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This item was submitted to Loughborough's Research Repository by the author. Items in Figshare are protected by copyright, with all rights reserved, unless otherwise indicated. Promoting individual, organisational and group health through workplace Promoting individual, organisational and group health through workplace team sport participation team sport participation PLEASE CITE THE PUBLISHED VERSION PUBLISHER © Andrew Brinkley PUBLISHER STATEMENT This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial- NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/ LICENCE CC BY-NC-ND 4.0 REPOSITORY RECORD Brinkley, Andrew J.. 2019. “Promoting Individual, Organisational and Group Health Through Workplace Team Sport Participation”. figshare. https://hdl.handle.net/2134/32138.

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Page 1: Promoting individual, organisational and group …...Taking part in Sportivate: Notts County FC Football in the Community. Loughborough University. iv Dissemination of Research Presentations

This item was submitted to Loughborough's Research Repository by the author. Items in Figshare are protected by copyright, with all rights reserved, unless otherwise indicated.

Promoting individual, organisational and group health through workplacePromoting individual, organisational and group health through workplaceteam sport participationteam sport participation

PLEASE CITE THE PUBLISHED VERSION

PUBLISHER

© Andrew Brinkley

PUBLISHER STATEMENT

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at:https://creativecommons.org/licenses/by-nc-nd/4.0/

LICENCE

CC BY-NC-ND 4.0

REPOSITORY RECORD

Brinkley, Andrew J.. 2019. “Promoting Individual, Organisational and Group Health Through Workplace TeamSport Participation”. figshare. https://hdl.handle.net/2134/32138.

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Promoting Individual, Organisational and Group Health Through Workplace Team Sport

Participation

by

Andrew Brinkley

A Doctoral Thesis

Submitted in partial fulfilment of the requirements

for the award of

Doctor of Philosophy of Loughborough University

October 2017

© Andrew Brinkley 2017

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For my family

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Abstract Working age adults are at a high risk of inactivity, a modifiable behaviour

associated with non-communicable illnesses, premature mortality, and

diminished organisational health. Limited evidence has investigated the

promotion of workplace team sport. This research utilised mixed methods to

investigate the efficacy and feasibility of providing workplace team sport.

Study one synthesised the evidence examining the efficacy of workplace team

sport. Study two used interviews to understand the facilitators and obstacles

influencing participation. In study three, a 12-week team sport intervention

programme for the workplace, was implemented, using a quasi-experimental

design, and evaluated for its impact on individual (e.g., fitness), social-group

(e.g., relationships) and organisational (e.g., productivity) outcomes. The

intervention was underpinned by self-determination theory. A RE-AIM

process-evaluation (Study four) was conducted to assess delivery and impact.

Workplace team sport participation is influenced by intrapersonal,

interpersonal, organisational, environmental and societal factors. A

participatory approach and needs-supportive environment may alleviate these

challenges. Findings indicate participation in workplace team sport has

benefits for individual, social group and organisational health. VO2 Max

(+4.5±5.80 ml/kg/min), PA duration (+154.74 minutes) and communication

(+3%) significantly improved over 12-weeks in the intervention group.

Qualitative evidence indicates workplace team sport has benefits for

employees and the organisation (e.g., behaviour change, wellbeing,

relationships and productivity). Efficacy and implementation of the programme

were highly successful. The adoption and maintenance of the programme

were moderately successful. The reach of the programme was less

successful.

In conclusion, team sport is a mode of workplace PA, with a high degree of

efficacy, and should be considered by employers and external stakeholders

promoting health within the workplace. Future research should continue to

examine the promotion of workplace team sport over the long-term.

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Acknowledgements To my supervisors, Dr Hilary McDermott and Dr Fehmidah Munir, thank you

for your expertise and guidance; and for not being content. Thank you for

developing me into the academic I am today. It has been a privilege to work

with you, I will never forget the patience and support you have offered me.

Thank you also to Dr Ian Taylor, Dr Claire Stevenson and Dr Rachel Grenfell-

Essam for your expertise and support, and the opportunities you have

afforded me.

Thank you to the organisations and participants who kindly volunteered to

take part in my research. Thank you for inviting me into your workplaces,

without you none of this would have been possible.

I would like to thank my friends within the office. Thank you to Svenja, Rob,

Julia, Beth, Dom, Chris, Charlotte, Donghyeon, Jordan, Emma, Danielle, Ellie,

Liina and Clare for the ‘banter’, advice and encouragement. It’s been a

pleasure to work alongside you all. Thank you to Josie Freeman, it was a

pleasure working with you. Thank you also to my friends in ØVB. Thank you

to Andy, Steve, Chris, Ollie, Jack, Tom and Oliver for listening to me ‘bang on’

about that ‘psychology stuff’ for three-years on those long-rides.

Mum, Dad and Neil, thank you for your love and for always supporting me,

and for shaping who I am today.

Finally, thank you to my girlfriend Ellie. Thank you for your unconditional love

and support. Thank you for always being there. I look forward to our journey

together.

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Publications Publications

Brinkley, A., McDermott, H., & Munir, F. (2017). What benefits does team

sport hold for the workplace? A systematic review. Journal of Sports

Sciences. 35(2), 136-148. doi: 10.1080/02640414.2016.1158852.

AB, HM and FM designed the study. AB conducted the literature search and

included/excluded studies. All authors contributed to the interpretation of the

findings.

Brinkley, A., Freeman, J., McDermott, H., & Munir, F. (2017). What are the

facilitators and obstacles to participation in workplace team sport? A

qualitative study. AIMS Public Health. 4(1), 94-126. doi:

10.3934/publichealth.2017.1.94.

AB, HM and FM designed the study. AB and FJ conducted data collection. AB

analysed the data. AB, HM and FM contributed to the interpretation of the

findings.

Brinkley, A., McDermott, H., Grenfell-Essam, R., & Munir, F. (2017). It’s time

to start changing the game: A 12-week workplace team sport

programme using a non-randomised intervention study. Sports

Medicine Open. 3(30). doi: 10.1186/s40798-017-0099-7.

AB, HM and FM designed the study. AB recruited participants, conducted

data collection and managed the intervention. AB analysed the data. All

authors contributed to the interpretation of the findings.

Brinkley, A., McDermott, H., & Munir, F. (2017). A mixed methods process

evaluation of a workplace team sport programme: A RE-AIM analysis.

AIMS Public Health. 4(5), 466-489. doi:

10.3934/publichealth.2017.5.466.

AB, HM and FM designed the study. AB recruited participants, conducted

data collection and analysed the data. All authors contributed to the

interpretation of the findings.

Reports

Munir, F., Brinkley, A., & McDermott, H. (2014). Taking part in Sportivate:

Notts County FC Football in the Community. Loughborough University.

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Dissemination of Research Presentations

Dissemination of research at national conference: McDermott, H., Brinkley, A.,

Grenfell-Essam, R., & Munir, F. (2017). Changing the Game: A 12-

week workplace team sport intervention. British Psychological Society

Annual Conference 2017. Brighton, UK.

Dissemination of research at university conference: Brinkley, A., McDermott,

H., & Munir, F. (2016). Changing the Game? A quasi-experimental

study. School of Sport, Exercise and Health Science Post Graduate

Research Students Conference 2016. Loughborough, UK.

Dissemination of research to public on behalf of the university: Brinkley, A.,

McDermott, H., & Munir, F. (2016). Workplace team sports and the

‘changing the game’ programme. Better workplace health – direct from

the experts’ event. Loughborough, UK

Dissemination of research to public on behalf of the university: Brinkley, A.,

McDermott, H., & Munir, F. (2017). Workplace team sport: A

consortium update. Affinity Health at Work Research Consortium.

London, UK.

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List of Abbreviations BMI: Body Mass Index

BNSSS: The Basic Needs

Satisfaction in Sport Scale

BNT: Basic Needs Theory

CHD: Coronary heart disease

CPS2: Copenhagen Psychosocial

Questionnaire II

CST: Chester Step Test

CTG: Changing the Game

CVD: Cardiovascular illnesses,

diseases and conditions

EPHPPT: Effective Public Health

Practise Project Tool

HR: Human resources

IPAQ: International Physical

Activity Questionnaire

(Short-Form)

ITT: Intention-to-Treat

MET: Metabolic equivalent of task

MRC: Medical Research Council

NRS: Need for Recovery Scale

PA: Physical activity

PSS: Perceived Stress Scale

RCT: Randomized control trial

RE-AIM: Reach, efficacy, adoption,

implementation,

maintenance

RPE: Rate of perceived exertion

SCQ: Sport Climate Questionnaire

SDT: Self-Determination Theory

SET: Social Exchange Theory

SIT: Social Identity Theory

SLS: Satisfaction with Life Scale

SVS: Subjective Vitality Scale

UWES: Utrecht Work Engagement

Scale

VO2 Max: Maximal oxygen uptake

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Table of Contents Abstract .................................................................................................................... i Acknowledgements .................................................................................................. ii

Publications ............................................................................................................. iii

Dissemination Of Research .................................................................................... iv

List Of Abbreviations .............................................................................................. v

List Of Figures By Chapter ..................................................................................... ix

List Of Tables By Chapter ....................................................................................... xi

List Of Appendices ................................................................................................. xii

Chapter 1 Health, The Workplace And Team Sport: An Introduction .................. 1 Introduction ........................................................................................................... 2 Thesis Structure .................................................................................................... 2 Physical Activity And The Workplace ..................................................................... 4

Physical Activity Guidelines And Working Age Adults ........................................ 4 Physical Activity And Employee And Organisational Health ............................... 8

Team Sport And The Workplace ......................................................................... 15 An Introduction ................................................................................................ 15

Aims And Research Questions ............................................................................ 17 Research Process ............................................................................................... 18 Ethics .................................................................................................................. 19

Chapter 2 ‘What Benefits Could Team Sport Have For The Workplace? A Systematic Review’ (Study 1) ............................................................................... 20

Introduction ......................................................................................................... 21 Literature Search And Assessment ..................................................................... 21 Workplace Physical Activity, Motivation And Behaviour Change ......................... 35

Self-Determination Theory And Behaviour Change ......................................... 37 Methodological Considerations And Workplace Team Sport ............................... 42

Chapter 3 ‘What Are The Facilitators And Obstacles In Workplace Team Sport? A Qualitative Study’ (Study 2) .............................................................................. 45

Introduction ......................................................................................................... 46 An Ecological Perspective ................................................................................... 47 Methods .............................................................................................................. 48

Research Design ............................................................................................. 48 Sampling ......................................................................................................... 49 Procedure ........................................................................................................ 49 Analysis ........................................................................................................... 52

Findings .............................................................................................................. 52 Participant Demographics ................................................................................ 52 Team Sport Participation ................................................................................. 52 Overview Of Themes ....................................................................................... 55 Intrapersonal Factors Influencing Participation In Workplace Team Sport ....... 56 Interpersonal Factors Influencing Participation In Workplace Team Sport ....... 60 Organisational Factors Influencing Participation In Workplace Team Sport ..... 63 Environmental Factors Influencing Participation In Workplace Team Sport ..... 69 Societal Factors Influencing Participation In Workplace Team Sport ............... 72

Discussion ........................................................................................................... 74 The Influence Of Intrapersonal Factors ............................................................ 74

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The Influence Of Interpersonal Factors ............................................................ 75 The Influence Of Organisational Factors ......................................................... 76 The Influence Of Environmental Factors .......................................................... 77 The Influence Of Societal Factors .................................................................... 78 Limitations ....................................................................................................... 79

Conclusion .......................................................................................................... 79

Chapter 4 ‘Changing The Game’: A 12-Week Team Sport Programme For The Workplace – Methods And Results At T0-T1 (Study 3) ....................................... 80

Introduction ......................................................................................................... 81 Theoretical Underpinnings ................................................................................... 82

Satisfying Basic Psychological Needs Through A Programme Of Workplace Team Sport ...................................................................................................... 82

Study Aims, Objectives And Hypothesis .............................................................. 83 Aims ................................................................................................................ 83 Objectives........................................................................................................ 83 Hypothesis ....................................................................................................... 84

Methods .............................................................................................................. 85 Design ............................................................................................................. 85 Participants ...................................................................................................... 87 Intervention Components ................................................................................. 92 Outcome Measures ......................................................................................... 98 Ethics ............................................................................................................ 107 Procedure ...................................................................................................... 109 Process Evaluation ........................................................................................ 110 Data Management And Analysis .................................................................... 110

Results .............................................................................................................. 112 Recruitment Rate ........................................................................................... 112 Attrition Rate .................................................................................................. 112 Participant Demographics .............................................................................. 112 Observations Of T0 Data ............................................................................... 123 Main Analysis ................................................................................................ 123

Discussion ......................................................................................................... 141 Summary Of Findings .................................................................................... 141 Limitations ..................................................................................................... 145

Conclusion ........................................................................................................ 149

Chapter 5 ‘Changing The Game’: Process-Evaluation – Methods And Findings (Study 4) ............................................................................................................... 150

Introduction ....................................................................................................... 151 Study Aims ........................................................................................................ 152 Methods ............................................................................................................ 152

Programme Overview .................................................................................... 152 Participants .................................................................................................... 153 Measures ...................................................................................................... 154 Data Management And Analysis .................................................................... 163 Re-Aim Dimensional Rating ........................................................................... 164

Findings ............................................................................................................ 168 Participants .................................................................................................... 168 Reach ............................................................................................................ 168 Efficacy .......................................................................................................... 170 Adoption ........................................................................................................ 176 Implementation .............................................................................................. 181 Maintenance .................................................................................................. 186

Discussion ......................................................................................................... 190 Summary Of Findings .................................................................................... 190

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Limitations ..................................................................................................... 197 Conclusion ........................................................................................................ 201

Chapter 6 Discussion .......................................................................................... 202 Introduction ....................................................................................................... 203 The Efficacy Of Participation In Workplace Team Sport .................................... 203

Individual Health ............................................................................................ 203 Social Group Health ...................................................................................... 208 Organisational Health .................................................................................... 214

The Acceptability And Feasibility Of Promoting Workplace Team Sport ............ 217 Acceptability .................................................................................................. 217 Feasibility ...................................................................................................... 220

Limitations And Future Directions ...................................................................... 226 Research Design And Measures ................................................................... 226 Theoretical Framework .................................................................................. 227 Participants .................................................................................................... 227

Contribution To Knowledge ............................................................................... 229 Conclusion ........................................................................................................ 231

References ........................................................................................................... 232

Appendices .......................................................................................................... 284

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List of Figures by Chapter Figure 1.1: Schematic Overview of Thesis Structure ................................................ 3 Figure 2.1: Identification and Selection of Publications Flowchart ........................... 22 Figure 2.2: Overview of Self-Determination Theory. Adapted from Deci and Ryan (2000) ..................................................................................................................... 39 Figure 4.1: Schematic Overview of ‘Changing the Game’ ....................................... 86 Figure 4.2: Changing the Game - Recruitment and Attrition Data ......................... 114 Figure 4.3: Interaction Effect from Intervention and Control Group on Estimated VO2 Max (ml/kg/min). Standard Error is Displayed. ....................................................... 124 Figure 4.4: Interaction Effect from Intervention and Control Group on Estimated Absolute VO2 Max (L/min). Standard Error is Displayed. ...................................... 124 Figure 4.5: Interaction Effect from Intervention and Control Group on MET’ PA per week. Standard Error is Displayed. ....................................................................... 125 Figure 4.6: Interaction Effect from Intervention and Control Group on MET’ Vigorous PA per week. Standard Error is Displayed. ............................................................ 126 Figure 4.7: Interaction Effect from Intervention and Control Group on MET’ Moderate PA per week. ......................................................................................................... 126 Figure 4.8: Interaction Effect from Intervention and Control Group on MET’ Walking per week. Standard Error is Displayed. ................................................................. 127 Figure 4.9: Interaction Effect from Intervention and Control Group on week-by-week PA duration (minutes). Standard Error is Displayed............................................... 128 Figure 4.10: Interaction Effect from Intervention and Control Group on Sitting Time per day. Standard Error is Displayed. .................................................................... 129 Figure 4.11: Interaction Effect from Intervention and Control Group on Subjective Vitality. Standard Error is Displayed. ..................................................................... 130 Figure 4.12: Interaction Effect from Intervention and Control Group on Quality of Life. Standard Error is Displayed. .......................................................................... 130 Figure 4.13: Interaction Effect from Intervention and Control Group on Stress. Standard Error is Displayed. .................................................................................. 131 Figure 4.14: Interaction Effect from Intervention and Control Group on Occupational Fatigue. Standard Error is Displayed. .................................................................... 131 Figure 4.15: Interaction Effect from Intervention and Control Group on Sickness Absence. Standard Error is Displayed. .................................................................. 132 Figure 4.16: Interaction Effect from Intervention and Control Group on Sickness Presenteeism. Standard Error is Displayed. .......................................................... 132 Figure 4.17: Interaction Effect from Intervention and Control Group on BMI (kg/m2). Standard Error is Displayed. .................................................................................. 133 Figure 4.18: Interaction Effect from Intervention and Control Group on Physical Health Ratings. Standard Error is Displayed.......................................................... 134 Figure 4.19: Interaction Effect from Intervention and Control Group on Mental Health ratings. Standard Error is Displayed. ..................................................................... 134 Figure 4.20: Interaction Effect from Intervention and Control Group on Group Cohesion. Standard Error is Displayed. ................................................................. 135 Figure 4.21: Interaction Effect from Intervention and Control Group on Relationships with Superiors. Standard Error is Displayed. ......................................................... 136 Figure 4.22: Interaction Effect from Intervention and Control Group on Relationships with Colleagues. Standard Error is Displayed. ....................................................... 136

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Figure 4.23: Interaction Effect from Intervention and Control Group on Communication. Standard Error is Displayed. ....................................................... 137 Figure 4.24: Interaction Effect from Intervention and Control Group on Job Satisfaction. Standard Error is Displayed. ............................................................. 137 Figure 4.25: Interaction Effect from Intervention and Control Group on Job Performance. Standard Error is Displayed. ........................................................... 138 Figure 4.26: Interaction Effect from Intervention and Control Group on Team Performance. Standard Error is Displayed. ........................................................... 139 Figure 4.27: Interaction Effect from Intervention and Control Group on Work-Engagement (Vigour). Standard Error is Displayed. .............................................. 139 Figure 4.28: Interaction Effect from Intervention and Control Group on Work-Engagement (Dedication). Standard Error is Displayed. ........................................ 140 Figure 4.29: Interaction Effect from Intervention and Control Group on Work-Engagement (Absorption). Standard Error is Displayed. ....................................... 140 Figure 4.30: Interaction Effect from Intervention and Control Group on Work-Engagement (Total Score). Standard Error is Displayed. ...................................... 141 Figure 5.1: Schematic Overview of Process-Evaluation Findings. ........................ 169 Figure 5.2: Changing the Game attendance over 12-weeks. (WK = Week). Standard error bars are displayed. ....................................................................................... 179

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List of Tables by Chapter Table 2.1: Randomized Control Trials and Interventions ......................................... 24 Table 2.2: Non-RCT Intervention Studies (No Control Group) ................................ 26 Table 2.3: Cross-Sectional Studies ......................................................................... 28 Table 2.4: Qualitative Studies ................................................................................. 29 Table 2.5: Studies Retrieved Post-Publication ........................................................ 31 Table 3.1: Interview Schedule - Study 2.................................................................. 51 Table 3.2: Participant Demographics - Study 2 ....................................................... 53 Table 3.3: Template Analysis - Study 2................................................................... 57 Table 4.1: Theoretical Underpinnings of 'Changing the Game' ............................... 95 Table 4.2: Mean and Standard Deviation Heart Rate Recorded at Each Step Level .............................................................................................................................. 100 Table 4.3: Participant demographic and T0 data. .................................................. 116 Table 4.4: Individual health outcomes for the team sport (intervention) and control groups assessed using a mixed ANOVA at baseline (T0) and at the end of the intervention (T1). ................................................................................................... 117 Table 4.5: Social group outcomes for the team sport (intervention) and control groups assessed using a mixed ANOVA at baseline (T0) and at the end of the intervention (T1). ................................................................................................... 120 Table 4.6: Organisational health outcomes for the team sport (intervention) and control groups assessed using a mixed ANOVA at baseline (T0) and at the end of the intervention (T1). ............................................................................................. 121 Table 5.1: Post Changing the Game Interview Schedule - Intervention Group ...... 156 Table 5.2: Post Changing the Game Interview Schedule - Workplace Champions 157 Table 5.3: Post Changing the Game Focus Group Schedule - Control Group....... 159 Table 5.4: Details of process evaluation participation. Dimensions assessed based on participants ....................................................................................................... 162 Table 5.5: Changing the Game Process Evaluation Template Analysis ................ 165 Table 5.6: Descriptive statistics and Pearson correlations for autonomy support, competence, choice (autonomy), internal perceptions of the locus of causality (autonomy), volition (autonomy) and relatedness. *P<.05, **P<.01, ***P<.001. ..... 188 Table 5.7: Summary of multiple regression analysis predicting autonomy support from autonomy support, competence, choice (autonomy), internal perceptions of the locus of causality (autonomy), volition (autonomy) and relatedness. *P<.05. ......... 188

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List of Appendices

Appendix 1: Systematic review search strategy and assessment ........................ 284 Appendix 2: Changing the Game information sheet, informed consent from, HSQ and waiver from participating organisation. ........................................................... 286 Appendix 3: Workplace champion training manual............................................... 296 Appendix 4: Secondary outcome measures questionnaire. .................................. 306 Appendix 5: Week-by-week physical activity diary. .............................................. 316 Appendix 6: Process evaluation questionnaire – post participation. ..................... 317

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Chapter 1: Introduction

1

Chapter 1 Health, the workplace and

team sport: An introduction

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Chapter 1: Introduction

2

Health, the workplace and team sport: An introduction

Introduction This chapter provides the evidence for the health and work benefits of

providing physical activity (PA) opportunities within a workplace setting. An

introduction for why the benefits of team sports may be more advantageous

for workplaces than individual physical activity interventions is given.

supported by evidence from the literature. Finally, the aims, research

questions and methodology are presented.

Thesis structure This thesis is constructed from six chapters (see Figure 1.1 for a

schematic overview). Chapter 1 introduces the landscape of the thesis and

provides a rationale for providing team sport in a workplace setting. Chapter 2

(study 1) reviewed the evidence examining the efficacy of workplace team

sport. This review was published in April 2015 (see Brinkley, McDermott and

Munir, 2017a). Chapter 3 (study 2), a qualitative investigation with employees

both participating and not participating in workplace team sport explored the

facilitators and obstacles associated with participation. This study was

published in February 2017 (see Brinkley, McDermott and Munir, 2017b). The

data collected from studies 1 and 2 informed the design of a team sport

intervention for the workplace. The methods and findings of this intervention

programme (i.e., ‘Changing the Game’) are presented in Chapter 4 (study 3).

This study was published in August 2017 (see Brinkley, McDermott, Grenfell-

Essam & Munir, 2017c). Chapter 5 presents a process-evaluation of

‘Changing the Game’ (CTG) (study 4). This process evaluation used a mixed

methods approach and was guided by the RE-AIM framework (Gaglio, Shoup

and Glasgow, 2013), and was accepted for publication in October 2017 (See

Brinkley, McDermott & Munir, 2017d). Finally, Chapter 6 discussed the

findings presented in this thesis. The discussion centres on the implications

for the future research, the limitations of the current thesis and

recommendations for practise and policy.

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Chapter 1: Introduction

3

Figure 1.1: Schematic Overview of Thesis Structure

Chapter 1 Introduction

Chapter 2 Study 1: What benefits does team

sport have for the workplace: A systematic review

Chapter 3 Study 2: What are the facilitators and obstacles in workplace team

sport? A qualitative study

Chapter 4 Study 3: 'Changing the Game': A

12-week programme for the workplace - methods and findings

Chapter 5 Study 4: Team sport in the

workplace? A RE-AIM evaluation of 'Changing the Game'

Chapter 6 Discussion of findings

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Chapter 1: Introduction

4

Physical activity and the workplace

Physical activity guidelines and working age adults Physical activity can be considered bodily movement that results in an

increase in metabolic energy expenditure (Colberg et al., 2016; Ekelund et al.,

2016). Common modes of physical activity are sport and exercise (Ekelund et

al., 2016). Sport can be considered competitive and non-competitive physical

activity with rules or traditions, whereas exercise is structured and planned

physical activity (Council of Europe, 2001; Colberg et al., 2016; Ekelund et al.,

2016).

National and international guidelines state working age adults, aged

between 18 to 64 years should, at a minimum, participate in 150 minutes of

moderate intensity PA (>3-6 MET) (e.g., cycling) or 75 minutes of vigorous

physical activity (PA) (>6 MET) (e.g., team sport, running) per week in bouts

of more than 10 minutes (Department of Health, 2011; Townsend,

Wickramasighe, Williams, Bhatnager & Rayner, 2015; World Health

Organisation, 2010). For observable adaptations in individual health

outcomes, the World Health Organisation (2010) suggest working age adults

should participate in double the recommended weekly guidelines (i.e., 300

minutes of moderate intensity or 150 minutes of vigorous PA per week).

In developed countries, working age adults are failing to meet these

guidelines (World Health Organisation, 2010). Within the UK, 33% of working

age men and 45% of working age women fail to meet minimum PA guidelines

(Townsend et al., 2015). From an economics perspective, the accumulative

impact of inactivity in the UK was calculated as £8.2 billion in 2014 (UK

Active, 2014). Furthermore, a recent pooling of global data analysed

conservatively through sensitivity analysis found $67.5 billion is spent per

annum on the global direct health-care and indirect costs of inactivity (Ding et

al., 2016). Therefore, arguments within the literature suggest urgent action is

required to address the apparent and well-reported global ‘inactivity

pandemic’ (Andersen, Mota & Di Pietro, 2016; Das & Horton, 2016).

A plausible explanation for this pandemic of inactivity within a

workplace setting may be the increasing time employees spend at work in job

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Chapter 1: Introduction

5

roles which encourage sedentary behaviour (Hallal et al., 2012). Activities

which require low levels of metabolic energy expenditure (<1.5 MET) whilst

sitting or lying down can be categorised as sedentary behaviour (e.g.,

computer use, desk bound job roles) (Atkin et al., 2012; Hamilton et al., 2008).

Sedentary behaviour can be assessed through self-reported questionnaires

(e.g., TV viewing time, computer usage, diaries) and objective measurement

tools (e.g., accelerometers, posture indicators, biometric markers) (Atkins et

al., 2012; Kelly, Fitzsimons & Baker, 2016). Despite their acceptability and

feasibility to assess mode and duration of sedentary behaviour, self-reported

measures may over- and under-estimate sedentary time due to recall bias

and social desirability, and therefore are limited in their test-retest reliability

and content validity (Atkin et al., 2012; Kelly et al., 2016). Objective measures

whilst offering superior test-retest reliability and strong concurrent validity may

be limited in their content validity, acceptability and feasibility (Atkin et al.,

2012; Kelly et al., 2016). For example, accelerometers struggle to capture

postural change and frequently classify standing as sedentary behaviour

(Atkins et al., 2012; Kelly et al., 2016). Moreover, measures of postural

change may be limited by participant acceptability (e.g., removing the monitor)

and concurrent validity (i.e., identification of mode of sedentary behaviour)

(Atkin et al., 2012; Kelly et al., 2016). Therefore, recommendations of

research indicate an approach utilising objective and subjective measures of

intensity, duration and frequency is favourable (Atkin et al., 2012; Kelly et al.,

2016).

Although work should be considered good for health, the modern

workplace may contribute to the maintenance of sedentary behaviour (Batt,

2009; Del Pozo-Cruz, Gusi, Adsuar, del Pozo-Cruz, Parraca, & Hernandez-

Mocholí, 2013). Indeed, Waddell and Burton (2006) found adults spend

upwards of a third of their life at work. Further, Hallal et al. (2012) argue

increases in technology and subsequent working practises have resulted in a

decrease in energy expenditure and PA in the workplace. This has created

white collar workforces which do not or cannot participate in adequate PA

within their job role. More specifically, research has indicated white collar

employees in desk bound roles (e.g., call centres, offices) with limited

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capacity for occupational physical activity are at greater risk to non-

communicable illness and disease and ill-health than blue employees with

high levels of occupational physical activity (e.g., builders, engineers)

(Eriksen, Rosthøj, Burr & Holtermann et al., 2015; Owen, Healy, Matthews &

Dunstan, 2010; del Pozo-Cruz et al., 2013). Therefore, it is unsurprising that

evidence calls for the addition of supplemented workplace PA (e.g., active

desks, walking, sport) (Andersen et al., 2016; Das & Horton, 2016; Ding et al.,

2016; Ekelund et al., 2016).

The World Health Organisation (2010) state the importance of

promoting health and PA in stable community settings, such as the workplace.

Evidence highlights the positive impact advocacy and participation in

workplace health promotion may have upon the individual employee, their

community (e.g., colleagues, friends, family) and the organisation (Batt, 2009;

Conn et al., 2009; Dugdill, Brettle, Hulme, McCluskey & Long, 2008; Rongen,

Robroek, van Lenthe & Burdof, 2013). Promoting PA within a workplace may

allow schemes and programmes the capability to reach a large, captive and

stable group of individuals in a functioning social network (Robroek, van de

Vathorst, Hilhorst & Burdof, 2012; Yancey et al., 2004a). The duty of care

provided by employers may also encourage participation in workplace PA

(Batt, 2009; Robroek et al., 2012; Yancey et al., 2004a; Yancey et al., 2004b).

Physical activity behaviour is known to be influenced by a dynamic

array of intrapersonal, interpersonal, organisational and environmental factors

which occur over the lifespan of working age adults (Bauman et al., 2012;

Murray et al., 2017; Mazzola, Moore & Alexander, 2017; Malik et al., 2014;

Yang et al., 2014). However, the exact correlates which influence participation

in workplace physical activity are ambiguous (Keegan et al., 2016). However,

previous research has suggested the promotion of workplace PA is influenced

by facilities (Halonen et al., 2015); external schemes (e.g., Workplace

Challenge; see Carter et al., 2014); funding (McEachan, Lawton Jackson,

Conner & Lunt, 2008); time (Tavares & Plotnikoff, 2008); the impact or

presence of a workplace culture (Bennie, Salmon & Crawford, 2010; Scherrer,

Sheridan, Sibson, Ryan, & Henley, 2010); social support (Conn et al., 2009);

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the influence of workplace champions (Shephard, 1996); and the support of

superiors or managers (Veitch, Clavisi & Owen, 1999).

With regard to participation, research has consistently demonstrated a

non-linear relationship between participation in PA (including sport) and age in

working adults (Bauman et al., 2012; Mazzola et al., 2017; Malik et al., 2014;

Yang et al., 2014). More specifically, a survival analysis by Lunn (2010) of

self-reported sports participation data suggests participation in sport (i.e.,

team and individual) negatively decreases with age following a peak at age

15-21 (i.e., during secondary and higher education). Indeed, age and

associated responsibilities (e.g., child-care, work-life balance, marital status)

are known to challenge participation in PA (Bauman et al., 2012; Lunn, 2010).

Qualitative research has indicated parents attribute participation in PA in a

workplace or leisure-time context to feelings of guilt and a lack of

responsibility (Audrey & Proctor, 2015). While, Lunn (2010) indicates

transition from education (e.g., university) to the workplace its responsibility

contributes to dropout from sport and exercise. When considering employee

participation, social-economic positions (e.g., wage and disposable income)

are known to influence adult participation (Lunn, 2010). More specifically,

individuals with a low social-economic position (i.e., lower wage and high

expenses) are less likely to participate or adhere to PA (Bauman et al., 2012;

Lunn, 2010). Furthermore, challenges specific to active commuting may be

increased by child-care (Yang et al., 2015). Indeed, transport associated with

dependents (e.g., transporting children to and from school) may remove the

capacity for regular active transport (Audrey & Proctor, 2015, Yang et al.,

2014). Finally, workload is thought to increase with age, time and

responsibility in the workplace (Waddell and Burton, 2006). Recently,

workload has been negatively associated with participation in workplace PA

(Mazzola et al., 2017). However, little is known about how these challenges to

PA participation influence specific modes of activity in a range of workplace

settings and industries. Therefore, it remains important to understand the

factors which underpin modes of PA (e.g., team sport) within differing contexts

such as the workplace. The current study aims to address this lack of

understanding though investigating participation in workplace team sport.

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Physical activity and employee and organisational health To prevent, manage and treat ill-health, and promote health, wellbeing

and quality of life through PA, a variety of methods (e.g., gym training/classes,

walking, active transport, education, activity challenges, active work stations)

have been adopted in a workplace setting with varying levels of acceptability,

feasibility and efficacy (Batt, 2009; Brockman & Fox, 2011; Conn et al., 2009;

Dishman, DeJoy, Wilson & Vandenberg, 2009; MacEwen, MacDonald & Burr,

2015; Malik et al., 2014; Plotnikoff, McCargar, Wilson & Loucaides, 2005;

Rongen et al., 2013). However, these schemes rely on specific tailoring to

individual workplaces and often fail to create pathways to maintainable

changes in behaviour activity behaviour (Batt, 2009; Conn et al., 2009; Malik

et al., 2014). Moreover, despite its popularity within society, research within a

workplace setting is only beginning to investigate the impact of sport.

Employee health

Compelling evidence suggests that physical inactivity increases the

risk for diseases associated with physical fitness such as cardiovascular

disease (CVD) (Hamilton, Healy, Dunstan, Zderic & Owen, 2008); type 2

diabetes (Hu et al., 1999, 2001); obesity (Liou, 2007; Medina, Janssen,

Campos & Barquera, 2013); osteoporosis (Tan, LaMontagne, Sarmugam, &

Howard, 2013); forms of cancer (Brenner, 2014; Kohl, LaPorte & Blair, 1988;

Na & Olinyk, 2011); and markers of poor mental health and wellbeing (Kim et

al., 2012; Lindwall, Ljung, Hadžibajramović & Jonsdottir, 2012).

Physical fitness is the ability to conduct daily tasks (e.g., job role) with

vitality and control, whilst maintaining energy to participate in supplementary

PA (e.g., team sport) (Caspersen, Powell & Christenson, 1985). Physical

fitness can be measured in terms of an individual’s cardiorespiratory and

musculoskeletal function (Caspersen et al., 1985). Physical fitness is

measured using objective laboratory (e.g., gas-analysis, densitometry),

applied field tests (i.e., estimations of absolute value) and anthropometric

indicators (e.g., stature) (Caspersen et al., 1985; Wenger & Bell, 1986). Lower

physical fitness is an identifiable risk-factor for non-communicable illness and

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disease (Blair & Brodney, 1999; Ekelund et al., 2016; Ding et al., 2016; Lee et

al., 2012).

Within the UK, CVD accounts for >1.6 million adult hospital inpatient

visits (10.1% men and 6.3% women over the age of 18 years) per year.

Furthermore, CHD is the leading cause of mortality worldwide, with 70,000

deaths per year in the UK alone (British Heart Foundation, 2017). In 2014,

65% of working age men and 58% of working age women were considered

overweight or obese within the UK, and upwards of 3.2 million individuals are

known to have type 2 diabetes (Health and Social Care Information Centre,

2016). Global trends reflect this with more than 1.9 billion working age adults

being classified as overweight (600 million obese), and estimates suggesting

422 million adults globally to be living with diabetes (World Health

Organisation, 2016). The World Health Organisation (2016) estimated in

2015, a third of the cancer mortality is accountable to modifiable risk factors

including inactivity and body mass increases (2.9 million deaths).

Finally, 300 million individuals suffer with depression (World Health

Organisation, 2017), while statistics from the UK indicate at least one in six

people aged over 16 years have a common mental health problem (e.g.,

generalized anxiety disorder, post-traumatic stress disorder) (Mental Health

Foundation, 2016). Therefore, promoting PA remains a central component of

international and national public health policy (Department of Health, 2011;

World Health Organisation, 2010).

Moreover, it remains important to consider the metaphysical stance of

mind-body dualism when investigating the impact of physical activity on

mental health and wellbeing (Mehta, 2011; Scully, Kremer, Meade, Graham &

Dudgeon, 1998). Mind-body dualism philosophy assumes the mind and body

are separate entities and therefore react differently to a given stimulus (e.g.,

PA) (Scully et al., 1998). The neurological and biological pathology of mental

health conditions and illness (e.g., depression, generalized anxiety disorder,

PTSD) may be considered the ‘body’, while wellbeing (e.g., happiness,

satisfaction, emotion, feeling) can be considered the ‘mind’ (Scully et al.,

Mehta, 2011). When applied to a PA both the body and mind can allow and

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individual to negotiate a mental health condition or illbeing. Indeed, an

individual’s biological and neurological response to PA (e.g., endorphin levels

decreases cortisol, stimulated production of norepinephrine, serotonin and

brain level neurotrophic factor) can reduce the prevalence of mental health

conditions, while subjective wellbeing can provide a disassociative effect on

illbeing (i.e., low subjective wellbeing) (Mehta, 2011; Scully et al., 1998).

Meeting national and international PA guidelines can reduce the risk of

CVD by as much as 50% (Bassuk & Manson, 2005; Myers et al., 2015), and

reduce the disease process of CVD (Dickins & Braun, 2017; Nes, Gutvik,

Lavie, Nauman & Wisløff, 2017). Likewise, participation in PA can prevent risk

factors associated with ischaemic and haemorrhagic stroke, such as

hypertension, high body mass index, type 2 diabetes and stress (Aune, Norat,

Leitzmann, Tonstad, Johan Vatten, 2015; Colberg et al., 2016; Diaz &

Shimbo, 2013; Gallanagh, Quinn, Alexander & Walters, 2011; Lee, Folsom &

Blair, 2003; Wendel-Vos et al., 2004). For example, one systematic review

found a 30% reduction in type 2 diabetes risk and incidence in adults who met

the minimum PA guidelines (Lambert & Bull, 2014).

PA has a protective effect upon some forms of cancer (Courneya &

Friedenreich, 2010; Friedenreich, 2001; Nunez et al., 2017). Studies have

found that adults who meet the PA guidelines have a reduced risk of colon,

rectal, breast, prostate, lung, endometrial, ovarian, pancreatic, testicular,

hematopoietic and bladder cancer (Lee, 2003; Liu et al., 2016; Thune &

Furberg, 2001). Regular PA also contributes to a lower incidence of poor

mental health and poor quality of life in working age adults (Penedo & Dahn,

2005; White et al., 2017). In particular, reduced psychological distress and

elevated wellbeing has been linked to participation in low-intensity PA (e.g.,

walking) (Hawker, 2012; Scuamannia et al., 2017; Thøgersen-Ntoumani, Fox

& Ntoumanis, 2005). Whilst, participation in sport and socially supportive

activities has been associated with reduced stress (Asztalos et al., 2012;

White et al., 2017).

PA behaviour (i.e., mode, duration, intensity) can be captured through

self-reported (e.g., questionnaires, diaries) and objective (e.g., doubly labelled

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water, pedometers, accelerometers, calorimetry) measurement tools, each

with their respective challenges to reliability and validity (Kelly et al., 2016;

Ndahimana & Kim, 2017; Sylvia, Berstein, Hubbard, Keating, Anderson et al.,

2014). Moreover, self-reported measures are known to be effective at

classifying mode, yet challenged by their test-retest reliability and social

desirability bias (e.g., participant over or under estimates behaviour due to

social influence) (Kelly et al., 2016; Ndahimana & Kim, 2017; Sylvia et al.,

2014). In contrast, gold standard objective measures such as accelerometers,

doubly labelled water, biometric monitoring (e.g., heart rate monitors) and

pedometers are effective at assessing metabolic energy expenditure and total

body movement respectively in various modes of PA, yet are limited in their

ability to understand specific PA mode, are associated with low participant

acceptability and feasibility, are expensive to adopt within many studies and

may encourage participants to adapt their behaviour (Kelly et al., 2016;

Ndahimana & Kim, 2017; Sylvia et al., 2014). Therefore, the gold standard

measure of PA may be a multi-measure approach which is specific to the

context measured (Kelly et al., 2016; Ndahimana & Kim, 2017; Sylvia et al.,

2014).

Organisational health

Evidence suggests that PA has several further health benefits

associated with work. By reducing the risk factors associated with non-

communicable diseases and ill-health PA may reduce the prevalence of

sickness absenteeism (Amlani & Munir, 2014; Michie & Williams, 2003) and

sickness presenteeism (Hilton, Scruffham, Sheridan, Cleary, Whiteford, 2008;

Widera, Chang & Chen, 2010). PA has also been found to reduce work-

related fatigue and job satisfaction (an indicator of well-being) and improve

work productivity (Dutta, Koepp, Stovitz, Levine & Pereira, 2014; Evers,

Castle, Prochaska & Prochaska, 2014; Leijten, van den Heuvel, Ybema, van

der Beek, Robroek & Burdorf, 2014; Lindwall, Gerber, Jonsdottir, Börjesson &

Ahlborg Jr, 2014; Thorp, Kingwell, Owen & Dunstan, 2014).

Furthermore, there is growing evidence that supports inverse

relationship between sedentary time (e.g., computer usage) and productivity

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(Madeleine, Vangsgaard, Hviiid Andersen, Ge & Arendt-Nielsen, 2013; Puig-

Iberia et al., 2015). Several studies have also found that high rates of

inactivity to be associated with reduced work performance and job satisfaction

(Thorsteinsson, Brown & Richards, 2014; Yuan, Tan, Huang & Zou, 2014); job

stress (Edwards, Guppy & Cockerton, 2007); musculoskeletal pain (del Pozo-

Cruz et al., 2013; Rainville, Hartigan, Martinez, Limke, Jouve & Finno, 2004);

and work-engagement (ten Brummelhuis & Bakker, 2012; van Berkel, Proper,

van Dam, Boot, Bongers, & van der Beek, 2013).

Whilst employment is considered good for health and wellbeing

(Waddell & Burton, 2006), factors such as mental, emotional and physical

exertion at work, other workplace demands, (e.g., overtime) and lack of sleep

contribute to the onset of occupational fatigue (Techera, Hallowell,

Stambaugh & Littlejohn, 2016; Waddell & Burton, 2006). Occupational fatigue

and the need for psychological and physical recovery from work, are

associated with lower productivity and the prevalence of mental ill-health

(Sluiter, de Croon, Meijman & Frings-Dresen, 2003), sickness absence (de

Croon et al., 2003), burnout (Kant, Bultmann, Schroer, Beurskens, van

Amelsvoort & Swaen, 2003), staff turnover and poor work-engagement (Leiter

& Stright, 2009; Lu, Barriball, Zhang & While, 2012; Mohsin, Lengler &

Aguzzoli, 2015; Mohsin, Lengler & Kumar, 2013; Steel & Nestor, 1984).

Within the UK, a total of 131 million days of work and £100 billion loss

was recorded due to ill-health in 2014 (Office for National Statistics, 2014).

The direct cost of inactivity and sedentary behaviour (i.e., a group of

behaviours relating to low-energy expenditure; Hamilton et al., 2008) related

to diseases currently stands at £5.5 billion per year in the UK (Department of

Work and Pensions, 2014). Consistent with these data, Ding et al. (2016)

estimated the indirect (i.e., total productivity lost) cost of inactivity to be $13.7

billion globally. Likewise, the cost of staff turnover is substantial, with each

case, on average costing £30,614 (i.e., advertising and training fees, human

resources (HR) costs, loss of productivity, wages) in the UK (Oxford

Economics, 2014).

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However, these statistics only account for CHD, stroke, diabetes and

some forms of cancer, and often fail to include sickness presenteeism and

productivity based losses. Consequently, the detrimental impact of inactivity

on health outcomes may be underinflated, and the economic loss may be

significantly greater than what is reported within the literature. Therefore,

promoting PA to employees remains fundamental to organisational health

strategies and policy (Department of Health, 2011; Townsend,

Wickramasighe, Williams, Bhatnager & Rayner, 2015; World Health

Organisation, 2010).

The relationship between participation in PA and organisational health

outcomes is established (Batt, 2009). For example, a prospective cohort study

found that leisure time PA is associated with a significantly reduced risk of

sickness absence (van Amelsvoort et al., 2006). Likewise, a review clarifying

the relationship between PA and sickness absence by Amlani and Munir

(2014) found that weekly resistance and endurance training interventions

have a positive effect in reducing sickness absence (although the studies

were considered to have a medium risk of bias).

Participation in workplace PA may positively influence factors

contributing to productivity such as cognitive function and work-engagement

(Conn et al., 2009; Pronk, Martinson, Kessler, Beck, Simon & Wang, 2004;

Proper & van Mechelen, 2008). Standing, cycling or walking at the workstation

has been associated with improved cognitive function when compared to a

sitting condition (Mullane, Buman, Zeigler, Crespo & Gaesser, 2017), while

regular PA can improve working memory, sleep quality and cognitive function

(Kato et al., 2017; Peng Cox et al., 2016). While no research has investigated

the impact of sport on cognitive markers of productivity in employees,

research with undergraduate students participating in sport found

improvements in executive function and motor control (Chang et al., 2017;

Jacobson & Matthaeus, 2014).

Occupational fatigue and the need for recovery from work may be

reduced by regular participation in PA (Formanoy et al., 2016). Leisure-time

PA has been associated with a lower need for recovery in white water raft

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guides (i.e., a role with high physical demands) (Wilson, McDermott & Munir,

2016). Likewise, participation in ‘off-job’ activities (e.g., team sport) may

alleviate workplace pressure and stress, and improve momentary happiness,

relaxation and mood states (Coffeng, van Sluijs, Hendriksen, van Mechelen &

Boot, 2015; Formanoy et al., 2016; Oerlemans, Bakker & Demerouti, 2014).

Participation in workplace PA may contribute to reduced staff turnover

(Conn et al., 2009; White et al., 2017). However, while participation in PA may

not have the capacity to directly reduce the organisational antecedents for

staff turnover (e.g., workplace demands), the positive adaptations in individual

health and the social support may allow employees to cope better within the

workplace (Grawitch, Gottschalk & Munz, 2006; Sparks, Faragher & Cooper,

2001). Likewise, evidence suggests that fulfilling an employee’s needs for

personal growth, development and meaning at work fosters positive attitudes

and emotions towards the organisation, and therefore job satisfaction and

affect (Blake, Zhou & Batt, 2013; Conn et al., 2009; Dawson, Tracey & Berry,

2008; Judge et al., 2017).

Finally, work-engagement (i.e., vigour, absorption, dedication) is known

to contribute to productivity (Lu, Lu, Gursoy & Neale, 2016). Good evidence

has indicated work-engagement may be positively influenced by participation

in PA (White et al., 2017). Likewise, leisure-time PA has contributed to

increased work-vigour and a lower need for recovery (ten Brummelhuis &

Arnold, 2012). Moreover, work-vigour and work-absorption have been

associated with lower level of sitting in female employees (Munir et al., 2015).

However, the impact of workplace physical activity on work-engagement is

equivocal. For example, two studies failed to observe significant changes in

work-engagement over time following participation in a multi-component PA

intervention (Strijk, Proper, van Mechelen & van der Beek, 2013; van Berkel

et al., 2013).

Communication, interpersonal relationships and cohesion are widely

manipulated and studied variables within organisational interventions

(Cannon-Bowers and Bowers, 2006; Jones et al., 2004). Moreover, team

training to promote social group outcomes within the workplace has been

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associated with improved team performance and team productivity (Buljac-

Samardzic et al., 2010; McEwan et al., 2017). However, a criticism of previous

workplace PA interventions and programmes has been the absence of

measures relating to social group outcomes (e.g., communication,

interpersonal relationships, cohesion) and team productivity (Conn et al.,

2009; White et al., 2017).

This absence in measurement may been attributed to the type of

physical activities studied (e.g., walking, gym training/classes, active

transport, education, active work stations). These activities, whilst

implemented with a workforce population (Salas et al., 1992; Salas, Cooke &

Rosen, 2008), lack the inter-dependence associated with team performance,

cohesion and interpersonal relationships (Cannon-Bowers & Bowers, 2006;

Mach et al., 2010). One novel mode of PA recently embraced within the

literature is team sport (Department of Health, 2011; UK Government, 2015).

Initial evidence indicates participation in workplace team sport may have a

comparable impact on individual and organisational health outcomes to other

modes of workplace PA, while promoting social and task cohesion and

interpersonal relationships.

Team sport and the workplace

An introduction Equivocally, participation in sport is assumed to be ‘good for an

individual’s health’ (Berg, Warner & Das, 2015). This has led to stakeholders

promoting sport within a variety of settings without sufficient evidence to

support its efficacy, or a strong understanding of its acceptability and

feasibility (Berg et al., 2015; Evans et al., 2016). Despite being neglected as

mode of physical activity promotion for ‘all’ (see Berg et al., 2015), recent

health promotion research and recommendations have embraced sport and

team sport as a method to promote health within a workplace setting (e.g.,

Department of Health, 2011; UK Government, 2015). This form of mass

participation under the ethos ‘sport for all’ lacks evidence to support its

inclusion within public health promotion (Berg et al., 2015). Critically, there is

insufficient evidence to support this mode of health promotion when compared

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to more established modes of activity such a walking, sit-stand desk and

active transport (See Conn et al., 2009 for an overview). Likewise, there has

been a lack of research exploring the negative side of sport (Berg et al.,

2015). This thesis therefore attempts to address these limitations.

For the purposes of this thesis, team sport is defined as

competitive/non-competitive and informal/formal traditional team sports (e.g.,

baseball, basketball, cricket, soccer, handball, rugby); individual team sports

(e.g., badminton, cycling, running); team-based walking/activity challenges

(e.g., Global Corporate Challenge, Yomp, Workplace Challenge); or novel

group sports (e.g., archery, canoeing) (Berg et al., 2015). Within this thesis,

team walking and team activity challenges were considered as ‘team sports’,

given their inherent competitive nature (e.g., step goals, external rewards), the

social interaction present during participation and the organisational

processes that underpin these activities (e.g., organising walks, reliance on

others to participate) (Berg et al., 2015).

Both the academic literature and the grey literature report on

workplaces that have implemented a range of team sports (Carter et al., 2014;

Lee, 1991). For example, there are several commercial and non-commercial

initiatives that deliver workplace team sports programmes and competitions

(e.g., Sportivate, Workplace Challenge, and Corporate Games). These

initiatives arguably have increased the awareness and popularity of workplace

team sports, and have the capacity to promote a wide variety of sports to

organisations representing a range of industries (Carter et al., 2014).

However, evidence suggests, these schemes rely on the support from

external stakeholders, local governing bodies and sports partnerships to

influence employers’ views on sport and team sports as methods to effectively

promote health (Carter et al., 2014; Evans et al., 2016). Moreover, it is difficult

to assess the effectiveness of these schemes as their evaluations are not

presented as scientific studies (e.g., no control group, validated measures).

Therefore, further research is required to understand and evaluate the

acceptability, efficacy and feasibility of schemes and programmes relying

(e.g., Workplace Challenge) and not relying on stakeholders.

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A number of recent scientific reviews have reported on the efficacy of

modes of workplace PA on individual and organisational health outcomes

(e.g., Amlani & Munir, 2014; Conn et al., 2009; Malik et al., 2014). Whilst

these reviews provide a good insight into the efficacy of PA, they do not

examine sport, and more specifically team sport within the workplace. This

thesis addresses this gap by presenting results from a systematic review

conducted as part of the thesis (see Chapter 2).

Aims and research questions The aim of this research was to implement a pilot efficacy intervention

underpinned by behaviour change theory into a workplace setting. A further

aim was to assess its acceptability and feasibility, and its efficacy across

individual, social group and organisational health outcomes. The research

questions posed in this thesis are therefore presented in two phases (1. Study

design and intervention development, 2. Intervention implementation and

assessment). To design the intervention two qualitative studies were

conducted. The intervention was assessed using outcomes measures and a

process-evaluation. Research questions for each study phase are posed

below:

Phase 1: Study design and intervention development

1. What are the benefits of providing workplace team sport for

employees, employers, workplace teams and the organisation?

2. What are the environmental, social and behavioural enablers and

challenges that exist for employees and organisations to

participating in workplace team sport?

Phase 2: Pilot efficacy intervention implementation

1. What is the impact of a workplace team sport intervention on

markers of individual, social group and organisational health

outcomes?

2. What is the acceptability, efficacy and feasibility of providing a

theory-driven team sport intervention in a workplace setting?

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Research Process Following an iterative process (see Hagger & Chatzisarantis, 2011),

data collected from the systematic literature review and the two qualitative

studies were applied to the design of the workplace team sports intervention

study, and its process-evaluation. A mixed methods research approach (see

Anguera, 2014; Bowling, 2014; Camerino, Castaner & Anguera, 2014) adopts

quantitative and qualitative methods simultaneous or in sequence to interpret

and therefore investigate phenomena (Andrew & Halcomb, 2006; Molina

Azorin & Cameron, 2010; Todd, 2004). Mixed methods centre upon the

complementariness, completeness, development, expansion, corroboration,

compensation and diversity of the data collected and are well-established in

research (Bryman, 2006; Fiorini, Griffiths & Houdmont, 2016; Giacobbi Jr,

Poczwardowski & Hager, 2005; Henderson, Ainsworth, Stolarzcyk, Hootman

& Levin, 1999; Õstlund, Kidd, Wengstom & Rowa-Dewar, 2011).

A degree of debate surrounds the use of mixed methods research and

the philosophical paradigm underpinning this line of inquiry (Õstlund et al.,

2011). A criticism of mixed methods research has been the contrasting

epistemological and ontological positions underpinning the qualitative

interpretivist paradigm and quantitative positivist paradigm (Anguera, 2014;

Bowling, 2014; Camerino, Castaner & Anguera, 2014). However, Fiorini et al.

(2016) argued that the pragmatic paradigm can address the philosophical

challenges arising in mixed methods research. A pragmatic paradigm

considers both subjective and objective knowledge within the research

process and in the inquiry of a given phenomenon (Fiorini et al., 2016;

Morgan, 2007; Sale et al., 2002). Pragmatism is often considered the ‘what

works’ approach and therefore is ideally suited for use in an applied setting

such as the workplace or within public health research (Fiorini et al., 2016;

Giacobbi Jr, Poczwardowski & Hager, 2005). Pragmatism does not integrate

the contrasting philosophical paradigms, rather it considers the advantages

and disadvantages of each paradigm or method in a complementary position,

therefore making it useful during the adoption of a mixed methods

investigation (Giacobbi et al., 2005; Morgan, 2007).

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Chapter 1: Introduction

19

This thesis used pragmatism and mixed methods in sequence. Two

qualitative studies explored the perceived benefits, and enablers and barriers

to participation. These studies informed the design of a quantitative

intervention examining the efficacy of workplace team sport using objective

and validated measures of individual, social group and organisational health.

Likewise, the final study, a process evaluation used a simultaneous mixed-

methods approach to understand the acceptability, efficacy and feasibility of

workplace team sport. The process of triangulation (i.e., drawing evidence

from multiple sources) used within the process-evaluation expand the breadth

of information available (Molina Azorin & Cameron, 2010; Webb, Campbell,

Schwartz & Sechrest, 1966). Moreover, quantitative evaluations of applied

interventions are known to benefit from the exploratory insights of qualitative

research (Henderson et al., 1999; O’Cathain et al., 2014).

Ethics Prior to each study, the committee independently provided ethical

clearance. The ethical clearance for each study is provided in the respective

chapter. The research conducted was in all cases in compliant with the

guidelines and requirements outlined by Loughborough University’s Ethical

Advisory Committee (Sub Committee for Human Participants).

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Chapter 2 ‘What Benefits Could Team

Sport have for the Workplace? A

Systematic Review’ (Study 1)

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Study 1

What Benefits Could Team Sport have for the Workplace? A Systematic Review

Introduction

Chapter 1 provided an overview to the impact of participation in

workplace PA on employee and organisational health outcomes. Moreover,

an introduction to participation team was presented alongside the aims,

objective and research process adopted within this mixed methods thesis.

Recent evidence reflects the growing popularity of workplace team

sports (Adams et al., 2016; Barene et al., 2014a; Carter et al., 2014; Eichberg,

2009; Evans et al., 2016; Lee, 1991; Joubert et al., 2011). However,

workplace team sport studies are in their infancy. Therefore, the purpose of

this review was to synthesise the evidence on the benefits of team sports for

individual (e.g., fitness and health), group (e.g., teamwork relations) and

organisational health (e.g., sickness absence). This review includes evidence

from observational studies and qualitative studies to provide a comprehensive

understanding of workplace team sports and their benefits. This review was

published in April 2015 (see Brinkley et al., 2017a) and updated in October

2017.

Literature Search and Assessment

To identify the relevant articles, a search and inclusion and exclusion

criteria were established (see Appendix 1) and a computerised search was

conducted using the following databases; EBSCO, PsycARTICLES,

Medline/PubMed, SPORTDiscus, EMBASE, Web of Science and CENTRAL

(Cochrane Central Register of Controlled Trials) (see Brinkley et al., 2017a for

detailed overview of the search strategy, inclusion and exclusion criteria and

assessment). A total of 23 articles were considered appropriate to include

within the review. Information detailing all studies is presented in Tables 2.1 to

2.5. An overview of study identification and selection is presented within

Figure 2.1.

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Figure 2.1: Identification and Selection of Publications Flowchart

Iden

tific

atio

n

Studies identified

Searched via EBSCO, PsycARTICLES, Medline/PubMed, SPORTDiscus, EMBASE, Web of Science, CENTRAL (Cochrane Central Register of

Controlled Trials)

Studies retrieved from manual searches of

reference lists

n=6

Scre

enin

g

Number of studies after duplicates/multiple papers removed

n=32,555

Elig

ibili

ty

Incl

uded

Studies included the review

n=18

n = 4 (Randomized control trial)

n = 3 (Non-RCT intervention studies)

n = 2 (Cross sectional studies)

n = 9 (Qualitative exploratory studies)

Studies identified post review

n=5

n = 2 (Randomized control trial)

n = 2 (Non-RCT intervention studies)

n = 1 (Qualitative exploratory studies)

Studies excluded on title and/or abstract

n=32,499

Key reasons for exclusion:

Concerned broad occupational issues

Team sport out of context

Centered around physical activity

Term misuse

Concerned youth/adolescence sport

Concerned active travel

Classroom based - sports education

Centered around philosophical issues

Studies eligible for screening against inclusion/exclusion

criteria

n=56

Studies excluded from review

n=38

Did not focus directly on workplace team sport (n=22)

Comparisons between work and sport (n=7)

Were reviews (n=9)

Studies screened on title and/or

abstract

n=32,555

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Chapter 2: Study 1 -The Benefits of Team Sport for the Workplace: A Review

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Each study was categorised as well as being examined for quality.

Quality assessment of the methodologies used in each study was achieved by

using their respective guiding methodological frameworks. RCT’s, intervention

studies without control groups, prospective cohort studies and cross-sectional

studies were assessed in accordance with Cochrane Collaboration guidelines

and appraised using the Effective Public Health Practise Project Tool

(EPHPPT) (Armijo-Olivo et al., 2012). Qualitative studies were assessed by

the guidelines outlined by Garside (2014), Carroll and Booth (2014).

In total, 11 studies were identified as intervention studies (RCT or non-

randomized control trials) conducted with white collar workers. Sample sizes

of studies with an intervention design were broad (n=30 to 2118 participants),

and participants were recruited from a range of industries. Studies rated as

strong (Barene et al., 2013, 2014a, 2014b, 2016) reported a number of

significant improvements in cardiorespiratory employee health only. These

included significant improvements over the short- (i.e., 12-weeks) and long-

term (40-weeks) in cardiorespiratory fitness (i.e., VO2 Max, exercise heart

rate, blood plasma levels), musculoskeletal function (i.e., improved bone

mineral content and flexibility, and decreased neck-shoulder and lower back

pain and perceived exertion), body composition (i.e., reduced total body fat

mass and percentage and lower limb mass/percentage).

Improvements in subjective perceptions of health, PA behaviour and

psychological wellbeing were also reported in studies rated as strong and

medium methodological quality (e.g., improved flow, reduced stress and

anxiety) (Barene et al., 2013, 2014a, 2014b, 2016; Elbe et al., 2016;

Negulescu & Oicâ, 2016; Roessler & Bredah, 2006; Scherrer et al., 2010;

Soroush et al., 2013; Thøgersen-Ntoumani et al., 2014; Uttley & Lovelace,

2016). All of the intervention studies were rated a strong to moderate (i.e.,

random selection, low attrition, blinding, confounders controlled). However,

few intervention studies have been conducted, and in many cases these

report from largely homogenous female samples (>70%). Therefore, further

empirical research is required to explore the efficacy of workplace team sport

on these outcomes.

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Table 2.1: Randomized Control Trials and Interventions

Study and (Quality Appraisal)

Location and Design

Intervention Description

Workplace Setting

Participant Demographics

Outcome Measures

Method of Analysis

Results

Barene et al. [2013, 2014a, 2014b] (Strong)

Norway; Intervention vs. control group (40-week)

Indoor soccer intramural standard, lasting 1 hour twice a week, outside of working hours.

Hospital 118 (107 females/11 males), age: 45.3, average weight: 70.6kg, BMI: 25.3, Physical fitness not discussed, largely nurses, assistants, physiotherapists, occupational therapists and managers.

Objective measures of blood pressure, cardiorespiratory fitness, blood sampling, heart rate, body fat, self-report measures on perceived exertion and participation.

Repeated measures ANCOVA

Individual outcomes: Significant improvements demonstrated in intervention group compared to control group in cardiorespiratory fitness, heart rate, blood plasma levels, lower limb mass, total body fat and lower limb fat percentage and neck-shoulder muscle pain.

Reproduced from Brinkley et al. (2017a)

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Table 2.1: continued. Randomized control trials and intervention

Study and (Quality Appraisal)

Location and Design

Intervention Description

Workplace Setting

Participant Demographics

Outcome Measures

Method of Analysis

Results

Roessler & Bredah [2006] (Moderate)

Denmark, Intervention vs. control

Non-competitive physical activity and competitive inter-employee mixed sport (played for 6-weeks for 1 hour sessions during working hours)

Factory 30 employees (24 women), Intervention group mean age 43, control group mean age 39. Job roles or further demographics not provided

Cardiorespiratory fitness (objective measure) Qualitative interviews to explore impact of intervention on work relations

T-tests; narrative analysis

Individual outcomes: An improvement in cardiorespiratory fitness and positive attitudes to physical activity and a reduction in pain compared to a control group. Qualitative interviews with participants found perceptions of closer working relation in the workplace as a result of team sport.

Reproduced from Brinkley et al. (2017a)

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Table 2.2: Non-RCT Intervention Studies (No Control Group)

Study and (Quality Appraisal)

Location and Design

Intervention Description

Workplace Setting

Participant Demographics

Outcome Measures

Method of Analysis

Results

Thøgersen-Ntoumani et al. [2014] (Moderate)

UK, feasibility trial– 16-week intervention.

Three workplace walking groups, non-competitive, (1st ten weeks group led, 2 self-lead, 2nd six weeks all self-lead)

University

75 (92% female) employees, mean age 47.68, who were physically inactive (i.e., under 150mins exercise per week) non-academic employees in desk based roles (e.g., support staff).

Self-report (questionnaire) health, vitality, work performance.

Multilevel modelling

Individual outcomes: Increased perceptions of health, subjective vitality. Decreases in fatigue at work. Changes were sustained four months after the end of the intervention. No changes were identified for enthusiasm, nervousness and relaxation at work. No group benefits reported. Organisational outcomes: Improved self-report work performance.

Reproduced from Brinkley et al. (2017a)

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Table 2.2 continued: Non-RCT intervention studies (no control group)

Study and (Quality Appraisal)

Location and Design

Intervention Description

Workplace Setting

Participant Demographics

Outcome Measures

Method of Analysis

Results

Soroush et al. [2013] (Moderate)

Sweden and USA, pre-and post-intervention comparison

Team based walking intervention, with step distance competition (over 10000 per day)

University

2118 employees (80% female); mean age 42.4, and 355 graduate-students selected for fitness testing.

Pedometer, anthropometric measures (e.g., height, weight), resting BP, cardiorespiratory fitness, physical activity questionnaire

Repeated measures ANOVA

Individual outcomes: Steps/day decreased to month 6. Significant improvements were observed in Blood pressure and cardiorespiratory fitness. Group and organisational outcomes not assessed

Scherrer et al. [2010] (Weak)

Australia, Pre, mid and post intervention diary study only

GCC workplace walking competition. greatest number of steps achieved

One company (not described)

56 participants. No demographic data provided

Self-report diary study

Content analysis

Individual outcomes: Increase in physical activity, health and well-being. Group: improved social interactions

Reproduced from Brinkley et al. (2017a)

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Table 2.3: Cross-Sectional Studies

Study and Quality Appraisal

Location and Design

Study Description

Workplace Setting

Participant Demographics

Data Collection Measures

Method of Analysis

Results

Davey et al. [2009] (Moderate)

New Zealand, Cross sectional

Evaluation of Step It Up Challenge (SIUC)

University 123 employees who participated in the 2007 SIUC, 75% female, large percentage under 45 years of age

Online Survey (motivation to participate, importance of SIUC, physical activity levels)

Factor, cluster and multiple regression analysis

Group outcomes: Team support, teamwork, social gains and competition improved

Individual outcomes: fitness, health, well-being, enjoyment, maintenance, participation improved

Organisational outcomes not measured

Hartenian [2003] (Moderate)

Unknown, Cross Sectional

Exploring team members acquisition of team knowledge, skills and abilities

One company (not described)

59 took part, no further demographics provided

Questionnaire - communication, conflict resolution, goal setting, team skills, planning, training, experience and participation in team sports

Multiple regression

Group outcomes: No correlation was found between playing team sports and the possession of team skills.

Individual and organisational outcomes not measured

Reproduced from Brinkley et al. (2017a)

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Table 2.4: Qualitative Studies

Study and Quality Appraisal

Location and Design

Study Description

Workplace Setting

Participant Demographics

Data Collection Methods

Method of Analysis

Results

Joubert et al. [2010a, 2011, 2013, 2014b] (strong)

Joubert et al. [2012] (moderate)

Joubert et al. [2010b, 2014a] (weak)

South Africa, Qualitative exploratory design

Exploring employee’s experiences of workplace team sport. Designing an organisational team sport measure

Financial Corporation

72 employees. 11 to 49 males, 23 females from 9 financial corporations Largely Afrikaans speaking, broad range of job roles and departments.

Semi-structured focus groups and individual interviews

Content/Thematic analysis/Factor analysis

Individual outcomes: health improved.

Group outcomes: Improved; peer knowledge, communication, relationships, trust, respect, goal sharing/striving, commitment, supporting others, shared knowledge. Hierarchical barriers removed

Organisational outcomes: Improved; service, feeling of value, work performance

Other findings: Successful Implementation; top-tier management involvement, funding important

Reproduced from Brinkley et al. (2017a)

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Table 2.4 continued: Qualitative Studies

Study and Quality Appraisal

Location and Design

Study Description

Workplace Setting

Participant Demographics

Data Collection Methods

Method of Analysis

Results

Verdonk, Seesing & Rijk [2010] (strong)

Netherlands, Qualitative exploratory design

Exploring health beliefs and workplace physical activities

Business from a range of sectors. No specifics given

13 males, mean age 39.

Semi-structured individual interviews

Thematic analysis

Individual outcomes: Allows high achievement, displays of competence, and a chance to compete. Enjoyment, while improving health and well-being

Pichot, Pierre & Burlot [2009] (strong)

France, Qualitative exploratory design (individual interviews and ethnography)

How are management practices in companies effected through sport

Manufacturing and financial corporations

14 'decision makers' - HR directors, executives, CEO’s. No further demographics given

Individual interviews and ethnography

Thematic analysis

Group outcomes: Improved; communication, relationships, peer knowledge, cohesion. Hierarchical barriers removed.

Individual outcomes: Stress relief, motivation improved

Organisational outcomes: stimulation at work and performance. Other findings: Watching sport a positive - sharing a good time, improves relationships, sense of belonging

Reproduced from Brinkley et al. (2017a)

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Table 2.5: Studies Retrieved Post-Publication

Study and Quality Appraisal

Location and Design

Study Description

Workplace Setting

Participant Demographics

Data Collection Methods

Method of Analysis

Results

Barene, Holterman, Oseland, Brekke & Krustrup [2016] (strong)

Norway; Intervention vs. control group (40-week)

Indoor soccer intramural standard, lasting 1 hour twice a week, outside of working hours.

Hospital 118 (107 females/11 males), age: 45.3, average weight: 70.6kg, BMI: 25.3, Physical fitness not discussed, hospital staff.

Objective measures of lean mass, maximal isometric force, maximal jump height, sit-and-reach flexibility, and balance.

Repeated measures ANCOVA

Individual outcomes: Significant improvements demonstrated in intervention group compared to control group in neck extension strength and sit-and-reach flexibility

Elbe, Barene, Strahler, Krustrup & Holtermann [2016] (moderate)

Norway; Intervention (soccer) vs. intervention (zumba). No control group. (12-week)

Indoor soccer intramural standard vs. Zumba, lasting 1 hour average twice a week, outside of working hours.

Hospital 79 (65 complete study measures at all-time points) females. As reported in Barene et al., (2013).

Self-reported measure of ‘psychological flow’. Objective measures of cardiorespiratory fitness

Repeated and univariate measures ANOVAs

Soccer group characterized as having medium flow. Flow linked with participation in regular physical activity post intervention. Flow states may improve wellbeing, work-engagement and health behavior.

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Table continued 2.5: Studies retrieved post-publication

Study and Quality Appraisal

Location and Design

Study Description

Workplace Setting

Participant Demographics

Data Collection Methods

Method of Analysis

Results

Uttley & Lovelance [2016] (Moderate)

UK; Cycle Challenge programme evaluation (2-year follow up)

Cycle Challenge. Departmental competition to achieve the highest volume of participation.

University 488 participants. No demographics provided, other than cycling behaviour pre-programme.

Online survey. Cycling behaviour.

Descriptive statistics, Mann-Whitney U-test.

Individual outcomes: Cycling behaviour positively influenced post challenge (47% of participants encouraged to cycle more).

Negulescu & Oicâ [2009] (Weak)

Non-randomized intervention (no control group); Intervention pre-post 8-months. Romania.

78 ‘practical sessions’. Included soccer, handball and volleyball

Military (barracks)

46 participants. All male, differing specializations and ages. No further demographics provided.

Unclear. Self-report questionnaire data from PF16B and Hardiness test reported.

Dependent bilateral t-test (data not reported)

Individual outcomes: Significant improvement in intelligence emotional stability and self-confidence over time. Anxiety and internal tension significantly reduced over time.

Evans, Carter, Middleton & Bishop [2016] (Strong)

United Kingdom, Qualitative exploratory design

Exploring a regional Workplace Challenge programme through a figuration framework

One private sector and one public sector organisation

17 participants (15 participation engaging in programme, 2 workplace champions). Age(participants): 40.8.

Semi-structured individual interviews

Thematic analysis

Individual outcomes: Participation in the Workplace Challenge may influence the physical activity behaviour of individuals and groups within the workplace.

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Evidence from cross-sectional and qualitative studies suggests that

workplace team sport may have additional benefits for the workplace and

employers than adopting modes of workplace PA alone. Participation in team

sport was found to positively influence perceptions of group and

organisational communication, cohesion, interpersonal relationships, team

trust and team performance (Joubert et al., 2010a, 2010b, 2011, 2012, 2013,

2014a, 2014b; Pichot et al., 2009; Roessler & Bredah, 2006; Verdonk et al.,

2010). However, these studies mostly rely on the use of qualitative methods

(e.g., interviews and focus groups) to explore social group outcomes.

Moreover, in some cases (e.g., Joubert et al., 2010b, 2012, 2014a) the

methods of data collection were not described to an acceptable degree to

ensure trustworthiness. Likewise, the reflexive position of the research was

not discussed in sufficient detail and in some cases, data was presented in a

quantitative form rather than in rich contextual detail. To date, no studies have

investigated these outcomes using experimental designs. Future research is

required to explore these outcomes with heterogeneous samples with an

acceptable level of trustworthiness and reflexivity.

Social cohesion, interpersonal relationships and communication are

key determinates of optimally functioning organisations (Almost et al., 2015;

Cannon-Bowers & Bowers, 2006; Hartenian, 2003; Katz, 2001). Team

productivity is a dynamic process influenced by social factors such as shared

goal identification (i.e., is the task achievable), member construction (e.g.,

personality, attitudes, behaviours, skills and experience), the degree of

interdependence, the presence of stress or conflict and team norms (Salas et

al., 1992, 2008). Team building activities in external settings (e.g., away days)

has been associated with improved and maintained cohesion, interpersonal

relationships, communication and teamwork (Salas et al., 1992, 2008).

Therefore, participation in workplace team sport may provide an environment

where employees can simulate and develop social group factors contributing

to productivity. Previous research exploring these outcomes (e.g., Joubert et

al., 2010a, 2010b, 2011, 2012, 2014a, 2014b) has relied on inadequately

described homogenous samples. Likewise, it remains unclear if a degree of

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participant overlap exists in many of the qualitative studies exploring

workplace team sport.

Increased PA levels have been associated with lower sickness

absence and higher job satisfaction and job performance (Amlani & Munir,

2014; Faragher et al., 2005; Voit et al., 2001). Improvements in flow (i.e., the

psychological state of being immersed, motivated and engaged in an activity)

found by Elbe et al. (2016) following participation in workplace soccer may

improve global wellbeing (Bryce & Haworth, 2002) and work-engagement

(Salanova, Bakker & Llorens, 2006). As group and organisational outcomes

were sparsely investigated in the intervention studies (i.e., RCT or non-RCTs),

further research is required to provide additional evidence on the efficacy of

workplace team sport.

A small number of team sports were identified across the studies

implemented either by the researchers (i.e., intervention studies) or by the

organisation (i.e., in the cross-sectional and qualitative studies). The most

frequently used team sport was soccer followed by competitive activity

challenges (containing elements of team sport), team walking, and

competitive forms of running and active transport. These were introduced on

an either competitive or non-competitive basis. However, no studies to date

have investigated a range of sport observed within applied settings such as

Workplace Challenge, Corporate Challenge or Sportivate (see Adams et al.,

2016). While intensity has been investigated (see Barene et al., 2013, 2014a,

2014b), few studies outlined the duration of the workplace initiative, frequency

and length of play and the level the team sport was implemented (e.g., novice,

intensity). Likewise, few of the intervention studies reviewed here, used

behaviour change theory to underpin the implementation of their interventions.

These shortcomings need to be addressed and reported clearly in future

studies.

Medical Research Council (MRC) guidelines and evidence suggests

interventions guided by behaviour change strategies are more effective and

replicable than those without (Craig et al., 2008; Glanz et al., 2008; Webb, et

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al., 2016). Motivation can improve participation in interventions and contribute

to long-term behaviour changes (Biddle & Foster, 2011; Conn et al., 2009;

Marshall, 2004). The quality of motivation is thought to drive the behaviour of

individuals (Deci & Ryan, 2000a, 2000b). Therefore, behaviour change

strategies should be underpinned by theories incorporating the social and

psychological beliefs, attitudes and norms of why individuals change (Glanz,

Rimer & Viswanath, 2008; Webb, Foster & Poulter, 2016). The central theory

interpreting and underpinning this thesis is self-determination theory (SDT)

(Deci & Ryan, 2000a; 2000b). Conceptualisations of social support (see

Schaefer, Coyne & Lazarus, 1981) and an ecological model of workplace

team sport participation (Sallis, Owen & Fisher, 2008) are also utilised. These

concepts are discussed in Chapter 3.

Workplace physical activity, motivation and behaviour change

Previous research using team to improve health within a workplace

setting has neglected the use of behaviour change theory (Brinkley et al.,

2017a). However, motivation and behaviour change theory is widely adopted

within the applied promotion of workplace PA (Biddle & Foster, 2011;

Gucciardi & Jackson, 2015; Hagger & Chatzisarantis, 2009; Malik et al., 2014;

Michie, van Stralen & West, 2011; Sallis et al., 2008).

Motivation can be considered how an individual is moved to do

something (Deci & Ryan, 2000a, 2000b). Motivation is influenced by both

contextual factors and individual differences; therefore, it remains important

understand why and how individuals change and maintain their behaviour

(e.g., physical activity participation) within subjective settings such as the

workplace (Deci & Ryan, 2000a, 2000b). Many theories have been tested with

empirical research (Biddle & Foster, 2011). These include the theory of

planned behaviour (Ajzen, 1992) and the transtheoretical model of behaviour

change (Prochaska & DiClemente, 1982), and SDT (Deci & Ryan, 2000a,

2000b).

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Theory of planned behaviour (Ajzen, 1992) suggests intention to

change behaviour is predicted by attitudes (i.e., affective beliefs regarding

activity), normative beliefs (i.e., perceptions of attitudes of others) and

perceptions of behavioural control (i.e., control and power of behaviour) (Ajze,

1992). The transtheoretical model likewise focuses on the intention to change

(Biddle & Foster, 2011). However, the model suggests individuals move

through five distinct stages (precontemplation; contemplation; preparation;

action; maintenance) from no intention to change to a degree of maintainable

change (i.e., 6-months regular participation) by using cognitive and

behavioural change strategies (see Prochaska & DiClemente, 1982 for an

overview). Whilst, widely used within PA and health interventions, the

strategies encouraging progression through stages which neglect the social

context influencing behaviour and focus on controlled motivation. A low-

quality form of motivation associated with non-maintainable changes in

behaviour (Teixeira et al., 2012).

Whilst well utilised in a PA and health promotion setting (see Biddle &

Foster, 2011), critically the concepts such as planned behaviour (Ajzen, 1992)

and the transtheoretical model (Prochaska & DiClemente, 1982) examine the

intention to be physically activity rather explaining the quality of motivation

underpinning this behaviour. In contrast, SDT focuses on the quality of an

individual’s motivational regulation towards a given activity (e.g., team sport)

(Teixeira et al., 2012).

Moreover, though tested within a workplace PA context, limited

research has utilised the theory of planned behaviour (Ajzen, 1992),

transtheoretical model (Prochaska & DiClemente, 1982) and COM-B system

(Michie et al., 2011) to unpin the design of sports intervention in adult settings

(e.g., the workplace). In contrast, SDT and more specifically, needs

supportive intervention have been demonstrated to be effective and feasible

methods to encourage the adoption and maintenance of high quality

motivation (Teixeira et al., 2012).

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Self-determination theory and behaviour change SDT is constructed from six sub-theories (also termed mini-theories

within literature) (Deci & Ryan, 1985). Namely, (1) cognitive evaluation theory,

(2) organismic integration theory, (3) causality orientations theory, (4) goal

contents theory, (5) relationships motivation theory and (6) basic needs theory

(BNT) (Deci & Ryan, 1985). The latter forms the central sub-theory of this

thesis. Self-determination theorists (e.g., Deci & Ryan, 2000a; 2000b) state

that individuals take part in activities across an internally or externally

regulated spectrum of behaviour and motivation. Fundamental to SDT is the

distinction between amotivation (i.e., no motivation or willingness to

participate), controlled motivation (i.e., participation from external pressures)

and autonomous motivation (i.e., participation from free will) (see Figure 1.3

for an illustration of SDT) (Deci & Ryan, 2000a, 2000b).

Unique to SDT is the distinction between motivational regulations for

an activity (e.g., team sport) (Deci & Ryan, 1985). This regulation spectrum is

constructed from amotivation, two controlled forms of motivation (i.e.,

introjected regulation and external regulation) and three autonomous forms of

motivational regulation (i.e., intrinsic motivation, integrated regulation and

identified regulation) (Deci & Ryan, 1985).

An individual regulated by amotivation has no extrinsic or intrinsic

motivation (Teixeira et al., 2012). Evidence has suggested individuals with

amotivation typically report an activity as not fitting with their beliefs or

attitudes (e.g., ‘it will do more harm than good’) (Deci & Ryan, 2000a). An

individual motivated by external regulation may for example participate in an

activity for external reasons (e.g., to please a superior, manager or significant

other) (Teixeira et al., 2012). Introjected regulation motivates individuals

through beliefs of guilt and ego driven reasons (Teixeira et al., 2012). An

individual motivated through introjected regulation may feel they are letting

their colleagues down if they do not participate. The first form of autonomous

motivation is identified regulation. An individual motivated through identified

regulation would recognise the benefits of an activity through self-identified

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Chapter 2: Study 1 -The Benefits of Team Sport for the Workplace: A Review

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goals or motivates (e.g., ‘team sport may help me feel less stressed’)

(Teixeira et al., 2012).

The second form of autonomous motivation, integrated regulation

proposes individuals engage with an activity through beliefs of self-identify

and personal values (Teixeira et al., 2012). An individual motivated by the

most extrinsic form of autonomous motivation, in the case of team sport, may

identify as a sports person or align sport with personal values (Teixeira et al.,

2012). The most autonomous form of motivation is intrinsic motivation (Deci &

Ryan, 1985). An individual motivated intrinsically towards an activity has an

inherent interest in participation and seeks enjoyment and pleasure directly

from it (Deci & Ryan, 1985).

Evidence from sport studies with an observational design (e.g., Adie,

Duda & Ntoumanis, 2008; Gucciardi & Jackson, 2015), health-related

intervention design studies (e.g., Fortier, Sweet, O’Sullivan & Williams, 2007)

and workplace intervention studies (e.g., Kinnafick, Thøgersen-Ntoumani,

Duda & Taylor, 2014) suggest that fostering autonomous motivation in

individuals leads to healthy participation in, and adherence to, new

interventions.

In contrast, more controlled forms of motivation predispose inconsistent

participation and adherence to new interventions (Pelletier, Fortier, Vallerand,

& Briére, 2001). Gucciardi and Jackson (2015) and Teixeira et al. (2012)

suggest PA interventions may benefit from the underpinnings of more

autonomous forms of motivation to increase participation and adherence. The

purpose of interventions underpinned by SDT is to move individuals from

controlled forms of motivation to more autonomous forms of motivation

(Teixeira et al., 2012). This thesis therefore utilises BNT a sub-theory of SDT

(Deci & Ryan, 2000a, 2000b).

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Type of

motivation

Amotivation Controlled

Motivation

Autonomous

motivation

Type of

regulation

Nonregulation External Introjected Identified Integrated Intrinsic

“I participate in

workplace team

sport because….

I have nothing

better to do at the

moment”

my employers are

making me, I feel

it’s part of my job”

I can’t let my

colleagues down,

they are all

playing. They

need me”

it will help me

improve my

fitness, help me

feel less stressed,

and get to know

people”

it helps me be

part of the

organisation, I

feel part of the

group because

I’m playing”

I love that feeling

of playing, the

enjoyment

associated with

moving around is

fantastic”

Degree of

autonomy

Non-self-

determined

(controlled

motivation)

Self-determined

(autonomous

motivation)

Figure 2.2: Overview of Self-Determination Theory. Adapted from Deci and Ryan (2000)

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Basic needs theory and participation in team sport BNT proposes the adoption of behaviour and motivation is influenced

by the adoption of the identification, fulfilment and maintenance of innate

basic psychological needs (i.e., autonomy, competence and relatedness)

(Gillet & Rosnet, 2008; Gucciardi & Jackson, 2015; Sheehy & Hodge, 2015).

Autonomy is the degree to which an individual feels in-control of their

environment and the decisions that are made (e.g., choosing to participate in

team sport), while competence represents the need to feel capable or to have

a skill to complete a task or activity (e.g., having the understanding and skill to

execute a pitch in rounders) (Deci & Ryan, 2000a, 2000b). Finally,

relatedness is the need to feel supported, understood and valued by a social

group (e.g., feeling part of the team and supporting peers) (Deci & Ryan,

2000a, 2000b).

A positive experience of team sport is linked to determinants of

autonomous motivation, such as enjoyment, satisfaction and wellbeing

(Reinboth & Duda, 2006). During participation in team sport, an emphasis is

placed upon competence and the perceived attainability of a task (i.e., being

able to complete your role in the team) (Adie et al., 2008). Finally,

participation in team sport is underlined by a social environment and therefore

relatedness; where relationships and social interactions are sought to provide

reasons and volition for participation (Allen, 2006).

Satisfying basic psychological needs fosters physical health and

psychological wellbeing, while thwarting basic psychological needs leads to

determinants of illbeing, such as reduced self-efficacy and self-esteem (Deci

& Ryan, 2000a, 2000b; Gucciardi & Jackson, 2015; Teixeira et al., 2012).

Given wellbeing is a determinant of effective human development and optimal

human functioning; researchers exploring SDT have examined the role the

social environment holds for fulfilment of basic psychological needs (e.g., Adie

et al., 2008; Kinnafick et al., 2014). The fulfilment of basic psychological

needs through externally led autonomy support leads to the adoption of

autonomous behaviours, attitudes and beliefs and therefore improved

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motivation, participation and adherence to a given activity (Gucciardi &

Jackson, 2015). In contrast, thwarting basic needs through significant others

(e.g., coaches, workplace champions, colleagues) predicts low quality

motivation (e.g., controlled motivation), maladaptive outcomes (e.g., low self-

efficacy) and dropout (Teixeira et al., 2012). When applied to workplace

sports promotion, thwarting autonomy may occur when an employee is not

offered choice, control or volition over their participation (e.g., sport chosen by

organisation, forced during break time, compulsory participation) (Adie et al.,

2008; Teixeira et al., 2012). Moreover, competence may be thwarted by

promoting competition over enjoyment, not having the perceived skill to

participate (i.e., no training or instruction) or critique of peers (Bartholomew,

Ntoumanis, Ryan & Thorgersen-Ntoumani, 2011). Finally, relatedness may be

thwarted by a lack of support of colleagues and managers, negative feedback

on participation and an unsupportive workplace culture (Bartholomew et al.,

2011; Teixeira et al., 2012).

Autonomy support and team sport Autonomy (needs) support provides an individual with a meaningful

choice, reason and foundation for participation (Adie et al. 2008; Deci & Ryan,

2000b; Kinnafick et al., 2014). Autonomy support is typically provided by an

individual in a position of authority (e.g., a workplace champion), who

acknowledges the perspective of individuals and minimise the presence of

pressure (Adie et al., 2008; Deci & Ryan, 2000b; Kinnafick et al., 2014).

When applied to workplace team sport, a ‘champion’ organising,

promoting and delivering team sport sessions may provide autonomy support

by encouraging and offering a choice to their peers to decide or adapt the

rules of the sport, impart the benefits of team sport, and not impose their own

perceptions and experiences upon them (Deci & Ryan, 2000a, 2000b).

Evidence has suggested participation is improved because experiences of

autonomy support are associated with extrinsic forms of autonomous

motivation, such as identified and integrated regulation (Deci & Ryan, 2000a,

2000b; Kinnafick et al., 2014).

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The relationship between autonomy support, basic psychological

needs and behaviour is well established in a sport, exercise and workplace

setting (Niven & Markland, 2016; Silva et al., 2008, 2010; Teixeira et al.,

2012). Supporting basic psychological needs is known to be a central

determinant of sports participation and sports continuation (Adie et al., 2008;

Gucciardi & Jackson, 2015). In contrast, thwarting basic psychological needs

is known to predict unstable participation and withdrawal from sports and

exercise (Adie et al., 2008; Niven & Markland, 2016; Silva et al., 2008, 2010;

Teixeira et al., 2012).

Therefore, recent research has indicated the importance of educating

and training ‘leaders’ (e.g., workplace champions) in strategies that foster

basic psychological needs (Gucciardi & Jackson, 2015). For example, within a

12-week exercise intervention, autonomy supportive counselling was

associated with higher levels of self-reported autonomy mid- and post-

intervention (Fortier, Sweet, O’Sullivan & Williams, 2007). Likewise, Fortier et

al., (2007) report the fulfilment of autonomy led to improvements in the

adoption of self-reported PA post-intervention. A workplace walking

intervention found walking leaders supporting basic psychological needs to

predict positive changes in subjective vitality and PA behaviour (Kinnafick et

al., 2014). Despite this, no research to date has used BNT to underpin a sport

or team sport intervention in the workplace.

Methodological considerations and workplace team sport

Evaluations from grey literature of Workplace Challenge (WPC) (i.e., A

national workplace physical activity schemes promoted by regional sports

partnerships, which uses post-work ‘team sport’ events and competitions)

indicates that workplaces adopting the WPC may observe increased PA

behaviour, wellbeing and interpersonal relationships between colleagues, and

reduced absenteeism and presenteeism (Adams et al., 2016; Carter et al.,

2014). These evaluations used mixed-methods, observational questionnaires

and case studies to explore the efficacy and feasibility of WPC. Similarly, an

early study and qualitative evaluation in the USA found participation in a

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variety of workplace team sports to positively influence interpersonal

relationships, networking and team productivity (Lee, 1991). These

evaluations whilst useful, lacked robust study designs, control groups and

objective measures of health, and therefore are limited in the cause and effect

they can infer on the efficacy of workplace team sport on individual, social

group and organisational health outcomes. However, despite the

shortcomings of their methodology, these studies do identify positive

relationships worthy of further investigation. For example, it would be useful to

empirically examine the impact workplace team sport holds on group

outcomes such as social interactions and teamwork given their association

with organisational outcomes such as productivity and work-engagement.

The quality of the studies reviewed was mixed. The selection bias,

attrition, blinding process and controlling of confounders was reported to an

acceptable degree by most studies with RCT and non-randomized design

(Barene et al., 2013, 2014a, 2014b, 2016; Elbe et al., 2016; Roessler &

Bredah, 2006; Scherrer et al., 2010; Soroush et al., 2013; Thøgersen-

Ntoumani et al., 2014). In contrast, selection bias and poor attrition may have

confounded the findings of Negulescu and Oicâ (2016) and Uttley and

Lovelace (2016). Most of the qualitative research included in this review

lacked the quality associated with trustworthy and reflexive qualitative

research (e.g., methods of data collected, reflexivity, analysis, contextual

information, sampling) (Joubert et al., 2010a, 2010b, 2011, 2012, 2013,

2014a, 2014b).

Whilst many intervention studies used validated measures of individual

health (e.g., Barene et al., 2013, 2014a, 2014b, 2016; Elbe et al., 2016;

Roessler & Bredah, 2006; Scherrer et al., 2010; Soroush et al., 2013;

Thøgersen-Ntoumani et al., 2014), this review found a lack of validated

measures of social cohesion and interpersonal relationships, work

performance, and job satisfaction, particularly in studies implementing

interventions. Moreover, the results reported in this review were based on

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samples with a high percentage of female participants (>70%) and therefore a

balance of gender is also required in future studies.

Whilst workplace team sport may have the capacity to influence

individual, social group and organisational health outcomes, the evidence

supporting these claims lacks the use of validated measures, accurate

descriptions of the sport played and interventions with strong theoretical

underpinnings. This lack of evidence leads to a lack of support for workplace

team sport schemes and programmes, and employer’s considering

implementing workplace team sport within their organisation. Furthermore,

there is also a lack of evidence exploring how employees negotiate

participation in workplace team sport. Interestingly, there has been a low

number of studies which investigate the efficacy of providing workplace team

sport within the UK using comprehensive intervention designs. Likewise, no

research to date has rigorously evaluated the promotion of workplace team

sport using robust process evaluations. Certainly, these limitations challenge

employers considering offering team sport to their employees and policy

advocating the use of team sport to promote individual, social group and

organisational health. This thesis aims to address these limitations.

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Chapter 3 ‘What are the Facilitators

and Obstacles in Workplace Team

Sport? A Qualitative Study’ (Study 2)

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Study 2

What are the Facilitators and Obstacles to Participation in Workplace Team Sport? A Qualitative Study

Introduction Chapter 2 presented the benefits of workplace team sport for

employees and organisations (see Chapter 2; Brinkley et al., 2017a).

However, despite the potential benefits, the adoption of interventions and

programmes by employees and organisations is low. Critically, there is a lack

of qualitative evidence exploring why employees participate in workplace

team sport, and the facilitators and obstacles these individuals encounter.

While extensive high-quality evidence discussing the enablers and barriers

faced by children and young adults is available in a sporting context, the same

cannot be said for working age adults (Keegan et al., 2016). This gap in

research may limit the effectiveness and sustainability of future team sport

programmes, schemes and interventions. Good evidence suggests prior to

implementing interventions in applied settings such as the workplace, the

contextual psychosocial and organisational factors influencing participation

must be understood and accounted for with behaviour change strategies

(Craig et al., 2008).

Seven qualitative studies have explored the facilitators and obstacles

associated with participation in workplace team sport (Adams et al., 2016;

Caperchione et al., 2015; Carter et al., 2014; Evans et al., 2016; Joubert et

al., 2014b; Keegan et al., 2016; Lee, 1991). For example, Keegan et al (2016)

found that employee low self-perceptions in their competence in PA hindered

them from playing football with their colleagues (Keegan et al., 2016).

Interviews with employees who took part in the ‘Workplace Challenge’ (i.e., a

national workplace health promotion scheme focusing on team sport)

suggests the attitudes of employees and workplace champions can influence

workforce participation in team sport (Adams et al., 2016; Carter et al., 2014;

Evans et al., 2016). Likewise, a study of workplace wellness schemes (some

of which contained workplace team sports) suggests participation was

influenced by the culture within the workplace (Caperchione et al., 2015).

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Finally, the management and communication of opportunities may create

acceptance within peer-groups (Lee, 1991), and result in the provision of

sports facilities and appointment of sports coordinators (Joubert et al., 2014b).

A further RCT study has indicated flow states (i.e., intrinsic immersion in an

activity) may have a positive influence on attendance over time (Elbe et al.,

2016). While this evidence offers some insight, these studies present a gap in

research as they broadly investigated participation in workplace PA rather

than team sport directly.

For the promotion of workplace team sport to be successful, the

specific obstacles and facilitators must be considered. A comprehensive

understanding of these factors may allow researchers and practitioners to

successfully tailor team sport into a workplace setting. The primary aim of this

exploratory study was therefore to gain an understanding on what

determinants facilitate and challenge participation in workplace team sport.

The purpose of this study was to inform what behaviour change strategies

would be needed to support employees participating in a workplace team

sports intervention. Previous research has suggested interventions

underpinned by behaviour change theory and strategies are more effective

than those without (Craig et al., 2008; Glanz et al., 2008; Webb, et al., 2016).

This study was published in February 2017 (Brinkley et al., 2017b).

An ecological perspective PA behaviour in activities such as workplace team sport can be

understood through an ecological approach (Sallis et al., 2008). An ecological

approach suggests the behaviour underpinning participation is influenced by

intrapersonal, interpersonal, organisational, environmental and societal

determinants (Sallis et al., 2008). Intrapersonal determinants reflect how

psychological and biological factors enable or challenge behaviour (McLeroy,

Bibeau, Steckler, 1988). A psychological influence may be perceptions of

competence, while a biological influence may be a chronic health condition

(Golden & Earp, 2012). Interpersonal determinants refer to socially desirable

factors. For example, employees are known to seek the support of colleagues

or conform to the attitudes of managers (Keegan et al., 2016). Organisational

determinants are influences on a workplace, departmental or cultural level

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(Sallis et al., 2008). For example, individual behaviour may be influenced by

the working practises of an organisation (Bennie, Salmon & Crawford, 2010).

Environmental determinants reflect logistics and structural factors that

influence behaviour. For example, facilities may encourage or discourage

participation in workplace team sport (Carter et al., 2014; Evans et al., 2016).

Societal determinants refer to how policy and society driven attitudes (e.g.,

gender inequality) influence individual behaviour and experiences and

perceptions of sport (Sallis et al., 2008). Participation in workplace team sport

is a complex process that may be influenced from a societal, organisational,

social and psychological standpoint (Adams et al., 2016; Caperchione et al.,

2015; Carter et al., 2014; Evans et al., 2016; Joubert et al., 2014b; Keegan et

al., 2016; Lee, 1991). This study adopted an ecological approach to

understand the facilitators and obstacles reported by participants (Sallis et al.,

2008).

To assist the interpretation of this ecological approach, the current

study uses theories and concepts which focus upon the social environments

influence on motivation and behaviour. These include SDT (Deci & Ryan,

2000a, 2000b) and a conceptualisation of social support (Schaefer et al.,

1981). SDT proposes that supporting innate needs for autonomy, competence

and relatedness can promote wellbeing and regulate autonomous motivation,

while thwarting needs leads to illbeing and controlled forms of motivation

(Deci & Ryan, 2000a, 2000b). Schafer et al. (1981) suggests an individual’s

wellbeing and self-efficacy for an activity (e.g., team sport) is regulated by

emotional, esteem, network, information and tangible support.

Methods

Research Design An exploratory design, using semi-structured face-to-face and

telephone interviews, explored what facilitates participation and what creates

obstacles for participation in workplace team sport (Alvesson & Ashcraft,

2012). The trustworthiness of face-to-face interviews is well established

(Alvesson & Ashcraft, 2012), while telephone interviews allow the researcher

to collect data around the demands balanced by participants (Hanna, 2012).

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To allow participants the opportunity confidentially disclose information about

their workplace, colleagues and employer interviews were selected over focus

groups (Alvesson & Ashcraft, 2012; Sparkes & Smith, 2014). Ethical approval

was granted from Loughborough University’s Human Participants sub-

committee (see proposal number SSEHS-1771).

Sampling Purposive sampling (see Patton, 2002) was used to recruit employees

participating and not participating in workplace team sport (Patton, 2002).

Participants were recruited from a range of small, medium and large private

and public organisations in the UK (i.e., manufacturing and sales; public

services; and educational services). Organisations were identified through the

FTSE 100 and 500 lists and through their involvement in workplace team

sport events, schemes or programmes (e.g., lunchtime and post-work soccer,

WPC, Last Man Stands). A representative from the organisation’s

occupational health section was contacted by email and/or telephone by the

researcher to explain the purpose of the study. Employees were recruited by

the researcher through email and telephone. Participants received information

detailing the study and its purpose. Participants were invited to attend an

interview at their place of work, or where they participated in workplace team

sport. To collect trustworthy and translatable data, employees actively

participating in team sport and those not currently participating in workplace

team sport were selected. Employees who were not permanently contracted

members of staff (e.g., agency staff) were excluded from participation. To

ensure a variety of experiences regarding workplace team sport was explored

in the interviews; employees, line managers and workplace champions were

sent an invite to participate in the study from each organisation. Participants

were recruited from one public services, one high education institute and two

manufacturing organisations in the UK.

Procedure An interview schedule guided data collection (see Table 3.1). This

explored, (i) PA participation; (ii) workplace PA and team sport motivation; (iii)

workplace team sport participation; (iv) workplace team sport facilitators and

obstacles; and (v) the set-up, maintenance and adherence to workplace team

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sport. From January to August 2015, twenty-four face-to-face individual

interviews and five telephone interviews were conducted during working hours

in café’s, offices, meeting spaces and conference rooms by two of the

researchers trained in interview techniques1. With the knowledge and consent

of participants, interviews were recorded on a digital voice recorder (Olympus

VN-7700). Open-ended questions were asked to encourage discourse while

probes were used to encourage participants to expand on interesting

responses. Interviews lasted between 30 and 50 minutes (M=36 minutes).

1 Both researchers had experiences within an organisational setting. AB had previously

managed within the retail industry, while JF undertook a placement in a HR department

within the manufacturing industry. AB is white British male aged 26, while JF is a white

British female aged 22. By virtue of a lack of experience, both considered themselves

naïve to the experiences faced throughout full-time employment and the impact of

participating in workplace team sport.

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Table 3.1: Interview Schedule - Study 2 Content Topics for discussion

Physical Activity Participation Do you currently take part in physical activity? (Sport; exercise; occupational). How often do you take part? (Regularly, occasionally)

Where do you take part? (Inside or outside work?) (With or without colleagues?)

Perceptions of physical activity. (Do you do enough?)

Physical Activity and Workplace Team

Sport Motivation and Benefits

What do you enjoy about physical activity?

What motivates you to take part (facilitators) in physical activity/workplace team sport?

What restricts your involvement (obstacles) physical activity/workplace team sport?

How does physical activity benefit you?

How does physical activity/workplace team sport benefit your working life?

What can your company gain from having physically activity employees?

Workplace Team Sport Participation Do you take part in workplace team sport?

What are your thoughts on workplace team sport?

Better or worse than physical activity? (prefer physical activity on your own?)

Would you want to participate with your colleagues?

Workplace Team Sport Benefits What benefits does or could workplace team sport hold for you (individual), your team (group) and workplace (organisation)?

Workplace Team Sport Facilitators and

Obstacles

What would motivate you to attend? (facilitators)What would stop you attending? (obstacles)

Do you think there would be any workplace enablers or barriers associated with workplace team sport? (culture; external; environments; facilities; funding; time; resources)

What times would work best?

What sports would you like?

Set-up, Maintenance and Adherence How should workplace team sport be set-up, maintained and managed? (HR; individual; committee)

Closing Statements Overall do you think workplace team sport would hold positive/negative health benefits for the company or a worthwhile venture?

Do you have any further thoughts on the idea or anything else to add?

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Analysis Recorded interviews were transcribed verbatim and a template

analysis was undertaken (Brooks, McCluskey, Turley & King, 2015). An

overview of template analysis is provided in Chapter 2. The initial priori

themes used in the template were based on the ecological model (Sallis et al.,

2008). Themes were grouped into first (e.g., factors that facilitate taking part

in workplace team sport); second (e.g., interpersonal factors influencing

participation in workplace team sport); third (e.g., social approval,

understanding and support); and fourth (e.g., shared experience and group

membership) level themes. All members of the research team gave their

consensus on the data by reviewing the identified themes.

Findings

Participant demographics Twenty-nine employees with a range of job roles took part in this study

(72% in a position of superiority over their colleagues). Additional

demographics are available in Table 3.2. These participants (58% female)

were aged between 22 and 57 (36±7.71), had worked at their organisation

from 2 months to 28 years (6±6.12) and all worked within teams.

All the participants reported being in a good state of health and

participated in PA in their leisure time or workplace (e.g., soccer, exercise

classes, yoga). All the participants in this study worked in office based roles.

Team sport participation Fifty five percent of the sample participated in team sports in their

workplace. These workplace team sports can be categorised as office-based

team sports, traditional team sports and individual-team sports. Of these

sixteen employees, six women participated in workplace team sport.

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Table 3.2: Participant Demographics - Study 2 Organisation

(Industry) Workplace Team Sport organisation and support

Number

of Participants

Gender Age Qualifications Held

Marital Status

Dependents Department Business Size

Job Role Work in a Team/Numbe

rs/In a Position of

Superiority or Management

Contract Type

Tenure (Months- Years)

Manufacturing Cycling and squash

encouraged by the organisation,

but self-organised.

Facilities offsite. Participation

outside of working hours. Information not

provided if activity was

funded or self-funded.

10 6 Females (60%)

27 - 43 (37.1±4.93)

Not Provided Not Provided

Not

Provided

HR (10%), Operations

(10%), Legal (20%), Retail (20%), Group Development/

Communication (10%), Public

Relations (10%), IT

(10%), Admin (10%)

Large Manager (40%),

Coordinator (20%), Solicitor (10%), Head of

Department (20%), Personal Assistant

(10%)

1/ 3 to 23 (M=9)/ 90% in a position of superiority or management

All Full-time

18 Months – 11 Years 6 Months

(5.32±3.5)

Manufacturing 2 Participants self-funded and

organised soccer offsite outside of working hours. Swimming was

funded, organised,

supported and participated in during working

hours at a facility offsite.

7 3 Females (43%)

27 – 57

(37.4±10.17)

Further Education (14%) Degree (43%), Higher Degree (43%)

Single (43%), Married (47%)

Yes (47%)

No (43%)

Retail (14%), IT (14%),

Design (28%), Product

Development (14%),

Ecommerce (14%),

Marketing (14%)

Large Manager (43%), Analyst (14%),

Marketer (29%), Product

Developer (14%)

1 to 6/ 3 to 16 (M=6.4)/ 56% in a position of superiority or management

All Full-time

15 Months – 28 Years (9.6±18.5)

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Table 3.2 continued: Participant demographics – Study 2.

Organisation (Industry)

Workplace Team Sport organisation

and support

Number

of Participants

Gender Age Qualifications Held

Marital Status

Dependents Department Business Size

Job Role Work in a Team/Numbe

rs/In a Position of

Superiority or Management

Contract Type

Tenure (Months- Years)

Public Services

Workplace challenge encouraged by the

organisation, funded externally,

participated in outside of working hours.

Soccer, softball, rock climbing and cycling

self-funded by participants,

participated in outside working hours. Table

tennis provided by organisation, played

during lunch hours. All facilities offsite.

6 3 Females (50%)

22-41

(34±7.58

)

Not Provided Not Provide

d

Not

Provided

Human Resources (16%), Health Promotion (16%),

Development (50%), Corporate Communication

(16%)

Small/ Medium (50%) Large (50%)

Advisor (15%),

Practitioner/Consultant (15%), Manger (40%), Officer (30%)

All work as part of teams/

80% in a position of

superiority or management

All Full-Time

11 Months-12 Years (5.9±4.57)

Education (Higher)

Netball, badminton and squash was self-

funded. Played outside of working hours. Seasonal

sports competitions (e.g., soccer), played during working hours.

Organised in workplace, self-

funded participation. All facilities on site.

6 5 Females (83%)

24-48

years

(35.6±9.6)

Higher Degree (50%), PhD

(50%)

Engaged

(17%), Single (50%), Married (33%)

Yes (50%), No (50%)

Sport, Exercise and Health Science

Large Researcher/consultant (17%),

Researcher (33%), Senior

Lecturer (33%), Project

Manager (17%)

1 to 4/ 2 to 22/ 66% in a

position of superiority or management

All Full-time

2 Months – 16 Years

(4.03±5.97)

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Office-based team sports can be conceptualised as team sports that

take place in an office space or breakout area. These sports were organised

by groups of employees and often the organisation provided equipment to

participate (e.g., a table tennis table). Office-based sports were played during

breaks in the day, and included ‘badminton and table tennis [P14]’. Traditional

team sports such as ‘basketball [P5]’, ‘ultimate frisbee [P1]’, ‘touch-rugby

[P18]’, ‘softball [P19]’, ‘indoor/beach volleyball [P1]’, ‘squash [P2]’, ‘soccer

[P29]’ and ‘rounders [P22]’ were played by participants. These team sports

were encouraged, communicated and promoted by the organisation, however

not directly funded. Therefore, participants passionate about sport often self-

funded and organised these forms of team sport. In the organisations

sampled these team sports took place offsite during lunchtime or after-

working hours. Team sports were played as part of stand-alone workplace

events, tournaments and sports programmes.

Finally, individual-team sports took place in a workplace setting. These

can be defined as individual sports with a competitive team goal such as

‘swimming [P28]’ and ‘cycling [P19]’. The organisation funded and organised

competitions and a programme of events for their employees. Individual-team

sports took place offsite at funded facilities (e.g., local sports centres) during

breaks in the working day or after-working hours.

Participants playing team sport with their colleagues reported the

facilitators and obstacles they encountered (i.e., denoted with TS in

quotations). In contrast, participants not playing team sport (i.e., denoted with

NP in quotations) typically described their barriers to participation. However,

in some cases these participants were considering playing workplace team

sport, and therefore discussed what motivated them to contemplate

participation

Overview of themes The facilitators and obstacles underpinning participation in workplace

team sport are represented by intrapersonal, interpersonal, organisational,

environmental and societal themes (see Table 3.3), as outlined by the

ecological model (Sallis et al., 2008). These themes emerged across the data

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regardless of job role, superiority or the industry they worked within. The

findings representing these themes are presented below.

Intrapersonal Factors Influencing Participation in Workplace Team Sport

Motivated by self-interest Intrinsic factors such as a preference for the type of team sport offered

(e.g., ‘I do it because I like the activity [P1, female health promotion manager

aged 34, TS]’) and feelings of enjoyment (e.g., ‘I like that volleyball is quite

novel, I like that it’s quite fun [P6, female researcher aged 24, TS]) could

autonomously motivate participation in team sport. The satisfaction

participants associated with ‘sport’ appeared to motivate participants to play

workplace team sport from their own free will (e.g., ‘I love most sports to be

honest. My love of sport gets me there [P2: female researcher aged 28, TS]’).

In contrast, having no interest or intrinsic connection with the team

sport offered within the workplace could create amotivation for workplace

team sport and an obstacle to participation:

‘Yeah it’s not going to be enjoyable enough to do purely for the sake of

enjoyment. So, it’s not something I want to do on a regular basis’ [P4:

female, aged 48, NP]

Motivated by external factors External factors such as competition and incentives were frequently

reported to positively influence participation in workplace team sport.

Competitions typically took place between departmental teams, while

incentives were offered to employees who were playing team sport. Rewards

and competition created controlled motivation to participate:

‘There is awards and stuff like that. Again, you make it a little more

competitive to try and get more people involved because there’s got to

be a carrot at the end of it’ [P12: female personal assistant aged 42,

TS].

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Table 3.3: Template Analysis - Study 2 Ecological factors Sub-theme Facilitators (enablers) to team sport (+) Obstacles (barriers) to team sport (-)

Intrapersonal factors Motivated by self-interest + Enjoyment

+ Preference for type of team sport

- Amotivation

- Lack of enjoyment in team sports

Motivated by external sources + Incentives to participate

+ Schemes with rewards

+ Positive competition

- Unhealthy competition

Competence and self-efficacy + High perceptions of competence

+ High self-efficacy

+ Modified rules and adapted sports

+ Novelty of sports

- Low perceptions of competence

- Low perceptions of fitness

- Low self-efficacy

- Low perceptions of body image

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However, obstacles were created for workplace team sport by the

behaviours associated with unhealthy competition, such as aggression,

criticism and ‘banter’:

‘People get very competitive, like you did that wrong. That direct

criticism, I don’t like that’ [P10: female ledger controller aged 34, NP]. Competence and self-efficacy Participants not playing workplace team sport were challenged by their

perceptions of competence in team sport. Low-efficacy was attributed to

diminished perceptions of competence and this created an obstacle to

participation. In some cases, undesirable comparisons with the ability of a

colleague were described to reduce perceptions of competence and diminish

self-efficacy:

‘When you get something like football you start thinking I wonder how

good everybody else is and that just puts a bit more worry about joining

in [P23: female personal assistant aged 42, NP]’.

Furthermore, a fear of social judgements and a challenging experience

of team sport may diminish perceptions of competence, self-efficacy and

create an obstacle for regular participation in team sport:

‘I have never been very confident at competitive sport, which probably

pins down why I feel pressure from others. You don’t want to let your

team members down [P26: female marketing employee aged 28, NP]’.

However, positive perceptions of competence were linked with higher

self-efficacy. It emerged that low perceptions of competence and self-efficacy

could be positively influenced by tailoring the rules of the sport and the style of

play to the employees participating. Frequently, a workplace champion

prompted this change and created a facilitator to participation:

‘So, the workplace champions took the basic rules, rather than some of

the intricacies, which stop the game flowing and they ignored some of

the minor infringements, so it was just the major infringements that got

called up. It made it a more enjoyable game and a more flexible game,

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but it still had the feel of the sport. It made things easier to achieve and

understand. An easy game to play and a more enjoyable game

ultimately’ [P18: male sports development manager aged 41, TS].

Removing the rules and structure traditionally recognisable with team

sports could improve perceptions of competence and self-efficacy. Sports that

were absent from participants were reported to have similar positive influence

on perceptions of competence and self-efficacy:

‘What we found was the sports that no one had played before or the

least amount of people had played before, that had the biggest

enjoyment factor. I think people felt equal going into it. It was new to

everybody, so everyone was one the same starting point. Potentially

team sports which people haven’t experienced at school’ [P18: male

sports development manager aged 41, TS].

Sports that were not regularly played were not associated with the

same diminished perceptions of competence which are perhaps related with

regularly offered team sports. Further, the novelty of these sports may create

more equal perceptions of competence and therefore facilitate participation

within the workplace:

‘With rounders, you get people that you wouldn’t normally pick up doing

something traditionally sporty, say a football match or whatever,

because I think rounders you pick up people because they are like

rounders is not a proper sport, it’s more of a game and they’re like if I

come along and I’m rubbish it doesn’t matter, whereas with football

they think if I come along I’m going to be the worst, and it’s going to be

embarrassing. The advantage of rounders is that it gets people who

might not get involved because of competence reasons’ [P22: male

project manager aged 46, TS].

Body image also challenged some of the female participants in this

study. Body image consciousness and social comparisons may reduce self-

efficacy and create an obstacle to participation:

‘It’s a body image thing. Exercising in a group, it can be quite

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intimidating. Getting sweaty in front of other people. Then it’s a vicious

cycle then because you really want to lose weight’ [P8: female team

coordinator aged 27, NP].

Interpersonal factors influencing participation in workplace team sport

Support from colleagues and managers The attitudes and behaviour of colleagues and managers

provided support for team sport within the workplace. For example,

some participants supported their colleagues through the psychosocial

(e.g., lack of self-efficacy) and organisational (e.g., job demands and

expectations) obstacles associated with participation:

‘People are more comfortable playing with their peers than playing on

their own for the first time. It’s perhaps easier. I think they’re more likely

to be active if their playing alongside people they know like their

colleagues’ [P18: male sports development manager aged 41, TS].

Group involvement, cohesion and relatedness Participation in workplace team sport created social relationships and

friendships within the workplace. The appeal of developing social

relationships and the membership of a social group motivated some

employees to participate in workplace team sport:

‘If I were to play sport for work then that would be for social reasons.

So, I think the main reason you would have like organised team sport

in the workplace would be for the social interaction side of it’ [P15:

male IT support manager aged 38, NP].

The attendance and support of these social groups provided

relatedness and motivated participants to regularly participate:

‘I loved doing it as a team because it encourages you. When we were

finishing here, and it’s been a busy day I would have been tempted to

say, you know what I won’t do it tonight. With the team, it’s like let’s do

this’ [P9: female solicitor aged 34, TS].

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Table 3.3 continued: Template Analysis – Study 2

Ecological factors Sub-theme Facilitators (enablers) to team sport (+) Obstacles (barriers) to team sport (-)

Interpersonal factors Psychosocial support from colleagues

and managers

+ Acceptance and social support

+ Shared experiences and group

membership

- Lack of social support

Group involvement, cohesion and

relatedness

+ Group cohesion

Family, work-life balance and the

influence on perceptions of available

time

+ Functional work-life balance

+ Time, scheduling, work-life

balance and multiple options

- Family, work-life balance and

perceptions of no available time

- Workplace commitments and

demands and the job

- Time of sport not fitting in with

work and lifestyle

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Family, work-life balance and the influence on perceptions of available time

Participants described how balancing family, social and workplace

commitments influenced the time available for participation in workplace team

sport. Prioritising workplace demands and personal commitments above

participation created a lack of motivation for workplace team sport where

participants viewed their participation as extra time at the workplace:

‘If I’m going to spend the time on an activity outside work, I would

rather spend it outside with family or where I am with friends. I am

spending enough time at work already’ [P4: female, aged 48, NP].

Time based obstacles to participation could be addressed when team

sport was managed organisationally through a consistent programme of

events and interpersonally through scheduling of the working day:

‘As long as it’s regularly in the calendar, then people can normally

change their schedules. It’s when it hops between days and times

where I think it becomes hard’ [P5: female academic aged 36, TS].

Participation during the day offered a form of team sport that enabled

most members of staff to attend workplace team sport:

‘So, if it was incorporated into the working day. So, having like inter-

centre competitions and stuff like that. That would be quite good for

everyone’ [P16: female business improvement manager aged 36, NP].

However, participation during the day (e.g., during lunch-hours) was

challenged by social comparisons made with the behaviours of colleagues

and superiors (e.g., working non-stop). For example, maintaining a

professional image and the time taken to return to work created obstacles

such as job stress and a loss of productivity for some participants:

‘The hour for the sport, plus showering and everything thing else

afterward. That’s a barrier for me. I have to make time up for it’ [P5:

female researcher aged 36, TS].

Addressing these obstacles led participants to play team sport with

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their colleagues outside of working hours:

‘We played at the end of the day so earliest we do it is say four o’clock.

So, most people are done, so we’re not getting in the way of work. To

do something that actually becomes quite physical and you’re going to

get sweaty, and then you’re going to need a shower and all of that. You

hopefully get more people because you’re not going to have meetings

and things like that’ [P2: female researcher aged 28, TS].

Although, this challenged participants with childcare commitments.

Frequently the PA behaviour underpinning participation in workplace team

sport could be challenged by the presence of children and associated

responsibilities:

‘Free time went when I had kids. I use to be able to nip off for forty-five

minutes to go to the gym but now it’s kind of finish work get home and

get the kids their tea and play with them for a bit’ [P23: male IT analyst

aged 34, NP].

Organisational factors influencing participation in workplace team sport

Support Frequently, superiors were supportive of participation (e.g., ‘yeah, our

manager is very accepting of us wanting to do it’ [P26: female marketer aged

28, NP]). However, in some cases the attitudes of superiors (e.g., ‘managers,

they end up clock watching [P28, male manager aged 39, TS]’) and the

attitudes of colleagues (e.g., ‘you’re seen as not working by your peers [P5:

female researcher aged 36, TS]’) created obstacles to participation.

The demand employers place upon their workforce may indirectly

influence the adoption of negative attitudes towards workplace team sport.

For example, unsupportive attitudes from higher-tier management can

discourage participation in workplace team sport:

‘Senior management have commented about it not looking particularly

good if people come into the building and there’s people playing table

tennis ‘[P21: female development manager aged 33, TS].

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Table 3.3 continued: Template Analysis – Study 2

Ecological factors Sub-theme Facilitators (enablers) to team sport (+) Obstacles (barriers) to team sport (-)

Organisational factors The level of support for team sport + Support of colleagues, managers

and the organisation

- Lack of support and perception of

not working from colleagues,

managers and the organisation

The organisation and management of

team sport

+ Sharing responsibilities

+ The importance of champions

+ Committees and a shared voice

+ Organisational ownership and

support

+ HR and occupational health

- No clear organisation or

management

- Time burdened and constrained

workplace champions

- Informal organisation and in-

groups

Funding team sport + Organisational funding

+ Willingness to self-fund

- Lack of funding

- The public sector and

accountability

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Managers who understood the benefits sport provided acceptance and

motivation to participate, and support to adhere to these opportunities within

the workplace:

‘If you have got a leader who is fairly active, fairly sporty and kind of

says I want to put this together and I’m going to be there, then more

people will go. As they think, oh the boss is going, I’ll go.’ [P13: male,

aged 42, TS].

Likewise, a duty of care for the health and wellbeing of the workforce

provided support, acceptance, investment and a facilitator for participation in

workplace team sport:

‘You spend all of your time, all your day at work, it’s part of your life

experience. If they want you enjoy being at work and be productive and

stay with the company then they should provide an environment that

encourages that and funding and organising some sort of sports

activity, is one way of creating a nice culture’ [P22: male project

manager aged 46, TS].

Organising and managing team sport Workplace champions, sports committees or the organisation delivered

team sport to employees. A structured method of organisation created an

enabler for participation, while a lack of management, structure and

organisation created obstacles for participants.

An enthusiastic and committed workplace champion motivated

participants to play workplace team sport: ‘I do it because I have a particularly

supportive champion [P1: female health promotion manager aged 34, TS]’.

However, obstacles were created when the demands of employment

challenged a workplace champion’s effectiveness. For example, champions

lacked the time and resources to effectively manage workplace team sport:

‘In reality, I have to do it, I would basically have to turn up every week

and collect the money, make the booking, organise and pick the team,

and I’m not going to do it, I’m not, I don’t want to do that basically, I

don’t want to commit myself. I don’t even live near here, I work across

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the county, I’m not going to be here till eight o’clock, for them to play

football, for me then to drive forty miles back home. Practically it’s not

going to happen. It’s important to have a group of staff members which

are willing to put the effort in to make it work’ [P17: male workplace

health advisor aged 40, NP].

Therefore, the pressure placed on champions could be shared through

a sports committee-based approach:

‘If HR are telling you what’s been chosen, then others might not want to

do that [sport]. But, if representatives are saying that they’ve made a

joint decision across the company of what is going to be run for the

year. They can get ideas from people about what they actually want’

[P8: female team coordinator aged 27, NP].

Sharing the demands of organising and delivering team sport created a

professional approach and a sense of control for the employer. This sense of

control provided investment and support for an effective programme to be

implemented, and therefore acted as a facilitator to participation. In some

cases, this input was delegated within the remit of human resourses:

‘It would have to have someone in HR maybe you’d appoint someone

to be a manager or something. It would need careful running because

otherwise it could very quickly fall apart’ [P14: male head of public

relations aged 40, NP].

Funding A lack of funded opportunities could demotivate participants from

playing workplace team sport. However, it was the public-sector organisations

sampled in this study that are most frequently challenged by financial austerity

and public accountability. For example, participation in an activity outside the

traditional working practises may be perceived negatively by staff facing

redundancy or presented unfavourably within the media:

‘Money is a real challenge, and it’s probably not the same for many

organisations you talk to but also that it’s public money. You’ve got to

have a strong belief to say we’re all going to go off and spend public

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money to play 5-a-side football. This is public money, and if you’re

going to spend £1000 on a sports hall for a year, so staff can go and

play 5-a-side football, that’s £1000 that’s could have been spent on

whatever. So, we do have to be accountable, we were concerned with

what messages this will give out in the media’ [P17: male workplace

health advisor aged 40, NP].

Participation in self-funded informal groups could facilitate participation

when funding was unavailable:

‘So, with football, we pay ourselves. It’s only £4, it’s not a big expense.

We get the balls and equipment. People are comfortable paying for it’

[P24: male technical leader aged 35, TS].

Communication Effective strategies that raised awareness and facilitated participation

included a variety of visual (e.g., notice boards) and digital (e.g., staff intranet;

social media) methods of raising awareness. A frequent communication

method mentioned was virtual spaces (e.g., ‘Yammer’, social media and

digital message boards). These virtual spaces enabled participation due to the

level of flexibility, personal interaction and two-way communication they

offered. In contrast, forms of communication without this two-way

communication were reported to demotivate participation and create

obstacles due to a lack of flexibility and availability offsite. The intranet

presented these obstacles to participation:

‘It’s a one-way portal, so unlike with an email where you can reply to it,

you can’t reply to it on the intranet. We put something out to the entire

workforce. We are just pushing the message out there. There’s no

dialogue, no conversation there, you can’t have a discussion about

something or anything like that, so it doesn’t work well for organising

events. You can get two colleagues sat next to each other reading a

thing about a softball match, and they’ll be no action out of it because

there’s no discussion there’ [P19: male senior corporate

communication manger aged 27, TS].

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Workplace culture The culture within the workplace predisposed the adoption of

workplace team sport. Organisational determinants (i.e., practises; attitudes;

behaviours), social norms (i.e., acceptance; understanding; support) and

beliefs surrounding PA influenced the culture within the workplace.

A culture of acceptance created support, encouragement and a

facilitator for workplace team sport (e.g., ‘You should embrace the company

values of staying healthy and feeling fit’ [P24: male technical leader aged 35,

TS]). Adopting the health promoting beliefs of the organisation led some

participants to play in team sport. Within a positive workplace culture, flexible

working and the notion of ‘quality work over the quantity of work’ was

encouraged.

Furthermore, a culture which encouraged flexible working was

discussed with long-term participation in workplace team sport. Reinforcing

flexible working led participants to perceive they had the freedom to take

breaks during the working day to participate in activities such as team sport:

‘They’re fantastic here, they’re all about flexible working [P23: male IT analyst

aged 34, NP]’. Likewise, with a positive workplace culture, flexible working

was frequently promoted and supported by supervisors:

‘It’s about output, rather than sitting at your desk, you have to manage

people according to their needs [P7: female HR manager aged 35,

TS]’.

A workplace culture encouraging flexible working provided trust,

reinforcement and support for employees to take time out of the working day

to participate in workplace team sport. Further, participants described how it

was their employer’s role to establish such a culture and their superior’s role

to reinforce this culture within the organisation:

‘It comes back to my point of the manager setting the culture of an

organisation. You know if the culture is that people work hard when

they’re at their desks, but they’re allowed to get up from their desks

and you know move about the office and take part in activities’ [P21:

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female development manager aged 33, TS].

Alternatively, the culture within the workplace could create obstacles

for participation in team sport. While, workplace team sport was not

discouraged in any of the organisations sampled, a culture that encouraged

‘working non-stop’ was described:

‘I don’t think that I anticipate that I will likely to be participating. When

I’m at work, I’m there to work. I just get as much done as possible then

I can get home’ [P4: female academic aged 48, NP].

Within this culture, participation in team sport was an additional

recreational activity and therefore outside the remit of the working day.

Moreover, an obstacle was created as finishing work before playing team

sport was frequently reinforced through social norms:

‘There is always that expectation that you do your work first, it is kind of

an unsaid rule here’ [P9: female solicitor aged 34, TS].

Likewise, a workplace culture that encouraged working non-stop was

often reinforced by the attitudes and behaviour of superiors:

‘If your manager turns up at eight and goes home a six, and never has

a break. That’s going to dictate the culture of your team to a degree.

You’ve got a lot of pressure around that’ [P17, male workplace health

advisor aged 40, NP].

Environmental Factors Influencing Participation in Workplace Team Sport

Sporting and changing facilities The availability and quality of sporting and changing facilities either

motivated or demotivated participants from playing workplace team sport. A

lack of facilities within the workplace created a key obstacle for employees

considering participation:

‘It’s actually physically doing it in the building or around the building.

That is ultimately our biggest barrier’ [P17: male workplace health

advisor aged 40, NP].

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Table 3.3 continued: Template Analysis – Study 2

Ecological factors Sub-theme Facilitators (enablers) to team sport (+) Obstacles (barriers) to team sport (-)

Organisational factors Communication of team sport + Tailoring communication style to

the structure of the organisation

+ Modern communication and

social media

- Informal groups and

communication

- Limitations of intranet

- Lack of two-way communication

Workplace culture and team sport + A supportive workplace culture

+ A flexible working culture

- A discouraging workplace culture

- Working non-stop

Environmental factors Sports and changing facilities + Available sports and changing

facilities.

+ Accessible sports facilities

+ Utilizing the natural environment

surrounding the workplace

+ Acceptance for changing time

- Inaccessible facilities

- Health and safety challenges

- Logistical and pragmatic obstacles

- Unavailable facilities

- Poor weather

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Inaccessible facilities (e.g., ‘I’ve got to get over there, I’ve got to do this

and that, it’s too long [P25]’); health and safety protocols (e.g., ‘the mountain

of health and safety requirements, you would have to go through would be a

nightmare [P4]’); and unhygienic facilities created obstacles to participation

(e.g., ‘I know we have gyms, but they’re a bit minging and I know the showers

are crap [P19, TS]’).

In contrast, utilising the accessible green space surrounding the

workplace could overcome challenges with a lack of sporting facilities:

‘Yeah so we’re quite lucky. Where we are based there is a massive

country park with a massive cricket ground there, which we have free

reign over. The rugby club is round the back, we have access to their

fields, there’s a tennis court as well. So, on a summers night you just

step out the back of HQ and you’re there’ [P19: male senior corporate

communication manger aged 27, TS].

However, during the winter months these spaces became an obstacle

to participation:

‘Asking non-sports people to come out in the pouring rain and freezing

cold to go play netball outside is going to be quite unlikely’ [P1: female,

aged 34, TS].

The support of external sporting organisations In some cases, the organisations sampled in this study had a

relationship with an external sporting organisation such as a national

governing body, regional sports partnership or local sports club. These

networks enabled an individual within the workplace to deliver team sport to

their colleagues. Often, financial constraints and a lack of resources led

organisations to seek support from external sporting organisations. External

sporting organisations offer support by proving resources, sports leaders and

education to deliver team sport:

‘So, we worked with four governing bodies that brought someone in to

deliver it on the day. That person was a coach, because we recognised

that not all people would have played the sports before. So, they

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organised it on the night, and delivered a short coaching session

before’ [P18: male sports development manager aged 41, TS].

Societal factors influencing participation in workplace team sport Bias and inequality in sport Historical teaching practices and policy created a negative experience

of physical education’ (PE), a negative attitude towards team sport and

obstacles to participation. The style that PE was delivered reduced

perceptions of competence, self-efficacy and satisfaction with sport:

‘I think an experience of school sports, has put me off sport. At school,

I had asthma, and when I was young when you had asthma you didn’t

do sports or only for a little bit in the summer so I was also the

youngest in my year by quite some way. So, I was rubbish at sports,

the rare times I did any and sports are all competitive, you did more if

your good at it’ [P4: female academic aged 48, NP].

In some cases, workplace champions created inequality in the delivery

of workplace team sport by stereotyping the age and gender within their

organisation:

‘Well if we look at the demographic of what our employees’ are, and we

are a heavily female organisation, something in the region of eighty

odd percentage are female and our average age is around the high

thirty mark, say forty for the sake of argument. So, that in itself is a bit

of a barrier’ [P17: male, aged 40, NP].

Experiences of inequality perhaps explain why females in this study

described intrapersonal obstacles such as a lack of perceived competence

and reduced self-efficacy:

‘I think it’s more of a confidence thing. I don’t think I would necessarily

go, yeah I’ll play football, as I’m terrible and I think for a woman you

wouldn’t necessarily feel confident doing it with work’ [P10: female,

aged 34, NP].

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Table 3.3 continued: Template Analysis – Study 2

Ecological factors Sub-theme Facilitators (enablers) to team sport (+) Obstacles (barriers) to team sport (-)

Environmental factors The support of external sporting

organisations

+ The positive impact of external

sporting organisations

Societal factors Bias and inequality in sport - Experience of school/youth sport

and bias

- Sporting demographic ideals,

everyday sexism and bias

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Discussion Semi-structured interviews with employees were used to explore the

complexity of participating in workplace team sport. Template analysis

interpreted through an ecological model revealed participation in workplace

team sport is influenced by (i) intrapersonal, (ii) interpersonal, (iii)

organisational, (iv) environmental and (v) societal factors.

The influence of intrapersonal factors Intrapersonal factors can facilitate and challenge participation in

workplace team sport. Factors such as diminished perceptions of

competence, a negative experience of school sport, fear of failure,

embarrassment, a lack of self-efficacy and state anxiety, challenges

surrounding body image, peer expectations, over competitiveness and social

comparisons were identified as obstacles to participation in team sport (Adie

et al., 2008; Conroy & Elliot, 2004; Evans et al., 2016).

These factors thwart needs for competence and relatedness (Deci &

Ryan, 2000a, 2000b). Thwarted needs for competence and relatedness are

associated with the presence of illbeing, inconsistent participation, low

adherence, and introjected controlled forms of motivation (Gucciardi &

Jackson, 2015; Kinnafick et al., 2014a). Consistent with previous evidence,

the current study found enjoyment and a passion for sport to predispose

autonomous motivation in employees participating in workplace team sport

(Gucciardi & Jackson, 2015; Kinnafick et al., 2014; Teixeira et al., 2012).

Supporting autonomy fosters psychological functioning, autonomous

motivation and maintained behaviour (Deci & Ryan, 2000a, 2000b; Gucciardi

& Jackson, 2015; Kinnafick et al., 2014; Teixeira et al., 2012).

Researchers developing workplace team sport programmes should

therefore use strategies which support needs for autonomy, competence and

relatedness. Autonomy support may provide a useful tool for researchers

implementing team sport programmes (see Kinnafick et al., 2014). Autonomy

support provides an individual with a meaningful choice, reason and

foundation for participation (Gucciardi & Jackson, 2015). Within workplace

team sport, autonomy support could be provided by champions who

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acknowledge the perspective of individuals and minimise the presence of

pressure. Researchers should consider adopting autonomy support strategies

by encouraging champions to adapt the rules of sport, promoting novel sports

and imparting the benefits of team sport to employees (Adie et al., 2008;

Edmunds & Clow, 2015; Gucciardi & Jackson, 2015). Moreover, future

research may consider investigating the feasibility and impact of this strategy.

The influence of interpersonal factors Participants playing or contemplating participation in the current study

reported interpersonal factors to positively and negatively influence their

participation. Consistent with evidence, social relationships were found to

support needs for relatedness and encouraged participation (Adie et al., 2008;

Gucciardi & Jackson, 2015; Kinnafick et al., 2014). The findings of the current

study suggest these markers of relatedness (e.g., group cohesion, identity

and membership) are known to be effective during the uptake and adherence

to an activity (Gucciardi & Jackson, 2015; Kinnafick et al., 2014). Given

supporting needs for relatedness is associated with fostered wellbeing and

the adoption of autonomous motivation (see Deci & Ryan, 2000a, 2000b),

researchers should be aware of the social environments impact on

participation when designing interventions. Researchers may consider further

exploring the role of relatedness on workplace team sport participation and its

impact on the maintenance of behaviour.

Consistent with evidence, balancing work and personal life was a factor

employees’ contemplating participation in workplace team sport negotiated

(Audrey & Proctor, 2015; Fletcher, Behrens & Domina, 2008; Mailey, Hubert,

Dinkel & McAuley, 2014). Evidence has indicated parents attribute their

participation in PA to feelings of guilt and responsibility (Audrey & Proctor,

2015; Fletcher et al., 2008; Gucciardi & Jackson, 2015; Mailey et al., 2014).

Offering team sport across a range of time-points, through autonomy-

supportive participation (e.g., flexibility to attend) and accounting of the

individual challenges balanced by their employees may improve participation

and adherence. Researchers implementing team sport should tailor not only

to the needs of the organisation, but moreover to the personal demands that

individual employees negotiate through a participatory approach

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(Dzewaltowski, Glasgow, Klesges, Estabrooks & Brock, 2004; Nielsen,

Randall, Holten & González, 2010). Future research may consider

understanding the efficacy and feasibility of a participatory approach when

implementing team sport into a workplace setting.

The influence of organisational factors This study and previous evidence found employees seek

understanding, acceptance and support from their colleagues, superiors and

employer due to the demands shared by the workforce (e.g., job expectations,

workloads) (Adams et al., 2016; Carter et al., 2014; Cole, Tully & Cupples,

2015; Evans et al., 2016). Employers attitudes appear to shape the

perceptions and opinions of key decision makers, such as senior leadership

team members and manager (Carter et al., 2014; Grossmeier & Hudsmith,

2015). Likewise, an employer’s willingness to fund, communicate and support

workplace health promotion enables a workplace champion or an

occupational health team’s ability to set-up, manage and deliver team sport

(Adams et al., 2016; Audrey & Procter, 2015; Caperchinea et al., 2015; Pronk

& Kottke, 2009). Therefore, evidencing the efficacy of workplace team sport

may be an effective method to raise an employer’s awareness of the benefits

of workplace team sport for their organisation. Likewise, given the current

study was unable to recruit employers, future research may consider

exploring the attitudes and perceptions of these key stakeholders.

In some case, colleagues and superiors did not support team sport.

Evidence suggests workplace cultures, where the quantity of work is valued

above the health of employees discourages participation in health promotion

programmes (Cole et al., 2015; Keegan et al., 2016). Altering workplace may

be an effective method of promoting team sport within a workplace setting

(Cooper & Barton, 2015; Edmunds, Stephenson & Clow, 2013). Indeed, a

workplace culture that encouraged participation in team sport, believed in the

benefits of PA and promoted flexible working (Edmunds & Clow, 2015).

Future research implementing team sport into a workplace setting may

consider further exploring the role and effect of workplace culture on health

and PA promotion.

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Accounting for the intricacies within organisations is vital in the design

of workplace team sport interventions. As mentioned, a participatory approach

can be recognised by researchers and practitioners as a method to implement

workplace team sport intervention (Nielsen et al., 2010). Adopting a

participatory approach may secure support for the intervention (i.e.,

preparation phase), allow the researcher to address specific enablers and

barriers (i.e., screening phase), develop the intervention around the

necessary support (i.e., action planning phase) and implement the

intervention with the required support (i.e., implementation phase) (Nielsen et

al., 2010). Further, given the apparent complexity of implementing team sport

into workplaces, a participatory approach provides researchers an opportunity

to appraise and learn from the interventions implementation and effectiveness

(Dzewaltowski et al., 2004; Nielsen et al., 2010; Sørensen & Holman, 2014).

The influence of environmental factors Consistent with previous research, sporting and changing facilities

predisposed participation in workplace team sport (Barene et al., 2013,

2014a, 2014b, 2016; Halonen et al., 2015). The findings of the current expand

on this evidence by suggesting sports and changing facilities are deemed

inaccessible if they are unprofessional, unattainable or challenge the health

and safety policy of the organisation. Moreover, sports and changing facilities

are determined by the level of funding, employer’s attitude to PA and culture

within the workplace (van Bekkum, Williams & Morris, 2011).

The time taken to shower, change and return to work created obstacles

to participants playing and considering participating in workplace team sport,

more so than actual sport itself. Creating acceptance for extended breaks

within the culture of the workplace and exploiting the environment surrounding

the organisation (e.g., leisure centres, sports complexes or outdoor spaces)

may form a pragmatic solution to this obstacle (Caperchione et al., 2015).

The findings of this study indicate external stakeholders (e.g., sports

governing bodies) can assist in the set-up and delivery of workplace team

sport. Pragmatically, an external sporting organisation can offer equipment,

resources and knowledge within the remit of committee sports development.

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Creating networks with these external sporting organisations may also be a

wise step for researchers implementing workplace team sport. Future

research may consider exploring the capability and knowledge these

organisations have implementing team sport in workplace settings.

The influence of societal factors Participants identified a negative experience of school sport as an

obstacle to participation. The delivery, structure and content of PE is thought

to reduce perceptions of competence and self-efficacy (Bocarro et al., 2008;

Green, 2014; Kirk, 2005). Given the apparent impact of youth sports

experiences on adult PA behaviour, future research may consider further

exploring this issue over time with both qualitative and longitudinal designs.

Likewise, inequality driven attitudes of individuals organising and

delivering workplace team sport, may challenge the participation of

employees. Workplace champions, although not all, believed that women

within their workplace do not enjoy team sports. These attitudes go a way to

explain why female participants in this study reported a lack of self-efficacy

and made negative social comparisons surrounding performance with their

peer group (Harry, 1995; McGinnis, McQuillan & Chapple, 2005).

However, it remains interesting to note that workplace champions

reported these attitudes, rather than the six female participants who took part

in workplace team sport themselves. While there was no evidence to suggest

a ‘masculine’ culture existed within the workplaces sampled, it should be

noted that most the participants were male (i.e., 62.5% of team sport

participants were male) despite the organisations sampled being a relatively

equal split of genders. While inconclusive, participation levels and these

reports from champions may highlight more serious questions of how team

sport is promoted to female employees and if inequality exists in workplace

health promotion. Future research therefore may consider investigating the

existence and impact of inequality within workplace health and PA promotion.

Despite this lack of clarity, these attitudes go a way to explain why

female participants in this study reported a lack of self-efficacy and made

negative social comparisons surrounding performance with their peer group

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(Harry, 1995; McGinnis, McQuillan & Chapple, 2005). Researchers using

team sport to promote the health of the workforce should consider designing

interventions that are underpinned by motivation theories such as SDT, where

an emphasis is placed upon the social environments’ influence on

competence, relatedness and autonomy (Adie et al., 2008; Edmunds & Clow,

2015; Kinnafick et al., 2014).

Limitations

Previous qualitative research exploring participation in workplace team

sport has been limited by homogenous samples (Brinkley et al., 2017a).

Whilst this study aimed to address this by sampling from a range of industries

in the UK, unavoidably their perceptions and opinions may not be

representative of all employees. Moreover, participants were recruited from

large organisations. Due to the size of the organisations sampled, it is

plausible themes may be more prominent within smaller enterprises.

Moreover, the participants sampled were considered physically active.

Therefore, it is likely these participants may report different barriers to their

inactive colleagues (Keegan et al., 2016). While many of the challenges

reported within this study may be reported by inactive employees (e.g., low

perceived competence), future research may be wise to consider this

limitation when applying these findings.

Conclusion

This study explored the facilitators and obstacles associated with

participation in workplace team sport. Findings indicates intrapersonal,

interpersonal, organisational, environmental and societal factors enable or

challenge participation. A participatory approach would allow researchers to

tailor the intervention towards the necessary and required support within the

organisation (Nielsen et al., 2010). A team sport intervention guided by SDT

has the potential to train workplace champions in providing a needs

supportive programme (e.g., offering choice to participants, adapting sport,

providing sports with transferable skills) (Adie et al., 2008). Interventions using

a needs supportive behaviour change strategy are known to lead to regulated

PA behaviour and autonomous motivation (Kinnafick et al., 2014a, 2014b).

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Chapter 4 ‘Changing the Game’: A 12-

Week Team Sport Programme for the

workplace – Methods and Results at

T0-T1 (Study 3)

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Study 3

‘Changing the Game’: A 12-Week Team Sport Programme for the Workplace – Methods and Results

Introduction Chapter 2 demonstrated that participation in workplace team sport has

the capacity to improve individual, social group organisational health (Barene

et al., 2013, 2014a, 2014b, 2016; Brinkley et al., 2017a; Joubert et al., 2010a,

2010b, 2011, 2012, 2013, 2014a, 2014b). Likewise, Chapter 3 suggests that

adopting a participatory approach (i.e., tailoring interventions to the

organisation) and needs supportive strategies (e.g., adapting sport, tailoring

sessions to participant needs, offering choices to participants) which support

basic psychological needs for autonomy, competence and relatedness may

encourage participation in workplace team sport.

The literature underpinning workplace team sport is limited by

methodological flaws (e.g., failure to measure social-group and organisational

health outcomes), the use of non-validated measures (e.g., qualitative data) to

assess group-cohesion, making it difficult to observe changes overtime

(Brinkley et al., 2017a). Likewise, the team sport investigated by past

research has been inadequately described (i.e., Joubert et al., 2010a, 2010b,

2011, 2012, 2013, 2014a, 2014b). The type of sport played has been listed

rather than the intensity, duration, volume and frequency that have been

participated in. These challenge researchers in determining what ‘dose’ of

team sport equals the benefits reported by literature (Brinkley et al., 2017a).

Finally, many of the interventions lack strong theoretical underpinnings

(Brinkley et al., 2017a) that is recommended by the Medical Research Council

(MRC) (Craig et al., 2008).

The evidence presented in this thesis indicates workplace team sport

interventions would benefit from a participatory approach to implementation

(Nielsen et al., 2010; Sørensen & Holman, 2014) and the adoption of

behaviour change theories with a focus on the social environment (Gucciardi

& Jackson, 2015).

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Chapter 1 and 2 suggests research to date has not examined the

effectiveness of multi-team sport programmes on individual, social group or

organisational health outcomes. There are no intervention studies using

behaviour change theory that have examined the direct effect of multiple-

workplace team sports on objectively measured VO2 Max and self-reported

physical behaviour and organisational group outcomes such as teamwork,

communication and social cohesion. The aim of this study is therefore to

implement a pilot workplace team sport intervention and assess its feasibility

and acceptability, and to examine whether it improves health, wellbeing, PA

behaviour and organisational group outcomes.

Theoretical underpinnings

Satisfying basic psychological needs through a programme of workplace team sport

The importance of supporting basic psychological needs within

workplace team sport was identified in Chapter 3 and by Brinkley, McDermott

and Munir (2017b). This study highlighted the importance of supporting a

participant’s basic psychological needs, and the emphasis participants place

upon their enjoyment of sport, competence in sport and the social networks

and group membership associated with sport (Brinkley et al., 2017b).

Autonomous motivation and participation may be fostered by

accounting for the situational psychosocial obstacles hindering participation

(Silva et al., 2008). This intervention is therefore tailored from identified

obstacles to engagement (e.g., perceived competence; lack of facilities;

workplace commitments) and towards facilitators of participation (e.g., social

support; adaption of sport; novel activities; return to work process). Supporting

basic psychological needs through the design of the intervention is known to

promote wellbeing, and therefore provide autonomous motivation and the

improved likelihood of participation (Deci & Ryan, 2000a, 2000b).

Additionally, the adoption of activities (e.g., team sport sessions) may

promote perceptions of, and support needs for competence (Adie, Duda &

Ntoumanis, 2012). Likewise, team sports with transferable skills (e.g.,

throwing, catching, passing, spatial awareness) have been shown to improve

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perception of competence (Standage, Duda & Ntoumanis, 2005). Theoretical

debates indicate improved perceptions of competence are associated with

increased self-efficacy (Deci & Ryan, 2000a). Given self-efficacy predisposes

autonomous forms of motivation (see Deci & Ryan, 2000b), it is argued that

participation would likely increase if needs for competence is effectively

supported (Adie et al., 2008; Deci & Ryan, 2000a, 2000b). Furthermore, the

provision of taster or pre-education sessions prior to interventions, have been

argued to alleviate challenges surrounding perceptions of skill and ability,

support positive perceptions of competence, provide self-efficacy and

therefore promote more autonomous forms of motivation (Fortier et al., 2012).

Supporting needs for relatedness has been previously achieved

through the social support provided during peer-led interventions (Standage et

al., 2005; Teixeira et al., 2012). As Edmunds and Clow (2015) discuss in their

qualitative study exploring the role of workplace champions, social support

fosters perceptions of relatedness, and promotes feelings of group identity

and membership. Evidence has suggested PA behaviour is closely associated

with and fluctuated by the social environment (Deci & Ryan, 2000a, 2000b).

Teixeira et al. (2012) suggest a supportive and positive environment between

peers may support needs for relatedness, promote more autonomous forms

of motivation and therefore improve participation.

Study Aims, Objectives and Hypothesis

Aims To conduct and evaluate CTG, a 12-week workplace team sport pilot

efficacy trial aimed at improving health, PA, wellbeing, work and

organisational group outcomes among employees.

Objectives The primary objective of the current study is to test the effectiveness of

providing a workplace team sport programme over the short-term (i.e., 12-

weeks) on objectively estimated VO2 Max. This is the primary outcome

measure. Secondary objectives are as follows:

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• To investigate whether providing workplace team sports improves self-

reported PA behaviour, job performance, job satisfaction, work

engagement, occupational fatigue, physical and emotional health over the

short-term (i.e., 12-weeks).

• To investigate whether providing workplace team sports improves

teamwork, communication and cohesion over the short term (12-weeks).

• To identify the strategies and the support that underpins a successful and

sustainable workplace team sport intervention through a process

evaluation (See Chapter 5).

• To undertake interviews at 12-weeks with a sub-sample of participants in

the intervention. To provide additional insight and feedback a mixed

methods process evaluation will identify how and why changes in work-

related processes (e.g. teamwork) and outcomes (e.g. improved work

productivity) occur (See Chapter 5).

• To measure primary and secondary outcomes at baseline, and 12-weeks

using an objective test for physiological fitness and a range of validated

psychometric and self-report measures for the secondary outcomes.

Hypothesis Primary hypothesis

(H1) Participation in team sport will improve estimated maximal oxygen

uptake (VO2 Max) over the short-term (i.e., 12-weeks).

Secondary hypothesis

(H2) Participation in team sport will improve PA participation outside

the programme over intervention period.

(H3) Participation in team sport will improve markers of individual

health such as subjective vitality, quality of life, ratings of physical and mental

health, and reduce stress, sickness absence and presenteeism, body

composition, and occupational fatigue over the short-term (12-weeks).

(H4) Participation in team sport will improve group cohesion,

relationships with superiors and colleagues, communication, job satisfaction,

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individual and team job performance, and work engagement will improve over

the short term (i.e., 12-weeks) as a result of participation in workplace team

sport.

Methods

Design The intervention was a 12-week non-randomized study (quasi-

experimental design), which comprised two regional worksites from the same

large service organisation (located an estimated 130 kilometres apart). This

study can be considered a pilot efficacy trial (Craig et al., 2008; Moore et al.,

2015). Therefore, a 12-week intervention was adopted to investigate the

acceptability, feasibility and efficacy prior to implementation over the medium

(i.e., 6-month) or long (i.e., 12-month) term (Moore et al., 2015). One worksite

was assigned to the CTG (intervention group), while the other continued with

normal working conditions (control group). While RCT designs are considered

the most robust design by the MRC (Craig et al., 2008), non-randomized

intervention designs in health promotion are frequently adopted where

feasibility and practicality issues challenge implementation (Des Jarlais et al.,

2004; Schelvis et al., 2015). Furthermore, arguments within the literature

suggest quasi-experimental designs are effective at evaluating the efficacy of

interventions in the initial stages, and may be preferred due to feasibility and

practicality of conducting a controlled design (Des Jarlais et al., 2004;

Schelvis et al., 2015). In the current study, access to a local sport facility

determined the intervention site. The participants were measured pre- (T0)

and post- (T1) intervention at their respective workplaces. A schematic

overview of the study’s design, recruitment and attrition rate is provided in

Figure 4.1. Ethical approval was obtained from the researchers’ university.

This intervention follows the guidelines outlined in TREND Statement (Des

Jarlais et al., 2004). Loughborough University’s human participant’s sub-

committee (see proposal number R16-P069) participating organisation

granted ethical approval for this study to take place. The study conforms to,

and was conducted in accordance to, the Declaration of Helsinki.

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Figure 4.1: Schematic Overview of ‘Changing the Game’

Pre-intervention tasks

Organisation recruited; consultation interviews on facilitators/obstacles to team sport; consultation group established; workplace champions recruited and trained in basic

needs/autonomy support.

Enro

lmen

t

Participant recruitment and screening

(T0) Baseline measures (at participant’s worksite)

Estimated VO2 Max; PA behaviour; group cohesion psychological wellbeing; health; anthropometrics; workplace experiences. M

easu

res

Team sport (Worksite 1)

- ‘Taster’ session - Six team sports, repeating

twice over 12-weeks. - Sessions last 60 minutes - Led by workplace champions - Process evaluation

Control group (Worksite 2)

- Normal working practices - No team sport - Advice after T1 on team sport

post-intervention period. - Feedback provided if desired. - Process evaluation

Inte

rven

tion/

Con

trol

Mea

sure

s/an

alys

is

Dropouts at T1 calculated

(T1) Outcome measured (at participant’s worksite) and analysed (ITT)

VO2 Max; PA behaviour; group cohesion; psychological wellbeing; health; anthropometrics; workplace experiences.

Inclusion/exclusion criteria applied

Included: Over 18 years of age; fixed-term contract; employed for 3-days a week; situated on one worksite.

Excluded: Not meeting inclusion criteria; chronic condition worsened by physical activity; unable to provide informed consent.

Scre

enin

g/cl

uste

ring

Participants clustered based on worksite

Worksite 1 – Intervention group Worksite 2 – Control group

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Participants Participating organisation Large (>1000 employees) organisations with multiple worksites

(n=103) were contacted by email and telephone regarding participation in this

study (34% responded). Organisations were sent an overview of the study. A

Financial Times and London Stock Exchange (FTSE) 100 multi-site services

organisation, located in the Midlands, UK participated in the current study.

This organisation was recruited through emails, followed by a meeting and

presentation detailing the study to the occupational health senior leadership

team. This organisation’s selection was based on its size (i.e., >1000

employees) and structure (i.e., multiple worksites, which operate remotely).

The organisation lists its workforce as 7048 employees; of which 5080

currently operate in the UK. The organisation has employees in a variety of

remote working engineering roles and fixed location desk-bound roles. The

employees in a fixed location with desk-bound job roles were the participants

in the current study. Previous research (e.g., Eriksen et al., 2015; Owen et al.,

2010; del Pozo-Cruz et al., 2013) has indicated desk-bound employees (e.g.,

office workers) are at a substantial risk of sedentary behaviour and low

occupational PA, and therefore the associated increased risk-ratio for non-

communicable diseases and ill-health. Therefore, desk-bound employees

were sampled over employees in a role with high level of occupational PA and

low sedentary behaviour (e.g., engineering staff).

Consultation group and a participatory approach A consultation group of employees, managers, workplace champions

and employer representatives guided the implementation of the intervention

through a participatory approach (Neilson et al., 2010). Following the

guidelines of Neilson et al. (2010), the consultation group met regularly during

the design and implementation phase of CTG. The role of the consultation

group was to advise on challenges specific to the participating organisation,

and discuss the implementation, delivery and evaluation of the programme

within their organisation. The consultation group offered ‘real world’

information on the organisations, employees and workplace cultures

readiness to change. With insight to the data collected in consultation

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interviews and focus groups; the consultation group evaluated the potential

acceptability, feasibility and sustainability of the intervention.

More specifically, during the preparation phase, the researcher

established the ‘core’ of the consultation group. Stakeholders (i.e., senior

leadership team members) were recruited (through phone and email) from

HR, occupational health and wellbeing teams. The establishment of this group

allowed for support to be secured from the board level of the organisation, a

facilitator identified within Chapter 3 and previous research (see Audrey &

Procter, 2015; Caperchinea et al., 2015; Pronk & Kottke, 2009). Moreover,

this group contributed to the recruitment of the remainder of the consultation

group. During the preparation phase, the consultation group provided the

researcher contextual information on key issues such as study worksites (i.e.,

with limited contact), regional information (e.g., sports facilities), worksite

specific challenges (e.g., working practises), previous workplace PA

programmes and organisational policies and relevant information. During the

screening and action planning phase with access the themes identified in the

pre-intervention focus group, the consultation group advised the researcher

on the specific enablers and challenges faced within the workplace (e.g.,

workplace culture, attitudes to health promotion, time for intervention

sessions). During this phase, the consultation group advised on aspects of the

study presented to the group by the researcher (e.g., outcome measures,

sports, recruitment strategies, implementation of CTG, roles of workplace

champions). Finally, throughout the duration of CTG (i.e., implementation

phase) the consultation group provided feedback on the acceptability,

feasibility and efficacy of the programme. For example, the consultation group

provided contextual detail which informed the design of the post-CTG

interview schedule (see Chapter 5).

Sample Size Calculation Coherent with the guidelines outlined by the MRC (see Craig et al.,

2008), this intervention was considered a pilot efficacy trial with the objectives

of examining the acceptability of the protocol, compliance to data collection

and the sample size required to detect a difference in the primary outcome

measure. As a part of the participatory approach adopted (Nielsen et al.,

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2010), the participating organisation was consulted regarding realistic

participation rates. Despite the strength of this argument, a power calculation

was conducted. While research is yet to examine the impact of participation of

a multi-team sport programme upon physiological function, objectively

estimated measures of physiological fitness have been used to assess

workplace PA interventions, and small effect sizes have been reported (Conn

et al., 2009). A priori power calculation based on the meta-analysis of Conn et

al. (2009) was therefore conducted using G*Power (see Faul, Erdfelder &

Buchner, 1991). This meta-analysis found mean effect sizes ranging from d=

.47 to .57 for fitness tests using pre-post two-group study designs (Conn et

al., 2009). Based on this evidence, a medium effect size was likely to be

observed in the intervention (i.e., team sport programme) group on the

primary outcome measure (i.e., estimated VO2 Max). The power calculation

determined for two group study using a within-between interaction analysis of

variance (mixed-ANOVA), thirty-six participants (18 participants per worksite)

were required to observe a medium effect in the primary outcome (i.e.,

estimated VO2 Max), where f=.25, power is .95 and the error of probability is

set at .05. Given the logical argument of dropouts occurring in a workplace

setting, a 35% attrition rate was applied. Therefore, 48 participants (24 per

worksite) were required to observe a medium effect in the primary outcome

measure.

Participant recruitment Following a participatory approach, meetings with a consultation group

indicated that email, social media notifications and posters that outlined the

purpose of the study would be the most appropriate methods of

communication and participant recruitment. These methods were therefore

adopted one-month (May – June 2016) prior to the study beginning. More

specifically, emails (i.e., one per-week during recruitment period) were sent to

all employees working at the intervention and control worksites. Additional

social media notifications were placed on both ‘yammer’ and the participating

organisations internal intranet message board for the duration of the

recruitment period. Finally, posters were placed in social spaces such as

cafés, kitchens, meeting spaces, wellbeing rooms and lifts. The advertisement

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of the study was dictated by HR from the participating organisation. To ensure

participants were motivated to participate, employees in both the intervention

and control groups were recruited under the assumption they may be

receiving team sport through their workplace. Following respective

organisational policy, participant recruitment was coordinated by the

researcher across two worksites of the participating organisation. Initial

advertisement and recruitment was followed by presentations to interested

groups of staff (i.e., covering benefits of participation, types of sport played,

testing, lay rationale for the study). To prevent contamination, isolated

worksites that rarely have formal day-to-day contact were selected. Neither

the intervention or control worksite (i.e., group) was informed of the others

participation in the study. Estimates from the participating organisation state

1000 employees work at the intervention site, whilst 500 employees work at

the control site. Employees interested in participating were sent an

information sheet, informed consent form, HSQ and waiver from their

organisation (see Appendix 2). Participants were excluded if they did not meet

the inclusion criteria. Informed consent was obtained from all individual

participants included in the study.

Inclusion and exclusion criteria Inclusion criteria

Participants were required to meet the following inclusion criteria to be

included in the study:

• Be over 18 years of age

• Be contracted by the participating organisation

• Be on a permanent contract in a desk-bound role

• Be employed for at least three-days a week throughout the duration of

the study

• At work during intervention period

• Be predominately situated on one worksite

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Exclusion criteria

Participants were excluded from sampling if they met any one of the

following criteria:

• Under 18 years of age

• Sub-contracted by another organisation (e.g., temporary/agency staff)

• Contracted to work less than three-days a week (e.g., retirement, flexi-

working, maternity cover)

• Away during intervention period (i.e., planned leave or business)

• Contracted to work remotely or across multiple worksites or in a role

with high occupational PA (e.g., engineering)

• Suffering from a condition worsened by participation in PA

• Unable to provide written informed consent

Participant groups and demographics Two worksites were allocated to either the intervention (i.e., team sport

programme) (n=1000 employees) or control (n=500 employees) group (i.e.,

normal working conditions). Data on the participants’ age; gender; tenure; job

roles and organisational (i.e., structure; department size; culture)

demographics was collected.

Baseline demographics

Twenty-eight participants (n=8 females) in the intervention group were

aged between 24 to 56 years (39.59±9.11). Twenty participants (n = 12

females) in the control group age ranged between 24 to 64 years

(40.75±11.92). The participants in both groups represented a range of

qualifications, departments, positions of superiority (25% were superiors) and

job roles. All participants worked within a team, while participants with and

without dependents (54% in a position of dependency) took part in this study.

The proportion of female participants (i.e., 29%) reflects the proportion of

females working within the organisation (i.e., 30% reported in the 2016 Annual

report).

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Intervention components Team sport intervention: ‘Changing the Game’ CTG offered employees the opportunity to participate in a programme

of six different team sports. The intervention is based on the findings of a

systematic review (See Brinkley et al., 2017a) and the evidence presented in

Chapters 1-3. The feasibility of the intervention content was debated with the

consultation group prior to participation.

Team sport sessions

The CTG programme consisted of weekly one hour sessions of team

sport for 12 weeks. These sessions were participated during lunch breaks in

an indoor sports hall (30 metres x 18 metres) which was located 400 metres

walk from the participating organisation. The sessions were supervised by

sports centre staff, but led by workplace champions from the participating

organisation. Six team sports repeated twice were organised for participants.

Participants played a game of rounders (weeks 1-7); netball (weeks 2-8);

basketball (weeks 3-9); soccer (weeks 4-10); cricket (weeks 5-11); and

handball (weeks 6-12). Prior to the start of the intervention, participants were

invited to a familiarisation session, where they were provided a short ‘taster’ of

each sport. The sessions consisted of a 10-minute warm-up and

familiarisation period, and a 40-minute multi-period game (breaks given when

requested by participants). Participants played at a self-selected intensity.

During each intervention session, the estimated breaks time ranged between

five and ten minutes. The number of participants differed on a week-by-week

basis, however between 9 and 27 participants attended (see Chapter 5 for a

detailed overview of adherence data). The sessions were funded by the

researcher’s university.

Workplace champions

Evidence presented within Chapter 3 indicates peer leaders such as

workplace champions may support basic psychological needs for autonomy,

competence and relatedness and facilitate the adoption of autonomous

motivation (Edmunds & Clows, 2015; Standage et al., 2005). Therefore, to

support basic psychological needs and improve the likeliness of the

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programme content being sustained post-intervention, workplace champions

delivered intervention sessions to their peers. Two female full time junior

employees kindly volunteered to be workplace champions. The workplace

champions were 31 and 36 years of age, worked in a team, were not in a

position of superiority and had worked at the participating organisation for 1

year and 6 years.

Champions were trained in fostering basic psychological needs through

the providing autonomy support. In a similar approach to past research (e.g.,

Kinnafick et al., 2014), the champions took part in a one-hour workshop

delivered by the researcher and received a training manual and resources to

assist the delivery of each team sport (See Appendix 3 for training material

and resources). This workshop and resources provided an overview of the

differences between controlled and autonomous motivation; the health

benefits associated with autonomous participation in workplace team sport;

and how to satisfy basic psychological needs through the delivery of team

sports. Following a participatory approach, the champions were encouraged

to ask questions and suggest how the content could be effectively delivered to

their peers through supporting needs for autonomy, competence and

relatedness.

Behaviour Change Strategies

Supporting needs for autonomy, competence and relatedness were

identified within Chapter 3. Supporting basic psychological needs are known

to facilitate autonomous motivation, therefore this formed the theoretical basis

of this intervention (See SDT and BNT; Deci & Ryan, 2000a, 2000b). An

overview of the theoretical underpinnings of ‘CTG’ is provided in Table 4.1. To

standardise the description of behaviour change strategies used in CTG,

terminology consistent with the Capability, Opportunity and Motivation

Behaviour System (COM-B) (i.e., The Behaviour Change Wheel) (Michie, van

Stralen & West, 2011) is presented within Table 4.1 where appropriate.

Broadly, to support the basic psychological needs of participants;

novel, adaptable and social sports were selected. The sports chosen use a

series of transferable skills, which evidence from a physical education setting

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has indicated is linked to improved perceptions of competence (Standage et

al., 2005). For example, rounders and cricket require coordination to hit the

ball, while spatial awareness is required in soccer and handball.

Autonomy was promoted when champions reinforced the benefits of

participating in team sport, promote ownership of the session content,

provided the choice to take part or opt out of any element of a session, and

promoted enjoyment throughout sessions. Evidence has supported these

determinants of an autonomy supportive leadership style, in facilitating

autonomous forms of motivation (Conroy & Coatsworth, 2007; Rocchi,

Pelletier & Couture, 2013).

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Table 4.1: Theoretical Underpinnings of 'Changing the Game'

Theoretical underpinning Addressed through (Behaviour

Change Taxonomy Strategy)

Addressed by Brief description

Autonomy, competence, relatedness.

Participatory Approach

Pre-intervention consultation interviews

and focus groups (problem solving,

information about others approval,

restructuring physical and social

environment, pros/cons)

Tailoring to needs, demands and

concerns of participants (basic

psychological needs satisfaction)

Understanding the obstacles (e.g., time,

competence, returning to work) faced by

participants allowed the intervention to be

tailored towards facilitators to autonomy,

competence and relatedness

Autonomous motivation and adherence

Consultation group (problem solving,

pros/cons, restructuring physical and

social environment)

Leading the implementation of the

intervention, through an autonomy

supportive approach.

By accounting for the needs, demands

and concerns in the workplace. The

consultation group could implement and

guide the intervention. The consultation

group was constructed from employees

from all hierarchical levels.

Competence

Intervention content (focus on past

success, goal setting, instruction on how

to perform, habit formation)

Sports choice

The sports constructing the intervention

content require transferable skills. It is

plausible; the adoption of sports with

transferable skills can reduce challenges

faced with perceived competence.

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Table 4.1 continued: Theoretical Underpinnings of ‘Changing the Game’

Theoretical underpinning Addressed through (Behaviour

Change Taxonomy Strategy)

Addressed by Brief description

Autonomy, competence, relatedness

Workplace champion training (social

support, instruction and information about

behaviour and consequence)

Education sessions covering;

autonomous motivation, supporting basic

psychological needs and leading

intervention sessions

Training champions in autonomy support

(i.e., accounting for needs and demands

of participants, providing a choice/option)

has been linked to supporting basic

needs and autonomous motivation

Autonomous motivation and adherence

Workplace champion training (social

support, instruction and information about

behaviour and consequence)

Education sessions covering;

autonomous motivation, needs support

and leading intervention sessions

Training champions in supporting basic

psychological needs and sports delivery

can promote adherence to workplace

team sport post-intervention.

Competence

‘Come and try’ session (pros/cons,

problem solving, focus on past success,

skills training)

Champion led autonomy supportive

coaching

Prior to the intervention, employees

participated in a ‘taster’ session. The

purpose of this session was to positively

facilitate perceived competence.

Champions ‘coached’ participants

through the key skills required for each

sport.

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Table 4.1 continued: Theoretical Underpinnings of ‘Changing the Game’

Theoretical underpinning Addressed through (Behaviour

Change Taxonomy Strategy)

Addressed by Brief description

Competence

Team sport session (problem solving,

outcome goal setting, skills training, focus

on past success, incentive)

Champion coaching and intervention

content

Champions led adapted and novel sports

to facilitate perceived competence. The

sports were adapted through changes to

rules. Novel sports were adopted.

Autonomy

Team sport session (social support,

problem solving, goal setting, feedback,

instruction, self-incentive)

Champions coaching

Champions placed an emphasis on

enjoyment rather than competition during

sessions. Further, the needs, demands

and requirements of participants were

accounted for to support autonomy.

Moreover, participants were encouraged

to master the skills required for the sport.

Relatedness Team sport session (social support,

social comparison, social reward)

Champions providing social support, peer

encouragement, respect

Champions promoted relatedness in the

intervention content. Vicarious

participation by champions promotes

social support and peer encouragement.

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Competence was supported by adapting team sports. All team sports

were adapted through changes to their respective rules and traditions. For

example, the offside rule was removed in soccer, and overarm bowling was

switched for a more acceptable underarm option in cricket. In a youth sport

setting, Amorose and Anderson-Butcher (2007) suggest initially adapting

sports supports needs for competence, promotes self-efficacy and more

autonomous forms of motivation. Given the importance of autonomy and

relatedness in the motivation process champions encouraged participants to

adopt a level of ownership and alter sports to fit their needs and preferences

(Harwood, Keegan, Smith & Raine, 2015).

Finally, relatedness was supported through workplace champions

leading team sport sessions and the attendance of peers. Edmunds and Clow

(2015) state the importance of peer led sessions in providing determinants of

relatedness such as social support, group membership and identity, which

may promote more extrinsic forms of autonomous motivation. Further,

evidence has suggested the attendance of a participant’s peer group acts as

means to meet needs for relatedness, by fostering social support and group

identity, membership and cohesion (Kinnafick et al., 2014).

Control condition

Participants in the control group continued normal working practises.

Following the completion of the study, the participants were offered feedback

on the data they provided and guidance on how to set-up and participate team

sport and PA at their worksite.

Outcome measures Primary outcome measure A Chester Step Test (CST) was conducted to record an estimate of

VO2 Max (ml/kg/min) (Sykes & Roberts, 2004). The CST was developed to

provide a sub-maximal estimate of VO2 Max, and is widely used by health

authorities and within a workplace setting (Buckley, Sim, Eston, Hession &

Fox, 2004; Skyes & Roberts, 2004). Under safe and practical sub-maximal

conditions, a step test offers a feasible and ecologically valid means to

examine maximal oxygen uptake (Buckley et al., 2004; Bennett, Parfitt,

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Davison & Eston, 2015). The CST was selected over objective markers of

cardiorespiratory fitness due to feasibility (Bennett et al., 2015). More

specifically, whilst gas analysis provides a gold-standard marker of VO2 Max,

the testing protocol is invasive and often requires travel to a specialised

laboratory (Bennet et al., 2015). Moreover, the qualitative study (see Chapter

3) outlined the challenges participants negotiate with perceived competence

(e.g., fitness) and work-life balance, therefore to avoid dejecting participants a

validated field test (i.e., the CST) was adopted (see Sykes & Roberts, 2004;

Bennet et al., 2015).

The CST is one of many sub-maximal field tests (e.g., Astrand Cycle

test, Canadian Step Protocol) which provides an estimate of VO2 Max (Bennet

et al., 2015). In an adult population, the CST has demonstrated a strong level

of statistical and ecological validity and reliability (Bennett et al., 2015). More

specifically, Sykes and Roberts (2004) demonstrated the CST to strongly

correlate (r= .92) with the findings of Treadmill Gas Analysis. Further, a

systematic review examining the validity of a variety of submaximal step tests

to estimate maximal oxygen uptake in healthy adults indicates the CST offers

the most valid, reliable and feasible test to predict VO2 Max and is advocated

in community settings such as the workplace (Bennett et al., 2015).

The CST was conducted in accordance with the validated protocol of

Sykes and Roberts (2004). Participants stepped on/off a 30cm high step to a

metronome set at 15-steps per-minute, for a period of 2 minutes (i.e., Level

1). After this stage, exercise heart rate was measured by a Polar™ T31

monitor and watch and rate of perceived exertion (RPE) was indicated with

the 15-point Borg scale (see Borg, 1990). Participants continued to step for a

further 2 minutes, at 20-steps per-minute (i.e., Level 2). On completion

exercise heart rate and RPE were recorded. The step rate followed this linear

progression (+5 step/per 2 minutes) (i.e., Levels 3-5) until the participant’s

heart rate reached 80% of predicted max (220 – age), or the participant

indicated a perceived exertion score of over 15 (80% effort), or showed signs

of distress. The test ended after 10 minutes (i.e., Level 5). To provide an

accurate prediction of VO2 Max all participants completed levels 1-3. Mean

and standard deviation heart rate at each level is displayed in Table 4.2.

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Table 4.2: Mean and Standard Deviation Heart Rate Recorded at Each Step Level

Group Team Sport Control Total M SD M SD M SD Heart Rate Level 1 T0 112.10 14.39 111.70 16.41 111.93 15.10 Heart Rate Level 2 T0 114.92 34.50 120.10 32.26 117.08 33.33 Heart Rate Level 3 T0 117.85 4.52 137.85 13.04 128.48 24.59 Heart Rate Level 4 T0 131.71 5.02 147.12 8.95 140.90 9.99 Heart Rate Level 5 T0 143.28 4.6 154 0 144.50 5.52 Heart Rate Level 1 T1 104.67 21.46 115.15 15.35 109.04 19.67 Heart Rate Level 2 T1 116.96 24.58 129.88 15.82 121.97 22.00 Heart Rate Level 3 T1 112.44 6.77 138.28 13.33 135.10 13.49 Heart Rate Level 4 T1 134.00 7.95 146.33 6.37 142.40 9.58 Heart Rate Level 5 T1 146.14 5.55 154.00 1.73 148.00 6.17 Predicted 80% Max Heart Rate 143.75 7.78 143.35 9.32 143.58 8.36

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Twenty-two participants completed level 4 and 12 participants

completed level 5 at T1. Twenty participants completed level 4 and 8

participants completed level 5 at T0. An estimation of VO2 Max was then

predicted by plotting stepping heart rate against a pre-prepared datasheet

(see Sykes & Roberts, 2004). Rather than using an equation (used to predict

VO2 Max in other sub-maximal tests; see Bennet et al., 2015), the CST plots a

line of best fit (with Microsoft Excel) through each maximal heart rate at each

‘stepping stage’. A regression line was plotted using a liner graph

extrapolation technique (stage completed and stage max heart rate) between

all data points. At the max stage achieved, a vertical line was plotted down to

the x-axis, therefore projecting a participant’s maximum aerobic capacity.

Secondary outcome measures Secondary outcome measures of self-reported PA behaviour; group

interaction, communication and engagement; psychological wellbeing; health;

and workplace experiences were used to examine the impact of workplace

team sport upon individual, group and organisational health. These measures

were included on a self-report questionnaire (See Appendix 4)

Self-reported PA behaviour

The International Physical Activity Questionnaire (Short-Form) (IPAQ)

captured the duration and frequency of PA participants engaged in outside of

the intervention (Craig et al., 2003). The IPAQ is constructed of seven self-

reported items examining the extent and duration of time spent participating in

vigorous and moderate PA; walking and sitting (Craig et al., 2003). Estimates

of total and mean MET per-day and per-week were calculated across each

mode and accumulative total (Craig et al., 2003). The IPAQ is well established

and utilised in a workplace health promotion setting (Caperchione et al., 2015;

Dishman et al., 2009). Previous research has demonstrated an acceptable

Cronbach alpha (.60) (Mannocci et al., 2010).

Throughout the duration of the intervention, participants were provided

a 12-week diary to record the day-to-day variation, frequency and duration in

their PA behaviour (e.g., exercise, team sport) (see Appendix 5). Participants

were asked to recall the type, duration and intensity of their PA for a 7-day

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period, throughout the 12-week intervention. During analysis, time spent

participating in CTG was removed from analysis to observe changes in PA

participation outside the intervention.

The type of PA a participant engaged in outside the intervention at T0

and T1 was understood with a single open-ended question (“Please describe

any PA you do outside of work at least once a week”). Recently, data

collected through PA diaries has correlated with the output with objective

measures (i.e., ActiveGraph and SenseCam) of PA on indicators of intensity

(r=.67) and duration (r=.82) (Connor, McCaffrey, Whyte & Moran, 2016).

Group interaction, communication and engagement

Group cohesion

The extent participants experienced between cohesion in the

workplace was measured using the ‘social community’ sub-scale of the

Copenhagen Psychosocial Questionnaire-II (CPS2) (Kristensen, 2001). This

sub-scale of the CPS2 uses three 6-point Likert scale items (“always” to

“hardly ever”) to capture the presence and extent of cohesion, cooperation

and community in workplace teams (example item: “Do you feel part of a

community at your place of work?”). During analysis, a mean score was

calculated and converted to a 0-100 score. Higher scores denote greater

perceptions of cohesion, cooperation and community within workplace teams.

A strong Cronbach alpha score (.89) was demonstrated by research

examining the psychometric properties of this sub-scale in Spanish

workplaces (Moncada et al., 2014).

Relationships with colleagues and superiors

The ‘social support from colleagues’ (example item: “How often do you

get help and support from your colleagues?”) and ‘social support from

superiors’ (example item: “How often do you get help from your nearest

superior?”) sub-scales from the CPS2 captured the strength of relationships

with colleagues and superiors (Kristensen, 2001). Each sub-scale is

constructed from three 5-point Likert scale items (“always” to “never/hardly

ever”). A mean score for relationships with colleagues and superior was

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converted to 0-100 scores. Higher scores denote strong relationships with

colleagues or superiors respectively. Research has found Cronbach alpha

scores for colleagues (.70) and for superiors (.73) (Thorsen & Bjorner, 2010).

Communication

Communication in the workplace was captured using five recently

designed items from González-Romá and Hernández (2014). These five

items (example item: “To what extent is the communication among the

members of your team clear?”) were assessed using 5-point Likert scales

(“not at all” to “very much”). During analysis, a mean score was calculated and

converted to a 0-100 score. Higher scores denote greater perceptions of

communication within workplace teams. When examining the impact an

organisational climate had on communication, team performance and conflict

in the workplace, this scale demonstrates a strong Cronbach alpha score (.95)

(González-Romá & Hernández, 2014).

Psychological wellbeing

Subjective wellbeing was measured with the Subjective Vitality Scale

(SVS) (State Version) (Frederick & Ryan, 1993). The SVS is constructed from

seven 7-point Likert scale items (“not at all” to “very true”). An example item

includes, “At this moment I feel alive and vital”. A mean score was calculated

and converted to a 0-100 score. Higher scores denote greater perceptions of

subjective wellbeing. The SVS is extensively used in research (e.g.,

Thøgersen-Ntoumani et al., 2014). Further, a strong Cronbach alpha score

(.89) was found when validating the SVS (Bostic, McGartland, Rubio & Hood,

2000).

Quality of life

The Satisfaction with Life Scale (SLS) understood a participant’s

quality of life (Diener, Emmons, Larsen & Griffin, 1985). Global cognitions and

judgements regarding quality of life are assessed with five 7-point Likert scale

items (“strongly agree to strongly disagree”). An example item includes, “I am

satisfied with my life”. During analysis, a mean score was calculated and

converted to a 0-100 score. Higher scores reflect higher perceptions of quality

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of life. The SLS has demonstrated an acceptable level of internal consistency

(.87) (Arrindell, Meeuwesen & Huyse, 1991).

Stress

The Perceived Stress Scale (short form) (PSS) examined experiences

of stress (Cohen, Kamarck & Mermelstein, 1983). This measure is

constructed from four 5-point Likert scale items (“never” to “very often”). An

example item includes, “How often have you felt things were going your way”.

Items 1 and 4 are reversed scored, and following the recommendations of

Cohen et al. (1983), the precursor to these items (i.e., “in the last the month”)

was altered to “in the past week”. This was to observe changes in perceived

over the short-term. Cohen et al., (1983) argues this will have no noticeable

changes to the psychometric properties of the measure. During analysis, a

total score is calculated and converted to a 0-100 score. Lower scores reflect

higher perceptions of stress. The PSS has demonstrated a strong internal

consistency score (.85) during validation (Cohen et al., 1983).

Health

Sickness absenteeism and presenteeism

Days spent absent or attending work feeling unwell (i.e., presenteeism)

were assessed with two self-report questions designed for this study.

Participants recalled the number of days they had taken sick or attended work

feeling unwell over preceding three-month period. Recently self-reported

measures and annually recorded sickness absence have been moderately

correlated (r=.48) (Jenkins, 2014).

Occupational fatigue

The extent occupational fatigue was experienced post-work was

measured using with the Need for Recovery Scale (NRS) (Veldhoven &

Broersen, 2003). The NRS is constructed from eleven dichotomous response

(Yes/No) questions (example item: “By the end of the working day, I feel really

worn out”). Unfavourable responses are scored with a value of 1, while

favourable responses are scored with a value of 0. A total of score of the 11

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items is recoded and converted as a 0-100 score. A lower score denotes

greater occupational fatigue and therefore a need for recovery (Veldhoven &

Broersen, 2003). When investigating the occupational fatigue and recovery

with white water raft guides, Wilson, McDermott and Munir (2016) report

Cronbach Alpha scores of .73 to .82 across the duration of the commercial

season.

Perceptions of health

Self-perceptions of physical and mental health were examined with two

items developed by Hendriksen et al. (2010). These two 5-point Likert scale

items (“excellent” to “poor”) ask a participant to rate their perceptions of

physical and mental health (e.g., “How would you evaluate your……health”)

over the preceding two-week period. Bowling (2005) suggests single items of

physical and mental health can be adopted for practical reasons, where other

measures of health can triangulate phenomena. The current study adopted

single-items to avoid adding to a lengthy questionnaire, therefore limiting the

time-based burden placed on the participant (Bowling, 2005). During analysis,

mean scores for both items was calculated and converted to 0-100 scores.

Higher scores reflect greater perceptions of physical and mental health.

Anthropometrics

Objectively measured height and weight was recorded to determine

BMI (kg/m2). BMI was calculated using height at T0 and weight at T0 and T1

respectively. Height was measured at T0 to the nearest Millimetre by a

Leicester Height measure™ following the stretch stature protocol (see Marfell-

Jones, Olds, Stewart & Carter, 2006). Weight in kilograms was measured at

T0 and T1 by a Marsden™ M550 GP digital scale. Following the protocol

outlined within Madden and Smith (2014), participants were asked to remove

heavy clothing, socks and shoes, and empty their pockets prior to all

measurements.

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Workplace experiences

Job satisfaction

The Single-Item of Job Satisfaction examined the extent the participant

was satisfied with their job (Warr, Cook & Wall, 1979). This item (i.e., “Taking

everything into consideration, how do you feel about your job as a whole?”)

captures global job satisfaction through a 7-point Likert scale (“extremely

dissatisfied” to “extremely satisfied”). The output of this item was converted a

0-100 score. A higher score indicates job satisfaction. When examining the

reliability and validity of job satisfaction scales, Dolbier et al. (2004) found an

adequate level of internal reliability for the single item of job satisfaction (.73).

Job performance

Self-rated job performance was assessed using four 5-point four Likert

scale items (“almost never” to “almost always”) developed by previous

research (Williams & Anderson, 1991). An example item included is, “I go out

of my way to help other colleagues”. Unfavourable responses are indicated

with a lower score (e.g., 1), while favourable responses are denoted with a

higher score (e.g., 5). A mean score was calculated and converted to a 0-100

score. Higher scores denote greater perceptions of job performance.

Recently, Munir et al. (2015) demonstrated an acceptable alpha co-efficient

(.77), while examining the impact of work engagement and occupational

sitting time.

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Team performance

Self-rated workplace team performance was examined using three 5-

point Likert scale items (“strongly disagree” to “strongly agree”) from the ‘team

effectiveness’ sub-scale of the Aston Team Performance Inventory (West,

Markiewicz & Dawson, 2006). An example item included is, “My team is often

told by others that it is performing well” (West et al., 2006). During analysis, a

mean score was calculated and converted to a 0-100 score. Higher scores

reflect greater perceptions of team effectiveness and performance. Previous

organisational research has found acceptable Cronbach alpha scores (.66

and .73) (Callea, Urbini, Benevene & West, 2014).

Work engagement (vigour, dedication, absorption)

The Utrecht Work Engagement Scale (short form) (UWES) captured a

participant’s perceptions of their engagement in the workplace (Schaufeli,

Bakker & Salanova, 2006). Nine (i.e., three items per factor) 7-point Likert

scale items (‘1’ never to always ‘7’) assess vigour (example item: “At work I

feel bursting with energy”), dedication (example item: “My job inspires me”)

and absorption (example item: “I am immersed in my role”). During analysis

mean scores were calculated and converted to 0-100 scores across each

factor and as a total score. A study examining the psychometric properties of

the UWES found Cronbach Alpha scores ranging from.75 to .90 (Seppälä et

al., 2009), while Munir et al. (2015) indicated the UWES has a strong level of

internal reliability (.90).

Demographics

Fourteen self-designed items examining age; gender; education;

marital and dependency status; ethnicity; tenure; contacted hours; job role;

department; teamwork; and leadership responsibilities explored the

demographic of the sample.

Ethics University ethical approval This study complies with the guidelines, and is approved by the,

Loughborough University Ethical Advisory Panel in relation to research with

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human participants (see R16-P069 for confirmation of approval). All

participants were required to provide informed consent and complete a health

screen questionnaire (See Appendix 2). All data in the current study and

publications regarding this study are presented in an anonymised form.

Insuring the safety and confidentiality of participants Safety of participants

Participation in team sport and CST may be associated with a minor

risk of injury (Fernández-Morales, Otero & Castillo, 2002; Joseph and Finch,

2014; Sammito, 2011). Examples of such injury include, but are not limited to,

collision with other participants and musculoskeletal strain from overuse

(Joseph and Finch, 2014). Following the guidance of Sammito (2011),

throughout the design of this intervention, attempts were made to manage

such risks for participants. More specifically, the sports selected were

considered non-contact, and participants were reminded of associated risks of

participation in team sport prior to the start of the study, during baseline

measures and at the beginning of each intervention session. Moreover, at the

beginning of each intervention session and the CST, participants were

encouraged to warm up. Additionally, during team sport participants were

reminded they are playing with their peers, for the purposes of enjoyment and

not competition.

Confidentiality of participants

To protect the confidentiality and anonymity of participants, during data

collection all names were replaced with a participant assigned code. Further,

participants were given the right to remove themselves from the study until the

point the data is published. The current study’s information sheet and

informed consent detailed the nature of anonymity and confidentiality; what

was involved when taking part in this research; and how data was to be

reported. Participants had the opportunity to ask any questions prior to the

study. There were no incentives in participating in this research.

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Reporting findings

The findings of this study are disseminated in peer-reviewed

publications (Brinkley et al., 2017c; Brinkley et al., 2017d), presented to the

wider community and reported to the participating organisation. In all cases,

all information regarding individual participants is presented sensitively. More

specifically, data is presented in an unidentifiable format, and not in an

individual manner. Reports for individual participants were prepared, when

requested. Such reports reflected individual data and not a comparison with

either the intervention or control group.

Procedure Following pre-intervention tasks and consultations with the consultation

group, participants were recruited and screened. One worksite was assigned

the intervention condition (i.e., ‘CTG’ programme), while the other the control

condition (i.e., continue with normal working practises), however participants

were not informed of their respective condition until T0 measures had been

conducted. Consistent with best practise recommendations (i.e., Des Jarlais

et al., 2004; Schelvis et al., 2015) the worksite with greater accessibility and

proximity was assigned the intervention condition. Participants were invited to

take part in a one-hour testing session at their workplace where T0 measures

were administered. This was conducted one-week prior to the start of the

intervention taking place. In all cases, participants completed the

anthropometrics measures to prevent any changes through perspiration and

associated sweat loss. The CST followed this, and following a short break to

‘refresh’, all participants completed the questionnaire measure. Once

complete, the purpose of the self-report diary was explained and intervention

content provided (i.e., map/directions to sports hall, schedule of sports –

intervention group only), participants were given a contact of the researcher to

ask any questions they may have had post T0 measurements. Following T0

measurements, workplace champions led a short taster session followed by

the twelve team sport sessions (one-per week; 12-weeks) to the intervention

group. The control group continued with normal working conditions. Following

the 12-week intervention period T1 measurements were collected from both

groups at their respective worksites. These measurements follow the same

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protocols outlined in T0. Throughout the intervention, process evaluation data

was collected from participants using a mixed-method approach (see Chapter

5 for a detailed overview).

Process evaluation In accordance to the guidelines outlined by the MRC (See Craig et al.,

2008), a process evaluation was conducted. Given the complex design of this

intervention, it remained important to understand the acceptability and

feasibility of the intervention in an organisational setting (Nielsen & Randall,

2013). Therefore, a RE-AIM guided evaluation was conducted to understand

the reach, effectiveness, adoption, implementation and maintenance of the

intervention (Dzewaltowski, Glasgow, Klesges, Estabrooks & Brock, 2004).

Further details of this evaluation are provided in Chapter 5.

Data management and analysis Data management Data collected from participants in the form of output from the CST,

self-reported diary data, questionnaire data and anthropometrics from both

time points was inputted into Microsoft Excel and then converted into IBM

SPSS (version 23). All analysis was conducted using SPSS and P<.05 was

considered statistical significant. The magnitude of change is represented by

a 95% confidence interval. All questionnaire data was converted to 0-100

score, whereby a higher score represents a positive outcome (e.g., higher

work-engagement). The data was screened for data entry error against the

raw data collected from participants. Consequently, the data was screened for

missing data, and outliers in the form of data entry error, measurement error

or values which proved to be genuine. All data was treated under the

‘Intention-to-Treat’ (ITT) principle, whereby all participants are included in

analysis regardless of intervention participation, adherence or dropout at T1

(Elkins & Moseley, 2015). Missing data was treated with the last observation

carried forward method (i.e., missing data at T1 replicated with data from T0).

Statistical analysis

Data is represented by mean±standard deviation. Data was tested for

normality using a Shapiro-Wilk test, homogeneity of variance using Levene’s

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test and for homogeneity of covariance using Box’s test. Outliers were

winsorized to the nearest non-outlying value. Subsequently, descriptive

statistics (M±SD) were conducted on demographic (e.g., age, gender,

average working hours, tenure) and outcome data (e.g., VO2 Max, Total MET

value per week, stress, work-engagement). The data representing estimated

VO2 Max (relative and absolute), quality of life, stress, subjective vitality, BMI,

sitting time, group cohesion, relationships with superiors, job performance,

team performance and work-engagement (total score, dedication and

absorption) was normally distributed and had homogeneity of variance and

covariance. Typically, data was normally distributed, however where this is

not the case, this is indicated in tables with a▼. However, it should be noted

that ANOVAs are considered robust enough to analysis non-normally

distributed data (Schmider, Ziegler, Danay, Beyer & Bühner, 2010). Given the

lack of a non-parametric alternative to mixed method ANOVAs, a main

analysis using these tests was conducted on all outcome variables.

A series of independent sample t-tests were used to identify any

differences between the demographics and T0 measures of participants in the

intervention and control group. The primary outcome (i.e., estimated VO2) was

examined using a mixed design (within-between) ANOVAs under the ITT

principle. Additional mixed design (within-between) ANOVAs under the ITT

principle were conducted to investigate the impact of the intervention on all

secondary outcome measures. Significant findings were followed up with

paired sample t-tests. For clarity, data was also examined with a series of

mixed design ANCOVAs controlling for gender, age, BMI and average

working hours. These returned no contrasting findings. Additionally, PA

behaviour over the duration of the intervention was examined using a mixed

design ANOVA. A series of one-way ANOVAs investigated differences in

week-by-week PA behaviour. Tables 4.4-4.6 demonstrates the output from all

mixed ANOVAs conducted in the current study. Where a non-significant

interaction was identified, a post-hoc power analysis was conducted using

G*Power to determine if sufficient power was achieved (Faul et al., 1991).

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Results

Recruitment Rate Recruitment took place on the intervention and control worksites for

one month between May and June 2016. Participants were recruited through

email, social media notifications and posters through both worksites. In total

248 participants on the intervention site and 200 participants on the control

site expressed an interest in the study. The exact reach of the poster and

social media notifications is unknown. In the intervention group, 103

participants were considered eligible to participate, while in the control group,

20 participants were considered eligible to participate. Due to health and

safety concerns regarding the number of participants in the sports hall, 28

participants on the intervention site were selected on a first-come, first-

severed basis.

Attrition rate No participants dropped out before the intervention or control condition

began. Please refer to Chapter 5, for a detailed discussion on intervention

session attendance. One participant, dropped out of the intervention

condition, citing workplace demands. At T1 eight participants dropped out.

Reason for attrition included workplace demands and not returning several

attempts of contact. No participants dropped out of the control group at T1.

Under the ITT principle, all participants (n=48) were included in analysis.

Missing data was treated with the last-observation-carried-forward method.

No significant differences in age, gender, tenure, average team size, number

of teams, superiority, VO2 Max, BMI, subjective vitality, stress, quality of life,

absenteeism and presenteeism, health ratings, MET minutes of PA, sitting

time, job and team performance, work-engagement, cohesion and

communication were observed between those who completed the study and

those who withdrew. Figure 4.2 provides an overview of study attrition and

recruitment.

Participant demographics Forty-eight employees (n = 20 female) participated in the current study.

The 28 participants (n = 8 females) in the intervention group ages ranged

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from 24 to 56 years (39.59±9.11). While the 20 participants (n = 12 females)

in the control group ages ranged from 24 to 64 years (40.75±11.92).

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Figure 4.2: Changing the Game - Recruitment and Attrition Data

Worksite 1 - Total number of participants

approached (intervention group) = 248

Worksite 2- Total number of participants

approached (control group) = 200

Total eligible (intervention group) = 103

Total eligible control group = 20

Declined participation =

171

Declined participation = 96

Not eligible = 9

Unable to attend T0

Not eligible = 49 Working offsite

= 4 Unwilling to

complete/attend T0 measures = 32 Unable to

attend sessions = 13

Intervention group completed T0 = 28

Control group completed T0 = 20

Intervention condition (Changing the Game)

Control condition (normal working practise)

Intervention attrition = 1 workplace demands =

1

Control attrition = 0

Intervention condition completed = 27

Control condition completed = 20

Intervention group completed T1 = 20

Control group completed T1 = 20

Intervention T1 attrition =

uncontactable = 3 Workplace

demands (unwilling to take part) = 5

Total number analysed (ITT) = 48.

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The participants in both groups had a range of qualifications ranging

from GCSE to undergraduate degrees. Most participants in the intervention

(86%) and control (80%) groups had a partner or were married. The

participants in both groups differed on the level of dependency held, with 61%

of the intervention group having dependents, while only 45% of the control

had a dependent.

The majority of participants were white British (90%); however, a range

of ethnicities were also represented. More specifically, 4% of participants

were Asian, 4% were Pakistani, 1% was British Indian and 1% was white

German. The average tenure of the intervention group was 9.9 years and

11.61 years in the control group. All participants worked within a team, while

25% of the samples were in positions of superiority. The intervention group

worked in a variety of office based roles within health, safety and wellbeing

(11%), IT support (43%), credit and finance (11%), HR (7%), performance

(11%) and commercial and quality (10%). Likewise, the control group worked

within office based roles within insolvency (5%), customer care and billing

(20%), credit and finance (30%), back office (5%), litigation, enforcements and

transformation (20%) and commercial and quality (20%). The typical number

of workplace teams was 1.7, while the average size of teams was 9.29 and

11.45 in the intervention and control group respectively. Additional

demographics are provided in Table 4.3.

A series of independent samples t-tests confirmed that the groups did

not significantly differ in age, height, tenure, average team size, number of

workplace teams or superiority. However, the groups did significantly differ on

gender (P<.03) and average hours worked (P<.034). More specifically, 29% of

the intervention group were female, while 60% of the control group were

female. Further, the control group worked 4.09 hours less per-week than the

intervention group. Participants were not matched at T0.

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Table 4.3: Participant demographic and T0 data.

Group Sig Team Sport Control Total M SD M SD M SD Age (Years) 39.59 9.11 40.75 11.92 40.08 10.29 .708 Gender M= 20, F = 8 M =8, F =12 28/20 .030* Body Mass Index (BMI) (Kg/M2) 27.71 4.49 26.28 5.09 27.12 4.75 .931 Height (cm) 172.35 86.45 161.89 35.21 168.00 239.00 .136 Tenure (Months) 119.77 123.01 139.35 162.11 128.10 139.65 .640 Average Working Hours 38.74 7.15 34.65 4.96 37 6.57 .034* Average Number of Teams 2 1.46 1.3 .73 1.70 1.24 .057 Average Team Size 9.29 6.68 11.45 9.11 10.21 7.79 .875 Number of Superiors 18 10 28 .064 Significant interactions indicated with *P<.05, **P<.01, ***P<.001. M=Male, F=Female. Kg=Kilogram. Cm=Centimetre.

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Table 4.4: Individual health outcomes for the team sport (intervention) and control groups assessed using a mixed ANOVA at baseline (T0) and at the end of the intervention (T1).

T0 T1 T0-T1 95% CI F Statistic M SD M SD Group x Time Time Group

VO2 Max (ml/kg/min) 39.68 11.19 42.04 10.34 1.925 .307-3.543 10.258** 5.733* 4.983* Team Sport 41.32 12.29 45.82 9.06 4.5 2.248-6.752

Control 37.40 9.26 36.75 9.87 -.65 -2.299-4.1694 Absolute VO2 Max (L/min)

3.13 1.02 3.37 .94 .24 .062-.348 6.426* 8.292** 8.846**

Team Sport 3.37 1.09 3.75 .85 .38 .186-586 Control 2.79 .81 2.81 .78 .02 -.183-.231

Total MET minutes per week

2878.38 2882.92 2830.58 2519.07 -21.819 -512.33-555.97 .472 .007 1.110

Team Sport 2474.08 2880.50 2678.18 2282.26 204.099 -582.53-990.72 Control 3444.40 2882.92 3283.94 2840.80 -160.46 -839.93-519.01

Subjective Vitality 71.18 12.09 72.91 11.59 1.877 -.824-4.577 .437 .169 .919 Team Sport 71.41 12.73 72.40 13.39 .990 -1.823-3.803

Control 70.86 11.45 73.62 8.74 2.764 -2.542-8.071 Quality of Life 71.01 16.67 70.41 17.05 -.939 -3.674-1.797 .136 .493 .492

Team Sport 68.57 16.51 69.69 16.91 1.122 -2.755-5.0 Control 74.42 16.69 71.24 17.63 -3.0 -6.819-.819

Stress 67.97 18.23 69.66 18.81 1.384 -3.269-6.037 1.298 .358 .388 Team Sport 64.95 19.78 68.97 19.72 -1.250 -8.818-6318

Control 71.87 15.37 70.62 17.92 4.018 -1.999-10.035 Occupational Fatigue 70.84 24.00 74.06 25.36 3.279 -7.798-1.240

.025 2.133 2.449

Team Sport 66.57 25.35 69.49 27.90 2.922 -9.069-3.226 Control 76.82▼ 21.15 80.45 20.27 3.636 -10.454-3.182

Significant interactions indicated with *P<.05, **P<.01, ***P<.001. ml/kg/min = Millilitres/kilogram/minute. MET=metabolic equivalent of task.

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Table 4.4 continued. Individual health outcomes for the team sport (intervention) and control groups assessed using a mixed ANOVA at baseline (T0) and at the end of the intervention (T1).

T0 T1 T0-T1 95% CI F Statistic M SD M SD Group x Time Time Group

Weight (Kg) 79.68 15.64 80.88 14.69 1.20 -2.215--.532 6.330* 10.790** 1.957 Team Sport 82.67 15.97 83.00 15.37 .33 -.341-.984

Control 75.50 15.53 77.93 13.50 2.43 .577-4.273 BMI (Kg/M2) 27.12 4.75 27.58 4.42 .533 .237-.830 6.788* 13.091*** .608

Team Sport 27.71 4.49 27.86 4.41 .321 -.341-984 Control 26.28 5.09 27.20 4.52 2.425 .577-4.273

Total MET minutes Vig PA per week

1260.35 1857.37 1569.16 1972.84 310.582 17.433-603.732 .005 4.548* .074

Team Sport 1202.89 1922.16 1502.85 1823.44 299.964 -95.187-695.115 Control 1340.80 1808.79 1662.00 2210.72 321.200 -127.846-770.246

Total MET minutes Mod PA per week

591.25 983.08 468.75 806.26 -122.14 -441.96-197.68 .000 .591 1.992

Team Sport 469.28 858.22 345.00 487.06 -124.28 -393.97-145.39 Control 762.00 1136.40 642.00 1103.06 -120.00 -808.622-568.622

Significant interactions indicated with *P<.05, **P<.01, ***P<.001. Kg=kilogram. MET=metabolic equivalent of task.

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Table 4.4 continued. Individual health outcomes for the team sport (intervention) and control groups assessed using a mixed ANOVA at baseline (T0) and at the end of the intervention (T1).

T0 T1 T0-T1 95% CI F Statistic M SD M SD Group x Time Time Group

Total MET minutes walking per week

890.59 902.05 832.83 807.47 -54.47 -334.861-225.908 .020 .153 1.240

Team Sport 801.91 818.59 727.76 823.65 -74.143 -402.979-254.694 Control 1014.75 1016.27 979.94 780.88 -34.810 -541.088-471.468

Total Sitting minutes per day

461.62 177.15 436.52 182.20 -29.054 -67.838-117.717 .828 1.245 .293

Team Sport 462.14 169.56 456.78 164.99 -5.357 -55.020-44.306 Control 460.90 191.77 408.15 204.89 -52.750 -160.76-55.267

Physical Health Rating 56.25 26.04 59.89 24.59 3.89 -1.895-9574 .166 1.816 .228 Team Sport 55.35 24.86 58.03 22.62 2.679 -4.940-10.298

Control 57.50 28.21 62.50 27.50 5.0 -3.983-13.983 Mental Health Rating 66.66 25.43 58.85 30.28 -7.946 -18.034-2.141 .026 2.514 .563

Team Sport 64.28 23.00 57.14 31.81 -7.143 -20.559-6.273 Control 70.00 28.79 61.25 28.64 -8.750 -24.528-7.028

Significant interactions indicated with *P<.05, **P<.01, ***P<.001. MET=metabolic equivalent of task

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Table 4.5: Social group outcomes for the team sport (intervention) and control groups assessed using a mixed ANOVA at baseline (T0) and at the end of the intervention (T1).

T0 T1 T0-T1 95% CI F Statistic M SD M SD Group x Time Time Group

Group Cohesion 60.61 13.51 62.81 12.43 2.170 -.905-5.245 .014 2.018 .417 Team Sport 61.48 13.48 63.83 11.81 2.350 -2.225-6.925

Control 59.40 13.81 61.39 13.42 1.990 -1.808-5.788 Relationship Superiors 51.73 14.97 51.02 14.19 -.710 -4.804-2.335 3.067 .490 2.514

Team Sport 47.92 16.33 49.80 15.44 1.871 -1.969-5.711 Control 57.07 11.12 52.73 12.40 -4.340 -11.217-2.537

Relationship Colleagues 51.60 12.49 48.10 13.95 -3.809 -7.236--.382 1.220 5.006* .091 Team Sport 51.25 10.09 49.32 10.92 -5.690 -13.074-1.694

Control 52.08 15.51 46.39 17.50 -1.929 -4.545-1.631 Communication 76.50 11.33 77.16 11.66 .200 -2.491-2.891 4.386* .022 .495

Team Sport 74.42▼ 10.74 77.42▼ 12.03 3.000 -.446-6.446 Control 79.40 11.71 76.80▼ 11.43 -2.600 -7.033-1.833

Significant interactions indicated with *P<.05, **P<.01, ***P<.001.

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Table 4.6: Organisational health outcomes for the team sport (intervention) and control groups assessed using a mixed ANOVA at baseline (T0) and at the end of the intervention (T1).

T0 T1 T0-T1 95% CI F Statistic M SD M SD Group x Time Time Group

Job Satisfaction 75.59 9.75 77.08 8.19 1.174 -1.579-3.926 1.906 .737 .556 Team Sport 75.51 9.41 78.57 9.11 3.061 -.740-6.863

Control 75.71 10.46 75.00 6.34 -.714 -4.758-3.330 Job Performance 83.22 9.91 83.33 9.96 .089 -2.730-2.909 .687 .004 .597

Team Sport 83.57 10.44 84.64 9.51 1.071 -5.400-2.900 Control 82.75 9.38 81.50 10.52 -1.250 -7.386-8.386

Team Performance 65.36 14.92 64.83 13.60 -.646 -3.834-2.543 .181 .166 .267 Team Sport 63.27 14.70 63.30 14.80 .29 -3.558-3.615

Control 68.29 15.11 66.97 11.74 -1.320 -7.274-4.634 Absence (days) .333 .952 .770 1.801 .468 -.036-.971 .530 .068 .172

Team Sport .214 .686 .500 1.201 .286 .160-732 Control .500 1.23 1.15 2.39 .650 -.416-1.716

Presenteeism (days) 6.08 15.70 5.04 15.6 .468 -.036-971 .600 .058 .147 Team Sport 4.78 12.54 1.92 2.62 -2.857 -7.554-1.840

Control 7.9 19.51 9.4 23.64 1.5 -10.756-13.756

Significant interactions indicated with *P<.05, **P<.01, ***P<.001.

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Table 4.6 continued: Organisational health outcomes for the team sport (intervention) and control groups assessed using a mixed ANOVA at baseline (T0) and at the end of the intervention (T1).

T0 T1 T0-T1 95% CI F Statistic M SD M SD Group x Time Time Group

Work Engagement 69.06 15.13 67.30 15.99 -1.716 -4.304-.873 .631 1.780 2.062 Team Sport 71.23 15.28 70.53 15.77 -.694 -4.317-2.929

Control 66.04 14.77 63.30 15.72 -2.737 -6.446-.971 Work Vigour 63.50 17.38 58.02 15.89 -2.715 -6.161-.730 .41 2.516 .607

Team Sport 64.69 19.60 63.07 20.91 -1.619 -5.542-2.304 Control 61.83 14.01 60.96 18.96 -3.812 -10.188-2.565

Work Dedication 72.31 19.84 65.25 20.61 -1.981 -5.653-1.691 .113 1.179 2.845 Team Sport 76.38 16.32 73.79 18.89 -2.595 -7.528-2.337

Control 66.62 23.16 70.23 19.89 -1.367 -7.024-4.291 Work Absorption 71.38 14.45 70.00 16.71 -1.618 -4.837-1.602 .783 1.023 1.043

Team Sport 72.61 14.41 72.41 16.80 -.202 -6.654-.587 Control 69.65 14.69 66.62 16.41 -3.033 -5.127-4.722

Significant interactions indicated with *P<.05, **P<.01, ***P<.001.

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Observations of T0 data A series of independent samples t-tests confirmed that at T0 the

intervention and control groups did not significant differ on the primary

outcome of estimated VO2 Max (relative and absolute); and secondary

outcomes of BMI, subjective vitality, stress, quality of life, sickness absence,

sickness presenteeism, physical and mental health ratings, need for recovery,

MET minutes PA, vigorous PA, moderate PA, sitting time and walking, and job

satisfaction, job performance, team performance, cohesion, communication

and work engagement (total score, vigour, absorption, dedication). The

groups did differ on markers of relationships with superiors (P<.036). Table

4.3 provides an overview of observations at T0.

Main analysis Does participation in CTG improve estimated maximal oxygen

uptake over the short-term (12-weeks)? (H1) Participation in workplace team sport significantly improved estimated

relative VO2 Max (P<.002, η2p=.182), when compared to the control group

(see Figure 4.3). A mixed design ANOVA captured a group

(intervention/control) x time (T0/T1) interaction for mean estimated relative VO2

Max. A follow-up paired samples t-test observed a significant (P<.0001,

d=.774) increase in estimated relative VO2 Max of 4.5±5.80 ml/kg/min (95% CI

2.248-6.752) in the intervention group. However, a non-significant reduction

(P<.568, d=.129) of .65±5.00 ml/kg/min (95% CI -2.299-1.694) was observed

in the control group. Moreover, participation in workplace team sport

significantly improved absolute VO2 Max (P<.014, η2p=.123), when compared

to the control group (see Figure 4.4). A mixed design ANOVA captured a

group (intervention/control) x time (T0/T1) interaction for mean estimated

absolute VO2 Max. A follow-up paired samples t-test observed a significant

(P<.0001, d=.75) increase in estimated relative VO2 Max of .386±.515 L/min

(95% CI .585-.186) in the intervention group. There was a minor non-

significant increase (P<.811, d=.055) of .024±.442 L/min (95% CI .231-.183)

observed in the control group.

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Figure 4.3: Interaction Effect from Intervention and Control Group on Estimated VO2 Max (ml/kg/min). Standard Error is Displayed.

Figure 4.4: Interaction Effect from Intervention and Control Group on Estimated Absolute VO2 Max (L/min). Standard Error is Displayed.

Does participation in CTG improve PA behaviour outside of the programme over time (12-weeks)? (H2)

Does CTG influence total MET minutes PA per week?

Data suggests participation in CTG has the capacity to improve PA

behaviour over time. A modest increase was observed in the intervention

group’s MET’ per week as measured by the IPAQ. In contrast, the control

33

35

37

39

41

43

45

47

49

Baseline Post-Intervention

V02 M

ax (m

l/kg/

min

)

Time

Intervention Group

Control Group

2.5

2.7

2.9

3.1

3.3

3.5

3.7

Baseline Post-Intervention

V02 M

ax (L

l/min

)

Time

Intervention Group

Control Group

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2300

2500

2700

2900

3100

3300

3500

Baseline Post-Intervention

MET

PA

min

utes

per

wee

k

Time

Intervention Group

Control Group

group’s MET’ per week decreased over the duration of the intervention. A

mixed design ANOVA captured a non-significant group (intervention/control) x

time (T0/T1) for total MET-minutes per week of PA (P<.920, η2p=.0001) (see

Figure 4.5). Post-hoc power analysis revealed total MET-minutes per week of

PA was underpowered (1-β=.0521).

Figure 4.5: Interaction Effect from Intervention and Control Group on MET’ PA per week. Standard Error is Displayed.

Does CTG improve vigorous MET minutes PA per week?

Vigorous PA MET’ per week improved in the intervention group and in

the control group over time. A mixed design ANOVA captured a non-

significant group (intervention/control) x time (T0/T1) for total MET-minutes per

week of vigorous PA (P<.942, η2p=.0001) (see Figure 4.6). Post-hoc power

analysis revealed total MET-minutes per week of vigorous PA was

underpowered (1-β=.0521).

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900

1000

1100

1200

1300

1400

1500

1600

1700

1800

Baseline Post-Intervention

MET

vig

orou

s PA

min

utes

per

w

eek

Time

Intervention Group

Control Group

200

300

400

500

600

700

800

Baseline Post-Intervention

MET

Mod

erat

e PA

min

utes

per

w

eek

Time

Intervention Group

Control Group

Figure 4.6: Interaction Effect from Intervention and Control Group on MET’ Vigorous PA per week. Standard Error is Displayed.

Does CTG improve moderate MET minutes PA per week?

Moderate PA MET’ per week decreased in both groups over time. A

mixed design ANOVA captured a non-significant group (intervention/control) x

time (T0/T1) interaction for total MET-minutes per week of moderate PA

(P<.989, η2p=.0001) (see Figure 4.7). However, this was underpowered (1-

β=.0521).

Figure 4.7: Interaction Effect from Intervention and Control Group on MET’ Moderate PA per week.

Does CTG improve walking MET minutes per week?

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650

700

750

800

850

900

950

1000

1050

1100

Baseline Post-Intervention

MET

wal

king

min

utes

per

wee

k

Time

Intervention Group

Control Group

Walking MET’ per week marginally decreased in both groups over time.

A mixed design ANOVA captured a non-significant group (intervention/control)

x time (T0/T1) for total MET-minutes per week of walking (P<.888, η2p=.0001)

(see Figure 4.8). Post-hoc power analysis revealed total MET-minutes per

week of moderate PA was underpowered (1-β=.0521).

Figure 4.8: Interaction Effect from Intervention and Control Group on MET’ Walking per week. Standard Error is Displayed.

Does CTG influence PA behaviour over time?

Participation in workplace team sport did significantly improve

participation in accumulative week-by-week PA measured when measured by

self-reported diaries. A mixed design ANOVA revealed a significant difference

group (intervention/control) x time (weeks 1-12) interaction (P<.002, η2p=.071)

(see Figure 4.9). The intervention group participated in significantly (P<.006)

more PA per-week than the control group (154.74 minutes) (95% CI 47.36-

261.85). Further, a series of univariate ANOVA’s indicates no significant

difference between the groups at week 1-3 (P>.05), significant positive

differences towards the team sport group between weeks 4 (P<.003,

η2p=.175), 5, (P<.001, η2

p =.220), 6 (P<.001, η2p =.225), 7 (P<.0001, η2

p

=.284), 8 (P<.010, η2p =.135), and no significant differences between the

groups at weeks 9-12 (P>.05).

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Figure 4.9: Interaction Effect from Intervention and Control Group on week-by-week PA duration (minutes). Standard Error is Displayed.

Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week10

Week11

Week12

Intervention Group 624.64 665.07 586.78 807.14 711.25 735.25 670.53 633.1 481.42 502.96 586.96 451.42Control Group 677.5 580 470.25 409 431 447.25 398.25 363.75 444 429.5 510 439.25

330

430

530

630

730

830W

eek

PA d

urat

ion

(min

utes

)

Intervention Group

Control Group

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350

370

390

410

430

450

470

490

Baseline Post-Intervention

Sitti

ng m

inut

es p

er d

ay

Time

Intervention Group

Control Group

Does CTG influence sitting time?

Sitting time per day decreased in both groups over time. A mixed

design ANOVA captured a non-significant group (intervention/control) x time

(T0/T1) interaction for total time spent sitting per day (P<.367, η2p =.018) (see

Figure 4.10). Post-hoc power analysis revealed total time spent sitting per day

was underpowered (1-β=.451).

Figure 4.10: Interaction Effect from Intervention and Control Group on Sitting Time per day. Standard Error is Displayed.

Does CTG improve markers of individual health? (H3) Does CTG improve psychological wellbeing?

CTG did not improve significantly makers of psychological wellbeing.

While modest improvements were observed in the intervention group over

time on subjective vitality, quality of life, stress and occupational fatigue, these

changes remained non-significant. More specifically, a series of mixed design

ANOVAs did not capture any group (intervention/control) x time (T0/T1)

interactions for subjective vitality (P<.484, η2p =.011) (see Figure 4.11), quality

of life (P<.136, η2p =.048) (see Figure 4.12), stress (P<.260, η2

p =.027) (see

Figure 4.13) and occupational fatigue (P<.874, η2p =.001) (see Figure 4.14).

Moreover, post-hoc power analysis revealed that subjective vitality (1-β=.298),

stress (1-β=.617) and occupational fatigue (1-β=.071) were under-powered.

Quality of life was sufficiently powered (1-β=.861).

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60

62

64

66

68

70

72

74

76

78

80

Baseline Post-Intervention

Subj

ectiv

e w

ellb

eing

sco

re

Time

Intervention Group

Control Group

65

67

69

71

73

75

77

79

Baseline Post-Intervention

Qua

lity

of li

fe s

core

Time

Intervention Group

Control Group

Figure 4.11: Interaction Effect from Intervention and Control Group on Subjective Vitality. Standard Error is Displayed.

Figure 4.12: Interaction Effect from Intervention and Control Group on Quality of Life. Standard Error is Displayed.

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60

62

64

66

68

70

72

74

76

78

Baseline Post-Intervention

Stre

ss s

core

Time

Intervention Group

Control Group

60

65

70

75

80

85

Baseline Post-Intervention

Occ

upat

iona

l fat

igue

sco

re

Time

Intervention Group

Control Group

Figure 4.13: Interaction Effect from Intervention and Control Group on Stress. Standard Error is Displayed.

Figure 4.14: Interaction Effect from Intervention and Control Group on Occupational Fatigue. Standard Error is Displayed.

Does CTG reduce sickness absence or sickness presenteeism?

The data indicates sickness absence marginally increased over time in

both groups (see Figure 5.15).

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Figure 4.15: Interaction Effect from Intervention and Control Group on Sickness Absence. Standard Error is Displayed.

While, presenteeism decreased in the intervention group, and

increased in the control group over time (see Figure 5.16).

Figure 4.16: Interaction Effect from Intervention and Control Group on Sickness Presenteeism. Standard Error is Displayed.

These changes were however non-significant. A mixed design ANOVA

indicated no significant interactions between group (intervention/control) x

time T0/T1) on sickness absenteeism (P<.470, η2p =.011) and sickness

presenteeism (P<.443, η2p =.013). Post-hoc power analysis revealed that

0

2

4

6

8

10

Baseline Post-Intervention

Day

s at

tend

ing

wor

k ill

pas

t 3-

mon

ths

Time

Intervention Group

Control Group

0

0.2

0.4

0.6

0.8

1

1.2

1.4

Baseline Post-Intervention

Day

s ab

senc

e pa

st 3

-mon

ths

Time

Intervention Group

Control Group

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25.5

26

26.5

27

27.5

28

Baseline Post-Intervention

BM

I (kg

/m2 )

Time

Intervention Group

Control Group

sickness absence (1-β=.298) and sickness presenteeism (1-β=.343) were

under-powered.

Does CTG influence body composition?

Contrary to the hypothesis, participation in workplace team sport did

not significantly reduce body composition when compared to the control

group. The results however indicate team sport may have a protective effect

on body composition over a 12-week period. A mixed design ANOVA

confirmed a group (intervention/control) x time (T0/T1) interaction for mean

BMI (P<.012, η2p =.130) (see Figure 5.17).

Figure 4.17: Interaction Effect from Intervention and Control Group on BMI (kg/m2). Standard Error is Displayed.

A follow-up paired samples t-test observed a minor non-significant

(P<.203, d=.246) increase in BMI of .146±.593 kg/m2 (95% CI .0837-.3765) in

the intervention group. However, a significant (P<.008, d=.658) increase in

BMI of .920 kg/m2 (95% CI .2659-1.574) was observed in the control group.

Does CTG improve perceptions of physical and mental health?

Modest increases for physical health ratings were observed in the

intervention and control group. While decreases in mental health ratings were

noted in both groups. However, these observations remained non-significant

when tested. A mixed design ANOVA for each variable revealed a non-

significant group (intervention/control) x time (T0/T1) interaction for physical

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50

52

54

56

58

60

62

64

66

Baseline Post-Intervention

Phys

ical

hea

lth ra

ting

Time

Intervention Group

Control Group

53

58

63

68

73

Baseline Post-Intervention

Men

tal h

ealth

ratin

g

Time

Intervention Group

Control Group

health (P<.686, η2p =.004) (see Figure 4.18) and mental health (P<.873, η2

p

=.001) (see Figure 4.19) ratings respectively. Post-hoc power analysis

revealed that physical health ratings (1-β=.138) and sickness presenteeism

(1-β=.071) were under-powered.

Figure 4.18: Interaction Effect from Intervention and Control Group on Physical Health Ratings. Standard Error is Displayed.

Figure 4.19: Interaction Effect from Intervention and Control Group on Mental Health ratings. Standard Error is Displayed.

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58

59

60

61

62

63

64

65

66

Baseline Post-Intervention

Gro

up c

ohes

ion

scor

e

Time

Intervention Group

Control Group

Does CTG improve social group and organisational health outcomes over the short term (i.e., 12-weeks)? (H4)

Does CTG improve social group outcomes?

The intervention group improved on scores for group cohesion and

relationships with superiors. However, opposing the hypothesis participation

in CTG these interactions were non-significant. A series of mixed design

ANOVAs did not capture any group (intervention/control) x time (T0/T1)

interactions for group cohesion (P<.907 η2p =.0001) (see Figure 4.20),

relationships with superiors (P<.104, η2p =.056) (see Figure 4.21),

relationships with colleagues (P<.228, η2p =.031) (see Figure 4.22). However,

a significant interaction was identified on relationships with colleagues over

time only (P<.045, η2p=.085).

Figure 4.20: Interaction Effect from Intervention and Control Group on Group Cohesion. Standard Error is Displayed.

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46

48

50

52

54

56

58

60

62

Baseline Post-Intervention

Rea

ltion

ship

s w

ith s

uper

iors

sc

ore

Time

Intervention Group

Control Group

45

47

49

51

53

55

57

59

Baseline Post-Intervention

Rea

ltion

ship

s w

ith c

olle

ague

s sc

ore

Time

Intervention Group

Control Group

Figure 4.21: Interaction Effect from Intervention and Control Group on Relationships with Superiors. Standard Error is Displayed.

Figure 4.22: Interaction Effect from Intervention and Control Group on Relationships with Colleagues. Standard Error is Displayed.

Post-hoc power analysis revealed that group cohesion (1-β=.0521) and

relationships with colleagues (1-β=.679) were under-powered. Relationships

with superiors was sufficiently powered (1-β=.91).A mixed design ANOVA

detected a significant group x time interaction on communication (P<.042,

η2p=.087) (see Figure 4.23). A follow-up paired samples t-test observed a

non-significant improvement (P<.85, d=.337) of 3.0 in interpersonal

communication within workplace teams (95% CI -.446-6.446) in the

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72

73

74

75

76

77

78

79

80

81

Baseline Post-Intervention

Com

mun

icat

ion

scor

e

Time

Intervention Group

Control Group

73

74

75

76

77

78

79

80

81

Baseline Post-Intervention

Job

Satis

fact

ion

scor

e

Time

Intervention Group

Control Group

intervention group and a non-significant (P<.235, d=.274) decrease of 2.6

(95% CI -7.033-1.833) in the control group.

Figure 4.23: Interaction Effect from Intervention and Control Group on Communication. Standard Error is Displayed.

Does CTG improve organisational performance outcomes?

Individual and team job performance, and job satisfaction improved in

the intervention group, while work-engagement (vigour, dedication,

absorption) marginally decreased. However, these interactions were non-

significant when tested.

Figure 4.24: Interaction Effect from Intervention and Control Group on Job Satisfaction. Standard Error is Displayed.

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78

79

80

81

82

83

84

85

86

Baseline Post-Intervention

Job

perf

orm

ance

sco

re

Time

Intervention Group

Control Group

A series of mixed design ANOVAs captured non-significant group

(intervention/control) x time (T0/T1) interactions for job satisfaction (P<.884,

η2=.0001) (see Figure 4.24), job performance (P<.884, η2p =.0001) (see

Figure 4.25), team performance (P<.605, η2p =.006) (see Figure 4.26),

(P<.525, η2p =.009), work-engagement (vigour) (P<.525, η2

p =.009) (see

Figure 4.27), work-engagement (dedication) (P<.738, η2p =.002) (see Figure

4.28), work-engagement (absorption) (P<.381, η2p =.017) (see Figure 4.29)

and work-engagement (total score) (see Figure 4.30) scores respectively.

Post-hoc power analysis revealed that job satisfaction (1-β=.0521), job

performance (1-β=.0.183), team performance (1-β=.183), work-engagement

(vigour) (1-β=.252), work-engagement (dedication) (1-β=.093) and work-

engagement (absorption) (1-β=.43) were under-powered.

Figure 4.25: Interaction Effect from Intervention and Control Group on Job Performance. Standard Error is Displayed.

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62

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Baseline Post-Intervention

Team

per

form

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Intervention Group

Control Group

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Baseline Post-Intervention

Wor

k-en

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gor)

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Intervention Group

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Figure 4.26: Interaction Effect from Intervention and Control Group on Team Performance. Standard Error is Displayed.

Figure 4.27: Interaction Effect from Intervention and Control Group on Work-Engagement (Vigour). Standard Error is Displayed.

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65

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Baseline Post-Intervention

Wor

k-en

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dica

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sc

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Intervention Group

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Baseline Post-Intervention

Wor

k-en

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sorp

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Intervention Group

Control Group

Figure 4.28: Interaction Effect from Intervention and Control Group on Work-Engagement (Dedication). Standard Error is Displayed.

Figure 4.29: Interaction Effect from Intervention and Control Group on Work-Engagement (Absorption). Standard Error is Displayed.

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64

66

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Baseline Post-Intervention

Wor

k-en

gage

men

t (to

tal)

scor

e

Time

Intervention Group

Control Group

Figure 4.30: Interaction Effect from Intervention and Control Group on Work-Engagement (Total Score). Standard Error is Displayed.

Discussion This non-randomized (i.e., quasi-experimental) intervention study

examined the impact of participating in workplace team sport upon a primary

outcome of estimated VO2 Max and secondary outcomes of individual, social

group and organisational health. The study compared participation in team

sport to normal working practise.

Summary of findings Confirming the primary hypothesis (H1), a +10.32% increase in relative

VO2 Max was observed in the intervention group. This finding is consistent,

with other workplace team sport intervention studies (+5%, workplace soccer;

15-19%, PA programme incorporating team sport sessions) (Barene et al.,

2013, 2014b; Burn et al., 2017). Improvements in both absolute and relative

values indicate VO2 Max increased due positive changes in cardiorespiratory

fitness rather than a reduction in weight alone (Barene et al., 2013, 2014b;

Krustrup et al., 2010; Wenger & Bell, 1986). Prolonged exposure to high-

intensity PA (e.g., team sport) is known to contribute to improvements in

cardiorespiratory fitness (Barene et al., 2013, 2014b; Krustrup et al., 2010;

Wenger & Bell, 1986). A minor non-significant decrease in VO2 Max of 1.75%

was observed in the control group. Although this cannot be directly attributed

to the working practises of the control group, office based roles can contribute

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to the detraining of the cardiorespiratory system and reduce cardiac output

(Ekelund et al., 2016; Hamilton et al., 2008; Santos et al., 2013).

Observable increases in both group’s total MET minutes of PA

(+101.57 MET minutes in the intervention group), provides modest support for

the hypothesis (H2). While a mode-by-mode analysis of PA suggests the

groups did not differ on vigorous PA, moderate PA and walking MET minutes,

data collected from the self-reported diary indicates the intervention group

participated in significantly more PA on a weekly basis than the control group.

Sitting time decreased marginally over time in both groups. However, it should

be noted the IPAQ was statistically underpowered.

Partial support for the hypothesis (H3) is evidenced by a 3.5% increase

in BMI in the control group and minor .43% increase in BMI in the intervention

group despite no significant difference of BMI or PA observed at T0. A

protective effect may have been observed over time (Pavey, Peetersm

Gomersall & Brown, 2016; Sigel et al., 2009; Varela-Mato et al., 2017). These

findings are consistent with previous workplace team sport studies which

found reductions on body fat mass and body fat percentage over the short-

and long-term (Adams et al., 2016; Barene et al., 2013, 2014b; Burn et al.,

2017). Reduced markers of body composition such as weight loss, abdominal

adiposity and subcutaneous skinfolds are attributable to prolonged and

routine exposure to HIPA (Tremblay et al., 1990; Varela-Mato et al., 2017;

Warburton, Nicol & Bredin, 2006). While inconclusive, increases in BMI the

control group from T0 to T1 may be explained by a routine of sedentary

workplace practises (Eriksen et al., 2015; Hamilton et al., 2008).

Modest increases in subjective vitality, stress and occupational fatigue

scores provides partial support for the hypothesis (H3). A post-hoc power

analysis revealed the measures of subjective vitality, stress and occupational

fatigue were underpowered and therefore were unable to detect a significant

interaction. Quality of life was sufficiently powered. Findings indicate the

intervention group’s quality of life increased, while the control group’s quality

of life decreased over time. However, a small effect size indicates team sports

impact on quality of life is marginal. Given quality of life is subjective state

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which is perceived and contextualised differently by each participant, a larger

effect may be confounded by factors internal (e.g., salary, working practises)

and external to the workplace (e.g., personal relationships, lifestyle choices)

(Gill et al., 2013).

With regard to sickness absenteeism and presenteeism, the findings of

this study provide limited support for the hypothesis (H3). More specifically,

consistent with the findings of previous evidence (i.e., Adams et al., 2016;

Amlani & Munir, 2014) found limited evidence for PA’s impact on sickness

absence over the short-term (12-weeks). However, the measures of

absenteeism and presenteeism were unpowered and therefore unable to

detect a significant interaction.

The findings of this study provide partial support for the hypothesis

regarding rating of physical and mental health (H3). More specifically, ratings

of physical health improved over time, while ratings of mental health

decreased in the intervention group. Whilst findings regarding ratings of

physical activity are consistent with previous evidence (Thøgersen-Ntoumani

et al., 2014), the findings regarding mental health ratings contrast that of other

empirical studies which suggest PA has a positive impact on mental health

(Adie et al., 2008; Frederick & Ryan, 1993; Roessler & Bredah, 2006;

Thøgersen-Ntoumani et al., 2014). However, it should be noted these

measures were unpowered and therefore unable to detect a significant

interaction.

The findings of the current study provide the first empirical support for

several qualitative studies investigating the impact of team sport within a

workplace setting on social group health outcomes (Adams et al., 2016;

Joubert et al., 2010a, 2010b, 2011, 2012, 2013, 2014a, 2014b; Lee, 1991).

Confirming the hypothesis (H4), a 3% increase was observed in the

intervention group communication scores, while the control group’s

communication score decreased over time. Improvements in communication

may be explained by the time employees spent together participating in an

activity of common interest with shared goals (Joubert, 2012). It is likely

participation in team sport alleviated social and hierarchical communication

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barriers, increased interpersonal knowledge of colleagues and promoted

work-related conversations (Joubert et al., 2010, 2011 2014a).

Limited evidence is available to support the hypothesis (H4) regarding

interpersonal relationships and group cohesion. Relationships with

colleagues and superiors improved non-significantly over time in the

intervention group, while group cohesion decreased over time in both groups.

These findings are not consistent with the findings of previous qualitative

studies (e.g., Joubert et al., 2010a, 2010b, 2011, 2012, 2013, 2014a, 2014b;

Lee, 1991) which consistently demonstrate improvements in interpersonal

relationships and group cohesion. However, the employees in this study did

not exclusively participate with their day-to-day colleagues (work-team), rather

there ‘work group’ (see Cannon-Bowers, 2006; Salas et al., 1992) and

therefore the effect on working relationships, cohesion and team productivity

may have been confounded. Furthermore, measures of group cohesion and

relationships with colleagues were unpowered and therefore unable to detect

a significant interaction.

Participation in team sport was hypothesised to improve organisation

health outcomes over time. The organisational outcome measures in the

current study were not sufficiently powered to detect significant interactions.

Increases in job and team performance and job satisfaction provided partial

support for the hypothesis (H4). In contrast, the hypothesis (H4) was rejected

regarding work-engagement (i.e., absorption, dedication and satisfaction)

which did not improve over time. These findings, are contrasting to those of

Thøgersen-Ntoumani et al. (2014), Pichot et al. (2009) and Joubert (2011)

who found participation in workplace walking and team sport (e.g., netball,

cricket) respectively to positively influence workplace performance.

Consistent with previous evidence (Conn et al., 2009; van Berkel,

Proper, van Dam, Boot & Bongers, 2013) and rejecting the hypothesis, work-

engagement (absorption, dedication and vigour) decreased over time in both

groups. The evidence supporting the efficacy of workplace PA on work-

engagement is mixed (Conn et al., 2009). It may be that the addition of an

intervention (i.e., team sport) may not be sufficient enough to influence

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changes in a subjective state influenced by factors internal (e.g., workplace

pressure) and external (e.g., lifestyle demands) to the workplace (Bakker,

Albrecht & Leiter, 2011; van Berkel et al., 2013).

Limitations

Although non-randomized (quasi-experimental) designs are well-

established to be sufficiently robust in evaluating the efficacy of workplace

health promotion programmes at the initial stages, and may be preferred due

to feasibility, challenges practicality of conducting a controlled design (Des

Jarlais et al., 2004; Schelvis et al., 2015). (Des Jarlais et al., 2004; Schelvis

et al., 2015). To prevent contamination, care was taken to select two isolated

regional worksites.

However, given the absence of a RCT, causal assumptions cannot be

draw from the evidence presented (Craig et al., 2008). Although limitations

challenge the feasibility of RCTs within an organisational setting (see Des

Jarlais et al., 2004; Schelvis et al., 2015), future research should consider the

use of a cluster-design RCT due to their effectiveness in drawing causal

assumptions and due to the measurement of social-group health outcomes

(see Chapter 4) (Craig et al., 2008). Drawing definitive answers to research

questions is fundamental to translate knowledge to employers, policy makers

and practitioners implementing team sport within workplaces. To further

influence the creation of translatable data, future research should consider

investigating workplace team sport using a mixed-methods approach,

empirical research and comprehensive process evaluations designs (e.g., RE-

AIM framework).

A further limitation of the current study was its sample size. More

specifically, several secondary measures in Chapter 4 lacked the power to

detect a significant interaction and the assumptions required for a robust

mixed design ANOVA. Given the absence of a non-parametric option, mixed-

ANOVAs were conducted despite the violation of the assumptions. These

included; total MET-minutes per week of PA, vigorous PA, moderate PA,

walking, sitting time per day, subjective vitality, occupational fatigue, sickness

absence and presenteeism, physical and mental health ratings, group

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cohesion, relationships with colleagues, job and team performance, job

satisfaction and work-engagement (absorption, dedication, vigour). Although

ANOVAs are considered a robust design capable to analyse non-normally

distributed data (Schmider et al., 2010), future research should treat these

findings with caution. Future research, may consider replicating the design of

the current study, with a sample which is sufficient to detect a difference in

these outcomes.

A strength of this study is the use of validated measures to assess

individual, social group and organisational health outcomes. However, to

avoid dejecting employees from participation in CTG, anthropometric

measures of height and weight were adopted to estimate BMI. This approach

is well-established and used frequently in research (Caperchione et al., 2016;

O’Connell et al., 2015). However, the findings indicate participation in team

sport has a protective effect on BMI, and therefore body composition. The use

of skinfold measures, biomarkers (e.g., blood and lipid profiles), nutritional

intake and in-vivo examinations such as DEXA scanning may provide more

conclusive evidence of workplace team sports impact on soft tissues, fat and

bone mass and content (Ellis, 2000). The use of such measures would add to

the findings of Barene et al. (2013, 2014b) who also adopted this approach

when examining the efficacy of providing a workplace soccer programme to

female hospital employees.

Whilst the CST presents a statistical and ecological valid tool to assess

aerobic fitness within the of the workplace, and was adopted to avoid adding

additional logistic burden participation (i.e., traveling to a testing session

during or after working hours) (Bennett et al., 2015). It should be noted the

CST estimates VO2 Max, rather than providing an absolute measure of VO2

Max (Sykes & Roberts, 2004). If feasible, applied research may consider the

gold-standard of gas analysis, or testing within the workplace setting using a

validated protocol and portable metabolic pack. The adoption of an absolute

measure may be particularly important given sub-maximal estimations of VO2

Max may be confounded by factors such as motivation and subsequent

exercise effort (Buckley et al., 2004; Shepard, 1984). More specifically,

participants in the intervention group may be more motivated due to positive

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changes in health and PA behaviour and therefore exert greater effort during

testing (Buckley et al., 2004; Shepard, 1984). In contrast, control group

participants aware they are not receiving team sport, may be demotivated and

therefore exert less effort during testing (Buckley et al., 2004; Shepard, 1984).

Given the CST provides a prediction of VO2 Max based on effort, this

limitation has the capacity to confound the findings (Buckley et al., 2004;

Shepard, 1984).

Likewise, the measurement of PA could be strengthened. Self-reported

measures were adopted as objective measures were beyond the financial

scope of the current study. While, the self-reported measures used in the

current study have been validated (Connor et al., 2016; Mannocci et al.,

2010). Multiple measurement periods, using objective and validated

accelerometers such as the ActivPAL, GENEActiv and ActiGraph and the

gold-standard of double-labelled-water may be viable tools to better

understand workplace team sports impact on PA and sedentary behaviour

(Atkin et al., 2014).

Previous workplace team sport research has neglected the use of

validated measures of social group health (see Chapter 2; Brinkley et al.,

2017a). However, when tested within CTG (see Chapter 4), variables such as

relationships with colleagues and superiors, group cohesion and team

performance may have been confounded by sampling from the broader

organisation (Cannon-Bowers & Bowers, 2006). Despite working together,

participants may not have shared goals or interactions that influence cohesion

and relationships. A stratified sampling technique based upon the presence of

face-to-face working relationships and clustering individual workplace teams

into study arms may present more conclusive evidence regarding team sports

impact on social group outcomes.

Additionally, intensity was not objectively examined during the

intervention sessions. Heart rate monitoring during intervention sessions has

been used by Barene et al. (2013, 2014a, 2014b, 2016), as an effective

measure of intervention fidelity. However, during CTG, this was avoided to

reduce the likeness of dropouts. Volume of team sport participated in and

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attendance was recorded, and questions regarding perceptions of exertion

were asked during the process evaluation. However, it was thought biometric

monitoring for intensity may create an additional ‘unnatural’ obstacle for

participants considering participation in team sport. The uptake and

adherence of workplace PA interventions is low (Conn et al., 2009), therefore

this unnatural barrier to attendance was removed. Further, team sport was not

prescribed to participants at a given intensity (e.g., 75% of MHR), rather CTG

was an applied intervention and participants were playing as they naturally

would within a workplace setting. Therefore, monitoring heart rate, although

beneficial, may have led participants to alter the intensity during intervention

session and consequently confound the findings.

Further, objective data collected over the long-term on sickness data

(e.g., absence records), KPI’s (i.e., key performance indicators), productivity

(e.g., fiscal health), and using economic health evaluations may provide more

translatable and accurate data on the impact of workplace team sport on

organisational health (Stang et al., 2001). Given the importance of sickness

absence and presenteesim within government policy (see Black & Frost,

2011), a sufficiently powered longitudinal study may better examine team

sports impact on these organisational outcomes. Evaluating workplace PA

and indeed team sport through a health economics approach on markers of

productivity would provide a stronger more translatable case for employers

considering implementing PA or sport within their workplace (Drummond et

al., 2008).

Finally, the participant groups in CTG differed in average working hours

at T0. Likewise, while CTG was successful at recruiting female participants,

only 29% of the intervention group were female. While this figure is

proportionate to the number of females who work in the organisation (30%

reported in 2016 Annual Report) the groups did differ in gender. Therefore,

the study groups may not have been counterfactual. Given the absence of a

RCT design and these differences between the groups, the results may have

been confounded and caution should be applied when interpreting these

findings.

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Conclusion The current study examined the impact of a 12-week workplace team

sport intervention on individual, social group and organisational health

outcomes. Results indicate workplace team sport can improve aerobic fitness,

PA behaviour and interpersonal communication within teams. Furthermore, a

team sport programme may improve subjective vitality, quality of life, stress,

occupational fatigue scores, perceptions of physical health, relationships with

colleagues and superiors, and individual and team work performance, and

reduce sickness presentism over 12-weeks. These results suggest team sport

may be an effective and viable form of health promotion within a workplace

setting.

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Chapter 5 ‘Changing the Game’:

Process-Evaluation – Methods and

Findings (Study 4)

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Study 4

‘Changing the Game’: A RE-AIM Process-Evaluation – Methods and

Findings

Introduction An intervention (i.e., CTG; see Chapter 4) was developed to evaluate

the acceptability, efficacy and feasibility of providing a workplace team sport

programme on individual, social group and organisational health outcomes.

Whilst intervention studies are useful in exerting changes in outcomes

measures, they do not provide clarity in how changes in outcomes may have

occurred or how outcomes may have been influenced by individual and

organisational factors (Bauman & Nutbeam, 2013; Campbell et al., 2000;

Craig et al., 2008; Moore et al., 2015). Without a robust process evaluation,

little is known as to whether the intervention is acceptable or feasible, or

indeed translatable to a real-world setting (Bauman & Nutbeam, 2013;

Campbell et al., 2000; Craig et al., 2008; Moore et al., 2015; Saunders et al.,

2005). One method to evaluate workplace team sport is through the RE-AIM

framework (Gaglio et al., 2013; Glasgow, Klesges, Dzewaltowski & Estabrook,

2006; Harden et al., 2015).

RE-AIM translates evidence into real-world applications through

investigating the individual and organisational factors which influence the

reach, efficacy, adoption, implementation and maintenance of an intervention

study (Gaglio et al., 2013; Glasgow, Klesges, Dzewaltowski & Estabrook,

2006; Harden et al., 2015). Reach can be considered the total number of

individuals available to take part in a study; and the proportion of, and

characteristics of individuals willing to participate (Gaglio et al., 2013). Efficacy

is the impact of the study on key outcomes (e.g., health, psychological

wellbeing) (Gaglio et al., 2013). Adoption refers to the number of individuals

who engage in the intervention study either initially and/or across its duration

(Gaglio et al., 2013). The implementation of a study seeks to understand if the

intervention was conducted in accordance with the planned protocol, and the

reasons why this may or may not have been the case (Gaglio et al., 2013).

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Finally, the maintenance of an intervention study can be considered as the

degree to which the intervention has been adopted beyond the end of the

study period or the potential to be adopted, within the routine, structure or

practices of an organisation (Gaglio et al., 2013). A robust RE-AIM evaluation

seeks to comprehensively explore the causality and mechanisms

underpinning each outcome (Gaglio et al., 2013). Previous systematic reviews

conclude that the RE-AIM framework is a robust and reliable tool to evaluate

and translate health promotion interventions and programmes (Harden et al.,

2015).

Therefore, a RE-AIM process evaluation was conducted alongside the

intervention study. This was conducted using a range of quantitative and

qualitative methods, as per the recommendations of the MRC (Craig et al.,

2008). Evaluating health promotion programmes through the triangulation of a

range of data sources is considered a robust form of investigation (Bauman &

Nutbeam, 2013; Campbell et al., 2000; Craig et al., 2008; Moore et al., 2015).

Study Aims The aim of this study was to evaluate a workplace team sport

programme (i.e., CTG; see Chapter 4) using the RE-AIM framework and a

mixed methods approach. The objectives of this evaluation have been

previously detailed in Chapter 4.

Methods

Programme overview The current study evaluated the ‘CTG’ (i.e., CTG) programme (see

Chapter 4; Brinkley et al., 2017c). CTG was a 12-week team sport programme

available to employees of a UK based FTSE 100 services organisation. This

organisation’s workforce consisted of 5080 UK based employees. Two

regional worksites (130km apart) took part in this non-randomized intervention

study (A detailed study description is reported in Chapter 4). CTG consisted of

weekly one-hour lunchtime sessions of rounders (weeks 1&7), netball (weeks

2&8), basketball (weeks 3&9), soccer (weeks 4&10), cricket (weeks 5&11)

and handball (weeks 6&12). CTG was conducted in an indoor sports hall (30 x

18 metres) located 400 metres from the participating organisation. A 10-

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minute warm-up and familiarisation period was followed by a 40-minute game

(breaks given when requested by participants). The sessions were led by two

female workplace champions. CTG was underpinned by SDT (Deci & Ryan,

2000). Ethical approval was granted by Loughborough University’s Human

Participants Sub-Committee (see proposal number R16-P069). The

participating organisation provided approval for this study to take place. The

study conforms to, and was conducted in accordance to, the Declaration of

Helsinki.

Participants Participant recruitment

A small number of participants involved in the main study took part in

the process evaluation. Prior to the implementation of CTG, five participants

recruited through purposive sampling (see Patton, 2002) took part in focus

groups (n=5). For the purposes of the pre-programme focus group,

employees representing a broad range of demographics who were

considering participating in CTG were recruited. Following the end of the

intervention, ten participants from the intervention group took part in semi-

structured interviews and five participants from the control group took part in a

focus group. The two workplace champions who delivered the intervention

were also interviewed at the end of the intervention. Finally, 17 participants

from the intervention group completed a short process evaluation

questionnaire. Employees from a broad range of office based roles, positions

of superiority and departments within the organisation were represented (see

Chapter 4). An overview of participation in the process evaluation, and the

RE-AIM dimension addressed is provided in Table 5.4

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Measures Qualitative data (reach, efficacy, implementation, maintenance)

Research diary

During the intervention, the researcher1, who attended all the CTG

team sports sessions as an observer kept a paper-based diary to record

contextual information relating to the efficacy (e.g., did participants

communicate; was there more cohesion in the group?) and implementation

(e.g., was the programme being implemented as planned by workplace

champions; did participants report any barriers) of the programme (Brannan &

Oultram, 2012). Through the ethnographic position of ‘observer as participant’

(minimum social engagement) (Gold, 1958), the researcher recorded

contextual information regarding participation, and conducted interviews with

participants following intervention sessions (Sparkes and Smith, 2014).

Following each intervention session, a detailed reflective account was

recalled. Each account was labelled with the respective time and date.

Throughout the duration of the intervention, 31 diary entries were recorded.

The use of research diaries and field notes are becoming more prominent

when evaluating health promotion programmes (Lewin, Glenton & Oxman,

2009). Research diaries are an established and valid form of qualitative data

collection (Brannan & Oultram, 2012; Sparkes & Smith, 2014).

Follow-up interviews

Following participation in CTG, participants and workplace champions

were invited to take part in a semi-structured interview. These interviews

explored the reach, efficacy, implementation and maintenance of CTG. Semi-

structured interviews are a frequently used, effective and trustworthy form of

data collection (Alvesson & Ashcraft, 2012). More specifically, interviews with

a sub-sample of participants (n=11) focused on the reach (e.g., ‘how did you

find out about CTG?’), efficacy (e.g., ‘how did participation in CTG benefit

you?’), implementation (e.g., ‘what prevented you from attending the

programme?’) and maintenance (e.g., ‘are you still participating in team sport

now the programme has finished?’) of the programme. Topics discussed

included (i) perceptions of CTG, (ii) benefits of participation, (iii) motivation for

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participation, (iv) facilitators and obstacles to participation, (v) perceptions of

CTG sessions and sport, and (vi) closing statements and questions.

Semi-structured interviews with both (n=2) workplace champions

explored the efficacy (e.g., ‘did CTG benefit you as a workplace champion?’),

adoption (e.g., ‘do you believe the company adopted CTG or helped you lead

the programme effectively?’), implementation (e.g., ‘how did you help your

colleagues during each of the sessions?’) and the potential maintenance (e.g.,

‘do you see the programme continuing over the long-term?’) of the

programme. Topics discussed included (i) perceptions of CTG, (ii) benefits of

participation for champions, (iii) motivation for delivering CTG, (iv) facilitators

and obstacles to delivery, (v) perceptions of CTG sessions and sport, and (vi)

closing statements and questions. Interview schedules are provided in Table

5.1 (i.e., CTG participants) and 5.2 (i.e., CTG champions). The interviews

were recorded on a digital voice recorder (Olympus VN-7700) with the

knowledge and consent of participants in meeting rooms or offices at the

participating organisation. The interviews were conducted by the researcher1

trained in establishing rapport, active listening and encouraging discourse

(Alvesson & Ashcraft, 2012; Sparkes & Smith, 2014). The interviews lasted

between 37 and 60 minutes (M=48 minutes).

Focus group with the control group

Following the completion of the outcomes measures (T1), a focus

group was conducted with five participants (n=4 females) from the control

group. Focus groups are considered an effective and trustworthy form of data

collection (Kandola, 2012). The purpose of this focus group was to explore the

implementation and potential maintenance of CTG. More specifically, the

focus group with the control group clarified the extent to which the information

(e.g. facilitators and obstacles, perceptions of maintenance) provided by the

intervention were consistent across the organisation. Topics discussed

included (i) perceptions of the intervention, (ii) benefits of participation, (iii)

perceptions of workplace team sport, (iv) workplace team sport facilitators and

obstacles, and (v) closing statements and questions. An overview of the

topics covered is provided in Table 5.3.

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Table 5.1: Post Changing the Game Interview Schedule - Intervention Group Content Topics for discussion

What were your perceptions of the

intervention?

Did you enjoy it? – What did you enjoy? Did you dislike it? – What did you dislike?

Better or worse than participating alone?

Would you do something similar again?

What were the benefits of participation? Do you think it benefits you in any way? – Individual health benefits?

Did it benefit you as a group? – Did it benefit the team you work with?

Did you get to know your colleagues to a greater degree? Do you think it benefits your working life?

Has your physical activity participation changed over the 12-weeks?

Have you observed any changes in your workplace? What benefits can a company gain from having employees that regularly exercise or play sport?

What made you attend this programme? What motivated you to attend? (enablers)

Peers participation. Other people’s attitudes (peers/management)

Space/environment. Facilities. Time – before/during/after work

Communication strategy

What prevented or hindered your

participation in the programme?

What stopped you attending or was difficult when attending?

Peers participation. Culture. Other people’s attitudes (peers/management)

Space/environment. Facilities. Time – before/during/after work

Communication strategy

What was your experience of the

sessions like?

Is there anything you enjoyed? Is there anything you disliked?

Is there anything you would change?

How accessible were the sports? Were they easy to learn?

How was participation with your peers/ What were the perceptions of your colleagues who chose not to participate?

Were there enough sessions? Would less or more be better?

Closing Statements Overall do you think it had a positive/negative health benefits for the company or a worthwhile venture? Do you have any further thoughts on the idea?

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Table 5.2: Post Changing the Game Interview Schedule - Workplace Champions Content Topics for discussion

What were your perceptions of the

intervention?

Did you enjoy it? – What did you enjoy?

Did you dislike it? – What did you dislike?

Would you do something similar again?

What were the benefits of participation? Do you think it benefits you in any way? – Individual health benefits?

Did it benefit you as a group? – Did it benefit the team you work with?

Did you get to know your colleagues to a greater degree? Do you think it benefits your working life?

Has your physical activity participation changed over the 12-weeks?

Have you observed any changes in your workplace? What benefits can a company gain from having employees that regularly exercise or play sport?

What made you deliver this programme? What motivated you to deliver the programme? (enablers)

Peers participation. Other people’s attitudes (peers/management)

Space/environment. Facilities. Time – before/during/after work

Communication strategy

What enabled or help and prevented or

hindered your deliver of the programme?

What stopped you attending or was difficult when attending?

Peers participation. Culture. Other people’s attitudes (peers/management)

Space/environment. Facilities. Time – before/during/after work

Communication strategy

What was your experience of the

sessions like?

Is there anything you enjoyed? Is there anything you disliked?

Is there anything you would change?

How accessible were the sports? Were they easy to deliver?

How was delivering sport to your peers/ What were the perceptions of your colleagues who chose not to participate?

Were there enough sessions? Would less or more be better?

Closing Statements Overall do you think it had a positive/negative health benefits for the company or a worthwhile venture? Do you have any further thoughts on the idea?

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The focus group was recorded on a digital voice recorder (Olympus

VN-7700) with the knowledge and consent of participants. The focus group

was conducted in a meeting room at the participating organisation by the

researcher1 trained in establishing rapport, active listening and encouraging

discourse. The focus group was moderated by introducing open-ended topics

to participants (Kandola, 2012; Sparkes & Smith, 2014). The focus group was

steered to ensure all participants were given the opportunity to contribute

(Sparkes & Smith, 2014) and lasted 60 minutes.

Questionnaires (reach, efficacy, adoption, implementation, maintenance)

Open-ended questionnaire

A process evaluation questionnaire was designed to explore the reach,

efficacy, adoption, implementation and maintenance of the intervention, and

examine the impact of the intervention and its components of the theoretical

underpinnings of CTG. This self-report questionnaire was included within the

T1 outcome measures. This self-designed measure reflected the questions

asked during the pre-intervention focus group and post-intervention

interviews. More specifically, this open-ended measure explored the reach,

adoption, implementation and maintenance of the programme. Seven open-

ended items (e.g., ‘what motivated or enabled you to take part in the

programme?’) investigated a participant’s experience of CTG and the

implementation of the programme (see Appendix 6).

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Table 5.3: Post Changing the Game Focus Group Schedule - Control Group Content Topics for discussion

What were your perceptions of the

intervention?

Did you enjoy it? – What did you enjoy?

Did you dislike it? – What did you dislike?

Would you do something similar again?

What were the benefits of participation? Do you think it benefits you in any way? – Individual health benefits?

Did it benefit you as a group? – Did it benefit the team you work with?

Did you get to know your colleagues to a greater degree? Do you think it benefits your working life?

Has your physical activity participation changed over the 12-weeks?

Have you observed any changes in your workplace? What benefits can a company gain from having employees that regularly exercise or play sport?

What might make you attend workplace

team sport?

What might motivate you to attend a programme? (enablers)

Peers participation. Other people’s attitudes (peers/management)

Space/environment. Facilities. Time – before/during/after work

Communication strategy

What might enable or help and prevent or

hinder your deliver of the programme?

What might stop you attending or what might make it difficult when attending?

Peers participation.

Culture.

Other people’s attitudes (peers/management)

Space/environment.

Facilities.

Time – before/during/after work

Communication strategy

Closing Statements Overall do you think it could have a positive/negative health benefits for the company or a worthwhile venture? Do you have any further thoughts on the idea?

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Autonomy support

A modified version of the Sport Climate Questionnaire short-form

(SCQ) (Brickell, Chatzisarantis & Pretty, 2006) was used to assess the

autonomy support provided by workplace champions (see Appendix 6). The

SCQ uses six 7-point Likert scale items (“strongly disagree” to “strongly

agree”) to capture the degree in which workplace champions supported the

autonomy of their colleagues (e.g., ‘I felt my workplace champion provided me

with choices and options’?). During analysis, a mean score was calculated

and converted to a 0-100 score. Higher scores denote greater perceptions of

autonomy support. Past research has demonstrated the SCQ to have a

Cronbach Alpha score of .86 (Lim & Wang, 2009).

Basic psychological needs satisfaction

A modified version of the Basic Needs in Sport Scale (BNSSS) was

used to measure perceptions of basic psychological needs satisfaction (Ng &

Lonsdale & Hodge, 2011) (see Appendix 6). The BNSSS uses twenty 7-point

Likert scale items (“not at all true” to “very true”) to examine a participant’s

perceptions of competence (five items; ‘I was skilled at the sports I played’),

choice (four items; ‘In the sports I played, I had a say in how things were

done’), internal perceptions of the locus of causality (three items; ‘In the sports

I played, I felt I was perusing goals that were my own’), volition (three items; ‘I

felt I participated in the sports willingly’) and relatedness (five items; ‘I had a

close relationship with the people I played sport with’). A mean score was

calculated and converted to a 0-100 score during analysis. Higher scores

denote greater perceptions of autonomy (i.e., choice, internal causality,

volition), competence and relatedness. Past research has demonstrated a

Cronbach Alpha scores between .73 to .88 (Ng et al., 2011).

Subjective wellbeing

Perceptions of subjective wellbeing were assessed with the SVS

(Frederick & Ryan, 1993). The construction and psychometric properties of

the SVS are described in Chapter 4.

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Documentation (reach, adoption, implementation, maintenance) Reach was determined by the number of employees who expressed an

interest in participation the programme during the recruitment phase of CTG

(i.e., the total number emails, correspondents and responses returned by

employees expressing an interest in the programme). Reach was calculated

by dividing the total number responses by employees interested in the

programme by the number of employees who worked at the intervention

(n=1000) and control (n=500) worksites. Adoption of the programme was

assessed by an attendance register recorded at each intervention session.

Publicly available data from the participating organisation was also collected.

The implementation and maintenance of CTG was evaluated using data from

annual reports (2013-2017) and governance documents (i.e., data not

presented to protect the identification of the organisation)2. More specifically,

qualitative data collected from participants regarding implementation (i.e.,

organisation supports/does not support workplace) and maintenance (i.e.,

organisation funds health promotion opportunities) was evaluated against

messages from the organisation. The use of document analysis is a valid form

of data collection in organisational and health promotion research (Lee, 2012).

Outcome measures (efficacy) In accordance with the guidelines of the MRC (Craig et al., 2008;

Moore et al., 2015) and RE-AIM framework (Gaglio et al., 2013; Harden et al.,

2015), the efficacy of the programme was assessed using the outcome

measures collected between T0 and T1. These included measures of VO2

Max, PA behaviour; group interaction, communication and engagement;

psychological wellbeing; health; workplace experiences, and anthropometrics

(see Chapter 4 for a comprehensive overview).

2 Distinguishable data (e.g., direct quotes/data) from annual reports not presented to protect the identity of the participating organisation, and employer.

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Table 5.4: Details of process evaluation participation. Dimensions assessed based on participants Study outcome

measures (T0-T1)

(n = 27)

Process-evaluation

questionnaire (intervention

group) (T1) (n = 17)

Post-intervention

interviews (intervention

group) (n = 10)

Post-intervention

interviews (workplace

champions) (n = 2)

Post-intervention

focus group (control

group) (n = 5)

Dimensions

Reach X X X X

Adoption X X X X

Efficacy X X X X

Implementation X X X X

Maintenance X X X X

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Data management and analysis Quantitative data Quantitative data collected from participants (i.e., questionnaire data

T0-T1) were inputted into Microsoft Excel and converted into IBM SPSS

(version 23). P<.05 was considered statistically significant and all analysis

was conducted using SPSS. Prior to analysis, all questionnaire data were

converted to 0-100 scores, whereby a higher score denotes a positive

outcome (e.g., higher perceptions of autonomy support). Data were screened

for data entry error against the raw data collected from participants. All data

were screened for missing data, and outliers in the form of data entry error,

measurement error or values which proved to be genuine. Data treatment for

outcome measures assessing ‘efficacy’ is described in Chapter 4. In the case

of data collected post-intervention (i.e., questionnaires), data were treated

with within-person mean substitutions of the missing value.

Weekly intervention session attendance data were assessed for

normality using a Shapiro-Wilk test, homogeneity of variance using Levene’s

test, and for homogeneity of variance using Box’s test. Weekly attendance

data were normally distributed and had homogeneity of variance. Data

assessments for demographic data of participants is descripted in Chapter 4.

Descriptive statistics (M±SD) were computed for all variables. Week by

week sports session attendance was examined using a series of one-way

ANOVAs. Independent samples t-tests were used post-hoc. Standard linear

multiple regressions examined if participation in an autonomy supportive team

sport programme predicted changes in participants’ basic psychological

needs and subjective wellbeing. Bivariate Pearson correlations were

conducted on autonomy support and basic psychological needs scores to

examine if an autonomy supportive team sport programmes predicts

autonomy, competence and relatedness. The assumptions associated with

multiple regression were met for autonomy support and basic psychological

needs variables (no influencing multivariate outliers or leverage points, data

met the assumptions for normality, homoscedasticity, linearity,

multicollinearity). The data representing wellbeing did not have independence

of observations and was removed from multivariate analysis.

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Qualitative data Interviews and focus groups were transcribed verbatim. A template

analysis (see Brooks et al., 2015) collectively incorporating data collected

interviews, focus groups, questionnaire and diary data was undertaken using

QSR International NVivo version 11. Priori themes (e.g., reach, efficacy,

adoption, implementation, maintenance, facilitators and obstacles to

attendance, supporting basic psychological needs and autonomy support)

were based on previous research (see Brinkley et al., 2017a, 2017b; see

Chapters 1-4). Codes were attached to priori themes where appropriate.

Failure to attach a code, led to a new theme being developed. Once

completed, a template was produced (see Table 5.5). The template was

revised, until it reflected the complete data set. All members of the research

team gave their consensus on the data by reviewing the identified themes.

RE-AIM dimensional rating RE-AIM dimensions (reach, efficacy, adoption, implementation,

maintenance) were evaluated through triangulating the quantitative and

qualitative data collected. Each dimension was rated on its applicability (i.e.,

the extent to which the collected data could accurately assess the dimension)

and outcome (i.e., positive or negative outcome based on the data collected)

(1 = limited success, 2 = moderate success, 3 = highly successful) (Koorts &

Gillison, 2015). A dimensional rating was determined by adding the

applicability and outcomes scores and then dividing by two. A schematic

overview of the findings is provided in Figure 5.4.

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Table 5.5: Changing the Game Process Evaluation Template Analysis

RE-AIM Dimension Theme Sub-Theme

Reach Communication and recruitment Communication methods

Challenges to recruitment Lack of communication (occupational

health & managers and superiors)

Efficacy Behaviour change Physical activity behaviour

Psychological wellbeing Respite from stress

Disassociation from work

Perceptions of physical health Observations in physical fitness

Perceptions of weight loss

Cohesion and communication Improved cohesion

Open communication

Functional relationships Developing and maintaining relationships

Networks and productivity Shared knowledge

Productivity Concentration and focus

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Table 5.5 continued: Changing the Game Process Evaluation Template Analysis continued

RE-AIM Dimension Theme Sub-Theme

Adoption Obstacles to attendance Intrapersonal obstacles

Interpersonal obstacles

Organisational obstacles

Facilitators to attendance Intrapersonal facilitators

Interpersonal facilitators

Organisational facilitators

Environmental facilitators

Implementation Supporting basic psychological needs Autonomy

Competence

Relatedness

Autonomy supportive champions Provision of support

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Table 5.5: Changing the Game Process Evaluation Template Analysis continued

RE-AIM Dimension Theme Sub-Theme

Maintenance Challenges to the long-term maintenance

of workplace team sport

Communication

Culture

Funding

Leadership

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Findings

Participants Five participants (n = 2 females) (46.80±12.43) participated in the pre-

intervention focus group. Ten participants (n = 2 females) (42.40±10.17)

participated in the semi-structured interviews. Both workplace champions

aged 31 and 36 years participated in individual interviews. Five participants

from the control group (43±14.81) (n = 4 females) participated in the focus

group. Seventeen participants (40.35±9.57) (n = 4 females) completed the

process evaluation questionnaire. A broad range of office based roles,

positions of superiority and departments within the organisation were

represented. All participants worked within a team. A detailed overview of

participant demographics is provided in Chapter 4.

Reach The reach of CTG had limited success (‘dimensional outcome’ = limited

success + ‘dimensional applicability’ = limited success = (1+1)/2=1 ‘limited

success). CTG reached 448 participants of the estimated 1500 employees

working at the intervention and control worksites (29.86%). Male employees

(n=332) were more likely to respond than female employees (n=116) (26% of

the 448 employees who responded to recruitment communications were

female). This data is consistent with the proportion of females who work in the

participating organisation (i.e., 30% reported in 2016 Annual Report).

Demographics such as age, job role and department were not collected

during recruitment.

Challenges to recruitment

However, it appeared the programme had not been effectively

communicated by the organisation or management teams to either the

intervention or control worksites prior to the programme commencing:

‘People were asking, what are you doing, what’s with this sport thing?

How do you get involved in the sports challenge? There were a number

of people who hadn’t heard about it. The company could have helped

sell it more. It wasn’t sold very well around the workplace [male team

manager aged 47, CTG participant]’

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Figure 5.1: Schematic Overview of Process-Evaluation Findings.

5080 UK based employees. 1500 employees on intervention (n=1000) and control (n=500) sites

Reach (less successful)

448 Employees (29.86% intervention/control sites)

Challenges to programme reach

- Lack of communication (occupational health) - Lack of communication from team managers

Efficacy (highly successful)

Individual health

- Improved VO2 Max - Positive influence PA and health

behaviour - Protects from BMI increases - Reduced stress

Social group health

- Improved communication - Hierarchical and organisational

barriers removed - Improved cohesion - Improved knowledge of peers - Networking

Organisational health

- Transferable skills from sport - Healthy workplace - Improved productivity

Challenges to adoption

- Job demands - Workplace culture - Lack of support from colleagues,

managers, and organisation - Lack of organisational ‘buy in’

Maintenance (moderately successful)

Physical activity participated in post-programme.

- Squash (3.7%), Running (11.1%), Gym (7.4%), football (22.2%) - Activities participated in during lunch-breaks - 44.5% of participants continued with activities outside working hours. - 7.4% of participants walk or cycle to work post-programme.

Challenges to long-term maintenance

- Communication of health promotion - Workplace culture - Funding - Lack of leadership

Implementation (highly successful)

- Autonomy support (60.53±15.05) - Autonomy (choice) (71.38±14.05), (internal perceived locus of caus

(volition) (94.6±7.37) - Competence (74.74±12.15) - Relatedness (76.40±11.30) - Basic needs scores predicted by autonomy support (F(5, 22) = 2.857

Adoption (moderately successful)

- Attendance (total) (48.13%) - Adjusted attendance (56.42%)

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Efficacy The efficacy of CTG was highly successful. More specifically, efficacy

was rated highly on both dimensional outcomes and applicability ((3+3)/2=3).

Participation in CTG significantly improved VO2 Max and interpersonal

communication (Brinkley et al., 2017c; see Chapter 4). Participation in CTG

also positively influenced PA behaviour, and protected from significant

increases in BMI (Brinkley et al., 2017c; see Chapter 4). Qualitative data

indicates CTG may have further benefits for individual, social group and

organisational health.

Individual health Behaviour change

During individual interviews, participants described how their PA

behaviour had been influenced by participation in CTG. For example,

participation in CTG appeared to have the capacity to develop perceptions of

competence and improve self-efficacy for participation in leisure-time PA.

Moreover, participation in the intervention may provide identified motivational

regulations for sport and exercise:

‘It is the sport and what that has enabled me to do since. I’ve now been

going out for walks and doing more, whereas before I just use to sit in

front of the TV or do the minimum. Sport gave me the confidence that I

am able to do this. I have got the confidence to go out and enjoy myself

and forget other people [Female team manager aged 50, CTG

participant]’

Participation in CTG appeared to positively influence perception of

competence and relatedness. More specifically, markers of basic

psychological needs associated with controlled forms of autonomous

motivation (i.e., identified and integrated regulation) were reported by

participants. Therefore, CTG may have provided an activity to reengage with

sport:

‘It gives you an intro to sport, it helped me take up sport in my spare

time. I enjoyed it and because of this I have taken up cricket outside

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work where one of my mates plays for a cricket club on a regular basis

[Male advisor aged 41, CTG participant]’

These reports are consistent with outcome measure data, and the

reports of participants in the post-programme questionnaire. The intervention

group participated in more MET minutes of total and vigorous PA, and spend

less time sitting from T0 to T1 (see Chapter 4).

Awareness of health

Participation in CTG was also reported to influence perceptions of

personal health. Participants suggested their participation in CTG had

increased their awareness of their personal health in the workplace (e.g., time

spent sitting), the time available for participation in PA and the impact of their

lifestyle upon their health. In many cases, these factors influenced the

adoption of identified motivational regulations for health behaviour change:

‘It made me realise quite how unfit I was, and the programme led me to

taking the worst excesses out of my life. It was a catalyst for getting a

bit more exercise. So yes, it contributed as part of a long-term change

[Male project manager aged 39, CTG participant]’

Psychological wellbeing

Participation in CTG may have the capacity to positively influence

mental health and wellbeing. For example, several participants described an

association between their participation in CTG and reduced personal and

workplace stress. CTG perhaps provided participants an outlet and respite

from lifestyle and workplace issues contributing to stress:

‘I feel better. I am going through a lot of personal issues in my life at

the moment. So, for me it was also a chance to get some tension relief

by actually doing some physical exercise, some running around. It was

a complete break from work, so turning off your brain from focusing on

a PC screen and doing something that is completely different. It is a

chance to totally forget about it, and do something that is releasing

endorphins within the body, I don’t know what ever sport does for you

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that makes you feel better, because I do feel better after playing sport.

[Male IT analyst aged 44, CTG participant]’

Participation in CTG also provided several participants an activity to

disassociate from workplace stressors and issues:

‘Even though you tell yourself to step away from that situation when

you get stressed and go do something else. Well in reality you tell

yourself this but you really just say ok, well I will do a bit more, and

before you realise you have gone and got more stressed. So, with this

programme, you’ve got to stop now and you’ve got to go do it. So, I

think that’s the good thing about it, it forces you to actually step away

from the office. [Male team manager aged 47, CTG participant]’

The study’s outcome measure data provides some support for these

interpretations. Whilst these results were non-significant, it should be noted

markers of the intervention groups subjective wellbeing and quality of life

increased over time, while markers of stress decreased over the duration of

the programme (see Chapter 4).

Perceptions of physical health

Data collected from the study’s outcome measures indicates

participation in CTG has the capacity to contribute to significant adaptations in

aerobic capacity (i.e., VO2 Max), whilst offering significant protection from

increases to BMI (see Chapter 4). The reports of participant’s post-

intervention reflect these adaptations. More specifically, participants observed

positive changes in their physical fitness and body mass. Several participants

appear to ‘benchmark’ their fitness with tangible activities such as climbing the

stairs or their performance in the intervention sessions. For example, several

participants observed these positive adaptations in their physical fitness:

‘It was clear for me my fitness had improved. When we came back to

work, and I was walking up and down the stairs, because I am on the

fifth floor. It just got easier to do that, I thought I actually can just go up

the stairs, rather than take the lift. I was like I still have the energy and

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the more I did the better I felt [Male technical expert aged 50, CTG

participant]’

Interestingly some participants reported observing reductions in body

mass throughout the duration of the programme:

‘I have lost a massive amount of weight. I can fit into trousers that I

haven’t worn for a few years and I had to tighten up a couple of

notches on the belt. I have lost a fair few pounds. [Male project

manager aged 39, CTG participant]’

Social group health Cohesion and communication

Participation in CTG was reported to develop cohesion and promote

communication within the workplace. Participants and workplace champions

explained how their attendance had improved cohesion with their fellow

participants and influenced the style in which they communicate:

‘In reality, you don’t know many people in the business or even your

team for that matter. So, you get to meet new people obviously through

the sport. When I see them in the lift, I have a chat with them, or when I

see them in the queue for lunch. So, it’s really helped from a social

engagement perspective [Male advisor aged 24, CTG participant]’

A cohesive environment appeared to influence interpersonal

communication. Participants and champions described learning more about

their colleagues’ preferences, personal-life, personality and job role while

participating in CTG. Improved cohesion and interpersonal relationships may

have improved, and contributed to the adoption of open communication:

‘I definitely believe that it opens up channels of communication within

the organisation that you wouldn’t necessarily have or have been able

to have used. So, in the past, if I had an issue I would have never

normally have approached Sarah [CTG participant], I had no idea what

she does, but now all of a sudden, I know which floor she is based, so

if I have something I am not certain of I might go and hunt her down

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and ask her. I have a familiar face in that part of the organisation,

which I wouldn’t have had if I hadn’t gone and played team sport [Male

team manager aged 47, CTG participant]’

Indeed, data collected from outcome measures indicates participation

in CTG improved group cohesion and significantly improved communication in

the workplace (see Chapter 4).

Functional relationships

CTG was reported to improve interpersonal relationships within the

workplace. Participation provided an environment whereby colleagues and

superiors could interact without the logistical (e.g., differing offices and

departments) and hierarchical (e.g., differing levels of superiority) constraints

present within the workplace. A cohesive environment which promoted open

communication was reported to contribute to improved interpersonal

relationships within the workplace.

For example, several participants explained how their participation in

CTG had developed interpersonal relationships with colleagues they had not

met prior to the programme commencing. Some participants explained how

the social interactions associated with team sport developed sustainable

relationships in the workplace:

‘When you are playing sport, you don’t have conversations about work.

You are not there to talk about anything really. But you are building a

relationship through working together. So, I am going to pass the ball to

you or I am going to congratulate you for getting that shot away, or you

say sorry when you bump into someone. Those little interactions mean

a lot by the end of it. So, you build up little things like that with each

other, which then you can talk about when you are back at work. They

seem more long-lasting [Female senior advisor aged 25, CTG

participant]’

CTG also contributed to maintaining existing relationships within the

workplace. For example, several participants suggested participation in CTG

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offered an opportunity for face-to-face social interactions with distant

colleagues, which in turn maintained their interpersonal relationships:

‘I think it always helps to speak to someone face-to-face. It really helps

your relationship with them, when you see them face-to-face there is

more of a human element, it’s easier to see their reaction face-to-face.

So, I think the programme has really helped develop those

relationships. Because although we are all in the same building, we are

on different floors, and you go days without seeing certain people, and

that’s how barriers get created. This programme has really helped

break down those barriers with my colleagues [Male lead planning

analyst aged 45, CTG participant]’

Networks and productivity

The improved presence of cohesion, open communication and

functional interpersonal relationships within the workplace were reported to

develop work-related outcomes such as networking and productivity. In terms

of productivity, some participants and champions had effectively used the

networks they had created during CTG within their role in the organisation:

‘So now I have a network of people including Gill in HR. She has

helped me on numerous occasions, because I thought I know her, I will

go and have a chat to her, and I did. There was also a guy, and we

were competitive with each other, I think I know who you mean, Tom,

and I have been to him on a number of occasions to help my team with

a fix that needs fixing. So, I didn’t know him before that, and I just

thought it didn’t matter what happened in the hall, as soon as we

finished from there, we were back to being a normal selves and we

didn’t hold grudges, no matter what happened in the hall [Female team

manager aged 50, CTG participant]’

Data collected through outcome measures indicate team performance

marginally improved, however non-significantly in the intervention group.

Organisational health Productivity

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Productivity was reported to improve following participation.

Improvements in individual productivity were attributed to the exertion

associated with team sport. More specifically, several participants found their

participation to improve their concentration and focus in the workplace:

‘Every Wednesday afternoon, I could really see a difference in my

concentration, I stayed even later Wednesday evening purely because

I had the energy to do that. It lifted the fog, because I was buzzing. I

know there is a hormone that gets released but I don’t know what that

is, but that was it, it was really helping [Female team manager aged 50,

CTG participant]’

Data collected through the study’s outcome measures reflects these

perceptions of improved productivity. With marginal increases in job

performance being observed in the intervention group.

Adoption The adoption of CTG was considered moderately successful. Adoption

was rated moderately on both dimensional outcomes and applicability

((2+2)/2=2). Twenty-seven of the 28 participants in the intervention group

attended at least one CTG session (no participants attended all CTG

sessions). Excluding the one participant who did not attend any intervention

sessions, the average attendance across the 27 participants was 48.13%.

The adjusted attendance rate for frequent nonattendance (<25% of

intervention sessions) (n=23 participants) was 56.42%. At least 75% of

participants (21 of 28 participants) completed all T1 outcome measures across

the study duration.

A series of one-way ANOVAs (see Figure 5.5) examined week-by-

week attendance. No significant differences were observed between weeks 1-

9 and weeks 11-12 (P>.05). A significant difference between participants was

observed at week 10, where participants played soccer (P<.037, η2=.276).

Post-hoc test reveal significantly (P<.037) less participants attended week 10.

Soccer was the least successful sport in weeks 4 and ten (34% attendance).

Basketball in week 3 and handball in week 10 were the most successful

sports with 67% attendance.

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A series of one-way ANOVAs were conducted across attendance and

demographic data. More specifically, females (49.95±22.20) were more likely

to attend than males (47.36±22.91). The attendance difference between

genders was non-significant (F(1,25) = .73, p= .789). Employees with

dependents (48.52±19.81) were more likely to attend than those without

(47.46±27.18). However, this was a non-significant difference (F(1,25) = .14,

p= .908) between those with and without dependents. Likewise, superiors

(40.70±32.07) were less likely to attend than employees without superiority

responsibilities (51.84±15.27). Despite a difference of 11.14 in attendance

percentage, this difference remained non-significant when examined (F(1,25)

= 1.529, p= .228).

Employees who were inactive (i.e., not meeting PA guidelines >150’

PA per-week) were more likely to attend (61±19.05) than minimal active

employees (i.e., meeting recommended guidelines of >150’ of PA per-week)

(50.48±23.84) and employees participating in health promoting levels of PA

(i.e., >300’ PA per-week) (36.90±16.56) (See Craig et al., 2003). Non-

significant differences were however identified between inactive employees

and minimally active employees (95% CI [-20.21, 41.24], t(18) = .719, p =

.482) and employees participating in health promoting levels of PA (95% CI [-

3.3, 51.50], t(8) = 2.028, p = .077). Likewise, there was a non-significant

difference between minimal active employees and employees participating in

health promoting levels of PA (95% CI -6.99, 34.16], t(22) = 1.369, p = .185).

Employees who were in full-time employment (i.e., >35 hours, <40

hours per week) (44.04±20.78) were less likely to participate than employees

working over-time (i.e., >40 hours per week) (52.53±23.87). However, the

differences between attendance was non-significant (F(1,25) = .976, p= .333).

Participants were categorised as young adults (i.e., 18-35 years), middle-aged

adults (i.e., 36-55 years) and old-aged adults (i.e., >55 years). Young adults

(53.78±20.87) were more likely to participate than middle-age adults

(44.97±23.70) and older adults (M=33.33). Non-significant differences were

identified between young-adults and middle-aged adults (95% CI [-9.67,

27.29], t(24) = .984, p = .335) and older adults (95% CI [-28.11, 69.02], t(10) =

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.938, p = .370). Likewise, there was a non-significant difference between

middle aged and older adults (95% CI -40.85, 64.14], t(14) = .476, p = .642).

Obstacles to attendance

The attendance of participants was challenged by interpersonal and

organisational factors. Despite sessions being conducted during lunch-breaks,

participants described how workplace demands challenged their participation:

‘Work gets in the way. There was always a meeting at eleven o’clock

which was supposed to finish at twelve, but it often carried on till ten

past, twenty past. I thought stuff it, and started walking down the stairs

while they were talking to me and got changed downstairs and said

look I’ve got to go now. I should have said I can’t do this, because I had

done my actions, I had my time to talk. But it is just not the done thing

to disappear [Male systems specialist aged 53, CTG participant]’

Despite CTG being supported by the board and senior management,

several participants believed the organisation did not provide enough support

for their attendance:

‘There is a lack of buy in from the organisation with things like this. I

think with the business it comes down from like the board and think

there is it well communicated, but when it is individual things like this,

they [colleagues and superiors] haven’t always done as well. I don’t

remember that much pushing or support from the organisation about it

[Team manager, male aged 47, CTG participant]’

A lack of support for CTG may be explained by the pressure placed on

downsizing the organisation through recent financial pressure:

‘There is not enough people doing most of the jobs, they slimed it all

down and restructured it. Everyone is so busy, so as soon as you throw

extra responsibilities in the mix, they commit thinking it is only twelve

weeks, it is only a short-term thing, and then actually that is a lot

[Finance manager, female aged 31 CTG champion]’

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Figure 5.2: Changing the Game attendance over 12-weeks. (WK = Week). Standard error bars are displayed.

-

10.00

20.00

30.00

40.00

50.00

60.00

70.00

80.00

Rounders(WK1)

Netball(WK2)

Basketball(WK3)

Soccer(WK4)

Cricket(WK5)

Handball(WK6)

Rounders(WK7)

Netball(WK8)

Basketball(WK9)

Soccer(WK10)

Cricket(WK11)

Handball(WK12)

Attendance Percentage % 56.00 63.00 67.00 34.00 37.00 41.00 48.00 34.00 37.00 34.00 63.00 67.00

Atte

ndan

ce P

erce

ntag

e

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Facilitators to attendance

Attendance at CTG was facilitated by intrapersonal, interpersonal,

organisational and environmental factors. From an intrapersonal perspective,

some participants commented their attendance was based on their enjoyment

of PA, motivation to improve personal health outcomes (e.g., weight, fitness,

behaviour) or willingness to develop within the organisation. In many cases,

participants reported an innate disposition and integrated motivational

regulation to participate in sport:

‘For me I loved it. Because I love sports. I have always been a sports

person, so for me that really helped me enjoy it [Male systems

specialist aged 53, CTG participant]’

Furthermore, acceptance from colleagues, social support, and more

importantly group membership were reported as facilitators to participation.

For many participants, the social support associated with participation allowed

them to negotiate the intrapersonal challenges they faced with participation:

‘it was such a social thing. I thought we really egged each other on. I

just thought it was a great bunch of people, we all fitted really well

together, we all mixed with each other. We are a team, encouraging

each other to play, the way we wanted. [Female team manager aged

50, CTG participant]’

In some cases, organisational factors such as the support of superiors

and colleagues were reported by participants to facilitate participation in CTG.

Participants reported their colleagues as supportive of their participation. For

example, participants commented on how factors associated with integrated

motivational regulations for participation such as their colleague’s inquiry,

interest and banter supported their participation in CTG:

‘[My colleagues] were very encouraging and supportive. I have made

no secrets that I want to improve my health over the next 12-months.

So, it was important for me that people knew, and that they were willing

to have a little bit of a laugh with me and a joke about the sports we

were doing. Like where was my netball skirt, that kind of thing, that

makes me laugh and it encourages me a bit more. Any problems or

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concerns, I was able to talk to them. [Male project manager aged 39,

CTG participant]’

In most cases, direct superiors (e.g., line managers) were reported as

supportive of participation. Participants suggested their superiors supported

their participation through promoting quality work over the quantity of work.

More specifically, superiors were reported to provide their employees trust

and autonomy to manage their own workload and time. This support allowed

employees time to participate in CTG:

‘He wants to make sure his team enjoys being at work and feel like

they are supported with stuff like this. He expects me to work at least

my contracted hours, however as long as I am working those hours

and I am producing the work, it doesn’t really matter one day if I take

an extra bit of time one day. He trusts me, and that trust gives me that

flexibility [Male advisor aged 24, CTG participant]’

Implementation The implementation of CTG can be categorised as highly successful.

Implementation was rated highly on its dimensional outcome and moderately

on its applicability (3+2/2=2.5).

CTG was underpinned by self-determination theory which proposes

that meeting basic psychological needs for autonomy, competence and

relatedness fosters optimal functioning, well-being and autonomous

motivation (Deci & Ryan, 2000a, 2000b). Thwarting these basic psychological

needs is known to lead to poor wellbeing and controlled forms of motivation

(Deci & Ryan, 2000a, 2000b). For example, providing sessions which do not

offer participants a choice and ownership (autonomy), sports which are not

adaptable or do not have transferable skills (competence), and an

environment which is not socially supportive (relatedness). CTG supported

basic psychological needs through an autonomy supportive leadership style

(see Chapter 4).

Autonomy support (workplace champions) A key component of CTG was the delivery of team sport. This was

conducted by two female workplace champions. The aim of this delivery was

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to create an AS environment. Prior to the programme commencing, both

workplace champions completed training delivered by the first author (i.e.,

education sessions covering; autonomous motivation, supporting basic

psychological needs and leading intervention sessions). This encouraged

workplace champions to adopt an autonomy supportive leadership style which

welcomed the thoughts and perspectives of participants, provided knowledge

to enable participation, and created a setting for self-directed participation.

Working together, both workplace champions led intervention sessions using

this autonomy supportive style:

‘I was making sure everybody was involved and people weren’t getting

left out and that people understood what they were going to have to do.

With football for example, people assume that everybody knows what

the rules are and how to kick a ball and stuff like that, and a lot of

people don’t and if you don’t watch it or you’ve never played it before

you’re not going to know how to kick a ball, you’re not going to know

what the rules are. It’s about making sure people know they are in a

safe environment and you know if that’s worked because they say

actually look I don’t get it Laura [Female business analyst aged 36,

CTG Champion]’

Subsequently, on the process evaluation questionnaire, high ratings of

autonomy support (i.e., over the mid-point of 50) as measured through the

SCQ, were reported by CTG participants (mean 60.53±15.05).

Autonomy Qualitative data reflects how workplace champions provided

participants the autonomy to contribute to the structure of the sessions:

‘She [workplace champion] offered us the choice on how we could

solve different numbers on each team, we decided that we would let

one person move up and down the pitch on one team in netball.

Because you can normally only move a quarter or a half? It helps

because sometimes someone is quite strong willed and strong minded,

they will try and fit the sport around their best needs, so they can win.

Having someone there independently helps to set up the sports, give

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you the rules, give you the equipment and off you go [Male systems

specialist aged 53, CTG participant]’

Offering a choice, provided volition and a sense of ownership to

participants. Participants explained how ownership and a choice influenced

markers of autonomous motivational regulation such as enjoyment and

internalised-control:

‘We never had a set game. We changed the rules as we were going

along. So, we had a time restricted innings rather than three strikes

and you are out, that kind of thing. Yeah, I think it worked well. It allows

us to own the rules as we are going along, there is a real sense of

ownership there. As far as changing the rules as we go along, that is

reflective of how I really enjoyed the sessions we did. It felt like we

owned it with a little bit of input or guidance from the [champions] [Male

project manager aged 39, CTG participant]’

Participants scored highly (mid-point 50) on markers of autonomy such

as choice (mean 71.38±14.02), internal perceived locus of causality (mean

80.43±13.66) and volition (mean 94.6.±7.37).

Competence

Data from the process evaluation questionnaire found that CTG

participants rated highly on basic psychological needs for sports competence

following participation in the programme (mean 74.74±12.15). The

intervention programme was designed to support needs for competence by

offering participants sports that could be adapted to their own rules, and which

required skills and traditions which were transferable between the sports,

such as catching in cricket and rounders, and similar spatial awareness skills

for soccer and handball (Deci & Ryan, 2000a, 2000b). During interviews,

participants described how the ease of learning sports through adaptions in

their rules, traditions and style of play supported needs for competence:

‘Yeah they were all very easy to learn I think. You have got to

appreciate that we are not there at the Olympics. So, do we have to

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follow every single rule, no, it is just a little bit of fun. So, in that, it

makes it easy to learn because you just need to know the basics really

[Female senior advisor aged 25, CTG participant]’

Some participants engaging in CTG had experiences of playing team

sport (e.g., football). For these participants, basic psychological needs for

competence were supported by the novelty of some sports played during

CTG. This facilitated identified motivational regulation to participate through

providing a new skill to master, an intensity to participate at or tactic to exploit:

‘Handball, I really enjoyed that if I’m honest. It was something

completely different, it was something I’ve never really tried before. So,

to try something different, and to take to it straight away. That was

really nice. One of the things I liked about it. It’s a simple game to play.

I think it might be because it is high intensity. I think the high intensity

could be the thing there, because you are really moving, you are really

pushing yourself [Male lead planning analyst aged 45, CTG

participant]’

Furthermore, the reports of participants indicate participation in CTG

offered an environment which supported needs for competence. Social

support and observing changes in personal skill, fitness and technical

proficiency appeared to foster needs for competence, and contribute to

optimal functioning and wellbeing. As a result, In many cases participants

reported integrated regulation to participate:

‘Day one, I wasn’t as puffed out as I was expecting, I had to stop a

couple of times, but I would have thought I would have had to stop a lot

more, and the team were great, you felt safe in that environment,

nobody was kind of like judging, which is what I am use too. The

champions have the patience, and also some of the guys would help

and say don’t do it that way, do it this way, and I think that helped,

particularly with football, because I was ok when I was walking, but as

soon as I had to run and had to lift my foot up and the ball came at

speed, it just went underneath my foot. That sort of gave me the

confidence that I can do it, I am still able to pick up stuff that I learnt

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when I was eleven or twelve. They want you to succeed, and I think

that is what maybe rubbed off, so I haven’t fell over, I’ve held my own,

I’ve done whatever I need to do and I felt on top of the world if you like

[Female team manager aged 50, CTG participant]’

Relatedness Relatedness was rated highly by CTG participants (mean

76.40±11.30). Supported needs for relatedness may be explained by the

qualitative data collected. In many cases, the relatedness provided by the

intervention provided integrated motivation to participate in sport. The CTG

intervention offered a form of PA where colleagues shared the organisational

challenges to PA within the workplace:

‘We all understand the pressures we are under, we all understand why

we are doing it [CTG], I think because the company approves it, it all

helps, because you all work under the same flow processes, you all

work in a similar way [Male systems specialist aged 53, CTG

participant]’

This sense of group identify was also described by participants to

promote group cohesion and provide encouragement to participate:

‘I found it really encouraging playing with these people. Because they

are there for the same reason as you, they want to get a bit fitter, so we

are there to encourage not to criticize, people are always different skill

levels to everybody else, so it’s just about encouraging them and

playing well together [Male technical expert aged 50, CTG participant]’

Participants explained that the cohesive group environment associated

with CTG could provide social support and promote self-efficacy to participate:

‘I am big lady and because I am unfit, I am fifty, I thought people would

judge and say I don’t want her on my team and that’s why I did say to a

few people I knew, don’t pick me last, and I am not that kind of person

normally, but that was going back to school, where it was a little bit like

that, but I didn’t feel any of that here. I felt as if, whatever team I was

on, I gave it my all, I couldn’t do anymore, and I encouraged other

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people and got encouragement from other people. They wanted me to

succeed and the team to succeed. Rather than looking after

themselves [Female team manager aged 50, CTG participant]’

Are basic psychological needs predicted by an autonomy supportive workplace team sport programme?

Descriptive statistics and Pearson correlations were computed

between SCQ and BNSSS scores (see Table 5.6). Autonomy support was

significantly correlated with competence (R=.354, p <.032), internal

perceptions of the locus of causality (R=.251, p <.014), volition (R=.568, p

<.001) and relatedness (R=.420, p <.013). Competence was significantly

correlated with choice (R=.839, p <.0001), internal perceptions of the locus of

causality (R=.802, p <.0001), volition (R=.527, p <.002) and relatedness

(R=.416, p <.014). Perceptions of choice were significantly correlated with

internal perceptions of the locus of causality (R=.641, p <.0001) and volition

(R=.494, p <.004). Internal perceptions of the locus of causality were

significantly correlated with volition (R=.579, p <.001) and relatedness

(R=.574, p <.001). Volition was significant correlated with relatedness

(R=.331, p <.043). AS and relatedness were not correlated with choice.

Standard multiple regression was conducted with autonomy support and basic

psychological needs (i.e., competence, choice, internal perceptions of the

locus of causality, volition and relatedness). Basic psychological needs scores

were significantly predicted by autonomy support (F(5, 22) = 2.857, p <.039. R2

= .394) (see Table 5.7). This analysis was sufficiently powered (1-β=.845).

Maintenance The maintenance of CTG was rated as moderately successful. More

specifically, maintenance was rated moderately on both dimensional

outcomes and applicability ((2+2)/2=2). Thirteen participants (44.5%)

continued with the leisure-time and workplace physical activity they were

participating in prior to CTG. Fourteen participants participated in additional

physical activity in their workplace or with their colleagues since completing

the CTG intervention programme. More specifically, since completing CTG

two participants had begun active commuting (7.4%), and during the working

week, two participants attended the gym at lunch (7.4%), six participants had

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taken up indoor football during lunch (22.2%), one participant had taken up

squash during lunch (3.7%) and three participants has started running during

lunch (11.1%). However, many participants identified challenges in

maintaining participation in team sport for the long-term. These included

communication, culture, funding and leadership within the organisation.

Communication and culture of health and wellbeing within the workplace

Health and wellbeing messages and programmes appear to have a low

reach due to the style and level of communication adopted by the

organisation. Participants described the importance of changing the culture

within the workplace. Despite pressure from the employer to implement novel

forms of workplace health promotion, a culture driven by health and safety

and high workplace demands challenged the maintenance of CTG:

‘I think quite often, if people are out there enjoying it then other people

want to get involved as well and it kind of has that effect. I think there

needs to be something or someone higher up that says there be no

meeting booked between this time and this time, because people don’t

have the time. I think we would struggle to change the way it is at the

minute [Senior advisor, female aged 25, CTG participant]’

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Table 5.6: Descriptive statistics and Pearson correlations for autonomy support, competence, choice (autonomy), internal

perceptions of the locus of causality (autonomy), volition (autonomy) and relatedness. *P<.05, **P<.01, ***P<.001.

Table 5.7: Summary of multiple regression analysis predicting autonomy support from autonomy support, competence, choice (autonomy), internal perceptions of the locus of causality (autonomy), volition (autonomy) and relatedness. *P<.05.

B SEB ß P

Constant -61.898 (-133.27, 9.4.80)

34.418 .086

Competence .212 (-.801, 1.224)

.488 .171 .669

Choice -.203 (-.898, .492)

.335 -.189 .551

Perceived internal locus of causality -.047 (-.786, .693)

.356 -.042 .897

Volition 1.043 (.163, 1.924)

.424 .511 .022*

Relatedness .342 (-.224, .908)

.273 .257 .223

M SD 1 2 3 4 5 1. Autonomy support 60.53 15.05 - 2. Competence 74.74 12.15 .354* - 3. Choice 71.38 14.02 .251 .839*** - 4. Perceived internal locus of causality 80.43 13.66 .417* .802*** .641*** - 5. Volition 94.61 7.37 .568*** .527** .494** .579*** - 6. Relatedness 76.40 11.30 .420* .416* .278 .574*** .331*

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Leadership of health and wellbeing within the workplace For the maintenance of CTG to be a success, participants frequently

commented upon the importance of a leader within the workplace to organise

and deliver sport to colleagues:

‘I really hope we are able to carry it on, that’s all I would like to say, and

I would like for it to happen within our organisation and it to be

supported by them, for them to find a champion and if they need

someone to step up I think you could choose any one of the people you

saw there and I think all of us could encourage more participation [Male

team manager aged 47, CTG participant]’

However, job demands and pressure from managers, challenged the

potential of some participants championing CTG over the long-term:

‘I just wish we could continue doing it. But you know if we haven’t got

somebody leading it, it won’t happen.

AB: Ok did you think you would help lead it?

‘I have not got enough time at the minute to lead it, but I would support

it. My boss has got me running ragged [Male technical expert aged 50,

CTG participant]’

Despite this, some participants and workplace champions suggested a

style in which workplace team sport could be managed within the workplace.

More specifically, sharing the demands of leadership, organisation,

communication and style of delivery of workplace team sport was suggested

to reduce the burden placed on an individual employee and moreover the

organisation, and occupational health teams:

‘I think we could change it. So, it is not the end of the world if people

don’t turn up providing the people who have the hall can still do

something, they can still have a game. So rather than it being

organised in a really structured way, it could just be a drop-in where

people can just turn up too. I’ve done that with team sport before. We

could do it as a forum, and it just happened every week and everyone

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would know it is there. [Female business analyst aged 36, CTG

Champion]’

Funding for health and wellbeing CTG was funded by the researcher’s university. This funding covered

the cost of the sports equipment, resources and time associated with

organisation, and the cost of hiring the sports hall. Participants acknowledged

that a financially supported programme influenced their participation:

‘I think if people had funded it themselves, you may have had less

interest, I think funding it gives people the chance to try it [Male lead

planning analyst aged 45, CTG participant]’

When the long-term maintenance of the programme was discussed

challenges relating to self-funding participation were highlighted. For example,

several participants commented on how their employer could use their

resources to fund their participation:

‘It is a multi-billion pound company, we are not talking about hundreds

of thousands of pounds or even thousands of pounds worth of

equipment, its less than hundred, we are talking about half a dozen

footballs, a couple of cricket sets, we are talking about something that

is significantly less outlet finically than my whole departments fund for

the Christmas party which is given to us. [Male advisor aged 41, CTG

participant]’

Discussion

Summary of findings Reach The CTG programme reached a modest percentage (29.86%) of the

intervention and control worksites. Previously, the reach of workplace team

sport studies has been poorly reported. Indeed, only Barene et al. (2013)

reported a reach of 19.25% for the eligible population. Interestingly, the reach

of workplace team sport appears to be less than other forms of group PA such

as activity challenges (32.24%) (Dishman, DeJoy, Wilson & Vandenberg,

2009). The 2016 and 2017 annual reports from the participating organisation

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consistently echoes the importance of participation in PA in the workplace.

However, recruitment communication for CTG was reported as being

ineffective by the participants in the process evaluation due to the

communication strategy within the organisation and lack of support by middle

management and team leaders (e.g., not offering direct support). Managers

and superiors are influential stakeholders in encouraging participation and

adherence to research studies and health promotion programmes (Brinkley et

al., 2017b; Caperchione et al., 2015; Gilson, McKenna & Cooke, 2008). CTG

participants may have been amotivated to participate due to negative social

comparisons with the behaviour of their superiors and managers or due to

workplace demands (Gilson et al., 2008; Teixeira et al., 2012).

Efficacy Quantitative and qualitative data collected from participants indicates

CTG had a high level of efficacy. The data presented is consistent with what

has been previously confirmed (see Chapters 2 & 4; Brinkley et al., 2017a,

2017c), in that participation in workplace team sport positively influences

individual, social group and organisational health outcomes.

Individual health outcomes

Consistent with the findings of other workplace PA programmes, CTG

positively influenced PA and health behaviour (Burn et al., 2017; Kinnafick,

Thøgersen-Ntoumani & Duda, 2016; Malik et al., 2014). It is plausible CTG’s

theoretical underpinnings supported basic psychological needs for autonomy,

competence and relatedness (Deci & Ryan, 2000a, 2000b). Supported basic

psychological needs are known to contribute to optimal function and

wellbeing, and the adoption of autonomous forms of motivational regulation

(i.e., identified, integrated, intrinsic) (Gucciardi & Jackson, 2015; Teixeira et

al., 2012).

Providing support for the findings of Chapter 4, participation in CTG

was reported to offer respite and allow participants to disassociate from

personal and workplace stressors. Previous evidence has indicated PA can

positively influence psychological wellbeing (Penedo & Dahn, 2005;

Scuamanna et al., 2017; White et al., 2017), and play a role in the effective

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treatment and protection from common metal health conditions such as

anxiety and depression (Penedo & Dahn, 2005; Scuamanna et al., 2017;

White et al., 2017).

Social health outcomes

The current study found participation in team sport to positively

influence communication and cohesion, interpersonal relationship and

creating workplace networks between participants. Broadly, these reports

provide further support for the findings presented in Chapter 4, and what has

been previously demonstrated within the literature (See Chapter 2 & 4; Adams

et al., 2016; Joubert et al., 2010a, 2010b, 2011, 2012, 2013, 2014a, 2014b;

Lee, 1991). On a work-group level, informal levels of communication and the

promotion of informal relationships present within CTG was reported to create

and improve networks within the workplace and support organisational

communication and knowledge (Crosling & Ward, 2002; Gibson, Hardy III &

Buckley, 2014). Participation in workplace team sport is thought to develop

interpersonal relationships and communication between colleagues (See

Chapter 1; Adams et al., 2016; Joubert et al., 2010a, 2010b, 2011, 2012,

2013, 2014a, 2014b; Lee, 1991). It is plausible participation in workplace team

sport may have fostered the social implications of informal relationship and

communication such as friendship, socialization and group affect (e.g.,

attachment) between colleagues (Michael & Yukl, 1993).

Organisational health outcomes

Participants perceived CTG to influence their productivity through

improvements in cognitive function. Improvements in cognitive function are an

established outcome following participation in PA (Chang, Labban, Gapin &

Etnier, 2012). Participation in high intensity PA is thought to positively

influence cognitive function through heightened endorphins, serotonin and

dopamine and improved brain-derived neurotrophic factor (Chang et al.,

2012).

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Adoption The adoption of CTG can be considered moderately successful.

Evidence has previously indicated workplace PA programmes to have a low

level of adoption over the short term (Ryde, Gilson, Burton & Brown, 2013;

Walker, Tullar, Taylor, Romàn & Amick, 2017).

The findings of the current evaluation suggest workplace team sport

can be considered an effective form of PA with low dropout rate over time.

Indeed, CTG was successful at engaging 75% of participants from T0 to T1.

This figure is consistent with previous workplace team sport interventions at

12-weeks (75%) and at 40-weeks (58.5%) (Barene et al., 2014), and a

multiple-component intervention (65.2% & 76%) using elements of team sport

(Burn et al., 2017).

Previous workplace team sport studies are yet to report detailed

accounts of their respective week-by-week attendance rate or analysis of their

participants’ attendance across demographic data (see Chapter 2; Brinkley et

al., 2017a). This has limited researchers understanding of the feasibility of

workplace team sport, and acceptability of differing forms of workplace team

sport. CTG had a modest attendance rate of 56.42% once adjusted for

frequent non-attendance (i.e., less than 25% attendance). Soccer was found

to be the least successful sport in terms of attendance (34% in weeks 4 and

10), whilst basketball in week 3 and handball in week 12 proved to be the

most popular with 67% attendance respectively. A low attendance rate for

soccer may be explained by a lack of expertise in this sport. Sports such as

soccer are known to challenge perceptions of competence, and likewise

reduce participation (Vlachopoulos, Karageorghis & Terry, 2000).

Modest attendance rates observed in CTG may be explained by

several interpersonal, organisational and environmental factors such as

pressure to work, employer attitudes, workplace culture, downsizing in the

organisation or returning to work (See Chapter 3; Brinkley et al., 2017b). Data

comparing attendance across superiority (i.e., superiors’ vs non-superiors’)

highlights that employees in a position of superiority were less likely to attend

than employees without superiority. The inverse relationship between

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participation in workplace PA and sport and workplace demands (e.g., hours,

workplace pressure, expectations) is well-established within research

(Brinkley et al., 2017b; Cole et al., 2015; Keegan et al., 2016).

Interestingly, employees participating in the least amount of PA were

the more likely to attend than employees meeting PA guidelines and

employees exceeding these guidelines. Furthermore, participants reported

participating for motives relating to weight loss, improvements in fitness;

factors typically associated with individuals who are currently inactive

(Teixeira et al., 2012). Therefore, it can be argued these employees may have

been participating through autonomous forms of extrinsic motivation such

identified regulation (Teixeira et al., 2012).

Implementation Evidence indicates CTG is a programme with a high level of efficacy

due to its successful implementation which was underpinned by SDT,

whereby needs for autonomy, competence and relatedness were supported.

Participants rated their basic psychological needs and the provision of AS as

high (i.e., over the mid-point) following participation.

At the end of the intervention, perceptions of needs the provision of AS

were rated as high (i.e., over the mid-point). Confirming the theoretical

underpinnings of the programme, participants’ perceptions of an autonomy

supportive intervention predicted the satisfaction of basic psychological

needs. Consistent with previous evidence examining an autonomy-supportive

environment upon adult’s sports participation and basic psychological needs,

AS significantly positively predicted autonomy (volition) (Adie, Duda &

Ntoumanis, 2008; Kinnafick et al., 2016). Qualitative data suggests

intervention components such as promoting enjoyment and personal

development in sport supports needs for autonomy. Evidence has linked

these factors to intrinsic regulation (autonomous motivation), and controlled

forms of motivation such as identified regulation (Deci & Ryan, 2000a, 2000b).

Given workplace champions adopted an autonomy supportive leadership style

(e.g., offering choice and ownership) when delivering sports to their

colleagues, it is theoretical logical participation in an intervention offering

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healthy motivation and functioning during sport would foster perceptions of

autonomous participation (Deci & Ryan, 2000a, 2000b).

The regression analyses found that AS did not predict perceptions of

competence (Standage et al., 2005). However, qualitative data suggests that

key intervention components such as a taster session, adapting sport rules,

providing novel sport, and promoting ‘success’ as personal development,

rather than outright competition foster needs for competence. Sports which

are adaptable and use transferable skills should be considered within future

programmes. In agreement with Adie et al. (2008), a modest significant

correlation between autonomy support and competence may be explained by

the mixed ages, genders and experiences represented in the current study.

Indeed, how participants perceive competence across an autonomy-

supportive team sport intervention may differ across age, gender and

experience. For example, more experienced participants may place less

importance on the support of an autonomy supportive champion in terms of

competence than a less experienced participant (Adie et al., 2008). Therefore,

future research should continue to adopt team sports which are recognisable

yet adaptable in future programmes.

CTG was designed to support relatedness through the delivery of

sessions by workplace champions, and employees participating with their

colleagues and superiors. Following the completion of the intervention,

autonomy support did not predict perceptions of relatedness. Qualitative data

however, provides support for this intervention component, in that participants

sought relatedness (e.g., social support, empathy, cohesion, group identity)

from their colleagues, superiors and employer to support participation.

Therefore, an autonomy supportive environment promoted by workplace

champions (i.e., colleagues) and attended with colleagues and superiors may

have fostered needs for relatedness. Interestingly, several studies examining

adult participation in sport (Adie et al., 2008), walking (Kinnafick et al., 2014)

and exercise (Edmunds, Ntoumanis & Duda, 2008) found an autonomy

supportive environment to predict perceptions of relatedness. Consistent with

Kinnafick et al. (2014) relatedness appears to be particularly important during

the uptake of participation. This may be due to participants having a colleague

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to attend with whereby the perceived challenges associated with participation

could be shared. It is likely, the team cohesion, group identity and social

support offered in a team based activity further fostered needs for relatedness

in participants (Thøgersen-Ntoumani, Loughren, Duda, Fox & Kinnafick,

2010). Promoting an autonomy supportive team sport with colleagues and

through workplace champions therefore may form a pragmatic method to

support relatedness for future research.

It should however be noted wellbeing was removed from the model

given the multivariate outliers within the data (i.e., data did not have

independence of observations). Autonomy-supportive interventions are known

to predict subjective wellbeing (Adie et al., 2008; Kinnafick et al., 2014).

Maintenance Despite participants adhering to physical activity (i.e., sport, active

transport, exercise) post-programme, the maintenance of CTG can be

considered moderately successful. In the case of CTG, several cultural

challenges to long-term participation such as communication, funding and

leadership of sport were identified. Workplace culture is known to influence

participation in physical activity (Brinkley et al., 2017b; Marshal, 2004). A

culture supportive of PA is understanding of flexible working and provides the

necessary emotional, informational and tangible support for participation

(Brinkley et al., 2017b; Schaefer, Coyne & Lazarus, 1981). In contrast, a

culture not supportive of workplace PA promotes non-stop working and

provides little ‘actual’ support for participation. In the case of CTG, a culture

was identified which while offering messages of support through

organisational outlets (i.e., message boards, reports, company

communication), provided little support for employees participating in the

programme or wishing to continue participation post-programme. These

obstacles to participation are consistent with previous research (Brinkley et

al., 2017b)

If workplace team sports programmes such as CTG are to become a

successful form of health promotion, a culture shift is required within

workplaces. Evidence has indicated multicomponent interventions whereby

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theories of behaviour change are incorporated alongside organisational

changes such as workplace culture may be more successful than behaviour

change alone (Marshall, 2004). Although, CTG did adopt a participatory

approach to account for the likeness of organisational challenges such as an

unsupportive workplace culture (Nielsen et al., 2010, 2013; Sørensen &

Holman, 2014), more could be done to affect these challenges occurring prior

to the intervention commencing.

Limitations

One limitation of the current study is the dimensional applicability rating

of reach (see Chapter 5) should be identified as a limitation. Reach was

conservatively calculated from the two worksites (intervention and control)

only. Whereas the 5080 employees represent the UK workforce and

employees working remotely (to whom the programme was not

communicated to), if implemented across the entire workforce, the actual

reach of the programme may have been greater than what was reported in

Chapter 5. Likewise, for pragmatic reasons the demographics of participants

were not recorded at the reach stage of the evaluation. Observing the

demographic information of potential participants may have provided stronger

information assessing the type of individuals who are interested in

participating in a workplace team sport scheme (Harden et al., 2015). When

implementing larger scale interventions and programmes, future research

may consider addressing this limitation.

A further limitation of this research is the absence of measurement

over the long-term. The data presented regarding the maintenance dimension

(see Chapter 5) refers to the programmes potential to be maintained over

time, rather than its specific maintenance over time. Certainly, this challenges

the conclusions which can be drawn regarding the long-term efficacy and

maintenance of participation in workplace team sport. Within the RE-AIM

framework, recommendations suggest the maintenance dimension should be

addressed at least 6-months following the last intervention contact (Gaglio et

al., 2013; Glasgow et al., 2006; Harden et al., 2015). Within the timeframe of

this thesis, a meaningful follow up period was not possible (>6-months).

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Future research should consider investigating the long-term efficacy of

workplace team sport with RCT designs with a substantial follow up period,

and longitudinal case-control designs.

The adoption dimension was rated as moderately successful in terms

of dimensional applicability (see Koorts & Gillison, 2015). An interesting and

novel approach not utilised within the current study to complement the

evaluation of the adoption dimension may have been the use of ethnography

within the participating organisation (Brannan & Oultram, 2012). An

ethnographic approach utilising the ‘participant as observer’ role (i.e., disclose

purpose of research to participants involve themselves in social situations and

nature, rigors and demands of the job) may present an interesting step for

research (Gold, 1958, 1997). The use of ethnography to complement the

evaluation of a programmes adoption has several benefits (Brannan &

Oultram, 2012; Gold, 1958, 1997). These include a stronger contextual

understanding of the day-to-day factors which influence the adoption and

indeed reach and maintenance of workplace health promotion inchoatives

such as PA or team sport (Zickar & Carter, 2010). Likewise, the adoption of

an ethnographic approach may provide the researcher with an experience of

the events and circumstances that underpin the facilitators and obstacles

reported in interviews (e.g., workplace culture, structure, social approval)

(Brannan & Oultram, 2012).

The implementation dimensional in the evaluation of CTG was rated as

moderately successful on its data applicability due to several limitations. More

specifically, perceptions of basic psychological needs and autonomy support

were not assessed at T0. This was due to limitations in the design of study

and measures of basic psychological needs satisfaction (BNSSS; Ng et al.,

2011) and autonomy support (SCQ; Brickell et al., 2006). Both scales

retrospectively assess perceptions of autonomy support and basic

psychological needs (Brickell et al., 2006; Ng et al., 2011). Whilst, this

presents no issues regarding basic psychological needs, the measure of

autonomy support assumes a participant has an experience of a champion

leading team sport within their workplace (Brickell et al., 2006). In the case of

CTG, many participants may not have had an experience of a workplace

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champion, and moreover a workplace champion promoting and leading

workplace team sport.

Additionally, the current study did not measure needs support for

competence and relatedness independently. Subsequently, this limits the

conclusions which may be drawn regarding a workplace champions influence

on supporting basic psychological needs for competence and relatedness

support. Therefore, it cannot be inferred if strategies such as using

transferable skills, adapting sports and reducing competitive traditions

influence support needs for competence over the environment (e.g., team

sport and the workplace). Moreover, it cannot be confirmed if peer support,

the social environment in the workplace (e.g., face to face and online

intractions) and the changes in social dynamics associated with team sport

support perceptions of relatedness in a workplace setting. Future research,

may consider addressing these limitations by measuring self-reported needs

support, rather an autonomy support alone.

Likewise, exercise regulation was not assessed during this study

Previous research (e.g., Fortier et al., 2007, 2012; Kinnafick et al., 2016) has

used the Behavioural Regulations to Exercise Questionnaire (Markland &

Tobin, 2004) to assess exercise regulation (i.e., amotivation, external,

introjected, identified, integrated, intrinsic regulation). The exclusion of the

measure limits the current study’s ability to identify the motivational regulation

of participants. Moreover, the exclusion of the measure limits the causal

associations which can be established between the impact of the intervention

of motivational regulations to exercise.

However, within the current study, this measure was not used for

several reasons. Foremost, the Behavioural Regulations to Exercise

Questionnaire measures motivational regulation to ‘exercise’ rather than

motivational regulation for sport (see Markland & Tobin, 2004). While many

participants engaged in regular PA (i.e., exercise), most did not engage in

sport prior to the CTG intervention. Therefore, the inclusion of this measure

may have led to a type-1 error (e.g., detecting motivational regulation for

exercise rather than for sport). To address the exclusion of this measure, a

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qualitative approach using regular interviews, observations and a research

diary was adopted. Previous research (e.g., Kinnafick et al., 2014; Rahman,

Thorgersen-Ntoumani, Thatcher & Doust, 2011) has adopted a qualitative

approach to explore motivational regulations for exercise. The qualitative

approach adopted within the current study allowed for motivational regulations

to be explored and the processes underpinning these changes to be

contextualised over the duration of the intervention. This remains important,

given motivation is not fixed ‘trait’, rather a dynamic subjective phenomenon

which is influenced by an array of intrapersonal and interpersonal factors

(Deci & Ryan, 2000a, 2000b; Teixeira et al., 2012)

A further limitation to assessing the implementation of CTG was the

omission of subjective wellbeing within the multiple regression model.

Autonomy support is known to predict improvements in both basic

psychological needs and subjective wellbeing (Adie et al., 2008; Gucciardi &

Jackson, 2015). Likewise, fostered basic psychological needs and subjective

wellbeing are thought to account for the adoption of more autonomous forms

of motivation (Deci & Ryan, 2000a, 2000b; Teixeira et al., 2012). Subjective

wellbeing’s removal was due to the multivariate outliers within the data (i.e.,

the data representing subjective wellbeing did not have independence of

observations). Within the absence of multiple time points, and a low sample

size a time-series regression was not viable.

Future research may consider a greater sample size and

measurements over time. The regression analysis conducted in this thesis

achieved low statistical power. Furthermore, using multilevel modelling (MLM)

(see Leyland & Goldstein, 2001) may form an interesting next step for

research evaluating the theoretical underpinnings of workplace team sport

interventions. Indeed, research examining the impact of a needs-support

workplace lunch-time programme has utilised MLM with a good degree of

success (Kinnafick et al., 2014). Therefore, further research is required to

confirm if a programme underpinned by BNT and autonomy support predicts

changes in subjective wellbeing and contributes to change in motivation for

participation.

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A limitation to the theoretical underpinnings of CTG is the fidelity of the

autonomy supportive environment provided. More specifically, individual

differences may contribute to the provision of an autonomy supportive

environment. Indeed, both workplace champions implementing CTG were

female and similar in other demographics (e.g., age, role, level of superiority).

Given this thesis presents the first intervention study to promote workplace

team sport through the provision of an autonomy supportive programme,

future research should continue to examine the feasibility and fidelity of this

approach with champions across a range of demographics (e.g., ages,

genders, cultures, hierarchical status).

Conclusion Through a mixed methods RE-AIM framework, the current study

evaluated the CTG programme, a team sport programme implemented within

a FTSE 100 company. The programme was assessed against its reach,

efficacy, adoption, implementation and maintenance. The findings indicate the

programme was highly successful in terms of efficacy and implementation.

The programme was less successful in terms of its reach, adoption and

maintenance. Good evidence supports participation in workplace team sports

impact upon individual, social group and organisational health outcomes. The

CTG programme provides support for the use of behaviour change strategies

utilising SDT and supporting basic psychological needs through the provision

of autonomy supportive leadership. Changing the culture within organisations

prior to interventions may better assist the reach, adoption and maintenance

of future programmes.

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Chapter 6 Discussion

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Discussion

Introduction The aim of this thesis was to develop and implement a team sport

intervention underpinned by behaviour change theory into a workplace

setting. The intervention was designed by exploring the perceived benefits of

participation and mapping the environmental, social and behavioural enablers

and challenges to team-based sport for employees and organisations. A

further aim was to assess this intervention against its acceptability, efficacy

(individual, social group and organisational benefits of participating) and

feasibility. A final aim was to provide integrated discussion. The contribution to

knowledge, limitations of the research, and its implications for future research,

practise and policy are discussed.

The efficacy of participation in workplace team sport

Individual health The data collected through a systematic review (Chapter 2),

intervention study (Chapter 4) and process-evaluation (Chapter 5) indicates

participation in workplace team sport may positively influence markers of

physiological and psychological health, and factors underpinning changes in

health behaviour.

Consistent with previous evidence, data from Chapter 4 (Brinkley et al.,

2017c) indicates the significant positive influence observed on markers of

fitness, may be attributed to participation in regular workplace team sport

(Barene et al., 2013, 2014a; Burn et al., 2017; Roessler & Bredah, 2006;

Scherrer et al., 2010; Soroush et al., 2013). Furthermore, workplace team

sport has the capacity to maintain and further improve aerobic fitness (i.e.,

VO2 Max) over the long-term (40-weeks) (Barene et al., 2014b). In this study,

the effect size for VO2 Max (relative) for participation in CTG (d=.77) was

marginally higher (d=.57) than modes of workplace PA examined within one

meta-analysis (Conn et al., 2009).

Routine exposure to vigorous forms of PA (e.g., HIPA) such as team

sport improves cardiac output and skeletal muscle oxidation and

capillarisation (Barene et al., 2013, 2014b; Krustrup et al., 2010; Wenger &

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Bell, 1986). Chapter 4 demonstrates that participation in a multi-team sport

programme is effective in influencing positive adaptations in VO2 Max in the

intervention group (+10.32%) when compared to a control group (i.e., normal

working conditions) (Brinkley et al., 2017c). The improvements in absolute

and relative VO2 Max observed in this study indicate an improvement in

cardiorespiratory fitness, rather than a reduction in body weight alone. Barene

et al. (2013, 2014b) found improvements of 5% in VO2 Max following a

programme of workplace soccer, while Burn et al. (2017) found improvements

of 15-19% following a workplace PA programme incorporating team sport

sessions.

Although the decrease (-1.75%) VO2 Max in the control group cannot

be directly attributed to working practises and lifestyle choices, office based

roles and associated sedentary behaviour have been found to contribute to

the detraining of the cardiorespiratory system, reduce cardiac output and

increase the prevalence of non-communicable cardiorespiratory disease and

illnesses (Ekelund et al., 2016; Hamilton et al., 2008; Santos et al., 2013). If

accurate, despite the control group meeting PA guidelines, the findings of the

current study provide further evidence of the state of ill-health present within

the workplace and the detrimental role sedentary office behaviour can hold for

cardiorespiratory function.

The evidence presented within this thesis suggests participation in

workplace team sport may contribute to positive adaptations in body

composition (i.e., reduced body fat mass/percentage and lower limb

mass/percentage), and reduce total body fat mass and percentage (Adams et

al., 2016; Barene et al., 2013, 2014a, 2014b, 2016; Brinkley et al., 2017c;

Burn et al., 2017). Systematic reviews of workplace PA programmes (i.e.,

walking, action days, gymnastic breaks, campaigns) found reductions in BMI

to range from -.03 to 1.0 Kg/m2 over the short- to long-term (Conn et al.,

2009; To, Chen, Magnusse, & To, 2013). Within CTG (See Chapter 4),

participation in team sport may have protected the intervention group from

significant increases in BMI over time (Pavey, Peetersm Gomersall & Brown,

2016; Sigel et al., 2009; Varela-Mato et al., 2017).

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Routine HIPA is associated with reduced markers of body composition

such as weight loss, abdominal adiposity and subcutaneous skinfolds

(Tremblay et al., 1990; Warburton et al., 2006). Likewise, sedentary working

practises have been causally linked with increases in BMI through increased

fasted plasma glucose, triglycerides, lipoprotein and waist circumference

(Eriksen, Rosthøj, Burr & Holtermann et al., 2015; Hamilton et al., 2008;

Mummery, Schofield, Steele, Eakin & Brown, 2005). A lack of a significant

reduction in the intervention group is consistent with the findings of Sigel et al.

(2009). The findings of this prospective cohort study indicate a reduction in

BMI is not observed until the frequency of vigorous PA (e.g., team sport)

reaches ≥5 times weekly (Sigel et al., 2009). This finding presents further

evidence of the importance of maintaining an active lifestyle within the

workplace, and the detrimental impact of sedentary behaviour on body

composition.

Markers of musculoskeletal health and function were not examined

within the empirical studies within this thesis. However, previous evidence has

indicated participation in workplace team sport (i.e., soccer) can improve neck

extension strength and sit-and-reach flexibility over the short- and medium-

term (9-months) (Barene et al., 2016), and decrease neck-shoulder muscle

pain over the long-term (Barene et al., 2014b). Future research may consider

confirming if participation in a multiple programme of workplace team sport

also contributes to adaptions in musculoskeletal health and function.

Participation in workplace team sport (see Chapters 1, 2, 4 and 5) may

also be comparable with other modes of workplace PA (e.g., aerobic exercise,

dance, resistance training, yoga) on markers of subjective wellbeing, quality of

life and mental health (Chu et al., 2014; Lindwall et al., 2012; Penedo & Dahn,

2005; Prince et al., 2007; Robertson et al., 2012). Consistent with previous

research (e.g., Brown et al., 2014; Pretty, Peacock, Sellens & Griffin, 2005),

team sports delivered within a natural environment (e.g., Thøgersen-

Ntoumani et al., 2014) were found to be effective in improving psychological

well-being. Participation in team sport (i.e., defined as ball sports), external to

the workplace, has been associated with reduced perceptions of stress and

improved wellbeing in male adults (Asztaloes et al., 2012; Marque et al.,

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2016; Skead & Rogers, 2016; Thøgersen-Ntoumani et al., 2014). Whilst yoga

within the workplace has been shown to influence changes in work-ability

(Axén & Follin, 2017).

Although non-significant, improvements in markers of psychological

wellbeing (i.e., subjective vitality, quality of life, stress and occupational

fatigue) were observed between T0-T1 of CTG. Likewise, triangulating data

from Chapter 2 and 4 indicates participation in workplace team sport has a

positive impact on psychological wellbeing. Participation in a range of

workplace team sports improves perceptions of global wellbeing, subjective

vitality, emotional stability and psychological flow (Joubert et al., 2010a,

2010b, 2011, 2012, 2013, 2014a, 2014b; Negulescu & Oicâ, 2016; Roessler &

Bredah, 2006; Scherrer et al., 2010; Thøgersen-Ntoumani et al., 2014). The

experiences of employees participating in modes of workplace team sport and

the CTG programme indicates an association between participation and the

disassociation of stress (See Chapter 5). It is plausible, workplace team sport

may have provided a somatic outlet for employees to disassociate from

workplace and lifestyle stressors (Caddick & Smith, 2014). Perceptions of

stress have the capacity to be reduced over time due to the associated

endorphin hypothesis (Peluso & de Andrade, 2005). This proposes an

elevation in endorphin levels decreases cortisol, and stimulates production of

norepinephrine and serotonin, and brain level neurotrophic factor (Chu et al.,

2014; Kim et al., 2012). Likewise, the social support associated with team

sport may have provided an environment where stressors and workplace

demands could be discussed.

Previous evidence has associated participation in workplace team

sport with improved general health behaviour, PA behaviour and perceptions

of health (Evans et al., 2016; Roessler & Bredah, 2006; Scherrer et al., 2010;

Thøgersen-Ntoumani et al., 2014; Uttley & Lovelace, 2016). Improving the

health behaviour, and more specifically PA behaviour of individuals

contributes to the maintenance of physical and mental health outcomes

(Biddle & Foster, 2011; Sallis et al., 2008). The findings of Chapter 4 suggest

participation in team sport may improve participation in total MET’ of PA and

vigorous PA. Interestingly, data collected with a daily self-report PA diary

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indicates the intervention (i.e., team sport) group participated in significantly

more PA than the control group (i.e., normal working conditions). Qualitative

data collected during the process evaluation (see Chapter 5) highlights that

changes in PA behaviour may be attributed to developed perceptions of

competence in sport and improved self-efficacy (Teixeira et al., 2012).

Moreover, facilitated perception of competence and relatedness through team

sport may contribute to the adoption of more autonomous motivation and

changes in participation in PA (Teixeira et al., 2012). Likewise, observable

changes in individual health (e.g., fitness, weight loss) may support basic

psychological needs for competence, foster wellbeing and likewise promote

autonomous motivation for maintained participation in PA (Teixeira et al.,

2012).

Workplace PA programmes (e.g., individual and group counselling,

fitness testing, gym membership and exercise classes) can influence PA

behaviour (Malik et al., 2014). The evidence presented within the thesis

indicates workplace team sport may have a comparable impact on PA

behaviour. For example, studies using ‘actual PA’ as a strategy to change

behaviour have been shown to improve PA duration post-intervention by 2-4

hours (Malik et al., 2014). Similarly, CTG participants engaged in 2.5 hours

more PA post-intervention than at baseline (see Chapter 4, Brinkley et al.,

2017c).

Chapter 4 found sitting time to decrease marginally in both groups over

time. It should, however be noted that this data was self-reported and not

measured through an objective indicator of postural change such as the

ActivPAL (Atkin et al., 2014). Although CTG was not designed to reduce

sitting, past research has demonstrated the impact PA has upon sitting time

(De Cocker, Bourdeaudhuij, Brown & Cardon, 2008). The findings of this

community pedometer intervention found an increase in step count to reduce

sitting time (De Cocker et al., 2008).

The weight of evidence presented within this thesis suggests

employers, policy makers and practitioners should consider workplace team

sport when seeking to improve the health of employees and the workforce. As

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the evidence examining workplace team sport on markers of individual health

continues to become more prevalent, future research may conduct a meta-

analysis to compare the efficacy of workplace team sport against common

forms of workplace PA (e.g., walking, gyms, sit-stand-desks).

Improving markers of individual health through modes of PA in

community settings (e.g., the workplace) is a major component of national and

international health promotion policy and practise (Department of Health,

2011). Global and national (i.e., UK) physical activity policy recommends the

use of sport within captive and engaging community settings to promote

positive adaptations in individual health outcomes (Department of Health,

2011; UK Government, 2015; World Health Organisation, 2010). However,

these recommendations lack an evidence base to support participation in

team sport in settings such as the workplace. The findings of this thesis

address this gap in evidence by providing an initial, yet comprehensive,

evidence base of the efficacy of participating in workplace team sport.

Meeting international and national guidelines for PA is known to reduce

the risk-ratio of CVDs (i.e., CHD, stroke, hypertension), type-2 diabetes,

cancer and mental health outcomes (Aune et al., 2015; Bassuk & Manson,

2005; Das & Hortan, 2016; Hamilton et al., 2008; Myers et al., 2015; Lee et

al., 2012). An inverse relationship is established between participation in

moderate to vigorous PA and aerobic fitness, and the prevalence of CVDs

such as CHD, stroke and hypertension (Bassuk & Manson, 2005; Myers et al.,

2015). Moreover, regular participation in PA contributes to reduced all-cost

mortality (Ekelund et al., 2016; Myers et al., 2004). The efficacy of long-term

participation in workplace team sport is not established within UK workplaces

or using multi-team sport interventions. Future research may consider

examining the association between participation in workplace team sport and

the prevalence of non-communicable diseases and illnesses over the long-

term.

Social group health Triangulating the evidence collected from Chapters 2, 4, and 5

indicates participation in workplace team sport can contribute to

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improvements in social group health outcomes (i.e., cohesion, interpersonal

relationships and communication). Improvements in social health outcomes

(e.g., cohesion, communication, interpersonal relationships) are widely

documented within the literature (see Chapter 2 & 4; Adams et al., 2016;

Joubert et al., 2010a, 2010b, 2011, 2012, 2013, 2014a, 2014b; Lee, 1991).

More specifically, participation in a range of team sports (e.g., soccer, cricket,

volleyball) can remove hierarchical barriers within the workforce, and

positively influence teamwork, team values, team trust, communication,

interpersonal relationship and cohesion between colleagues and between

superiors and subordinates (Joubert et al., 2010a, 2010b, 2011, 2012, 2013,

2014a, 2014b; Lee, 1991; Pichot et al., 2009). These factors are associated

with the development of networks and productivity within a workplace (Gibson

et al., 2014; Michael & Yukl, 1993). However, this evidence using qualitative

designs has been broadly of low quality and lacks theoretical interpretations of

its findings (see Chapter 2; Brinkley et al., 2017a).

Consistent with this evidence, the empirical studies (See Chapter 4 &

5) within this thesis found participation in a variety of workplace team sports to

contribute to maintained and improved social group health outcomes. More

specifically, observations from Chapter 4 indicate participation in CTG

significantly improved interpersonal communication, and non-significantly

improved interpersonal relationships with superiors. This finding provides the

first empirical support for several qualitative studies presented within Chapter

2 (Joubert et al., 2010a, 2011, 2014; Lee, 1991). Relationships with

colleagues and group cohesion decreased marginally overtime in both the

intervention and control groups (see Chapter 4). Contrasting these findings,

and reflecting that of the evidence identified in Chapter 2 and process-

evaluation (see Chapter 4) suggest participation in team sport has a positive

influence upon group cohesion and interpersonal relationships, and the

removal of hierarchal barriers.

In the case of Chapter 4, findings regarding cohesion and interpersonal

relationships may have been confounded by measurement issues and study

design. More specifically, ‘work-groups’ and ‘teams’ exist within organisations

(Cannon-Bowers & Bowers, 2006). Work-groups are constructed of

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dependent employees who broadly collaborate on projects with the

organisation (e.g., customer service across the organisation), whereas a team

represents a group of employees with interdependence that collaborate on

face-to-face tasks towards a common goal (e.g., managing an account)

(Cannon-Bowers & Bowers, 2006). Work-groups do not work-together on a

day-to-day basis (Cannon-Bowers & Bowers, 2006). In contrast, a team’s

function and effectiveness is based upon on day-to-day face-to-face

interactions, cohesion and relationships (Cannon-Bowers & Bowers, 2006;

Salas et al., 1992). The sample of the study presented in Chapter 4 was

recruited from the organisation and its work-groups (e.g., department level)

rather than from an individual departmental team. Therefore, changes in

situational ‘team’ outcomes, such as cohesion and relationships with other

employees, may have been confounded due to a lack of influence by

workplace team sport. Future research may consider clustering study arms on

a ‘team’ level or measuring social health outcomes on broader work-group

level.

Effective teams, departments and organisations have high levels of

communication, cohesion and interpersonal relationships between members

(Cannon-Bowers & Bowers, 2006; Hartenian, 2003; Katz, 2001). Moreover,

membership of a social group forms a central construct within an employee’s

health and wellbeing (Cannon-Bowers & Bowers, 2006). Social exchange

theory (SET) proposes individuals seek, develop and maintain relationships

which are positive, and avoid and remove themselves from negative

relationships within the workplace (Thibaut & Kelley, 1959; Cropanzano &

Mitchell, 2005).

Data indicates participation in workplace team may have the capacity

to contribute positively towards factors such as social support, group identity,

acceptance, trust, respect, the removal of hierarchal barriers, sharing

knowledge and cohesion (see Chapters 2, 4 & 5). These factors are thought

to influence the rewards and costs of a relationship (Cropanzano & Mitchell,

2005; Almost et al., 2015). Interpersonal relationships are essential

components of functioning organisations (Cropanzano & Mitchell, 2005).

Avoiding non-functional relationships is avoid not pragmatic due workplace

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demands and structures (Cropanzano & Mitchell, 2005). Therefore, improving

factors contributing to improved relationship favourability through team sport

may be an effective strategy which has the capacity to improve interpersonal

relationships within the workplace. Practitioners may continue to use team

sport to develop and maintain the rewards of interpersonal employee

relationships (Cropanzano & Mitchell, 2005).

Group cohesion is a component of an effective workplace team (Rosh

et al., 2012), and known to contribute to the development and maintenance of

effective relationships (Cropanzano & Mitchell, 2005). Cohesion is

conceptualized as task commitment, group pride and interpersonal attraction,

and can be segregated for task and social purposes (Pescosolido &

Saavedra, 2012; Rosh et al., 2012). Evidence indicates groups formed and

developed naturally are more cohesive than those created in a controlled

setting (Mullen & Copper, 1994).

Regarding workplace team sport, social and task cohesion may have

been developed through participation in a natural setting. For example, many

of the sports investigated within this thesis and moreover within CTG were

team sports within greater levels of independence between members (e.g.,

soccer, netball, basketball, handball) (Carron et al., 2002; Mullen & Cooper,

1994). Previously, team sports within higher levels independence between

members have been linked to greater levels of social cohesion and collective

efficacy than individual sports played in a team environment (Carron et al.,

2002; Mullen & Cooper, 1994; Pescosolido & Saavedra, 2012; Phillippe-

Heuzé et al., 2006). Social cohesion within groups has been associated with

task performance (e.g., productivity) and coping with high workplace demands

(Beal et al., 2003; Carron et al., 1988, 2002; Mullen & Copper, 1994;

Pescosolido & Saavedra, 2012).

Compelling evidence has indicated a sports team’s social and task

cohesion may be influenced to a greater degree than a workplace teams due

to the prevalence of communication, trust, interpersonal relationships,

member abilities, similarity between members, shared goals, roles,

psychological belonging and group identity, and the absence of undefined

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member roles, conflicting group memberships and unstructured organisational

factors prevalent within the workplace (Mach et al., 2010; Pescosolido &

Saavedra, 2012). Practitioners may therefore consider using activities to

promote and develop cohesion within naturally formed workplace teams.

Modern workplaces rely on functioning and effective modes and styles

of formal and informal verbal, electronic, written and non-verbal

communication on upward, downward and horizontal levels to share

knowledge, encourage cohesion, make decisions, and improve staff morale,

job satisfaction, work-engagement and productivity (Jones et al., 2004;

Lunenburg, 2011; Miller, 2009). Likewise, effective communication is an

essential component of team sport (Onağ & Tepeci, 2014; LeCouteur & Feo,

2011). Participation in team sport promotes cohesion and relationships

between players (Carron, Colman, Wheeler & Stevens, 2002). Furthermore,

team mates have been found to adopt informal communication styles, task-

cohesion and form interpersonal relationships outside of sport (Carron et al.,

2002; Onağ & Tepeci, 2014; Smith, Arthur, Hardy, Callow & Williams, 2013).

Social identity theory (SIT) proposes employees adopt the identity,

belonging and concept of their workplace team (i.e., in-group) (Hogg & Terry,

2001). These groups are associated within open styles of communication

(Scott, 2007). Open communication is known to contribute to fostered

cohesion, job satisfaction and productivity within the workplace (Kang & Sung,

2017; Whittaker, Frohlich & Daly-Jones, 1994). From the perspective of

workplace team sport, improvements in communication may be explained by

the time employees spent together, participating in an activity of common

interest with shared goals, whereby employees learn more about their

colleagues’ communication style in a non-work, barrier free environment

(Joubert, 2012). Participation in this environment may have led to

development of in-groups within the workplace, and likewise the presence of

open communication within the workplace (Scott, 2007).

The findings of this thesis are comparable with other strategies

designed to improve communication, cohesion and interpersonal relationships

within the workplace (Beal et al., 2003; Mullen & Copper, 1994; Salas et al.,

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1992, 2008; Tannenbaum et al., 1992). Team building activities within the

workplace are designed to facilitate cohesion through a focus upon

developing interpersonal relationships, trust, open communication and

cohesion (Rosh et al., 2012). In a variety of settings, including the workplace

and within sports teams, improvements in teamwork and communication have

been attributed to positively influence staff retention, job satisfaction,

cohesion, staff wellbeing and productivity (Almost et al., 2015; Dutton, 2003).

However, whilst broadly positive, previous ‘team building’ interventions

in formal and informal settings have been found to have a mixed effect on

improving social-group health outcomes within organisations (Klein et al.,

2009). The evidence presented within Chapters 2, 4 and 5 indicates

participation in team sport has the capacity to influence the development and

maintenance of social group health outcomes. Given the prevalence of factors

which stimulate cohesion, team intimacy, relationships and communication

within team sport (Mach et al., 2010), practitioners would be wise to consider

the adoption of team sport as a novel mode of team building to promote

cohesive and effective interactions and relationships between colleagues and

superiors (Klein et al., 2012; Rosh et al., 2012). Indeed, activities within a high

level of team member interaction and independence are more effective than

lecture-based exercises alone (McEwan et al., 2017).

Few studies have examined the impact of forms of workplace PA on

social group health outcomes. However, recently, Michishita et al. (2017)

found a 10-minute workplace physical activity programme conducted during

lunch breaks to improve perceptions of friendliness and social support from

colleagues and superiors. However, it should be noted these outcomes were

examined on a scale of psychological mood, rather than a measure design to

examine the efficacy of social group health outcomes, and therefore these

findings are open to interpretation and cannot be attributed to the impact of

the intervention alone. Triangulating the data available suggests participation

in team sport may have a substantially greater impact on social group health

outcomes than modes of traditional PA. Therefore, practitioners wishing to

promote the development and maintenance of social group health outcomes

with modes of PA may consider the use of workplace team sport before more

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traditional modes of workplace PA which centre upon factors thought to hinder

improvements in social group health outcomes such as individual

participation, and a lack group independence (Carron et al., 2002; Mach et al.,

2010; Mullen & Cooper, 1994; Pescosolido & Saavedra, 2012).

Organisational health Markers of individual health and social group health can influence the

health, function, effectiveness and fiscal profile of the organisation (Batt,

2009; Conn et al., 2009; Pronk & Kottke, 2009). Data collected from Chapter

1, 2, 4 and 5 indicates participation in workplace team sport can positively

influence organisational health outcomes.

Evidence from Chapter 2 suggests participation in a range of team

sports may improve work-performance (Thøgersen-Ntoumani et al., 2014),

perceptions of work-engagement (Elbe et al., 2016; Joubert et al., 2010a,

2010b, 2011, 2012, 2013, 2014a, 2014b; Pichot et al., 2009) and team

productivity (Lee, 1991). Likewise, participation in team sport may result in

reduced sickness absence and presenteeism (Adams et al., 2016; Barene et

al., 2013, 2014a, 2014b; Joubert et al., 2010a, 2010b, 2011, 2012, 2013,

2014a, 2014b; Verdonk, Seesing & Rijk, 2010; Pichot, et al., 2009; Roessler &

Bredah, 2006).

The findings of empirical studies within this thesis support previous

evidence (see Chapters 4 & 5). More specifically, data from focus groups

suggests participation may contribute to perceptions of improved networking

with colleagues, knowledge sharing, productivity, and concentration. Likewise,

several participants attributed their low levels of absenteeism and

presenteeism to participation in workplace team sport.

Participants explained how playing team sports allowed them to

refocus during the working day through changes in cognitive function (see

Chapter 5). Maintained and improved concentration during a workplace

setting has not been examined with team sport as a mechanism of change.

However, changes in cognitive function have been inferred from participation

in workplace PA (Mullane, Buman, Zeigler, Crespo & Gaesser, 2017; Ratey &

Loehr, 2011). During a ‘simulated’ workplace setting, Mullane et al. (2017)

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found cycling, walking and standing to improve objectively assessed cognitive

function through enhanced arousal and adaptations to working memory and

executive function. Furthermore, Ratey and Loehr (2011) argue participation

in PA improves performance on cognitive function tasks relating to planning,

inhibition, scheduling and working memory. It is plausible, improved cognitive

function in experimental setting would contribute to real-world applications

such as fostered productivity (Pronk & Kottke, 2009).

Data collected from Chapter 4 indicates employees participating in

CTG improved on markers of job satisfaction and individual and team job

performance (i.e., productivity), and reported reduced presenteeism over time,

albeit non-significantly. In contrast, self-reported sickness absenteeism

increased marginally over the duration of CTG in both the intervention and

control groups, and work-engagement decreased marginally.

Evidence supporting the relationships between participation in PA and

job satisfaction and affective states is growing (Daley & Parfitt, 1996; Judge et

al., 2017). One study to date has found participation in team sport to foster a

sense of value for the organisation (Joubert & De Beer, 2011). Job

satisfaction was however reported in Chapter 5 by participants currently

engaging in workplace team sport. It is plausible to suggest providing an

employee the opportunity to participate in an activity they enjoy such as team

sport, within their role may result in high perceptions of satisfaction with a job

role or the workplace in general (Daley & Parfitt, 1996; Judge et al., 2017). It

is possible a more satisfied employee may be more prepared to commit to the

organisation in times of pressure, be more productive and engaged, and be

less likely to contribute to employee turnover (Judge et al., 2017). Recently,

Judge et al. (2017) argued job satisfaction provides positive affective mood

dispositions such as happiness at work and is linked to favourable trajectories

such as commitment over time. However, most of the evidence discussing job

satisfaction and PA or team sport provisions is inconclusive (Proper, Staal,

Hildebrandt, van der Beek & van Mechelen, 2002).

Positive adaptations in physiological health markers (e.g., VO2 Max),

psychological wellbeing and physical activity behaviour found within this

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thesis are known to contribute to a reduced rate of sickness absenteeism and

presenteeism through reducing the prevalence of non-communicable

illnesses, diseases and conditions (Ding et al., 2016). Reducing the risk of

sickness absence and presenteeism would reduce the fiscal loss for the

organisation (Michie & Williams, 2003). Therefore, future research may

consider examining the impact of individual health outcomes incurred through

participation in workplace team sport, and the inverse relationship to sickness

absence and presenteeism through objective measures (e.g., sickness

records) over the long-term (see Amlani & Munir, 2014).

Interestingly, the social group health outcomes fostered through

workplace team sport may improve networking between colleagues,

knowledge sharing, team productivity and job satisfaction. Improving open

communication, cohesion and interpersonal relationships between colleagues

and superiors may provide a socially supportive and engaging environment

whereby employees can negotiate the sharing of information (Buljac-

Samardzic et al., 2010; McEwan et al., 2017). Given the importance of teams

within modern workplace, improving markers of team productivity would likely

contribute to fiscal health of the organisation. Future research may consider

examining the impact of workplace team sport on social health outcomes over

long-term whilst observing objective economic markers in productivity (e.g.,

output, sales) of workplace teams.

Previous research, evaluating the efficacy of traditional modes of PA

within workplaces, has highlighted the lack of measurement of organisational

health outcomes (Conn et al., 2009). However, this research argues the

impact of PA on markers of organisational health may go beyond what is

found and reported within studies (Conn et al., 2009). The findings of this

thesis reflect this interpretation, and therefore researchers must do more to

understand the impact of participation in workplace PA and team sport on

markers of organisational health.

However, the data collected on organisational health outcomes is

comparable with other modes of workplace PA. For example, good evidence

indicates participation in workplace PA does not exert significant changes in

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rates of sickness absenteeism over the short-term (Amlani & Munir, 2014;

Proper et al., 2002). Consistent within the recommendations of these reviews,

future research examining workplace team sport may examine if team sport

has the capacity to exert significant changes in objectively examined sickness

absence over the long-term. Previously, evidence has associated participation

in workplace PA with improvements in individual productivity (MacEwen et al.,

2015; Pendro & Dahn, 2005; Pereira et al., 2015). However, evidence is yet to

explore the impact of workplace PA on markers of productivity in teams.

Evidence presented within this thesis indicates markers of productivity within

teams such as networking and sharing knowledge can be improved through

facilitated social health outcomes (i.e., cohesion, communication and

interpersonal relationships). Therefore, workplace team sport may be

considered an effective mode of workplace PA for employers and practitioners

seeking to improve productivity within their workplace, departments and

teams.

The acceptability and feasibility of promoting workplace team sport

Acceptability The data presented within Chapter 5 indicates workplace team sport is

an acceptable form of health promotion within an organisational setting. A key

determinate of acceptability is a participant’s perceptions, attitudes and

behaviour towards an intervention (Sekhon, Cartwright & Francis, 2017).

These determinates of acceptability can be examined through data regarding

the reach of the intervention (Gaglio et al., 2013; Glasgow et al., 2006;

Harden et al., 2015). A critique of workplace team sport research is the failure

to accurately report factors determining intervention acceptability such as

reach. Whilst the reach of CTG was considered to have limited success

(29.86%), this is marginally greater than a previous workplace intervention

using soccer to promote adaptions in individual health outcomes (19.25%)

(Barene et al., 2013). Interestingly, employee recruitment from small cohorts

(<1000 employees) has been attributed to higher recruitment rates in

workplace PA interventions (Ryde et al., 2013). Comparisons between PA

and team sport reflect an overall low level of reach (<50%), heterogeneous

participation, and the absence of recruitment rates (Malik et al., 2014;

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Marshall, 2004; Ryde et al., 2013; To et al., 2013). For example, workplace

PA interventions using active transport, activity challenges and policy change

reach marginally more than team sport, yet a low number of employees (23%-

32.24%) (Dishman et al., 2009; Dubuy et al., 2013; Saringer & Ellis, 2017).

Likewise, heterogeneous participation rates ranging from 3% to 75% have

been reported for modes of PA such as walking, activity days and challenges,

mobility exercises, stepping challenges and fitness (e.g., gym) facilities and

classes (To et al., 2013).

The 2016 and 2017 annual reports from the participating organisation

sampled in CTG (see Chapter 4 and 5) consistently echoes the importance of

participation in PA in the workplace. However, recruitment communication for

CTG was reported as being ineffective by the participants in the process

evaluation. Whilst not reported as directly unsupportive, it appeared managers

may have chosen to not raise their colleagues’ awareness of the programme

or to offer their direct approval for participation. Evidence suggests managers

and superiors are influential stakeholders in encouraging participation and

adherence to health promotion programmes (Brinkley et al., 2017b;

Caperchione et al., 2015; Gilson, McKenna & Cooke, 2008). CTG participants

drew negative social comparisons with the behaviour of their superiors and

managers. It is plausible these comparisons may have thwarted needs for

relatedness (e.g., to feel social supported) and therefore reduced participants’

motivation for participation in CTG (Teixeira et al., 2012).

Consistent with other FTSE 100 organisations, employees in CTG

were subjected to long working hours, in a culture where working non-stop is

encouraged (Gilson et al., 2008). Job demands have been found to challenge

the acceptability of a workplace walking programme (Gilson et al., 2008). If

the reach of health promotion programmes (e.g., team sport) within workplace

settings are to match their apparent efficacy, these challenges must be

addressed. A strategy for researchers may be promoting a workplace culture

that supports and encourages health promotion participation through flexible

working (Batt, 2009; Brinkley et al., 2017b; Sorensen et al., 2016). Culture

change may be achieved through promoting a ‘top-down’ health-promoting

style of leadership within the organisation (Cooper & Barton, 2015; Edmunds

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et al., 2013; DeJoy, 2005; Žižek, Mulej & Čančer, 2017). More specifically,

leaders (e.g., board members, senior leaders, superiors) have regular contact

with differing levels of hierarchy within the workforce, and therefore can adopt

a leadership style which influences the culture within the workplace through

holistically inspiring and motivating their subordinates to participation (DeJoy,

2005; Žižek, Mulej & Čančer, 2017). This influence is thought to be self-

perpetuating within the workforce, whereby employees adopt the attitudes and

behaviour of their superiors (DeJoy, 2005). In turn, employees adopting this

culture may indoctrinate other members of the workforce. Therefore,

researchers and practitioners should consider influencing the culture of the

workplace when promoting PA and indeed team sport. Evidence has indicated

multicomponent interventions whereby theories of behaviour change are

incorporated alongside organisational changes such as workplace culture

may be more successful than behaviour change alone (Marshall, 2004).

Interestingly, data presented within CTG indicates workplace team

sport was successful at recruiting sub-groups of participants most at risk of

non-communicable diseases and illness. Indeed, the BMI of both groups was

considered overweight by international standards (27.12±4.75) (World Health

Organisation, 2000). A limitation within research is failing to recruit at risk-

populations (Conn et al., 2009). Given both groups were recruited under the

premise they would be receiving a programme of team sport, the findings of

the current study suggest team sport may be a form of health promotion which

is appealing to a high-risk population. This, to a point, challenges the barriers

(e.g., perceptions of a negative body image, low self-efficacy, excess weight

and poor fitness and health) highlighted by research (McIntosh, Hunter &

Royce, 2016; Rech et al., 2016). Given CTG was conducted with colleagues

rather than as an exercise referral, it is plausible the social support offered

through participation supported relatedness and provided motivation to attend

(Silva, et al., 2010). Further, this finding provides support for the notion that

PA interventions should be conducted in a setting which is supportive of the

basic psychological need for relatedness (Deci & Ryan, 2000a, 2000b).

Tailoring team sport and PA to workplaces is a fundamental step for

researchers and practitioners promoting health and wellbeing. Evidence

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indicates this may be achieved using a participatory approach (Nielsen et al.,

2010, 2013). Interestingly, when examining workplace PA studies with a high

level of employee recruitment and adoption, Ryde et al. (2013) and To et al.

(2013) found longer study durations (>12-months), objective measures of

health and workplace commitment and support for health and wellbeing

programmes to translate to high levels of employee recruitment and

participation. Researchers and practitioners promoting team sport within the

workplace may consider the saliency of this points during the design of future

programmes. Likewise, given the absence of data representing the

acceptability of workplace team sport, future research may wish to include the

measurement of reach and adoption to better understand if team sport is

acceptable within a workplace setting.

Feasibility Evidence suggests team sport is a feasible mode of PA to promote

within a workplace setting. Previous workplace team sport research has failed

to comprehensively explore the feasibility of their respective programme.

Moreover, research from intervention designs has lacked strong theoretical

underpinnings (e.g., Barene et al., 2013, 2014a, 2014b, 2016). The findings

from Chapter 3 and 5 indicate participation in workplace team sport is

influenced by intrapersonal, interpersonal, organisational, environmental and

societal factors.

Intrapersonal factors such as autonomy and competence and self-

efficacy facilitate or challenge participation. Reduced perceived competence

is known to predict the adoption of maladaptive PA behaviours such as

embarrassment, a lack of self-efficacy and state anxiety (Adie et al., 2008;

Conroy & Elliot, 2004; Deci & Ryan, 2000a, 2000b; Ntoumanis, Thorgersen-

Ntoumani & Smith, 2009). Unhealthy behaviours associated with competitive

sport (e.g., aggression, over-competitiveness, critiquing) may reduce

perceptions of competence and diminish self-efficacy (Adie et al., 2008;

Gucciardi & Jackson, 2015).

Societal factors such as perceptions of school sport and gender

inequality may also reduce perceptions of competence and self-efficacy in

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team sport (see Chapter 3). Outside a workplace setting poor experiences of

school sports and teaching practises, gender inequality, and age and obesity

related stigma, and perceptions of job demands and expectations, and social

class have been found to challenge participation in sport and health promotion

(Borrell, Muntaner & Benach, 2004; Flint, 2013; Green, 2014; Harry, 1995;

Hillier-Brown et al., 2014; Marmot & Bell, 2010; McGillivray, 2002; McGinnis et

al., 2005; Stamarski & Son Hing, 2015; Trolan, 2013).

The findings of Chapter 3 support evidence from prospective cohort

designs and theoretical debates which suggests the delivery, structure and

content of PE influences adult participation in PA and sport (Green, 2014;

Kirk, 2005). The traditional delivery of PE shaped by policy and teaching

practises valued performance outcomes (e.g., winning and performance) over

the apparent health benefits associated sport (Green, 2014; Kirk, 2005). This

pedagogical tradition favours individuals who excel at sport at a young age,

and may thwart the competence and self-efficacy of those who do not (Green,

2014; Kirk, 2005). The findings of the current study add to evidence which

suggest the current PA behaviours of working age adults are influenced by

perceptions of school sport, and therefore participation in workplace team

sport may be reduced (Bocarro et al., 2008; Green, 2014; Kirk, 2005).

Confirming previous evidence (Elbe et al., 2016; Teixeira et al., 2012),

autonomous motivational regulations were found to facilitate attendance in

Chapter 3. Evidence indicates sports with adapted rules or novel sports can

improve perceptions of competence and provide self-efficacy (Adie et al.,

2008). Facilitating antecedents of autonomous motivation, such as intrinsic

motivation, enjoyment, and mastery experiences can further support needs for

competence (Adie et al., 2008; Allen, 2006; Gucciardi & Jackson, 2015).

Likewise, participation with colleagues may support needs for relatedness,

and therefore reduce obstacles surrounding low perceived competence and

self-efficacy (Keegan et al., 2016; Schafer et al., 1981). For example, team

cohesion, social support and group identity within workplace teams facilitate

needs for relatedness and promote participation (Teixeira et al., 2012).

Promoting team sport within an organisation which is socially supportive is

more likely to be successful than one which is not (Keegan et al., 2016).

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The intervention (i.e., CTG) presented within this thesis was

implemented using SDT and a participatory approach (see Chapter 4 for an

overview; Deci & Ryan, 2000a, 2000b; Neilson et al., 2010, 2013). Support

previous evidence, data presented in Chapter 5 indicates a programme

supportive of autonomy, competence and relatedness is effective when

promoting adult participation in sport, exercise and PA (Adie et al., 2008,

Gucciardi & Jackson, 2015; Fortier et al., 2007; Kinnafick et al., 2014; Teixeira

et al., 2012). Supported basic psychological needs are known to contribute to

optimal function and wellbeing, and the adoption of autonomous motivational

regulations for participation in PA (Gucciardi & Jackson, 2015; Teixeira et al.,

2012).

Confirming the theoretical underpinnings of the programme, findings of

Chapter 5 suggest a team sport intervention, supportive of autonomy,

competence and relatedness can support basic psychological needs and

promote autonomous motivational regulations for participation in PA

(Gucciardi & Jackson, 2015). Accounting for the obstacles employees

negotiate through a participatory approach may also improve participation.

Workplace champions leading sport may be a pragmatic method to

promote a needs supportive intervention, and therefore autonomous

motivation (Conroy & Coatsworth, 2007; Rocchi et al., 2013). The use of

champions reduces the demand placed upon stakeholders to deliver and

support participation, factors identified as obstacles to participation in

workplace team sport in Chapter 3 (Brinkley et al., 2017b). CTG suggests

autonomy can be supported through reinforcing the benefits of participation

(e.g., demonstrating improvements in health outcomes, or sports

performance), offering employees a choice to play and the opportunity to opt-

in and -out of team sport sessions, promoting determinants of enjoyment and

allowing employees control and ownership of the sports. Informed by

evidence presented in Chapter 3 and previous data outside a workplace

setting (Standage et al., 2005), novel, adaptable and social sports were

selected to investigate within CTG. Evidence presented in Chapter 5 indicates

supporting competence through offering employees a choice (e.g., autonomy)

to adapt sports based upon their and their groups ability (e.g., relatedness)

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may be a feasible strategy for practitioners considering implementing team

sport into a workplace with a mixed-range of perceptions of ability. Consistent

with the findings of Gucciardi and Jackson (2015), the promotion of workplace

team sport may effectively support needs for relatedness through the

leadership of workplace champions and participation of colleagues. Data

indicates the use of workplace champions and peer groups (i.e., colleagues)

can promote determinates of relatedness such as social support, group

membership and identity, and cohesion. Given the social and group nature of

team sport, promoting relatedness within the design of interventions and

programmes is a fundamental step for researchers and practitioners wishing

to implement team sport within the workplace. Meeting needs for relatedness

may improve attendance during the early stages of participation, and

therefore should be considered an important step of promoting a feasible

workplace team sport programme (Kinnafick et al., 2014).

However, given the duration of the intervention (12-weeks), it cannot

be concluded if the feasibility of team sport would be scalable over the long-

term. Likewise, due to sampling from one large private organisation, it cannot

be concluded if team sport is scalable to small to medium sized organisations.

Future research may consider investigating if the behaviour change strategies

utilised in CTG (see Chapter 4 & 5) are feasible over the long-term, and

across a range of organisations and industries.

CTG participants attended 56.42% of sessions once adjusted for non-

attendance (see Chapter 5). The adoption of CTG was considered moderately

successful (75% completed all outcome measures), and comparable with

other workplace team sport programmes (58.5%-75%) (Barene et al., 2014;

Burn et al., 2017). Week-by-Week adoption data (see Chapter 5) suggests

participation can fluctuate due to the influence of intrapersonal, interpersonal,

organisational, environmental and societal factors (Brinkley et al., 2017b;

Sallis et al., 2008). These factors were also found to create obstacles for

participation in a qualitative exploratory study (see Chapter 3) and are widely

reported within the workplace PA literature (Batt, 2009; Marshall, 2004; To et

al., 2013). Therefore, addressing these obstacles must remain a goal of

practitioners and researchers promoting team sport within workplaces.

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Organisational obstacles relating to time, the demands placed on the

workforce, the approval of colleagues and superiors, communication,

management, funding and workplace culture challenge participation. Evidence

suggests the quantity of work is valued by the employer, superiors and

colleagues above the health of employees (Cole et al., 2015). Research has

indicated as workload increased, acceptance for workplace team sport

decreased (Keegan et al., 2016). In agreement, the findings of Chapter 3

indicate employees who participated in team sport were perceived as ‘not

working’ by their colleagues, while employees who ‘worked non-stop’ were

perceived to be productive employees. Likewise, Caperchione et al. (2015)

found the culture within the workplace to influence participation. Whilst, Lee

(1991) argued the management and communication of team sport within the

workplace may influence the level of acceptance and support from within

workplace teams. Consistent with workplace PA literature (see Cole et al.,

2015; Fletcher et al., 2008; Van Bekkum et al., 2011), despite the acceptance

and support of colleagues and superiors, job demands and workplace

pressure challenged the regular participation of the workforce.

While no employers were interviewed within Chapter 3, participants

perceived their employers to support team sport through a duty of care for

their health and wellbeing. A duty of care may be adopted due to the time

employees spend in the workplace, pressure from government policy or

health recommendations from external health promotion partners (Batt, 2009;

Robroek et al., 2012). The findings of Chapter 3 suggest participation in

workplace team sport is indirectly facilitated when a duty of care extended to

funding, communicating and managing workplace team sport programmes

(Robroek et al., 2012). An employer’s willingness to fund, communicate and

support workplace health promotion enables a workplace champion or an

occupational health team’s ability to set-up, manage and deliver team sport

(Adams et al., 2016; Audrey & Procter, 2015; Caperchinea et al., 2015; Pronk

& Kottke, 2009). Evidencing the efficacy of workplace team sport therefore

may be an effective method to raise an employer’s awareness of the benefits

of workplace team sport for their organisation.

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Good evidence has indicated individuals with a knowledge of the

benefits of participation and recommendation for PA are more likely to attend

and maintain participation than those who are not (Abula, Gröpel, Chen &

Beckmann, 2016; Knox, Musson & Adams, 2015). Indeed, educating

employers and the workforce has the potential to influence changes in

organisational policy (e.g., breaks provided to participate) and working

practises over time (e.g., flexible working to participate), key determinants of

consistent and maintained participation in workplace PA (Crespo, Sallis,

Conway, Saelens & Franks, 2011; Lucove, Huston & Evenson, 2007).

Environmental (e.g., lack of sports facilities) challenges to participation

were not reported by CTG participants (see Chapter 5). However, these

factors were identified to challenge participation in Chapter 3. Inaccessible,

sports facilities were addressed by utilising the natural environment (e.g.,

sports fields, parks) close to the workplace, or negotiation with external

stakeholders to use suitable facilities. Due to the intensity in which team sport

is played at, practitioners implementing team sport within the workplace

should consider the process of participation, rather than simply the time taken

to participate alone (e.g., the time taken to change and return to work).

Given the additional equipment, facilities and resources required for

participation, it is plausible environmental challenges may be more identifiable

for employees within workplace team sport than other modes of workplace PA

(Bennie et al., 2010; Renton, Lightfoot & Maar, 2011; Ryde et al., 2013).

However, this should not prevent the promotion workplace team sport. A lack

of equipment or sports facilities may be addressed through contact with

external stakeholders (e.g., sports governing bodies, sports partnerships,

clubs, universities) (Brinkley et al., 2017b). These stakeholders may offer

employees wishing to participate in workplace team sport tangible and

informational support in the form of equipment, resources and sport-specific

knowledge (Keegan et al., 2016; Schaefer et al., 1981). Practitioners should

consider external stakeholders when promoting workplace team sport.

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Limitations and future directions

Research design and measures Findings from Chapters 2, 4 and 5 suggest participation in workplace

team sport may influence positive changes in psychological wellbeing, and

reduce stress and occupational fatigue. Previous studies have found sports

participation to have a positive impact upon mental health outcomes (Adie et

al., 2008; Frederick & Ryan, 1993; Roessler & Bredah, 2006; Thøgersen-

Ntoumani et al., 2014). The measurements of mental health outcomes within

this thesis were statistically underpowered or limited by the qualitative nature.

Future research may consider examining the impact of team sport on

objectively measured markers of stress (i.e., cortisol), repeated-measures of

subjective wellbeing (i.e., momentary mood-states) or a narrative or discourse

based qualitative approach (see Sparkes & Smith, 2014).

Interestingly, data suggests participation in team sport may positively

influence cognitive function within the workplace (See Chapter 5). Cognitive

function is a determinate of individual productivity (Davranche & McMorris,

2009; Mullane et al., 2017; Pronk & Kottke, 2009). Therefore, the use of day

level randomized controlled design studies and objective assessments of

cognitive function (e.g., Stroop-Tests; see Schwartz et al., 2015) may provide

a next step for researchers interested in examining the efficacy of participation

in workplace team sport on organisational health outcomes. Moreover, an

additional reason to pursue this mode of inquiry is due to the translatable

evidence this may create for employers and external stakeholders.

Finally, this thesis has largely focused on what can be considered

traditional team sports (e.g., soccer, netball, basketball). Given the limited

number of sports investigated so far within the research, it may be unwise to

conclude on the success and failure of certain sports within a workplace

setting (Brinkley et al., 2017a, 2017b). Other modes of team sport are

conducted within workplaces. These include office-based team sports,

individual-team sports and outdoor team sports and activities. To date, little

evidence has investigated the efficacy of these modes of team sport within a

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workplace setting. Future research may continue to examine the acceptability,

efficacy and feasibility of these sports to promote health outcomes.

Theoretical framework A strength of this thesis is the use of behaviour change theory (i.e.,

SDT; Deci & Ryan, 2000a, 2000b). SDT was used to interpret the data

regarding the facilitators and obstacles of participation (see Chapter 3) and

underpin the development of a study design (i.e., CTG; see Chapter 4 & 5).

Previous research investigating workplace team sport has neglected the use

of behaviour change theories in their designs, and interpretation of their

findings (e.g., Barene et al., 2013, 2014a, 2014b, 2016; Elbe et al., 2016).

However, whilst a strength of this thesis, this offers only one standpoint to

interpretation of findings and development of study designs.

Recent research has begun to integrate theories of behaviour change

to understand the participation of individuals in PA and sport context. For

example, when examining sports continuation in working age adults,

Gucciardi and Jackson (2015) integrated the Theory of Planned Behaviour

and BNT. Good evidence indicates the integrating SDT with other behaviour

change theories can strengthen the design of studies, and the conclusions

they can draw (Hagger & Chatzisarantis, 2009). Future research therefore

may consider the integration of behaviour change theories in the design of

future workplace team sport programmes. Likewise, implementing

interventions with the Behaviour Change Wheel may become a feasible and

pragmatic means to implement workplace team sport into organisations (see

Michie, van Stralen & West, 2011).

Participants A strength of this thesis is sampling participants across a range of

hierarchical levels within the workforce. However, this is limited by the

absence of data collected from employers (e.g., CEOs, directors). Negotiating

contact time with employers appears to be a challenge of most of the

evidence examining workplace team sport, and indeed workplace PA and

health promotion. Future research may consider obtaining data from CEOs.

This may provide valuable information on an organisations true attitudes,

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intention and feasibility to promote team sport or PA within the workplace, and

may prove particularly useful during the design and evaluation of interventions

and programmes.

Whilst inactive participants were sampled throughout this thesis, a

limitation of this thesis is testing the efficacy of workplace team sport upon

inactive employees with the greatest risk of incurring non-communicable

disease, illnesses and conditions contributing to premature mortality (Blair &

Brodney, 1999; Ding et al., 2016; Ekelund et al., 2016; Hamilton et al., 2008).

Indeed, 89% of intervention group and 85% of control group recruited for CTG

(see Chapter 4) reported meeting PA guidelines (Townsend et al., 2015). This

figure is higher than the national average for working-age adults (67% of

males, 55% of females). This may suggest workplace team sport attracts

primarily active employees, rather inactive employees. Certainly, it could be

argued participants playing workplace team sport would be more likely to

report the benefits of participation, be more motivated to participate and report

different barriers than inactive employees or non-participating employees.

Likewise, a workplace involved in the promotion of sport may provide social

support for participation in a more meaningful way than a largely inactive

workplace. Consequently, an interesting step for future research may be

investigating the acceptability, efficacy and feasibility of participation in

workplace team sport for an inactive workforce and employees who may be

considered amotivated (i.e., a lack of any form of intrinsic and extrinsic

motivation) (Deci & Ryan, 2000a, 2000b, Teixeira et al., 2012).

While the samples in this thesis contain a diverse range of participants,

unavoidable their perceptions, ideas and opinions may not be reflective of all

participants or indeed their participating organisations. Moreover, the

employees within this thesis are broadly heterogeneous. Whilst, a variety of

demographics were recruited, many of the participants within this thesis can

be considered fulltime white middle aged white collar employees. Likewise,

many of the participants sampled within this thesis were from large private

organisations. Future research therefore should consider investigating the

acceptability, efficacy and feasibility of participation in workplace team sport

across a range of individual and organisational demographics including a

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range of industries, sizes of workplace, blue collar workers and employees

from a range of ethnicities.

Contribution to knowledge The findings of this thesis provide comprehensive evidence regarding

workplace team sports, and its impact on individual, social group and

organisational health outcomes. Moreover, the findings of this thesis provide

knowledge for researchers and practitioners on the facilitators and obstacles

to participation, and the feasibility, acceptability and fidelity of participation.

The findings presented within this thesis have important implications for

research, policy and practise.

More specifically, the systematic review presented within Chapter 2

(study one) (see Brinkley et al., 2017a) provides the first comprehensive

systematic review of the evidence supporting participation in workplace team

sport. A major strength of this review is the broad inclusion and exclusion

criteria used, therefore comprehensively synthesising literature and

categorising studies into intervention (e.g., RCT and non-RCT), observational

and qualitative designs. This pooling of evidence draws together the available

data regarding team sports impact on individual, social group and

organisational health outcomes. The findings of the current study add to

literature, and suggest that; the available evidence provides good support that

team sports are effective in improving individual health and moderate support

(due to measurement issues) that team sports may be effective in improving

several group and organisational outcomes. Certainly, this review provides

employers and stakeholders within and external to the workplace with needed

evidence to support the provision of team sport within workplace settings.

Study two (Chapter 3) is the first qualitative study to implicitly explore

the complexity of the facilitators and obstacles underpinning participation in

workplace team sport. Qualitative research exploring the facilitators and

obstacles faced by employees participating in workplace team sport is lacking

and therefore challenging the implementation of programmes. The findings

regarding the facilitators and obstacles influencing participation provide

stakeholders internal (e.g., occupational health teams) and external (e.g.,

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sports partnerships) to the workplace with an overview of the enablers and

challenges encountered when promoting team sport. Whilst these influences

may not be replicable or consistent within all organisations, certainly this data

provides stakeholders an overview of the challenges faced and the factors

which enable participation.

CTG (Study 3; Chapter 4) was the first empirical research to confirm

and expand the limited evidence concerning the efficacy of participation in

workplace team sport on social group and organisational health outcomes.

The findings of the current study expand on the literature investigating the

benefits of workplace team sport (see Chapter 1), and provide empirical

evidence for the effectiveness of this widely adopted form of workplace health

promotion. The data collected within this thesis supports the efficacy of

schemes and programmes organised by government funded external

stakeholders. These inchoatives (e.g., Workplace Challenge, Sportivate and

Last Man Stands) have previously lacked strong evidence to support their

efficacy. Stakeholders would be wise to consider recruiting and training

workplace champions in leading team sport through autonomy support when

promoting team sport. Whilst sporting governing bodies already provide

resources (e.g., booklets, handouts, posters) and training (e.g., taught

courses) to champions, it is unclear if there is a focus on supporting basic

psychological needs for autonomy, competence and relatedness.

Finally, Study four (Chapter 5) was the first research to conduct a

systematic and comprehensive process-evaluation (i.e., RE-AIM guided) of

the acceptability, efficacy and feasibility of participation in a programme of

workplace team sport. The intervention evaluated was the first to provide a

team sport programme that supported basic psychological needs for

autonomy, competence and relatedness (Deci & Ryan, 2000a, 2000b).

Researchers, practitioners and external stakeholders should consider these

original insights when promoting the adoption and maintenance of team sport

within workplace settings. The data presented in this thesis provides a

substantial evidence base to continue the investigation of workplace team

sport. Workplace team sport research should continue to endeavour to

investigate a programme similar to CTG across a range of industries and

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organisations using the same theoretical framework, however utilising more

objective measures of health and productivity over the long-term (>12-

months). The findings of these studies undoubtedly provide needed and

warranted of evidence regarding participation and the promotion of workplace

team sport. These findings have implications for policy, practise and future

research, which have been previously highlighted.

Conclusion The modern workplace may contribute to an increased prevalence for a

host of non-communicable illnesses, diseases and conditions (Blair &

Brodney, 1999; Ding et al., 2016; Eklund et al., 2016; Hamilton et al., 2008).

These outcomes are known to contribute to increased sickness absenteeism

and reduced productivity, which in turn underpin the reduced fiscal health of

an organisation (Ding et al., 2016). Promoting novel modes of PA such as

team sport in community settings such as the workplace has the capacity

mitigate the impact of the workplace and improve individual and

organisational health outcomes (Ding et al., 2016; Eklund et al., 2016; World

Health Organisation, 2010).

This research therefore investigated the acceptability, efficacy and

feasibility of promoting team sport within the workplace. Findings indicate

workplace team sport can improve and maintain the health of employees.

Moreover, participant in team sport may influence changes in communication

and interpersonal relationships between colleagues. These factors may

contribute to changes in organisational health outcomes. Participation is

influenced by intrapersonal, interpersonal, organisational, environmental and

societal factors. Utilising a participatory approach and supporting needs for

autonomy, competence and relatedness through SDT is an acceptable,

effective and feasible method to implement a multiple programme of team

sport into a workplace setting. These findings provide a comprehensive

insight into the promotion and adoption of workplace team sport for

employees across a range of demographics. Organisations, external

stakeholders, practitioners and researchers should consider encouraging

team sport within workplaces to promote positive maintainable adaptations in

individual, social-group and organisational health outcomes.

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Appendices Appendix 1: Systematic review search strategy and assessment

Reproduced from Brinkley et al. (2017a).

Search Strategy

The following search terms were used in a series of combinations (work OR

workplace OR work site OR organisation OR organization OR corporate OR

business OR enterprise OR employee OR worker) AND (group OR team) AND (sport

OR physical activity OR exercise OR physical exercise OR fitness OR health

promotion) AND (intervention* OR trial*) OR programme OR program OR

randomized controlled OR longitudinal OR prospective OR cross-sectional OR

survey OR questionnaire OR qualitative OR interview* OR focus group*) AND

(benefit OR health OR quality of life OR well-being OR weight OR obesity OR body

mass OR diabetes OR blood pressure OR cardiovascular OR cardiorespiratory OR

sickness absence OR sick leave OR sick days OR stress OR presenteeism OR

satisfaction OR productivity OR performance OR team work OR communication OR

team cohesion OR team trust). Additionally, (*) was used to create wildcard searches

(e.g., absence, absenteeism) on database searches, and the literature search was

expanded by exploring the reference lists of the studies included in the review.

Inclusion and exclusion criteria

From the literature on workplace team sports (e.g., Joubert et al., 2011) ‘team

sports’ were defined as ‘employees participating in any type of workplace PA where

interaction takes place between employees in a team or group format to reach a

competitive or non-competitive shared common goal or outcome (e.g., winning, skill-

development, task completion)’. Therefore, any PA meeting this criterion, with either

a competitive (e.g., winning) or non-competitive (e.g., skill-development, task

completion) outcome, was classified as a team sport. Examples include, though are

not limited too; soccer, netball, volleyball, rugby, cycling, walking, swimming, table

tennis, activity challenges, climbing and canoeing. Using this definition, the following

inclusion criteria were developed and studies were selected if they: (i) met the

definition of ‘team sports’; (ii) used team sport as a study variable; (iii) concerned at

least one of the following outcomes for the employee (e.g., cardiovascular or

cardiorespiratory changes; stress; health; well-being; quality of life; BMI/weight

changes; job satisfaction), for the group (e.g., team commitment; communication;

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cohesion; interpersonal relationships; trust) and for the organisation (e.g., sickness

absence; presenteeism; work performance; productivity); and (iv) were conducted

with employees in a workplace setting. Only studies published in English were

included.

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Appendix 2: Changing the Game information sheet, informed consent from, HSQ and waiver from participating organisation.

Participant Information Sheet

Changing the Game: Team Sport at Work

A quasi-experiential study understanding the effect participation in workplace team sport, has on your health, wellbeing and productivity

You are invited to take part in a study to find out whether participation in a team sport

programme (‘Changing the Game’) can improve your health, wellbeing and

productivity. Before you decide whether you would like to take part, it is important

that you understand why the research is being done and what it will involve. Please

read the following information and discuss it if you wish.

Who is doing this research and why? A research team at Loughborough University are conducting this study. This is led by

Andrew Brinkley, a PhD student in the School of Sport, Exercise, and Health

Sciences, supervised by Dr Hilary McDermott and Dr Fehmidah Munir. Our work

aims to understand the benefits sports participation has on your health, and

productivity at work. We are also interested in why you participate in sport and what

types of sport you might like in the future.

Why have I been invited?

You have been invited because you work for Severn Trent Water Limited. We are

looking for employees to take part in team sport during working hours or continue

‘normal’ working activities. One worksite of Severn Trent will play team sport; while

the other will be continue working as normal. What happens if I decide to take part? What is required from me?

If you decide that you are interested in taking part, please complete the informed

consent form and return it to the researcher.

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A member of the ‘Changing the Game’ team will then arrange a time with you so we

can collect some baseline measures. These measures will be delivered at your

workplace, and include a step-test, filling in a brief questionnaire, recording your

height and weight, and completing a diary throughout the duration of the study.

The step test is conducted to measure your fitness. You will be required to step on

and off a 30cm high bench for a maximum of ten minutes. At regular intervals, we will

ask how you are feeling and record your heart rate. The questionnaire contains items

relating to your health, physical activity and role at work, and your work team’s

productivity and communication. It is worth noting that some of these questions may

be sensitive to some individuals. We would like to remind you that these questions

are for research purposes only and your answers will be remain anonymous. Finally,

you will complete an activity diary every day for 12-weeks, each entry will take you

around 2 minutes to complete and will ask for the type, intensity and duration of

physical activity you did that day.

The measures will be delivered by Andrew Brinkley, a PhD student at Loughborough

University. At the start of the study you will be allocated a number, to protect your

identity. All measurements collected from you will be assigned this unique number.

You will be asked to complete these measures at ‘baseline’, after 12-weeks and 6-

months after the baseline measures.

Will I be playing team sport or not?

You and your worksite will then be placed into the intervention or control group. The

intervention group will play team sport over a 12-week period, while the control group

will continue working normally.

If you are in the intervention group, you will play team sport at an indoor location

close to your workplace. You will participate in 40 minute sessions of rounders

(weeks 1 & 7), basketball (weeks 2 & 8), netball (weeks 3 & 9), soccer (weeks 4 &

10), cricket (weeks 5 & 11), handball (weeks 6 & 12). Prior to these sessions you

participate in a taster session. The taster session will provide you a chance to ‘try’

each sport, while the programme sessions provide you with the opportunity to play

each team sport (see above). The sessions will be led by workplace champions in

your organisation, and supervised by a qualified member of staff.

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In order to evaluate the intervention, after 12-weeks, a subset of participants will be

invited to an interview/focus group with the research team. You will be asked

questions on how your physical activity behaviour might have changed (e.g., ‘do you

do more exercise now than you did before?’) and if changes may have occurred in

your workplace.

These interviews/focus groups will last about an hour and will be audio recorded.

These recordings will only be heard by the research team. Direct quotes may be

used in scientific publications, presentations or posters, but will remain anonymous

(i.e., no names will be given). This part of the study is entirely voluntary and you can

take part in the wider study without agreeing to be interviewed.

If you are in the intervention group, you may be observed and asked questions about

your participation and attitudes regarding the programme. These observations will

take place during team sport be record through detailed notes, while interviews will

be audio recorded. To further understand the effectiveness of the intervention, you

will be invited to share your thoughts and opinions about the intervention, the team

sport sessions, and your enablers and obstacles to participation.

How long will it take?

The study will take 7-months to complete including all of the measurements

mentioned above.

Are there any criteria to take part?

To take part in this study, you must be over the age of 18, work at least three days-a-

week on the same worksite, and currently on a permanent contract. You cannot

participate if you under the age of 18, or on a temporary contract, or if you have

planned a holiday or business off site during the study.

Is there anything I need to bring with me?

If you are taking part in the sports programme we suggest you wear clothing and

footwear you feel comfortable exercising in. You may wish to bring some water, and

food and some warm clothing for after each session.

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What personal information will be required from me? At the beginning of the study you will be allocated a number to keep your identity

anonymous. However, we will record some personal information regarding your age,

gender, weight, presence of illnesses/conditions, position in the organisation, and

levels of physical activity.

Do I have to take part? You do not have to take part – it is up to you to decide whether or not you would like

to take part. If you do decide to take part, you will be asked to sign a consent form

once you have had the opportunity to read this information sheet and ask any

questions you might have. You will be given a copy of your signed form to keep for

your own information.

Once I take part, can I change my mind?

Yes! Taking part is entirely voluntary - you don't have to take part if you don't want to.

You may withdraw from this research at any time for any reason and you will not be

asked to explain your reason for withdrawing. You will be able to request that your data

is withdrawn from the study up to 2 months from your participation in the study. After this

time, it may not be possible for you to withdraw your data from the study as the data may

have been aggregated or published. You may withdraw your data, please email

Andrew Brinkley ([email protected]). You will need to provide your allocated

reference number.

Will it cost me anything to take part? No, the measurements will be conducted in your place of work. The sport sessions

will take place within walking distance of your office. There will be no charge to take

part.

Will my taking part in the study be keep confidential? Yes. We will follow ethical and legal practice in accordance with the Data Protection

Act (1998). All information about you will be handled in confidence unless you

disclose that you, or someone else, is in immediate danger of serious harm. Access

to identifiable data (e.g., name) will be limited to members of the research team, and

will be kept on secure University computers. All data will be coded and logged and

may be used for future research in the same theme as this project. Personal details

will not be included in analysis, or in publications or reports. All information collected

during the study will be identified by a unique code so that you cannot be identified

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from it. All data will be kept on secure computer servers and in locked filing cabinets

within a locked office at Loughborough University for up to six years.

What are the possible risks and benefits of taking part? Benefits

Evidence suggests, long periods of inactivity (e.g., sitting) are bad for our health,

wellbeing and performance in the workplace. Initial research has suggested breaking

up this inactive time with team sport may improve our physical fitness and mental

wellbeing, while fostering relationships with our peers and helping us concentrate

more. Benefits of taking part may include improved fitness, weight loss, relationships

with peers and productivity, and reduced stress, fatigue, and muscle stiffness.

Risks

Playing team sport and completing the step-test carries the following risks that we

feel you should be made aware of, as well as some of the things we are doing to

minimise these risks:

• Sensations of fatigue and physical exhaustion – this will be short-lived and

will subside in a few minutes upon stopping exercise. You also may cease

participation at any point.

• Injury from playing sport – the risks of each sport will be explained to you.

You will be given a chance to warm-up prior to playing sport. Please take in to

account you are playing with your peers.

Who do I contact if I have a problem? If you are not happy with how the research was conducted, please contact Ms Jackie

Green, the Secretary for the University’s Ethics Approvals (Human Participants) Sub-

Committee:

Ms J Green, Research Office, Hazlerigg Building, Loughborough University, Epinal

Way, Loughborough, LE11 3TU. Tel: 01509 222423. Email: [email protected]

The University also has a policy relating to Research Misconduct and Whistle

Blowing which is available online at http://www.lboro.ac.uk/committees/ethics-

approvals-human-participants/additionalinformation/codesofpractice.

What will happen to the results of the study? The results of this study will be used to assess the effectiveness of providing a

workplace team sport programme on health, wellbeing and productivity. The findings

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will be presented in an anonymised way and you will not be identified. Findings will

be presented at academic conferences and/or published in academic journals in a

manner relevant to all the participants. No individual data will be reported. It will be

up to your organisation as to how they share the findings.

Who has reviewed the study? To protect your safety, rights, wellbeing and dignity, all research by Loughborough

University is looked at by an independent group of people. This study has been

reviewed in accordance with Loughborough University Research Governance

Procedures and approved by the Ethical Approval (Human Participants) Sub-

Committee.

Who can I contact if I have any questions about the study or if I experience any problems while participating? Please feel free to ask us any questions about the study using the contact

information of the ‘Changing the Game’ research team below. In addition, the team

will be happy to explain anything that is unclear about the project or address any

concerns you have.

Mr Andrew Brinkley ([email protected])

Dr Hilary McDermott ([email protected])

Dr Fehmidah Munir ([email protected])

National Centre of Sport and Exercise Medicine

School of Sport, Exercise and Health Sciences

Loughborough University

Loughborough

Leicestershire, LE11 3TU

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Please retain this sheet for your information

Changing the Game: Team Sport at Work

INFORMED CONSENT FORM

(to be completed after participant Information Sheet has been read) Taking Part Please initial box

The purpose and details of this study have been explained to me. I understand that this study is designed to further scientific knowledge and that all procedures have been approved by the Loughborough University Ethics Approvals (Human Participants) Sub-Committee.

I have read and understood the information sheet and this consent form.

I have had an opportunity to ask questions about my participation.

I understand that I am under no obligation to take part in the study, have the right to withdraw from this study at any stage for any reason, and will not be required to explain my reasons for withdrawing.

I agree to take part in this study. Taking part in the project will include being interviewed and recorded (audio).

Use of Information I understand that all the personal information I provide will be treated in strict confidence and will be kept anonymous and confidential to the researchers unless (under the statutory obligations of the agencies which the researchers are working with), it is judged that confidentiality will have to be breached for the safety of the participant or others or for audit by regulatory authorities.

I understand that anonymised quotes may be used in publications, reports, web pages, and other research outputs.

I agree for the data I provide to be securely archived at the end of the project.

________________________ _____________________ ________

Name of participant [printed] Signature Date

__________________________ _______________________ _________

Researcher [printed] Signature Date

Participant number ...............…….

Gender ...............…….

Date of Birth ...............…….

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Health Screen Questionnaire for Study Volunteers

As a volunteer participating in a research study, it is important that you are currently in good health and have had no significant medical problems in the past. This is (i) to ensure your own continuing well-being and (ii) to avoid the possibility of individual health issues confounding study outcomes.

Please complete this brief questionnaire to confirm your fitness to participate:

1. At present, do you have any health problem for which you are:

(a) on medication, prescribed or otherwise ............ Yes No

(b) attending your general practitioner ................... Yes No (c) on a hospital waiting list ................................... Yes No

2. In the past two years, have you had any illness or injury which required you to:

(a) consult your GP ............................................... Yes No

(b) attend a hospital outpatient department ........... Yes No

(c) be admitted to hospital .................................... Yes No

3. Have you ever had any of the following:

(a) Convulsions/epilepsy ....................................... Yes No

(b) Asthma ............................................................ Yes No

(c) Eczema ........................................................... Yes No (d) Diabetes .......................................................... Yes No

(e) A blood disorder ............................................... Yes No

(f) Head injury ...................................................... Yes No (g) Digestive problems .......................................... Yes No

(h) Heart problems/chest pains .…………………… Yes No (i) Problems with muscles, bones or joints ........ Yes No

(j) Disturbance of balance/coordination ................ Yes No (k) Numbness in hands or feet .............................. Yes No

(l) Disturbance of vision ....................................... Yes No

(m) Ear/hearing problems ...................................... Yes No (n) Thyroid problems ............................................. Yes No

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(o) Kidney or liver problems .................................. Yes No

(p) Problems with blood pressure .......................... Yes No

If YES to any question, please describe briefly if you wish (e.g., to confirm problem was/is short-lived, insignificant or well controlled?) Have you consulted your doctor regarding participation in physical activity?

.......................................................................................................................................

.......................................................................................................................................

.......................................................................................................................................

.......................................................................................................................................

4. Smoking, physical activity and family history

5. Are you currently involved in any other research studies at the University or elsewhere?

Yes No

If yes, please provide details. ………………………………………………………………………………………………

6. Please provide contact details of a suitable person for us to contact in the event of any incident or emergency.

Name: ………………………………………………………………………………………………

Telephone Number: ………………………………………………………………………………………………

Work Home Mobile

Relationship to Participant:…………………………………………………………………………………

(a) Are you a current or recent (within the last six months) smoker?

Yes No

(b) Are you physically active (30 minutes of moderate intensity, physical activity on at least 3 days each week for at least 3 months)?

Yes No

(c) Has any, otherwise healthy, member of your family under the age of 35 died suddenly during or soon after exercise?

Yes No

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Changing the Game: Team Sport at Work

Severn Trent Waiver

(to be completed after participant Information Sheet has been read)

Taking Part Please initial box

STW strongly recommends that you consult with your GP before beginning any exercise programme.

You should be in good physical condition and be able to participate in the exercise.

STW is not a licensed medical care provider and represents that it has no expertise in diagnosing, examining, or treating medical conditions of any kind, or in determining the effect of any specific exercise on a medical condition.

You should understand that when participating in any exercise or exercise programme, there is the possibility of physical injury. If you engage in this exercise or exercise programme, you agree that you do so at your own risk, are voluntarily participating in these activities during your lunch break, assume all risk of injury to yourself, and agree to release and discharge STW from any and all claims or causes of action, known or unknown, arising out of STW’s negligence.

________________________ _____________________ ________

Name of participant [printed] Signature Date

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Appendix 3: Workplace champion training manual.

Changing the Game: Workplace Champion Training

Introduction

Our physical activity programme, ‘Changing the Game’ is developed to

provide accessible team sport in a workplace setting. We hope we can

change the way people view sport and increase their participation and

adherence to team sport within the workplace.

The programme you are helping us deliver is part of a larger research project,

carried out by a team of researchers at Loughborough University. The team

consists of Andrew Brinkley, a doctoral researcher; and his supervisors Dr

Hilary McDermott and Dr Fehmidah Munir. Changing the game has the

support of Severn Trent, and is run in partnership with Coventry University’s

Sports and Recreation Centre.

What benefits does team sport for employees and the organisation?

Evidence suggests participation in workplace team sport can influence

employee health and improve organisational performance. Regular

participation in team sport may improve cardiorespiratory fitness,

psychological wellbeing and musculoskeletal function. Participation in team

sport is linked with cohesion, teamwork and relationships. As a result of these

benefits work-engagement, communication and productivity may also

improve.

What is your role in the program?

Your role is to deliver the team sport sessions to your peers. Workplace

champions ‘coaching’ their colleagues is known to influence motivation and

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behaviour. Sessions will take place for 12-weeks during lunch hours and there

will be one per-week.

How to lead the sessions?

During ‘Changing the Game’ you will coach your colleagues through a taster

session, and 12 sessions of team sport. By leading sessions, you will motivate

and support your peers socially and help them through some of the obstacles

associated with participation.

To assist you in each session, you will be provided a detailed session plan

and a helpful checklist. When leading sessions, you can adapt sports to help

your peers. For example, if someone is struggling to serve overarm in

volleyball, switch the serve to underarm.

Your main aim is to make it as easy and enjoyable to play. This type of

participation is linked to confidence and positive motivation towards an

activity.

You can also reinforce the benefits of playing to participants. Reinforce what

they are participating in is good for their health and wellbeing. Further, if

someone is finding something challenging, we want to create an environment

where they can freely opt out. Try to address the reason why they have opted

out, and alter the sport to make it more enjoyable for them.

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The sessions

- Ten minutes to warm up and familiarise peers with the sports

equipment, at this point try to address any concerns or challenges

faced.

- Following this should be a 30-minute game. This game should be

flexible. Try to support and help your colleagues by adapting the rules

of the sport. Anything goes, feel free to alter from traditions and create

new rules. Try to make the sports as enjoyable, novel and interesting

as possible.

- Try to avoid ‘strong’ competition, rather promote and encourage fun

and enjoyment. Further, where possible encourage group cohesion, try

to get peers talking to each other, and facilitate conversation if

possible.

For some top tips and a helpful checklist please see the hand-out we have

provided.

Contacts

If you have any questions, would like some more information, or anything

else, please feel free to get in touch by email.

Andrew Brinkley

[email protected]

National Centre for Sports and Exercise Medicine, Loughborough University

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Top Tips Team Sport Sessions Checklist Yes/No

Greet your colleagues – Explain sport we are playing and the rules

Ask if participants have any questions

Try to address any concerns and answer any questions. Explain the

session is all about enjoyment and making the sport fun and easy to

play.

Elicit (from colleagues) their experiences of this team sport. Adapt sport

ad-hoc as you see fit

Give your colleagues 10 minutes to ‘warm up’ and familiarize

themselves with the equipment and rules of the sport. Try to address the

‘key’ skills during this period of time. Adapt the sport if required. Help

peers through any obstacles and challenges.

Give your colleagues a chance to pick their own teams. However, try to

make the teams as equal as possible.

If a colleague has experienced any obstacles to team sport or physical

activity try to understand and relate to their issue. Allow them they can

opt out of any part of the session.

During the session, be flexible. Try to make ad-hoc adaptions to the rule

of the sport where fitting.

When the game begins try to promote cohesion in the group. Try and

get people talking and joking. Facilitate conversation if required.

Try to account for the needs of your colleagues when they are playing. If

someone is struggling, maybe change the rules or adapt the session.

Be encouraging, reinforce anything positive. (e.g., scoring a goal)

At the end of the session. If your colleagues have experienced any

benefits (reinforce the benefits that the participant highlights) reinforce

the benefits of participation (e.g., improves fitness, meeting national

guidelines for exercise).

Ask your colleagues if they enjoyed the session? What would they

change how could it be better?

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Date: 10/8/2016

Rounders Equipment needed: Rounders bat x 2; balls (hard & soft) x 4; cones/markers x 6

Duration: 40 minutes

Introduction: Play a game of rounders (1 or 2 innings). Basic rules – ‘bowl it’, ‘hit it’, and ‘run’ as far round the square as you can. Every ‘rounder’ equals one point. ‘I will help you through the game and keep score’ Session plan: Set up = prior to session (Time <10 minutes)

• Set up field. Place 4 cones out in a diamond shape 5 (large) steps apart, with the 5th cone in line with the 4th cone. Place the 6th cone in the centre of the diamond. Place bats near batting cone, balls near bowling cone.

Warm up = <5 minutes (Time 1220-1225) • Allow group to warm up, introduce rules (see below) • Answer any questions • Split group equally • Encourage enjoyment, skills and social aspect of games • Avoid placing emphasis on competition and performance.

Rules • One team bowl, one team bat. Everyone bats. Innings over when everyone on the batting team is out or 15 minutes is up. • Bowl under arm from the bowling cone to the batter (on the batting cone). Ball should be under head and over waist height • Overhead or under waist. Re-bowl ball. • Miss three balls move on to first base. • If ball is hit, run around to the furthest base you can • You can be out if you are caught out (including off walls), or the ball is caught at a base before you arrive there.

Game = 35 minutes (Time 1225-1300) • Play game • Adapted rules for game if required (e.g., if a skill is too difficult). E.g., Use softball if hard ball is hard to hit • Allow anyone to drop in if they are late for the session • Encourage enjoyment, skill-development and social encouragement – try to motivate players, keep people interested.

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Date: 13/7/2016 & 24/8/2016 Netball

Equipment needed: Netball goals; netballs x 2; cones/markers. Bibs Duration: 40 minutes

Introduction: Play a game of netball. Simple rules. ‘I will help you through the game and keep score’

Session plan:

Set up = prior to session (Time <10 minutes)

• Set up pitch. Place cones out in mark the pitch out. Assemble goals, place one at each end of the pitch Warm up = <5 minutes (Time 1220-1225)

• Allow group to warm up, introduce rules (see below). Split group equally • Answer any questions • Encourage enjoyment, skills and social aspect of games • Avoid placing emphasis on competition and performance.

Rules

• Basic rules of netball. Two 15-minute halves. Players can move freely. Players must pass the ball, while keeping a foot grounded. • Players can only move while ‘off the ball’. A turnover will be awarded if a team breaks this rule • To score, throw the ball into the opposition goal. • You may only handle the ball while standing. You may rotate with one foot grounded. • If a goal is scored. The goalkeeper will restart play with a goal throw. • Snatching the ball or contact will result in a free throw to the opposition team • If the ball goes out of play. A throw in will be awarded

Game = 35 minutes (Time 1225-1300)

• Regular rotation of players. Rotate player if a point is scored, if the ball goals out of play, if a foul is given. • Adapted rules for game if required. Be lenient with rules. • Allow anyone to drop in if they are late for the session • Encourage enjoyment, skill-development and social encouragement – try to motivate players, keep people interested.

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Date: 6/7/2016 & 17/8/2016 Basketball

Equipment needed: Basketball/bibs

Duration: 40 minutes

Introduction: Play a game of basketball. Simple rules. ‘I will help you through the game and keep score’

Session plan:

Set up = prior to session (Time <10 minutes)

• Set up court. Make sure court is set out. Make sure nets are down. Lower nets if possible? Warm up = <5 minutes (Time 1220-1225)

• Allow group to warm up, introduce rules (see below). Split group equally • Answer any questions • Encourage enjoyment, skills and social aspect of games. Avoid placing emphasis on competition and performance.

Rules

• Basic rules of basketball. No kicking the ball. No snatching the ball. No holding onto an opposition player. • The ball is moved down the court by passing or dribbling. If you stop dribbling you must pass the ball. You can’t move without dribbling. • Any foul results in a free throw. Inside the ‘D’ (i.e., the goal area) two penalty shots at the net are awarded. • To score, throw the ball through the opposition hoop/net. • If a point is scored. Restart by passing the ball from the line behind the net (baseline) • If the ball goes out of ball. The opposition have possession and must restart with a free-throw from the side line • If a point is scored outside the ‘D’ (i.e., the goal area) three points are awarded

Game = 35 minutes (Time 1225-1300) • Play game = four 6 minute quarters: couple of minutes break in between each quarter. Change ends. Each time. • Regular rotation of players. Rotate players if a point is scored, after 1 minute, or at free will. • Adapted rules for game if required. Be lenient with rules. Allow anyone to drop in if they are late for the session • Encourage enjoyment, skill-development and social encouragement – try to motivate players, keep people interested.

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Date: 20/7/2016 & 31/8/2016 Soccer

Equipment needed: Goals; balls x 2; cones/markers. Bibs Duration: 40 minutes

Introduction: Play a game of soccer (football) (2 halves). Basic rules – no offside. ‘I will help you through the game and keep score’

Session plan:

Set up = prior to session (Time <10 minutes)

• Set up pitch. Assemble goals, place one at each end of the pitch Warm up = <5 minutes (Time 1220-1225)

• Allow group to warm up, introduce rules (see below). Answer any questions • Split group equally • Encourage enjoyment, skills and social aspect of games • Avoid placing emphasis on competition and performance.

Rules

• Basic rules of football. Two 15-minute halves. No offside. No handballs. No slide tackling. Only the goalkeeper may handle the ball. • To score, kick the ball into the opposition goal. If you kick the ball in your own net, an own-goal will be awarded to the opposition team. • If a goal is scored. The goalkeeper will restart play with a goal kick. • If the ball leaves the pitch a throw-in will be awarded (on the side-line with two hands throw ball over head) • Any other foul – e.g., bad tackle, handball will be result in a free kick to the opposition

Game = 35 minutes (Time 1225-1300)

• Play game. Regular rotation of players. Rotate players if a goal is scored, if a foul is given, if the ball goes out of play. • Adapted rules for game if required. Be lenient with rules. • Allow anyone to drop in if they are late for the session • Encourage enjoyment, skill-development and social encouragement – try to motivate players, keep people interested.

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Date: 27/7/2016 & 7/9/2016 Cricket

Equipment needed: indoor cricket set. Extra balls Duration: 40 minutes

Introduction: Play a game of cricket (2 innings). Everyone gets to bat and bowl. Basic rules. ‘I will help you and keep score’

Session plan:

Set up = prior to session (Time <10 minutes)

• Assemble wickets, Place wickets 15 steps apart. Place bats next to wickets. Warm up

• Allow group to warm up, introduce rules (see below) (Time 1220-1300) • Answer any questions • Split group equally • Encourage enjoyment, skills and social aspect of games • Avoid placing emphasis on competition and performance.

Rules

• To score, hit the ball as far as you can into space and run between the wickets, a run is observed every time a player reaches the other wicket

• To score 4 runs hit the back wall with the ball touching the ground. To score 6 runs hit the back wall without the ball touching the floor • Bowl the ball under or over arm to the batter • To get a batter out, hit the stumps with the ball; catch the ball before it touches the floor (you can catch the ball off the side wall,

providing it doesn’t touch the floor first); hit the ball with the stumps before the batter makes it to the wicket • Everyone bowls six balls (an over) and everyone bats. Once everyone has bowled or everyone is out swap bowlers/batters. If everyone

has not batted after 15 minutes, switch batters/bowling teams Game = 35 minutes (Time 1225-1300)

• Play game. If required rotate players. Rotate if a ‘4’ or ‘6’ is scored, if a wicket is taken, or after a run has been scored number dependent • Adapted rules for game if required. Be lenient with rules. Switch teams around if opposition is losing considerable. • Allow anyone to drop in if they are late for the session • Encourage enjoyment, skill-development and social encouragement – try to motivate players, keep people interested.

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Date: 3/8/2016 & 14/9/2016 Handball

Equipment needed: Goals; handballs x 2; cones/markers. Bibs

Duration: 40 minutes Introduction: Play a game of handball. Simple rules. ‘I will help you through the game and keep score’

Session plan:

Set up = prior to session (Time <10 minutes)

• Set up pitch. Place cones out in mark the pitch out. Pitch dimensions 40 steps by 20 steps. Assemble goals, place one at each end of the pitch Warm up = <5 minutes (Time 1220-1225)

• Allow group to warm up, introduce rules (see below) • Answer any questions • Split group equally • Encourage enjoyment, skills and social aspect of games • Avoid placing emphasis on competition and performance.

Rules

• Basic rules of handball. Two 15-minute halves. No kicking the ball. No snatching the ball. • To score, throw the ball into the opposition goal. If you knock the ball in your own net, an own-goal will be awarded to the opposition team. • You may only handle the ball for 3 steps or 3 seconds before passing the ball to a team mate or shooting. • If a goal is scored. The goalkeeper will restart play with a goal throw. • Snatching the ball or contact will result in a free throw to the opposition team • If the ball goes out of play. A throw in will be awarded

Game = 35 minutes (Time 1225-1300)

• Play game • Regular rotation of player. Rotate players if a goal is score, if the ball goes out of play, if a foul is awarded • Adapted rules for game if required. Be lenient with rules. • Allow anyone to drop in if they are late for the session • Encourage enjoyment, skill-development and social encouragement – try to motivate players, keep people interested.

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Appendix 4: Secondary outcome measures questionnaire.

A questionnaire about your health and work

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Your health

The following seven statements are about how you feel at the moment. Please respond to each of the following statements in terms of how you are feeling right now. Please indicate how true each statement is for you at this time, using the following scale. If you have this feeling, indicate how you feel by circling the number (from 1 to 7) that best describes how you feel. 1= Not at all true 2= Usually not true 3= Rarely true 4= Somewhat true

5= Often true 6= Usually true 7= Very true

At this moment, I feel alive and vital

1 2 3 4 5 6 7

I don’t feel very energetic right now

1 2 3 4 5 6 7

Currently I feel so alive right now, I just want to burst

1 2 3 4 5 6 7

At this time, I have energy and sprit

1 2 3 4 5 6 7

I am looking forward to each new day

1 2 3 4 5 6 7

At this moment, I feel alert and awake

1 2 3 4 5 6 7

I feel energized right now

1 2 3 4 5 6 7

The questions in this scale ask you about your feelings and thoughts during the last month. In each case, please indicate with a tick how often you felt or thought a certain way in the last week.

Never

Almost never

Sometimes

Fairly often

Very Often

In the last week, how often have you felt that you were unable to control the

important thing in your life?

In the last week, how often have you felt confident about your ability to handle your personal problems?

In the last week, how often have you felt that things were going your way?

In the last week, how often have you felt difficulties were piling up so high that you could not overcome them?

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1. Counting only days which you work, how many days were you absent from work in the

past 3 months because you were sick or not feeling well? _______________

2. Counting only days which you work, how many days did you go to work in the past 3

months even though you were sick or not feeling well? _______________

3. Please consider your physical and mental health in the last two weeks, and answer

the following questions by circling one of the five options: 1 = excellent 2 = good 3 = moderate 4 = mediocre 5 = poor

Below are five statements that you may agree or disagree with. Using the 1 to 7 scale below, please indicate your agreement with each item by circling the number preceding the item. Please be open in your responding.

1= Strongly disagree 2= Disagree 3= Slightly disagree 4= Neither agree or disagree

5= Slightly agree 6= Agree 7= Strongly agree

In most ways, my life is close to my ideal

1 2 3 4 5 6 7

The conditions of my life are excellent

1 2 3 4 5 6 7

I am satisfied with my life

1 2 3 4 5 6 7

So far, I have gotten the important things I want in my life

1 2 3 4 5 6 7

If I could live my life over, I would change almost nothing

1 2 3 4 5 6 7

3a. How would you evaluate your physical health?

1 2 3 4 5

3b. How would you evaluate your mental health?

1 2 3 4 5

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These questions ask about your fatigue. Please read each question carefully and indicate your response by ticking one of the boxes next to each question.

Yes No

I find it difficult to relax at the end of the working day

By the end of the working day, I feel really worn out

Because of my job, at the end of the working day, I feel rather exhausted

After the evening meal, I generally feel in good shape

In general, I only start to feel relaxed on the second working day

I find it difficult to concentrate in my free time after work

I cannot really show any interest in other people when I have just come home myself

Generally, I need more than an hour before I feel completely recuperated after work

When I get home from work, I need to be left in peace for a while

Often, after a day’s work I feel so tired that I cannot get involved in any activities

A feeling of tiredness prevents me from doing my work as well as I normally would during the last part of the working day

These questions will ask you about the time you spent being physically active in the last 7 days. Please answer each question even if you do not consider yourself to be an active person. Please think about the activities you do at work, as part of your house work, to get from place to place, and in your spare time for recreation, exercise or sport.

1. Think about all the vigorous activities that you did in the last 7 days. Vigorous physical activities refer to activities that take hard physical effort and make you breathe much harder than normal. Think only about those physical activities that you did for at least 10 minutes at a time. Please think about all the vigorous activities that you did in the last 7 days. Vigorous physical activities like heavy lifting, digging, aerobics, or fast bicycling? __________________Days per week

Your physical activity

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1. How much time did you usually spend doing vigorous physical activities on one of those days? __________________Hours per day __________________Minutes per day

2. Think about all the moderate activities that you did in the last 7 days. Moderate activities refer to activities that take moderate physical effort and make you breathe somewhat harder than normal. Think only about those physical activities that you did for at least 10 minutes at a time. During the last 7 days, on how many days did you do moderate physical activities like carrying light loads, bicycling at a regular pace, or doubles tennis? Do not include walking. __________________Days per week

How much time did you usually spend doing moderate physical activities on one of those days?

__________________Hours per day __________________Minutes per day

3. Think about the time you spent walking in the last 7 days. This includes at work and at home, walking to travel from place to place, and any other walking that you have done solely for recreation, sport, exercise or leisure. During the last 7 days, on how many days did you walk for at least 10 minutes at a time? __________________Days per week

4. How much time did you usually spend walking on one of those days? __________________Hours per day __________________Minutes per day

5. This question is about the time you spent sitting on weekdays during the last 7 days. Include time spent at work, at home, while doing course work and during leisure time. This many include time spent at a desk, visiting friends, reading, or

No vigorous physical activities (Skip to question 3)

Don’t’ know/Not sure

No moderate physical activities (Skip to question 5)

Don’t’ know/Not sure

No walking (Skip to question 7)

Don’t’ know/Not sure

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sitting or lying down to watch television. During the last 7 days, how much time did you spend sitting on a week day? __________________Hours per day __________________Minutes per day

6. Please describe below any physical activity (e.g., sport, exercise) you do outside of

work at least once a week?

Taking everything into consideration, how do you feel about your job as a whole? (please circle an option)

Extremely dissatisfied

Very dissatisfied

Moderately dissatisfied

Not sure

Moderately satisfied

Very satisfied

Extremely satisfied

These questions ask about how your work. Please read each question carefully and indicate your response by ticking one of the boxes next to each question.

Almost Never Rarely Sometimes Often

Almost Always

I perform tasks that are expected of me

I go out of my way to help other colleagues

I take time to take a personal interest in other colleagues

I assist my supervisor/manager with his/her work even when not asked

Don’t’ know/Not sure

Your time at work

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These questions ask about how your views on how your team works. Please read each question carefully and indicate your response by ticking one of the boxes next to each question. Strongly

Disagree

Disagree Somewhat

Agree

Agree Strongly

Agree

Supervisors/Managers often praise the quality of our work.

The team is often told by others that it is performing well.

This team is consistently told that it achieves or exceeds its goals.

The following nine statements are about how you feel when working. Please read each statement carefully and decide if you ever feel this way about your role. If you have never had this feeling, circle the “0” (zero) in the space after the statement. If you have had this feeling, indicate how often you feel it by circling the number (from 1 to 6) that best describes how frequently you feel that way. 0= Never 1= Almost never (a few times a year or less) 2= Rarely (once a month or less) 3= Sometimes (a few times a month)

4= Often (once a week) 5= Very often (a few times a week) 6= Always (every day)

When working I feel bursting with energy 0 1 2 3 4 5 6

When working, I feel strong and vigorous

0 1 2 3 4 5 6

I am enthusiastic about my role

0 1 2 3 4 5 6

My role inspires me

0 1 2 3 4 5 6

When I get up in the morning, I feel like working

0 1 2 3 4 5 6

I feel happy when I am working intensely

0 1 2 3 4 5 6

I am proud of the work that I do

0 1 2 3 4 5 6

I am immersed in my role

0 1 2 3 4 5 6

I get carried away when I am working

0 1 2 3 4 5 6

Your teamwork in the workplace

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The following questions are about your psychosocial work environment, and your experience with your colleagues and superiors. Please read each question carefully and indicate your response by ticking one of the boxes next to each question.

Always

Often Sometimes

Seldom Never/hard

ly ever

How often do you get help and support from your colleagues

How often are your colleagues willing to listen to your problems at work?

How often do your colleagues talk to you about how well you carry out your

work?

How often is your nearest superior willing to listen to your problems at

work?

How often do you get help from your nearest superior?

How often does your nearest superior talk about how well you carry out your

work?

These questions ask your own view of how your team works to together to achieve its goals. Please read each question carefully and indicate your response by ticking one of the boxes next to each question. Always Often Sometimes Seldom Never/Hardly

ever

Is there a good atmosphere between

you and your colleagues?

Is there good co-operation between your colleagues at

work?

Do you feel part of a community at your

place of work?

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1. Please state your age?_____________

Are you: Male Female

2. What is your highest qualification?

No qualification AS/A Level Degree

GCSE Further education (e.g.,

BETC) Higher Degree

NVQ Foundation

Degree/Diploma

The following five statements are about communication within your workplace. Please read each statement carefully and decide if you agree with the following statements in your workplace. Please read each statement carefully and indicate your response by ticking one of the boxes next to each statement.

Not at All

Very Little Undecided

Somewhat Very Much

To what extent is the communication

among the members of your team clear?

To what extent is the communication

among the members of your team

effective?

To what extent is the

communication among the members

of your team complete?

To what extent is the communication

among the members of your team fluent?

To what extent is the communication

among the members of your team on

time?

About you?

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3. Are you:

Married/Partnered Single

4. Do you have any dependents?

Yes No

5. Please describe your ethnicity? ________________________________

6. How long have you worked at your organisation? ________Years _______Months

7. What is your job role?_______________________________________

8. What section or department do you work in? __________________________________

9. On average how many hours do you work per week? _______________

10. Do you currently work as part of a team?

Yes No

11. How many teams do you work in? ______________

12. On average, how many people work in your team(s)

- Team 1? ______________

- Team 2? ______________

- Team 3? ______________

Please answer the following question for the team that you most frequently work in:

13. Do you manage a team as a team leader, supervisor or manager?

Yes No

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Appendix 5: Week-by-week physical activity diary.

Participant Number:………………………… Please Start Completing this Diary on the Week Beginning:……………….. Week:……………………..

Day and Date? What physical activity have you participated in?

Duration?

Intensity? (e.g., easy, hard) Time you went to sleep?

Other comments about your

day? Day 1 (e.g.) Date: 07/03/2016

Walked to work. Played Football at lunch. Walked home from work (1.5 miles). Played with my son, hovered the house.

Walking = 30 minutes each way Football = 40 minutes Played with son = half an hour

Pretty hard day, walking in easy. Football and playtime hard work. Fell asleep about 11pm

Was a busy day.

Day 1: Date:

Day 2: Date:

Day 3: Date:

Day 4: Date:

Day 5: Date:

Day 6: Date:

Day 7: Date:

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Appendix 6: Process evaluation questionnaire – post participation.

Changing the Game: Post-programme thoughts and experiences

Please read the following questions and answer with your thoughts and experiences in the corresponding box. Any questions, please feel free to ask.

How did you find out about the programme? What were your general thoughts of it?

What did you like or enjoy about the programme?

What didn’t you like or enjoy about the programme? (How could this be made better?)

Do you think the programme benefited you in any way? (For example, personal, social or workplace benefits)

What motivated or enabled you to take part in the programme? (For example, a supportive manager)

What prevented you from or created a barrier to taking part in the programme? (For example, meetings scheduled during sport)

How did you find your colleagues (workplace champions) leading the sports?

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Whilst taking part in the programme, have you started or were you taking part in any other

physical activity, exercise or sport?

This questionnaire contains items that are related to your experiences with your workplace champion. Workplace champions have different styles of dealing with people. We would like to know more about how you have felt about your encounters with your workplace champion. Your responses are confidential. Please be honest and candid. Please circle the box which best represents how you felt.

1= Strongly disagree

2= Disagree

3= Somewhat agree

4= Neutral

5= Somewhat agree

6= Agree

7= Strongly agree

I feel that my workplace champion provides me choices and options

1 2 3 4 5 6 7 I feel understood by my workplace champion

1 2 3 4 5 6 7 My workplace champion conveyed confidence in my ability to do well in team sport

1 2 3 4 5 6 7 My workplace champion encouraged me to ask questions

1 2 3 4 5 6 7 My workplace champion listens to how I would like to do things

1 2 3 4 5 6 7 My workplace champion tries to understand how I see things before suggesting a

new way to do things 1 2 3 4 5 6 7

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This questionnaire contains items that are related to your experiences of workplace team sport. We would like to know your experiences and feelings with the sports offered throughout this programme.

Your responses are confidential. Please be honest and candid. Please circle the number which best represents how you felt.

1= Not at all true

2= Not true most of the time

3= Somewhat true

4= Neutral

5= Somewhat true

6= True most of the time

7= Very true

I can overcome challenges in the sports I played 1 2 3 4 5 6 7

I was skilled at the sports I played 1 2 3 4 5 6 7

I felt good at the sports I played 1 2 3 4 5 6 7

I felt I had the opportunity to feel good at the sports I played 1 2 3 4 5 6 7

I had the ability to perform well in the sports I played 1 2 3 4 5 6 7

In the sports I played, I had the opportunity to make choices 1 2 3 4 5 6 7

In the sports I played, I had a say in how things were done 1 2 3 4 5 6 7

In the sports I played, I took part in the decision-making process 1 2 3 4 5 6 7

In the sports I played, I got the opportunity to make decisions 1 2 3 4 5 6 7

In the sports I played, I feel I am pursuing goals that were my own 1 2 3 4 5 6 7

In the sports I played, I really had a sense of wanting to be there 1 2 3 4 5 6 7

In the sports I played, I felt I was doing what I wanted to be doing 1 2 3 4 5 6 7

I felt I participated in the sports willingly 1 2 3 4 5 6 7

In the sports I played, I felt I was being to forced to do things that I didn’t want to do 1 2 3 4 5 6 7

I chose to participate in these sports from my own free will 1 2 3 4 5 6 7

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If a similar programme was available would you be willing to take part, lead sessions or organise this within your workplace?

Any more comments?

This questionnaire contains items that are related to your experiences of workplace team sport. We would like to know your experiences and feelings with the sports offered throughout this programme.

Your responses are confidential. Please be honest and candid. Please circle the number which best represents how you felt. 1= Not at all true

2= Not true most of the time

3= Somewhat true

4= Neutral

5= Somewhat true

6= True most of the time

7= Very true

1 2 3 4 5 6 7 In the sports I participated in, I felt close to other people

1 2 3 4 5 6 7 I showed concern for other people in the sports I participated in

1 2 3 4 5 6 7 There were people in the sports I participated in who cared about me

1 2 3 4 5 6 7 In the sports I participated in, there were people who I could trust

1 2 3 4 5 6 7 I had a close relationship with the people I played sport with

1 2 3 4 5 6 7