Transcript
Page 1: The Longitudinal Association of Young Children's Everyday Routines to Sleep Duration

ARTICLE

The LongitudinalAssociation of YoungChildren’s EverydayRoutines to Sleep Duration

Christina Koulouglioti, PhD, RN, Robert Cole, PhD,Marian Moskow, BS, Brenda McQuillan, LCSW,Margaret-Ann Carno, PhD, MBA, RN, CPNP, D,ABSM, FNAP, FAAN,& Annette Grape, LMSW

ABSTRACTIntroduction: Everyday routines promote children’s health.In the present study, we examined whether children’s partic-

Christina Koulouglioti, Assistant Professor, School of Nursing,

University of Rochester, Rochester, NY, and Senior Research

Fellow, Western Sussex Hospitals NHS Trust, Worthing Hospital,Worthing, UK.

Robert Cole, Associate Professor, School of Nursing, University of

Rochester, Rochester, NY.

Marian Moskow, Research Project Coordinator, School of

Nursing, University of Rochester, Rochester, NY.

Brenda McQuillan, Doctoral Student, School of Nursing,

University of Rochester, Rochester, NY.

Margaret-Ann Carno, Assistant Professor, School of Nursing,

University of Rochester, Rochester, NY.

Annette Grape, Doctoral Student, School of Nursing, University of

Rochester, Rochester, NY.

The Rochester Preschool Children’s Injuries Study was supported

by a grant from the Centers for Disease Control and Prevention

awarded to Dr. Robert Cole.

Conflicts of interest: None to report.

Correspondence: Christina Koulouglioti, PhD, RN, University of

Rochester, School of Nursing, Box SON, 601 Elmwood Ave,

Rochester, NY 14642; e-mail: [email protected], or [email protected].

0891-5245/$36.00

CopyrightQ 2014 by theNationalAssociationofPediatricNurse

Practitioners. Published by Elsevier Inc. All rights reserved.

Published online January 28, 2013.

http://dx.doi.org/10.1016/j.pedhc.2012.12.006

80 Volume 28 � Number 1

ipation in everyday routines at ages 4 and 6 years predictedtheir sleep duration at age 6 years.Method: A secondary analysis of data was performed for 177families who participated in the Rochester Preschool Chil-dren Injuries Study. Mothers were interviewed when theirchildren were ages 4 and 6 years and reported on their chil-dren’s everyday routines and perceived sleep duration. Rela-tionships were examined by multiple hierarchical regressionanalysis.Results: It was found that children who participated in morefrequent routines at age 4 years were more likely to do so atage 6 years. Children’s inadequate sleepdurationat age6 yearswas predicted by less frequent routines at age 6 years and byinadequate sleep duration at age 4 years after controlling formothers’ ethnicity, mothers’ education, and family structure.An indirect relationship of routines at age 4 years to sleep atage 6 years through routines at age 6 years was found.Discussion: Continuous engagement in everyday routinesseems to play an important role in children’s sleep acquisi-tion. J Pediatr Health Care. (2014) 28, 80-87.

KEY WORDSRoutines, sleep, children

Sleep is essential for a child’s physical growth andop-timal functioning. The National Sleep Foundation(2009) recommends that preschool children, ages 3 to5 years, sleep about 11 to 13 hours every night. How-ever, national surveys from around the world revealthat children sleep fewer hours every day than thoserecommended, and parents often report sleep prob-lems such as difficulties around bedtime (e.g., goingto bed and staying in bed), falling asleep, and staying

Journal of Pediatric Health Care

Page 2: The Longitudinal Association of Young Children's Everyday Routines to Sleep Duration

asleep through the night (Liu, Liu, Owens, & Kaplan,2005; Mindell & Owens, 2003). An estimated 50% ofparents surveyed in the United States reported suchsleep problems every day, and 77% reported sleepproblems at least one night a week (Mindell,Carskadon, Chervin, &Meltzer, 2004). Similarly, amongAustralian families surveyed, one in five children wasaffected with night wakings, and one in eight childrenhad difficulty falling asleep (Hiscock, Canterford,Ukoumunne, & Wake, 2007).

Short sleep duration and sleep problems putchildren at risk for physical and behavioralproblems. Insufficient sleep increases a child’s risk forbecoming overweight (Carter, Taylor, Willliams, &Taylor, 2011; Spruyt, Molfese, & Gozal, 2011), sustain-

Short sleepduration and sleepproblems putchildren at risk forphysical andbehavioralproblems.

ing anunintentional in-jury (Boto et al., 2012;Koulouglioti, Cole,& Kitzman, 2008),and experiencing bothinternalizing and ex-ternalizing behaviorproblems (Hall, Scher,Zaidman-Zait, Espezel,&Warnock, 2012; Reid,Hong, & Wade, 2009).Sleep also has an im-

pact on executive functioning, with lack of sleep beingrelated to attention deficits (Sadeh, Gruber, & Raviv,2002) and children being inattentive and tired duringthe day (Fallone, Acebo, Arnedt, Seifer, & Carskadon,2001; Vriend et al., 2012). It is also possible that the ef-fect of sleep on executive function could partially ex-plain the documented relation of sleep problems tochildren’s academic underperformance (Curcio,Ferrara, & De Gennaro, 2006).

Many sleep problems in children are related to poorsleep practices, including the absence of a regular bed-time routine, inconsistent sleep and wake-up times,poor quality of sleep environments, and activities thateither interfere with sleep (e.g., a TV in a bedroomand consumption of caffeinated drinks) or reduced ex-ercise (e.g., extensive TV viewing; Hale, Berger,LeBourgeois, & Brooks-Gunn, 2009; LeBourgeois,Giannotti, Cortesi, Wolfson, & Harsh, 2005; Paavonen,Pennonen, Roine, Valkonen, & Lahikainen, 2006).The use of electronic media such as video games, com-puters, and television viewing has been found to relatewith shorter sleep duration and delayed bedtimeamong school-age children and adolescents (Cain &Gradisar, 2010), and the negative effects of media useon children’s health, including aggressive behavior,lack of attention, and obesity have been attributed to in-sufficient sleep (Barlett, Gentile, Barlett, Eisenmann, &Walsh, 2012).

Preschool-age children with regular and consistentbedtime routines usually have less difficulty falling

www.jpedhc.org

asleep and staying asleep through the night (Mindell,Meltzer, Carskadon, & Chervin, 2009); therefore theearly establishment of bedtime routines is consideredcritical in ensuring adequate sleep acquisition amongyoung children. Unpredictable timing and frequencyof everyday activities cultivates insecure feelings andundermines sleep acquisition, possibly by increasingthe child’s anxiety and by not providing the necessarycues for going to bed.Routines are observable, repetitive behavior pat-

terns. Maintenance of routines is believed to be protec-tive of a child’s health through the provision of structureand by facilitating adjustment during transitional pe-riods (Zisberg, Young, Schepp, & Zysberg, 2007). Chil-dren living in unpredictable and less routinized homeenvironments, as described by the ecological theory,are at risk for adverse outcomes. The ecological theorystates that children’s socioemotional functioning andsleep acquisition are particularly at risk for children liv-ing in chaotic home environments characterized bylack of structure, lack of routines, and high levels ofnoise (Bronfenbrenner & Evans, 2000; Evans, 2006).Preschool children living in noisy home environmentshavebeen found to go tobed later, to sleep fewer hours,and to have more difficulty falling asleep (Bruni,Novelli, & Ferri, 2011).Everyday routines are particularly challenging dur-

ing the preschool years when children become moreactive participants in family life. During this develop-mental period, young children are ready to share andvoice their opinions about food choices and when,where, and how to go to sleep (Fiese, 2006). In addi-tion, mothers’ education, mothers’ ethnicity, and familystructure are related to the frequency and nature of ev-eryday routines (Flores, Tomany-Korman, & Olson,2005). Higher maternal education is positively relatedto school-age children’s educational activities(Hofferth & Sandberg, 2001), more frequent family rou-tines (Churchill & Stoneman, 2004), and an increasedprobability for daily reading (Kuo, Franke, Regalado,& Halfon, 2004). Mothers with a college degree reportmore frequent routines compared with those whohave a high school diploma (Koulouglioti, Cole, &Kitzman, 2009), and single-parent families report fewerroutines compared with two-adult families (DeMore,Adams, Wilson, & Hogan, 2005; Koulouglioti et al.,2009). In addition, rates of bedtime routines havebeen found to be slightly lower in African Americanand Latino families than in White families with pre-school children (Milan, Snow & Belay, 2007).It is often said that ‘‘children thrive on routines,’’ but

despite its popularity, this hypothesis is not often tested.In addition, very few studies have explored the stabilityof routines over time and its positive consequences forchildren. Stability of routines over time has been foundto positively relate with children’s academic achieve-ment and negatively with behavior problems and

January/February 2014 81

Page 3: The Longitudinal Association of Young Children's Everyday Routines to Sleep Duration

TABLE 1. Sociodemographic characteristics(N = 177)

Characteristic N %

Educationa

High school or less 74 42.0Some college 37 21.0College graduate or higher 65 36.9

Ethnicity (mother’s race)Majority 86 48.6Minority 91 51.4

Income (per year)a

< $25,000 73 41.5$26,000-$50,000 31 17.6$51,000-$75,000 54 30.7> $76,000 18 10.2

Family structureOne-adult families 46 26.0Two-adult families 114 64.4More than two adults 17 9.6

Child’s genderMale 86 48.6Female 91 51.4

an = 176.

substance use. In particular, children who experiencedregular family routines in a 5-year period had higher ac-ademic achievement scores compared with childrenwho experienced unpredictable family routines forthe same period (Spagnola & Fiese, 2007). Similarly,family stability in everyday activities was related tofewer internalizing behavior problems in school-agechildren (Ivanova & Israel, 2006), and regular familymeals during adolescent years was associated withlower rates of substance use, such as smoking and alco-hol (Eisenberg, Neumark-Sztainer, Fulkerson, & Story,2008).

Given the concurrent association of routines withhealthy sleep among young children, the current studyexplores the lasting effect of children’s participation ineveryday routines at ages 4 and 6 years on sleep dura-tion at age 6years.Withuseof longitudinal data and tak-ing into account sociodemographic risk factors, weexamined the predictive value of everyday routineson sleep acquisition as described by mothers. We con-ducted a secondary data analysis examining the follow-ing research question: Is children’s participation ineveryday routines at ages 4 and 6 years a significant pre-dictor of perceived sleep duration at age 6 years, takinginto account sociodemographic variables and sleepscores at age 4 years? Parents of young children are en-couraged by health care providers to maintain regulareveryday routines, especially bedtime routines, toensure their children’s adequate sleep acquisition.The exploration of routines as a predictor of children’ssleep will provide additional evidence for this recom-mendation.

METHODSParticipantsData for this study were taken from the Rochester Pre-school Children’s Injuries Study. Mothers were inter-viewed when children were ages 3 years (N = 278), 4years (N = 264), and again at 6 years (N = 181). Inter-views were conducted from 2002 to 2007. Data on themainoutcomevariable (sleep at age 6 years)were avail-able for 177 children, who constituted the final sample.The study was approved by the University of Roches-ter’s Research Subjects ReviewBoard, and participatingmothers signed an informed consent at enrollment. Formore information on the scope of the Rochester Pre-school Children Injuries Study, refer to the article byCole, Koulouglioti, Kitzman, Sidora-Arcoleo, and An-son (2009).

The study sample had an almost equal number ofboys (48.6%) and girls (51.4%) and an almost equalnumber of minority (African American and Hispanic)andmajority (White) families. Themean age ofmotherswas 31 (SD = 6.7), with a range from ages 18 to 46 years;in addition, 42% of mothers had a high school/or lesseducation, 21% had some college, and 36.9% had a col-lege degree. The majority of the sample consisted of

82 Volume 28 � Number 1

two-adult families (64.4%), with 26% of families classi-fied as one-adult families (see Table 1).

Main Measures

Children’s routinesRoutines were assessed with the daily living routinessubscale of the Child Routines Questionnaire (Sytsma,Kelley, & Wymer, 2001). The daily living subscale iscomposed of 11 questions rated on a 5-point Likert-type scale ranging from 0 = never to 4 = nearly always.Routines were measured at age 4 and 6 years, and 10 ofthe 11 questions were identical and were included inthe analysis for consistency and simple interpretationof the results. The 10 questions were: (1) has a set rou-tine for getting ready in themorning, (2) eatsmealswithfamily at the table each day, (3) hugs/kisses parent be-fore bed, (4) spends special time talking/reading withparent each day, (5) does the same things each night be-fore bed, (6) wakes up at about the same time onweek-days, (7) eats dinner at about the same time each day,(8) brushes teeth before bed, (9) goes to bed at aboutthe same time on weeknights, and (10) eats breakfastat about the same time and place each day. Mothers re-ported on how regularly each one of these daily activi-ties occurred during the past month. A sum score ofthese 10 questions was computed for ages 4 and 6 yearsand could range from0 to 40,with higher scores indicat-ing more frequent routines of daily living. Internal con-sistency of the 10-item subscale was assessed by thecomputation of Cronbach’s a coefficient, which was0.78 at age 4 years and 0.79 at age 6 years.

Journal of Pediatric Health Care

Page 4: The Longitudinal Association of Young Children's Everyday Routines to Sleep Duration

TABLE 2. Pearson correlation coefficient (r)among main variables

(2) (3) (4)

(1) Sleep age 4 years 0.261** �0.241** �0.166*(2) Sleep age 6 years — �0.220** �0.295**(3) Routines age 4 years — 0.505**(4) Routines age 6 years —

*p < .05.

**p < .001.

Children’s sleepPerceived sleep duration was assessed at ages 4 and 6years with the Sleep Duration subscale (three items)of the Children’s Sleep Habits Questionnaire (Owens,Spirito, & McGuinn, 2000). The Children’s Sleep HabitsQuestionnaire is a validated and widely used screeningtool of children’s sleep problems for children ages 24 to66months (Goodlin-Jones, Sitnick, Tang, Liu,&Anders,2008). Mothers were asked to think of the most typicalweek, meaning a week that was not unusual due to aninjury, vacation, or illness, and respond to the followingthree statements: (1) my child sleeps the right amount,(2) my child sleeps about the same amount each day,and (3) my child sleeps too little. Mothers were askedto rate how often during the week this happened usinga three-point Likert-type scale (i.e., 1 = rarely, 2 = some-times, and 3 = usually). Following the scoring guide-lines for the scale, the computation of the total sumscore of questions 1 and 2 were reverse scored. The fi-nal sum score can range from 3 to 9; a higher score is in-dicative of more disturbed sleep, whereas a low scoreon the scale indicates adequate sleep duration. Internalconsistency was assessed by computation of the Cron-bach’s a coefficient and ranged from 0.67 to 0.69.

DemographicsMaternal educationwasoperationalized as a three-levelcategorical variable and the participants in the studywere categorized into three groups, representing (a)those with a high school diploma or less education,(b) those with ‘‘some college,’’ and (c) those witha bachelor’s degree or higher level of education. Familystructure was operationalized as a three-level categori-cal variable classifying the families of the sample intothree groups: one-adult families, two-adult families,and more-than-two-adult families. Mother’s race wasoperationalized as a two-level categorical variable,with one group representing the mothers identified as‘‘Caucasian’’ (majority) and the second group includingthe mothers identified as ‘‘Black, Hispanic, and Bira-cial’’ (minority).

Statistical AnalysesData were analyzed with SPSS software version 17.Pearson correlation coefficients were calculated be-tween the routines and sleepmeasures. Amultiple hier-archical regression analysis was performed to predictchildren’s sleep at age 6 years by sleep and routinesscores at age 4 years, controlling for maternal educa-tion, maternal ethnicity, and family structure. Further-more, a mediation model was tested, with routines atage 6 years as a mediator to the relationship betweenroutines at age 4 years to sleep at age 6 years. We con-ducted a full mediation analysis using a causal stepapproach and by conducting a bootstrapping regres-sion analysis using a simple sampling method and

www.jpedhc.org

k = 1,000 number of samples (Hayes, 2009; Zhao,Lynch, & Chen, 2010).

RESULTSThe majority of mothers reported that their children re-ceived enough sleep at both time points, with 80.4% ofmothers reporting a low total sleep duration score(scoring 3 and 4 on the sleep duration subscale) atage 4 years and 19.6% of the sample reporting a scorehigher and/or equal to 5 (low scores = adequate sleepduration; high scores = disturbed sleep duration). Sim-ilarly, when children were age 6 years, 83.4% ofmothers reported a low score on the scale (scores 3and 4), with 16.5% of mothers reporting a score higherand/or equal to 5. At age 4 years, the average total sleepduration score was 3.8 (SD = 1.1), and scores rangedfrom 3 to 9. Similarly, at age 6 years, the average totalsleep duration score was 3.5 (SD = 1.1), and scoresranged from 3 to 8. These average scores are similarto previously reported results among community sam-ples (M = 3.4, SD = 0.93), whereas parents of childrendiagnosed with a sleep behavior disorder score at leastone to two points higher on the same subscale (M =4.94, SD = 1.98; Owens et al., 2000).The vast majority of mothers reported that their chil-

dren regularly engaged in everyday routines at bothage 4 and 6 years. The distribution of routines scoreswas negatively skewed at both time points, with a smallpercentage of mothers (10.8%) at age 4 years and only2.8% at age 6 years receiving a score#20 and reportingthat their children rarely and/or sometimes engagedin everyday routines. Routines scores at age 4 yearsranged from 13 to 40, with a mean of 33.4 (SD = 5.4)and median of 35, and at age 6 years they rangedfrom 19 to 40, with a mean of 35.3 (SD = 4.5) andmedian of 37. The inter-correlations among all routinesand sleep measures were statistically significant andranged from r = 0.16 (P < .05) to r = 0.50 (P < .001;see Table 2).A hierarchical multiple regression analysis was per-

formed to predict children’s sleep duration scores atage 6 years based on their overall routines scores atage 4 years, controlling for sleep scores at age 4 years,

January/February 2014 83

Page 5: The Longitudinal Association of Young Children's Everyday Routines to Sleep Duration

TABLE 3. Final regression model for sleep at age 6 years by sleep scores at age 4 years, routinescores at age 6 years, and routines scores at age 4 years

Variable B SE Beta t (p value) Adjusted R square

Constant 5.497 0.868Ethnicity 0.064 0.193 0.028 �0.330 (0.742)EducationCollege graduate or higher 0.105 0.235 0.045 0.445 (0.657)Some college 0.182 0.228 0.066 0.801 (0.424)

Family structureOne-adult families �0.185 0.309 �0.072 �0.599 (0.550)Two-adult families �0.348 0.295 �0.148 �1.182 (0.239)

Sleep age 4 years 0.202 0.074 0.209 2.751 (0.007)*Routines age 6 years �0.063 0.021 �0.253 �2.938 (0.004)*Routines age 4 years �0.009 0.018 �0.043 �0.501 (0.617)

0.11**

Values reported are unstandardized coefficients (B), standard error of B (SE), and standardized regression coefficients (Beta), with signifi-

cance of t and R2 with significance of F. Sociodemographics were dummy coded with minority as the reference group for race, high school

or less as the reference group for education, and families with more than two adult members in the household as the reference group for

family structure.

*p < .01.

**p < .000.

maternal education, maternal ethnicity, and familystructure. Both routines and sleep at age 4 years weresignificant predictors of sleep duration at age 6 years,with lower routines scores and short sleep duration atage 4 years predicting short sleep duration scores atage 6 years.

We further testedwhether routines at age 6 years me-diate the relationship between routines at age 4 years tosleep at age 6 years. Routines at age 6 years were re-gressed on routines at age 4 years, and it was foundthat children who participated in frequent routines atage 4 years were more likely to do so at age 6 years.Then we regressed sleep at age 6 years, on routines atage 4 years, routines at age 6 years, and sleep at age 4years, controlling again for maternal education, ethnic-ity, and family structure (see Table 3). As seen in theFigure, only sleep at age 4 years and routines at age 6years remain significant predictors of sleep at age 6years, whereas the previously identified relationshipbetween routines at age 4 years and sleep at age 6 yearsvanishes. The bootstrap analysis revealed identical re-gression coefficients.

FIGURE. The mediation model.

84 Volume 28 � Number 1

DISCUSSIONIn the present study, we examined children’s participa-tion in everyday routines over a 2-year period and therelationship of routines to children’s sleep duration.The majority of the families in this sample reportedhigh participation in everyday routines when their chil-dren were 4 years and again when they were 6 years ofage. This finding is consistent with the developmentaltrajectories of everyday activities, such as family meals,which are more frequent among young children andexperience a slight decrease among older adolescents(Fiese & Schwartz, 2008). School attendance and im-posed school schedules also might have affectedmothers’ reports of everyday routines. School starttime has been found to strongly predict young chil-dren’s sleep/wake patterns (Zhang, Li, Fok, & Wing,2010), and therefore the high reported rates of routinescould be a reflection of children’s school age and atten-dance.Overall, mothers reported adequate sleep duration

for their children. Consistent with previous reports,however, about 14% of participating families reportedinadequate sleep duration across time. In addition,inadequate sleep duration at age 4 years was a con-sistent significant predictor of children’s inadequatesleep duration at age 6 years, thus validating thefact that children’s sleep problems tend to persist.Children’s inadequate sleep has an effect on theirhealth (Sadeh, 2007) and on family health, with par-ents being more likely to report parental stress andfamily conflict (Smaldone, Honig, & Byrne, 2009).Sleep quality has been found to relate to better schoolfunctioning (Meijer, 2008; Meijer, Habekoth�e, & VanDen Wittenboer, 2000), and sleep problems are

Journal of Pediatric Health Care

Page 6: The Longitudinal Association of Young Children's Everyday Routines to Sleep Duration

related to children’s emotional and behavioral prob-lems (Gregory & Sadeh, 2012); therefore, it is criticalfor clinicians to find effective ways to work withfamilies and solve sleep-related issues early in a child’slife.

We also found that the effects of routines at age 4years on sleep at age 6 years was entirely mediated byroutines at age 6 years. Children who had regular rou-tines at age 4 years were more likely to have routinesat age 6 years, and it was that sustained participation

Regular routinescontribute to thestability andpredictability offamily life and canserve asa protective factorfor an individual’shealth and optimaldevelopment.

in routines that con-tributed to the predic-tion of children’s sleepduration at age 6 years.In addition, althoughthe cross-sectional andlongitudinal inter-correlations amongsleep and routineswere of small to me-dium magnitude, theyremained statisticallysignificant over time.A similar stability insleep/wake scheduleswas found in a longitu-

dinal study among Canadian young children (4 to 6years old), with children’s sleep/wake patterns beingrelated to sleep duration as well (Touchette,Mongrain, Petit, Tremblay, & Montplaisir, 2008). Thestability of these associations supports the hypothesisthat consistent routines are important for the child’shealth andalsopresents evidence that routines are a sta-ble index of family life and have great potential for in-terventions. Moving beyond simple correlations toa predictive model, the present findings provide addi-tional evidence for the National Sleep Foundation rec-ommendations regarding children’s participation inregular routines (National Sleep Foundation, 2009).Regular routines contribute to the stability and predict-ability of family life and can serve as a protective factorfor an individual’s health and optimal development.

Regular sleep/wake times and bedtimes are criticalfor sleep onset and sleep acquisition, but consistentwith previous reports, the nature of bedtime activitiesis also important. We know that children whose bed-time routine includes reading/storytelling or singingget more sleep than do children whose bedtimeroutine includes watching TV (Hale, Berger,LeBourgeois, & Brooks-Gunn, 2011; Mindell, et al.,2004). Parents who struggle to establish or maintainregular sleep/wake cycles might find it helpful tohave as a starting point an early focus on pre-bedtimeactivities. Helping mothers to identify pre-bedtime ac-tivities that are developmentally appropriate, calming,and enjoyable for both the mother and child might bea significant start for the development of other critical

www.jpedhc.org

routines, such as regular sleep/wake times. A recent in-tervention promoting a consistent bedtime routine forinfants and toddlers was found to be effective in reduc-ing problematic sleep behaviors, number and durationof night wakings, and latency to sleep onset (Mindell,Telofski, Wiegand, & Kurtz, 2009).Bedtime routines and sleep/wake patterns are im-

portant for sleep acquisition, but in this study, routinesaround eating (such as having regular family meals)also were part of mothers’ report in the children’s rou-tines measure. Knowing that children’s food consump-tion (e.g., the consumption of caffeinated drinks) isassociated with their sleep (Calamaro, Mason, &Ratcliffe, 2009) is important; therefore, we need to ac-knowledge these inter-connections and expand our as-sessments of children’s routines beyond bedtimeroutines. In addition, it was recently reported that sleepbehavior problems and feeding problems tend to coex-ist among young children (Tauman et al., 2011). By ex-ploring the nature and structure of children’s everydayroutines, along with the frequency and consistency ofa set of everyday routines that are critically connectedto children’s diet and sleep acquisition,wewill bebetterpositioned to assist families and help their childrensleep better. Future studies should include objectivemeasures of sleep and measures of other possible con-founders, such as additional aspects of sleep hygiene(e.g., children’s room environment), which also are as-sociated with the experience of sleep problems amongchildren (Spruyt, O’Brien, Cluydts, Verleye, & Ferri,2005).The major limitations of this study are the self-

reported nature of the data and having a singleinformant, only the children’s mother. However, thetemporal sequence of the data provided the opportu-nity to test a predictive model.Finally, the present findings provide additional evi-

dence for clinicians in supporting parental efforts forconsistent everyday routines. Nurses, especially pediat-ric nurses, are usually the first to observe and/or hearparents’ concerns about sleep. They also care for chil-dren from different ethnic and cultural backgrounds,and even though bedtime routines are a common activ-ity across cultures, the way that young children are putto bed,where they sleep, andwithwhom they sleep aresignificantly influenced by culture. Knowing that pa-rental behaviors during bedtime and during the nighthave been found to be the best predictors of young chil-dren’s sleep duration across cultures (Mindell, Sadeh,Kohyama, &Hwei Howd, 2010) emphasizes the impor-tance for clinicians to dedicate enough time when con-sulting with families about sleep. Clinicians couldemphasize to parents who struggle with institutingand maintaining bedtime routines that parents’ effortscan have a profound impact on children’s sleep asthey go through stages of development. Cliniciansalso need to address these issues with sensitivity and

January/February 2014 85

Page 7: The Longitudinal Association of Young Children's Everyday Routines to Sleep Duration

should be aware of the associations between children’ssleep problems and the mother’s emotional health.Mothers’ depressive symptoms usually are related tochildren’s sleep problems (El-Sheikh, Kelly, Bagley, &Wetter, 2012), and therefore these consultations needto happen with the understanding that children’s sleepproblems are family health issues and cannot be ad-dressed in isolation and without considering the bestways to engage and partner with parents for achievingbest outcomes. Adopting a family-centered approachby being responsive and acknowledging the family’sneeds has been considered a successful way to consultwith parents of overweight children (Farnesi, Newton,Holt, Sharma, & Ball, 2012), and clinicians could utilizesimilar practices while talking with parents of youngchildren about sleep and the initiation andmaintenanceof everyday routines.

REFERENCESBarlett, N. D., Gentile, D. A., Barlett, C. P., Eisenmann, J. C., &

Walsh, D. A. (2012). Sleep as a mediator of screen time effectson US children’s health outcomes. Journal of Children and Me-

dia, 6(1), 37-50.Boto, L. R., Crispim, J. N., de Melo, I. S., Juvandes, C., Rodrigues,

T., Azeredo, P., & Ferreira, R. (2012). Sleep deprivation and ac-cidental fall risk in children. Sleep Medicine, 13(1), 88-95.

Bronfenbrenner, U., & Evans, G.W. (2000). Developmental science inthe 21st century: Emerging questions, theoretical models, re-search designs and empirical findings. Social Development,

9(1), 115-125.Bruni, O., Novelli, L., & Ferri, R. (2011). Sleep disturbance in children

by noise. In J. Nriagu (Ed.), Encyclopedia of environmental

health (pp. 88-94). New York, NY: Elsevier Science.Cain, N., & Gradisar, M. (2010). Electronic media use and sleep in

school-aged children and adolescents: A review. Sleep Medi-

cine, 11(8), 735-742.Calamaro, C. J., Mason, T. B. A., & Ratcliffe, S. J. (2009). Adoles-

cents living the 24/7 lifestyle: effects of caffeine and technologyon sleep duration and daytime functioning. Pediatrics, 123(6),e1005-e1010.

Carter, P. J., Taylor, B. J., Willliams, S. M., & Taylor, R. W. (2011).Longitudinal analysis of sleep in relation to BMI and body fatin children: The FLAME study. BMJ, 342, d2712.

Churchill, S. L., & Stoneman, Z. (2004). Correlates of family routinesin Head Start families. Early Childhood Research & Practice,

6(1), 1-19.Cole, R., Koulouglioti, C., Kitzman, H., Sidora-Arcoleo, K., & Anson,

E. (2009). Maternal rules, compliance and injuries to pre-schoolchildren. Family Community Health, 32(2), 136-146.

Curcio, G., Ferrara, M., & De Gennaro, L. (2006). Sleep loss, learningcapacity and academic performance. Sleep Medicine Reviews,

10(5), 323-337.DeMore, M., Adams, C., Wilson, N., & Hogan, M. B. (2005). Parent-

ing stress, difficult child behavior, and use of routines in relationto adherence in pediatric asthma.Children’s Health Care, 34(4),245-259.

El-Sheikh, M., Kelly, R. J., Bagley, E. J., & Wetter, E. K. (2012). Pa-rental depressive symptoms and children’s sleep: The role offamily conflict. Journal of Child Psychology and Psychiatry,

53(7), 806-814.Evans, G. W. (2006). Child development and the physical environ-

ment. Annual Review of Psychology, 57, 423-451.Eisenberg, M. E., Neumark-Sztainer, D., Fulkerson, J. A., & Story, M.

(2008). Family meals and substance use: Is there a long term

86 Volume 28 � Number 1

protective association? Journal of Adolescent Health, 43(2),151-156.

Fallone, G., Acebo, C., Arnedt, J. T., Seifer, R., & Carskadon, M. A.(2001). Effects of acute restriction on behavior, sustained atten-tion, and response inhibition in children. Perceptual and Motor

Skills, 93(1), 213-229.Farnesi, B.-C., Newton, A. S., Holt, N. L., Sharma, A. M., & Ball,

G. D. C. (2012). Exploring collaboration between cliniciansand parents to optimize pediatric weight management. PatientEducation & Counseling, 87(1), 10-17.

Fiese, B. H. (2006). Family routines and rituals. New Haven, CT: YaleUniversity Press.

Fiese, B. H., & Schwartz. (2008). Reclaiming the family table: Meal-times and child health and wellbeing. Social Policy Report,

22(4), 3-18.Flores, G., Tomany-Korman, S. C., & Olson, L. (2005). Does disad-

vantage start at home? Racial and ethnic disparities in health-related early childhood home routines and safety practices.Archives of Pediatric & Adolescent Medicine, 159(2), 158-165.

Goodlin-Jones, B. L., Sitnick, S. L., Tang, K., Liu, J., & Anders, T. F.(2008). The Children’s Sleep Habits Questionnaire in toddlersand preschool children. Journal of Developmental & Behavioral

Pediatrics, 29, 82-88.Gregory, A. M., & Sadeh, A. (2012). Sleep, emotional, and behavioral

difficulties in children and adolescents. Sleep Medicine Re-

views, 16, 129-136.Hale, L., Berger, L. M., LeBourgeois, M. K., & Brooks-Gunn, J.

(2009). Social and demographic predictors of preschoolers’bedtime routines. Journal of Developmental and Behavioral Pe-

diatrics, 30, 394-402.Hale, L., Berger, L. M., LeBourgeois, M. K., & Brooks-Gunn, J.

(2011). A longitudinal study of preschoolers’ language-basedbedtime routines, sleep duration, and well-being. Journal ofFamily Psychology, 25(3), 423-433.

Hall, W. A., Scher, A., Zaidman-Zait, A., Espezel, H., & Warnock, F.(2012). A community-based study of sleep and behaviour prob-lems in 12- to 36-month-old children. Child: Care, Health and

Development, 38(3), 379-389.Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation

analysis in the new millennium. Communication Monographs,

76(4), 408-420.Hiscock, H., Canterford, L., Ukoumunne, O. C., & Wake, M. (2007).

Adverse associations of sleep problems in Australian pre-schoolers: National population study. Pediatrics, 119(1), 86-93.

Hofferth, S. L., & Sandberg, J. F. (2001). How American childrenspend their time. Journal of Marriage and the Family, 63(2),295-308.

Ivanova, M. Y., & Israel, A. C. (2006). Family stability as a protectivefactor against psychopathology for urban children receivingpsychological services. Journal of Clinical Child and Adolescent

Psychology, 35(4), 564-570.Koulouglioti, C., Cole, R., & Kitzman, H. (2008). Inadequate sleep and

unintentional injuries in young children. Public Health Nursing,

25(2), 106-114.Koulouglioti, C., Cole, R., & Kitzman, H. (2009). The role of children’s

routines of daily living, supervision, and maternal fatigue in pre-school children’s injury risk. Research in Nursing & Health,

32(5), 517-529.Kuo, A. A., Franke, T. M., Regalado, M., & Halfon, N. (2004). Parent

report of reading to young children. Pediatrics, 113(6 part 2),1944-1951.

LeBourgeois, M. K., Giannotti, F., Cortesi, F., Wolfson, A. R., &Harsh, J. (2005). The relationship between reported sleep qual-ity and sleep hygiene in Italian and American adolescents. Pedi-atrics, 115(1), 257-265.

Liu, X., Liu, L., Owens, J. A., & Kaplan, D. L. (2005). Sleep patternsand sleep problems among schoolchildren in the United Statesand China. Pediatrics, 115(1 Suppl), 241-249.

Journal of Pediatric Health Care

Page 8: The Longitudinal Association of Young Children's Everyday Routines to Sleep Duration

Meijer, A. M. (2008). Chronic sleep reduction, functioning at schooland school achievement in preadolescents. Journal of SleepResearch, 17(4), 395-405.

Meijer, A. M., Habekoth�e, H. T., & Van Den Wittenboer, G. L. H.(2000). Time in bed, quality of sleep, and school functioning ofchildren. Journal of Sleep Research, 9(2), 145-153.

Milan, S., Snow, S., & Belay, S. (2007). The context of preschoolchildren’s sleep: Racial/ethnic differences in sleep locations,routines, and concerns. Journal of Family Psychology, 21(1),20-28.

Mindell, J. A., Sadeh, A., Kohyama, J., & Hwei Howd, T. (2010). Pa-rental behaviors and sleep outcomes in infants and toddlers: Across-cultural comparison. Sleep Medicine, 11, 393-399.

Mindell, J. A., & Owens, J. A. (2003). A clinical guide to pediatric

sleep: Diagnosis and management of sleep problems. Philadel-phia, PA: Lippincott Williams & Wilkins.

Mindell, J., Carskadon,M., Chervin, R., &Meltzer, L. (2004).Summary

of findings: 2004 Sleep in America Poll. Retrieved from http://www.sleepfoundation.org/sites/default/files/FINAL%20SOF%202004.pdf

Mindell, J. A., Meltzer, L. J., Carskadon, M. A., & Chervin, R. D.(2009). Developmental aspects of sleep hygiene: Findingsfrom the 2004 National Sleep Foundation Sleep in AmericaPoll. Sleep Medicine, 10(7), 771-779.

Mindell, J. A., Telofski, L. S., Wiegand, B., & Kurtz, E. S. (2009). Anightly bedtime routine: Impact on sleep in young childrenand maternal mood. Sleep, 32(5), 599-606.

National Sleep Foundation. (2009).Children and sleep.Retrieved fromhttp://www.sleepfoundation.org/article/sleep-topics/children-and-sleep

Owens, J. A., Spirito, A., & McGuinn, M. (2000). The Children’s SleepHabits Questionnaire (CSHQ): Psychometric properties of a -survey instrument for school-aged children. Sleep, 23(8),1043-1051.

Paavonen, E. J., Pennonen, M., Roine, M., Valkonen, S., & Lahikai-nen, A. R. (2006). TV exposure associated with sleep distur-bances in 5- to 6- year old children. Journal of Sleep

Research, 15, 154-161.Reid, G. J., Hong, R. Y., & Wade, T. J. (2009). The relation between

common sleep problems and emotional and behavioral prob-lems among 2- and 3-year-olds in the context of known riskfactors for psychopathology. Journal of Sleep Research,

18(1), 49-59.

www.jpedhc.org

Sadeh, A. (2007). Consequences of sleep loss or sleep disruption inchildren. Sleep Medicine Clinics, 2, 513-520.

Sadeh, A., Gruber, R., & Raviv, A. (2002). Sleep, neurobehavioralfunctioning, and behavior problems in school-age children.Child Development, 73(2), 405-417.

Smaldone, A., Honig, J. C., & Byrne, M. W. (2009). Does assessingsleep inadequacy across its continuum inform associationswith child and family health? Journal of Pediatric Health Care,

23(6), 394-404.Spagnola, M., & Fiese, B. H. (2007). Family routines and rituals. A

context for development in the lives of young children. Infants& Young Children, 20(4), 284-299.

Spruyt, K., Molfese, D. L., & Gozal, D. (2011). Sleep duration, sleepregularity, body weight, and metabolic homeostasis in school-aged children. Pediatrics, 127(2), e345-e352.

Spruyt, K., O’Brien, L. M., Cluydts, R., Verleye, G. B., & Ferri, R.(2005). Odds, prevalence and predictors of sleep problems inschool-age normal children. Journal of Sleep Research, 14(2),163-176.

Sytsma, S. E., Kelley, M. L., &Wymer, J. H. (2001). Development andinitial validation of the Child Routines Inventory. Journal of Psy-chopathology and Behavioral Assessment, 23(4), 241-251.

Tauman, R., Levine, A., Avni, H., Nehama, H., Greenfeld,M., & Sivan,Y. (2011). Coexistence of sleep and feeding disturbances inyoung children. Pediatrics, 127(3), e615-e621.

Touchette, E., Mongrain, V., Petit, D., Tremblay, R. E., & Montplaisir,J. Y. (2008). Development of sleep-wake schedules duringchildhood and relationship with sleep duration. Archives of Pe-diatric Adolescent Medicine, 162(4), 343-349.

Vriend, J. L., Davidson, F. D., Corkum, P. V., Rusak, B., McLaughlin,E. N., & Chambers, C. T. (2012). Sleep quantity and quality inrelation to daytime functioning in children. Children’s Health

Care, 41(3), 204-222.Zhang, J., Li, A. M., Fok, T. F., & Wing, Y. K. (2010). Roles of parental

sleep/wake patterns, socioeconomic status, and daytime activ-ities in the sleep/wake patterns of children. The Journal of Pedi-atrics, 156(4), 606-612.

Zhao, X., Lynch, J. G., Jr., & Chen, Q. (2010). Reconsidering Baronand Kenny: Myths and truths about mediation analysis. TheJournal of Consumer Research, 37(2), 197-206.

Zisberg, A., Young, H. M., Schepp, K., & Zysberg, L. (2007). A con-cept analysis of routine: Relevance to nursing. Journal of Ad-vanced Nursing, 57(4), 442-453.

January/February 2014 87


Top Related