pac335doc.ukdataservice.ac.uk/doc/3560/mrdoc/pdf/a3560dab.pdfgus mus inf blo ski oth men dkna nonmen...

3560

‘~ Number Variable name

1234567891012131415161718

) 192021222324252627262930313233343536

I 37383940414243444546475960616263-6465

t 66

SUBSEXAGE5YRAGEI OYRSUBMARSTSUBETHNETHNIC4HHDSIZEHHDTYPEAHHDl_YPEBFAMTYPECTENURECARORVANINDGRINCHHDGRINCSEGHHHLDWORKSTATSICKDAYSTIMEUNEMALCLOCALCSYMPTALCBINGEALCBELLALCSPOUSALCRELSALCFRNDSALCJOBPRALCPOLPRALCPHTHPRALCACCSALCDEPALCDEPGRPIPECIGGIESCIGARSTARCIGSINJECTYSTOPDRKFRBINGEDRDI SUMMAD2SUMMAD3SUMMAD4SUMMAD5SUMMAD6SUMMAD7SUMMA

NOADLDIFNOSLEPsss

PSSSGRQSHANDYQBEERQSPIRITQSHERRY

QWINE

Variable Label

Sex of subjectAge m 5 year age bandsAge m 10 year age bandsMarital StatuS of SUbJ.SCl

Ethmclty of subjectFourfold ethnic ctasaticetlonNumber of people m householdHousehold tyIM AHousehold type BDetailed family umt typeTenureNoofcare orvans ‘Subjects grouped weekly grossed mmmeHseholds grouped weekly grossed incomeSEG of head of householdSummaryofworkmg statusGrouped days off sick last yearYears since last workedAlcohol dependence IoeeofcontrolAlmholdependenos sympomatlcbehawourAlmhol Dependence bmgednnklngAlmhlX Consequences BelligerenceAlcohol Consequencea Spousa problems

Alcohol Consequences Reltve problemsAlcohol Consequcmces Friend problemsAlcohol Consequences Job problemsAlcohol Consequences Policapmblems,Alcohol Conaequenc.& Health problemsAlcohol Consequences AccidentsAlcohol dependence sndexAlcohol dependence index grouped’Amourrl of plpa amokmgClgarettesmokmg number perdayCigar smokingTar level of cigarettesInjecting drugsDnnkmg reasons forstoppmgFrequency of binge dnnkmQDifficulties with personal c-areDlfricultles with using transportDlfficultles with medical careDfficultles wtth household acbwtlesDlfIicultles with pracbcal actwltlesDificulhes with paperworkDtficultles with managmg money

NoofADLdhlwltlesNo of stressful hfe eventsPerceived social support scorePercewed social support score groupedEsl weekly umts-shandyEsf weekly umte-BeerEst weekly umts-spmt

Est weekly unds-she~Eak weekly umta-wme

. i

-) 6768

82979898100101102103lIM105106107106108110111112113lf4116116117118119120121f22123124125128127128129130131132133134135136137138139140141142143la145146147148

DRATINGDRATEGRScSERVPROFHHSIZEWTAGESEXWTFINALWTFLAPFOURFLAPTWOQUAL4ACCOM4OWNSORNOMANUORNOTENURE4

REGION3SYMPISYMP2SYMP3SYMP4SYMP5SYMP6SYMP7SYMP8SYMP9SYMP1OSYMP11SYMP12SYMP13SYMP14F3200F3201F321OF3211F322MILDDEPMODDEPF4000F4001F401F402F410F411F412F42DIAGNOSDIAGN07PHOBAGOIUALCDEP2DRGDEPDRGDEP2PSYCHOTNUMBDISNUMBDIS2

Est!mated weekly umtsSex and alcohol mnsumphon rating groupedSocial class of HoHSerwce use profileWeightWeightFinal weightCIS-R score m 4 groupsCIS-R score m 2 groups4 levels of quahticatlon4 types of ac.commodatlonOwner occupier or renterNonmanual ormanual work4 types of tenureNoneCountrysomatic symptonsfatiguecondforgetfulsleep probsmitabihtyworry/phys healthdepressiondepresswe Ideas

worryanxietyphobiaspamccompulsionsobseeslonsMild depreeslve episode wthout samatlc symptomMild depresewe episode with somatic symp+omsModerate dep episode without Somatic symfxomsModerate dep epEmde with Somatic symptomsSevere depresswe episodemild depressionmoderate depressionagora w/o panicagora with pamcsocial phobia [SOC PHOB]specific (E@ phobia [SPEC PHOB]pamc dlsotder [PANIC]generahsed anxiety dlso~er [GAD]mixed anxiety/dapresswe disorder [MAD]obsesswe compulswe disorder [OCD]11 categ hlerarch disorderdisorders 7 hlerarchany phobiaanyagoraphobiaalc dependence m 2 cetegonesdrug dependence m 2 categoriesdrug dependence m 2 cstegonesDlagnosls of psychosis?number of disordersnumber of dlsonlem

149150151152153154155156157158159160161162163154165166167168169176176177178179181182183184185186187189190191

) 192183184f 95196197188199200201202203204205206207208209

1 210

FALSPOSCANENDCNSEYEEARCHDRESDIGGUSMUSINFBLOSKIOTHMENDKNANONMEN

ALLCOMOSCANCODEVSCANCODEALLOCDATPSYNOOUTCOMECode 101Code 199Code 202code 204code 205code 206code 208code 209code 212code 299code 411code 412code 413code 401code 421code 422code 423code 402code 431code 432code 433cede 434code 403code 440code 404code 451code 452code 405code 460

whether false posmve at b scheduleCancws Long mterwew onlyEndocnnelmetabohc DittoNewoussystem Dhtoeyecomplamfa DItfoearmmplamts DIftoheart, veeeels, cmculatlon DIftoresplrato~ DIftodlgestwe Dittogento-urma~ DItfomusculc- skeletal DIftomfecf}ons, parasites Dittoblood dlsordem Dlftoskin complamts DItloother complamts Dittomentallorgamc Dittomsufriclent mfoNonmen Onotpresent, l presentneumsls and other illnessesneumsls and other illnessesneumsls and other dlsordemnonenone(ongmal date allocated)nonenoneUses antacid and other ulcer drugsUses other gaatro-mteefmal dregsUses dmretmUses belablockersuses antlhypertenswe drugsUse mtrate and ca-channel blocketsUses antm.oagulants & protamineuses antiplatelet drugsuses hpld Iowenng drugsuses other CVS drugsuses hypnoticsuses antloxlyllcsuses bartvturatesuses hypnotme 6 anxlolyhcsuses antlpsychohc drugsuses antlpsychotlc depotsuses antlmanmsuses drugs used m psychoses& relateduses tncychc 6 antldep drugsuses MAOI’Suses compound antldep dregsuses other antldep drugsuses antidepressantsuses CNS aflmulantsdittouses bulk forrmng drugsuses appetite suppressantsuses dlfo plus bulkformmg drugsuses drugs used m vertigo 6 nausea

,,

? 3

) 211212213214216216217218219220221222223224225226227228

) 2292302312322342362362372382392402412422432U245246247

\ 2482492602s12522632642662S6267258269260261262263264265

}266

code 406code 471code 472code 473code 474code 407wde 481code 482wde 483code 408code 491code 492wde 493code 409code 410code 501mde 599code 601cmde 602code 603code 604code 699code 702code 703code 901cnde 999xnyglsysxnycvsysxnyresysxnycnsysxnymfecxnyendocxnygusysxnymahgxnynutblxnymssysxnyeyedrxnyskmsanygwysanyresysanycnsysanymfecanyendocanygusysanymahganynutblanymssysanyeyedr

tnyglgystnycvsys

tnycnsystnymfectnyendoc

dittouses non-opvxi analgesmsuses oplod analgesicsTngemmal neuralglauses antlmlgrame drugsuses analgescscontrol of eplllepsyuses statusepllepflcus drugsfebrile convulsionsuses antleplleptlcsuses dopammerglc drugsuses antlmuscenmc dregsuses drugs for tremor tm.schoresuses drugs for parkinsomsmuses drugs for substance depuses anti baclerial drugsuses other anti mfechon drugsuses drugs for diabetesuses thyroid 6 anbthyrotd drugsuses cmcosteroldsuses sex hormonesuses other endocnne drugstreatment of vaginal vulval cnndttionsuses wntraceptwesanaemlas & other blood disordersfluids electrolytes mmerals vitammsanygastromtestmal short mterwew

anycardoVaSCUlarSySlemdregs short MterVieW

anyrespiratory syetemdmgs shorfinterwew

any CNSdNgs short mtemew

anyantl mfedlon drugs shorfmterwew

anyendocnne drugs ShOftlIIt.SNh9W’

any GUsysiem drugs shwtmterwew

anymahgnantd rugsort mmunosuppresants shorti

anynutntlon &blood dregs short mterwew

anymusculoskeletal dwgs short mtemew

any eye drugs shorfmterwew

anyskm preparations short mtervfew

anygastromteetmal Iongmterwewany respmatow SYSdrugs long mterwew

any Cns dregs long lflteMewany anti mfectlon drugs long krterv/ew

any endocnne dregs long mtemew

any GU SYSdrugs /ong mteff)ew

anymalignant dregs/ Immunosuppresants long inter

anynutntlon h blocd drugs long mterwew

any musculo skeletal drugs long mferwew

any eye drugs long mterwew

any skm preparations long mtemew

any gastro mtestmal whole sample

any cerdIo vascular system drugs Mole sampleany rasp sys dregs whole sample

anycnsdrugswholesample

anyanti mfec dregs who/e sample

any endocrine drugs whole sample

4

268269270271272273274276276277276279280281282283284

) 2852862872882882902912822832842962862s7298298m301302

)303304306.W63073063083103113723f3314315316317318-319320

tnygusystnymahgInynutbltnymeeystnyeyedrtnyskmscanxendxcnsxeyexeamchdxreaxdlgxguax

musxmfxbloxSksxolhxoldxmenxVitxdknaxnonmenxtcsntendtensteyeteartchdtrestdlg

tgustmustmftblotsk~tpthtoldtmentvlttdknatnonmenIpphyslpmenttpbthopphysopmentopbothdsatphysdsatmentdsatbothtotvlslttotlos

any GU sys drugs whole sample

any mallgnantlimmunosuppmant drug w#ro/e sam

any nutntlon & blood drugs whcde sample

any muswlo skeletal drugs Mole sampre

any eye drugs whole sampJe

any skm preparations whole samplecancer short Merwew

endocnne short mtervraw

newous sys short mterwew

eye mmplamts short mterwew

ear rmmplamts shad mtefwew

heart, vessells, cmculatlon short mterwew

resplrato~ short mterwaw

dlgeetwe short mterwew

gemtourinary shod mterwew

musculoskeletal shod mterwew

mfectlons parasites short mterwaw

blood disorders shori mterwew

skm complamts short frrterwew

other compalmts shod mferwew

mmplamt no longer present short Merwew

mental shod mtervmw

to prevent complamt short mtervww

msuffluentmfo short mterwew

non mental complamt short mterwew

cancerswhole samp/e

endocrine whole s.smpk

nervous system whole sample

eye complamts whole sampleear complamts whole semple

heart, vessels who/e sample

respiratory whole sample

dlgeetwe whole sem@e

gemto urinary Wrole sempfe

musculo skeletal Wrole sample

mfechons, paresltes whole samp/e

blood disorders whole sampfe

skm disorders whole samp#eother complaints who/e semp/ecomplamts no longer present whole sample

ment allorgamc whole sample

to prevent complamt whole sample

na, msufflclant mfo whole samplenon-mental complamt whole sample

hosptahsed for phys prob m past year?hosptiahsad for ment prob m past year?hospitalised for phys & mant prob m past yearoutpatient for phys prob m past year?outpatient for ment pmb m past year?outpatlant for phys & ment prob m past yeatidssatlsfadlon wkh phys cmwultatlon last 2 wks?dlssatlsfactlon with ment Ccmsultatlon last 2 wks?dlesatlsfactlon vdth dual Wnsultatlon?total number outpatient wstts past yrtotal Ios as Inpatlant m past yr

-) 322323324325326327328

HlloalchlloalcZhlloalc3hiloalc4hlloalc.5Alclalti

APPENDICESApWndlx AAppendix BAppendix CAppemdlx DAppmdix EAp~ndlx FAppendix GAp~ndlx HApWndlx I

hghf/heavy drinkerregular dnnketiAlc over sensible maxdrinks heavily/ very heavilyalc cansum@lon 4 bandsabetamerl occeaaional or notvery heavy drfnker or not

Socm-economic groupsFitters used m data analyslsMeasures of psychiatric morbidttycommon DVS used m Report 1 programmingLong atandmg physxal IllnessProgramming for medcetlon variablesCoding frame for long atandlng illnessDVS for stressful life events and ADLaDVa for drug and alcohol use 6 dependence

I 6

Variable name: SUBSEX

--) Variable label: ‘Sex of subjectp

Value labels (SUBSEX)

Derivation:

If PERSNO = 1 SUBSEX=SEX

ot

/

‘7

od.

-)

)

Variable name: AGE5YR

Varaiable label: ‘Age in 5 year age bands’

Value labels (AGE5YR)

1 ,16_1912 12~-241

3 ‘25-29’4 130_3415 /35_391

6 ‘40-44’7 ‘45-49’8 ‘50-54’9 ‘55-59’10 ‘60-64’

Derivation:

Select if PERSNO = 1

Recode AGE (15-19=1) (20-24=2)(40-44=6) (45-49=7)

8

25-29=3) (30-34=4) (35-39=5)50-54=8) (55-59=9) (60-64=10

-)

Variable name: AGE1OYR

Varaiable label: /Age in

Value labels (AGE1OYR)

1 ‘16-24’2 ‘25-34’3 835-44’4 #45_541

Derivation:

Recode AGE5YR

5 ,55_64,

(1-2=1) (3-4=2) (5-6=3) (7-8=4) (9-10=5)

o.3

10 year age bands’

.)

9

Variable name: SUBMARST

Variable label: ‘Marital status of subject’

Value labels (SUBMARST)

As MARSTAT

Derivation:

Select If Persno = 1 SUBMARST=MARSTAT

.)

o5

)

Variable name: SUBETHN

Variable label: ~Ethnicity of subject’

Value labels (SUBETHN)

As RACE

Derivation:

Select if Persno = 1 SUBETHN.RACE

J 11

o6Variable name: ETHNIC4

Variable label: ‘Fourfold ethnic classification

Value labels (ETHNIC4)

1 ‘White or Euro’2 ‘WI or African’3 ‘Asian or Orient’4 ‘Other’

Derivation:

Recode SUBETHN (1=1) (2-4=2) (5-8=3) (9=4)

)

-)

-)’ 12

Variable name: HHDSIZE

Variable label: ‘Number of people in household’

Value labels

Derivation:

Maximum value of PERSNO

-)

J

@

13

-1

,.

To: Mi2Pardoe

J,

From:

Date:

copy :

File:

Starting from scratch to create FAMTYPEC

Timetable

This work on the family type DV takes highest

o10

WGJBaljit Gill &v

7 September 1994 ~ tic~?/.-4 ‘~

Howard MeltzerGavin Cotgrove }% ML<

.SLTr’-xs1361/6 <u ,

priority. Ifwork on any other survey prevents you from producing this asquickly as possible, please let me know straight away.

The first run should be done and reports checked and dellveredto me by 1 pm. I will revise the specification if necessary,by 2 pm to allow you to re-run the DV overnight.

Final checks will be made on Friday so that a new save filecan be dellvered by Friday afternoon

Please give me a progress report by 12 am on Thursday.

The save file

The two variables I reaulre on the save file are CASENO andFAMTYPEC, the new DV. -

The DV

Variable name FAMTYPEC - ‘Family

Values and their meaning:

1 informant is in couple w~th

2 Informant IS in couple with

3 informant 1s a lone parent

4 one person only

unit type’

no children

1 or more children

5 informant 1s a child, parents are a couple

6 informant IS a child of a lone parent

Value labels:

Couple; no child; Couple; 1+ child3 Lone parent4 One person only5 Child of couple6 Child of lone-pa

14

)

.)

Derivation

Look at FAMUNIT = 1:

Is the person in a couple or not ?

If person 01 is

If person 01 isset INACOUPLE .

married or cohabiting, set INACOUPLE . 1

single, divorced, widowed or separated,2

Is the informant a parent ?

Check members of family unit 1, other than person 01:informant has at least one child if any RELTOINF = 2

If any RELTOINF = 02, set HASKIDS . 1

If no RELTOINF = 02, set HASKIDS = 2

Is the informant a child ?

* Check members of family unit 1 other than person 01:informant IS a child lf any RELTOINF = 04 (mother orfather including step-parents)

If any RELTOINF = 04, set ISACHILD = 1If no RELTOINF . 04, set ISACHILD . 2

* It is also Important to know If the child lives with acouple or is the child of a lone parent:

If ISACHILD = 1 create NUMPARENT:

NUMPARENT = number of members of family unit 1 who haveRELTOINF = 04

Create FAMTYPEC

INACOUPLE = 1 and HASKIDS . 2, FAMTYPEC . 1

INACOUPLE = 1 and HASKIDS = 1, FAMTYPEC . 2

INACOUPLE = 2 and HASKIDS = 1, FAMTYPEC . 3

INACOUPLE = 2 and HASKIDS . 2, FAMTYPEC . 4

ISACHILD = 1 AND NUMPARENT = 2, FAMTYPEC = 5

ISACHILD = 1 AND NUMPARENT . 1, FAMTYPEC = 6

No default values

Please follow the code and do not assign values on any ofINACOUPLE, HASKIDS, NUMPARENT, or FAMTYPEC by default. Wew1ll examine any cases that do not get assigned FAMTYPECbecause of this.

15

. .

Printing out odd cases

For any cases where FAMTYPEChousehold box details.

CASENO, PER REL SEX AGE MARS

I do not expect more than 20

has no value, print out

FAMU, INACOUPLE HASKIDS

cases of this. If there.

case and

NUMPARENT

are many. . .more, please CneCk these do not arlSe through programmingerror before sending up to me for checking.

Other checking

For cases where FAMTYPEC has been set, please print out asample of about 5 cases with household box details for eachvalue of FAkTrYPEC for checking by SB:

CASENO, PER REL SEX AGE MARS FAMU, FAMTYPEC, INACOUPLE HASKIDSNUMPARENT

)The process

Research will examine any cases where FAMTYPEC could not beassigned (eg because there IS a niece in the family unit) onceSB are satisfied they are not due to programming error

After any changes to the DV specification are made, there WI1lbe a second run of thisstage quickly, and thenfile.

ROTE :

INACOUPLE, ISACHILD andOnly the FAMTYPEC DV is

DV. We will then repeat the checkingbe ready to produce a new SPSS-X save

NUMPARENT are in-fllght DVS only.required on the save file.

J

i.-

i 9yGBh7 Ho-——rww,,4

-m.

GilLb ‘ , ,-

----”-----~

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Variable name: TENURE

-) Variable label: ‘TenureJ

Value labels (TENURE)

1 Iowned outriaht’23456

Derivat:

owned mortg~ge’rent: LAfrent; HA’rent; oth erg’rent; lndlvid’

on:

1 A5A=12 A5A=2 or NA3 A5B=14 A5B=25 A5B=3,4 or 56 A5B=6,7 or 8

Variable name: CARORVAN

Variable label: ‘No of cars or vans’

Value labels (CARORVAN)

1 ‘No car or van’2 ‘1 car or van’3 ‘2 cars or vans’4 ‘3+ cars or vans’

Derivation:-\

!1 A8=22 A8A=13 A8A=24 A8A=3

O/3

19

-)o14

Variable name: INDGRINC

Varaiable label: ‘Subjects grouped weekly greased income~

Value labels (INDGRINC)

)

1 ‘Nil#2 ‘0.01 - 100’3 ‘1OO.O1 - 200’4 ‘200.01 - 300’5 ‘300.01 - 400’6 ‘400.01 - 500’7 ‘500.01 or more’8 ‘NA Or DK’

Derivation:

Recode BG4 (0=1) (l-5=2) (6-10=3) (11-15=4) (16-17=5)(18=6) (19-20=7) (98-99=8)

20

-)o15.

Variable name: HHDGRINC

Varaiable label: ‘Hseholds grouped weekly grossed incomet

Value labels (HHDGRINC)

1 ‘Nil’2 ,0.01 _ 100,3 ,lOO.O1 _ 20014 ‘200.01 - 300’5 ‘300.01 - 400’6 ‘400.01 - 500’7 ‘500.01 or more’8 ‘NA Or DK)

Derivation:

Recode BG4A (0=1) (’(18=6)

-5=2) (6–19-20=7)

0=3) (11-15=4) (16-17=5)98-99=8)

-)

21

‘-? oi6

-)

7.3.95 This spec replaces the earlier spec for the socio-‘<) economic group dv.

Variable name: SEG (~ SEGHHHOLD as on original spec)

Variable label: Socio-economic group collapsed

Value labels: 12345678910

ProfessionalEmps & managersInt non-manJunior non-manSkilled manSemi-skilled manUnskilled manArmed forcesNever workedNA insufficient information

Derivation:

1. Run the SEG matrix (GHS version)

If subject IS male (SUBSEX=l) and has worked or is workingtake his information from BF8SOC to BF1O

If subject is male and has never worked and has aspouselpartner who IS working or has worked take theinformation from BF27SOC to BF27B.

If subject IS female (SUBSEX=2) and has a spouse/partner whois working or has worked take the information from BF27SOC toBF27B .

If subject is female and has a spouselpartner who IS notworking or has never worked take the information from BF8SOC

) to BF16.

If subject 1s female and does not have akhe information from BF8SOC to BFIO.

spousefpartner

2. The matrix produces 19 values Recode these into SEG --follows: ‘t%Q AQ(?wKLAx ~ tit Wd d tt.t> hk fc?fL&v C6L sti~

ck.~%4-I(..h

take

as

SEG VALUE MATRIX VALUES1 5,62 1,2,3,4,163 7,84 95 11,12,15,176 10,13,187. 148 19

) Or, If you prefer to work from the matrix value. see llstlngwerpage

# 22

-) ‘,

-)

MATRIX VALUE\,

234

:

:910111213141516171819

DV SEG VALUE222211

3346556752568

0ILfJnv

3. Some cases will be missing. Divide these between #neverworked’ and ‘lnsufflclent information (codes 9 and 10) asfollows:

If a case has ~ been assigned to any of 1-8 above, AND BF7.2then the DV SEG should be given the value 9.

All remaining values should be coded 10.

-)

. 23

--).

Variable name: WORKSTAT

Varaiable label: ‘Summary of working status~

Value labels (WORKSTAT)

1 ‘Working FT’2 ‘Working PT’3 ‘unemployed’4 ‘econ lnactlve’

Derivation:

-)1 BF5.1 and BF8A=12 BF5=1 and BF8A.2

(

3 BF5=2 or 34 BF5=4

)

)

1 24

-) o18.

Variable name: SICKDAYS

Varaiable label: ‘Grouped

-)

Value labels (SICKDAYS)

1 ’0’

2 ‘l-9’3 ‘1O-19’4 ‘20-29’5 ‘30-39’6 ‘40-49’7 ‘50-99’8 ‘100-149’9 ‘150-200’10 ‘200-365’

days off sick last year’

Derivation:

SELECT If BF1l ge5

RECODE BF13A (0=0) (l-9=2) (10-19=3) (20-29=4) (30-39=5)(40-49=6) (50-99=7) (100-149=8) (150-199=9)(200-365+10)

? 25

‘1 Variable name: TIMEUNEM

Varaiable label: /Years since last worked ~

Value labels (TIMEUNEM)

1 ‘Less than 1 yr)2 ‘1 yr’3 ‘2yrs’4 ‘3yrs’5 ‘4yrs’6 ‘5-9yrs87 ‘10-14yrs#8 ‘15-19yrs#9 ’20+ yrs’

)Derivation:

Subtract value of AGE for PERSNO = 1 fromvalue at BF8

NAs and DNAs at any part should be made DNAs at TIMEUNEM

Recode answer from subtraction

(0=1) (1=2) (2=3) (3=4) (4=5) (5-9=6) (10-14=7)(15-19=8) (20 thru hl=9)

)

, 26

Variable name: ALCLOC

Variable label: ‘Alcohol Dependence: Loss of Control~

Value labels (ALCLOC)

1 ‘Moderate’2 ‘Minimal’3 ‘No problem’

Derivation:

7Count number of Code Ones at DA8, DA19, DA20, DA21 ‘

.. ..—~1 2 or more code Ones2 1 Code one3 All Code 2s or NAs

* 27

o41Variable name: ALCSYUPT

Variable label: ‘Alcohol Dependence: Symptomatic Behavior’

Value labele (ALCSYMPT)

1 ‘Moderate’2 IMininalf

3 ‘No problem’

Derivation:

Count number of Code Ones at DA1, DA2, DA3, DA4, DA5, DA6 and DA9

1 3 or more code Ones2 1 or 2 Code Ones3 All Code 2s or NAs

Variable name: ALCBINGE

Variable label: ‘Alcohol Dependence: Binge Drinking’

Value labels (ALCBINGE)

1 lModeratet3 ‘No problem’

Derivation:

Recode DA18 (1=1) (2 or NA=3)

. 29

o673) Variable name: ALCBELL

Variable label: ‘Alcohol Consequences: Belllgerence~

Value labels (ALCBELL)


Derivation:

Priority code

If DA1l = 1 or DA12 = 1 ALCBELL=lIf DA1O = 1 AICBELL = 2IF DA1O and DA1l and DA12 are code 2s or NAs, ALCBELL=3

,)

)

)

, 30

-)- Variable name: ALCSPOUS

Variable label: ‘Alcohol Consequences: Spouse Problems’

Value labels (ALCSPOUS)


Derivation:

Priority code

If DA26CM1 = 1 ALCSPOUS = 1If DA26AM1 = 1 ALCSPOUS = 2OTHERS = 3

* 31

oa5-) Variable name: ALCRELS

Variable label: ‘Alcohol Consequences: Reltve Problems’

Value labels (ALCRELS)


Derivation:

Priority code

If any DA26CM1-M5 = 2 or 3 or 5, ALCRELS = 1If any DA26AM1-M5 = 2 or 3 or 5, ALCRELS = 2OTHERS = 3

)

t 32

-) Variable name: ALCFRNDS

Variable label: ‘Alcohol Consequences: Friend Problems~

Value labels (ALCFRNDS)


Derivation:

Priority code

If any(DA26CM1-M8 = 4, 6, 7 or 8) or DA7 = 1, ALCFRNDS - 1If any DA26AM1–M8 = 4, 6, 7 or 8, ALCFRNDS . 2OTHERS = 3

-1

)

Variable name: ALCJOBPR

Variable label: ‘Alcohol Consequences: Job Problemst

Value labels (ALCJOBPR)


Derivation:

If DA25 = 1, ALCJOBPR=lIF DA25 = 2 or NA, ALCJOBPR=3

,)

)

1I 34

oaz?

2 Variable name: ALCPOLPR

Variable label: ‘Alcohol

Value labels (ALCPOLPR)


Derivation:

PRIOROTY CODE

If DA16 = 1 or DA17 = 1,IF DA13 = 1, ALCPOLPR =“20thers=3

Consequences:

ALCPOLPR=l

Police Problems’

)

.)

. 35

omVariable name: ALCPHTHPR

Variable label: ~Alcohol Consequences: Health Problems~

Value labels (ALCHTHPR)

1 ‘Moderate’2 ,Minimall3 ‘No problem’

Derivation:

PRIOROTY CODE

If DA22 = 1 0IF DA23 = 1, ~Lc#THPR =20thers=3

*<’

.)

o30

Variable name: ALCACCS

Variable label: ‘Alcohol Consequences: Accidents~

Value labels (ALCACCS)


Derivation:

If DA14 = 1 or DA15 = 1, ALCACCS=lOthers.3

. 37

o31‘) Variable name: ALCDEP

Variable label: ‘Alcohol Dependence Index~

Value labels (ALCDEP)

Derivation:

Compute the number of Code Ones atDA1 , DA2, DA3, DA4, DA5, DA6, DA8, DA9, DA18, DA19, DA20, DA21

/)

.)

o3a-) Variable name: ALCDEPGR

Variable label: ‘Alcohol Dependence Grouped Index’

Value labels (ALCDEPGR)

Derivation:

Compute the n~ber ofDAl,/DA2>3A3, D?A# DA- DA21

Reds QWw

‘J_ ( kgh’

2- ‘Wkl#de’3 (rnmm#.J\4- ‘WJpkifw

)

)39

.

0u LA

o34-Variable name: CIGGIES

Variable label: ‘Cigarette smoking: number per day,

Value labels (CIGGIES) .

1 ~HeavyJ2 ‘Moderate’3 ‘Light’4 ‘Ex regular)5 ‘Never regularly~

Derivation:

Compute NOCIGSWK =Compute NOCIGSDY =

-.\/

If NOCIGSDY GE 20,

(2(BH3) + 5(BH4))(2(BH3) + 5(BH4))/7

CIGGIES = 1If NOCIGSDY GE 10”OR LE 19, CIGGIES = 2If NOCIGSDY GE O OR LE 9, Clggies = 3If BH1O = 1, CIGGIES = 4If BH1O = 2, CIGGIES = 5

.)

9 41

o35..

) Variable name: CIGARS

Variable label: ‘Cigar Smoking~

value labels: (CIGARS) \,Lqw\4

1 ’15+ CIGARSfWK12 ‘1-14 CIGARS/WKt

.W@” .0

&#Ex-cIGAR’ ‘3 >%\’@

&j ‘NEVER

Derivat on:%’

<1 If BH12A GE 15 CIGARS -1I 2 If BH12A GE 1 OR LE 14 CIGARS = 2

3

CODE 1 at BH12B

b

~ 6L56

---

~mi,es = “f

.,

*

o36

,)

Variable name: TARCIGS

Variable label: ‘Tar Level of Cigs’

Value labels TARCIGS

1 ‘Low’2 ‘Low to Middle’3 ‘Middle’4 ‘High’5 ‘No Reg Brand’

Derivation:

1 CODE 1 = Any of the following at BH6 ;685, 532, 597, 599, 103, 600,569, 535, 536, 133, 106, 504,539, 577, 540, 690, 108, 109,542, 111, 113, 676, 613, 563,134, 584, 585, 233, 618, 619,135, 140, 120, 631, 141, 122,638, 587, 679, 283, 680, 146,662, 127, 514, 588, 128, 129,552, 519, 647, 277, 555, 652,574, 654, 656, 138

2 CODE 2 = Any of the fOllOWing at BH6 ;689, 303, 285, 202, 203, 204,293, 526, 673, 272, 576, 524,595, 596, 598, 209, 602, 503,341, 692, 604, 605, 606, 538,216, 674, 541, 217, 218, 219,609, 675, 676, 677, 311, 610,226, 614, 543, 313, 286, 506,287, 617, 231, 315, 314, 352,318, 320, 235, 620, 291, 571,545, 344, 622, 660, 351, 668,586, 623. 321, 239, 288, 548,

575, 682, 148, 502,657, 104, 105, 515,147, 138, 537, 139,658, 568, 583, 110,659, 616, 115, 578,621, 509, 549, 119,123, 124, 670, 136,143, 275, 137, 661,663; 580; 130; 664;589, 688, 665, 523,

348, 561, 531, 590,306, 205, 683, 591,684, 592, 208, 594,603, 582, 570, 534,516, 213, 214, 215,221; 607; 608; 505;225. 224. 145, 612,228; 678; 667; 281;232, 544, 316, 234,238, 508, 349, 693,510, 518, 547, 572,624, 565, 626, 627,

669; 628; 511; 629; 528; 242, 243, 630, 632, 633,244, 245, 142, 566, 634, 635, 325, 247, 249, 250,251, 252, 253, 255, 256, 328, 550, 637, 274, 283,259, 330, 260, 641, 513, 261, 642, 643, 262, 332,263, 567, 644, 645, 646, 292, 520, 650, 564, 284,651, 556, 554, 653, 573, 581, 557, 558, 559, 672,269, 337, 560, 655, 666, 347.

3.CODE 3 = Any of the followlng at BH6 ; 201, 593, 686, 601,527, 533, 402, 611, 615, 319, 549, 576, 322, 295,326, 636, 640, 694, 648, 522, 562, 501.

4.CODE 4 = Any of the followlng at BH6 ; 401

5.CODE 1 or NjA at BH6

43

-) Variable name: INJECT

Variable label: ‘Injecting Drugs~

Value labels (INJECT)

‘In Mnth, share’‘Everlshare ’‘In mnth, no share’‘Ever,‘Never

no share’Inject’

Derivation:

PRIORITY CODE

If DD16A = 1. INJECT = 1If DD15A = 1; INJECT = 2

) If DD16 = 1, INJECT = 3 -If DD15 = 1,/INJECT = 4If DD15 = 1; INJECT = 5

P.“’-

)#

o32?1

Variable name: YSTOPDRK

Variable label: ‘Drinking:

Value labels (YSTOPDRK)

1 ‘Never’2 ‘Health’3 ‘Other’

Derivation:

Priority Code

CODE 1 at B13.;: CODE 4 at ?314BMI-M53. B13 = 2

Reasons for Stoppingt

, 45

o37)

Variable name: FRBINGDR

Variable label: ‘Frequency

Value labels (FRBINGDR)

1 ’12+ UNITS/DAY’2 ’12+ UNITS/5-6DYS’3 ’12+ UNITS13-4DYS’4 ’12+ uNITs/1-2DYs’5 ,B-llUNITS/DAy,6 ,8_lluN1Ts/5_6Dysl7 ‘8-llUNITS/3-4DYS’8 ,B_lluNITs/l_2Dy.319 ,5_7 UNITS/DAy#10 15-7 UNITS/5-6DYS’11 15-7 UNITS13-4DYS’12 15-7 uNITs/1-2DYs’13 ‘less often’14 ‘non-drinker’

of Binge Drinking’

Derivation:

If B18=l, FRBINGDR = 1If B18 = 2, FRBINGDR = 2If B18 = 3, FRBINGDR = 3If B18 = 4, FRBINGDR = 4If B19=l, FRBINGDR = 5If B19 = 2, FRBINGDR = 6If B19 = 3, FRBINGDR = 7If B19 = 4, FRBINGDR = 8If BI1O = 1. FRBINGDR = 9If BI1O = 2, FRBINGDR = 10If BI1O = 3, FRBINGDR = 11If BI1O = 4, FRBINGDR = 12If>IIO = 5-8, FRBINGDR = 13If B12 = 2, FRBINGDR =14

‘---r

Y’

46

o40

Variable Name: DISUMMA

Variable Label: ‘Difficulties with Personal Care’

Value Labels: (DISUMMA)

‘Dif+Need+Help+ r;: ‘Dif+need+Help-#3. ‘Dif+need-*4. ‘Dif-’5. ‘DNA ‘

Derivation:

‘) IF BDIBM1 ge 1, DISIJMMA = 1IF BDIBM1 = O, DISUMMA = 2IF BDIA = 2, DISUMMA = 3IF BD1 = 2, DISUMMA = 4IF BD1 = 3, DISUMMA = 5

, 47

o41--)

Variable

Variable

Name: D2SUMMA

Label: ‘Difficulties with Using transport’

Value Labels: (D2SUMMA )

1. ‘Dlf+Need+Help+ ##Dif+need+Help-’

:: ‘Dif+need-’‘Dif-’

:: ‘DNA ‘

Derivation:

)

)

IFIFIFIFIF

BD2BM1 ge 1, D2SUMMA = 1BD2BM1 = o, D2SUMMA = 2BD2A = 2, D2SUMMA = 3BD2 = 2, D2SUMMA = 4BD2 = 3, D2SUMMA = 5

)

, 48

o4a

Variable Name: D3SUMMA

Variable Label: ‘Difficulties with medical Care’

Value Labels: (D3SUMMA)

‘Dlf+Need+Help+’:: ‘Dif+need+Help-’3. ‘Dif+need-’4. ‘Dif-l5. ‘DNA’

Derivation:

IFIFIFIFIF

BD3BM1 ge 1, D3SUMMA = 1BD3BM1 = o, D3SUMMA = 2BD3A = 2, D3SUMMA = 3BD3 = 2, D3SUMMA = 4BD3 = 3, D3SUMMA = 5

. 49

o43

--)


Variable Label: ‘Difficulties with Household Activities~

Value Labels: (D4SUMMA )

1Dif+Need+Help+ t:: ‘Dif+need+Help-’3. #Dif+need-’4. ~Dif-’5. ‘DNA ‘

Derivation:

IF BD4BM1 ge 1, D4SUMMA = 1IF BD4BMI = O, D4SUMMA = 2IF BD4A = 2, D4SUMMA = 3IF BD4 = 2, D4SUMMA = 4IF BD4 =.3, D4SUMMA = 5

)

50

-) Variable Name: D5SUMMA

Variable Label: ‘Difficulties with Practical DifflcultlesJ


‘Dif+Need+Help+ #;: ‘Dif+need+Help-~3. lDif+need-~4. ‘Dif-P5. ‘DNA ‘

Derivation:

IFIFIFIFIF

BD5BMI ge 1, D5SUMMA = 1BD5BM1 = o, D5SUMMA = 2BD5A = 2, D5SUMMA = 3BD5 = 2, D5SUMMA = 4BD5 = 3, D5suMhlA = 5

044

. 51

u45

--)Variable Name: D6SUMMA

Variable Label: ‘Difficulties with Paper Work)


1. 1Dif+Need+Help+ t2. ‘Dif+need+Help-#3. ‘Dif+need-~4. #Dif-’5. #DNA ‘

Derivation:

IF BD6BM1 ge 1, D6SUMMA = 1IF BD6BM1 = O, D6SUMMA = 2IF BD6A = 2, D6SUMMA = 3IF BD6 = 2, D6SUMMA = 4IF BD6 = 3, D6SUMMA = 5

)

52

-),

w4


Variable Label: ‘Difficulties with Paper Work?


1. ‘Dif+Need+Help+ t2. ‘Dif+need+Help-r3. ‘Dif+need-~4. ‘Dif-’5. ~DNA ‘

Derivation:

IF BD7BM1 ge 1, D7SUMMA . 1IF BD6BM1 = O, D7SUMMA = 2IF BD7A = 2, D7SUMMA = 3IF BD7 = 2, D7SUMMA = 4IF BD7 = 3, D7SUMMA = 5

53

o4?

“-) Variable Name: NOADLDIF

Variable Label: ‘No of ADL Difficulties’

Value Labels: (NOADLDIF )

Codes = value labels

Derivation:

Count number of Code ones at BD1 to BD7 inclusive.

Therefore, range is from O to 7

o57

Variable name: NOSLE

Variable label: ‘No of stressful life events’

Variable labels: (NOSLE)

Codes = value labels

Derivation:

Count number of Code ones at BD8 to BD18 inclusive.

Therefore, range is from O to 11

\—,,

. 55

Variable name: PSSS

Variable label: ‘Perceived Social Support Scoret

Value labels

Value labels

Derivation:

(Psss)

= the codes

All the variables from BE1OA to BElOG must be coded 1, 2 or 3if not make PSSS = -8

Sum the codes from BE1OA to BElOG(Range should be from 7 to 21)

-J

o60

o61

Variable name: PSSSGR

Variable label: ‘Perceived Social Support Score Groupedt

Value labels (PSSSGR)

1 ‘Severe lack’2 ‘Moderate lack’3 ,No lack,

Derivation:

Recode PSSS (-8 = -8) (7 thru 17=1) (18 thru 20=2) (21=3)

I>)

(

-WXTSDUA3:[xx0511.sDRVEY]DVSPECS2.LIS/1

Summy Ymsr : 1990f91Vs.risbleNsnm : QSEANDYvsrisblmLskd : EST NEEKLY ONITS-SHANDY

w DBDVRsnge o to 999ml:-9m2:-Sm2 :-6

status : C. Accmptadan MAINToPic : DrinkingFirst used on : Haalth

on Record :2storaga type : rml

●tsndard :Npriority cod-d : N

owur : M Sqthdata writtm : 30/4/90datm swndad : 31/10/90

Vallm 1**11 : nsx 16 chsrsVALUE LAsm.s (QSEANDY)( -9 ) DNA(-8)NA( -6 ) SCOTTISH SOPP

derivation :SCOTTISH SOPP (GB EQ 2) = -6PROXY OR HISSING SCESDULE (SCSEDTYP EQ 2 OR 3) = -9CHILD (AGE LT 16) - -9

SET INITIALLY TO OIF SEANDYEQ 1, QSEANDY=SEANDYAN*7IF SEANDYEQ 2, QSHANDY= SHANDYAN* 5.51? SEANDY EQ 3, QSRW?’DY- SRANDYAN*3 .51? SEANDY .SQ4, QSHANDY- SMANDYAN* 1.5IF SRANDY EQ 5, QSHANDY- SNA.NDYAWO. 37SIF SRANDY EQ 6, QSEANDY- SHANDYAWO .115IF SNANDY EQ 7, QSNANDY= SEANDYAN*O .029IF SSANDY EQ 8, QS51ANDY=01? SSANDY EQ -8 OR SNANDYAN EQ 99, QSSMOJY--8 (NA)IF SNANDY EQ -9 OR NO RECOSD 37, QSSMDY EQ -9 (DNA)

8-JAN-199210

K)a

58

[’

SQOTSDUA1: [SX0511.SURVEY ]DVSPJKS2 .LIS)1r

Sun.ay Ymu 8 1990/91VariablaNama % QSEERVariableLahl ! EST WEXSX.YUNITS-SEERm DBDVRang* x o to 999M2:-9M2:-8M 3:-6

status : G. Acceptedon NAINToPic : DrinkingFirst used on : Health

on -cord :2storage typa : rml

●tsndud :Npriority coded ! N

rumr : u Smythdata written : 3of4/90datm amnded 8 31/10/90

Valua l.abals : mar 16 charsVALUE LABELS (QEEER)( -9 ) DNA(-8)NA( -6 ) SCOTTISH SUPP

.duivation :SCOTTISH SUPP (GS EQ 2) -“-6PROSY OR NISSING SCHSDOLE (SCBEDTYP EQ 2 OR 3) - -9CHILD (AGS LT 16) - -9

SET INITIALLYIF SESR .ZQ 1,1? BEER ZQ 2,1? BEER EQ 3,IF BEXR EQ 4,1? BBSR EQ 5,1? BEER EQ 6,1P SEER EQ 7,1? SEER .ZQ8,

(.IF SEER EQ -8IF BEER EQ -9

TO OQBEER- SEERAN*7QBEER- BEERAN* 5.5QBEER= BEERAW 3.5QBEER= BEEW*l .5QBEl!!R=BEEM*O .375QBEER- BEERAN*O .115QBEER- BEERAN*O .029QBESR-OOR BEERAN EQ 99, QBEER--8 (NA)OR NO RXCORD 37, QBEER EQ -9 (DNA)

8-JAN-1992 10

0

63

. 59

_SOOT$DUAl: [SXOS1l.SURVSY]DVSPECS2 .LIs;1

Surwy r-u 1 1990/91VsrisbleName : QSPIRITVuiabla Lab-l : EST NEEsz,YUNITS-SPIRITw DSDVRanga o to 999ml:-9m2:-8m3: -6

status : G. Accaptadon MAINToPic : DrinkingPirst USA on : Eaalth

on Racord :2●toraga typ : rmal

atandud :Npriority coded : N

curmr : M Smythdatm writtan : 30/4190date smended z 31/10/90

( Vdus labds : MAX 16 charsVALUE LASELS (QSPIP.IT)( -9 ) DNA(-8)NA( -6 ) SCOTTISH SUPP

derivation :SCOTTISH SUPP (GB EQ 2) - -6PROXY OR NISSING SCIEZDULE (SCRCDTYP EQ 2 OR 3) - -9CNILD (AGE LT 16) - -9

SET INITIALLY TO OIF SPIRIT EQ 1, QSPIRIT= SPIRITAM* 7IF SPIRIT EQ 2, QSPIRIT= SPIRITAN*S .51? SPIRIT EQ 3, QSPIRIT= SPIRXTAW3. 5IF SPIRIT EQ 4, QSPIRIT= SPIRITAW1 .5IF SPIRIT EQ 5, QSPIR3T- SPIRITAM*O .37S1? SPIRIT EQ 6, QSPIR2T- SPIRITAM*O .115IF SPIRIT EQ 7, QSPIRIT= SPIRITAN*O. 029

(Ir SPIRIT EQ 8, QSPIRIT-OIF SPIRIT EQ -8 OR SPIRITAN EQ 99, QSPIRIT--6 (NA)IF SPIRIT EQ -9 OR NO RECORD 37, QSPIRIT XQ -9 (DNA)

8-JAN-1992 10

064

v 60

(

~BCtX$DUAl: [sx0511.sORVEY]DVSFECS2 .LIS;i

sun-y Yaar t 1990/91variable nama z QSHERRYVs.riab19Lahsl : EST WEESI.Y UNITS-SICZRRY

m z DSDVRsng* : 0 to 999ml: -9m2:-8m2 :-6

Stature : G. Accmptad on KAIN‘rapk z DrbkingFLrst us-d on : Emalth

on Rmcord :2mtoraga ty’pa : rsal

standard !Npriority coded : N

Ounmr : M Smythdsta written : 30/4/90datm swndad ! 31/10/90

value lahh : mu 16 ch&rsVALUE LASELS (QSSERRY )( -9 ) DNA(-8)NA( -6 ) SCOTTISH SUPP

darivation :SCOTTISElSOPP (GB EQ 2) - -6PRoxY OR HISSING SCHEDULS (SCHEDTYP EQ 2 OR 3) - -9CSILD (AGE LT 16) - -9

SET INITIALLY TO OIF SESRRY EQ 1, QSESRRY- SKERRYAW7IF SESSRY EQ 2, QSkDIPRY- SHSRRYAX*5 .5IF SSESRY EQ 3, QSE?,SRY= SE?XRYAN* 3.51? SNESRY EQ 4, Q.SKSPAY- SSE~YAK* 1.5IF SIOiZRYEQ 5, QSKSRRY= SEERRYMi*O.375IF SSERRY EQ 6, QSSSRRY= SNERRYAM*O .115IF SKERRY EQ 7, QSBSRRY- SKESRYAX*O .029IF SHERRY EQ 8, QSNSSRY-OIF SNSRRY EQ -8 OR SSERRYAM EQ 99, !2SNERRY=-8 (NA)IF SNERRY EQ ‘9 OR NO SXWRO 37, QSNESRY EQ -9 (DNA)

8-JAN-1992 10

065

61

-BOOT$DUA1 :[XX0511 .SORVEY ]DVSPIZS2 .LIS /1

Surwy Year 8 1990/91Vuiabla Ifamm : m=Vsriabla Labal : EST NEE~Y OWITS-WINE

* DSDVRsnga o to 999ml:-9mZ:-8m3: -6

status : G. Accapted on NMNTopic : DrinkingPixmt us-d on : Hmalth

on Fwcord :2storags type : rml

Wauvkrd :Npriority coded : N

otnmr : M smythdata wrlttan ; 30~4/90data aumndsd a 31/10/90

(Valua ltials : msx 16 chsrmVALUE LABELS (QWINE)[-9) DNA(-8)NA( -6 ) SCOTTISH SUPP

(

dmrivat ion %SCOTTISH SUFP (GB EQ 2) - -6PROSY OR HISSING SCNEDOLE (SCIZ?,DTYPEL)2 OR 3) - ‘9CEILD (AGE LT 16) = -9

SET INITIALLY TO O1? WINE EQ 1, QWINE- wZNEAN*71? WINE EQ 2, QWINE- WINEAN*5 .5IF WINS EQ 3, QWINE= wINEAN*3 .5IF WINE EQ 4, QWINE= WINEAM* 1.5IF WINE EQ 5, QWIN& WINEAM*O .375IF WINE EQ 6, QWI~= WINEAN*O .115IF WINE EQ 7, QWINS- WINEAN*O .029IF WINE EQ 8, QWINS=OIF WINE EQ -8 OR WINEAM EQ 99, QWINs--8 (NA)IF WINS EQ -9 OR NO ~CONO 37, QWINE EQ -9 (DNA)

S-JM4-1992 10

066

1 62

-BOOT$DUA1 :[XI0511 .SORVSY ]DVSPSCS . LIS ;2

sum9y Y*U : 1990/91VarisblmNams : DRATINGVsriableLabel x ESTIMATSDWSEXLYDNITSm DBDVRMg9 o to 999mlz-9m2:-S:m3 :-6

status : G. Accepted on NAINTopic s DrirkingFirst used on : Eaalth

on Wcord :2●torage typa : raal

●tsmdsrd :Npriority coded : Y

Owmmr : x Smythdats writtan : 27/4/90data amendad : 11/6/90

Valum Iabals : max 16 charsVALD13 LABELS ( DRATING )(-S)NA( -6 ) SCOT SUPP( O ] REST, NON LAST YR(-9)DWA

derivationSET INITIALLY T; OIFSCOTTISH SUPP (GB EQ 2) DRATING--6PROXY OR NISSING SC3EDULS (SCIE3DTYP EQ 2 OR 3) DSATING=-9CSILO (AGE LT 16) DRATING=-9(DRIwKWOW-9 ) DRATING=-8

ELSE IF ALL OF (QSNANOY TO QWINE ) EQ -9, DRATING-OELSE IF ALL OF ( QSEAWOY TO QWINS ) EQ -S, DRATING--SELSE IF ALL OF (SHANDY TO WIWS) EQ S OR -8, DSATING-O

ELSE DRATING- (QSHANDY+QBEER+QSPIRIT+QSHESRY+QWINE )

S_JAW-1992 D

o67

63

_SCOTSDUAl :[XX0511 .SORVXY ]DVSPEC6 .LIs ;2 ~~v: ,r.+-~f’-

surveyYear : 1990/91 ~~7c GeVuisble Nsme : Ac1Vsrisbh Label : SEX AND ALCOEOL CONS~TION RATING GROUPED

w DSDVNAnge 1 to 14ml:-9m2:-Em3: -6

Stature : G. Accqtmd on MAINTOPiC ‘ : DrinkingFirst umd on :

on Racord :2stora.qot~ : integar

■tandard ZNpriority codad : Y

nlmu : M Smythdat● vrltten : 2/5/90data amandad : 13.2.91

-. Valua 1*-18 ! mm 16 charsVALUE LAssL.s (Acl )

(-9) DNA(-8)NA(-6)(1)(2)(3)(4)(5)(6)(7)(8)(9)(lo)(11)[12)

[(13)[14)

sCOTTISH SUPPmzN Ass /NONLsTYRlD3N<l OCCASIONALNEN 1-10N33N 11-21KSN 22-35M!N 36-50kD2N 51 OR MOREWO14AES/NONLSTYRWOM< 1 OCCASIONALWOM 1-7won 8-14WOM 15-25WOM 26-35WOM 36 OR HORS

derivation :SCOTTISH SUPP (GB EQ 2) = -6PROXY OR klISSING SCHEOULE (SCNEDTYP EQ 2 OR 3) . -9CHILD (AGELT 16) = -9

SET AC1--800 IF SEX EQ 1 (MALE)IF ORATING EQ 0, AC1-1IF DNATING IN RANGE 0.1 THRU 0.504, AC1-2

. 0.505 THRU 10.004, AC1=3

. 10.00S THRU 21.004, AC1-4

. 21.005 THRU 35.004, AC1-5“ 35.005 THRu SO.004, AC1-6. 50.00S THRU 9999, Ac1-7

ENO IFDO IF SEX EQ 2 (FENAu)IF D~TING EQ 0, AC1-8:F DRATING IN RANGE O.1 THRU O 504, AC1-9

(,, 0.505 THRU 7.004, AC1-10. 7 005 THRU 14.004=11

64 :14 005 THRU 25.004-1225 005 THRU 35.004=1335 005 THRU 9999-14

_BOOTSDUAl [,cx0511SURVEY )O’JSPECSLIS ;2

8-JAN-1992 09

2-JAN-1992 09

@

‘,,

7.3.95 This sDeck class dv.

Variable name: SC

replaces the earlier spec for the

(I@ SCINF as on file at present)

social

Variable label: Social class

Value labels: 1 I2 II3 IIINM4 IIIM56?7 Armed forces8 Never worked9 NA insufficient info

Derivation:

1. Run the Social class matrix

If sub]ect is male (SUBSEX=l) and has worked or is workingtake his information from BF8SOC to BF1O

If subject is male and has never worked and has aspousefpartner who is working or has worked take theinformation from BF27SOC to BF27B.

If subject is female (SUBSEX=2) and has a spouse/partner whois working or has worked take the information from BF27SOC toBF27B.

If subject is female and has a spouselpartner who is notworking or has never worked take the information from BF8SOCto BF1O.

If subject 1s female and does not have a spouse/partner takethe i.nformatlon from BF8SOC to BF1O.

2. The matrix produces 7 values which correspond to SC values1-7 above.

Assign the missing cases to code 8 or 9 as follows:

If a case has ~ been assigned to any of 1-7 above, AND BF7=2then the SC should be given the value 8.

All remalnlng values should be coded 9.

65

If (~=lorwd.M*

Compute SERVPROF =

(

Variable name: SERVPROF

Variable label: ‘Service Use Profile’

Value labels (SERVPROF)

1000 ‘GP’100 ‘In-patlentt10 ~Out-patlentl1 ‘Home visit’

Derivation:

If A17=l, commte GP = 1. ELSE = OIf BC4B = 2 or i. comuute lNPAT = 1, ELSE = OIf BC6A = 2 or 3; com~ute OUTPAT = i, ELSE = O

4) or (BC7C = 2 thru 5),compute DOM = 1, ELSE = O

$;y;ooo) + (INpAT*100) + (OUTPAT*.0) +

(

1 66

oQ3

(-

VARIABU NAME HHSIZEWT

VARIABLE LABEL None “ @Q” ghv

VALUE IABELS None

CREATED BY MP

CHAPTER Welghtlng appendix, p97 main report

DERIVATION This variable is not derivedfrom existing variables - it isthe result of the overallresponse rate divided by theresponse rate for a particularcategory of household size.This gives a value of HHSIZEWTfor each of the 4 categories ofhousehold size. See Table A3.2Report 1.

MISSING VALUES No mlsslng values – every casehas to have a HHSIZEWT

(FILTERS) None

67

(741

VARIABLE NAME AGESEXWT

VARIABLE LABEL None “(.&&&“

VALUE LABELS None %‘tz+~ -%”

CREATED BY HP

CNAPTER Welght~ng appendix, p98 Report 1: alsotable A3.4, Report 1

DERIVATION This variable has a value for

com

lflflflflflflflflflf

lflfiflflfififlfiflf

each combined category of ageand sex: e.g. male aged 16-19.These values are weights basedon the ratio of the the sampleage sex distribution to thepopulation age-sex distribution.See below:

ute agesexwt=lsubsex=l and age5yr=l) agesexwt=l .12subsex=l and age5yr=2) agesexwt=l .18subsex=l and age5yr=3) agesexwt=l .18subsex=l and age5yr=4) agesexwt=l.Osubsex=l and age5yr=5) agesexwt=l.Osubsex=l and age5yr=6) agesexwt=l .08subsex=l and age5yr=7) agesexwt=lsubsex=l and age5yr=8) agesexwt.0.96subsex=l and age5yr=9) agesexwt.0.93subsex=l and age5yr=10) agesexwt=0.95

(subsex=2 and age5yr=l) agesexwt=l .16(subsex=2 and age5yr=2) agesexwt=l .14(subsex=2 and age5yr=3) agesexwt=l .02(subsex=2 and age5yr=4) agesexwt=0.97(subsex=2 and age5yr=5) agesexwt=0.91(subsex=2 and age5yr=6) agesexwt=0.93(subsex=2 and age5yr=7) agesexwt=0.83(subsex=2 and age5yr=8) agesexwt=O.88(subsex=2 and age5yr=9) agesexwt=l .00(subsex=2 and age5yr=10) agesexwt=0.89

MISSING VALUES No mlsslng values

1

(FILTERs) None

68

VARIABLE NAME FINALWT

VALUE LABELS None

CREATED BY MP

CHAPTER Welghtlng appendix, p98 Report 1

DERIVATION This weight is product of hholdsize (i.e. sample weight), hholdsize weight, age-sex we~ght anda final weight to correct thechange In the base caused by theother weights

compute flnalwt=hhsize*hhs~zewt*agesexwt*( 10108/19585)

MISSING VALUES No mlsslng values

(FILTERS) None

oIm

. 69

0101VARIABLE NAME FLAPFOUR

VARIABLE LAEEL CIS-R score In 4 groups

VALUE LABELS

flapfour (1) O-5 (2) 6-11 (3) 12-17 (4) 18+

CREATED BY MP

CHAPTER All chapters Report 1

DERIVATION recode aflaptot (lo thru 5=1) (6thru 11=2) (12 thru 17=3)

(18 thru hi=4) Into flapfour

MISSING VALUES None

(FILTERS)

L

, 70

oIG2

(

VARIABLE NAME FLAPTWO

VARIABLE LABEL CIS-R score in 2 groups

VALUE LABELS

flaptwo (1) 0-11 (2) 12+

CREATED BY HP


DERIVATION recode flapfour (1 thru 2=1) (3thru 4=2) into flaptwo

MISSING VALUES None

(FILTERs)

71

[03

VARIABLE NAME QUAL4

VARIABLE LABEL 4 levels of qualification

VALUE LABELS(l)A level+ (2)GCSE Olevel (3)Oth qual (4)none/

CREATED BY MP


DERIVATION recode bf2 (1 thru 3=1) (4=2)(5=3) (else=4) Into qua14

MISSING VALUES None

(FILTERS)

(

72

VARIABLE NA14S ACCOM4

VARIABLE LABEL 4 types of accommodation

VALUE LABELSValue Label

1.00 detached2.00 semi3.00 terraced4.00 flat

CREATED BY MP


DERIVATION recode a4 (1=1) (2=2) (3=3)(else=4) into accom4

MISSING VALUES None

(FILTERS)

(

. 73

VARIABKIE NAME OWNSORNO

VARIABLE LABEL Ownsorno ‘owner occupier or renter’

VALUE I.JiBELSNone

CREATED BY MP


DERIVATION

recode tenure4 (1 thru 2.1) (3 thru 4.2) intoownsorno

MISSING VALUES None

(FILTERS)

(

, ’74

106

VARIABLE NAME MANUORNO

(

VARIABLE LABEL manuorno ‘nonmanual or manual work’

VALUE LABELSNone

CREATED BY UP

CmmER All chapters Report 1

DERIVATION

recode sc (1 thru 3=1 ) (else=2) Into manuorno

MISSING VALUES None

(FILTERS)

75

IZ-7

VARIAELE NAME TENURE4

VARIABLE LABEL 4 types of tenure

VALUE IABELS

Value Label

1.00 owned2.00 mortgage3.00 rentLAHA4.00 rentothr

CREATED BY MP


DERIVATION recode tenure (1=1) (2=2) (3thru 4=3) (ELsE=4) into tenure4

MISSING VALUES None

(FILTERS)

(

* 76

[

VARIABLE NAME CHILDGRP

VARIABLE LABEL None

VALUE LABELS

Value Label

(1) nokids(2) 1kid(3) 2kids(4) 3+kids

CREATED BY HP


DERIVATION recode nchldren (0=1) (1=2)(2=3) (3 thru hi=4) intochlldgrp

MISSING VALUES None

(FILTERs)

. 77

,

VARIABLE NANE REGION3

VARIABLE LABEL Country

VALUE LAEELS

region3 (I)ENGLAND (2)SC0TLAND (3)WALES

CREATED BY t4P


DERIVATION recode region (1 thru 14=1)(16=2) (15=3) into reglon3

MISSING VALUES None

(FILTERS)

78

:;31

Variable name: SYMPI to S’YMP14

Variable label: SYMP1 somatic symptoms = ~,oSY14P2fatigue - 111SYMP3 cone/forgetful ‘~SyMP~ sleep probs ‘.SYUP5 irritabilitySYMP6 worrylphys health= !’~SYMP7 depression = ~ ~SYMP8 depressive ideas -!“SYMP9 worry - -SYMP1O anxiety ~“SYMP1l phobias ‘-SYMP12 panicSYMP13 compulsions :SYMP14 obsessions

Value labels: 1 !(2’2 12+1

Created by: Baljit/Mark

Chapter: Reportl, ch 5

Derivation: Scores from check card are reduced to 2 bands,less than 2 if symptom not considered present,and 2 or more if the symptom is present.

See attached sheet.

Missing values:

Filter: A9 = 1 (ie no proxies)

79

(

(

Variable names: f3200 f3201 f3210 f3211 f322 f4000 f4001f401 f402 f410 f411 f412 f42 mildep moddepsevdep dep phob agora panic gad ocd maddlagnol diagno

Variable labels:f3200 ‘mildep w/o somsym’ / !:Lf3201 ‘mildep with somsym’/l25f3210 ‘moddep w/o somsym’/ iz6f3211 ‘moddep with somsym’/,?7f322 ‘severe depression’1 ,..milddep ‘mild depression’1 “moddep ‘moderate depression’f’>~f4000 ‘agora w/o panic’i,?~f4001 ‘agora with panic$l”i~f401 ‘social phobia’ / l->?f402 ‘specific (isol) phobia’/ l’~f410 ‘panic disorder’/ ‘- ,f411 ‘generalised anxiety’disorder’l ‘

-.~

f412 ‘mixed anxietyldepressive disorder’1f42 ‘obsessive compulsive disorder’1 -diagnos ‘11-categ.hierarch.disorder’ / ‘ c=diagno7 ‘disorders 7 hlerarch’/phob ‘any phobia’/ ILagora ‘any agoraphobia’ ‘!-? .-

Value labels:f3200 to f42 phob agora: O ‘not present’

1 ‘present’/dlagno7 O ‘no dls’

1 ‘Psychot’2 ‘MAD’3 ‘GAD’4 ‘Dep’5 ‘Phob’6 ‘OCD’7 ‘Panic’/

dlagnost O ‘No dlsord ‘1 ~Psychotic’2 ‘sev dep ep’3 ‘mod dep ep’4 ‘panlcf5 ‘oCD’6 ‘mild dep ep’7 /social phob’8 ‘Agoraphob’ 9 ‘GAD’10 ‘Spec lso phob’11 ‘MAD’

Created by: Ba131t, Mark

Chapter: All reports

Derlvatlon. See attached sheets

Missing values: None

Filters: a9 = 1 ( ie no proxies)

* 80

In the subsequent pages are the derived variables which M haveput forward to produce diagnoses of neurosis.

Each variable is in a separate box, there are 13 of them overail.

The ICD-10 codes are the DV names, eg F32.00, F32.01 etc

The diagnosis is the DV variable label

The criteria or CIS-output are equivalent to our derlvat~on

Note that the derivation is based on question numbers in the Aschedule. In many cases they will need to be prefixed by theletter lA’. Take care with the specificat~ons from Section O, thegeneral rules do not apply here.

The value labels of the DVS are (1) ‘symptom present’(’ (2) ‘symptom absent’

(3) ‘symptom notknown’

For a symptom to be present (Code 1) all the criteria must applyIf any constituent part of the criteria has an NA, Code 3In all other cases, Code 2

, 81..

al ‘-N

ICD-10 DIAGNOSTIC ALGORITHMS BASED ON CIS-R & PROQSY OUTPUTS

ICD-1 O code Diagnosis Crileria CIS-R output PROQSY output

F 3200 Mild depresswe episode 1) Symptom durallon 22 weeks l) G10ge2without somatic symploms

2) Two or more from 2) Two or more from”“ depressed mood ● G4=1 and G6=1 and G7=1o loss of mlaresl . G5=1 and G6=1 and G7=1. Iallguabdlly .B10ge2

A(t@3) Two or more from 3) Tyvo—ormoWrom

~d5oreduced concentration ●C9ge2. reduced self-esteem . H5=1o Ideas of guilt . H4=1“ pesslmlsm about future ● H6=1● sulcldaf Ideas or acts . H9=1● disturbed sleep .Dflge2o dlmmlshed appellte ● 16=1

4) Social impairment 4) Ob=l or Oa ga 1

5) Fewer than four from 5) Fewer than four fromo lack of normal pleasurehnleresl . G5=1 .

=s. loss of normal emobonal reaclwlty “ G9=1“ am waking 22 hours early . D7=1 and D3=Io10SS Ofhbldo OH

P~~.z

● dumal vanabon In mood ● 1=1. dlmtmshed appeble . 18=1. loss of >5°/’ body weight ● 19b=l“ psychomotor agllahon ● H3a=lo psychomotor retardabon . H3b=l

1

,-

.

ICD-10 code Diagnosis Criteria CIS-R output PROQSY output -

F 3201 Mdd depresswe episode 1) Symptom durahon 22 weeks l) G10ge2wllh somatic symptoms

2) Two or more from 2) Two or more from”“ depressed mood o G4=1 and G6=1 and G7=I● loss of mlerest “ G5=1 and G6=1 and G7=1

.B10ge2

● ‘at’guab’’’tti3) Two or more from 3) Two or-!%$from● raduced concentrahon “c9ge2“ reduced self-esteem . H5=1o Ideas of guilt o H4=1“ pesslmlsm about future . HrJ=l. sulcldal Ideas or acts “ H9=1- disturbed sleep “Dllge2“ dlmmlshed appehte (~LoW) . * l%: 3.

4) Social Impalrmenl 4) Ob=l or Oa ge 1

5) Four or more from 5) Four or more from. lack of normal pleasurehnterest “ G5=1. loss of normal emotional reactiwty “ G9=1o am waking 22 hours early ● D7=1 and D3=1● !0SSOfIlbldo M–---——— ---- ____ . - l&L-● durnal variation m mood ● Hl=lo dlmmlshed appebte . 10=1. loss of 250/0 body weight . 19b-1o psychomotor agltatlon ● H3a=lo psychomotor retardation ● H3b=l

1

w

2

. .

cm

CD-10 code I Dieanosis I Criteria I CIS-R output I PROQSY output

‘3210 Moderate depresswe 1) Symptom duration 22 weeks l) G10ge2episode wlthoul somatic m

J 1

symploms 2) Two or mew from = 2) Two or more from.● depressed mood ● G4=I and G6=I and G7=1. loss of interest ● G5=1 and G6=1 and G7=I. fatlguabhty .B10ge2

3) Four or more from from 3) Four or more from.. reduced concentralton .C9ge2. reduced self-esteem . H5=1. Ideas of guilt . H4=1● pesstmlsm about fulure ● H6=1. suicidal Ideas or acts . H9=I● disturbed sleep .Dllge2● dlmmlshed appetite . 18=1

4) Social Impairment 4) Oa ge 1

5) Fewer than four from 5) Fewer than four from. lack of normal pleasurefinteresl ● G5=1. loss of normal emobonal reacbwty . G9=1. am waking >2 hours early ● D7=1 and D3=1. 10SSof hbldo 92kl ~%. >.

● dwrnal vanalion m mood ● Hl=l● diminished appetite . 18=1● loss of 25”/obody weight . 19b=lo psychomotor agdatlon . H3a=l● psychomotor retardation . H3b=l

3

(-

———ICD-1 O code

F3211

Diagnosis

Moderate depressweepisode wllh somaticsymptoms

Criteria

1) Symptom durabon 22 weeks

3) Four or more from from. reduced concentrationoreduced self-esteem● Ideas of guilt. pessimism about futuressulcldal Ideas or actssdisturbed sleepsdlmtmshed appehte

4) Soctal Impawment

5) Four or more from, lack of normal pleasurefinterestoloss of normal emollonal reacbwly) am waking 22 hours earlyI 10SS Ofhbldo) durnal vanahon m moodI dlmtrwshed appehle‘ loss of 25% body weightI psychomotor agltatlon) psychomotor retardation

CIS-R OUtDUt

l) G10ge2

2) Two or more from● G4=1 and G6=1 and G7=I● G5=1 and G6=1 and G7=1.B10ge2

3) Four or more from“C9ge2. H5=I. H4=1● H6= 1. H9=1●Dllge2. 18=1

4) Oa ge 1

5) Four or more from● G5=1“ G9=1. D7=1 and D3=1“w● Hl=l● 18=1o 19b=loH3a=loH3b=l ‘

PROQSY OUtDUt

cmu-r 4

co-—.——

ICD-10 code Diagnosis Cnleria CIS-R OUtfNlt PROQSY output

F322 Severe depresswe episode 1) All three from 1) All three from

o depressed mood . G4=1 and G6=1 and G7=1

. loss of mleresl o G5=1 and G6=1 and G7=1

. Iahguabthly , .B10ge2/.

2) Four or more from from 3) Four or more from. reduced concenlratton .C9ge2. reduced self-esteem . H5=1

. ideas of guilt . H4=1

“ pesslmlsm about future ● H6=1“ suicidal Ideas or acts . H9=1. disturbed sleap .Dllge2

o dlmtmshed appehle . 18=1


4) Four or more from 5) Four or more from:“ lack of normal pleasurefinterest . G5=1. loss of normal emotional reactwlty ● G9=1

● am waking 22 hours early ● D7=1 and D3=I. 10SS OfItbldo “w N%-L

o durnal vanallon In mood . f-fl=l

● dlmmtshed appehle . 18=1o loss of 250/0 body weight ● 19b=l

o psychomotor agltatlon . H3a=l

● psychomotor retardation ● H3b=l—

(-

ICD-10 code Diagnosis Criteria CIS-R output PROQSY output -

F 4000 Agorophobla wllhout pamc 1) Fear of open spaces and related l) K3eqldisorder aspects crowds, distance from home,

travelhng alone

2) Social Impalrmenl 2) Oa gel -’/ 7

3) Avoldanl behawour must be 3) K7~31bpromment fealure

4) Overall phobia score 22 4) K9 ge 2 J

5) No pamc attacks 5) L8 Ie 1

ICD-10 code Diagnosis Criteria CIS-R output PRO(2SY output

F 4001 Agorophotxa wrlh panic 1) Fear of open spaces and relaled l) K3eqldisorder aspects crowds, dlslance from home,

travelhng alone


IL3) Avoldant behavlour must M 3) K7 JT3

7

promment feature

4) Overall phobia score 22 4) K9 ge 2

5) Panic dworder 5) L8 ge 2

m-1

6

cx -Cm

ICD-10 code Diagnosis Criteria CIS-R output PROQSY output

F401 Social phobias 1) Fear of scrutiny by other people l) K3eq3eahng or speaking m pubhc etc

2) Social tmpawment 2) Oa ge 1

‘?3) Avoldanl behawour must be 3) K7 ~3 ● lbpromment feature


ICD-1 O code Diagnosis Criteria CIS-R output PROQSY output

F402 Speclflc (isolated) phobias 1) Fear of speclflc slluatlons or things l) K3eq20r40r5eg ammals, resects, helghls, blood,flying elc

2) Social lmpatrmenl 2) Oa ge 1

3) Avoidant behawour must be 3)K7 1#3 — >71L

promment feature


7

-.

w——

l+~gw=yh ‘~;:ICD-10 code Diagnosis Crileria

F41o Pamc dtsordar 1) Crllena for phobic disorders nol mat

;)2) Racenl pamc attacks

> 3) Anxlely-free between altac

4) Overall panic scora 22

/

ICD-10 code Dlagnosls Criteria CfS-R output

6m~ l)J1l ge2’3

PROQSY output

F411 Generalised anxlelydisorder

2) Free-floating anxiety 2) J3 Ie 3+\ Tj(+,z

.

3) Autonomic overactwlty 3) J9 eq 1 51?L24) overall anxiety score 22 4) J12ge2

ICD-10 code Diagnosis Cntena CfS-R output PROQSY output

? “’2Mixed anxiety and nb. Both anxiety and depressive (41\ q~ ~depresswe disorder/’ symptoms present, but cntena for other

g till y ~)phobic or depression diagnoses

not ma ~ Jll qc. z

T

8

/---

ICD-10 code Diagnosis Crlterla CIS-R OUtpUt PROQSY OUtpUt

F 42 Obsesswe - compulsive 1) Durallon 22 weeks l) M8ge20r N8ge2disorder

2) At least one acI/ thought resisted 2) M4eqlor N5eql


4) Overall scores 4) M9eq40r N9eq40r● ObsessIon score eq 4, or (M9 + N9) ge 6● Compukxon score eq 4, or●O+ Cscoresge6

9

VARIABLE NAME ALCDEP2

VARIAELE LABEL ‘Ale dependence in 2 categories’

VALUE LAEELSvalue labels alcdep2 O ‘No depend.’ 1 ‘Depend.’

CREATED BY MP


DERIVATION RECODE ALCDEP (O THRU 2=0) (3THRU HI=l) INTO ALCDEP2

MISSING VALUES None

(FILTERS)

L

91

vmmmE NAME DRGDEP IDRGDEP2

VARIABLE LAEEL ‘Drug dependence in 2 categories’

VALUE LABELSvalue labels drgdep2 O ‘No depend.’ 1 ‘Depend.’

CREATED BY HP


DERIVATIONcount drgdep=dd3 dd4 dd5 dd6 ddl (1)RECODE DRGDEP (0=0) (1 THRU HI=l) INTO DRGDEP2

MISSING VALUES None

(FILTERS)

(Variable name: PSYCHDT

Value labels O - no functional psychosis1 - functional psychosis present .

The ICD1O diagnoses from the SCAN data are held In the variablesICDIA1 to ICDIA32 In the form of up to four numbers (eg the ICDcode F32 may appear as F3200). The data IS stored as stringvariables, and it may be more convenient to convert them tonumeric before manipulating them.

The derivation Involves searching the 32 variables for codescorresponding with the ICD1O codes for the followlng diagnoses:

Diagnosis:

SchizophreniaManiaBipolar Affective disorderOther Functional psychoses

Where lt was not possible

Code:

2Q0, 20)330 to 30.931 to 31.921 to 29

to carry out a clinlcal mtervlew(because of refusals and non-contacts), the Opts sift data wasre-examined taking into account the relat~onshlp between sift andcllnlcal data for those who had successful SCAN interviews. Thespecific sift crlterla examined were:

informants reported a psychotic illnessinformants took anti-psychotic medicatlonflnjectionsinformants said the doctor diagnosed a psychotic illnessinformants screened positive for psychosis on the PSQ(psychosis Screening Questionnaire)

Hence, among adults who did not get a SCAN interview, thosetakinganti-psychotic medication/in]ectlons and who also reportedthat they had a psychotic illness andlor that their doctor hadtold them that they had a psychotic Illness were regarded ashaving a functional psychosis.

93

(

NUMBDIS & NUklBDIS2VARIABLE LABELS NUMBDIS ‘NUMBER OF DISORDERS’VARIABLE LABELS NUMBDIS2 ‘NUMBER OF DISORDERS’

NUMBDIS shows the number of neurotic disorders which anindividual was found to have, physical disorders and alcoholand drug dependence are not included in this count. Thevariable is recoded into NUMBDIS2 to show whether peoplehad one or more than one neurotic disorder.

VALUE LABELS NUMBDIS 0=0, 1=1, 2=2, 3=3, 4-4VALUE LABELS NUMBDIS2 O ‘NONE1

1 ‘ONE’2 ‘TWO OR MORE’

Created by Kerskin

DerivationCOMPUTE NUMBDIS=ODO IF MAD=lCOMPUTE NUMBDIS=NUMBDIS + 1END IFDO IF GAD=lCOMPUTE NUMBDIS=NUMBDIS + 1END IFDO IF DEP=lCOMPUTE NUMBDIS=NUMBDIS + 1END IFDO IF PHOB=lCOMPUTE NUMBDIS=NUMBDIS + 1END IFDO IF PANIC=lCOMPUTE NUMBDIS=NUMBDIS + 1END IFDO IF OCD=lCOMPUTE NUMBDIS=NUMBDIS + 1END IF

RECODE NUMBDIS (0=0) (1=1) (2 THRU HI=2) INTO NUMBDIS2

Missing values: There are none (although if we had used -9swhen creating the variables GAI),DEP, PHOB,PANIC & OCD thenthose cases would be -9 here too).

Filters: The variable was originally designed to be used onthe subset of cases with a neurotic disorder (for whomdlagno3=2) to show how many neuroses they had, but it can beused on the entire dataset.

94

FALSPOS

varlsble labels falspos ‘whether false positive at b schedule~value labels falspos O ‘no’

1 ‘yes~

Some people received a long interview but were found to haveno neurotic disorders, analysis of data on the b scheduleshould exlude these false positives. Selecting on diagno3.2will overcome the need to remove false positives, but thevariable may be useful in some analysis.

Created by Kerstin

Derivationcompute falspos=Odo if ((diagno3=O) and (longshrt=l))compute falspos.1end if

Missing values: There are none

Filters: This variable would only be used when analysing dataon the b schedule without selectlng on cases where a mentaldisorder was ldentlfled.

95

(

)50

Variable names: CANINF~.o

Variable labels: CANENDCNSEYEEARCHDRESDIGGUSMISINFBLOSKIOTHMEN

END C!NSEYE EAR CHD RES DIG GUS MUS

2 ~3 64 6GBLO SKI O H MEN DKNA(1 .—CancersEndocrine/metabolicNervous systemeye complaintsEar complaintsheart, vessels, circulationrespiratorydigestivegenito-urinarymusculo-skeletalinfections, parasitesblood disordersskin complaintsother complaintsmenatlloraanic

DKNA NA, insuf~icient

Value labels: O not present1 present

Created by: Bal]it, Mark

Chapter: Report 2, long standing

Derivation: see attached sheet


L Qo> ““~’ “w

~a-

illness

info

++.=&

-nt droppi w sun dam ●nd -tit-q w. for ~port ta windan

get film . nl%l sys/k-p . s- en diag- qu.14 ta ragim3mrkorm tO •V~i lwrk SWIP1 to s~14 fl.pfour fl.~dw phab ad panic gad nd ●lcd8p2 drgd.p2 drgdep d~agm? diagm3

-nt NW SEC711Y4LCW3 AT 7HE F%Y31fXL CQ#UINTS

Ccmmnt chock fC7 hi$s . ra~.af . . .

bmmt M3’7E. mtcbdn Psmie. nw-vticCanm.t ●nd d@ped+rca diso~ ●lrudy w.wud by tln diagnose variablei-nt ●.o.81O to 690, and ●lsa ottur pssiatric disotim, bouusa this-nt fs ta usus FfivSICALaowkld+ty

b!mmt -h ..riabl. ruords tha nt&+r of ti-s it appoara across ●ll vars

awnt W.blaOl, Mla02, kla03, hlaM, @laOS, MlaM, ~la07, Mlarn (010 thru013)aunt ENhklaOl, bla02, kla03, hlti, ~la050WlaM, ml.07, kl.m (oi3S thw 034)aunt CNS.balaOl ,bala02, bala03, bala04, ba1a05, *l.OS, ~la07, *la06 (0S0 thm 495)aunt EYE. balaOl ,bala02, bala03, balaOS, Mla05, balaOS, kal.07, bal.24 (090 thm 100)COJnt EAR.balaOl, balt02, bala03, balaM, b+l.OS, bilaW, Lul.07, balaO6 (11O thm la)COWlt ~bltil, kIt02, b.1.03, blaW, mlaOS, mlaW, ~l.07, hlaW (1W thm 210)count RES.blaOl, hla02, bl.03, tilaM, mla05, Ml.M, Mla07, kl.M (220 thm ZW)mmt O1kbl 101, kla02, kla03, hlaM, hla05, M1.W, bla07, blaU (260 thrv 290)CeUnt W3-baltOl ,bala02, bala03, kla04, hla05, balaM, bal.07, bal.OS (s%0 thm 3.so)-rrt ~blaOl, hla02, bla03, hlaM, mla05. ~laW, ~la07, blaW (340 thm 340)aunt IW.klaOl, Mla02, bla03, bal.M, bala05, ~laM, ~l.07, Mlarn (37o)cant W-O.bal.Ol,b41a0 2,bala03,ba la04,bs 1a05,ba ltOS,MlaO7,Mlaag (280)caretSKI.balaOl , bIlt02,1xlm03, bhla04, bal tOS, talaC6, bala07, bala06 (3S0)CCUnt OTH.hlaOl, hla02, kla03, bla04, Mla05, blaW, hlt07, MlSM (4M thm 412)~nt OLO.bal .01, bala02, bala03, bal@4, bala05, bala06. bala07, balaOS (420)cant WN.blaOl, hl.02, kla03, Ml.M, hl.05, ~l.M, Ml.07, Ml.W (s00 tJN.U 899)caret VIT.balaOl ,bala02, bala03, bala04, bila05, bala06, Lul.07, Ml.M (9$9)aunt OkNA.balaO1 ,bala02, Lula03, bala04, bala05, balaOS, hla07, bal.OE (999)

bMt8flt tic M -r Of di ff.mnt i 1lMSS with{” a cztq.,my i, not lm@-tant

mmdc cm ●nd cns ●m .a. CM ru di~ 9.s ms Inf blo ski oth old -n vit dkna(1 thtw htghut-l)(GlsO . O)

variable l~blsCAN ‘Carcws,lENO “Endocrlm/mtzbabal lCS ICNs ‘ NW-..Ws Sfltm, /EVE‘Em UnPlafntS>/EAR ‘ Ear cmplaints” /OiO ‘Hurt. uu991s, circul.tic.n, /RES SRnp4.$tovy, /OIG ‘ O$gast iv., /QJS ‘Gn$to-ur<rury-/tuS ‘Wsculmk.letal ,/INF , Infutims, par., $t”-/640 ‘Blind dis.at+m, /SKI ‘Skin cmplaints- \07n WthW- -laint,, /(XO ‘Caplaint m 10IIO.V pr.m.t, /HEN Stlonts 1/oraganic S/vIT ‘To p-ant cmplaint$ /OKnA -W insufficl.nt info.

Valua labtls C4N to WNA dmp tn -d O ‘mt pr.unt, 1 ‘praant”/

Camont mat i rq OVS for s.rvica .U

do if tcl Ml . 3 Or bclbOZ. 30. bc1M3 . 3 or bc1b04 . 3cmwt. GFWE . 1●1,* if bclbol . 2 0, klbQ . 2 o!. klkQ3 . 2 ., ~,M4 . 2cc-@ta GWE - 2

97

E Neurotic duo&rs andphystcal conqJLunu,;., ,..

-,- - .“%. ....’ . . ../ .-

Table21 percentageof adults with eachphysicalcomplalntbyneuroticdleorder,CoMPSWOd with1SS9GHSeetimatea

Any WUM!!C No IWAWOI,C \ll 36U11S G% -d,mrder dwmder adults

●ged 16-64

Percentage uwh each ccwnpl,wnt

k5.- /557

11

4

4

3

7

I

4

2

I

3

I

I1

3I

I

0

1

II

2

2I

I

1

1

0

0

34

23 11553

7I421

633I

6

s

3

3

2

2 21

1

2 2

2 2II

1 1

1 1

1 0’

0 0

33 . .

97JI /5734

30-J.n-95 SPSS RELEASE 4 1 FOR VAX/kT!SPag* 1

llWYI SP5-S VAX/v7f3 SITE on GREEN wt3v61

VAX SPS5 VAW?4S SITE Licansa Numbw 10120This SOftwara i, funstlc.tul thrcagh OZtotar 31, 1995

Try tha w WSS Relaase 4 1/4 O foaturts

● LWISTIC REGRES31W prccod. r. ● CATEGORIES Option● WMINE pkurw tn UPIC.IU data ● co.joi nt analysis● FLIP ta trans~ data f i 1.s m rnrrespar.danm ●naly81s* FL4TRIX Transfo~t i mm l-m-qu.~. ● GRAFU i ntarf ●cm ta SPS5 Graph* ALL-IN-1 Intarf~ TO SP33 ● LISREL71PREL1S Procbdum

%0 th m SPSS dmntation for mom in fo-tion on those raw fozturss

1 0 g-t fi 1.-.1361 jun sya/k”p.a9 f lapfmr bbldna ta bb2kOk3 ps@W20 loqshrt bl ocd panic @ md d.o p~b diagnn3 sub-30 tin ta tski .11.01 to ●lla0640 hlaol balaoz balao3 bal.w

bala05 ba1a06 bala07 bala09::

Fil. GREEN$OU200 [XX1361 RESEARCd]N1361JUN SYS,CrUtUl 20-Jls&95 19 23 47 - 3,506 .ar+abl.s

1’ Casm ● m -Ightd by FINAL14T

::90

10 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 0Ze o29 03Q031 032033 034035 0

wlti if ((.9.1) and (bl no 3) JIM (diaQrm3 M 1))

● lax

-- amhrit .0~f ●ny(340, ba1a01 .ba1a02. ba1a03, b.1.04, bal.OS, ba1a06. b.1.07, b.1.08) or

MY(~. allaOl, alla02, a11a03, allaM, a1 1a05. all.06, alla07, a11.06)●rthrlt .1

-- back .0{f any(35J3, bala01 ,~la02, hla03, hlaW, hl@5,0.1a06, Mla07, bala08) or

●ny(3W..l l.O1, a11.O2,.llaO3, .ll.04,.11 a05, alla06, alla07,.11a06)bmck -1

O=Puu OtFeUs .0if ●ny(360, balaOl , bala02, bala03. bala04, ba1a05, ba1a06, bala07, ba1a06) or

any(360, allaO1. a11a02, alla03, al 1.04,.11 ,05,,11.06,,11.07,.11.08)Ovmus .1

mmda *S (0.1)(1.0) into t-s

● RES

-- branch -O~f any(220, ba1.01 ,bala02, b1a03, ba1a04. ba1a05, h1a06, ixla07, ba1a06) .x

any(220, allaO1, a11a02. a11a03,.11 .W. a11a05. a11aC6, a11a07, a1l.W)bro=h .1

-- asthma .0!f #ny(230, ba1a01 ,bala02, Mla03. bal.04, ba1.05, &l.06, bala07, ba1a06) or

any(2~, allaOl, alla02..11 .03, allaW, allaOS. a11a06, alla07. a1l.W)●thu .1

C_)c’

7 99

(“

%J.n-95 SPSS RELEASE 4 1 FOR VAX/VHSPago 2

11 51 00 SPSS VAX,WS SITE . . GREEF WlSV6136 037 03s039 040 041 042 043 0Uo45 046047 04s049 0S00m 0GoS.30S4055 056057 0=059 060 061 062 063 064065 066 067 0iii69 070 071 072 073 074 075 076 0770

63064085 0S6007 0680690

cmmwti hzvfava”Oif ~ny(2WI tilaOl. bla02, bala03, ba1a04, Ml.05, ba1a06, Mla07, ba1affl) O.

●ny(240, allaOl, a11a02, a11a03, al 1a04, a11a05, a11a06, a11a07,.1 1.08)hlyf aw.r. 1

-w- othras -0if any(2W, MlaOl, bala02, ba1a03, bala@, bala05, h1a06, bala07, ~laO8) e.

any(2M. alltOl, alla02, alla03, allaM, slla05, allaM, alla07, allaW)** .1

rwxda trm (0.1)(1.0) into trmr.s

● Qlo

cuPIta Strok. .0ff my(l~, ~laO1, kl.02, ml.03, bl.M, &1a05, blaW, ba1a07, b.l.W) or

MY(l=. allaOl, a11a02. a11a03. a11a04, a11a05, a11a06, a11a07, a1laW)stmkt .1

~ ●ttack -Oif wy(160, balaOl, hla02, b1a03, bla04, hla05, bla06, bala07. bl.W) m-

●ny(160, allaOl ,alla02, alla03, al 1a04, a11a05, alla06. alla07, al 1a09)●ttack -1

-* hmmn-OIf any(170, blaOl ,kla02, ba1.03, bala04, k1a05, ba1a06. ~la07, bala08) or

MY(170, allaO1, a11a02, aIla03, al la04, a11a05, a11a06, alla07, a11a08)hymrtrn. 1

Cnw8Jta Othham-t.oif .ny(160, ba1.01, bala02, lxla03. ba1a04, ba1a05, bla06, bala07, bsla08) m- ,

an~(l W.allaOl, a11a02. alla03, allaW. a11a05, alla06, alla07, al la06)‘YthlA-i.1

Cawta piles .0If ●ny(190, bal.01 .bl.02. bala03, balaOd, ba1a05, bala06, ba1a07, blaOQ) or

any(190, allaOl, a11a02. alla03, alla04, al la05, alla06, alla07, a11a08)pilas .1

-ta v8ins .0if any(2M, b.laOl ,hla02, bala03, ba1a04, bsl105, bal.06, ba1a07, ba1aOB) m-

any(2M, ill*Ol, alla02, a11a03, a11a04, al la05, a11a06, alla07, a11aCS)vdns .1

-+.Q Ot.hwbv =0if ●ny(210, bala01 ,b.la02, bal.03, bala04, ba1a05, ba1a06, ba1a07, balaOS) m

MY(210. allaOl, alla02, a11a03, al la04, a11a05. a11a06. a11a07, alla08)Otinrbv- 1

-S tiM (0.1)(1-0) into trccM* OIG

W- stil~r.Oif my(260, balaOl ,Lula02, bala03, balaM, bala05, bla06, bala07, bala09) or

any(2M, tllaOl, alla02, alla03, allaM, alla05, alla06, alla07, allaffl)Stilar.1

cQIWta DtMig -oif any(270, ba1aOl .bala02, bala03, b+la04, bala05. tm1a06, bala07, b1a06) ol-

MY(Z70. ~11 JOl ,~ll~02,alla03,~l lJ04, ~ll~05. ~11A06, ~l 1.07,.11.06)OtM1g .1

-to it-dig-t-o

ioo

U.l.J.. -95 9SS RELEASE 4 FOR VAX/Wi3

II 51 01$=1 Oif91 092 093 096095 0%0

Pa’G. 32J33VAX/VM5SITE on GREEN W.5V61MY(271 .balaol .~1a02.ba1a03, balaC4, bala05, bala06, bala07, ba1a08)MY(271. all.O1,.ll .02,.lla03, i11z04, a11a05, allaO{, alla07, al 1.0.9)indimst.1

97 0930990

la o101 0102 0103 0104 010s o106 0!07 ola o!06 o110 0111 0112 0113 0114 0115 0116 0II? o118 0

127 01:8 0129 0131 0131 0132 0133 0134 0135 01% o137 0136 0136 0140 0141 0142 0143 0

or

. . . . .‘=wJta !amcmas.oif my(272. balaOl, M1a02, bala03, mlaM, h1a05, bala06, Mla07, balaffl) or

MY(272> allaOl, alla02> alla03, allaM, alla05, al la06, alla07, alla06)m=l-ou.l

-* gall -oif my(273, balaO1, hla02, bala03, Ml.M, hla05, kla06, bla07, hlaW) or

MY(273, allaOl, alla02, a11a03. allaW, allaOS, alla06. alla07. al1aW)g211 .1

cmQJt4 libw .0if my(274, b.l.Ol, kla02, bala03. blaW, hla05, hla06, b1a07, hlaM) o,

~~~. allaOl, a11a02, a11a03..l laM, alla05, allaM, alla07, allaw).1

-- -1 .0if my(W, kltil, kla02, ba1a03, hlaM, Mla05, hla06, hla07, balaM) or

MY(2rn, allaOl, alla02, alla03, allaM, alla05, alla06, alla07, alla@)*1 .1

-- -th .0if my(2W, bal.Ol, k1.02, tila03, M1.M, hl.05, h1.06, b1.07, h1aW) or

MY(2W, al laOl ,alla02, al la03, a11a04, alla05. a11a06, alla07. a11a06)m?,,th .1

-. Wig (0.1)(1.0) into tdig

*W

-t* ●Pil*Dsy.oif mY(60 balaOl, M1a02, bla03, hlaM, h1a05, bla06, bala07, b1aO8) c..

my(60. allaOl. #11a02, a11a03, al laM, alla05, alla06, a11a07, allaM)*i I.pay.l

CcmW-a ml.J,ail19.oif m,(70, hl.Ol, hla02, bala03, bala04. kla05. ba1.06, kla07, ba, aO8) .ar

MY(70, allaO1, a11a02. a11a03. al la04, alla05, alla06, a11a07, a1 law)mfQraim.1

-- otkns -o$f my(W, hlaO1, h1a02. ba1a03. b1a04, &laOS, hla06, kla07, M1aW) o,

mY(60, allaO1. a11a02. a11a03. a11a04. al la05. alla06. a11a07. a11a06)ot-<ns” .1

if rny(8i~kl aO1, tila02, ba1a03, blaM, bla05, mla06, hla07, hlaM) or

MY(81, allaO1, a11a02. a11a03. allaM, allaOS, a11a06, a11a07, a1laW)~rki nsn.1

W- huntiwn.Oif my(82, blaOl, Ml.02. h1a03, kl.W, klaOS, kla%, hla07, til.W) or

MY(8ZoallaOl,alla02.Slla03SallaM, alla05, a11a06, alla07, allaW)bntimn.1

-. .i=hi. .0if &(83, ka1a01 ,~1a02, bal.03, bala04, ba1a05, ba1a06, bala07, ba1.06) or

W(83, allaO1, a11a02, alla03, a11a04, all.05, allaW, a11a07, allaW)

W* brain .0if any(84, klaOl ,ba1a02, h1a03, bi1a04, bala05, bala06, ix1a07, balaO6) .x

101

WJur 95 SPSS RELEASE 4 1 FOR VAX/W5

. .

146 0 oanouta rm.O147 >14s ‘3149 2154 Y151 9152 0153 0134 0155 0135 0157 0158 0159 0160 0161 0162 0163 0164 0165 0166 0167 0166 0169 0170 0171 0172 0173 0174 c175 0176 0177 0178 0179 0la o181 0182 0-363 0164 c,185 0lM o16.7 0la9 o~a9 o190 0191 0192 0193 0194 019s o1% o197 0

if kny( 85, bala01 ,ba1a02, ba1a03, b.la06, balaOS, ba1a06, bala07, bal W2S) 0?●ny( 85, allaol, allao2, a11a03,.llaOd, al laOS,.l la06. a11a07, a11a08)m. 1

-. tens (0.1 )(1.0) into tram

* ENO

-- dia~.Oif tny(20, MlaOl, bsla02, m1a03, balaOd, hla05, balaC6, balaO7, bala08) or

any(20. allaOl. a11a02. a11a03, allaW, nlla05, a11a06, alla07. al laM)di;li.s~.l

-* h0rmsd8f.oif any(30, balaOl ,t+la02, k1a03, bal.04, bala05, bala06. kla07, ba1aOE) or

●ny(30, a1 laOl ,a11a02, a11a03, a11a04. aIla05. all J06*alla07. al 1@9)

mnwta thmids-Oif any(31, MlaOl, mla02, bal.03, balaW, bla05, hla06, Mla07, klaW) or

anX31. allaO1. alla02. a11a03. al la04, alla05, alla06. a11a07, alla06)thfiids.1

cmputa ●ddscush.Oif any(U, M1aOl, M1a02, hl.03, blaM, Ml*05, bal.M, b.la07, hlaO8) or

any(u, allaol, a11a02, a11a03, allaM. a11a05, allao60 a11a07, a1laoa)addsmsh. 1

wu A1OS .0if .ny(33, b41a01 ,bala02, ba1a03, bal.04, bala05, ba1aM, bala07, bala08) o.

any(33, allaOl. allao2, allao3. allaw, alla05, alla06, alla07, a1laO8)AIC6 .1

C9nputa oh lty.oif any(M, balaOl, Mla02, h1a03, baltW, hla05, Mla06, bala07. balaM) or

MY(M, I1laOl, alla02, alla03. al la04, a11a05, a11a06, alla07, a11a08)Obn i ty. 1

mwd* -rid (1.0)(0.1) into trmrd

* Q.Ls

ccmPIta kidmy =0{f any(WO, bal.01 .bal.02, bala03. balaOA, ballo5. bala06, kla07. balaO.6) O.

●y(200,a llaO1, a11a02. alla03,a 11a W,alla05,al la06, alla07, a11a06)kidmy .1

Cmta uril-m .0if Any(310, hlaOl ,bAla02, bla03, blla04, ba1a05, tMla06, bAla07, tNla06) or

●ny(310, allaOl, a11a02, alla03, al la04, alla05. a11a06, tllao7. all.M)wins .1

_ts bladdw -Oif any(UO, hlaO1, hla02. m1a03, bal.M, hl105, bala06, ba1a07, MlaW) o.

any(~, all*Ol, alla02, alla03, allaM, alla05, alltM, alla07, al laM)bladder .1

cmput* r-qm-a -o

%-J.. -95 S0ss REL[ASE q , FoR l/Ax/vM

11 s, M198 0199 0200 0201 0202 0203 0204 0205 0206 0207 0206 02090210 0211 0212 0213 0214 0215 0216 0217 0218 0219 0220 0221 0222 0223 0224 0225 0226 0227 0228 0229 0Zm o231 0232 0223 0234 023S O236 0237 022a o23 0260 0241 0242 0243 02U o245 0266 0247 024a o249 02% o251 0

Pao9 5SPSS iAx/wS SITE on GREEN W5V61

if any(330, balaOl, bala02, Mla03$hl a04, bala05, bala06, bala07, bal JO8) or

any(330.:~ laOl, alla02. alla03. alla04, a11a05, alla06, alla07, allaO8)--pm

rou.i. wus (0.1 )(1.0) into tncq.s

● EAR

~ta delfnus-Oif any(ll O, b+laOl ,bala02. ba1a03, balaCd,, bla05, bala06, bala07, bala08) or

MY(ll O.allaOl .a11a02. allao3. alla~ual la05, allaM. a1lao7salla~)tifw,.1

~ ti..$tu-oif ●ny(120, balaOl ,bala02, bala03, bala04, hla05, bala06, bsla07, bala09) or

MY(120. allaol. S11a02,.l lao3..11a04. a11a050 a11a06, Z11a07. Zlla~)t{mitu%.1

wt4 -.{* I-4 .0if ..y(l%, klaOl, tila02, hla03, balaM, hla05, bala06, ba1a07, ~la~) or

any(lW, allaOl, alla02, alla03, cllaM, alla05, allaM, a11a07, allaU)ml- .1

wb othhur .0If ●.y(140, ba1aOl ,bala02, bala03. hla04, bala05, hl.06, ba1a07, ba1aO#) ol-

●y(140,a llaO1. a11a02. a11*03,alla04, al la05, alla06, a11a07, a11a&9)tihtmar .1

rued* war (1.0)(0.1) $.?.0 tn-ar

WUta cat.ract..Oif any( W, balaOl, ~la02, Ala03, hlaM, hla05, klao6, Mlao7. ~lao8) Or

●w( 90..11.01 .al la02, a11a03, a11a04, alla05, a11a06, alla07, al l@B)Saurut.1

c-mJt9 Ottwa .0if anY(l W, balaOl ,bala02. bala03, bal#34, bala05, bala06, bsla07, ba1sM) 0.

uIy(lOO, allaO1, a11a02, a11a03, a1 la04, a11a05, a11a06, alla07, all@W)Othmy. .1

- *y* (1.0)(0.1) intn t-ya

● C4KERS

*- MOPl Unl.oif .w(10. balaOl, ba1a02. ba1a03, bala04, ba1a05, bala06, bs1a07, bala~) or

any(lO, allaO1, a11a02, a11a03, allaOd, al la05, a11a06. a11a07, all@9)nOwlaM.1

-- t8=d9klns-OIf any(ll ,balaOl, bala02, bala03, ba1aC4, bala05, ba1a06, bala07, ba1a06) or

any(ll. allaOl, alla02, alla03, allaM, a11a05, a11a06, a11a07, allaW)hakkins-1

- bra I ntu-O{f ..y(lz, b.l.ol ,M1a02, bala03, bala04, bala05, bala06, ba1a07, ba1a@) O,

●nY(12, all.O1, a11a02, a11a03, allaW, a11a05, a1 la06, alla07. a11aC8)b.. i ntun- 1

103

30-Ju.-95 SPSe RELEASE 4 1 FOR VAX/V?iSPaga 6

11 51 06 3PS vW’V?’!3 SITE cm GREEN wS, V61

252 0 cfmwta ustut.O253 0 If ●ny’ ,3, M1aO1. hla02, bila03. ba1a04. bal.05. balao6. ~lao7, bJlao8) Or254 0 any(13. allaO1, alla02, all.13, a11a04, alla05, al la06, alla07, a11a08)255 0 Nst,ct =1256 0257 0 raod. tea- 0.1)(1.0) ,nto tmosa.2s o259 0260 0. .261 0 M.Jlt mapama OIUJPS .262 0 -S “mswlo-sk.l complaints’ (wthrit -k ottis tnmJs (1))263 0 m ‘rapiratmy UZWlaintSo (brmch uth hayfawr othrn tmrm (1))264 0 wchd ‘hNrt/clrcn canplaints’ (strok* attack hy~hn @*art piles265 0 -1.* othwbu tmctd (l))266 0 udig ‘di9wt1w qla{.ts’ (stcalrnr OtMiQ indi~ast pancreas gall267 0 liver tc+ml rcdh Wig (1) )26E O mrcns ‘ mrvu.m SW* anplaints’ (-pi lepsy mtgratna otkcm parkinsn269 0 Iuntfngn alzlui. brain m tnans (1) )270 0 rnmd ‘am$xrffn diswdws’ ( dia-as Iwnmdef thyroids addscush aids ebsit~271 0 tnmrd (1) )272 0 qua ‘~rito-urinary cqlaints’ (kidrny urina bladdar mpra tqus (1) )273 0 WUr ‘-r cmplaints’ (doafmss tinnit.s rm!iaro othkar trmw (1) )274 0 mmya ‘*w ccmpl ai nts’ ( cam.act titww t-w ( 1 ) )275 0 .rcw ‘canwr ●tc ccnplai.ts’ ( MOPlaVM ~okin* brain~m ms~t276 0 tnam (1 ))/277 0 .ariabln . d1agm3 (0,2) s.b~-x (1!2)/278 0 tablm . UNS wrn WCM dig .rcns mrwd mrg.smrur .mfl mean279 0 by diwt?a3 f280 0 mnus ● rru .rch.. .rd 3g .rcns .racd mrqus -a. mtuye mrcm261 0 by d3aqw3 by subs-t282 0 ban . asur263 0 cslls . aunt * ml...264 0265 0

IULT RESWSE MQ. i rss 7896 bytms of -rkspaco for -t Ion

w

NONUEN

Variable name NONMEN ‘Has a NON-MENTAL complalntlValue labels NONMEN O /not presentj 1 ‘presentt

This variable shows whether an individual who was asked the bschedule had ANY NON-MENTAL COMPLAINT INCL PHYSICAL & SENSORY,but excluding old complaints, those which were being preventedby vitamins or where the illness was not known.

Created by Baljit

Derivationcompute NONMEN = OIf (can = 1 or end = 1 or cns . 1 or eye = 1 or ear . 1 or chd= 1 or res = 1or dlg . 1 or gus . 1 or mus = 1 or lnf = 1 or blo . 1 oroth

=1)NONMEN = 1

Missing values: There are none (although some of the casescoded O should be -9)

Filters: This variable IS used to show for those with a mentaldisorder, whether they have any physical condition and soshould be used on the subset diagno3=2.

105—

COMORE, COHORB2 (see also allcomo)

These variables show whether individuals with a neuroticdisorder had just their neurosis or neuroses or whether theywere also alcohol or drug dependent or suffered from alongstanding physical illness. COMORB2 is a recode of COMORB~Those with a psychotic illness score O inthose without neurotic disorders but withproblems or alcohol or drug dependence.

this variable, as dophysical health

Variable labels

comorb ‘neurosis and other illnessescomorb2 ‘neurosis and other illnesses’

value labelscomorb O ‘no neurosis’

comorb2 O12

1 ‘neurosis only’2 ‘neurosis & 1 phy,alc,drg’ (THIS MEANS ONLY A

NON-MENTAL CONDITION,OR ALCOHOL DEPENDENCEOR DRUG DEPENDENCE)

3 ‘neurosis & 2 phy,alc,drg’ (THIS MEANs 2 OUT OFTHE 3 ABOVE)

4 ‘neurosis & phy & alc & drg’

‘no neurosis’‘neurosis only’‘neurosis & other’

Missing values: There are none

Derivation

COMOREcompute comorb=Odo lf (dlagno3=2)compute comorb=lend Ifdo if (alcdep2=l)compute comorb.comorb + 1end Ifdo If (drgdep2=l)compute comorb=comorb +1end ifdo If (nonmen=l)compute comorb=comorb + 1end ifdo lf (dlagno3 ne 2)compute comorb=Oend lf

COMORB2recode comorb (0.0) (1=1) (2 thru hi=2) into comorb2


* 106

Frequencies(selected on (a9=l) and (bl ne 1) and (dlagno3 ne 1)(le non-psychotic subject interviews who did not refuse the Bschedule)

COMORBo 81841 6522 811

79: 14

BASE=9741

COUORB2o 8184

652; 905

BASE-9741

107

ALLCOMO (see also comorb and comorb2)

shows whether individuals with a neurotic disorder had justtheir neurosis or neuroses or whether they were also alcoholor drug dependent or suffered from a longstanding physical orsensory illness. This variable shows all the possiblecombinations for those with a neurotic disorder, howeverphysical complaints and alcohol or drug dependence for thosewithout a neurotic disorder are not included. Those with apsychotic disorder are coded O at allcomo.

variable labels allcomo #neurosis and other disorders

value labels allcomo O ‘no neurosis’1 ‘just neurosis’2 ‘neur & phys only’3 ‘neur & alc only’4 ‘neur & drg only’5 ‘neur,phys 8 ale’6 ‘neur,phys & drg’7 ‘neur,alc & drg’8 ‘neur,phys,alc & drg’

Derivationcompute allcomo=Odo if (comorb=l)compute allcomo=lend Ifdo if ((comorb=2)compute allcomo=2end ifdo if ((comorb=2)compute allcomo=3end lfdo if ((comorb=2)compute allcomo=4end ifdo lf ((comorb=3)compute allcomo=5end Ifdo if ((comorb=3)compute allcomo.6end Ifdo if ((comorb=3)compute allcomo=7end ifdo If (comorb=4)compute allcomo=8end if

and (nonmen=l))

and (alcdep2=l))

and (drgdep2=l))

and (nonmen=l) and (alcdep2=l))

and (nonmen=l) and (drgdep2=l))

and (alcdep2=l) and (drgdep2=l))

Miseing values: There are none

(

Frequencies(selected on (a9=l) and (bl ne 1) and (diagno3 ne 1)(ie non-psychotic subject interviews who dld not refuse the Bschedule)

o 81841 6522 6993 73

39: 366 247 208 14

Base=9741

109

115- 1-?6

VARIABLE NAME SCANCODE/VSCANCODE

VARIABLE LABEL None

VALUE I.ABELS None

CREATED BY MP

CHAPTER Not used itself in any chapter

DERIVATION This variable 1s the codeallocated to a particular SCANinterview by the psychiatristsbooking in system. VSCANCODE 1Sa ‘security copy’ of SCANCODE

MISSING VALUES No missing values

(FILTERS) TO select those who had a full SCANlntervlew use:

select If (scancode le 3323 and outcome =1)

(

0 110

1-J1

VARIABLE NAME ALLOCDAT

VARIABLE LABEL (orglnal date allocated)

VALUE IABELS None

CREATED BY MP

CHAPTER Not used Itself in any chapter

DERIVATION This variable is the date aparticular SCAN interview wasallocated. It was originallyrecorded in the psychiatristsbooking In system.

MISSING VALUES 99999999, 99999998

(FILTERS)

111

I18

VARIABLE NAUE PSYNO

VARIABLE LABEL None

VALUE LABELS None

CREATED BY MP

CHAPTER Not used itself in any chapter

DERIVATION Psychiatrists code number,indicating the interviewer towhom an interview was allocated.It was originally recorded inthe psychiatrists booking Insystem.

MISSING VALUES 9999, 9998

(FILTERS)

(.

t 112

117

VARIABLE NANE OUTCOME

vARIABLE~BELNone (olATcam. .p

VALUE LABELS Value Label

1 Full interview2 Partial interview

S2uwl A-&L))

3 Refusal to psychiatrist4 HQ refusal5 Outstanding (non-contact)6 Can t allocate (no suitable interviewer)7 Withdrawn (Field error)

CREATED BY MP

CHAPTER Not used by Itself in any chapter - usedto select those who had a full SCANinterview, for example

DERIVATION Orlglnally recorded in thepsychiatrists booking In systemto indicate final outcome ofinterviews allocated to thepsychiatrists.

MISSING VALUES 9, 8

(FILTERS)

L.

113

(

vu IA2ElS *101 ta ccd.999 (0)mt “d (1 ).-

CREA1’Eoww

OWTERRaca-t2Chmtar2

OERIVATIIl( Any variable bagin.itq with ‘- ‘ Irdi=tas that tln in faru.t .SU a pat-t kular .gIUIp ofdnqs - V-n IMN .nd ta d tho dqs <. th8 b ulnd.lc @ds

ll1331ffiVNLE3km

(FILT3R3) NOM

(

‘any g“tre-intntinal ‘/‘any cadio-vascul.r s@u dnqs’1‘any rmplr.tory SP* dr-dgs’ I‘any U4S drugs-l‘any ●nti-infatton dr..qs’l‘any ~~m .ir’UQ%’l‘any GU swta dqs’f‘ any ml tgmnt Iiruus or ianmupwmts ‘ I‘any nutritim ●nd blind dmos”l‘MY mmwlo-sk,l-l drum ‘ /‘any ●W dnqs ’ /‘ ●ny skin Pm@arat+ am’

VALLEIJEls (0)fut “id (l)”s.d

~IVAT2C$l Thma .ariablcs bginnlng with “x.y - am higtmr lw1 gtipiw~ of drugs W an tkn da-which was mdsd fra tha A schod.1* in My 1995, 1. da- for thoso wlm didn’t w th B ddula -v.I-iablu USN -md -..*1Y inti 0Mas95. sys Aich .ss mtchal to tho main lM1 filaJOIN. PM

k ●l,a

HISS1N6 VALESIkarim

(FILT25S) Ikwm

115

VAR2M.E M mmisw ‘any gutrO-i*tirnl’/~w=+=w“w UIdio-vaawlar SW* dnqs “I•nn~ ‘ ●ny nspirat.xy s-k dt’uqs’ I●Wm9ya ‘any Cn2 drugs’1anyinf~ ‘any anti-tnfa-tion drws”/

MW~CC ‘any andc.=r~rn dqs’fmbW~W ; ..Y W sfl- dqs ‘ /m-l i9 any ml ignant drum Or i-mmuamsants’ /~1 ‘anY mtrition ●nd bl.ad dqs’1M-S- ;MY mmwlo-sk91atal dn.qs ‘ /an~ydr any ●m drugs’ Ianyxkins ‘any skin _ratfun’

vukE LMELs(0)fut .4 (l)usd

mmowfm

0w122r@pxt2

cCN2VAT2~Ttms8 vu~ablcs bqtnning with ‘any - ● m htshr 1-1 grcupiws of drugs usad by mlwith a tnmotic di-rd8r, <.* . AT+nd fra tha B SCHUIC llmy .- mad. by gmplrq up h ‘d’va.iabl” (x pnvious dv) 2W also JOIN Pffi

M2SSINCVMLE2h

(FILTERS) MM

(

!& vw5kL”p-

‘l-b‘ ‘%LVARIABLE N= tnygisys ‘any gastro-intestinal ’l

tnycvsys ‘any cardio-vascular system drugs’/tnyresys ‘any respiratory system drugs’1tnycnsys ‘any CNS drugs’/tnylnfec ‘any anti-infection drugs’1tnyendoc ‘any endocrine drugs’jtnygusys ‘any GLlsystem drugs’1tnymalig ‘any mal~gnank drugs orImmunosuppessants’ \

tnynuttd ‘any nutrition and blood drugs’1tnymssys ‘any musculo-skeletal drugs’/tnyeyedr ‘anytnysklns ‘any

VARIABLE LABELS (See above

VALUE LABELS (0)not used (1

CREATED BY HP

CNAPTER Report 2

eye drugs’/skin preparations’

used

DERIVATION These variables beginning with “tny...” are summaryvariables which put togther the drugs data from the A and Bschedules - i.e. the variables which start with ‘xny’ and‘any’. This 1s therefore a combination of drugs data whichwas coded from the A schedule in May 1995, and data from thosewho got the B schedule. The A schedule data was then storedseparately into codes95.sys which was matched to the main 1361file. See also JOIN.PRG

MISSING VALUES None

(FILTERS) None

117

(

VARIABLE NAME canx endxresx dlgxsklx othx

cnsx eyex earxgusx musx lnfxdknax nonmenx

chdxblox

VARIASLE LABELS (See above)

CAM CancersENDX Endocrine/me tababolicCNSX Nervous systemEYEX Eye complaintsEARX Ear complaintsCHDX Heart, vessels,circulationRESX RespiratoryDIGX DigestiveGUSX Genito-urinaryMUSX MusculoskeletalINFX InfectIons, parasitesBLOX Blood disordersSKIX Skin complaintsOTHX Other complaintsOLDX Complamt no longer presentt4ENX Mental/oraganlcVITX To prevent ComplalntDKNAX NA, Insufficient lnfONONMENX Has a NON-MENTAL COmplalt_it

VALUE LABELS (0)not used (l)used

CREATED BY UP

CHAPTER Report 2

DERIVATION Summary physical complalnt variables coded from theA schedule in May 1995 - the equivalent of variables 150-165from the B schedule

MISSING VALUES None

(FILTER5) None

&.

\.

* 118

VARIABLE NAME ~can$@d ~cns%rey~ear chd~G

%:$%:t%%%::;;j ‘“x

VARIABLE LABELS (See above )

TCAN CancersTEND Endocrine /metababolicTCNS Nervous systemTEYE Eye complaintsTEAR Ear complaintsTCHD Heart, vessels,circulationTRES RespiratoryTDIG DigestiveTGUS Genlto-urinaryTMUS MusculoskeletalTINF Infections, parasitesTBLO Blood disordersTSKI Skin complaintsTOTH Other complaintsTOLD Complalnt no longer presentTUEN Mental/oraganicTVIT To prevent complalntTDKNA NA, insufficient infoTNONMEN Has a NON-MENTAL complalnt

VALUE LABELS (0)not used (I)used

CREATED BY UP

CHAPTER Report 2

DERIVATION Overall summary phys:put together the A schedule var:schedule variables (nos 150-165

MISSING VALUES None

(FILTERS) None

cal complaint variables whichables CANX to DKNAX, and the B

See the program JOIN.prg

(.

119

I

( * qlainb .ariabl- frm msln fil.frm van U.-I ud am ●P ear did ma dig OIIS ma inf blo ski W

dbrtm m ,

● thismz -11 mlatmts varhbk (P++i-dby t)for●ll -withVal- o a-1

(

~wif (-1 m -1) -1~ *4if (ad.1 Or mdx.1) tad-l-- ~if (ens-lm amx.1)--1~wIf (Cyt-1a- oyml.1)tam-l~ -~If (oU-l m- -1) --1~ =m~if (Chd.1m ChdM.1)*-1~tru-oif (-1 or -.1) t-s-l-- tdig.oif (dig-l a- dlgn.1 ) rdi~-1

~ %W~{f <~el or -I) *S-I

~-ff (-1 m m-l) *S-1-ti tinfdif (id-l or ifil) tlnf-1~ tbla.oIf (bla-1 or blrn-1) tbla-1~ tskidif (skf.1 ~ ski-l) -ki-l~tOth-Iff (*l or Utk9.1) tc’thl

V- ~If (mm-l m -1) -1

-— —.—— -—— .__—. .-— —.. — . . . . ._.—

~ tiblu-oif (dkru-1 or dktun.1 ) tdk.a.lWta ~<f (rlcum”.1 m rmrnm.1 ) *-..1

VARIABLE NAMES IPPHYS IP14ENTIPBOTH

“j\\”+VARIABLE LABELS IPPHYS ‘Been m hosp for phys problem in past year>

IPUENT ‘Been m hosp for Meritproblem in past year?’

IPBOTH ‘Been m hosp for ment+phys problem In psst year’

VALUE LABBLS (0)no (I)yes

CREATED BY MP

CNAPTER Report 2 Chapter 4

DERIVATION COMpute lpMent=OCOMDUte iDDhYS=Ocombute ipk~h=OIf (bc4bOl=l or bc4b02=l or kc4b03=l or bc4b04=l) ipphys=lif (bc4bOl=2 or bc4b02.2 or )x4b03=2 or bc4b04=2) ipment=2if (bc4bOl.3 or tc4b02=3 or bc4b03=3 or ~4b04=3) ip~th=l

* see program makesys asf

MISSING VALUES None

(FILTERS) For use with those with a neurOtlc disOrder whO received the Bschedule

121

VARIABLE NAHSS OPPHYS OPMENT OPBOTH(V.ri.bias tn id.ntify .sa of cat~ticn- 1. past yMr, ●d ruaons)

VARIABLE LASSLS OPPHYS ‘Been OP for phys problem In past year?’OPMENT ‘Been OP for ment problem in past year?’OPBOTH ‘Been OP for ment+phys problem m pastyear?’

VALUE LASELS (0)no (1 )yes

CRSATEO BY UP

CNAPTER Report 2 Chapter 4

D~IVATION COmpute OpMent.Ocompute opphys=0compute optdh=O

If (bc6aOl=l or bc6a02.1 or bc6a03=l or tx6a04=l ) opment=lif (bc6aOl=tior bc6a02-* or bc6a03.*or kc6a04.W opphys=llf (bc6aOl=Vor &6a02=W or bc6a03=> or bc6a04=>) opboth=l

* see program makesys asf

NISSING VALUES None

(FILTERS) For use with those with a neurotic disorder who received the Bschedule

(

1 122

VARIASLS NA14S

VARIABLE LASBLS

w% pimjdsatphys, dsatment, dsatboth

dsatphys ‘dlssatwith physical consultation in last 2 wksdsatment ‘dlssatwith ment consultation In

last 2 wksdsatboth ‘dissatwith dual consul tat’

VALUE LASELS (0)no (l)yeS

CRSATED BY MP

CSAPTER Report 2 Chapter 4

DESIVATI@4 If informant had had a consultation for a physlcsl Illness inlast two weeks, and was dissatisfied with it, then dsatphys is set to 1Same applies to dsatment, and dsatboth. Relevant program 1s MAKESYS.ASF.

MISSINGVALUSSNone

‘ (FILTSRS)For use with thosewith a neuroticdisorderwho receivedthe Bschedule

(

123

HJa

o~+VMIM4.E ~ TOTVISIT

WSIAS.E LA2EISt.otvisit ‘Total -r of vfsits to mt~tirnts in ~st r’

vNJsEIJEasnOln

mxrsosfw

owS’SSR4mt2

ES2VAT2~ ~ tOtvislmsun(tcEcO1, be&02, t05@3, Lx%c04)

122SIW VALLSSNan

(FILTSIB)Ap@LeS to those receiving B schedule

N’1361

NW]

vlmAm2 m totlm

VAR2M-2 ~ totlm ‘totalla ●s In P.ti..tin pastyur’

VUUE MBEL3 rom

aw2Earu0rt2c4

KR2VA12~

~- ~lLu-sm(k4a01 , tc4a02, bc4a03, bc4aM)

(.

125

(

Variable name: HILOALC

Variable label: llght/heavy drinker

Value labels: 1 abstainer2 occasional3 light4 moderate5 fairly heavy6 heavy7 very heavy

Created by: Bal]lt

Derivation:

recode of DRATEGR that makes no allowance for the sexdifference.

DRATEGR HILOALC

lor8 12or9 23 or 10 34or 11 45 or 12 56 or 13 67 or 14 7-8-9 ::

Missing values: as-8-9

Filters: no proxys

for DRATEGR(missing alcohol consumption data)(does not apply)

(A9 = 1), no refusals (Bl ne 3)

(

1 126

523

Variable name: HILOALC2

Variable label. regular drinker ?

Value labels 1 abstalnfoccaslonal2 regular drinker

Created by: Bal]lt

Derivation:

recode hiloalc (1,2 = 1)(3 thru 7 = 2) (else = coPY)

Missing values: as for HILOALC AND DRATEGR-8 (missing alcohol consumption data)

-9 (does not apply)

Filters: no proxys (A9 = 1), no refusals (BI ne 3)

(.

(


Variable label: ALC OVER SENSIBLE MAX

Value labels: 1 abstalnfoccaslonal2 low–mod3 > sensible max

Created by: Bal]lt

Derivation:

le. code 3 if drinks more than 14/21 units a week:

recode hiloalc (1,2 = 1)(3 thru 4 = 2)(5 thru 7 = 3) (else =copy )

Missing values: as for HILOALC AND DRATEGR-8 (missing alcohol consumption data)-9 (does not apply)

Filters: no proxys (A9 = 1), no refusals (Bl ne 3)

1 128

37-5


Variable label: drinks heavily or very heavily

Value labels: 1 < sensible max2 f heavy/heavy3 very heavy

Created by: Baljit

Der~vation:

recode hlloalc (1 thru 4 = 1)(5,6 = 2)(7 = 3) (else = coPY)

Missing values: as for HILOALC AND DRATEGR-8 (missing alcohol consumption data)-9 (does not apply)

Fllters- no proxys (A9 = 1), no refusals (Bl ne 3)tends to be used only for regular drinkers(ie hiloalc2 = 2).

129

326

Variable name. HILOALC5

Variable label. alc consump 4 bands

Value labels: O abstainer (includes occasional)below sens max

; high3 f high4 V high

Created by: Baljit

Derivatlon-

recode hlloalccopy )

Mlsslng values:

1,2= o

as for-8 (ml

(3, 4= 1)(5= 2)(6=3)(7 = 4

HILOALC AND DRATEGRsing alcohol consumption data)

-9 (does not apply)

Filters. no proxys (A9 = 1), no refusals (BI ne 3)tends to be used only for regular drinkers(ie hlloalc2 = 2).

(

(else =

(.

, 130

327

Variable name: ALC1

Variable label: ABSTAINER/OCCASIONAL OR NOT

Value labels. O abstainer/v low1 low to high

Created by: Bal]it

Derivation:

recode hlloalc (1,2= 0)(3 thru 7 = 1)

Missing values: sysmls If hiloalc is missing

Filters. no proxys (A9 = 1), no refusals (Bl ne 3) - “

(.

131

Variable name: ALC4

Variable label: very heavy drinker or not

Value labels. O abstain to high1 V high

Created by: Bal]lt

Derivation:

recode hiloalc (1 thru 6 = 0)(7 = 1)

Missing values: sysmls If hiloalc IS mlsslng

Filters: no proxys (A9 . 1), no refusals (BI ne 3)

132

Flgtare3 SocialClassbaaedonOccupation Sal, w., MfmuwrdoSmcs the 1911 Census It hbr been customsty for cercam Malyucal purposes, 10 arrange chs largenurrikr of groups of w ca%upauonal cla.mticauun mto a small number of broad cccagorres calledSUCmlClasses It has recently been demded toextendche mle of the cla,wficauon to ‘S04 Clsss bhsedon occupauon” srsd change the nsme of Class U from %rtermedlate’ m ‘Managmal wsdTechmcsl”

I 1 Pmfeaslonal,em occupaumrs

n Msnagmai andTechrsicdOCCupauona

; m SkdledOccupanoru

(N) non-nsamcsl

(M) Icrmualti ‘+ IV ~;,;y:::c’m

r--, v

&- Wff..zd $rc&, ._ t.’ ~ “- > 1’

Theoccupmcongroups included m each of rlmseciscegoneshave been selected m such a way ss to bringtogerher, as far as pomble, psople wuh surular levels of occupahonsl skil [n gencml, aach occupatmngroup muslgnedasawholeraoneororhefsuuslCISSSmd no account IStaken of differences bscweenurdw!ducls m rhe same mcupccmn gcuup, for exsnsple. diffecmces m educanon However. forperaonshaving rhe employment SCSNSof foreman or manager the following addmonsl rules apply

(a) eachoccupation Mg]ven J bsmc sccml class,

(b) persons of foreman status whosebcscsows]elmsM IVorV m allocatedcoSod Class111

12

133

+

z-----S

...-.:,!

!-,.

— ----

—,/

. --

c.-’

. .

(-

-.s

.--—L

.?.,’.

., “,, . .

(

Flgurt 4- continued6 S ;$#C

(6I Juniorrsors-rrranrsalworkers

Q<c

Employees, not exemwng general planmng or supcmsnry powers, engtged us clmcal, saksand non-manual .mrsrrrumcaoosu oxupanons,excludsngUIOSCwhohavead&tIorralandfmssalsupwory llrrrcnons (these are urcludcd m grmrp 52)

—. --—--- .—----- --- ——

I~ (7) Personalaervlceworkers

Enrploycraerrgagedm -me occupatmmcmngforfeud,drinkclothurgandotherpxscadneeds

-.-—.....-.-.-W-. ————-——-—. .-.—. --- ———

l\ (8)Foremen and arrpervkm-s - manual

Employees (other than manager’s)who formally and mrmeckately supervrsc orlsers engaged mmanual nccuparroru, whether or not themselves engaged m such mcupanons

—,- . .. .. . . . ..... ---- “ ,.-...- ..L-,-------- - - - . ------- -. ------ . .- ---- -------- .-—---- -------

{ ~ (9) Skillednsmud vrorkem

Employees enga@ m manual nccupauoru which requrrc considerable and spemfic tills----- . . . --- ---- ------ --—

! :5 (IS)) ~;~:sk;l;~ ‘Manual ~Orkem

Employees engaged m manual cccupanons wh]ch requue shght but sFccitic skdls. . . . . . ..- ..- ------ ___

! ~“ ;ll) hs~lledminulworkcrs - “

Other employees engaged m manual nccupauons. . . .... -----.. .,..-.. -------- ------ -------- . .

I < (IZ) OWTIaccount workers (other than professional), -.

Self-employed persons engaged m any trade. personal $ervlce or mmualoccupation notnormally requmng rratmng of umversny degree srurdardandhavurg no employees odser thanfanrdy Worlcers

. ---- ---- .. -_ .._ . . . . ______ .. . . .. ..

\ ~t (13)Farmem-●mployers and managers

Pcrsnns who own, rent or manage farms. market gardens or forests. employmg ~ople orher rhanfanrdy workers m the work of the enterpnse

---= . ... . . .. . . . . . . . -. ------------- - - !, - ,-. .,. -. .. —--- - - ------- - -—-! / (14) Farmers - own account

Rrsons whoownormm fanms,mar’kctgardensorforesrs and having no employees orher USanfosrrllyWorkrs.

-.-?. -—.--- —----- -. —— ------ --- .-. —--— — - ---- - -- ---- .—— ----\ ~ (M) Agricultural workers

Persons engaged m tendurg crops. anurmls, game or forests. or opemung agnculrud or foresrrymachmcry

-. .- --- ....-?.. .- . -------- --- . . ... . —.. .-. ---- - - --— —-- -.. — —-..—-——

1~ (16) Membesa of~m~ ~-rc:.- - - . . . . . . .. . . . . . . . . -. - .‘ i -... .--_ .._.--— -.–- ... .

4

(17) Inadquateiy descrrbed and not srmed occupations

D&k

. .

,,

Figure4 %m.economicGroups

— —.

Claaslficauon by %cw-economic Groups wat mtmduced m 1951 and excenawely amended us 1% 1llse cl~lfication mms to bring together people with Job$ of SImlhr SOCISJand =OnO~c ~m~ ~allocaoon of uccupled persom to Socm-economic Grnupa M dcccrmmed by condermg tieremployment status and uccupahon (and mdusoy, though for practoal purposesno&recrreference Mmade since n N paslble m Great Bsrtam to use claaslficatlon by uccupauon as a meant ofdutmguuhmgeffecuvelychoseengagedussgncullssre)

llsesots-nomk Groupswithbrkfdeflnltlmaaarc

(1) Employers ●nd managers In central and local govemmen~ indust~, commerce, etc.large establiihmenta

1 1 Employem m mduscry, commeme, etcPersona who employ others usnon-agncultural ent~aes smploymg 25 or more persona

———.. . . —-—.. —-—---—-—. ---- .---—---- ---- ------ -- . -:- 12 Managem m central and lucal government. mdusoy, commerce, etc

-,, L Persons who gerremJly plan and superwse m non-agricultural entcrpnaes employmg 25 ormore persons

- . - .. —------ ------- -. --,.. — -- -----. .,-- .- .-. ..,---- - .-. .- . . .. . . . . . . . . . . - - --- ----- ---

(2) Employers andmanagers1ssindustry,commerce,etc.-smalleatablbhmenta

,e:< 21 Ernployemm industry, commerce, etc - small esrabhshmenca As m 11 but m estabhsh-

.2menta employmg fewer chcn TM~rsons

— ------------- -------- . . . ..- . . . ... .. ..- -- --- . . - --- -- ------- ..-- .. ..—-” .-.

:. / : 2 z Mmlgem ~ ,ndu~~, Commeme CIC - small esmbhshments As m 12 but mesubhshmenu.-

employmg fewer chm 25pm-sons—--— ---.--——. -.---—— ------ -----------,----....--------- ....-4.------.-,#.--n---...

~ (3) Professionalwork..s.self-employed-I .-J

Self-employed persons engaged m work normally requmng quchticauons of umvcmty degrseSmdal-d

—. —... ——--- .-., --. -.-x----- . .--. -.-e--.,.. .-.. . .. . . . ... - ..-., - “.-.. . .. . .. -. . . -, ~c (4) Profassiormlworkers-●mployees# 1

( Employeesengaged m work normally rquumg quahficauons of uruvemty degree standard.—--—_- —---.--.---.— -—---- ------ —.. — .—-. ----

.(5) Intermediate non-manual worker’s

7 “ Ancillary WOCkC1’Sand SIIMtS

3 Employees engaged m non-manual cmmpanorsa anclllaty su she ptufesslons, not nur-mclly rcqumng quahfications of umversuy degree standard. k=~ns ~Kag~ m ~ucwork and not employmg orhess rherem Self-employed nurses. medlcaJ auxdlmes,teachers. work study ersgmeeraand tcchmcmn.s wc uscluded

-- ——— ———-—- ,

? 51 Foremen and supwsors non-manualS

I Employees (other than macmgcrs)engaged m .xcupatmns urcluded m gruup 6. whoformally md ummedmtely supcrwsc ochcmengaged m such uccupauona

..- --. ., --- —- ---------- . . ..--, ,.I

.-,-- .,---- -... - ~.. - . .. .... . . . . ---,. . ..-/.. . . - .--.. . -- ...- ... . . .

1

I(. 13 .

135

(, To: Mlck Pardoe From:

Date:

copy :

Kerstin HindsSSD Room 410ext. 2457

7 March 1995

Baljit GillHoward MeltzerMargaret EstdaleMark Petticrew

N1361:Dvs for social class and socio-economic group

1. Attached are the revised specs for these 2 dvs. Please notethat the variable names and value labels have changed and needamending.

2. Although the specs are produced in full, you do not have tostart from the beginning in re-creating the dvs. All you nowneed to do is:

Sca. Rename SCINF to SCb. Assign missing values (currently some -8s and -9s) to codes

8 and 9 (see step 2 on the spec).

SEGa. Rename SEGINF to SEGb. Collapse the categories vla the recode specified at step 2

on the specc. Assign missing values (currently some -8s and some

-9s) to codes 9 and 10 (see step 3 on the spec).

When you re–supply the save file for 1361, please give us onlySC and SEG. We do not want SCINF and SEGINF.

I hope that this lS clear, if you have any queries, please letme know as soon as possible.

i

137

r

) ;- . .

‘t.

, J..

..- ..

? (.

.-,

/---

”- u

.--,. -

J,-

/“”“-

-/

,-

.

Appendix 9 Filters: Main exclusions from analysis In Reports1, 2 and 3

Report 1 Most analysls excluded proxiesTo select subject interviews only: A9 = 1

Reports 2 and 3

Most analyses excluded proxies, refusals (and

i

partial refusals to the B or C questionnaires\and for many cha ters psychotics were excluded:

Subzect mtervlews: A9 = 1Responders only . B1 ~m JNon–psychotics: DIAGN03 ne 1

(

139

vcu<&bLIb kl U-k_CIS-R score variables used.

SYMPTOMSAFLAPA TO AFLAPTOT -symptom score keyed from Check card,F. Order” section A. somaklc symptoms to N. Obsessions

SYMP1 TO SYMP14Symptom score recoded: code 1: score O-2 , code2: score 3or more

Overall scoreAFLAPTOT = overall score keyed from check cardFLAPTWO = summary – 2 bands (O-11,12+)FLAPFOUR = summary - 4 bands (0-5,6–11,12-17,18+)

DISORDERSPSYCHOTDEPPHOBOCDGADMADPANIC

F3200, F3201, F321O, F3211, F4000, F4001, F401, F402, F411, F412,F42

NOTE (sometimes we have used different varlbakle names Inprograms, here are their equivalents In ICD type variable names)

F3200 or F3201 = MILDDEP - mild depressionF321O or F3211 = MODDEP - moderate depressionF322 = SEVDEP - sever depressionF4000 or F4001 = AGORA – agoraphobiaF401 = SOCPHOB - social phobiaF402 = SPECPHOB - speclflc ~solated phobiaF41O = PANICF411 = GAD -F412 = MAD -F42 = OCD

Hierarchical

- panl~ disordergeneralised anxiety disordermixed anxiety and depressive disorder

diagnostic summaries

Psychosis trumps neurosis, neurotic disorders arrangedhierarchically.

DIAGNOS: 11 categories and ‘no disorder’ categoryDIAGN07: 7 categories and ‘no disorder’ categoryDIAGN03: Psychot~c, neurotic or ‘no disorder’

Number of neurotic disorders

See NUMBDIS, NUMBDIS2

. 140

CCWIENT ********** ****-m***—**u~***~**-~—*-~*~~ ***n.—**—.-— —“008**”**.m.wOOO

Cammt this file cruta ●ll diagnstic d- for rmumtic dimrdam—t it mn’birn with m-is ta fom tha hierarchy DIAGW7t

● paystut .1 . Pwchatic● f3290t W f3201t . ■+ldchpt● f3210t or f 3211 t . _pt● f322t . Apt● ■i lddapt or mddept or ndept. dept● f4WOt or f4Wlt . agoraphobia● f401t . sccial phcbil* f402t . Scuific fsolaud● f410t : &Dic● f411t● f412t - two● f42t -m

-nt in flight variablq M+, ta ba S--

-u dc~ril . 0cMwto deXri2 . 0ccaputo d*~ri3 - 0_ta ccanta . 0cmqute ccuntb . 0-m count-c . 0~ti critl . 0cmputi Crits - 0-t* cl-it3 - 0-W crit3b . 0-- Pbtcrit . 0_ta panicr{t . 0

-.t ICO OERIVEO VARIASLES TO SE SAVED

-ti f3200t . 0qta f3201t - 0-to f3210t - 0ccqwta f3211t . 0-- f322t . 0V- f4Mot . 0vti f4Mlt - 0eavJt4 f401t . 0-ta f402t . 0cawti f402bt . 0-to f410t . 0-to f411t . 0-ti f412t . 0vt* f42t - 0aaouta d<agnmt . 0amwta d~aom7t . 0ca’+)uti phabt . 0T- awmt.o

(XIHNT ● —-**********e--********-m****””******

ccmnsnt CCWIJTIffi TNE 0EPRES31CN 0v3 - starting with ccmcanants

CUUENT *-**-******-******n***********.*****..”.********

141

-fit ~tina OEPXI1 DEPCR12 0EPCR13

if (aglo ~e 2) *peril . 1if (aolb . 1 or ●ol . 1) d0Fcri2 . 1if (ml - 1) d.pcr!3 . 1

doif(q4- lmdW6. landag7 .1)

~ticcunta-cwnta+l.d 1*do4i”(a@ .landag6-land W7 -1)::muti-c0unt4+l

&i fablos92~~counta. aunta+l

-nt -titq CWt7B

do If (a g- 2)-u muntb . ccuntb + 1cd ifdo if (ah5 . 1)ccnwuti ccuntb . ccantb + 1●d ifdolf(aM -1)

-b camtb . cumtb + 1●nd iftiif(.hs .1).—.-- ccantb . kntb + 1●d {fdo-if” ( ●h9 . 1)CC=Wta countb . ccuntb + 1●d Ifdoif (ufl19e2)-b CCuntb . cmntb + 1●d ifdo if ( alS. 1)-PI- ccuntb - antb + 1d if

-nt Ccwat i W CuN7c

do If ●g5 . 1W- W- - c.ante + 1●d ifdoif~9.1

-ta ccu.tc . countc + 1●nd {fdoif(ad7- lamjad3 .1)Vta countc . ccuntc + 1Wbd ifdo if (ah2 - 2)~~ cc+mtc . cauntc + 1

do if (ahl .1)VU W.* . ccuntc + 1and ifdnifale.1-Pub cou.tc - cumr.c + 1●nd if&a if ●19b . 1-w- anti . CuJntc + 1m-d $fdo if .h3a . 1W- c.nmtc . aamtc + 1Wd ifdo If ah3b . 1-ti ccuntc . c.amtc + 1d if

CCfHENT ~..u* . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

co?mmt PW71ffi THE 0EPRESSI@4 OVS T@ETHER F~ Cfl$WENTS

Cn’fw7 ————— -“.*”.*...*”-

(

IF (A-ril - 1 and rmoe(aunti,2,3) ●rd raq*(auntb,2,3) ●rd ~Pcri2 . 1ad raw(amnti, O, 3) ) f3200t . 1

IF (da~ril - 1 ●nd rar#c(cc.mta, 2, 3) ●nd rango(ccuntb, 2, 3) ●d d*pcrf2 - 1and rangc(auntc,4,9) ) f3201t . 1

IF (Apcrll - 1 ad ramLm(aunta,2,3) and raw(mmtb,4,7) h d0Pcri3 . 1●ld ran3.s(auntc, o,3) ) fzzlot - 1

IF (~il - 1 d -rrka - 2 ad rmw4(cc4mtb,4.7) ●d dePi3 - 1●nd rm(cwllt.%4,9) ) f3211t - 1

IF ( munta - 3 and rarqa(cc+mtb,4,7) ad dwcri3 - 1and rMW(caJntc,4,9) ) f322t . 1

if (f3200t - 1 Or f3201t - 1) ●ilticpt . 1If (f3210t - 1 m- f3211t . 1) md@-t . 11f(f322t .1) BWi.8pt.1if (.ilddapt - 1 or dd*pt - 1 w uwd*pt . 1) d.pt - 1

m#2N7 -*—-**-*-—-—-

— =awut’ima ●ll*IA3 - f4m tof402

ccWENl——..-***—*”**—

if (ak3 - 1) critl - 1if (ak3 - 3) cr1t2 - 1if ( ●k3 - 2 or rmpe(ak3,4,5) ) crit3 . 1if ( .k3 . 2 or rano.(ak3,4,6) ) crit3b . 1

tf (ml . 1 ●d (ak7 . 1 or ak7 - 2) ●nd ●k9 m 2) PhOb=.it . 1

if (cM O* 2) panicrit . 1

if ( critl . 1 ●nd phobcrit. 1 and panicrit . O) f4000t - 1if ( crttl . 1 and plmk.it. 1●d mnicrit - 1) f4Wlt - 1ff(crit2. 1alBd*tcrit.1 )f401t.1if(crit3. 1adp410tcr1t.1 )f4Wt.1

if (f4000t . 1 or f~lt . 1 or f401t .1 or f402t . 1) ptubt . 1

if (fmot.1 or fwlt.1 ) ~rat.1

at?m7 — .“**-.-—-”.”*.***-*.*.**-*

-nt UxQuti w PM61C - f410

af?12N7 ——***-*****—-—-*---*”””*

if ( ( ●k9 . 0 or ak9 . 1 or .al(lk9) . -6 or val(ak9) . -9)●d ra*(a12 ,1,2) ●nd ●15 . 1 ●nd ●la 9s 2) f410t . 1

-Ot ~tho G40 - f411, OIOao - f42

C4M42NT --— ● .*.”*”**..*--*******n*******—

If ( ram3.(ajll ,3,5) ●rd ( raw.(aj6 ,1,2) or rar@aj7,1 ,2) )●nd ●j9 - 1 ●d ●j12 Q. 2 ) f411t . 1

I\. 143

(

(

if((*g* 20ran8g*2) and (mA.lOr .n5. l)atiaOl .1●nd (M9 . 4 or ●n9 . 4 or sIJm(M9, an9) g. 6 )) f42t . 1

ca’n9nt at last stag. ~ want to UCId. ps~ics fraa ●ll diagnmm

Cl?f$wT ----**--*-——***-*****—**-**

do if (~#wt - 1)ccm@utaf32wt. ocavuta f3201t . 0-ti f2+?lot - 0

-- f2211t ■ o~ta f322t . 0cqnltafACOot. o~ f4mlt .0~ fAolt .0

~ f402t .0qta fAo2bt . 0~ f410t .0~ f411t .0~ f412t . 0~fA2t. ovt, dwk. o-U WOrat-o●nd if

CC4WElil ‘*—*—***—**.—*-*.***—

aannt ~lffi 01AGW5E HIERAROff

CQt@fT --—M****-M*********”—****.””—*

wts diagnost-Odo ff ([email protected] )~ diwnnst.1●lsa if (f322t.1 )camwta dia9nmt.2●lu if (Rdtipt.1 )N- dlwnmt.3●1U if (f410t.1 )_ta diagmst-4●lu If (f42t.1 )cc+wuta diqmst=5SIM if (ml lddsx.1 )COW.Ita d(agmst.6●1U if (f401t.1)-b d~agnmt.?●ISC !f (agerat.1 )W- d i wnnt-891- if (f411t.1 )~ti diqmnt.9●lse if (f402t.1 )_ta dlwnmt-10●ha if (flautWa.2)Qt* diawwat.118d If

CUUENT -—*-*****—.****.**—* . . ...**

_nt cmat ing )L40

CmWT -—-******* -*********..*.*****..****”*********

if (dia~nost.11 ) f412t . 1

0n4ENT ● -**-=***--***-”-..”***”**—”--

WUENT uakfng ths rmin 7 ca~w-y dv 01A@137t

Cll?tENT ******-**-**—********-* —**—*.-

-. di.gnc.st (0.0) (l-1) (11.2) (9.3) (2,3,6.4) (7,8, 10.5) (=6) (4.7) ffi~diagna7t ,)

(~mu ,“, JJ+ ~F:’

-~ ***** —“...-..””-...”-.—.””.

bmmt variable ●nd .alua labls

mm =——--*-.*

V., 1*1 Sf3200t ‘mi ldep w/o -w, /f3201t ,mil~p with scuw, /fzzlot ,&p “/0 in’rsp,lf3211t ,udd8p with ~p,lf322t ,Unl-a &pru’lul. /.ildd.~ ,,mild daPrasicm, /mddapt “mcd*rmta d,pru,ioll , If40Wt ,agmm .10 panic, ff4Mlt ,agc?a with pmicS/f401t ‘scclal ~bia, /f402t ,scuific (i,ol) phabia-/f410t ‘WIIIC disord.rvff411t ‘qotnmlind ●rui.ty d+8c.rd.rS/f412t ,.fxd ●nxiety/d.pr-egsl~ dfsm.d.r-/f42t ,0bS”Sfb8 ~l,iva dqsord.rS/di~nmt ,ll-utag. hi.rarch d+s.m-d.r,/d4agm7t ,disord*m 7 hl.vareh, fpkbt , ●ny phobf., /Worst , ●y ●gorapivbi a,

valus labls diagr.a7t O ‘no dis S 1 ,Ps@at, 2 ,R40S 3 %40- 4 ,Osp, S ,PFcb,6 W20, 7 ,PanicS/

diagnost O ‘I& dismd ‘1 ‘Psyclwtlc, 2 ,- dap ●p. 3 “f?cd d-p ●p,4 ‘panic, S ‘NO, 6 ‘mild d.p .pS1 ‘social phob, 8 ‘4goraphobS 9 ,~D,10 ‘SW 1S0 PhobS 11 ‘MO, /

f3200t to f42t phabt agc,rat O Smat ptvsa.t, 1 sprnmnt 8I

smm atfila . ‘n1361,nIy afii/drop . dopcril to pmlcrit/mp

145

.J..-

..

..

.

rss$rs

JJ

---

..

..

.

A’pp-d&Long-standing

Key variables

Presence of a

Ephysical illness:

used m analysls:

Dh~slcal illness: TNONM33NPresence of otiie; types of complamt : CAN, END , CNS, EYE,

EAR , CHD, RES, DIG,GUS, MUS, INF , BLO ,SKI, OTH

Information was collected at quest~on 11, schedule A or, forproxys, question Q2 of schedule A. Each complalnt was g~ven a 3d~glt code (see coding frame attached), and the complaints werethen grouped into categories of physical illness.

However the complamts data 1s found m various variablesdepending on how lt was recorded:

A For informants who screened poslt~ve for psychosis orscored 12 or more on the CIS-R, detailed questions on theircomplaints were asked m Schedule B, section A and thesewere coded mto the var~ables BAIAO1 to BA1A08.

B For other informants who dld not get asked Schedule B, wewent back to the verbatim answers m Schedule A and wecoded and keyed the complamts mto the variables:

A1lAO1 TO A14A09 - for subject interviewsAQ2A01 TO AQ2A06 - for proxy Interviews

Complaints were then grouped mto broad categories of Illness.For group A above, we created the derived variables CAN to NONMENand the program 1s attached. A S.lmllar process was carried outfor,group B, to create the derived variables CANX to NONUSNX.

Finally, the two groups were put together and we created the DVSTCAN to TNONMEN which show the Rhysical comPlalnt 9rouP for allinformants.

147

GOD ING FRAME FOR LONGSTANDING ILLNESS

CQmDlalnt

010

011

012

013

020

030

031

Ca ricer {neoD lasm) lncludlna lU DS , masses, tumours andarowths and benlan (non-mallanan~) lumm and cvsts

acoustic neuromaNeuroflbromatoslshereditary cancerCancers sited In any part of the body or system eglung cancer, breast cancer, stomach cancer, skin cancer,bone cancerAll tumours, growths, masses, lumps and cysts whethermallgnant or benign eg growth in bowel,growth on spinal cord, lump In breast,cyst on eye, cyst on kidneyWllms tdmourrodent ulcerssarcomas, carcinomas

leukaemla (cancer of the blood)Hodgkin s disease, Lymphoma

Tumour of the bra~n

mastectomy (nes)hysterectomy for cancer of the wombcolostor~ caused by cancerpart of intestines removed (cancer)after affect of cancer (nes)

E@ocrl nelnut rltlonal/metabol lC diseases and Lmmunltv

orderq

Diabetes -

lncl Hi’perglycaemla

hormone deflclency, deficiency of growth hormone,dwarfism.Beckwlth - Wledemann syndrome,Gilbert’s syndrome, gout,Coellac disease, water/fluld retention,phenylketonurla, hypopotassemla, lack of potassiumCystic flbrosls, hypercalcemla,Rickets,Malacla,Wilson’s disease,Myxoedema (n e s)

Underactlveloveractlve thyroid, goltre

~ Thyrcid trouble and tiredness - code 031 onlYOveractive thyroid and swelllng in neck - code 031only

Addison s disease, Cusr.lng’s sYnir~me

Eve complaln~

090 Cataract/poor eyesight/bllndness -

lncl operation for cataracts, now need glasses

bad eyesight/nearly bllnd because of cataractshardening of lenslens Implants in both eyesbad eyesight, restricted vlslon, partially sightedshort sighted, long sighted, myopiatrouble with eyes (nes), eyes not good (nes)bllnd in one eye, loss of one eyebllndness caused by diabetesdetached/scarred retinatunnel vlslonblurred vlslon

100 Other eye complaints -

lncl glaucomabuphthalmosIrltlsretlnltls plgmentosanight bllndnessastigmatismdouble vlsloncolour bllndsqulntr lazy eyescarred cornea, corneal ulcershaemorrnage behind eyedry eye syndrome, trouble with tear ducts, watery eyeseyes are llght sensltlveInJury :0 eyeeye lnfectlon, con]unctlvltlsSty on ~yefloater on eye

149

Com91alnts of heart, blood vessels and clrculatorv S’fstern

150 Stroke/cerebral haemOrrhage/cerebral thrombosis -

lncl stroke vlctlm - partially paralysed and speechdlfflc~lty, hemlplegla, apoplexy, cerebral embollsm,cerebro - vascular accident

160 Heart attack/angina -lncl coronary thrombosis, myocardlal infarction

170 Hypertension/high blood pressure/blood pressure (neS)

180 Other heart problems -lncl heart disease, heart complalntcardiac problems, heart trouble (nes)weak heart because of rheumatic fever

hole In the heart

valvular heart disease

Wolff-Parkinson-White syndrome

Aortlc stenosis, aorta replacement

pacemaker Implant

perlcardltls

Ischaemlc heart disease

mitral stenosis

cardiac dlffusloncardiac asthmaheart murmur, palpltat~ons

tachycardla, sick sinus sy~drome

hardening of the arteries in hearttired heartpains In the chest (nes)dlzzlness, glddlness, balance problems (nes)too much cholesterol in bloodheart failureSt Vltus danceenlarged heartatrlal flbrllatlonventricular flbrllatlonhigh cholesterolpalpitations

NB Balance problems due to ear complalnt = code 130

190 Piles/haemorrholds lncl Varicose Veins In anus

200 Varicose veins/phlebltls in lower extremities -lncl varicose ulcers, varicose eczema

150

co Dlam ]nts of resD1.atorv. svstem

220 Bronchitis/emphysemalncl tchronlc bronchltls, bronchlectasls

230 Asthma -lncl bronchla asthma, allerglc asthmaasthma - allergy to house dust/grass/cat fur

NB Exclude cardiac asthma - code 180

240 Hayfever –lncl allerglc rhlnltls

250 Other respiratory complaints -lncl. bronchial trouble, chest trouble (nes)

bad chest (nes), weak chest - wheezybreathlessness

pnemoconlos~s, bysslnosls, asbestosls and otheru’idustrlal, respiratory diseases, pigeon fancier’s lung

lung complalnt (nes), lung problems (nes)damaged lung (nes), lost lower lobe of left lunglung damage by viral pneumoniaflbros~s of lungulcer on lung, fluld on lungfurred Jp airways, collapsed lung

chest ~nfectlons, get a lot of coldsrecurrent pleurisysinus :rouble, S.lnuslclsr!IlnlLls (nes)

catarrh,

adenoid problems, nasal polypssore throat, pharynglt~sthroat trouble (nes), throat lrrltatlonthroat Lnfectlontonslliltlsabscess on larynxcoughing fitsallergy to dust/cat furparalys.s of vocal cordsCroup

u TB (pulmonary tuberculosis) - 370Cystic flbrosls - code 030Skin allergy - code 390Food allergy - code 270Allergy (nes) - code 410Pllonldal sinus - code 390Sick sinus syndrome - code 180Whooping cough - code 370

If complalnt IS breathlessness wltn the cause alsostated, code che cause

eg brainlessness as a resul: of anaemla (code 380)brea’nlessness due to hole in hea=t (code ’80)breathlessness due co arglna (code 160)

151

complalnts of ae nlto-urlnarv svste m

300 Kidney complaints -lncl kidney trouble, tube damage, stone In the kidneynephrltls, pyelonephrltlschronic renal failureuraemlarenal TBhorseshoe kidney, cystic kidneyonly one kidney,double kidney on right side

310 Urinary tract lnfectlon -

lncl Cystltls, urine InfectIon

320 Other bladder problems/incontinence -

lncl. bladder restrictionbed wetting, enureslswater trouble (nes)

NB prostate trouble - code 330

330 Reproductive system disorders -

lncl endometrloslsprolapsed wombprolapsed (nes) lf femalevaglnltls, vulvltls, dysmenorrheagynaecologlcal problemsmenopa~se

hysterectomy (nes)period problems, floodlng, premenstrual tensionabscess on breast, mastltls, cracked nippledamaged testiclesprostate gland troubleimpotence, lnfertllltyTurner’s syndromepelvlc inflammatory disease (female)

(.-

152

360 Other problems of bones/]olnts/muSCleS -

ln~l osteomyelitisbr.ttle bones, oste.oporoslsPierre Robin syndromePaget’s diseasePerthe’s diseaseSchlatter’s diseaseSever’s diseasedislocations eg dislocation of hip, cllcky hlpldislocated knee/fingerfracture, damage or ln]ury to extremltles, ribs,collarbone, pelvls, skull,hold left arm out flat - broke It as a child,broken nose. deviated septum. .absence or loss of llmb eg lost leg In war,finger amputated, born without armsdeformity of llmbs eg CIUC foot, clawhand,malformed jawwalk with a llmp as a result of Polio, PO11O (nes),after affects of pollo (nes)Systematic sclerosls, myotonla (nes)disseminated lupushlp replacement (nes)hlp InfectIon, TB hlptorn muscle in leg, torn llgaments, tendlnltlsbad shoulder, bad leg, collapsed knee caP,knee cap removedcartilage proolemsfrozen shoulderaching arm, stiff arm, sore arm musclestrained leg muscles, pain in thigh musclesstiff ]olnts, ]olnc pains, contraction of sinews,muscle wastageDupuytren’s contractionbursltls, housemaid’s knee, tennis elbow,delayed heallng of bones or badly set fracturesweak legs, legs trouble, pain in le9slegs won’t go, difficulty In walklngcramp In handphysically handicapped (nes)flat feet, bunionschondrodystrophlatenosynovltlsconoralatla patela

NB Muscular dystrophy - code 080

153

400

401

402

403

410

411

412

420

9t her complaln~

Sleepwalking

falntlngadhesionshair fall~ng out, alopeclatravel sicknessnose bleedsno sense of smelldumb, no speech

NB Deaf and dumb - code 110 only

Insomnia (Include sleep problems)

Morning sweats, shakes or sickness caused by alcohol

Nocturndl sweats caused by alcohol

ynclas slflable (no other codable complalnt)

lncl. old age/weak with old agegeneral lnflrmltyallergy (nes), allerglc reaction to some drugs (nes)war wound (nes), road accident ln]ury (nes)weight loss (nes)after affects of menlngltls (nes)had menlngltls - left me susceptible to do other‘Lliings !nes)electrical treatment on cheek (nes)swollen glands (nes)embarrassing Itch (nes)glass In head - too near temple to be removed (nes)

t>redness (nes), tiredness due to pregnancy, lethargy

Generally run down (nes)

co olalm nt no 10naer Drese nt

nes )

NB Only use this code If It IS actua llv stat ed that thecomplalnt no longer affects the Informant

Exclude If complalnt kept under control bymedication - code to sltelsystem

(

(

99t f i 19 nl 361 fMyv2 %fl ldrq P8y- eld v+t f402bt h.p mddqgadplus to panplu,

match fil” /f<l. ● /fil. *95 ,ys /by ca”nasight by finalwt

-b -101-0if my(O12, Ml.Ol, bbla02, Mla03, bblaM, &l.05, MlaM, M1.O7,

Ml@& bbl~9, bblalO, bblall)~ 101-1wta c0d8199-oif any(O13, bblaOl, bb1a02, Ml.03, bbl.M, bbla05, bblaM, bblaO7,

Ml@, bblfl, MlalO, Mlt11)~19%lb _ta m#*W.O

ff ((cOdml Ol q 1) or (-199 q l))a.~isys.l

mti mo2.oif any(Ml, Ml ●Ol, bbl .02, bbl .03, bbla04, bbl .05, bbla06, bbl .07,

bbla@, bbla09, bblalO, M1all)ccdd02.1~ CCd9204-oif w@02, bblaOl, bbl a02, bbl .03, bbla04, bbl .05, bbla06, bbl .07,

MlaC9. tbla09, bblalO, bblall ) or

●V(m3, Ml aol, bbl a02. bbl ●03, bbld34. bbla05, bbla05, bbl.07,bblaLM, bbla09, bblalO, bblall ) c&&O&l

-- -S-Oif any(O04, bblaol, bbla02, bbl .03, bbl.04, bbl .05, bbla~, bbl.07,

Mla@, Mla@, MlalO, bblsll ) or●Iy(M5, bblaOl, bbl a02, bbl ●03, bbla04, bbla05, bbl a06, bb1a07,

bMa06, bbla09, bblalO, b61a11 ) or●ny(~. bblaOl. bbla02. bbl ●03. bbl .04. bbla05, bbl ●6, bbla07,.

bbla02j bbl ●091 bbl ●lO~ bbl.1 1 j CCda2b5.1wta ad02m.oif .ny(O07, bbl .01, bbla02, bb1a03, bbl .04, bbla05, bbl .06, bbl .07,

&law, mlao9, &lalo, ula11)dm.1-b Mddm-oif .ny(~, tilaOl, bbl.02, Ml.03, bblaM, Mla05, bblaM, bblaO7,

bbl@6, bbla09, bblalO, bblall)cod@M-1wta W09.Otf any(OlO,MlaOl,bblm02,bblm03,bblaW,bb1a05,~laW, *laO7,

bbla02, bbla09, bbl.lO, bblall)ada309.lca@uta c0d9212.oif an.(M9. bblaOl. Mla02. bbla03. bbld34. bbl ●05. bbla06. bbl ●07.-..

bbla139: tMaOiibblalO: bb1all jcod.21Z.1-* .ndm299.o-—–—if ●nY(Ol 1, bblaoi, bbl .02, bbla03, bbla04, bbl.05, M1.M, bbla07,

bblaQbhlao9, bbl.lo, bbl.ll)ccd&99.1wta ●lwys.otf ((cuds202q 1) or (ccde204aq 1) or (ad9206 q 1)c-(-06~ l)0r(c0dd09m l)0r(~12q 1)

cawta ●ny-uya.Oif ●ny(014, bb1aOl ,tbla02, bbl.03, bbla04, bbla05, bbla06, bbla07,

bblaOE, bbl ●9, bbl ●lO, bbl ●l 1 ) ●nytiya.1

-ti Ccde411-oif ●ny(411 ,bblaOl, bbl.02, bbla03, bbla04, ti1a05, bbla06, bb1aO7,

Mla06, bbla09, bblalO, Mlall)~11.1Z* C0d041 2.0if ●ny(412, bblaOl, bbl a02, bbl ●03, bbl a04, bbl ●05, bbl ●~, bbl ●07,

bbla06, bbla09, bblalO, bblall)ado412-1CapJtc a&413-oif ●ny(413, bbl .01, bbl .02, bbl .03, bbl .M, bbl .05, bbl .06, bbl .07,

bblaQ6, bbla09, bblalO, thlall)ad@13-1mta Cc4401.oif (ccdo411.1 ) Or (c0d+4T2.1 ) or (md413.1 )cd401-1

155

C.R$uta COddzl -oif ●ny(421 , bblaol , bbl a02, tbla03, bbl a04, bb1a05, Ml ●M, bbla07,

t4Jla~, bblab%bbl slO, bblall)ti21.1V- =40422-0if ●ny(422, bblaOl, bbla02, bbl .03, bbl .M, bbl 105, bbl ●M, bbla07,

bbla~, bbl a09, bblal O, bbl al 1 )c0d0422.1-to w&423-oif ●ny(423, bblaOl ,bbla02, Mla03, bblaOS, bbla05, MlaC4, Mla07,

Ml#15, bblw39,Mla10,b blall)~23.1-- ad9402-oif (-1.1) m (ccd0422.1) or (ti22-1)cc4a402.1

~ cda431 .0if any(431, bbl~l, Mla02, M1a03, bbla04, &lab5, bblaM, bblaO7,

bbla!bblao9, bblalo, bb1111s31.1~ -32-Oif any(432, MlaOl, Ml a02, Ml .03, bbl.M, bbl m05, MlaM, bbla07,

b41~, bblaO%bblalO, bblall)C0d@~-1w- -33-0i f ●ny(433, bblaol , bbl.02, bblao3, bblao% t41a05, bbl ●M, Ml 107,

b41am, bblao9, bblalO, Mlall)ccda433.1~ ccda434.o

hif my(434, Mlaol , bb1a02, bb1a03, bblaM, bbla05, bbl wM. bbl ●07,

bbl •~, bbl a09, bbl ●l O, bbl ●l 1 )ado434-1-a ccd8403.oif (Ca2da431.1) or (ad0432.1 ) or (-33.1)

or (ccda434.1 )addoZ-1

(wts m6M40.oif any(440, tblaol, Mla02, bbla03, bbllM, bb1a05, bbl ●06, bbla07,

bblaO&bbla09, bblalO, bblall)codd40-1Ca?#uts addo4.oif (cd440.1).xda404.l

-t, ccda451 .0ff .ny(451, bMaOl, Mla02, bbla03, bbla04, bbla05, bbl ●C% bbl a07,

bbla06, bblm29,bblalO,b blall)wdD451-1-- m&452.oif any(452, MlaOl, Ml ●02, bbla03, bbla04, bbl .05, bbla06, bbla07,

bb~l$ bbla09, bblal O, bblal 1 )ccdo462-1

if (cda451-1 ) or (cDdo452.1 )cc&405-1

-* ad9460.oif ●ny(440, bblaOl, bbl 102, bbl ●03, bbl ●04, bbl ●05, bbl ●06, bbla07,

bblw39, bbla09, Ml ●lO, bbl ●l 1)codc460.1-b Cad04c6-oif (~.1 )cda4a6.1

-b ad9471.oif my(471, bbl ●Ol, bbl a02, bbl a03, bbl ●04, bbla05, bbl ●06, bbl a07,

bblaoe, bblao9, bblalo, bblall)c0dc471.1caPI* -72-Oif ●ny(472, bblaOl ,bbla02, M1a03, bblaM, bbla05, bblao6. bb1a07,

bbl*, bblaM, bblalO, bblall)ti72.1~ -72-0if ●ny(473, bblaOl, bbla02, bbl ●03, bbl IM, bbl105, bbl ●6, Ml ao7,

bbl~, bbla09, bbl alO, bbl ●l 1)M60473-1-ta c0d8474-oIf any(474, bblaOl ,Mla02. Mla03, bblaM, bbla05, MlaM, Mla07,

bbl_, bbla@, bblalO, bblall)*7&l-* addol-oif (ccda471.1 ) w (ccda472.1 ) or (-73-1)

w (cGaM474.1 )0ad8407.1

-b Caddal.0if ●ny(461 ,Mlaol ,bbla02, bbla03, MlaM, bbla05, bbl.M, bb1a07,

*lfi, Mlam, Mlalo, Mlall)~l.1-ta ~-o .if any(482, bblaOl, bbla02, bbla03, bbla04, bbla05, bbla26. bblaO7.

bblaOE, bbla09, bblalO. M1all)md0f82-l-a CC&4&3-oif any(443, bblaOl, bbla02, bbl.03, bblaM, khl.05, bbla~, tilaO7,

bblao6, bbla09, bblalO, bblall)~l-- a&409-oif (Cah461.1 ) w (Cc4482.1 ) or (ada483.1 )Ccd#l%l

csa$uta cc&491 -oif ●.y(491 ,MlaOl, bbls02, bbl.03, bbl.04, bbl.05, bbla06, bblaO7,

b41a02, bblao9, Mlalo, bbl.1l)c0da491.1wu md8492.oif ●.y(492, b41aOl, bbla02, bbl .03, bbl.04, b41a05, bbl.06, bbl .07,

bblaC9, bbla09, bblalO, bblall)~92.1-ti wd8493.otf ●ny(493,bbl&ol , bblaoz, bblao3, bblao4, bblaos, bblaos, bbl*07,

Mlw, b41a09, bblalO, bblall)~9*l-ti ccd940Wif (c0da491.1 ) or (ad,492.1 ) or (ccda493.1 )cd0409-1

W* W&41 0.0if any(499, bblaol, bbl .02, bbl .03, bbl .04, bbla05, M1aM, bbl a07,

bbl-, Mla09, bbla10. bbl al 1 )cod410.1

-- Uwa=b--oif raqa (bb1431,410,499) m- ,arqa (M1U32,41O,499) Or

r- (mlm,410,499) 0. raqa (bb1ti,410,499) 0.ram (bbl@S,410 ,499) or rmqe (M1. 04,410 ,499) 0.rmm (bblbo7,410,499) or raw (mlac9,410.499) or-m (*1-,41 O,499) or raw (bbialo,410,499) or

m*MW (bblall ,410,499) ●nycrm~.1

-ta -501.0if any(02b, bblaOl, bbla02, bbla03, bbl.06, bb1a05, bblaC4, bblaO7,

bblaM, bbla09, bblalO, bbla11)caJsW1.1( ~ *599-O

if ●y(021 , bblabl , bbla02, bb1a03, &lm34, Ml*OS, b41a06, bb1a07,bbl@39. bbl 109, bblal O, bblal 1 )ccda599.1

-- ●.Y$ nfdif ((codaSol q 1) or (ads599 q 1))anyinfu.1

-* md9501.oif any(022, bblaol , bbl ●02, bbla03, bbla04, Mla05, bbla06, bbla07,

bbl@, bb1a09, bbl.lO. bblall)a4601-1camltc wdc602-oif any(023, bblaOl, bbla02, bbla03, bblaM, bbl ●05, bbla06, bbla07,

bbla~. bbl 109. bblal O. bblal 1 ld0602-1-* cca6b3.i’if any(024, bblaOl , bbla02. bbla03. bbla06. bbla05, bb1w35, bbl ●07,

bbl@, bb1a09, bblalO, bbla11)cod.602-1-u ~oif py(037, MlaOl ,bbla02, bbla03, bbla04, bbla05, bbla26, bbla07,

tila2%t4.1w39,b bla10,bblall ) orany(038, MlaOl, bb1a02, bbla03, bbl .04, bbla05, bbl @5, bbl ●07,

bbl~, Mlao9, bblalO, bblall) or●ny(039, tblabl , bbl ●02, M1a03, bbla06, bbl 105, bblw%, M1a07,

b41fi. bbl.09. bblalO. bblall ) ccdo5M.1

(

-U ad8699.oif any(026, bblaOl, bbla02, Mla03, bbla04, bb1a05, bblaM, bblaO7,

bMM19, Ml@9,bb1a10,bblall )ccdti3-1-W ●lyan&L-oif ((addol eq l)0r(md&J32q l) Or(-3q 1)or(~q l)0r(cad499.q 1)) .n~l

~ -702.0If my(O~, Mltil, Mla~, bbla03, M1aM, Mld5, MlaM, Mla07,

b41aM, bbla09, bblalO, bblall )*702.1-* a&703.o!f anv(MO. bbl@l. Mla02. bbla03, bblaM. bblaOS. bblaM. bblaO7,. .

bbl=:bbl @9:bbla10,Mlall j orany(Ml, MlaOl, bbla02, bblt03, bblaM, bbla05, bbl@6, bbla O7,

tMa29, bbl#39, bbla10,bblall) ccd0703-1~ ●nmusfl.Oif ((ccdd02 q 1) or (ccd*703 q 1))anyg.sys.l

W- m-l 19-Oif any(029,1WaOl, bbla02, bbla03, bb4aM, t41a05, tblaC6, bblaO7,

bbl@9,tbla09, bblalO, bblall)m~lig.1

-- CC44J1=0if ●ny(030, MlaOl ,bbla02, bbla03, bbla04, bbla05, bb1a06, bb1a07,

bttl@,bbla09, bblalO, bblall) orany(031, MlaOl, bbla02, bbla03, bblaM, Mlti5, bblaM, bblaO7,

bblw39,bbla09.b blalO,bblall ) ccd+601.1

. 157

if ●ny(02S, bbl.01, bbla02, bbl.03, bbl.M, bbla05, bblalM, Mla07,bblaOB, bbla09, bblalO, bblall)0d@99-1

wto ●n~tbl.0if ((ceda901 q 1 ) or (-999 q l))anymmbl.1

-- w-woif .ny(O15, MlaOl, Ml.02, &l.03, bblaM, Mla05, Ml.M, hlaO7,

bbl-, bbla09, bblalO, Mlall) orany(033, M1.01, bbl .02, bbla03, bbl a04, bbl .05, bbl .06, bbla07,

k41aO&Ml@%bbla10, bblall ) •n~s~.1

-* My=kins-dif my(035, bbltil, bbla02, tMa03, bbla04, bblad5, bplaM, bblaO7,

M!l@X, Mla09, bblalO, bblall)mInkins-1

(

158

var labls ud,l Ol !.ntutd 1 ulcer dru4s’/&199 ‘Othm- gastrO-4nta8t1nal ~/

•~<~p ‘any Oastrc-intmtintl’ /md9202 ‘diurwtia’l*O4 ‘ bctabl~k.m ‘ IMS ‘antih~nst~ dqs@/~ ‘ nitrati ~ Ca-chmml bl~km 1Ictd&?C9 ‘antianful.nnts ~ ~i~’1md8209 ‘mtiplatilat d?ugs’1md8212 ‘lipid lmr$q drwgs’1-9 ‘Otk, CVS dregs ‘ /

●mw ;any ardto-vucular Sylw dmos ‘ fWmfl ●.Y respiratory S9* drcqs’ Ia&411 ‘hy~+m’jtilz ‘alwlolytics’/cdm413 ‘barbitiratu’fcuMOl ‘hyimoticm ●ti ●ufolyt4cs’/a&421 ‘mtipayctdic dvs’1c0d8422 ‘antimychot$c depnt’1-23 ‘ ●ntiunic drugs’/-Z ‘drugs .nd in P8ychm88 ●nd mlat.d -editions V/cc.id31 ‘tricyclic ●nd ●ntidwp drugs’/-32 ‘R401s’/-32 ‘am4umd ant+cbo drups ‘1ccda4M ‘othu Mtidop dru~s’ /*3 sUitidaprmsant drw~s’ ICc&440 ‘Cn3 stilmlmts’1C0ds4@ ’013 Stiwlanw’1a2dc451 ‘Bulk formiq dMs’/-32 ‘aPpbt4t4 Suppmnnts ‘ 1cnd9405 ‘ ●P@i* suwrnuti ●d bul kformfna druos’ tmdm460 ‘d-s .nd in W- 8 vm-ttgo’l~ ‘dr.ms usad in nunn ~ vm-t+go’l-71 ‘Inn-c.pied ●lulQ0s4cs’/CCA472 ‘op~cd anal~~cssl-73 ‘tri~inal rmur.lgla’cc&474 ‘mtlmlgraim druos’1-7 ‘uu19cs4c9’/~1 ‘anltml of .pilOpsy’/a44&? ‘status wi lspticus dnqs’ J~ ‘f.brile comu18ions’/~ ‘ulttePil*ptia’/M91 ‘~iturgic dms’1-92 ‘ mtimmcarinic drqs’ I-93 ‘drugs for trUOr, tlu, Cb_’/~ ‘drugs und in oarkinsonism •tc’~cod410 ‘drugs und in s.bstanu dcpm!dmu’ t

●nsmm ‘any GU3 dt-dgn’ f-M1 ‘anti-bactarial driqs’/-349 ‘otlmr mti-i.fatfcm drugs’ 1

anyt.fac ‘any ●nti-inftiic+ dnqs’1md8dOl ‘dmos .nd in d+. bum’lcud9602 ‘thyroid ●nd ant+thyroid dwgs’ /ccd0503 ‘cortiantimids’/~ ‘lax mnu’1-99 ‘tir ●ndccrirm dr.@s’/

M-- ‘●.Y cndccr~ra d~s’ /ti702 ‘trut.m.t of vaginal vulv.1 mnd{tlo.s’/

8

(

ad9703 ‘.wlltracspt{w,I●nygusyx‘●ny QI systu dn@s’I●n-l *Q ‘any-l <Qnantdqs or tmNK.S.~p9SSants’f

ccd~l ‘annmias ●d othor blad dlsordws’1

~ ‘fluids ●lactmlytn mimrals vi~ns’/myrutbl ‘ ●y mtrltfon ●nd blad druqs’ /•n~s~ ‘ ●ny ruaculo-sk.1~1 drugs’ f●nw&r ‘any .W drugs’/mwkfns ‘any skin pmpar.tiotn’

valuo lakls a!dal Ol to ●n~kins (0)not USd (1 )IMd

● Mwlaint Varfablm fmm a.dn95 S-ftuvan CUL.I●rd.awn ●YU ear.chdxma. digx g.%. =s. infx blox ski.

othu dknaa _

● this cr,ata -rail ~laints variables (pmfimd by t) for ●ll casmwith valum O c+ 1

-a tan-oif (-1 or cam-l) tcml-1-te tuld-oif (end-l or ●ndx.1 ) tend.1-ti tens-oif (ens-l or cnsx.1 ) tens-l

w- -dff (ow.1 or ●YU.1 ) twc.1~ -I-oif (N1-.l w Uml.1 ) tail--l~ t&i-3if (Chd.1 or chd”.1 ) tehj.1Qta t--oif (In.1 or NsX.1 ) tin-lQt@ tdig.oif (dig-l or digx.1 ) tdfg.1V* ?..#Um.oif (gus.1 c+- gu*.1 ) tgus.1-ta tmm.oIf (mm-l or mmx.1 ) *S-1-ta tinf.oif (inf.1 or infm.1) tinf.1-to tblc_Oif (blc-1 or blax.1 ) tblo-1_ta tskldif (ski-l or skix-1 ) tski.1anPIti tih-Oif (oth.1 or othx.1 ) toth=l

c-w- -if (mn.1 or mm.1 ) tmm.1

159

(

c-w- tdknA-Oif (dkna.1 o? dkw.1 ) tdkna.1

-- t —-oif ( —-1 or —.1) tnomn-1

fra van tan M tins ta~ tn. td-d t- tii~ tvus as ti.f tblo tskitath tin t-n tdkm

● this cr,atas dqs variabla (pmfimd by t) for all _with val~ o m- 1

v.r labels tnwisya ‘any 9a.tm-intati nil’ /twmsw ‘any cardic-vwlar syax dms’ Itnlns~ ‘ ●ny rapimtary sfltm dru9s’ /-w ‘~.Y = ‘d-.w’ltnyinfoc ‘ ●y ●nti-infutim dwgs’1~~ ‘a.Y ~=F!IM dwS ‘ ttnm.sw ‘ ●ny W WStm dm9s’ ftn~l W ‘any -1 Wnant drugs or I-nm.ppnsmts’ Itnytvtbl ‘ ●y wtrition and blood drugs’ Iways ‘ ●y m8culc-sko18tIl drws’1tnwysdr ‘ ●ny ●W dm9s ’ itwak+m ‘any skin pmpw.tiom’

valw labls tnWVSYS ta tnysklm (0)mt usad (1 )usod

● This nut tifan clucks wtmttmr them a- ●ny .ariab19s whsm thmvis ● ~laint on ●ftimr t- -in fila or on Iwda95. sw, tut ttm-l varlabl. 1s z6ro - threw shwld b no - lik@ this

-y~fia: ((tea. m 1) m-d (-..1 or canx.1 ))

—tculuncanxwulat if ((w m 1) ad (end-l or Mdx.1))1 ist van u- and d ●ldx

*:~~a~ ((tam m 1 ) ●nd (cm-l or cnsx.1 ))

cu4rm tens .s.s cnsx-lolat if ((q m 1) ●d (awl or ●P.1))1i at “u, Cannn *W 9W ●*-sahct if ((-r M 1) ●nd (aar.1 or arm-l))1i st vm-s caaam tur oar -I-X-whet if ((* IN 1 ) ●nd (cM-1 or cMx-1))1ist “arm U- tckd CM CMX-

160

ulat if ((tra M 1) ●d (I-99-l or =x.1))11St vln Ca,atm tr,s * *X-wwlat if ((tdig M 1) ●rd (dig-l or dlgx.1))list “am mm tdig dig dfgx

w9Glat if ((qus IN 1) ●d (ws.1 or 0.s..1 ))1!St “am CmNw tgus gus gusx

-::yva: ((-ISM 1) m-d (ma-l or mmx.1 ))

Caswm tmus mm Nsx-fl~~a~ ((tinf m 1) ●ni (inf-1 or infx.1 ))

— tinf inf infxwsalat if ((tblo m 1) ad (blc-1 or blox.1))11St “w, usom ?.blo blo blox-fl:~wag ((tskl m 1) ad (ski.1 or skin-l))

— tski ski ski.*fl:y”ag ( (toth &:) AdJpl or Ukhx.1 ) )

—

(-w-lat if ((tdkna IN 1 ) ●rd (dkna-1 or dknax.1 ))1ist VU8 CUUIO tdkna dkna dkrun-Ulat if ((t— m 1) ●nd (m+uwn.1 or —.1 ))1i st van uscm t-n m- ratmwm

● Nmxt nctimd- V18 s chuk for tha drugs

-::~ag ((tnsw m 1) and (anjcvsys.1 or xnycwsys.1))

_ tnwwm ●ycvsys xnycvsys-solat if ((tnymsys IN 1) and (an~ys-1 0. .nyrn~-l ))llst van — tnyrmfi ●nyrmsys x.yrmmwy;~a~ ( (tn~m~ m 1) w-d (mwcnsys.1 or xnycnsys.1 ) )

Casum tnymsp ●w=llsja Xlwcnsys

-salut if ((t.nyinfm no 1) ●nd (a.ylnfu.l or xnyi.f--l ))list van cuam tnyi nf 92 ●nyi nfoc X.Y4 nf.ct-o9elti if ((t.ywdac nm 1) ad (mymda-1 or x.ymda.l ))1ist .WS canm twmda ●*md.x *n*mdcc-solat tf ( (WWSW m 1 ) ●d (anywsy3.1 or ..Yw*Ys-1 ) )1ist vws canim tnyg.sya ●yg.sys .mqusystnv,olut If ((tllyulig m 1) and (anmali.a-l or XIlkmulie.1 ))list van caurm tn~ltg •n~lig II.*1{o

*ulti if ((twwtbl m 1) ●nd (mwwtbl.1 w xnyrutbl.1 ) )list “am — twwtbl ●nymtbl xnywtbl-9cloek if ((WS*W no 1 ) ●nd (mwssm.1 or xn~sw.1))1i at vws caum tnjms~ ●yusys xn~s~-ulut if ((tnymymdr m 1) and (an~ydr.1 or xnyaydr.1 ))1ist van -nno tnyaysdr •fl~r xnw~rt-Pulat if ((tnysk ins m 1) ●d (mmkins.1 or xn~kf.s.l ))1ist..” cam tnwkim ●nwkins xnyak ins

■ ✎ ✎✎✎✎ ✎✎ ✎✎✎✎✎✎✎✎ ✎✎ ✎✎✎✎✎✎ ✎✎ ✎✎✎✎ ✎✎✎✎ ✎✎ ✎✎✎✎✎✎✎✎✎ ✎✎✎✎✎✎✎✎ ✎✎✎✎ ✎✎✎✎✎✎✎ ✎✎

● dqs d-

* filter is a9 . 1 ●nd d1Wma3 M 1 ●nd bl m 3

161

Appendix3

DVS for drug use and dependence, alcohol consumption levels anddependence, and smoking.

These are saved on the database, but very few have been speclfledlong-hand. Hence, the programs are attached and annotated

Finally, the syntax used to produce tables in report 3, chapter5 are attached showing the table reference in the left handmargin.

Note, these DVS on substance use are In addition to those created

earlier (See DVS ALCLOC to FRBINGDR, QSHANDY to DRATEGR,~_ ++m~ow~~

)

(

162

Alcohol, drugs and tobacco

Alcohol consumption

The main varlbales used were:

DRATING and DRATEGR - these are the basic variables on alcoholconsumption using frequency X volume calculations, and they formthe basis for all alcohol consumption level derived variablesused in the reports (HILOALCn)

HILOALCn - there are several versions of these variables showingdifferent levels of consumption caegorles the most detailed ISHILOALC and the most comonly used summary variable is HILOALC3.See attached speclflcatlons.

For analyses which are based on regular drinkers defined as thosewho drink at least one unit per week, the group for whomHILOALC2 = 2 are excluded.

Alcpohol consumption can also be measured by the frequecny withwhich various levels of alcohol intake were made - see questions18, 19 and ITO on schedules B and C. The data were grouped usinhga derived variable FRBINGDR. This IS more useful when looklng atbinge drinking behavlour.

Alcohol dependence

The basic score variable was ALCDEP based on responses to the Dschedule questions relating to dependence (see reports forthese), and in analysls, we used the Variable ALCDEp2: (1 = scoreof 3 or more, O = all others)

Type of dependence:

The 3 measures were ALCLOC - loss of control,ALCSYMPT - Symptolmatlc behaviour,ALCBINGE - binge drinking.

For analyszs of the type of dependence, we used the varlbalesALCLOC3, ALCSYMP3, ALCBING3 which were set to 1 if the informanthad moderate dependence in that area, and O for minimal or nodependence

Drugs - see schedule D

Drug use was derived from answers to questions to DBA DBB and DBCand the types of drugs recorded A set ofwhich show which types of drugs had everthe survey crlterza - and another set dldhad been used lnt he past year.

variables were createdbeen used according tothe same for drugs that

163

Past year use - variable names:The variable names for drugs used in the past year usually bearsome meanlnful name eg; HASH GLUE OPIUM.

‘Ever-used’ drugs - variable namesThese varlbale names are prefixed with the letter ‘E’ to ind~cate

that these are not necessarily drugs used in the past year,rather that they are ‘Ever-used’.

(

(.

164

●

●

● Slqinlj pills

ff (dbnl.1.CT dhld .w db41ml -or ald -or dklml .or dkld -al- . 1

rdbah2.1mdblmS.1 ordbalm4.1Wdkldk-1-dbalm7-l~dbal@-l m~lm9. lord~lm10- 1*dMlm2-1~dbblmS.1 ordbblm4- 1ordMlti.1w dbblm7 - 1 ~ dbbl~ . 1 w dbblm6 . 1 or dMlm10 . 1wdbdm2.1~dbclm,9.1 nrdbclD4.1wdbdm6.1-dbcl.7 - 1 ordkcl~ - 1 &~?mS - 1 ordbel.10 - 1)

● Tra.-mIiliun

if (dbl.1 . 2 & dhlm2 . 2 or dbalm3 . 2 m dblab . 2 or dklm5 . 2ordblA-2*dbaln7.2 ordbald -2nrdbalm6.2 Wdbalm10.2ordbblml .2ordbbl&.2 ardMlm3.2~d&lm4.2 ~dMlfi.2ordbbld -2wdbblm7.2nr dbbl~.2- dMlm6.2ordbblm10 .2mdbclml .2ordbclm2.2 ordkclm3. 2ard&lfi.2 ordklm5.2Or dbcl~ - 2ordkclm7 = 2 or dbclm6 - 2 or dklm6 . 2 or dbclm10 . 2)atm.1

if (dblml . 3 or dblm2 -or dbalm6 - 3 or dblm7 -or d~l.1 . 3 or dMlm2 -or dM16 . 3 w dbbl.7 .or dkelnl - 3 or dbcld -or dkld . 3 c+ dbclm7 -~h.1

or dbal=3 . 3 w dbal=b . 3 or dbalm5 . 3Or dbal- - 3 - dbalw3 - 3 or dbalm10 . 3mdbblm3.3ardbb14-3 ordbbl=5.3or dbblm9 . 3 c? dMlaS - 3 or dtblm10 . 3ordbClm3. 30rdbCl=4.3 ordbcln9.3or db=ld . 3 or d~lm3 - 3 or dbcl.10 - 3)

“%-d

if(dbalml .4c+dhlm2-4~ dbal~.4ar dbalA-40rdbmlm6 -4erdkl&.4cedbln7-4 c?dbalM.4ordbald-4 ordbala10-4Wdkblnl .4cedbblm2.4 ordbbla3. 4Wdbb194.4 or d&l&.4erdtM&.4c+dbb1.7-4 ardbbl&.4crdb41&-4 erdbblm10-4mdhlel.4ardbdw2.4 c?dtilm3. 4Wdbcln6-4 ordbclm6-4or dbcl~ . 4 or dkcl.7 . 4 0. dbclad . 4 w dbcl- . 4 w dbelm10 . 4)ad.1

* cob

lf(dhl.l. S*dbalw2-5or dblm3. S4rdbald-Serdbmlm3 .5ordhlmd .Sardbalm7. S [email protected] ordbsl.10.5ordbblal .5ordtilm2-5 ardb41d .Scrdb41=4.5 &dMlfi-5=dbMd. Sordbblm7.5 -dbbl~. SardbMm6-5 ordbbl.10-5ordbclml .Sardbclm2-5 ardbclmS .Sard~l=4~5 ordbcl.5.5or dbcl~ . 5 or dbclm7 . S w dbcl~ . S w dbclm6 . S or dbclm10 . 5)eks - 1

- 14wdn

!f(db#l.1.6wdbl~.6 ardbala3. 6ordbalA-6w dba1m6.6or dbald . 6 w dbalm7 . 6 Or dhld . 6 0. dbal-9 . 6 or dbalm10 . 6w dbbl.1 . 6 or dbblm2 - 6 or dbblm3 . 6 or dbblm4 . 6 Or dMla6 - 6or dbbld . 6 w dbbl=7 . 6 or dbbl~ - 6 or dbblm6 . 6 or dbbl.10 - 6c# dbclml . 6 m. dtcl& . 6 or dbclm3 . 6 or dbclm4 - 6 or dbclm5 - 6w dbcld - 6 or dklm7 . 6 w dbcld - 6 w dk1m6 . 6 w dbcln10 - 6)-in . 1

165

(-

(

(

(

* C@m

if(dM1.l. 7~dbal&.7or dbalm3. 7wdbalmt-7WdlmlA .7Wdbmlti.7mdhlm7.7m dbald.7~dbalmS -7ardbala10 .7=dbb181- 7erdMld2.7ar dbblm3. 7ardMlm4-7ordbblmS .7-dbbl~. 7ord&ln7-7or dbbld.7W ~lm9-?ordbblm10 .7=d&lml. 7ordbcl&-7or dbclm3. 7mdtd4-7erdbcl* .7or d~ld . 7 or dbclm7 . 7 w dbcld . 7 or dbelm9 - 7 or dbcl.10 . 7)Uflitm . 1

8 kid

4f(dbl.1. O~dhl&.8mdkld .8m&l*.8C?d-lti.O-dbN~.Owdhl.7.9.~ dbal~.8W&al~.0ordk410 .0Ordbbl.l. 0Cedb41d.8 ordbbla3.0~~lm4.8 0rdbblm9. O0r~14. @ardbbl.7. Ocr dbbld.80r ~laId.8ardbb7_10 .8ardbclml .0~dbclm2.8or db4m3. Oar&clmd .O-dbcl!BS.0Or.dkld .0C?~l.7. Oor dbclmO. .8ar~ld. O0rdbClmlO .0)eid . 1

● ✍❙

if(dklml .9a. dtul&-9m dbalm2. -9ardbml=4 -9ordtalm3 ● 9ordbal*-Smdhl.7-9 erdbal~.9W*ld-9 -dbaln10-9-dbblml -9ardbb14 .9- dbbl~.90r dbblmO=9wdbbl=S -9-dbbld-9WdMlm7-9or dbbld-9ar dbblm9-9ordbblm10 .9ardbclml -9-dbclti.9or dbclm3- 9ordbl*-9-dbcl=9 .9-dbc14= 9=dbclm7-9or dbcl*.9- dtcl=9.9ordbclm10 -9)ascatasy . 1

● mm

if(dbalml -0~dbalm2-Oc+ dbalm3- 0mdbaln4-0erdlu7=S =0c? dbmld . 0 w dbalm7 . 0 OF dbal~ . 0 or dbalm9 . 0 w dkl.10 . 0=dbblml -Oordbbl&.0~ dbblm3. 0ordbb14-0=dbblm9 =0-dbbld-O-dbbln7. Ow dMld-O= dbblm9-Oordbbl=10 -Omdbdml. OWdbclti.0~ dbelm3. Oordkld.0mdLd=3 .0-dbclmd -0 Wdtclm7-Oor dbcl~-O ordb=l=d .Ocrdtcl=10 -O)Cglua . 1

● Vuiablu slap * gl~ .N M m * eic+n ml ad 002● iaUmya” ttuadmostakon byml.~hmusdti‘-ttt8n Stia8in11f* andatl_t~tntha FUt -r.

If((dd2al =lordd2am2. lar dd2m3. lw~-lwddZti .1=-.10rdd2n7.10rdd2A -lor--lmtinlo.l)

(ddlml. 10rdld. lmddlu3 -larddl-- l-ddlms. lorddlns. lwddl”7. lmddld -larddlas .lwddlmlo .1))

zLg2P.1

If((ddzd .zc+ddzamz. zw ddza. z.m---z=ddzus .Zor~.2orti7-2or~ -2w~=20rdd2=10 .2)

bm(ddlal. zrddlnz. zwddld. Zardl--z-ddlns. zorddlti.20r ddl”7-2wdd14 .20rddlu9- 2mdd1M10 -2))

w-l

If((dd2ul .3mdd2d.3ar dd2d.30r dd2-.3ordd2ti .30rdd2d-3ar dd2an7-3ardd2m9 -30rdd2M9- 3wdd2M!10 .3)

bNo

166.. ..

r(ddlM1. 3Cwddlti-3orddld. 3a. [email protected] ddlm7.3mddla.3 Orddla. 3wddlmlo .3))

IkQ+.1

If((dd2M1- 4ordi2v2-4or dd2u3-401- dd2n4.4wdd2& -4wdd2ti.4~~7.40rdd2& .40r~.4mdd2”10 .4)

MO(ddlaml .4wdd19r2.40, ddld. 4a-4dla8.4*&ld .4a-ddlti.40r ddl”7.4mddld .4wdld. 40rddlmlo .4))

3P5E0 - 1

If((dd2ml =Sordd2am2. Sordd2d .50rdd2--50r~ .5.xdd2A-S= @u7-5ordd2~- 50rdd2m9- 5ardd2u10 -5)

MO(dlul.50r doln2.50rddln3 .501- ddlA. s0rddlm3. smddla.5w ddl”7. sOrddla .Sorddluz .sarddlulo. s))

m .1

tf((dd2al -6ordd2m2-6~ dd2d.6~~d-6ordd2ti -6-W=6Wd2n7.6or~. 6m. ~-60rdd2d0 .6)

(ddlul. 60rddlm2.60rddld. 60rdd14. 60rddlfi.60rddld-6= ddln7.6wddl~. 6a-ddld .60rddl_10 .6))

IE401N- 1

If((dd2ml -7ordd2*-7m- dd2&.7-dd2ti-7wtiW .7-~-7erdd2n7-7ordd2& .7wdd24- 7ordd2n10 -7)

(ddlmll.70rddlm2. 70rddln3. 70rddl#.70rddld.7mtil&-70r dOln7=7arddld. 7wddl&. 70rddlH10 .7))

WIU4 - 1

If((_l-6==-8or dd2u3-60r dd2*-8.xdd2ti -6m-dd2ti-6= *2u7-6ordd2~ -60rd@m6- 0wdd2A0 .6)

w(ddlnl. 80rddlti -601- ddlti. 6erddlv4. 6orddl”5.8wddlti.6Ce ddlm7.60rddld .60rddld *aca-ddlmlo .6))

4CI0 . 1

If((dU2ml -9orod2u2-9or dd2ti-9ar dd2m4.9cedd2n5 .90rdd2u3.9ar dd2u7-90, dd2& -9nrdd2& -9wdd2n10 =9)

w(ddlaml-90rddld-90, ddluJ. 90rddlti .90rddln6 =9-*ld.9ar ddlM7.90rddla .9m-ddlu9. 9*ddlalo .9))

mn.lv . 1

If((ddz-kl=o-ddzti=oor dd2u3-o mdd2m4-owdd2=5 .Oor*.00rdd2m7 .oOrddzmn. Oa-ddzd -omdfnmlo. o)

m(ddlul. owddld. omddld. o a-ddlti -omddlns. oc.r

ddl*. omddla7. oOrddlti .Omddld -owddlmlo. o))au5-1

!mmda Ulq to glu (-9 - 0)(1 - 1) . .

● to 91UJP UP all dmt9s inta 1) ak drv9s (sl~ ti trmt),● 2) CU8UMS, 3) Iwd d- (u~i_ 4 * 9), and 4) sol-* * varfabla will t, =11- nwN17, w, M60. alJ2* * w Md CLu3●l-y aiat an Swua ffla* hum I”illmlyakclft?m7 dliMoframtch

w-*Ylm’t-o~dm’d-oif(alag .laratramu.l)ahp ● 1lf(a~.l=eko-lor slnmin. lorapi-. lmeacid .1Ornutuy.1)ailwd.1

(

if (sl,sp. 1 ortmnu . 1) hy~t . 1if(sw. lor~k. .lor hroin. lorc@tm. loracld .4Or=tuy.1)bd.1

9 1f any dnqs uk.n ●t al 1

-ti Nnyi-q . 0-ta ●@rug . 0

if(ahy~.1orahtsh.1 arWrd. l=qlu=.1)-n@W -1if(h~.1orhuh.1.ar hard. lorglus. l)an@W -1

.Iuirq V.l UN “laap ta mydmg (-&-9)

168

—

= DRUGS MS

compute at {8 . 0CoqUte hal hlC = OcOmput* r*Ddrug . 0compute othdrug - 0cOmput* nodrug . 0

1if coke . 1 or speed . 1) stim - 1If ●cjd - 1 or .cstasy - 1) halluc - 1{f h*roln . 1 or o VU- . 1 or glua - 1) remdrug - 1

!r.cod. ●tydrug ( 1-0 (0-1) into nodrugIf (S1tOp - 1 or tranx . 1 or coke - 1 or speed - 1

or ●cid - 1 or ●cstasy - 1 or hwoin - 1 or opium .othdrug - 1

1 or glu* . 1)

var, abl. lab.lsat 1. “st,Nlantsecoka+speed’ Ihalluc ‘ac~d ●nd ●cstasy ’/remdrug ‘others hwoin, opium,~luem fothdrug ‘other dru a ● XC bath /

inodrug ‘no drug ta ●n”

v.lu* lab.lsStlm O ‘none takan’ 1 “tak.rl’/halluc O “none taken’ 1 ‘taken’lrcmdrug O ‘ nona taken’ 1 ‘taken” Iothdrug O ‘nona taken’ 1 ‘taken’ Inodrug O ‘SOSC drug tmkcn’ 1 ‘no drug taktn’

C~pUt* othhyp - 0compute othhash . 0compute othstlm . 0compute othhall - 0compute othrem - 0

1

If hash - 1 or stare - 1 or halluc - 1 or remdrug - 1]f hypnot . 1 or stim - 1 or halluc . 1 or rtmdrug - ! ;t%{~:hl. ,!f hypnot . 1 or hash - 1 or halluc ● 1 or rdrug - 1) othstm - 1if hypnat - 1 or. hash - 1 or stim - 1 or rntirug - 1) othhall - 1

~f hypnOt - 1 Or hash - 1 or stim - 1 or halluc . 1) othr.m . I

variable l.bclsothhyp ‘took mar. than h pnot’ /

i!othhash ‘took more than ●sh’/othst m ‘ took mm-m than at in’ Iothhal 1 “took MI-. than hallu=’ /othtwm ‘twk rnra than hwinlopfglua ‘

,lUC labals othhyp to othrom O “d{d not’ 1 ‘, take mora drugs’./

C- ute hashus. - 0

1

If hash - 1 ●nd otMrug . 0 hashuse . 1

IIf hash - 1 ●nd othdrug . 1 hashus~ - 2If Hash - 0 ●nd c.thdrug . 1 hashu$a - 3

War labtls hashuso ‘what drug tak~n: ha,h 7“valu. lab.ls h.,lws. O ‘no dru s’ 1 ‘hash only” 2 ‘hash + other drugs’

33 ‘ othsr lWgS Only “

‘ DRUQ OEPEHDEHCE DVS - HOTE ME KNW UWST 06US CAUSEO THE OEPEUDEHCE

* So hat drugs ..re pop 1. d.p. ndo.t on 7

comput. d.psl..p - 0coaputm deptrtnx - 0ccmpute daphash . 0

cwut* d*p~pO*d - 0coqut. dbpcoke . 0compute dophcro, - 0coqwta do pop w. - 0c(mputa dapac Id - 0computo dcpccata - 0co.put. depglu. . 0

crmpute doph Pno - 0icomput. dcps >. . 0

c~puto dophall - 0camput. dcpoth . 0

l,dd3aml to dd3am102, dd3aml to dd3n103,dd3a.1 to dd3am104, dd3aml to dd3am105,dd3bml to dd3a,106,dd3nl to dd3am107,dd3aml to dd3an108, dd3agl to dd3em109, dd3a.1 to dd3ad0O, dd3a,l to dd3..lO

HIf ●ny 1,dd4aml to dd4am10 dapslotp - 1{f ●ny 2,dd4aml to dd4am10 daptranx - 1if ●ny 3,dd4aml to dd4ad0 dephash - 1]f ●ny 4, dd4aml to dd4am10 dapspcd - 1If ●lty S ,dd4aml to dd4m10 dcpcokc - 1If AnJ6,~ ss~ *tmlDi - J,f ●“y ,ddwl to ~a dcrpqttm - 1if ●ny S,dd4~l to dd4u10 depacid = 1If ●ny 9, dd4rnlso dd4m10 dopocsta = 1{f ●y 0,dd4ul to dd4a10 depglus . 1

_l Iif ●ny 1,dd5aal to dd5-10 dopslcep . 1if any 2, dd5nl to dd5an10 daptranx ● 1if ●ny 3, dd5aml to dd6am10 dophash = 1if ●ny 4, dd5aml to dd5am10 depsp*od = 1‘f ●y S, ddSaml to dd5mm10 depcako . 1

●ny 6, dd6~l to dd5bd0 deplwroi ● 1

-4.

-

++

.+

.

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.*-

,-6.*

+**

-*

*-,..

.**.

**0000000000

nn

nn

nan

nn

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nn

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mn

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+*-

,+,+

++

-.,+

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k..

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171

,f [depecsta - 1 ●nd ●cstasy . 0 dcpccsta . -71!f dep*cst. - 0 ●nd .cstasy - 0 do~cst. . -9

If [depglu. - 1 ●nd glue ■ O depglue - -71{f depgluc - 0 ●nd glue . 0 dcpqlue - -9

,f [dep,t,m - 1 ●nd stm . 0 d.pst!. - -71If depst,m - 0 ●nd stim . 0 depstin . -9

,f [dephall - 1 ●nd halluc - 0 dcphall - -71{f dephall . 0 ●nd halluc - 0 daphall - -9

:! [%;:::- [. 1 ●nd heroin - 0 or opwm - 0 or glue - 00 ●nd h.rein - 0 or 0piU9 . 0 or glue - 0 ]] *$:::;

var labelsdepal.cp ‘dep on 9 l@*p tab,’/deptranx ‘dep on trarqu, lISWS’ \dephash ‘dep on cannabis’/depspe.d ‘dep on ●nphat~incs’/depcoka “dep on coke” fdephcroi ‘d.p on heroin’/depopwm ‘dcp on op{ates’1depacid ‘dep on psych.dol,cs .tc’ /depecsta “dcp en ●cstasy ’ fdep lue ‘d-p on solwnts’ fdep pno ‘dep on h pnot ics’1

$’ {dopa I. ‘dep on st al.nts”/dephall ‘dep on hallucfnogants I~cdepoth ‘clap on h-rein, opium, glu.

.alue l.b.lsdcpslcap to d.poth ~, ‘m: d@ ●ndont ,but took’ 1 ‘dependent’

-9 ,no~,t$:ny~+t:~nj;p-;);m drug d.ta’

¤]~s~ng values dcpslc.p to depoth (-7,-8,-9]

* DRUG PROOLEHS DVS

%“’’~.yy;,;r:,-,or dd9 - 1 or dd10 - 1 w- ddll - 1 or dd12 . 1 or dd13 - 1 or

var Iab*ls dr pr 2 ‘has dru probh,’%.aluc labels rgprb2 O ‘no rug problom” 1 ‘has drug probloa’

- .. ”...-. .“- .,,. -,,.

Q J

\

‘ ALCOHOL COHSk6VPT105 OVS

IIrecode dratogr (1,8 - 1 (2,9 - 2 (3 10-3)(4,11 . 4)(5,12 - 5)(6,13 - 6)(7,14 - 7)(01s. - COpy i“te hi 4a\c

❑iss!. vmlums hvlomlc (-8 -9)!var!ab ● label$ h!loalc ‘ 1! ht/hcw~ drinkw’

?value labels h,loalc 1 “.bs .In O 2 . 1x1’ 3 ‘1ow.1.1O,7’4 “mod 1.21,14, 5 ,f. ir hi.1.35,25C 6 ,hi- 1.50,35, 7 ‘, h,.51,36+0

%%g’’;~~ch~{%~][!at~~7-2, (*ls*- COW) into hjle.1.2var 1. els hllo.lc2 ‘P.gul& drjnkw ?’Value labcla h110alc2 1 ‘abstain/occas~oml” 2 “regular dr!nkor’

values h,\c.alc3 [-i -9)recode hlloalc (1 2 - 1) 3 4 - 2)(5 TtiRU 7 . 3)(.1s. . copy) {nto hjloalc3❑ tssln

fvarlab ● labels hilo.lc3 ‘.\c over s.ns, ble ■x’value lablels hjlo.lc3 1 ‘abstain foccaslonal’ 2 ‘ low-mod’ 3 ‘~ sona!ble ●x”

rec.ade hlloalc (1 thru 4 - 1)(5,6 - 2)(7 . 3)(else - copy) Into hiloalc4m,ssjn values hjloalc4 (-8,-9)

ivar la ●ls hlloalc4 ‘dr~nks heavily or very haav~l ‘value labels h110alc4 1 ‘<acnaibla ■ax’ J2 f heavy heavy’ 3 ‘> safe ■ax”

[recode htloalc (1 2 - O) 3,4 - 1) (5 - 2) (6 . 3)(7 - 4)(else - copy) Into h~loalc5m,ssln walues h1\oalc5 -8,-9)

i!var la els h110alc5 ‘ale conauwp 4 bands’val labels hiloalc5 O ‘abstainer’ 1 ‘below sens Nx’ 2 ‘high’ 3 ‘f high’ 4 ‘v high’

wM, able labels ●lcl ‘abstainer/occas ion.l w net,I ●l.4 ‘ vw heavy drinkar . . not’

ivalue labels ●lcl O ‘abs a!n, vI-’ 3 ‘low to h!gh’/ .le4 O ‘absta!n to high’ 1 ‘. high

- ALCOHOL OEPENOEHCE AHO PRWLEBS OVS

recodealcloc ●lcsympt ●lcb~n c ●lcbcll ●lcspaus ●lcrels ●lcfrnds●lc ob r ●lcpol r ●lch h r ●lcacca (1,2 -1)(3 - 0 In o

‘!alc~oc! .lcsym~ .lcbing .lcb.112 .lCSPS.2 .lcre{s2 ~lcfrnd2●lr~ob2 ●lcpol ●lchth2 ●lcaccs2

recode ●lcdcp2 (0.1)(1-0)Intonoalcdep

corn ute alc rob2 - 0,f !.lcb.ll! -1 or .ksps.2 .1 or ●lcrwls2 -1 or

● lcfrnd2 - 1 or ●lc~ob2 - 1 or ●lcp012 . 1 or ●lchth2 - 1 oralcaccs2 - 1) ●lcprob2 - 1

recode ●lcprob2 (1 - 0)(0-1) into noalcpb2

9

war labels●lc10c2 ‘?lc dep -loss of control’falc$ym{2 ,al= d*p - .~~mti= b.h.vlou.”1●lrb, n 2 ●lc dop - b n ● drinking’/a Irbel 2 ‘ale cons - bc ligerenca I. lc. pse2 ‘ale cons -spous- problams’ Ial. rels2 ‘ale cons - relatvve problems’1al. f!-nd2 ‘ale cons - friend rwblems’1a lrJob2 E‘ ●le cons - Job pro le8s”/

p012 ‘ale cons - pol{ca problams’1

d

.-)

.\

● lchth2 ‘SIC cons - h~alth problems’/●lcaccsz ●le COnS - ●ccidents’/ilc rob2 ‘any ●le prob, sin+mod”/

fno. cpb2 ‘no ●1c pr-ob, m{n+wd’lnc.qlcd.p “me ● lC d.p.nd.nc. ”

value labels●lc10c2 to ●lcaccs2 O ‘no ●+n roblem’ ‘noalcdc O ‘has ●lcdap’ 1 no ● e de “/

! g E ‘ ‘! f ‘dp’ob’e=’●lc rob O ‘no ●le rob’ 1 ‘ale rob ●n” fno. cpb2 O ‘.lc pro 1..’ 1 ‘no ● e problu’

J

. —

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aoao0000oaoa

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SsssssssSsssssss

55

u55555555Ssssss

SsSsSsSs

SsssssssSsssssss

W2sssSsssss

S5SsSs5s5s5sSsSsSsssssSsssss

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dddddddddd

dddddd~~dddddddd

dddddddddddddddd

dddddddddddddddd

HHHHIIHHHHHtlHHHHH

HHMHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH

SsssssssSsssssss

55

x55SsssssSsssss

5$555555

SsssssssSsssssss

Xm3xmXmxlm

333333

%’ 33333333xl

Xmxmxmxfx3

1:1999ccc1;1nu99cfmu99C1

;9999tU:u:I9f:iln119CC;IUU1999cccMUMU

....

....

....

....

wwww

MMMMwww ww

VuuuunnuUuunuvuu

urnMuMuMuurnwww

UuunnuuuUwdnuuu

SsssssssssSsssssssss‘w ~“-~ Ssssss

AlH9fVS31ON

SsssssssssSsssssssssSsssssssss

1-

1a

m

r

‘ ALCOHOL COWJMPTIOH

/-

Ovs

11recode drattgr (1,8 . 1 (2,9 - 2 (3 10-3)(4,11 ● 4)(5,12 . 5)(6,13 . 6)(7,14 . 7)(.1s. - copy Into h, oa\c

■ lssln .alues hjloalc (-8,-9)?varaab ● lab.ls hlloalc ’11 htflwavy drinker’

?valuo lab.ls h,lc,alc 1 ‘abs ●tn’ 2 V 1~1’ 3 ‘lH. le10,7’4 ‘~. l.21j 14’ 5 ‘fa, r h,. lo35,25’ 6 ‘h,. l.50,35- 7 C, h,.51,36+’

.Iss,n ,.1.s h,l&alc2 [:tlt~~ 7r.code h,loalc (1 2=1) . 2) (*lsQ - copy) Into hlloalc2

%var la .1s hiloalc2 ‘F.gul& drink.r ?’Value labels h, loalc2 1 ‘.bst.in/occasional - 2 ‘r.g”lar dFlnker-

[

recode hlloalc (1 2 . 1) 3,4 . 2)(5 THRU 7 - 3)(else - copy) Into hlloalc3❑ ,ss~n values hj\oalc3 -8 -9)

1.arlab ● labels hlloalc S ‘ale over sensvbla UX’value lablels hll.aalc3 1 ‘abstain/~c.swnal’ 2 ‘low-nod’ 3 ‘> sensible mu”

$recode htloalc (1 thru 4 - 1) 586 - 2)(7 - 3)(81se . copy) snto h>loalc4mlss~n valuas hlloalc4 (-8, - )

%var la ●ls hiloalc4 ‘drtnks heavily or vary htavil ‘$value labela hil.a#lc4 1 ‘C$.nsible ■ax’ 2 f heavy h.swy ’ 3 ‘> safe NX’

,*,U.* Jl,}o#le, [-A -9)recede hllotlc (1 2 . O) 3 4 . 1) (5 . 2) (6 . 3)(7 - 4)(else - copy) ,nto h110alc59,ss ,“

%vw la els h110alc5 ‘*1c co;sump 4 bands’val labels h!loalc5 O ‘absta~nw’ 1 ‘belw sens ■an’ 2 ‘h, gh’ 3 “f high’ 4 ‘v high’

[rerode h!loalc 1 thru 2 . 1wwdo h~lomlc 1 thru 6 . 0

] [;-t~~:;j~ut. .1.1

*of Babl* lab*ls ●lcl ;abstaxnerloccas lon.1 w not,I ●1c4 vw heavy dr?nk.r ., not’

{value labels ●lcl O ‘abs ●ln, .1ow’ 1 ‘law to high’f ●le4 O ‘abataln to high’ 1 ‘. high’

. ALCOHOL OEPEllOE#CE AMO PR06LEMS DVS

recode●lcloc ●lcsppt ●lcbln ● alcbcl 1 ●lcspous alcrels ●lcfrnda●lc ob r ●lcpol r ●lch h r ●lcaccs (1,2 .1)(3 . 0 Into.lc~oc~ ●lcs# .lcb,!g! .lcb.112 ●lcspse2 .lcI-c{s2 .lcfrnd2●lCJ0b2 a]cpOl ●lchth2 ●1cJcc82

recode ●lcdop2 (O.l)(l-O) Into noalcdep

CM ute ●lc rob2 . 0!!If .lcb@ll - 1 or ●lcspsQ2 . 1 or ●lcrels2 . 1 or

●lcfrnd2 . 1 or ●lcJob2 - 1 or ●lcp012 . 1 or alchth2 . 1 or●lcacca2 . 1) ●lcprob2 - 1

recode ●lcpr&b2 (1 . 0)(0.1) into noalcpb2

var lab~lsalc10c2 ‘ale dep -loss of control’1●lcsymp2 ‘ale dep - sym@outlc bahatlour’/●lrbxn 2 ‘ale dep - bln ● drink qng’1

f ‘!alrbel 2 ‘@lc cons - bt lagwence I●lc*pse2 “ale cons -spousa problams’/●lcrela2 ‘ale cons - twlatlve problems’1alcfrnd2 ‘*1c cons - frlmd roblama’1●lCJ0b2 E‘ ●lC COnS - Job p- iems ‘ ~●l.p012 ‘ale cons - pOIIc* pr0blem9’/

(- /-

-1

w

●lchth2●lcaccs2● lC rob2

!noa cpb2“oa Icdep

‘ale COni - health probltms ‘/‘ale cons - ●cc~dents’1

‘any ●lc prob, man+wd’t‘no ●lc prob, mjn+ud’1‘ no ●lc dependence’

value labals●lc10c2 to ●lcaccs2 O ‘noln, n roblem’ 1 ‘wd problem’1

●lc~b! O ‘no .1. rob’ 1 ‘al~~rc.b!e.’ /noalcde O ‘has ●lcdcp’ 1 ‘no ● c do ‘/

Bnoa cpb2 O ‘ale pro le.’ 1 ‘no ● c problem’

‘ ORUGS OVS

compute stm - 0cowpute halluc - 0compute rendrug . 0compute othdrug - 0compute nodrug . 0

IIf coke . 1 or spc*d . 1) stm - 1If ●cid = 1 or ●cstasy . 1) halluc = 1If heroin . 1 or o Iua . 1 or glue . 1) remdrug - 1

!recode ●nydrug ( 1.0 (O= 1 ) Into nodruglf (sleep - 1 Or tranx - 1 or coke - 1 or speed - 1or ac~d . 1 or ecstasy - 1 or h.sro>n - 1 or opium =c.thdrug - 1

1 or glue 1)

var, ablo labtlsst m ‘at ,mulants coke+ speed’ Ihal luc ‘acid ●nd ●cstasy ’tremdrug ‘others hero~n, opwm, ~lue’ fothdrug ‘other dru s ● xc hash I

i!“odrug ‘ no drug ta en’

value labelsst, m O ‘none taken’ 1 ‘takenslhal luc O ‘ none taken’ 1 ‘taken’/remdrug O ‘ none taken’ 1 ‘taken’ Iothdrug O ‘non* taken’ 1 ‘takan’lnodrug O ‘ sone drug taken’ 1 ‘ no drug taken’

cmpute othhyp - 0compute othhaah . 0compute othstm - 0compute othhal 1 - 0compute othrem . 0

\

If hash - 1 or ttm . 1 or halluc - 1 or remdrug - 1 ) othhlE-lIf hypnOt - 1 Or $t~~ “ 1 Or h~lluc - 1 OF ramdrug “ 1 ) Ot ash . 1

If hypnOt - 1 or hash “ 1 Or halluc - 1 OF re=d~g - 1) Oth~t~m “ 1If hypnot - 1 or hash - 1 or stlm . 1 or remdrug - 1) othh.11 - 1If hyp.Ot - 1 or hash = 1 or st~m - 1 or halluc = I) oth.e. . I

.ar, able labelsothhyp ‘took more than h pnot’ I

1!othhaah ‘took more than ●sh’ Iothstm ‘took more than stm-lothhall ‘ took more than hal Iuc’1ot hram ‘ took more than hero ~nloplg lu*’

value labals othhyp to othram O ‘did not’ 1 ‘d~d take wre drugs’

i f’= ,---

CM We hashuse . 0

\ I

If hash - 1 ●nd othdrug . 0 h.shust . 1If hash - 1 ●nd othdrug - 1 hashust . 2If hash - 0 ●nd othdrug - 1 h.shw.t . 3

var labels haihuat ‘what drug taken: hash ?’value Iabela hashuse O ‘no d

9s’ 1 ‘hash only’ 2 ‘hash + other drugs’

3 ‘other rugs only’

* DRUG DEPENDENCE OVS - NOTE HE KllOU UMT ORUG CAUSEO THE OEPEIIOEHCE

* So what drugs .erw people dependent on ?

comDute denaleen . 0compute de~trank . 0crnpute dephash . 0conput. depspeed . 0comoute deocc.ke - 0comiute dc~haro~ . 0compute depopwm . 0compute dmpac,d - 0cowute dmgcsta . 0combute depglue . 0

cowpute deph no ● OPcowputa dcpt ,m - 0

compute dephal 1 - 0compute depoth - 0

totototototototototo

dd3an10dd3am10dd3am10dd3am10dd3am10dd3am10dd3am10dd3am10dd3a=i0dd3am10

dcps lQ*p .deptranx -dcphash -dcpspeed .dcpcoke -daDherol -depop lU~ -dcpacid .dapecsta .dtpg hit .


dd4am10dd4am10dd4am10dd4am10dd4am10dd4am10j:~;:

dd4am10dd4am10

depslaepdeptranxdtphaahdtptpceddtpcokodcpharo{dcpop Iumdapac,ddsp.cstadepglue

.1-1.1=1=1=1-1=1.1.1

(-,-

[ IIf any 7,dd5aml to dd5u10 depopwm - 1,f any 8,dd5aml to dd5am10 depac~d - 1If ●ny 9,dd5amI to dd5am10 depecsta - 1If any 0,dd5aml to dd5am10 depglue - 1


tot4totototototototo

dd6aml Odd6am10dd6am10dd6am10dd6am10dd6am10dd6am10dd6am10dd6am10dd6am10

dd7tm10dd7am10dd7ad0dd7am10dd7am10dd7am10dd7mm10dd7am10dd7am10dd7am10

da~hero!depopmimdapaciddopecstadepg lue

d~pslaepdeptranxdephashd-pspceddepcokcdeph.t-oldapop, umdepac ,ddcpecstadcpgluc

.1-1.1-1.1.1-1

:;-1

.1-1

:1-1.1-1-1-1.1

IIf depsltep . 1 or daptranx . 1) dcph~pno . 1

I

If depspeed - 1 or dcpcoke - 1 depstm . 1tf depacjd - 1 or dcpocsta - 1 dephal 1 - 1if depherol - 1 or depopwm - or depglue . 1) depoth - 1

“ If the drug wasn’ t taken but person rang that he was dependent on lt“ .a set this to -7, ● ■lsslng value

= ,f person d,d not take ● drug and was not de ●ndent on It!* unless h. said h. .as dependent on It by ■ %s ●ke (-7)

8 this >s set to -9

IfIf

IfIf

IfIf

IfIf

IfIf

[$$;:;:]ad ‘lSSP - O] d.p,,..p ..70 and sleep . 0 dapsleep - -9

[~~~;ranx -0 ●“d tranx . 0] d.ptr.nx --9ranx - 1 ●nd tranx . 0 daptranx - -9

.f- I-= /-

IfIf

Iflf

IfIf

lflf

IfIf

IfIf

IfIf

[$F.St.- O;..d .csta*y .01depecsta --9est. - 1 ●nd ●cstasy . 0 dep.cst. . -7

[j:$:ypno -1 ●nd hypnot . O! dephypno --7ypno . 0 ●nd hypnot - 0 dcphypno - -9

Kg%:.0 [. 1 ●nd haroln - 0 or op!um . 0 or glut . 0

and hwo, n - 0 or op, um . 0 or glu. - 0 11$$:$: Z

war labelsdeps >.ep ‘d.p on sleep tabs’/deptrmx ‘dep on tranqul 1 Isers’ Idephash ‘ d.p on can”ab IS’ Idepspecd ‘dcp on ●phetamlnes’ Idcpcoke ‘ dop on cc.ke’ Idenherol ‘den on her.aln’ Ide~opwm ‘d*b on opl.tes”’/dep.cld “d.p on psyched.llcs ●tci Jdepecsta ‘dep on ecstasy’ Idep Iu. ‘dep o“ solvents’/dep pno ‘dop on hypmot ,cs’ I

‘!deps am ‘d.p on St Ialants’1dephal 1 ‘clap on hal luclnogents !ncdepoth ‘d.p on hare, n,oplum, glue O

Ecstasy ’1

value labelsdepsle.p to d.poth ~7’ ~:: dc ●ndent, but t~k’ 1 ‘dependent’

-9 ,w~,t~~ny~+t~nj~p-;)l”o drug data’

●~ss, ng values depsl.ep to dcpoth (-7,-8,-9)

. ORUG PROSLEHS OVS

;~’’#-;?~~#; ::. dd10 ., w- ddll

war labels dr pr 2 ‘has drw proble.’ivalue lab.ls rgprb2 O ‘no rug problem” 1

.lordd12-lordd13 .Ior

‘ has drug problem’

* CIGRRETTE SHOSIN6 OVS

= first to correct CIG61ES ●nd C16ARS d.

do lf bhldna . 1compute CIGSIES - 1computa C16RRS = 1●nd ,f

recode cigg!ea (5 - 1)(4 . 2)(3.3)(2.4)(1.5)(-8--8) ~nto cigglesr

r.code c~ggt.sr (1,2 . 1)(3=2)(4.3)(5-4)(-8.-8) Into ctggrpl

r.code c~ggiaar (1 ,2.1)(3,4.2)(5-3)(-8--8) Into ctggrp2

recode cIgg Iasr (1,2. 1)(3 thru 5 . 2)(-8 . -8) Into c~gsmoke

var’lable labelsclgg, esr ‘cq smoking In table order’1c~ggrpl ‘ non-smoke or how much srnked’ Iclggrp2 ‘ non-smoke< or heav smoker’ Iclgsmoke ‘$sokes cqs or noi’

“allle labeltc,gglear 1 ‘never smoked’ 2 ‘e.-regular’ 3 ‘ 11 ht’ 4 ‘moderates 5 ‘heavy’/clggrpl 1 ‘ non-smoker’ 2 ‘ llght’ 3 ‘moderate’ ~ ‘heavy’ Iclgg.p2 1 ‘non-swker’ 2 ‘ I,ght-mcderate’ 3 ‘heavy’/clgsmoke 1 ‘ non-smoker’ 2 ‘ swkas’

■lss, ng values c~gg)ear to clgswkm (-8)

* OTHER DVS USED IN ANALYSIS Of CHS, REPORT 3

recode ● ●lOyr (1 . 1)(2 - 2) ~3 thru 5 . 3) Into age3yrvar labe s ●ge3yr ‘a e 3 ban-da..1.. 1.!.1s ●ge3yr ! ‘16-24’ 2 ‘25-34’ 3 ‘35-64’

recode ● ●lOyr (5 . 1)(4 . 2)(3 . 3)(2 - 4)(1 . 5) Into ragel Oyr!vw lab. s ragtl Oyr ‘ago rmverso order’

val labels ragel Oyr 1 55-64’ 2 ‘45-54’ 3 ‘35-44’ 4 ‘25-34’ 5 ‘16-24’

.al lab. ls manuorno 1 ‘ non-manual ‘ 2 ‘manual’

L

cross tabs tables -hlloalc hlloalc3 by subsex/h~loalc h~loalc3 by agelOyr/cells . count row column

cross tabs tables -hlloalc hlloalc3 by flapfourh~loalc h~loalc3 by flapfourcells - count row column

crosstabs tables -

HA t%~a u c..\AkIi 4

hlloalc h~loalc3 by agel Oyr by subsex/

flaptwoIflaptwo by subsex/

h~loalc hiloalc3 by dzagno3/h~loalc hlloalc3 by diagno3 by suMex/cells - count row column.

crosstabs tables -hiloalc hiloalc3 by numbdis2/hiloalc h~loalc3 by numbd1s2 by subsex/diagno3 by hiloalc/diagno3 by hlloalc hlloalc3 by subsex/cells . count row column

MILT RESPONSEGROUPS- $dlsorde1whxch neurotic disorder present 1(mad gad dep phob ocd panic (1))/variables - hiloalc (1 7) hlloalc3 (1 3 ) subsex (1 2 ) dlagno3/TMLEs- h~loalc hiloalc3 by $dlsorde/

h~loalc hlloalc3 by subsex/hiloalc h~loalc3 by $dlsorde by subsex

/BAsE-cAsEs/ cells - count row column

(o 2)

comment to pick out cases where alcohol consumption was knov+m

USE ALL.COMPUTE filter_$- (filter - 1 and range (hiloalc, 1,1))VARIASLE LD.BEL filter_S ‘filter - 1 and range (hiloalc, 1,7) (FILTER) ‘VALUE IAWELS fllter_$ O ‘Not Selected’ 1 ‘Selected’F03U4AT fllter_S ( f 1 0)FILTER BY fLlter_$

Mult responseGROUPS-$alcons ‘alcohol consequences’

(alcbel12 alchth2 alcfrnd2 alcspse2 alcrels2 alcpo12 alcaccs2alc]ob2 alcprob2 noalcpb2 (1))

$alcdep ‘alcohol dependence’(alcdep2 ●lcsYmP3 alcloc3 alcblng3 noalcdep (1))

/vARIAELES- dlagno3 (O 2) subsex (1 2) h~loalc (1 7)flapfour (1 4) flaptwo (O 2) agelOyr (1 5)

/TmLEs-$alcdep by h~loalc/ $alcdep by hlloalc by subsex/$alcdep by subsex

/WE-CMES/cells - count row column

comment to pick out the regular drnkers

USE ALLCOMPUTE filter $-( filter - 1 and. hiloalc2 - 2)VARIABLE IAEEL-filter $ !fllter - 1 and hlloalc2 - 2 (FILTER) iVALUE LABELS fllter_$- 0 ‘Not Selected’ 1 ‘Selected,FORHAT filter S (fl O)FILTER BY fil%_$

Mult responseGROUPS-Salcons ‘alcohol consequences’

(alcbel12 alchth2 alcfrnd2 alcspse2 alcrels2 alcpo12 alcaccs2ale] ob2 alcprob2 noalcpb2 (1))

$alcdep ‘alcohol dependence’183

(alidep2 alcsympj alcloc3 alcblng3 noalcdep (1))

/VARIABLES- dlagno3 (O 2) subsex (1 2) hlloalc3 (1 31 agelOYr (1 5)numbdls2 (O 2) flapfour (1 4) flaptwo (O 2)

/TABLES-S II $alcdep by agelOyr/ $alcdep by agelOyr by subsex/

C-12 $alcdepby flapfour flaptwo dmgno3 /

(- 3$alcdep by flapfour flaptwo dlagno3 by subsex/

5-3 z%; ~ ~~~%~ $al.dep by dlagnc.3 by subsex/SA5E - cases/cells - count row column

Milt responseGROUPS-$alcons ‘●lcohol co’~equences’

\\

(al el12 alchth2 lcfrnd2 alcspse2 alcrels2 alcp012 alcaccs2ale] 2 alcprob2 n lcpb2 (1))

$alcdep ‘a cohol depende ce’(alcdep2 alcsymp3 alcl 3 alcbing3 noalcdep -(1))

/VAR2ABLES- ●gn03 (O 2) s sex (1 2) h~loalc3 (

\

3) agelOyr (1 5)n dls2 (O 2) f four (1 4) flaptwo 2)

/T LES-

\

$a cdep by d~agn / $alcdep by dlagno3 by subsex/w - cases/cells - count row column.

[

S4ult responseGRoUPS-$alcons ‘●lcohol consequences’

(alcbel12 alchth2 alcfrnd2 alcspse2 alcrels2 alcp012 alcaccs2alcjob2 alcprob2 noalcpb2 (1))

$alcdep ‘alcohol dependence’(alcdep2 alcsymp3 alcloc3 alcblng3 noalcdep (1))

/V? WABLES- diagno3 (O 2) subsex (1 2) h110alc3(l 3) agelOyr (1 51numbdis2 (O 2) flapfour (1 4) flaptwo (O 2)

/TMLES -

r 1+ $alcdep by nvmbdis2/ $alcdep by numbdls2 by subsexl$alcdep by hlloalc3/ $alcdep by h110alc3 by subsex/

s. ,s- $alcdep by hLloalc3 by diagno3/SalCdeD bv h>loalc3 bv dzaano3 by subsex.-.

/BASE-C&Ei/cells - count row column

comment to pick out cases where alcohol consumption was known

L_

184

USE ALLCOMPUTE fllter_$-(filter - 1 and range (hlloalc, 1,7) )VARIABLE LABEL filter_$ 1filter - 1 and range (hlloalc, 1,7) (FILTER) ‘VALUE IABELS fllter_$ O ‘Not Selected’ 1 ,Selected!FOPJ4PIT fllter_S ( f1 0)FILTER BY fllter_$

Nult responseGROUPS-$alcons ‘alcohol consequences ‘

(alcbel12 alchth2 alcfrnd2 ●lcspse2 alcrels2 alcp012 alcaccs2alcjob2 alcprob2 noalcpb2 (1))

$alcdep ‘alcohol dependence’(alcd=p2 alcsYmp3 ●lc10c3 ●lcbmg3 noalcdep (1))

/VBJUABLES- dlagno3 10 2) subsex (1 2) hlloalc(l 7)flapfour (1 4) flaptwo (O 2)

/TA5LES -$alcons by subsexl$alcons by hlloalcl$alcons by hlloalc by subsex

/ME-cME5/cells - count row column

comment to pick out the regular drinkers

USE ALLCOMPUTE filter $-(filter - 1 and hlloalc2 - 2) .VARIABLE L?@EL-fllter_S ‘fllter - 1 and hlloalc2 - 2 ( FILTER) ‘

vALUE LABELS filter $ 0 ‘Not Selected’ 1 ‘Selected’FOWAT fllter_$ (fl–O)FILTER BY fllter_$

(

Mult responseGROUPS-

$alcons ‘ alcohol consequences 8(alcbel12 alchth2 alcfrnd2 ●lcspse2 alcrels2 alcpo12 alcaccs2alc]ob2 alcprob2 noalcpb2 (1))

$alcdep ‘alcohol dependence 8(alcdep2 alcsymp3 =1c1oc3 alcb~ng3 noalcdep (1))

/WI~LES- diagno3 (O 2) subsex (1 2) h~loalc3 (1 3) numbdls2 (O 2)flapfour (1 4) flaptwo (O 2) alcprob2 (O 2) alcdep2 ( O 2) -

lTASLES-$alcons by flapfour flaptwo/ $alcons by flapfour flaptwo by subsex/

s ‘9 $alcon s by hiloalc3/ $alcons by hiloalc3 by subsex/~ > $alcons by hiloalc3 by d3.agno3/

$alcons by hiloalc3 by diagno3 by subsexlBase - caseslCells - count row column

Mult responseGROUPS-$alcons ‘alcohol consequences’

(alcbel12 alchth2 alcfrnd2 alcspse2 alcrels2 ●lcP012 alcaccs2●lcjob2 alcprob2 noalcpb2 (1))

$alcdep ‘alcohol dependence’(alcdep2 alcsyTnp3 alcloc3 alcb1ng3 noalcdep (1))

/VARIABLES- dLagno3 (O 2) subsex (1 2) hlloalc3 (1 3) nuinbdls2 (O 2)flapfour (1 4) flaptwo (O 2) alcprob2 (O 2) alcdep2 ( O 2)

3, u/TNLEs-$alcons by ntidls2 / $alcons by numbdls2 by subsexl

5(“3 diagno3 by $alcons/ d~agno3 by ~alcons by stisex/ SA5E - cases/ Cells = count row column

Mult responseGROUPS-$alcons ‘●lcohol consequences’

(alcbel12 alchth2 ●lcfrnd2 alcspse2 alcrels2 alcp012 alcaccs2alcjob2 alcprob2 noalcpb2 (1))

$alcdep ‘alcohol dependence’(alcdep2 alcsymp3 alcloc3 alcbmg3 noalcdep (1))

/VARIABLES- diagno3 (O 2) subsex (1 2) h~loalc3 (1 3) numbd1s2 (O 2)flapfour (1 4) flaptwo (O 2) alcprob2 (O 2I alcdep2 ( O 2)

;SA /T-LEs-alcprob2 by alcdep2/ alcprob2 by alcdep2 by subsexl●lcprob2 by alcdep2 by diagno3/●lcprob2 by alcdep2 by dlagno3 by subsex/

Base - cases/Cells - count row column

(

USE ALLFILTER BY filter

MWLT RESPONSEGROUPS-$ drugs ‘drugs used In past year, 5+tliutS’( hash speed coke acid ●cstasy sleep tranx glue OPLUIO hero~nanydrug nodrug (1))

$druggrp ‘drugs in p yr, major groups’( hash stim halluc hypnot remdrug anydrug nOdrug (1I)$hashno ‘took hash in p yr or not’

~ ~~ (hash othdrug anydrug nodrug (1))/VARIABLES-subsex (1 2) agelOyr (1 5)/TABLES-$ drugs $druggrp by subsex/

$druggrp by agelOyr/

s-a $druggrp by agelOyr by subsex/cells - count row column/= E-cAsEs

~ I7_-.~---

L-

.

MULT RESPONSEGROUPS-$ drugs ‘drugs used In past year, 5+tlmes ‘( hash speed coke acid ecstasy sleep tranx glue opium heronanydrug nodrug (1))

185

$druggrp ‘drugs In p yr, ma]or groups t( hash stlm halluc hypnot remdrug anydrug nodrug (1))$hashno ‘took hash in p yr or not’(hash othdrug anydrug nodrug (1))$dlsorde ‘which neurot~c disorder present’(mad gad dep phob ocd panic (1))/VARIASLES-subsex (1 2) agelOyr (1 5) flapfour (1 4) flaptwo (1 2 )/TASLES-$drugs $druggrp by subsexl

$druggrp by $druggrpl

/cells - count row column/WE-c.4SES

MULT RESPONSEGROUPS-$ drugs ‘drugs used in past year, 5+tlmes’( hash speed coke acid ecstasy sleep tranx glue op~um heroinanydrug nodrug (1))

$druggrp ‘drugs Ln p yr, ma] or groups’( hash stim halluc hypnot remdrug ●nydrug nodrug [1))$hashno ‘took hash in p yr or not’(hash othdrug anydrug nodrug (1))$dlsorde ‘ which neurotic disorder present S(mad gad dep phob ocd pan~c (1I)/VARIRBLES-subsex (1 2) agelOyr (1 5) flapfour (1 4) flaptwo (O 2)

ntunbdls2 (O 2) dLagno3 ( O 2)

(/T-LES -

5- L9 $druggrp by flapfour flaptwo/$druggrp by flapfour flaptwo by subsex/

Sh $hashno by dngno3 $dlsorde/

S,31$hashno by diagno3 $dlsorde by subsex/$hashno by numbdls2/ $hashno by numbdls2 by subsex/

s= Dlagno3 by $hashnol dLagno3 by $hashno by subsex/cells - count row column/W E-CA.5ES

Comment to pick out base of drug takers

USE ALL .COMPUTE fllter_$- (fllter - 1 and anydrug - 1)WJ?IABLE ~EL fllter_$ ‘fllter - 1 and anydrug - 1 (FILTER I‘WUJJE LABELS fllter_$ O ‘ Not Selected’ 1 ‘Selected’FORMAT filter_$ (fl O)FILTER BY fllter_$

MULT RESPONSEGROUPS-Sdrugs ‘drugs used m past year, 5+tlmeS’( hash speed coke ●c~d ●cstasy sleep tranx glue opium heroin

Ez:g;!20ur(1/4j fz:w0(121

halluc hypnot emdrug ●nydrug n:~ti’ (1)1

/cells - count r columnISASE-CASES J

F(ULT RESPONSEGROUPS-$ drugs ‘drugs used n past year, 5+tlmes’( hash speed coke ac~d ecstasy sleep tranx glue opium heroinanydrug nodrug (1))

$druggrp ‘drugs m p yr, major groups’( hash stim halluc hypnot remdrug ●nydrug nodrug (11)

~.>~ ~~shno ‘took hash ,n p yr . . not,ash othdrug anydrug nodrug (1))

$dlsorde(

‘which neurotic dxsorder present’(mad gad dep phob ocd panic (1))/VARIZ@LES-subsex (1 2) agel Oyr (1 5) dlagno3 (O 2) anydrug (O 2)/TRBLES-$drugs $druggrp by subsex by anydrug

186 /.,11,-count row column/= E-cAsEs

crosstabs tables - othhash by hash / othst~m by stlm/

>~? Othhall by halluc/ othhyp by hypnot/ .threm by remdr”g/

#cells - count row column

( crosstabs tables - drgdep2 by subsex/

S-3’+drgdep2 by ●ge3yr /drgdep2 by dlagno3 /

X l.< drgdep2 by d~agno3 by subsex/drgprb2 by subsex/

s 39 drgprb2 by age3yr /drgprb2 by dngno3 /draDrb2 bv dnano3 bv subsex/ceii~ - c&nt ;OW cOi~.

crosstabs tables - drgdep2 drgprb2 by ●gel Oyr/cells - count row column

USE ALL.FILTER BY filter

crosstabs tables - anydrug by subsex agel Oyr dlagno3/cells - count row column.

crosstabs tables - cigglesr by subsex/clgglesr by agel Oyr/clgglesr by agel Oyr by subsex/ciggiesr by flap four flaptwo/clgglesr by flapfour flaptwo by subsex/cells - count row column

crosstabs tables - clgsmoke by subsex/clgsmoke by agel Oyr/clgsmoke by agelOyr by subsex/cigsmoke by flapfour flaptwo/cigsmoke by flapfour flaptwo by subsexicells - count row column.

MULT RESPONSE groups -

i3;gj:gg;%e:02’cLg’moke (12’/SASE-CA.5ES .

crosstabs tables -

3-Uclgglesr clgsmoke by numbd~s2/clgglesr cigsmoke by numbdls2 by subsex/

(.cells - count row column.

crosstab~ tables -clgglesr clgsmoke by d1agno3/

s%clgglesr c~gsmoke by d1agno3 by suJmex/cells - count row column

crosstabs tables -numbdis2 by cigglear/numbdis2 by clggLesr by subsex/

s-~~ cells . count row column

crosstabs tables -ntidis2 by cigsmokel

~ q? ntid~s2 by c~gsmoke by suhsex/cells - count row column

s 97crosstabs tables - clggrp2 anydrug by hiloalc4/

c1ggrp2 anydrug by hlloalc4 by dlagno3/cells - count row columm

(.

5-43crosstabs tables - h110alc4 cLggrp2 by anydrug/

hlloalc4 clggrp2 by anydrug by dlagno3/cells - count row column 187

crosstabs tables - hlloalc4 anydrug by clggrp2 ?I-~9 h~loalc4 anydrug by clggrp2 by d1agno3/

cells - count row column

crosstabs tables - hlloalc4 anydrug clggrp2 by diagno37;+ - cells - count row column.sti.

p~~crosstabs tables - drgdep2 drgprb2 by stisex age3yr/

drgdep2 drgprb2 by dLagno3/drgdep2 drgprb2 by dlagno3 by s ubsex,f

3.3rsubsex age3yr diagno3 by drgdep2 drgprb2 anydrug/diagno3 by clggiesr/

s ,qb dlagno3 by cigglesr by subsexlcells - count row column

++

Y-9freq Vars - dd15 dd15a dd16 dd16acrosstabs tables - dd15 dd15a dd16 dd16a by anydrug /

#* dd15 by anydrug by dngno3/cells - count row column

LOGISTICREGRESSIONalcl/t4ETHoD-FSTEP(WALD ) dLagno3

subsex ragelOyr ●thn1c4 qua14 famtypecworkstat manuorno accov4 tenure2 localltyl

contrast (diagno3 ) - IndLcator (1)/contrast (subsex) - Indicator/contrast (ragelOyr) - IndLcator (1)/contrast (ethnic4 ) - Indicator (1)/contrast (qua14 ) = lnd~cator (1)/contrast (fmntypec ) - ndlcator (1)/contrast (workstat ) - mdlcator (1)/contrast (manuorno ) - ndlcator (1)/contrast (accom4 ) - Lndlcator (1)/contrast (tenure2 ) - md~cator (1)/contrast (locallty ) - ndlcator/PRINT-s~Y/CRITERIA PIN( 05) POUT( 10) ITERATE

LOGISTIC REGRESSION alc4/KSTHOD-FSTEP IWALD) d~aano3

contrast

contrast

contrast

contrast

contrast

contrast

contrast

contrastcontrastcontrast

sub; ex ragelOyr ●thn~c4 qua14 famtypecworks tat manuorno accom4 tenure2 locallty/

(diagno3 ) - indicator (I)/(subsex) - Indicator/(ragelOyr) - indicator (1)/(ethn~c4 ) - indicator (1)/(qua14 ) - md~cator (1)/(famtypec ) - indicator (1)/(workstat ) - indicator (1)/(manuorno ) - IndLcator (1)/(accom4 ) - Indicator (1)/(tenure2 ) - indicator (1)/(localitv ) - mdlcatorcontrast

/PRINT-sWCS4URY -/CRITERIA PIN( .05) POuT(.Io) ITERATE

LOGISTIC REGRESS ION anydrug<-32. /WTMOD-FSTEp (WALD) d1agno3 hiloalc5

contrast

contrastcontrast

contrastcontrast

contrast

Lcontrastcontrast

188 ::::::::contrast

(dLagno3 )(hlloalc5)(subSex) -(ragelOyr)(ethn1c4 )(qua14 ) -

wb;ex ragelOyr ethnLc4 qua14 famtypecwo.ckstat manuorno accom4 tenure2 locallty/

- lndlcator (1)/ .*3

- urdLcator [1)/Indlcatorl- indicator (1)/- lndlcator (1)fIndicator (1)/

(famtypec ) - mdlcator (1)/(workstat ) - lndlcator (1)/(manuorno ) - Indicator (1)/(accorn4 ) - Lndlcator (1)/(tenure2 ) - xnd~cator (1)/

contrast (locallty ) - ndlcator/PRINT-SUFU44RY/CRITERIA PIN( 05) POUT( 10) ITERATE

LOGISTIC REGRESSION c~gsmoke/METHOD-FSTEP(WALD) dlagno3 hiloalc5 hashuse

contrast

contrast

contrast

contrastcontrast

contrast

contrastcontrastcontrastcontrastcontrast

contrast

sub~ex ragelOyr ethn~c4 qua14 famtypecworkstat manuorno accom4 tenure2 10calLtY/

(diagno3 ) - indxator (1)/(h~loalc5) - indicator (1)/(hashuse) - lndlcator (1)/(subsex) - indicator/(ragelOyr) - indicator (1)/(ethn~c4 ) - indicator (1)/(qua14 ) - *ndLcator(l) /(famtypec ) - indicator (1)/(works tat ) - ndlcator (1)/(manuorno ) - indicator (1)I[acc0m4 ) - indicator [1)I[tenure2) - indicator (1)/(localltv) - ndlcator

IPRINT-S-Y -/cRITERIA PIN (.05) POUT ( 10) ITEFIATE(20)

LOGISTIC REGRESSION diagno3

(hiloalc5 ) - ndlcator (1)/(hashuse)- lnd~cator (1)/(ciggrpl ) - deua~ton ( 1 ) /(subsex) - xnd~cator (1)/(ragelOyr) - indicator (1)/(ethnic4 ) - indicator (1)/(qua14 ) - indicator (1)/(famtypec ) - indicator (1)/(workstat ) - indicator (1)/(manuorno ) - Lndlcator [1)/(accom4 ) - Lndlcator (1)/(tenure2 ) - Indicator (1)/

METHOD-FSTEP (WALD) h~loalc5 hashuse clggrplsubsex ragelOyr ethnlc4 qua14 famtypecworkstat manuorno accord tenure2 10CalltY/

contrastcontrastcontrastcontrastcontrastcontrastcontrastcontrastcontrastcontrastcontrastcontrastcontrast (locallty ) - lndlcator

/PRINT-S~Y/CRITERIA PIN ( 05) POUT ( 10) ITERATE (20)

USE ALL .COMPUTE fllter_S- (filter - 1 and range (hLloalc, 3,7))VARIABLE MSEL f 11 ter_$ ‘ filter - 1 ●nd range (hlloalc, 3,7) (FILTER) ‘VALUE ~ELS fxlter_$ O ‘Not Selected’ 1 ‘Selected’FORMAT filter_S (fl O)FILTER BY fllter_S

LOGISTIC REGRESSION alcdep2/METHOD-FSTEP (w=D) diagno3 h~loalc5

subsex ragelOyr ●thnlc4 qua14 famtypecworks tat manuorno ●cc0m4 tenUre2 10Cavity/

contrast (diagno3 ) - indicator (1)/contrast (hlloalc5) - indicator (1)/contrast (subSex) - indicator/contrast (ragelOyr) - Indicator (1)/contrast (ethnic4 ) - indicator (1)/contrast (qua14 ) - Indicator 11)Icontrast ( famtypc ) - >ndicator (1)/contrast (workstat ) - mdlcator (1)/contrast (manuorno ) - indicator (1)Icontrast (accom4 ) - indicator (1)/ -contrast (tenure2 ) - Indicator (1)/contrast (local~ty ) - Lndlcator/PRINT-sUM4UY/cRITERIA PIN( 05) POUT ( 10) ITERATE

LOGISTIC REGRESSION alcprob2/MTHOO-FSTEP (wALD) d1agno3 h110alc5

subsex ragel Oyr ●thn1c4 qua14 famtypecworkstat manuorno accom4 tenUrC2 10calLtY/

contrast (dlagno3) - Indicator (1)/contrast (h110alc5) - Indicator (1)ICOntrast (subsex) - lndlcator/contrast (ragel Oyr) - ~ndlcator (1)/

189

contrast (ethnic4 ) - lncilc~t~r(1)7contrast (qua14 ) - md~cator [1)7contrast (famtypec ] - Indicator (1)fcontrast (workStat ) - lndlcator (1) /contrast [manuarno ) - Lndicator [1]/contrast (accom4 ) - indicator (1)/contrast (tenure2 ) - Indicator (1)/contrast llocallty ) - Indicator/PRINT-SUMMARY/CRITERIA PIN (.05) POUT( 10) ITERATE (201

USE ALLCOMPUTE filtar_S- ( filter - 1 and anydrug - 1).VARIABLE MBF,L i?ilter_$ !filter - 1 ●nd anydrug - 1 ( FILTER) ).VALUE LABELS fllter_$ O ‘Not Selected’ 1 ‘Selected’FONSAT filter_S (fl O)FILTER BY fllter_$

LOGISTICREGRESSION drgdep2S-%* hfsTHoD-F5TEP fWJUD) diaano3 hashuse h,10.k5

contrastcontrast

(contrastcontrastcontrastcontrastcontrastcontrastcontrastcontrastcontrast

contrast

sub;ex rage3yr ethnlc4 qua14 famtypecworkstatmanuorno accom4 tenure2 localltyl

(diagno3 ) - mdlcator (I)/(hashuse) - Lndlcator (1)/(h110alc5) - nd~cator (1)/(subsex) - mdlcator/(rage3yr) - indicator (1)/(ethn1c4 ) - Lndlcator (1)/(qua14 ) - lndlcator(ll f(famtypec ) - LndLcator (1)/(workstat ) - indicator (1)/(manuorno ) - Lndicator (1)/(accom4 ) - indicator (1)/(tenure2 ) - indicator (1)/

contrast (locality ) - mdlcator/PRINT-S~Y/CRITERIA PIN (.05) POUT ( 10) ITERATE (20)

~ .5% LOGISTIC su3GRESSION drgprb2

/METHOD-FSTEP (WALD) duano3 hashuse hiloalc5

contrast

contrast

contrast

contrast

contrast

contrast

contrast

contrast

contrast

contrast

contrast

contrast

sub; ex rage3yr ethnLc4 qua14 famtypecworkstat manuorno accom4 tenure2 locality/

(dlagno3 ) - lndlcator (1)/(hashuse ) - mdlcator (1)/(hlloalc5) - mdlcator (1)/(subsex) - mdLcator/(rag*3yrl - lndlcator (1)/(ethnic4 ) - xndicator (1)/(qua14 ) - mdlcator (1)/(famtypec ) - mid~cator ( 1)/(workstat ) - Indacator [1)/(manuorno ) - lnd~cator (1)/(accom4 ) - Lndlcator (1)I(tenure2 ) - ndicator (1)/(localitv ) - indacator

/PRINT-SUMW@Y -/cRITERIA PIN( .05) POUT( 10) ITFAATE(20)

pac335doc.ukdataservice.ac.uk/doc/3560/mrdoc/pdf/a3560dab.pdfgus mus inf blo ski oth men dkna nonmen...

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