Interpreting SF-12 mental component score: an investigation of its convergent validity with CESD-10

Objective To examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologie Studies Depression Scale (CESD-10). The CESD-10 is a screening tool for probably clinically significant depression in the Chinese population. Methods Data were ob...

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Published inQuality of life research Vol. 24; no. 9; pp. 2209 - 2217
Main Authors Yu, Doris S. F., Yan, Elsie C. W., Chow, Choi Kai
Format Journal Article
LanguageEnglish
Published Cham Springer 01.09.2015
Springer International Publishing
Springer Nature B.V
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Abstract Objective To examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologie Studies Depression Scale (CESD-10). The CESD-10 is a screening tool for probably clinically significant depression in the Chinese population. Methods Data were obtained from a household survey carried out in Hong Kong. A two-stage stratified sampling method successfully interviewed 1795 adult subjects from 1239 households. Data on SF-12 MCS and the CESD-10 were extracted. Receiver operating characteristics (ROC) analyses were performed to examine the convergent validity of SF-12 MCS against the CESD-10 threshold for probably clinically significant depression for the younger to middle-aged, late middle-aged and older population cohorts. Results ROC analysis indicated the excellent convergent validity of SF-12 MCS with the CESD-10 threshold for identifying probably clinically significant depression, with the area under curve ranged from 0.81 to 0.85. The optimal cutoff scores for depression among the younger to middle age group, late middle age group and older age group were 48.1, 50.2 and 50.2, respectively, with sensitivities ranged from 77 to 83 % and specificities ranged from 73 to 78 %. Bootstrapping estimates of the mean difference indicated no significant difference in the optimal cutoff scores between these age cohorts. Conclusion SF-12 is a widely adopted measure to capture the health profile of Chinese population. The study findings indicated the satisfactory performance of the SF-12 MCS in identifying probably clinical depression. Future study is warrant to examine the diagnostic validity of the SF-12 MCS by using gold standard to assess clinical depression.
AbstractList OBJECTIVETo examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologic Studies Depression Scale (CESD-10). The CESD-10 is a screening tool for probably clinically significant depression in the Chinese population.METHODSData were obtained from a household survey carried out in Hong Kong. A two-stage stratified sampling method successfully interviewed 1795 adult subjects from 1239 households. Data on SF-12 MCS and the CESD-10 were extracted. Receiver operating characteristics (ROC) analyses were performed to examine the convergent validity of SF-12 MCS against the CESD-10 threshold for probably clinically significant depression for the younger to middle-aged, late middle-aged and older population cohorts.RESULTSROC analysis indicated the excellent convergent validity of SF-12 MCS with the CESD-10 threshold for identifying probably clinically significant depression, with the area under curve ranged from 0.81 to 0.85. The optimal cutoff scores for depression among the younger to middle age group, late middle age group and older age group were 48.1, 50.2 and 50.2, respectively, with sensitivities ranged from 77 to 83 % and specificities ranged from 73 to 78 %. Bootstrapping estimates of the mean difference indicated no significant difference in the optimal cutoff scores between these age cohorts.CONCLUSIONSF-12 is a widely adopted measure to capture the health profile of Chinese population. The study findings indicated the satisfactory performance of the SF-12 MCS in identifying probably clinical depression. Future study is warrant to examine the diagnostic validity of the SF-12 MCS by using gold standard to assess clinical depression.
Objective To examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologie Studies Depression Scale (CESD-10). The CESD-10 is a screening tool for probably clinically significant depression in the Chinese population. Methods Data were obtained from a household survey carried out in Hong Kong. A two-stage stratified sampling method successfully interviewed 1795 adult subjects from 1239 households. Data on SF-12 MCS and the CESD-10 were extracted. Receiver operating characteristics (ROC) analyses were performed to examine the convergent validity of SF-12 MCS against the CESD-10 threshold for probably clinically significant depression for the younger to middle-aged, late middle-aged and older population cohorts. Results ROC analysis indicated the excellent convergent validity of SF-12 MCS with the CESD-10 threshold for identifying probably clinically significant depression, with the area under curve ranged from 0.81 to 0.85. The optimal cutoff scores for depression among the younger to middle age group, late middle age group and older age group were 48.1, 50.2 and 50.2, respectively, with sensitivities ranged from 77 to 83 % and specificities ranged from 73 to 78 %. Bootstrapping estimates of the mean difference indicated no significant difference in the optimal cutoff scores between these age cohorts. Conclusion SF-12 is a widely adopted measure to capture the health profile of Chinese population. The study findings indicated the satisfactory performance of the SF-12 MCS in identifying probably clinical depression. Future study is warrant to examine the diagnostic validity of the SF-12 MCS by using gold standard to assess clinical depression.
To examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologic Studies Depression Scale (CESD-10). The CESD-10 is a screening tool for probably clinically significant depression in the Chinese population. Data were obtained from a household survey carried out in Hong Kong. A two-stage stratified sampling method successfully interviewed 1795 adult subjects from 1239 households. Data on SF-12 MCS and the CESD-10 were extracted. Receiver operating characteristics (ROC) analyses were performed to examine the convergent validity of SF-12 MCS against the CESD-10 threshold for probably clinically significant depression for the younger to middle-aged, late middle-aged and older population cohorts. ROC analysis indicated the excellent convergent validity of SF-12 MCS with the CESD-10 threshold for identifying probably clinically significant depression, with the area under curve ranged from 0.81 to 0.85. The optimal cutoff scores for depression among the younger to middle age group, late middle age group and older age group were 48.1, 50.2 and 50.2, respectively, with sensitivities ranged from 77 to 83 % and specificities ranged from 73 to 78 %. Bootstrapping estimates of the mean difference indicated no significant difference in the optimal cutoff scores between these age cohorts. SF-12 is a widely adopted measure to capture the health profile of Chinese population. The study findings indicated the satisfactory performance of the SF-12 MCS in identifying probably clinical depression. Future study is warrant to examine the diagnostic validity of the SF-12 MCS by using gold standard to assess clinical depression.
To examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologic Studies Depression Scale (CESD-10). The CESD-10 is a screening tool for probably clinically significant depression in the Chinese population. Data were obtained from a household survey carried out in Hong Kong. A two-stage stratified sampling method successfully interviewed 1795 adult subjects from 1239 households. Data on SF-12 MCS and the CESD-10 were extracted. Receiver operating characteristics (ROC) analyses were performed to examine the convergent validity of SF-12 MCS against the CESD-10 threshold for probably clinically significant depression for the younger to middle-aged, late middle-aged and older population cohorts. ROC analysis indicated the excellent convergent validity of SF-12 MCS with the CESD-10 threshold for identifying probably clinically significant depression, with the area under curve ranged from 0.81 to 0.85. The optimal cutoff scores for depression among the younger to middle age group, late middle age group and older age group were 48.1, 50.2 and 50.2, respectively, with sensitivities ranged from 77 to 83 % and specificities ranged from 73 to 78 %. Bootstrapping estimates of the mean difference indicated no significant difference in the optimal cutoff scores between these age cohorts. SF-12 is a widely adopted measure to capture the health profile of Chinese population. The study findings indicated the satisfactory performance of the SF-12 MCS in identifying probably clinical depression. Future study is warrant to examine the diagnostic validity of the SF-12 MCS by using gold standard to assess clinical depression.
Objective To examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologic Studies Depression Scale (CESD-10). The CESD-10 is a screening tool for probably clinically significant depression in the Chinese population. Methods Data were obtained from a household survey carried out in Hong Kong. A two-stage stratified sampling method successfully interviewed 1795 adult subjects from 1239 households. Data on SF-12 MCS and the CESD-10 were extracted. Receiver operating characteristics (ROC) analyses were performed to examine the convergent validity of SF-12 MCS against the CESD-10 threshold for probably clinically significant depression for the younger to middle-aged, late middle-aged and older population cohorts. Results ROC analysis indicated the excellent convergent validity of SF-12 MCS with the CESD-10 threshold for identifying probably clinically significant depression, with the area under curve ranged from 0.81 to 0.85. The optimal cutoff scores for depression among the younger to middle age group, late middle age group and older age group were 48.1, 50.2 and 50.2, respectively, with sensitivities ranged from 77 to 83 % and specificities ranged from 73 to 78 %. Bootstrapping estimates of the mean difference indicated no significant difference in the optimal cutoff scores between these age cohorts. Conclusion SF-12 is a widely adopted measure to capture the health profile of Chinese population. The study findings indicated the satisfactory performance of the SF-12 MCS in identifying probably clinical depression. Future study is warrant to examine the diagnostic validity of the SF-12 MCS by using gold standard to assess clinical depression.
Author Yan, Elsie C. W.
Chow, Choi Kai
Yu, Doris S. F.
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  fullname: Yan, Elsie C. W.
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  givenname: Choi Kai
  surname: Chow
  fullname: Chow, Choi Kai
BackLink https://www.ncbi.nlm.nih.gov/pubmed/25786886$$D View this record in MEDLINE/PubMed
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Issue 9
Keywords Depression
Adult Chinese population
Short-Form 12 Health Survey
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PublicationDate 2015-09-01
PublicationDateYYYYMMDD 2015-09-01
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  day: 01
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PublicationSubtitle An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation - Official Journal of the International Society of Quality of Life Research
PublicationTitle Quality of life research
PublicationTitleAbbrev Qual Life Res
PublicationTitleAlternate Qual Life Res
PublicationYear 2015
Publisher Springer
Springer International Publishing
Springer Nature B.V
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References SullivanPWGhushchyanVMapping the EQ-5D Index from the SF-12Medical Decisions Making20062640140910.1177/0272989X06290496
WareJEKosinskiWKellerSDSF-12: How to score the SF-12 Physical and Mental Health Summary Scores1998Boston, MAThe Health Institute, New England Medical Center
WareJESnowKKKosinskiMGandekBHealth survey manual and interpretation guide1993BostonThe Health Institute
KalibatsevaZLeongFTLDepression among Asian Americans: Review and recommendationsDepression Research and Treatment2011318082021961060
BaltesPBBaltesMMBaltesMMPsychological perspectives on successful aging. The model of selective optimization with compensationSuccessful aging: Perspectives from behavioral science1990Cambridge, MACambridge University Press13410.1017/CBO9780511665684.003
WindsorTDRodgersBButterworthPAnsteyKJJormAFMeasuring physical and mental health using the SF-12: Implications for community surveys of mental healthAustralian and New Zealand Journal of Psychiatry2006407978031691175610.1080/j.1440-1614.2006.01886.x
VilagutGForeroCGPinto-MezaAHaroJMde GraafRBruffaertsRKovessVde GirolamoGMatschingerHFerrerMAlonsoJThe mental component of the Short-Form 12 Health Survey (SF-12) as a measure of depressive disorders in the general population: Results with three alternative scoring methodsValue in Health2013165645732379629010.1016/j.jval.2013.01.006
LamCLKTseEYYGandekBFongDYTThe SF-36 summary scales were valid, reliable, and equivalent in a Chinese populationJournal of Clinical Epidemiology2005588158221601891710.1016/j.jclinepi.2004.12.008
NanHLeePHMcDowellINiMYStewartSMLamTHDepressive symptoms in people with chronic physical conditions: Prevalence and risk factors in a Hong Kong community sampleBMC Psychiatry20121219835345212315121710.1186/1471-244X-12-198
Kim, S. H., Kim, S. O., Lee, S. I., & Jo, M. W. (2014). Deriving a mapping algorithm for converting SF-36 scores to EQ-5D utility score in a Korean population. Health and Quality of Life Outcomes, 12, 145.
LamCLKTseEYYGandekBIs the standard SF-12 Health Survey valid and equivalent for a Chinese population?Quality of Life Research2005145395471589244310.1007/s11136-004-0704-3
American Psychiatric AssociationDiagnostic and statistical manual of mental disorders20094Washington, DCAmerican Psychiatric Association
ChengSTChanACMThe Center for Epidemiologic Studies Depression Scale in older Chinese: Thresholds for long and short formsInternational Journal of Geriatric Psychiatry2005204654701585243910.1002/gps.1314
Ware, J. E., & Gandek, B. (1998). Overview of the SF-36 Health Survey and the International Quality of Life Assessment (IQOLA) Project. Journal of Clinical Epidemiology, 51(11), 903–912.
LamCLKWongCKHLamELPLoYYCHuangWWPopulation norm of Chinese (HK) SF-12 health survey_version 2 of Chinese adults in Hong KongHong Kong Practitioner2010327786
Blanchard-FieldsFEveryday problem solving and emotion: An adult developmental perspectiveCurrent Directions in Psychological Science200716263110.1111/j.1467-8721.2007.00469.x
Larson, C. O., Schlundt, D., Patel, K., Beard, K., & Hargreaves, M. (2008). Validity of the SF-12 for use in a low income African American community-based research initiative (REACJ 2010). Preventing Chronic Disease, 5(2). http://www.cdc.gov/pcd/issues/2008/apr/07_0051.htm. Accessed on February 28, 2015.
LamCLGandekBCross-cultural adaptation of the SF-36 and SF-12 physical and mental summary scales on the Chinese population [Abstract]Quality of Life Research200110283
ChengSTChanACMDetecting depression in Chinese adults with mild dementia: Findings with two versions of the Center for Epidemiologic Studies Depression ScalePsychiatry Research200815944491834679310.1016/j.psychres.2007.06.023
Census and Statistics Department. (2014). Hong Kong Administrative Region Government. Hong Kong Fact Sheets. Hong Kong: Information Service Department.
CarstensenLLMikelsJAMatherMBirrenJESchaieKWAging and the intersection of cognition, motivation and emotionHandbook of the psychology of aging2006San Diego, CAAcademic Press34336210.1016/B978-012101264-9/50018-5
GillSCButterworthPRodgersBMackinnonAValidity of the mental health component scale of the 12-item Short-Form Health Survey (MCS-12) as measure of common mental disorders in the general populationPsychiatry Research200715263711739527210.1016/j.psychres.2006.11.005
KveldeTMcVeighCTosonBGreenawayMLordSRDelbaereKCloseJCTDepressive symptomatology as a risk factor for falls in older people: Systematic review and meta-analysisJournal of the American Geriatrics Society2013616947062361761410.1111/jgs.12209
AmirMLewin-EpsteinNBeckerGBuskilaDPsychometric properties of the SF-12 (Hebew Version) in a primary care population in IsraelMedical Care20021091892810.1097/00005650-200210000-00009
GandekBWareJEAaronsonNKApoloneGBjornerJBBrazierJEBullingerMKaasaSLeplegeAPrietoLSullivanMCross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: Results from the IQOLA ProjectJournal of Clinical Epidemiology199851117111781:STN:280:DyaK1M%2Fjt1Shtw%3D%3D981713510.1016/S0895-4356(98)00109-7
HosmerDWLemeshowSApplied logistic regression2000New YorkWiley10.1002/0471722146
CarstensenLLMikelsJAAt the intersection of emotion and cognition: Aging and the positivity effectCurrent Directions in Psychological Science20051411712110.1111/j.0963-7214.2005.00348.x
Mental Healthy. (2010). First mental health survey for Hong Kong. http://www.mentalhealthy.co.uk/news.476-first-mental-health-sruvey-for-hong-kog.html. Access online May 29, 2014.
MolsFPelleAJKupperNNormative data of the SF-12 health survey with validation using postmyocardial infarction patients in the Dutch populationQuality of Life Research2009184034141924282210.1007/s11136-009-9455-5
SilveiraETaftCSundhVWaernSPalssonSSteenBPerformance of the SF-36 Health Survey in screening for depression and anxiety disorders in an elderly female Swedish populationQuality of Life Research200514126312741:STN:280:DC%2BD2MzovV2gsw%3D%3D1604750210.1007/s11136-004-7753-5
GarciaMRohlfsIVilaJSalaJPenaAMasiaRMarrugutJInvestigatorsREGICORComparison between telephone and self-administration of Short From Health Survey Questionnaire (SF-36)Gaceta Sanitaria2005194334391648352010.1016/S0213-9111(05)71393-5
World Health OrganizationThe ICD-10 classification of mental and behavioral disorders: Diagnostic criteria for research1993GenevaWorld Health Organization
BoeyKWCross-validation of a short form of the CES-D in Chinese elderlyInternational Journal of Geriatric Psychiatry1999146086171:STN:280:DyaK1MvhvFCqtQ%3D%3D1048965110.1002/(SICI)1099-1166(199908)14:8<608::AID-GPS991>3.0.CO;2-Z
PhilipsMRZhangJShiQSongZDingZPangZLiXZhangYWangZPrevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001–2005; An epidemiological surveyLancet20093732041205310.1016/S0140-6736(09)60660-7
EfronBBetter bootstrap confidence intervalsJournal of the American Statistical Association19878217118510.1080/01621459.1987.10478410
YuDSFLeeDTFDo medically unexplained somatic symptoms predict depression in older Chinese?International Journal of Geriatric Psychiatry2012271191262222314410.1002/gps.2692
KesslerRCBrometEJThe epidemiology of depression across culturesThe Annual Review of Public Health2013341191382351431710.1146/annurev-publhealth-031912-114409
KleinmanACulture and depressionNew England Journal of Medicine20043519519531:CAS:528:DC%2BD2cXnt12nur8%3D1534279910.1056/NEJMp048078
ZhuYZhangLFanJHanSNeural basis of cultural influence on self-representationNeuroImage200734131013161713491510.1016/j.neuroimage.2006.08.047
KazamaMKondoNSuzukiKMinaiJImaiHYamagataZEarly impact of depression symptoms on the decline in activities of daily living among older Japanese: Y-HALE cohort studyEnvironmental Health and Preventive Medicine20111619620130782882143179410.1007/s12199-010-0186-6
AveryJDal GrandeETaylorAQuality of life in South Australia as measured by the SF12 Health Status Questionnaire2004South AustraliaPopulation Research and Outcome Studies Unit, Department of Human Services
MontazeriAVahdaniniaMMousaviSJAsadi-LariMOmidvariSTavousiMThe 12-item medical outcomes study short form health survey version 2.0 (SF-12vs): A population-based validation study from Tehran, IranHealth and Quality of Life Outcomes2011306318521385359
WareJEKosinskiWKellerSDA 12-Item Short-Form Health Survey: Construction of scales and preliminary tests of reliability and validityMedical Care199634220233862804210.1097/00005650-199603000-00003
Y Zhu (959_CR43) 2007; 34
T Kvelde (959_CR22) 2013; 61
KW Boey (959_CR6) 1999; 14
CLK Lam (959_CR26) 2010; 32
959_CR9
SC Gill (959_CR15) 2007; 152
CLK Lam (959_CR25) 2005; 58
PW Sullivan (959_CR34) 2006; 26
JE Ware (959_CR38) 1998
MR Philips (959_CR32) 2009; 373
ST Cheng (959_CR10) 2005; 20
CL Lam (959_CR23) 2001; 10
LL Carstensen (959_CR7) 2005; 14
B Gandek (959_CR13) 1998; 51
JE Ware (959_CR37) 1996; 34
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M Amir (959_CR2) 2002; 10
A Kleinman (959_CR20) 2004; 351
CLK Lam (959_CR24) 2005; 14
Z Kalibatseva (959_CR17) 2011
G Vilagut (959_CR35) 2013; 16
TD Windsor (959_CR40) 2006; 40
J Avery (959_CR3) 2004
JE Ware (959_CR39) 1993
World Health Organization (959_CR41) 1993
DW Hosmer (959_CR16) 2000
LL Carstensen (959_CR8) 2006
RC Kessler (959_CR19) 2013; 34
M Garcia (959_CR14) 2005; 19
F Blanchard-Fields (959_CR5) 2007; 16
E Silveira (959_CR33) 2005; 14
ST Cheng (959_CR11) 2008; 159
PB Baltes (959_CR4) 1990
H Nan (959_CR31) 2012; 12
DSF Yu (959_CR42) 2012; 27
F Mols (959_CR29) 2009; 18
American Psychiatric Association (959_CR1) 2009
959_CR21
959_CR28
A Montazeri (959_CR30) 2011
959_CR27
M Kazama (959_CR18) 2011; 16
B Efron (959_CR12) 1987; 82
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References_xml – reference: WindsorTDRodgersBButterworthPAnsteyKJJormAFMeasuring physical and mental health using the SF-12: Implications for community surveys of mental healthAustralian and New Zealand Journal of Psychiatry2006407978031691175610.1080/j.1440-1614.2006.01886.x
– reference: MolsFPelleAJKupperNNormative data of the SF-12 health survey with validation using postmyocardial infarction patients in the Dutch populationQuality of Life Research2009184034141924282210.1007/s11136-009-9455-5
– reference: HosmerDWLemeshowSApplied logistic regression2000New YorkWiley10.1002/0471722146
– reference: World Health OrganizationThe ICD-10 classification of mental and behavioral disorders: Diagnostic criteria for research1993GenevaWorld Health Organization
– reference: Census and Statistics Department. (2014). Hong Kong Administrative Region Government. Hong Kong Fact Sheets. Hong Kong: Information Service Department.
– reference: LamCLKTseEYYGandekBIs the standard SF-12 Health Survey valid and equivalent for a Chinese population?Quality of Life Research2005145395471589244310.1007/s11136-004-0704-3
– reference: BaltesPBBaltesMMBaltesMMPsychological perspectives on successful aging. The model of selective optimization with compensationSuccessful aging: Perspectives from behavioral science1990Cambridge, MACambridge University Press13410.1017/CBO9780511665684.003
– reference: American Psychiatric AssociationDiagnostic and statistical manual of mental disorders20094Washington, DCAmerican Psychiatric Association
– reference: YuDSFLeeDTFDo medically unexplained somatic symptoms predict depression in older Chinese?International Journal of Geriatric Psychiatry2012271191262222314410.1002/gps.2692
– reference: ChengSTChanACMThe Center for Epidemiologic Studies Depression Scale in older Chinese: Thresholds for long and short formsInternational Journal of Geriatric Psychiatry2005204654701585243910.1002/gps.1314
– reference: SullivanPWGhushchyanVMapping the EQ-5D Index from the SF-12Medical Decisions Making20062640140910.1177/0272989X06290496
– reference: SilveiraETaftCSundhVWaernSPalssonSSteenBPerformance of the SF-36 Health Survey in screening for depression and anxiety disorders in an elderly female Swedish populationQuality of Life Research200514126312741:STN:280:DC%2BD2MzovV2gsw%3D%3D1604750210.1007/s11136-004-7753-5
– reference: ChengSTChanACMDetecting depression in Chinese adults with mild dementia: Findings with two versions of the Center for Epidemiologic Studies Depression ScalePsychiatry Research200815944491834679310.1016/j.psychres.2007.06.023
– reference: WareJEKosinskiWKellerSDSF-12: How to score the SF-12 Physical and Mental Health Summary Scores1998Boston, MAThe Health Institute, New England Medical Center
– reference: LamCLGandekBCross-cultural adaptation of the SF-36 and SF-12 physical and mental summary scales on the Chinese population [Abstract]Quality of Life Research200110283
– reference: KalibatsevaZLeongFTLDepression among Asian Americans: Review and recommendationsDepression Research and Treatment2011318082021961060
– reference: LamCLKWongCKHLamELPLoYYCHuangWWPopulation norm of Chinese (HK) SF-12 health survey_version 2 of Chinese adults in Hong KongHong Kong Practitioner2010327786
– reference: PhilipsMRZhangJShiQSongZDingZPangZLiXZhangYWangZPrevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001–2005; An epidemiological surveyLancet20093732041205310.1016/S0140-6736(09)60660-7
– reference: Mental Healthy. (2010). First mental health survey for Hong Kong. http://www.mentalhealthy.co.uk/news.476-first-mental-health-sruvey-for-hong-kog.html. Access online May 29, 2014.
– reference: WareJEKosinskiWKellerSDA 12-Item Short-Form Health Survey: Construction of scales and preliminary tests of reliability and validityMedical Care199634220233862804210.1097/00005650-199603000-00003
– reference: GandekBWareJEAaronsonNKApoloneGBjornerJBBrazierJEBullingerMKaasaSLeplegeAPrietoLSullivanMCross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: Results from the IQOLA ProjectJournal of Clinical Epidemiology199851117111781:STN:280:DyaK1M%2Fjt1Shtw%3D%3D981713510.1016/S0895-4356(98)00109-7
– reference: GillSCButterworthPRodgersBMackinnonAValidity of the mental health component scale of the 12-item Short-Form Health Survey (MCS-12) as measure of common mental disorders in the general populationPsychiatry Research200715263711739527210.1016/j.psychres.2006.11.005
– reference: KesslerRCBrometEJThe epidemiology of depression across culturesThe Annual Review of Public Health2013341191382351431710.1146/annurev-publhealth-031912-114409
– reference: LamCLKTseEYYGandekBFongDYTThe SF-36 summary scales were valid, reliable, and equivalent in a Chinese populationJournal of Clinical Epidemiology2005588158221601891710.1016/j.jclinepi.2004.12.008
– reference: KleinmanACulture and depressionNew England Journal of Medicine20043519519531:CAS:528:DC%2BD2cXnt12nur8%3D1534279910.1056/NEJMp048078
– reference: AveryJDal GrandeETaylorAQuality of life in South Australia as measured by the SF12 Health Status Questionnaire2004South AustraliaPopulation Research and Outcome Studies Unit, Department of Human Services
– reference: AmirMLewin-EpsteinNBeckerGBuskilaDPsychometric properties of the SF-12 (Hebew Version) in a primary care population in IsraelMedical Care20021091892810.1097/00005650-200210000-00009
– reference: KveldeTMcVeighCTosonBGreenawayMLordSRDelbaereKCloseJCTDepressive symptomatology as a risk factor for falls in older people: Systematic review and meta-analysisJournal of the American Geriatrics Society2013616947062361761410.1111/jgs.12209
– reference: Larson, C. O., Schlundt, D., Patel, K., Beard, K., & Hargreaves, M. (2008). Validity of the SF-12 for use in a low income African American community-based research initiative (REACJ 2010). Preventing Chronic Disease, 5(2). http://www.cdc.gov/pcd/issues/2008/apr/07_0051.htm. Accessed on February 28, 2015.
– reference: GarciaMRohlfsIVilaJSalaJPenaAMasiaRMarrugutJInvestigatorsREGICORComparison between telephone and self-administration of Short From Health Survey Questionnaire (SF-36)Gaceta Sanitaria2005194334391648352010.1016/S0213-9111(05)71393-5
– reference: CarstensenLLMikelsJAAt the intersection of emotion and cognition: Aging and the positivity effectCurrent Directions in Psychological Science20051411712110.1111/j.0963-7214.2005.00348.x
– reference: Ware, J. E., & Gandek, B. (1998). Overview of the SF-36 Health Survey and the International Quality of Life Assessment (IQOLA) Project. Journal of Clinical Epidemiology, 51(11), 903–912.
– reference: WareJESnowKKKosinskiMGandekBHealth survey manual and interpretation guide1993BostonThe Health Institute
– reference: KazamaMKondoNSuzukiKMinaiJImaiHYamagataZEarly impact of depression symptoms on the decline in activities of daily living among older Japanese: Y-HALE cohort studyEnvironmental Health and Preventive Medicine20111619620130782882143179410.1007/s12199-010-0186-6
– reference: VilagutGForeroCGPinto-MezaAHaroJMde GraafRBruffaertsRKovessVde GirolamoGMatschingerHFerrerMAlonsoJThe mental component of the Short-Form 12 Health Survey (SF-12) as a measure of depressive disorders in the general population: Results with three alternative scoring methodsValue in Health2013165645732379629010.1016/j.jval.2013.01.006
– reference: MontazeriAVahdaniniaMMousaviSJAsadi-LariMOmidvariSTavousiMThe 12-item medical outcomes study short form health survey version 2.0 (SF-12vs): A population-based validation study from Tehran, IranHealth and Quality of Life Outcomes2011306318521385359
– reference: CarstensenLLMikelsJAMatherMBirrenJESchaieKWAging and the intersection of cognition, motivation and emotionHandbook of the psychology of aging2006San Diego, CAAcademic Press34336210.1016/B978-012101264-9/50018-5
– reference: BoeyKWCross-validation of a short form of the CES-D in Chinese elderlyInternational Journal of Geriatric Psychiatry1999146086171:STN:280:DyaK1MvhvFCqtQ%3D%3D1048965110.1002/(SICI)1099-1166(199908)14:8<608::AID-GPS991>3.0.CO;2-Z
– reference: EfronBBetter bootstrap confidence intervalsJournal of the American Statistical Association19878217118510.1080/01621459.1987.10478410
– reference: Kim, S. H., Kim, S. O., Lee, S. I., & Jo, M. W. (2014). Deriving a mapping algorithm for converting SF-36 scores to EQ-5D utility score in a Korean population. Health and Quality of Life Outcomes, 12, 145.
– reference: NanHLeePHMcDowellINiMYStewartSMLamTHDepressive symptoms in people with chronic physical conditions: Prevalence and risk factors in a Hong Kong community sampleBMC Psychiatry20121219835345212315121710.1186/1471-244X-12-198
– reference: Blanchard-FieldsFEveryday problem solving and emotion: An adult developmental perspectiveCurrent Directions in Psychological Science200716263110.1111/j.1467-8721.2007.00469.x
– reference: ZhuYZhangLFanJHanSNeural basis of cultural influence on self-representationNeuroImage200734131013161713491510.1016/j.neuroimage.2006.08.047
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  doi: 10.1186/1471-244X-12-198
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  doi: 10.1016/S0895-4356(98)00109-7
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  publication-title: Current Directions in Psychological Science
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Snippet Objective To examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologie Studies Depression...
Objective To examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologic Studies Depression...
To examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologic Studies Depression Scale...
OBJECTIVETo examine the convergent validity of Mental Component Scale of the Short-Form 12 (SF-12 MCS) with the Center for Epidemiologic Studies Depression...
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SubjectTerms Adolescent
Adult
Age groups
Aged
Aged, 80 and over
Asian Continental Ancestry Group
Depression - diagnosis
Depression - psychology
Depressive Disorder - diagnosis
Depressive Disorder - psychology
Disease
Female
Health Surveys
Hong Kong
Households
Humans
INSTRUMENT DEVELOPMENT
Interviews
Male
Medicine
Medicine & Public Health
Mental depression
Mental disorders
Mental health
Middle age
Middle Aged
Nursing schools
Performance evaluation
Polls & surveys
Population
Public Health
Quality of Life - psychology
Quality of Life Research
Sensitivity and Specificity
Sociology
Surveillance
Validity
Young Adult
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Title Interpreting SF-12 mental component score: an investigation of its convergent validity with CESD-10
URI https://www.jstor.org/stable/44849316
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Volume 24
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