File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices

TitleWaist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices
Authors
KeywordsAnthropometry
Cardiovascular Risk Factors
Cross-sectional Studies
Hong Kong
Obesity
Issue Date2003
PublisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/annepidem
Citation
Annals Of Epidemiology, 2003, v. 13 n. 10, p. 683-691 How to Cite?
AbstractPURPOSE: To determine which is the best anthropometric index among body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR) and waist to stature ratio (WSR) in relation to cardiovascular risk factors. METHODS: A representative sample of 2895 Hong Kong Chinese aged 25 to 74 years received medical examinations in 1995 and 1996. Anthropometric indices and cardiovascular risk factors in blood were measured, and partial correlation and Receiver Operator Characteristic (ROC) curves were used in analysis. RESULTS: Among 11 cardiovascular risk factors in partial correlation analysis, including ties WSR had the highest r in 6 in men, and 5 in women; followed by WC with 4 in men and 6 in women. In ROC analyses of 21 risk factors and health conditions, the area under curve (AUC) of WSR was the largest for most (13 of 21) factors in men and 10 in women; followed by WHR with 14 in women but only 5 in men. The optimal WSR cutoff value was 0.48 for both men and women. CONCLUSION: WSR is the best simple anthropometric index in predicting a wide range of cardiovascular risk factors and related health conditions. A simple message that one's waist circumference should not exceed half the stature is recommended for the public. © 2003 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/86562
ISSN
2021 Impact Factor: 6.996
2020 SCImago Journal Rankings: 1.644
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorHo, SYen_HK
dc.contributor.authorLam, THen_HK
dc.contributor.authorJanus, EDen_HK
dc.date.accessioned2010-09-06T09:18:33Z-
dc.date.available2010-09-06T09:18:33Z-
dc.date.issued2003en_HK
dc.identifier.citationAnnals Of Epidemiology, 2003, v. 13 n. 10, p. 683-691en_HK
dc.identifier.issn1047-2797en_HK
dc.identifier.urihttp://hdl.handle.net/10722/86562-
dc.description.abstractPURPOSE: To determine which is the best anthropometric index among body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR) and waist to stature ratio (WSR) in relation to cardiovascular risk factors. METHODS: A representative sample of 2895 Hong Kong Chinese aged 25 to 74 years received medical examinations in 1995 and 1996. Anthropometric indices and cardiovascular risk factors in blood were measured, and partial correlation and Receiver Operator Characteristic (ROC) curves were used in analysis. RESULTS: Among 11 cardiovascular risk factors in partial correlation analysis, including ties WSR had the highest r in 6 in men, and 5 in women; followed by WC with 4 in men and 6 in women. In ROC analyses of 21 risk factors and health conditions, the area under curve (AUC) of WSR was the largest for most (13 of 21) factors in men and 10 in women; followed by WHR with 14 in women but only 5 in men. The optimal WSR cutoff value was 0.48 for both men and women. CONCLUSION: WSR is the best simple anthropometric index in predicting a wide range of cardiovascular risk factors and related health conditions. A simple message that one's waist circumference should not exceed half the stature is recommended for the public. © 2003 Elsevier Inc. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/annepidemen_HK
dc.relation.ispartofAnnals of Epidemiologyen_HK
dc.rightsAnnals of Epidemiology. Copyright © Elsevier Inc.en_HK
dc.subjectAnthropometry-
dc.subjectCardiovascular Risk Factors-
dc.subjectCross-sectional Studies-
dc.subjectHong Kong-
dc.subjectObesity-
dc.subject.meshAdulten_HK
dc.subject.meshAgeden_HK
dc.subject.meshAnthropometryen_HK
dc.subject.meshBody Compositionen_HK
dc.subject.meshBody Constitutionen_HK
dc.subject.meshBody Mass Indexen_HK
dc.subject.meshCardiovascular Diseases - epidemiology - etiologyen_HK
dc.subject.meshChina - epidemiologyen_HK
dc.subject.meshCross-Sectional Studiesen_HK
dc.subject.meshFemaleen_HK
dc.subject.meshHumansen_HK
dc.subject.meshMaleen_HK
dc.subject.meshMiddle Ageden_HK
dc.subject.meshPredictive Value of Testsen_HK
dc.subject.meshPrevalenceen_HK
dc.subject.meshROC Curveen_HK
dc.subject.meshRisk Factorsen_HK
dc.titleWaist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indicesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1047-2797&volume=13&spage=683&epage=691&date=2003&atitle=Waist+to+stature+ratio+is+more+strongly+associated+with+cardiovascular+risk+factors+than+other+simple+anthropometric+indicesen_HK
dc.identifier.emailHo, SY:syho@hku.hken_HK
dc.identifier.emailLam, TH:hrmrlth@hkucc.hku.hken_HK
dc.identifier.authorityHo, SY=rp00427en_HK
dc.identifier.authorityLam, TH=rp00326en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S1047-2797(03)00067-Xen_HK
dc.identifier.pmid14599732-
dc.identifier.scopuseid_2-s2.0-0242383897en_HK
dc.identifier.hkuros85175en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0242383897&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume13en_HK
dc.identifier.issue10en_HK
dc.identifier.spage683en_HK
dc.identifier.epage691en_HK
dc.identifier.isiWOS:000186467400004-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridHo, SY=7403716884en_HK
dc.identifier.scopusauthoridLam, TH=7202522876en_HK
dc.identifier.scopusauthoridJanus, ED=7006936536en_HK
dc.identifier.issnl1047-2797-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats