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Article: The discrimination of dyslipidaemia using anthropometric measures in ethnically diverse populations of the Asia-pacific region: The obesity in Asia collaboration
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TitleThe discrimination of dyslipidaemia using anthropometric measures in ethnically diverse populations of the Asia-pacific region: The obesity in Asia collaboration
 
AuthorsBarzi, F4
Woodward, M4
Czernichow, S4
Lee, CMY4
Kang, JH2
Janus, E1
Lear, S5
Patel, A4
Caterson, I4
Patel, J7
Lam, TH3
Suriyawongpaisal, P6
Huxley, R4
 
Issue Date2010
 
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/OBR
 
CitationObesity Reviews, 2010, v. 11 n. 2, p. 127-136 [How to Cite?]
DOI: http://dx.doi.org/10.1111/j.1467-789X.2009.00605.x
 
AbstractDyslipidaemia is a major risk factor for cardiovascular disease and is only detectable through blood testing, which may not be feasible in resource-poor settings. As dyslipidaemia is commonly associated with excess weight, it may be possible to identify individuals with adverse lipid profiles using simple anthropometric measures. A total of 222 975 individuals from 18 studies were included as part of the Obesity in Asia Collaboration. Linear and logistic regression models were used to assess the association between measures of body size and dyslipidaemia. Body mass index, waist circumference, waist: hip ratio (WHR) and waist: height ratio were continuously associated with the lipid variables studied, but the relationships were consistently stronger for triglycerides and high-density lipoprotein cholesterol. The associations were similar between Asians and non-Asians, and no single anthropometric measure was superior at discriminating those individuals at increased risk of dyslipidaemia. WHR cut-points of 0.8 in women and 0.9 in men were applicable across both Asians and non-Asians for the discrimination of individuals with any form of dyslipidaemia. Measurement of central obesity may help to identify those individuals at increased risk of dyslipidaemia. WHR cut-points of 0.8 for women and 0.9 for men are optimal for discriminating those individuals likely to have adverse lipid profiles and in need of further clinical assessment. © 2009 International Association for the Study of Obesity.
 
ISSN1467-7881
2013 Impact Factor: 7.859
2013 SCImago Journal Rankings: 3.638
 
DOIhttp://dx.doi.org/10.1111/j.1467-789X.2009.00605.x
 
ISI Accession Number IDWOS:000273732700005
Funding AgencyGrant Number
National Health and Medical Research Council of Australia
National Heart Foundation of Australia
Institut Servier, France
Assistance Publique-Hopitaux de Paris
Funding Information:

The authors would like to thank principal collaborators in OAC: John Adam, Fereidoun Azizi, Corazon Barba, Zhou Beifan, Chen Chunming, Stephen Colagiuri, Jeffery Cutter, Chee Weng Fong, Graham Giles, Kuo-Chin Huang, Edward Janus, Jae-Heon Kang, Gary Ko, Shinichi Kuriyama, Tai Hing Lam, Scott Lear, Viswanathan Mohan, Sang Woo Oh, Jeetesh Patel, Dorairaj Prabhakaran, Srinath Reddy, Jonathan Shaw, Piyamitr Sritara, Paibul Suriyawongpaisal, Tim Welborn, Paul Zimmet. The funding support is from National Health and Medical Research Council of Australia and National Heart Foundation of Australia. Sebastien Czernichow is supported by a research grant from Institut Servier, France and Assistance Publique-Hopitaux de Paris. R. Huxley is supported by a Career Development Award from the National Heart Foundation of Australia.

 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorBarzi, F
 
dc.contributor.authorWoodward, M
 
dc.contributor.authorCzernichow, S
 
dc.contributor.authorLee, CMY
 
dc.contributor.authorKang, JH
 
dc.contributor.authorJanus, E
 
dc.contributor.authorLear, S
 
dc.contributor.authorPatel, A
 
dc.contributor.authorCaterson, I
 
dc.contributor.authorPatel, J
 
dc.contributor.authorLam, TH
 
dc.contributor.authorSuriyawongpaisal, P
 
dc.contributor.authorHuxley, R
 
dc.date.accessioned2010-12-23T08:37:53Z
 
dc.date.available2010-12-23T08:37:53Z
 
dc.date.issued2010
 
dc.description.abstractDyslipidaemia is a major risk factor for cardiovascular disease and is only detectable through blood testing, which may not be feasible in resource-poor settings. As dyslipidaemia is commonly associated with excess weight, it may be possible to identify individuals with adverse lipid profiles using simple anthropometric measures. A total of 222 975 individuals from 18 studies were included as part of the Obesity in Asia Collaboration. Linear and logistic regression models were used to assess the association between measures of body size and dyslipidaemia. Body mass index, waist circumference, waist: hip ratio (WHR) and waist: height ratio were continuously associated with the lipid variables studied, but the relationships were consistently stronger for triglycerides and high-density lipoprotein cholesterol. The associations were similar between Asians and non-Asians, and no single anthropometric measure was superior at discriminating those individuals at increased risk of dyslipidaemia. WHR cut-points of 0.8 in women and 0.9 in men were applicable across both Asians and non-Asians for the discrimination of individuals with any form of dyslipidaemia. Measurement of central obesity may help to identify those individuals at increased risk of dyslipidaemia. WHR cut-points of 0.8 for women and 0.9 for men are optimal for discriminating those individuals likely to have adverse lipid profiles and in need of further clinical assessment. © 2009 International Association for the Study of Obesity.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationObesity Reviews, 2010, v. 11 n. 2, p. 127-136 [How to Cite?]
DOI: http://dx.doi.org/10.1111/j.1467-789X.2009.00605.x
 
dc.identifier.doihttp://dx.doi.org/10.1111/j.1467-789X.2009.00605.x
 
dc.identifier.epage136
 
dc.identifier.hkuros183384
 
dc.identifier.isiWOS:000273732700005
Funding AgencyGrant Number
National Health and Medical Research Council of Australia
National Heart Foundation of Australia
Institut Servier, France
Assistance Publique-Hopitaux de Paris
Funding Information:

The authors would like to thank principal collaborators in OAC: John Adam, Fereidoun Azizi, Corazon Barba, Zhou Beifan, Chen Chunming, Stephen Colagiuri, Jeffery Cutter, Chee Weng Fong, Graham Giles, Kuo-Chin Huang, Edward Janus, Jae-Heon Kang, Gary Ko, Shinichi Kuriyama, Tai Hing Lam, Scott Lear, Viswanathan Mohan, Sang Woo Oh, Jeetesh Patel, Dorairaj Prabhakaran, Srinath Reddy, Jonathan Shaw, Piyamitr Sritara, Paibul Suriyawongpaisal, Tim Welborn, Paul Zimmet. The funding support is from National Health and Medical Research Council of Australia and National Heart Foundation of Australia. Sebastien Czernichow is supported by a research grant from Institut Servier, France and Assistance Publique-Hopitaux de Paris. R. Huxley is supported by a Career Development Award from the National Heart Foundation of Australia.

 
dc.identifier.issn1467-7881
2013 Impact Factor: 7.859
2013 SCImago Journal Rankings: 3.638
 
dc.identifier.issue2
 
dc.identifier.pmid19493299
 
dc.identifier.scopuseid_2-s2.0-75149138986
 
dc.identifier.spage127
 
dc.identifier.urihttp://hdl.handle.net/10722/129489
 
dc.identifier.volume11
 
dc.languageeng
 
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/OBR
 
dc.publisher.placeUnited Kingdom
 
dc.relation.ispartofObesity Reviews
 
dc.relation.referencesReferences in Scopus
 
dc.subject.meshAdult
 
dc.subject.meshAnthropometry - methods
 
dc.subject.meshAsia
 
dc.subject.meshBody Composition
 
dc.subject.meshBody Weight
 
dc.subject.meshDyslipidemias - diagnosis - epidemiology
 
dc.subject.meshFemale
 
dc.subject.meshHumans
 
dc.subject.meshMale
 
dc.subject.meshMiddle Aged
 
dc.subject.meshObesity - diagnosis - epidemiology
 
dc.subject.meshOceania
 
dc.subject.meshPrevalence
 
dc.subject.meshRegression Analysis
 
dc.subject.meshRisk Assessment
 
dc.subject.meshWaist Circumference
 
dc.subject.meshWaist-Hip Ratio
 
dc.titleThe discrimination of dyslipidaemia using anthropometric measures in ethnically diverse populations of the Asia-pacific region: The obesity in Asia collaboration
 
dc.typeArticle
 
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<contributor.author>Kang, JH</contributor.author>
<contributor.author>Janus, E</contributor.author>
<contributor.author>Lear, S</contributor.author>
<contributor.author>Patel, A</contributor.author>
<contributor.author>Caterson, I</contributor.author>
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Author Affiliations
  1. Wimmera Health Care Group
  2. Inje University Paik Hospital
  3. The University of Hong Kong
  4. University of Sydney
  5. Simon Fraser University
  6. Mahidol University
  7. Sandwell General Hospital