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PMID: 18359190 Published · ppublish English Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Review

Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis.

Journal of clinical epidemiology ·Vol. 61 ·No. 7 ·2008-07-00 ·Pages 646-53

Lee CM, Huxley RR, Wildman RP, Woodward M

Abstract

To determine which simple index of overweight and obesity is the best discriminator of cardiovascular risk factors. This is a meta-analysis of published literature. MEDLINE was searched. Studies that used receiver-operating characteristics (ROC) curve analysis and published area under the ROC curves (AUC) for overweight and obesity indices with hypertension, type-2 diabetes, and/or dyslipidemia were included. The AUC for each of the four indices, with each risk factor, was pooled using a random-effects model; male and female data were analyzed separately. Ten studies met the inclusion criteria. Body mass index (BMI) was the poorest discriminator for cardiovascular risk factors. Waist-to-height ratio (WHtR) was the best discriminator for hypertension, diabetes, and dyslipidemia in both sexes; its pooled AUC (95% confidence intervals) ranged from 0.67 (0.64, 0.69) to 0.73 (0.70, 0.75) and from 0.68 (0.63, 0.72) to 0.76 (0.70, 0.81) in males and females, respectively. Statistical evidence supports the superiority of measures of centralized obesity, especially WHtR, over BMI, for detecting cardiovascular risk factors in both men and women.

MeSH Terms
Abdominal Fat Body Composition Body Height Body Mass Index Body Weight Cardiovascular Diseases/etiology Female Humans Male Obesity/complications,diagnosis ROC Curve Risk Factors
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Lee Crystal Man Ying
Nutrition and Lifestyle Division, The George Institute for International Health, University of Sydney, PO Box M 201, Missenden Road, Sydney NSW 2050, Australia. [email protected]
Huxley Rachel R
Wildman Rachel P
Woodward Mark
Article Info
Journal
Journal of clinical epidemiology
Abbr.
J Clin Epidemiol
ISSN
0895-4356
Published
2008-07-00
Epub
2008-00-21
Pages
646-53
Language
English
Region
United States
NLM ID
8801383
Subset
IM
Analysis Services
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