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

    Access Status
    Fulltext not available
    Authors
    Lee, Crystal
    Huxley, Rachel
    Wildman, R.
    Woodward, M.
    Date
    2008
    Type
    Journal Article
    
    Metadata
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    Citation
    Lee, C. and Huxley, R. and Wildman, R. and Woodward, M. 2008. Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. Journal of Clinical Epidemiology. 61 (7): pp. 646-653.
    Source Title
    Journal of Clinical Epidemiology
    DOI
    10.1016/j.jclinepi.2007.08.012
    ISSN
    0895-4356
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/33307
    Collection
    • Curtin Research Publications
    Abstract

    Objective: To determine which simple index of overweight and obesity is the best discriminator of cardiovascular risk factors. Study Design and Setting: 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. Results: 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. Conclusion: Statistical evidence supports the superiority of measures of centralized obesity, especially WHtR, over BMI, for detecting cardiovascular risk factors in both men and women. © 2008 Elsevier Inc. All rights reserved.

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