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

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 anal... Full description

Journal Title: Journal of clinical epidemiology 2008, Vol.61 (7), p.646-653
Main Author: Lee, Crystal Man Ying
Other Authors: Huxley, Rachel R , Wildman, Rachel P , Woodward, Mark
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: New York, NY: Elsevier Inc
ID: ISSN: 0895-4356
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recordid: cdi_proquest_miscellaneous_71655829
title: Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis
format: Article
creator:
  • Lee, Crystal Man Ying
  • Huxley, Rachel R
  • Wildman, Rachel P
  • Woodward, Mark
subjects:
  • Abdominal Fat
  • Biological and medical sciences
  • Body Composition
  • Body Height
  • Body Mass Index
  • Body Weight
  • Cardiovascular disease
  • Cardiovascular diseases
  • Cardiovascular Diseases - etiology
  • Cardiovascular risk factors
  • Female
  • Humans
  • Internal Medicine
  • Male
  • Medical sciences
  • Meta-analysis
  • Metabolic diseases
  • Miscellaneous
  • Obesity
  • Obesity - complications
  • Obesity - diagnosis
  • Public health. Hygiene
  • Public health. Hygiene-occupational medicine
  • Risk Factors
  • ROC Curve
  • Studies
  • Waist-to-height ratio
ispartof: Journal of clinical epidemiology, 2008, Vol.61 (7), p.646-653
description: 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.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0895-4356
fulltext: fulltext
issn:
  • 0895-4356
  • 1878-5921
url: Link


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descriptionAbstract 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.
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subjectAbdominal Fat ; Biological and medical sciences ; Body Composition ; Body Height ; Body Mass Index ; Body Weight ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - etiology ; Cardiovascular risk factors ; Female ; Humans ; Internal Medicine ; Male ; Medical sciences ; Meta-analysis ; Metabolic diseases ; Miscellaneous ; Obesity ; Obesity - complications ; Obesity - diagnosis ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Risk Factors ; ROC Curve ; Studies ; Waist-to-height ratio
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descriptionAbstract 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.
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abstractAbstract 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.
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pmid18359190
doi10.1016/j.jclinepi.2007.08.012