Anthropometric measures and absolute cardiovascular risk estimates in the Australian Diabetes, Obesity and Lifestyle (AusDiab) Study

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Abstract

BACKGROUND: Framingham risk functions are widely used for prediction of future cardiovascular disease events. They do not, however, include anthropometric measures of overweight or obesity, now considered a major cardiovascular disease risk factor. We aimed to establish the most appropriate anthropometric index and its optimal cutoff point for use as an ancillary measure in clinical practice when identifying people with increased absolute cardiovascular risk estimates. DESIGN: Analysis of a population-based, cross-sectional survey was carried out. METHODS: The 1991 Framingham prediction equations were used to compute 5 and 10-year risks of cardiovascular or coronary heart disease in 7191 participants from the Australian Diabetes, Obesity and Lifestyle Study (1999-2000). Receiver operating characteristic curve analysis was used to compare measures of body mass index (BMI), waist circumference, and waist-to-hip ratio in identifying participants estimated to be at high , or at intermediate or high absolute risk. RESULTS: After adjustment for BMI and age, waist-to-hip ratio showed stronger correlation with absolute risk estimates than waist circumference. The areas under the receiver operating characteristic curve for waist-to-hip ratio (0.67-0.70 in men, 0.64-0.74 in women) ......
Original languageEnglish
Pages (from-to)740 - 745
Number of pages6
JournalEuropean Journal of Cardiovascular Prevention & Rehabilitation
Volume14
Issue number6
Publication statusPublished - 2007

Cite this

@article{c5668edb35ff4b7caef0cfe71f099a5e,
title = "Anthropometric measures and absolute cardiovascular risk estimates in the Australian Diabetes, Obesity and Lifestyle (AusDiab) Study",
abstract = "BACKGROUND: Framingham risk functions are widely used for prediction of future cardiovascular disease events. They do not, however, include anthropometric measures of overweight or obesity, now considered a major cardiovascular disease risk factor. We aimed to establish the most appropriate anthropometric index and its optimal cutoff point for use as an ancillary measure in clinical practice when identifying people with increased absolute cardiovascular risk estimates. DESIGN: Analysis of a population-based, cross-sectional survey was carried out. METHODS: The 1991 Framingham prediction equations were used to compute 5 and 10-year risks of cardiovascular or coronary heart disease in 7191 participants from the Australian Diabetes, Obesity and Lifestyle Study (1999-2000). Receiver operating characteristic curve analysis was used to compare measures of body mass index (BMI), waist circumference, and waist-to-hip ratio in identifying participants estimated to be at high , or at intermediate or high absolute risk. RESULTS: After adjustment for BMI and age, waist-to-hip ratio showed stronger correlation with absolute risk estimates than waist circumference. The areas under the receiver operating characteristic curve for waist-to-hip ratio (0.67-0.70 in men, 0.64-0.74 in women) ......",
author = "Lei Chen and Anna Peeters and Magliano, {Dianna Josephine} and Shaw, {Jonathan Edward} and Welborn, {Timothy A} and Wolfe, {Rory St John} and Zimmet, {Paul Z} and Tonkin, {Andrew Maxwell}",
year = "2007",
language = "English",
volume = "14",
pages = "740 -- 745",
journal = "European Journal of Preventive Cardiology",
issn = "2047-4873",
publisher = "SAGE Publications Ltd",
number = "6",

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TY - JOUR

T1 - Anthropometric measures and absolute cardiovascular risk estimates in the Australian Diabetes, Obesity and Lifestyle (AusDiab) Study

AU - Chen, Lei

AU - Peeters, Anna

AU - Magliano, Dianna Josephine

AU - Shaw, Jonathan Edward

AU - Welborn, Timothy A

AU - Wolfe, Rory St John

AU - Zimmet, Paul Z

AU - Tonkin, Andrew Maxwell

PY - 2007

Y1 - 2007

N2 - BACKGROUND: Framingham risk functions are widely used for prediction of future cardiovascular disease events. They do not, however, include anthropometric measures of overweight or obesity, now considered a major cardiovascular disease risk factor. We aimed to establish the most appropriate anthropometric index and its optimal cutoff point for use as an ancillary measure in clinical practice when identifying people with increased absolute cardiovascular risk estimates. DESIGN: Analysis of a population-based, cross-sectional survey was carried out. METHODS: The 1991 Framingham prediction equations were used to compute 5 and 10-year risks of cardiovascular or coronary heart disease in 7191 participants from the Australian Diabetes, Obesity and Lifestyle Study (1999-2000). Receiver operating characteristic curve analysis was used to compare measures of body mass index (BMI), waist circumference, and waist-to-hip ratio in identifying participants estimated to be at high , or at intermediate or high absolute risk. RESULTS: After adjustment for BMI and age, waist-to-hip ratio showed stronger correlation with absolute risk estimates than waist circumference. The areas under the receiver operating characteristic curve for waist-to-hip ratio (0.67-0.70 in men, 0.64-0.74 in women) ......

AB - BACKGROUND: Framingham risk functions are widely used for prediction of future cardiovascular disease events. They do not, however, include anthropometric measures of overweight or obesity, now considered a major cardiovascular disease risk factor. We aimed to establish the most appropriate anthropometric index and its optimal cutoff point for use as an ancillary measure in clinical practice when identifying people with increased absolute cardiovascular risk estimates. DESIGN: Analysis of a population-based, cross-sectional survey was carried out. METHODS: The 1991 Framingham prediction equations were used to compute 5 and 10-year risks of cardiovascular or coronary heart disease in 7191 participants from the Australian Diabetes, Obesity and Lifestyle Study (1999-2000). Receiver operating characteristic curve analysis was used to compare measures of body mass index (BMI), waist circumference, and waist-to-hip ratio in identifying participants estimated to be at high , or at intermediate or high absolute risk. RESULTS: After adjustment for BMI and age, waist-to-hip ratio showed stronger correlation with absolute risk estimates than waist circumference. The areas under the receiver operating characteristic curve for waist-to-hip ratio (0.67-0.70 in men, 0.64-0.74 in women) ......

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M3 - Article

VL - 14

SP - 740

EP - 745

JO - European Journal of Preventive Cardiology

JF - European Journal of Preventive Cardiology

SN - 2047-4873

IS - 6

ER -