OBJECTIVES: To compare body mass index (BMI), waist circumference and waist-hip ratio (WHR) as indices of @entity28 and assess the respective associations with @entity164 2 @entity6 , @entity101 and dyslipidaemia. DESIGN AND SETTING: A national sample of 11 247 Australians aged > or =25 years was examined in 2000 in a cross-sectional survey. MAIN OUTCOME MEASURES: The examination included a fasting blood sample, standard 2-h 75-g oral @entity413 tolerance test, blood pressure measurements and questionnaires to assess treatment for dyslipidaemia and @entity101 . BMI, waist circumference and WHR were measured to assess overweight and @entity28 . RESULTS: The prevalence of @entity28 amongst Australian adults defined by BMI, waist circumference and WHR was 20.8, 30.5 and 15.8% respectively. The unadjusted odds ratio for the fourth vs. first quartile of each @entity28 measurement showed that WHR had the strongest relationship with @entity164 2 @entity6 , dyslipidaemia ( @entity1 only) and @entity101 . Following adjustment for age, however, there was little difference between the three measures of @entity28 , with the possible exceptions of @entity101 in @entity1 , where BMI had a stronger association, and dyslipidaemia in @entity1 and @entity164 2 @entity6 in @entity1 , where WHR was marginally superior. CONCLUSIONS: Waist circumference, BMI and WHR identified different proportions of the population, as measured by both prevalence of @entity28 and @entity65 ( @entity65 ) risk factors. Whilst WHR had the strongest correlations with @entity65 risk factors before adjustment for age, the three @entity28 measures performed similarly after adjustment for age. Given the difficulty of using age-adjusted associations in the clinical setting, these results suggest that given appropriate cut-off points, WHR is the most useful measure of @entity28 to use to identify individuals with @entity65 risk factors.

Waist circumference, waist-hip ratio and body mass index and their correlation with XXXX risk factors in Australian adults.

@entity1 :: ('9606', 'Species') :: ['women', 'men'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertension'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obesity'] @entity164 :: ('MESH:D017827', 'Disease') :: ['type'] @entity65 :: ('MESH:D002318', 'Disease') :: ['CVD', 'cardiovascular disease'] @entity413 :: ('MESH:D005947', 'Chemical') :: ['glucose']
@entity65 :: (MESH:D002318,Disease) :: ['cardiovascular disease']
