OBJECTIVE:To determine values of simple anthropometric measurements which are associated with the presence of type 2 diabetes mellitus, hypertension and dyslipidaemia and to assess anthropometric cut-off values for predicting the likelihood of these chronic conditions in a Mexican population. DESIGN AND SETTING: The data were obtained from PRIT (Prevalence of Cardiovascular Risk Factors in General Hospital Workers) surveys from 1994 to 2000 adjusted to the structure of the overall Mexican population. SUBJECTS: A total of 2426 men and 5939 women aged 38.99 AE 7.11 and 39.11 AE 14.25 y, respectively. MEASUREMENTS: The optimal sensitivity and specificity of using various cut-off values of BMI (body mass index), WHR (waistto-hip ratio), WC (waist circumference) and WTH (waist-to-height ratio) to predict type 2 diabetes mellitus (DM), hypertension (HT), or dyslipidaemia were examined by receiver operating characteristic curve (ROC) analysis. The likelihood ratios for having diabetes, hypertension and dyslipidaemia in subjects with various cut-off values of BMI, WHR, WC and WTH were calculated. Multiple step-wise logistic regression analysis was used to examine the independent relationship between the anthropometric indexes, age and smoking, and the odds ratio of having chronic conditions. RESULTS: The BMI cut-off to predict DM, HT, or dyslipidaemia varied from 25.2 to 26.6 kg=m 2 in both men and women. The optimal WC cut-offs were 90 cm in men and 85 cm in women. The WHR cut-off was about 0.90 in men and 0.85 in women, and the optimal WTH cut-off was 52.5 in men and varied from 53 to 53.5 in women. The cut-off levels for WC, WHR and WTH corresponded to the inflexion points in the likelihood ratio graphs. In the case of BMI likelihood ratio graphs, we found a significant increase in the risk for chronic conditions from 22 to 23 BMI levels in both genders. Logistic regression analyses disclosed that only BMI and age were included in all the models as well as the influence of smoking in DM and dyslipidaemia in men. CONCLUSION: Although these results may not be readily applied to the rest of the Mexican population or to other Hispanic populations, they point to the necessity of similar studies with large randomized samples to find the cut-off levels for chronic conditions in different populations.

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[37.3(Ϯ 12.9) years] were assessed for values of body mass index (BMI) and waist circumference (WC) for predicting DM or HT by receiver operating characteristic curve analyses. Likelihood ratios for DM and HT were calculated, and BMIs or WCs for public-health screening were developed. Subanalyses included regional data. Results: Likelihood ratios of DM and HT increased from BMI values of 22 to 24 kg/m 2 in both sexes and with WC values of 75 to 80 cm in men and 70 to 80 cm in women. The best BMI cutoffs for predicting DM were 26.3 to 27.4 kg/m 2 in men and 27.7 to 28.9 kg/m 2 in women, with similar values for HT, i.e., 26.2 to 27.0 kg/m 2 and 27.7 to 28.5 kg/m 2 , for men and women, respectively; WC cutoffs for DM were 93 to 98 cm in men and 94 to 99 cm in women, and cutoffs for HT were 92 to 96 cm and 93 to 96 cm for men and women, respectively. The WC cutoffs had higher sensitivity and specificity than those of BMI. Discussion: The risk for DM and HT starts at lower levels of BMI and WC than those suggested by WHO. WC is a better discriminator than BMI measures for use in public health.

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