Comparison of the prevalence of metabolic syndrome and its association with diabetes and cardiovascular disease in the rural population of Bangladesh using the modified National Cholesterol Education Program Expert Panel Adult Treatment Panel III and International Diabetes Federation definitions.

AIMS/INTRODUCTION: To compare the prevalence of metabolic syndrome (MS) using the modified National Cholesterol Education Program Adult Treatment Plan III (NCEP) and the International Diabetes Federation (IDF) definitions and, using both definitions, determine and compare the association of MS, prediabetes, type 2 diabetes, hypertension (HTN) and cardiovascular disease risk (CVD). MATERIALS AND METHODS: A total of 2,293 randomly selected participants (aged ≥20 years) in a rural community in Bangladesh were investigated in a population-based cross-sectional study. Sociodemographic and anthropometric characteristics, blood pressure, blood glucose, and lipid profiles were studied. Age-adjusted data for MS and cardiometabolic risk factors were assessed, and their relationships were examined. RESULTS: The age-adjusted prevalence of MS was 30.7% (males 30.5%; females 30.5%) using the NCEP definition, and 24.5% (males 19.2%, females 27.5%) using the IDF definition. The prevalence of MS using the NCEP definition was also higher in study participants with prediabetes, type 2 diabetes, HTN and CVD risk. The agreement rate between both definitions was 92% (k = 0.80). The NCEP definition had a stronger association with type 2 diabetes and HTN (odds ratio 12.4 vs 5.2; odds ratio 7.0 vs 4.7, respectively) than the IDF definition. However, the odds ratios for prediabetes and CVD risk were not significantly different. CONCLUSIONS: The prevalence of MS was higher using the NCEP definition, and was more strongly associated with prediabetes, type 2 diabetes, HTN and CVD in this Bangladeshi population.

Anthropometric indices of obesity and type 2 diabetes in Bangladeshi population: Chandra Rural Diabetes Study (CRDS).

BACKGROUND: Obesity is a risk factor for type 2 diabetes (DM); however, no study has specially assessed the anthropometric indices as predictors of diabetes in rural Bangladeshi population. OBJECTIVE: To identify markers for diabetes through body mass index (BMI), waist circumference (WC), waist hip ratio (WHR) and waist height ratio (WHtR) and identify the optimal cut-off values suitable for Bangladeshi adult population. METHODS: A total of 2293 subjects aged ≥20 years from rural Bangladesh were randomly recruited to participate in a population-based, cross sectional survey. Age adjusted data for anthropometric indices and diabetes risk were assessed and their relationships were examined. RESULTS: Age adjusted prevalence of DM in men and women were 9.5% and 7.0%, respectively. Both men and women with DM had a higher rate of general obesity (defined by BMI) and central obesity (defined by WC, WHR and WHtR) than non-diabetic subjects. In both men and women the most sensitive indice was WHR for predicting DM. The appropriate cut-offs values for WHR to predict DM in men and women were 0.93 and 0.87, respectively. WC of 82 cm for both sexes was appropriate to predict DM. Those of BMI and WHtR were 21.2 kg/m2, 21.8 kg/m2 and 0.53, 0.54 in men and women, respectively. CONCLUSIONS: Compared with BMI, measures of central obesity, WHR, WC, WHtR showed a better association with the risk of DM for both sexes in rural Bangladeshi population. Follow-up studies are needed for validifying these cut-offs values.

Anthropometric indicators of obesity for identifying cardiometabolic risk factors in a rural Bangladeshi population.

AIMS/INTRODUCTION: The aim of the present study was to evaluate the predictive ability of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and body fat percentages (BF%) for the presence of cardiometabolic risk factors, namely type 2 diabetes (DM), hypertension (HTN), dyslipidemia and metabolic syndrome (MS). MATERIALS AND METHODS: A total of 2293 subjects aged ≥20 years from rural Bangladesh were randomly selected in a population-based, cross-sectional survey. The association of anthropometric indicators with cardiometabolic risk conditions was assessed by using receiver operating characteristic curve analysis and adjusted odds ratios (ORs) for DM, HTN, dyslipidemia and MS. RESULTS: Area under the curve cut-off values showed that the association of WHR, BF% and WC was higher than that for other indices for DM, HTN and MS, respectively, for both sexes, and WHtR for men and WHR for women for dyslipidemia. The ORs were highest for WHR for DM and WC for MS for both sexes, and WHtR for men and WC for women for HTN and dyslipidemia, respectively. The optimal cut-off values for obesity for the present study in men and women showed BMIs of 22 and 22.8 kg/m(2), WHRs of 0.93 and 0.87, WHtRs of 0.52 and 0.54, BF% of 21.4 and 32.4%, and WCs of 82 and 81 cm, except for MS, which were 90 for men and 80 for women. CONCLUSIONS: Compared with BMI, measures of central obesity, particularly WHR, WC, WHtR and BF%, showed a better association with obesity-related cardiometabolic risk factors for both sexes.