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

• Published in: Journal of diabetes investigation 2015-05, Vol.6 (3), p.280-288
• Main Authors: Bhowmik, Bishwajit, Afsana, Faria, Siddiquee, Tasnima, Munir, Sanjida B, Sheikh, Fareeha, Wright, Erica, Bhuiyan, Farjana R, Ashrafuzzaman, Sheikh Mohammad, Mahtab, Hajera, Azad Khan, Abul Kalam, Hussain, Akhtar
• Format: Article
• Language: English
• Subjects: Bangladeshi population; Blood pressure; Cardiovascular disease; Cardiovascular diseases; Cholesterol; Diabetes; Diabetes mellitus; Diabetes mellitus (non-insulin dependent); Heart attacks; Hypertension; Identification; Lifestyles; Medical research; Metabolic syndrome; Obesity; Population; Population studies; Risk factors; Rural areas; Studies
• ISSN: 2040-1116; 2040-1124
• DOI: 10.1111/jdi.12268

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.