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Objectives: To determine the prevalence of overweight and obesity and their effects on cardiometabolic risk factors in a representative sample of urban population in Eastern India. Materials and methods: A population-based survey was conducted among a randomly selected study population aged 20-80 years in an urban population of Berhampur city of Eastern India. Both anthropometric and biochemical information were collected, in addition to detailed information on classical cardiometabolic risk factors. Both descriptive and inferential statistical analyses were performed. Obesity and overweight were defined based on the revised Asian-Pacific population criteria (Body mass index [BMI] ≥25 kg/m[sup 2] and ≥23 kg/m[sup 2], respectively). Results: The age-standardized rates of obesity and overweight are 36.8% (Males: 33.2%; Females: 40.8%) and 17.6%, (Males: 20.4%; Females: 15.1%) respectively, i.e., over half are either obese or overweight in this study population. Compared to the World Health Organization (WHO) standard cutoff criteria of overweight [BMI ≥25 kg/m[sup 2]] and obesity [BMI >30 kg/m[sup 2]], the cardiometabolic risk factors studied showed a significant incremental rise even with the lower cutoffs of the revised Asia-Pacific criteria. Older age, female gender, family history of diabetes, being hypertensive, hypertriglyceridemia, hypercholesterolemia, physical inactivity and middle to higher socioeconomic status significantly contributed to increased obesity risk among this urban population. Conclusion: One-third of the urban populations are obese in Eastern India - an underestimate compared to the standard BMI cutoff criteria. Nevertheless, significant associations of the classical cardiometabolic risk factors with obesity were observed using the revised Asia-Pacific criteria clearly indicating a more aggressive cardiovascular prevention strategy for Asian Indians. [ABSTRACT FROM AUTHOR]

India leads the world with largest number of diabetic subjects earning the dubious distinction of being termed the "diabetes capital of the world". According to the Diabetes Atlas 2006 published by the International Diabetes Federation, the number of people with diabetes in India currently around 40.9 million is expected to rise to 69.9 million by 2025 unless urgent preventive steps are taken. The so called "Asian Indian Phenotype" refers to certain unique clinical and biochemical abnormalities in Indians which include increased insulin resistance, greater abdominal adiposity i.e., higher waist circumference despite lower body mass index, lower adiponectin and higher high sensitive C-reactive protein levels. This phenotype makes Asian Indians more prone to diabetes and premature coronary artery disease. At least a part of this is due to genetic factors. However, the primary driver of the epidemic of diabetes is the rapid epidemiological transition associated with changes in dietary patterns and decreased physical activity as evident from the higher prevalence of diabetes in the urban population. Even though the prevalence of microvascular complications of diabetes like retinopathy and nephropathy are comparatively lower in Indians, the prevalence of premature coronary artery disease is much higher in Indians compared to other ethnic groups. The most disturbing trend is the shift in age of onset of diabetes to a younger age in the recent years. This could have long lasting adverse effects on nation's health and economy. Early identification of at-risk individuals using simple screening tools like the Indian Diabetes Risk Score (IDRS) and appropriate lifestyle intervention would greatly help in preventing or postponing the onset of diabetes and thus reducing the burden on the community and the nation as a whole. [ABSTRACT FROM AUTHOR]

Objectives: To determine the prevalence of metabolic syndrome and to identify predictors for the same, specific to an underdeveloped urban locale of Eastern India. Materials and Methods: Study design: Population-based cross-sectional study, with multistage random sampling technique. Setting: Urban city-dwellers in Orissa one of the poorest states of Eastern India bordering a prosperous state of Andhra Pradesh of Southern India. Participants: 1178 adults of age 20-80 years randomly selected from 37 electoral wards of the urban city. Definition of Metabolic Syndrome: We followed a unified definition of the metabolic syndrome by joint interim statement of five major scientific organizations - the International Diabetes Federation, the National Heart, Lung, and Blood Institute, the American Heart Association, the World Heart Federation, the International Atherosclerosis Society, and the International Association of the Study of Obesity. Individuals who meet at least three of five clinical criteria of abdominal obesity, hypertriglyceredimia, low HDL, hypertension, and hyperglycemia are diagnosed as having the condition; presence of none of these criteria is mandatory. Explicit cut points are defined for all criteria, except elevated waist circumference, which must rely on population and country-specific definitions. Main Outcome Measure: Prevalence and significant predictors of metabolic syndrome. Statistical Analysis: Both descriptive and multivariable logistic regression analyses. Results: Age-standardized prevalence rates of metabolic syndrome were 33.5% overall, 24.9 % in males and 42.3% in females. Older age, female gender, general obesity, inadequate fruit intake, hypercholesterolemia, and middle-to-high socioeconomic status significantly contributed to increased risk of metabolic syndrome. Conclusion: Metabolic syndrome is a significant public health problem even in one of the poorest states of India that needs to be tackled with proven strategies. [ABSTRACT FROM AUTHOR]

Background & objectives: With increasing number of people with diabetes worldwide, particularly in India, it is necessary to search for low cost screening methods. We compared the effectiveness and costs of screening for undiagnosed type 2 diabetes mellitus (T2DM), using oral glucose tolerance testing (OGTT) alone, or following a positive result from the Indian Diabetes Risk Score (IDRS) or following a positive result from genotyping of the TCF7L2 polymorphisms in Asian Indians. Methods: In subjects without known diabetes (n=961) recruited from the Chennai Urban Rural Epidemiology Study (CURES), OGTT, IDRS, and genotyping of rs12255372 (G/T) and rs7903146(C/T) of TCF7L2 polymorphisms were done. IDRS includes four parameters: age, abdominal obesity, family history of T2DM and physical activity. Results: OGTT identified 72 subjects with newly diagnosed diabetes (NDD), according to the World Health Organization criteria of fasting plasma glucose ≥ 126 mg/dl or a plasma glucose ≥ 200 mg/dl, 2 h after 75 g oral glucose load. IDRS screening (cut-off ≥ 60) yielded 413 positive subjects, which included 54 (75%) of the 72 NDD subjects identified by OGTT. Genotyping yielded 493 positive subjects which only included 36 (50%) of the 72 NDD subjects showing less discriminatory power. Screening with both SNPs missed 27 (37.5%) NDD subjects identified by IDRS. In contrast, IDRS missed only 9 (12.5%) of the NDD subjects identified by genotyping. Total screening cost for OGTT alone, or with IDRS were 384,400 and 182,810 respectively. Comparing OGTT alone to IDRS followed by OGTT, the incremental cost per additional NDD subject detected by doing OGTT on everyone was 11,199 (201,590 for detecting additional 18 NDD subjects). Interpretation & conclusions: For screening a population of subjects without diagnosed diabetes in India, a simple diabetes risk score is more effective and less expensive than genotyping or doing OGTT on the whole population. [ABSTRACT FROM AUTHOR]

Background & objective: Association between adiponectin and non-alcoholic fatty liver disease (NAFLD) has been reported in west. Studies in Indian population are lacking. This study was undertaken to assess the association of hypoadiponectinemia with NAFLD in Asian Indians. Method: In this cross-sectional study, subjects were randomly selected from Phase 5 of the Chennai Urban Rural Epidemiology Study (CURES), an epidemiological study based on a representative population of Chennai in south India. One hundred twenty one subjects without NAFLD and 72 subjects with NAFLD were selected. NAFLD was diagnosed by ultrasonography. Serum adiponectin levels were measured using radioimmunoassay. Insulin resistance was calculated using Homeostasis Assessment model (HOMA-IR). Results: Serum adiponectin values were significantly lower in subjects with NAFLD compared to those without 15.6 lag/ml (95% Confidence Interval (CI) 5.0 - 6.3 µg/ml] vs 7.4 µg/ml (95% CI: 6.7 - 8.1 µg/ml, P<0.01). Adiponectin levels decreased with increasing severity of NAFLD. Subjects with moderate to severe steatosis had significantly lower adiponectin levels (5.11 µg/ml, 95% CI: 4.1- 6.4 µg/ml) compared to subjects with mild steatosis (5.9 µg/ml, 95% CI: 5.0 - 6.9 µg/ml; P<0.001) and subjects without NAFLD (7.3 µg/ml, 95% CI: 6.6 - 8.0 µg/ml; P<0.01). Multiple logistic regression analysis revealed adiponectin to be negatively associated with NAFLD [Odds Ratio (OR): 0.865, 95% Confidence Interval (CI): 0.792-0.944, P=-0.001]. This remained statistically significant even after adjusting for confounding factors age, gender, body mass index, insulin resistance, waist circumference, total cholesterol, triglycerides and glucose intolerance (OR: 0.873, 95% CI: 0.793 - 0.961; P=0.005). Interpretation & conclusion: NAFLD is associated with lower serum adiponectin levels independent of conventional cardiovascular risk factors in Asian Indians known to have high prevalence of diabetes and coronary artery disease. [ABSTRACT FROM AUTHOR]