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Objective: To evaluate patterns of physical activity (PA), the prevalence of physical inactivity and the relationships between PA and sociodemographic, clinical and biochemical parameters among Sri Lankan adults., Design: Descriptive cross-sectional study., Setting: Nationally representative population-based survey conducted in Sri Lanka., Subjects: Data on PA and associated details were obtained from 5000 adults. PA was assessed using the International Physical Activity Questionnaire (short-form). A binary logistic regression analysis was performed using the dichotomous variable ‘health-enhancing PA’ (05‘active’, 15‘inactive’)., Results: Sample size was 4485. Mean age was 46.1 (SD 15.1) years, 39.5% were males. The mean weekly total MET (metabolic equivalents of task) minutes of PA among the study population was 4703 (SD 4369). Males (5464 (SD 5452)) had a significantly higher weekly total MET minutes than females (4205 (SD 3394); P,0.001). Rural adults (5175 (SD 4583)) were significantly more active than urban adults (2956 (SD 2847); P<0.001). Tamils had the highest mean weekly total MET minutes among ethnicities. Those with tertiary education had lowest mean weekly total MET minutes. In all adults 60.0% were in the ‘highly active’ category, while only 11.0% were ‘inactive’ (males 14.6%, females 8.7%; P<0.001). Of the ‘highly active’ adults, 85.8% were residing in rural areas. Results of the binary logistic regression analysis indicated that female gender (OR52?1), age .70 years (OR53.8), urban living (OR52.5), Muslim ethnicity (OR52.7), tertiary education (OR53.6), obesity (OR51.8), diabetes (OR51.6), hypertension (OR51.2) and metabolic syndrome (OR51.3) were all associated with significantly increased odds of being physically ‘inactive’., Conclusions: The majority of Sri Lankan adults were ‘highly active’ physically. Female gender, older age, urban living, Muslim ethnicity and tertiary education were all significant predictors of physical inactivity. Physical inactivity was associated with obesity, diabetes, hypertension and metabolic syndrome.

Aims: Obesity associated metabolic diseases have reached epidemic levels in many South Asian countries. Conventional anthropometric indices have poor sensitivity and specificity for detecting people with increased metabolic risks. The aim of this study was to investigate and compare WHtR (Waist to Height Ratio) as a marker of diabetes and cardio-metabolic risks with existing classical anthropometric indices such as; Body Mass Index (BMI), Waist Circumference (WC) and Waist to Hip Ratio (WHR) in a large sub-population of ethnic South Asians., Methods: A total of 5000 subjects recruited from a nationally representative community-based sample using multi-stage random cluster-sampling method. Anthropometric, biochemical and clinical parameters were measured. Receiver-operating characteristic (ROC) curves were performed and area under the curve (AUC) was calculated for each anthropometric index., Results: Sample size was 4485. The mean WHtR in all adults was 0.496 (±0.077), males (0.477±0.065) had a significant lower WHtR than females (0.508±0.081) (p<0.001). WHtR had the highest correlation with metabolic parameters. In all adults, males and females the AUC of WHtR was significantly higher than that of BMI, WC and WHR in diabetes mellitus, pre-diabetes, hypertension, metabolic syndrome and hypercholesterolemia. Mean age, fasting blood glucose, 2-h post prandial blood Glucose, total cholesterol, LDL cholesterol, triglycerides, systolic blood pressure and diastolic blood pressure were all significantly higher among all adults, males and females with WHtR≥0.5., Conclusions: WHtR is a simple and effective anthropometric index to identify obesity associated metabolic risks among Sri Lankan adults., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)