caa a22 4500 606221778 CHVBK 20210128101130.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00038-015-0720-9 doi (NATIONALLICENCE)springer-10.1007/s00038-015-0720-9 Urbanisation and geographic variation of overweight and obesity in India: a cross-sectional analysis of the Indian Demographic Health Survey 2005-2006 [Elektronische Daten] [Saad Siddiqui, Ngianga-Bakwin Kandala, Saverio Stranges] Objectives: We examined the nationwide geographic variation of overweight and obesity in India, as well as a range of potential correlates of excess body fat. Methods: We conducted cross-sectional analyses of the 2005-2006 Indian Demographic Health Survey (IDHS), based on 161,050 individuals (age range 18-54 years). Multivariate logistic regression models were used to determine odds ratios (OR) of overweight and obesity compared to normal weight with associated correlates. Results: The overall prevalence was 12.4% for overweight, 3.2% for obesity, and 26.5% for underweight. After multivariate adjustment, obesity was nearly thrice more likely in urban areas than in rural (OR 2.73, 95% CI 2.53-2.94). Women were 2.71 times more likely to be obese than men (95% CI 2.50-2.95). Better socioeconomic status was significantly associated with overweight and obesity. Overweight (OR 1.38, 95% CI 1.31-1.47) and obesity (OR 1.46, 95% CI 1.32-1.61) were most likely to occur in India's Southern zone, when controlled for confounding factors. Conclusions: High-risk estimates for overweight/obesity in urban settings, along with socioeconomic prowess in India and the resulting nutritional transition make a compelling case for public health policy on healthy lifestyles to avert the growing burden of non-communicable diseases associated with overweight/obesity. Swiss School of Public Health, 2015 India nationallicence Epidemiology nationallicence Nutrition nationallicence Obesity nationallicence Risk factors nationallicence Geographic variation nationallicence Siddiqui Saad Statistics and Epidemiology Team, Warwick Medical School, University of Warwick, Coventry, UK aut Kandala Ngianga-Bakwin Statistics and Epidemiology Team, Warwick Medical School, University of Warwick, Coventry, UK aut Stranges Saverio Population Health Department, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, 1445, Strassen, Luxembourg aut International Journal of Public Health Springer Basel 60/6(2015-09-01), 717-726 1661-8556 60:6<717 2015 60 38 https://doi.org/10.1007/s00038-015-0720-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00038-015-0720-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Siddiqui Saad Statistics and Epidemiology Team, Warwick Medical School, University of Warwick, Coventry, UK aut NATIONALLICENCE 700 1- Kandala Ngianga-Bakwin Statistics and Epidemiology Team, Warwick Medical School, University of Warwick, Coventry, UK aut NATIONALLICENCE 700 1- Stranges Saverio Population Health Department, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, 1445, Strassen, Luxembourg aut NATIONALLICENCE 773 0- International Journal of Public Health Springer Basel 60/6(2015-09-01), 717-726 1661-8556 60:6<717 2015 60 38