TY - JOUR
T1 - Urbanisation and geographic variation of overweight and obesity in India
T2 - a cross-sectional analysis of the Indian Demographic Health Survey 2005–2006
AU - Siddiqui, Saad T.
AU - Kandala, Ngianga Bakwin
AU - Stranges, Saverio
N1 - Publisher Copyright:
© 2015, Swiss School of Public Health.
PY - 2015/9/7
Y1 - 2015/9/7
N2 - 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.
AB - 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.
KW - Epidemiology
KW - Geographic variation
KW - India
KW - Nutrition
KW - Obesity
KW - Risk factors
UR - http://www.scopus.com/inward/record.url?scp=84940958814&partnerID=8YFLogxK
U2 - 10.1007/s00038-015-0720-9
DO - 10.1007/s00038-015-0720-9
M3 - Article
C2 - 26198774
AN - SCOPUS:84940958814
SN - 1661-8556
VL - 60
SP - 717
EP - 726
JO - International Journal of Public Health
JF - International Journal of Public Health
IS - 6
ER -