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印度超重和肥胖的城市化及地理差异:对2005 - 2006年印度人口健康调查的横断面分析

Urbanisation and geographic variation of overweight and obesity in India: a cross-sectional analysis of the Indian Demographic Health Survey 2005-2006.

作者信息

Siddiqui Saad T, Kandala Ngianga-Bakwin, Stranges Saverio

机构信息

Statistics and Epidemiology Team, Warwick Medical School, University of Warwick, Coventry, UK,

出版信息

Int J Public Health. 2015 Sep;60(6):717-26. doi: 10.1007/s00038-015-0720-9. Epub 2015 Jul 22.

Abstract

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.

摘要

目的

我们研究了印度全国范围内超重和肥胖的地理差异,以及一系列与体脂过多相关的潜在因素。

方法

我们基于161,050名年龄在18至54岁之间的个体,对2005 - 2006年印度人口与健康调查(IDHS)进行了横断面分析。使用多变量逻辑回归模型来确定超重和肥胖相对于正常体重及其相关因素的比值比(OR)。

结果

超重的总体患病率为12.4%,肥胖为3.2%,体重不足为26.5%。经过多变量调整后,城市地区肥胖的可能性几乎是农村地区的三倍(OR 2.73,95%可信区间2.53 - 2.94)。女性肥胖的可能性是男性的2.71倍(95%可信区间2.50 - 2.95)。较好的社会经济地位与超重和肥胖显著相关。在控制混杂因素后,超重(OR 1.38,95%可信区间1.31 - 1.47)和肥胖(OR 1.46,95%可信区间1.32 - 1.61)在印度南部地区最为常见。

结论

城市环境中超重/肥胖的高风险估计,以及印度的社会经济优势和由此导致的营养转型,为制定关于健康生活方式的公共卫生政策提供了有力依据,以避免与超重/肥胖相关的非传染性疾病负担不断增加。

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