Department of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, Punjab, India.
International Institute for Population Sciences, Mumbai, India.
Diabetes Metab Syndr. 2021 Jul-Aug;15(4):102166. doi: 10.1016/j.dsx.2021.06.003. Epub 2021 Jun 11.
National Family Health Survey (NFHS) conducted in India provide nationally comparable data on socio-demographic characteristics and anthropometric estimates. Present study was conducted to examine the prevalence of Indian adults who are living with overweight/obesity, their correlates, and trends observed between the last two rounds of the NFHS 2005-06 to 2015-16).
Socio-demographic characteristics and anthropometric estimates of respondents from NFHS round III & IV were analysed. Asian cut-offs were used for obesity classification. Of the total 198,754 and 811,808 eligible respondents, adults ≥18 years of age were included in the analysis. Prevalence and correlates were presented after taking into account stratification, clustering and sampling weights. GIS mapping was done to depict regional variations.
Prevalence of men and women living with overweight/obesity were observed to be 38.4% and 36.2% respectively. Wide variations were observed in prevalence across the regions of India. Results of multivariate analysis showed that the strongest predictors for being overweight or obese were older age, currently in union, higher education, richest wealth quintile, and living in urban areas.
The present study highlights the rising prevalence across the urban and rural locations and has implications for policy change based on the prevalence estimates.
印度进行的全国家庭健康调查(NFHS)提供了具有全国可比性的社会人口特征和人体测量估计数据。本研究旨在检查超重/肥胖印度成年人的流行情况、相关因素以及 NFHS 2005-06 年至 2015-16 年最后两轮之间观察到的趋势。
分析了 NFHS 第三轮和第四轮调查对象的社会人口特征和人体测量估计值。采用亚洲标准来进行肥胖分类。在总共 198754 和 811808 名符合条件的受访者中,将 18 岁及以上的成年人纳入分析。在考虑到分层、聚类和抽样权重后,报告了流行率和相关因素。进行地理信息系统(GIS)制图以描绘区域差异。
观察到男性和女性超重/肥胖的患病率分别为 38.4%和 36.2%。印度各地区的患病率存在很大差异。多变量分析的结果表明,超重或肥胖的最强预测因素是年龄较大、目前处于婚姻状态、受教育程度较高、最富裕的财富五分位数以及居住在城市地区。
本研究强调了城乡地区患病率的上升,并根据流行率估计对政策变化提出了建议。