International Institute for Population Sciences, Mumbai, India.
Department of Statistics, Federal University of Technology, Akure340271, Nigeria.
Public Health Nutr. 2021 Jul;24(10):2808-2822. doi: 10.1017/S1368980021001634. Epub 2021 Apr 20.
The current study explores the spatial patterns of underweight and overweight among adult men and women in districts of India and identifies the micro-geographical locations where the risks of underweight and overweight are simultaneously prevalent, after accounting for demographic and socio-economic factors.
We relied on BMI (weight (kg)/height squared (m2)), a measure of nutritional status among adult individuals, from the 2015-2016 National Family and Health Survey. Underweight was defined as <18·5 kg/m2 and overweight as ≥25·0 kg/m2.
We adopted Bayesian structured additive quantile regression to model the underlying spatial structure in underweight and overweight burden.
Men aged 15-54 years (sample size: 108 092) and women aged 15-49 years (sample size: 642 002).
About 19·7 % of men and 22·9 % of women were underweight, and 19·6 % of men and 20·6 % of women were overweight. Results indicate that malnutrition burden in adults exhibits geographical divides across the country. Districts located in the central, western and eastern regions show higher risks of underweight. There is evidence of substantial spatial clustering of districts with higher risk of overweight in southern and northern India. While finding a little evidence on double burden of malnutrition among population groups, we identified a total of sixty-six double burden districts.
The current study demonstrates that the geographical burden of overweight in Indian adults is yet to surpass that of underweight, but the coexistence of double burden of underweight and overweight in selected regions presents a new challenge for improving nutritional status and necessitates specialised policy initiatives.
本研究旨在探讨印度各地区成年男性和女性体重过轻和超重的空间分布模式,并在考虑人口和社会经济因素后,确定同时存在体重过轻和超重风险的微观地理位置。
我们依赖于 BMI(体重(kg)/身高平方(m2)),这是衡量成年个体营养状况的指标,来自 2015-2016 年全国家庭和健康调查。体重过轻定义为<18.5 kg/m2,超重定义为≥25.0 kg/m2。
我们采用贝叶斯结构加性分位数回归来模拟体重过轻和超重负担的潜在空间结构。
年龄在 15-54 岁的男性(样本量:108092 人)和年龄在 15-49 岁的女性(样本量:642002 人)。
约 19.7%的男性和 22.9%的女性体重过轻,19.6%的男性和 20.6%的女性超重。结果表明,成年人的营养不良负担在全国范围内存在地域差异。位于中部、西部和东部地区的地区体重过轻的风险较高。在印度南部和北部,存在高超重风险地区存在大量空间聚类的证据。虽然在人群中发现了一些营养不良双重负担的证据,但我们总共确定了 66 个双重负担地区。
本研究表明,印度成年人超重的地理负担尚未超过体重过轻,但在选定地区同时存在体重过轻和超重的双重负担,这对改善营养状况提出了新的挑战,需要专门的政策举措。