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印度男性成年人体重指数的差异:分位数回归分析

Variations in adult BMI among Indian men: a quantile regression analysis.

作者信息

Agnihotri Archana, Viswanathan Brinda

机构信息

Madras School of Economics, Kotturpuram, Chennai600025, TN, India.

出版信息

J Biosoc Sci. 2024 Mar;56(2):251-269. doi: 10.1017/S0021932023000202. Epub 2023 Oct 10.

Abstract

India has not only maintained its top position among countries with the largest number of underweight adults but has also jumped to a higher position among countries with largest increase in the proportion of overweight people in the last three decades. More studies focus on double burden of malnutrition among women than on men. This study uses the quantile regression model to analyse the covariates associated with low and high body mass index (BMI) primarily among men aged 20-54 years during 2015-2016 in India. Occupations that involve more manual work help in maintaining a normal BMI along with better education, dietary diversity, and less sedentary lifestyle. A gendered comparison of men and their spouses highlights the differences in the association of covariates with BMI for men and women. The results from this study will provide insights for behavioural change at an individual level and inputs for public health intervention for addressing ill health concerns arising from underweight, overweight, or obesity.

摘要

印度不仅在体重不足成年人数量最多的国家中保持首位,而且在过去三十年超重人口比例增幅最大的国家中也跃升至更高排名。相较于男性,更多研究关注女性营养不良的双重负担。本研究使用分位数回归模型,主要分析2015年至2016年印度20至54岁男性中与低体重指数(BMI)和高体重指数相关的协变量。涉及更多体力劳动的职业,连同更好的教育、饮食多样性和较少久坐的生活方式,有助于维持正常的BMI。对男性及其配偶的性别比较突出了协变量与男性和女性BMI关联的差异。本研究结果将为个体层面的行为改变提供见解,并为公共卫生干预提供投入,以解决因体重不足、超重或肥胖引起的健康问题。

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