Asif Ali, Susanta Sen, Amit Banerjee, Namita Chakma
{"title":"Rural-urban differentials in undernutrition among women in India: Evidence from a decomposition approach.","authors":"Asif Ali, Susanta Sen, Amit Banerjee, Namita Chakma","doi":"10.1177/02601060241292401","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> Global healthcare and nutrition policies have not eliminated the pressing public health issue of undernutrition, which remains a paramount public health concern in countries like India, coinciding with overweight and obesity, in the form of dual burden of malnutrition. <b>Aim:</b> This study delves into the rural-urban differential in undernutrition among reproductive-aged women in India for targeted policy interventions and to achieve universal health coverage. <b>Methods:</b> Data from the recent iteration of the National Family Health Survey (NFHS-5; 2019-21) were utilized to examine the factors influencing rural-urban differentials in women's undernutrition. A set of logistic regression and Fairlie's decomposition analysis are employed to identify the associated covariates and understand the factors driving these differentials. <b>Results:</b> The analysis reveals that rural women are significantly more vulnerable to undernutrition compared to urban counterparts, with factors such as education, wealth status, age, and dietary diversity playing key roles. The decomposition analysis of the rural-urban gap revealed that the variables considered in the study accounted for approximately 75% of the disparity. The difference in household wealth between rural and urban areas contributed about 63% of the explained gap, followed by educational status (16%), age group (11%), dietary diversity (8%), religion (5%), and media exposure (4%). <b>Conclusion:</b> The findings underscore the importance of targeted interventions addressing socio-economic inequalities to mitigate undernutrition among women in India. Enhancing access to education, improving economic opportunities, promoting dietary diversity, and challenging cultural norms are crucial steps towards achieving equitable nutritional outcomes and reducing the existing rural-urban disparity.</p>","PeriodicalId":19352,"journal":{"name":"Nutrition and health","volume":" ","pages":"2601060241292401"},"PeriodicalIF":1.9000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition and health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/02601060241292401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Global healthcare and nutrition policies have not eliminated the pressing public health issue of undernutrition, which remains a paramount public health concern in countries like India, coinciding with overweight and obesity, in the form of dual burden of malnutrition. Aim: This study delves into the rural-urban differential in undernutrition among reproductive-aged women in India for targeted policy interventions and to achieve universal health coverage. Methods: Data from the recent iteration of the National Family Health Survey (NFHS-5; 2019-21) were utilized to examine the factors influencing rural-urban differentials in women's undernutrition. A set of logistic regression and Fairlie's decomposition analysis are employed to identify the associated covariates and understand the factors driving these differentials. Results: The analysis reveals that rural women are significantly more vulnerable to undernutrition compared to urban counterparts, with factors such as education, wealth status, age, and dietary diversity playing key roles. The decomposition analysis of the rural-urban gap revealed that the variables considered in the study accounted for approximately 75% of the disparity. The difference in household wealth between rural and urban areas contributed about 63% of the explained gap, followed by educational status (16%), age group (11%), dietary diversity (8%), religion (5%), and media exposure (4%). Conclusion: The findings underscore the importance of targeted interventions addressing socio-economic inequalities to mitigate undernutrition among women in India. Enhancing access to education, improving economic opportunities, promoting dietary diversity, and challenging cultural norms are crucial steps towards achieving equitable nutritional outcomes and reducing the existing rural-urban disparity.