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孕产妇饮食多样性与低出生体重几率:来自印度的实证研究结果

Maternal dietary diversity and odds of low birth weight: Empirical findings from India.

作者信息

Rammohan Anu, Goli Srinivas, Singh Deepti, Ganguly Dibyasree, Singh Uma

机构信息

a Department of Economics , University of Western Australia , Crawley , Australia.

b Department of Population Studies , Jawaharlal Nehru University , New Delhi , India.

出版信息

Women Health. 2019 Apr;59(4):375-390. doi: 10.1080/03630242.2018.1487903. Epub 2018 Aug 17.

Abstract

India has the highest proportion of low birth weight (LBW) babies born in the developing world. Poor maternal nutrition during pregnancy is associated with adverse infant health outcomes. The main objective of this paper was to assess the socioeconomic factors associated with dietary diversity among pregnant women and to investigate the association between maternal dietary diversity and LBW among their babies. The data for these analyses were derived from a survey conducted in November and December, 2014 among 230 women who had newly delivered in hospitals in Uttar Pradesh, the largest Indian state that has the poorest maternal outcomes in the country. The results from multivariate binary logistic regression model indicated that low maternal education and economic status was significantly associated with poor dietary diversity among participants. Also, women with low maternal dietary diversity had a significantly higher proportion of LBW babies compared to those in the medium to high dietary diversity categories. From a policy perspective, these findings suggest that continuous tracking of pregnant women's nutritional needs through existing monitoring systems, e.g., the Nutrition Resource Platform and Health Management Information System, and necessary interventions through Integrated Child Development Services may yield better results, thereby, addressing maternal under-nutrition and LBW.

摘要

在发展中国家,印度低出生体重婴儿的比例最高。孕期母亲营养不良与不良的婴儿健康结局相关。本文的主要目的是评估与孕妇饮食多样性相关的社会经济因素,并调查母亲饮食多样性与其婴儿低出生体重之间的关联。这些分析的数据来自于2014年11月和12月对印度北方邦230名刚在医院分娩的妇女进行的一项调查。北方邦是印度最大的邦,其孕产妇结局在该国最差。多变量二元逻辑回归模型的结果表明,母亲教育程度低和经济状况差与参与者饮食多样性差显著相关。此外,与饮食多样性处于中高水平的妇女相比,母亲饮食多样性低的妇女所生低出生体重婴儿的比例显著更高。从政策角度来看,这些发现表明,通过现有监测系统(如营养资源平台和健康管理信息系统)持续跟踪孕妇的营养需求,并通过综合儿童发展服务进行必要干预,可能会产生更好的效果,从而解决孕产妇营养不良和低出生体重问题。

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