Beyond the biological prime: Deciphering the link between child survival and maternal age in India

IF 2.2 3区 医学 Q2 ECONOMICS Economics & Human Biology Pub Date : 2024-08-22 DOI:10.1016/j.ehb.2024.101428
Muhammad Farhan Majid , Opinder Kaur , Anil B. Deolalikar
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Abstract

This paper investigates the impact of maternal age at birth on child mortality in India, the world's most populous country burdened with significant neonatal and infant mortality. Utilizing data from the latest National Family Health Surveys, covering around 1 million children, our analysis incorporates models with household and biological-mother fixed-effects to address unobserved heterogeneity. Outcomes include neonatal mortality (<28 days), infant mortality (<12 months), and under-5 mortality. Findings reveal a U-shaped relationship between maternal age and child mortality, with the highest risk for mothers below 17 and above 40 years old. Robustness checks confirm the enduring significance of maternal age even after adjusting for socioeconomic factors and time-variant unobservables. Moreover, models with biological-mother fixed-effects suggest higher risks compared to models that only control for observables, indicating that regressions without controls for time-invariant heterogeneity may underestimate the risks of maternal age at birth.

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超越生理年龄:解读印度儿童存活率与孕产妇年龄之间的联系
印度是世界上人口最多的国家,新生儿和婴儿死亡率居高不下,本文研究了印度产妇出生年龄对儿童死亡率的影响。利用最新的全国家庭健康调查(涵盖约 100 万名儿童)数据,我们的分析纳入了家庭和亲生母亲固定效应模型,以解决未观察到的异质性问题。结果包括新生儿死亡率(28 天)、婴儿死亡率(12 个月)和 5 岁以下儿童死亡率。研究结果表明,产妇年龄与儿童死亡率呈 U 型关系,17 岁以下和 40 岁以上的产妇风险最高。稳健性检验证实,即使在调整了社会经济因素和时间变量不可观测因素后,产妇年龄仍具有持久意义。此外,与只控制观察变量的模型相比,具有生物学母亲固定效应的模型表明风险更高,这表明不控制时间变量异质性的回归可能会低估产妇出生年龄的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Economics & Human Biology
Economics & Human Biology 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.50
自引率
12.00%
发文量
85
审稿时长
61 days
期刊介绍: Economics and Human Biology is devoted to the exploration of the effect of socio-economic processes on human beings as biological organisms. Research covered in this (quarterly) interdisciplinary journal is not bound by temporal or geographic limitations.
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