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超越家庭和个人因素:探究印度环境空气污染与出生结局之间的关联。

Beyond household and individual factors: examining the association between ambient air pollution and birth outcomes in India.

作者信息

Bera Tapas, Rout Nihar Ranjan, Pradhan Jalandhar

机构信息

Department of Humanities and Social Sciences, National Institute of Technology Rourkela, Odisha, India.

Department of Geography, Fakir Mohan University, Balasore, Odisha, India.

出版信息

J Biosoc Sci. 2025 Jul;57(4):506-531. doi: 10.1017/S0021932025100370. Epub 2025 Jun 13.

Abstract

Low birth weight (LBW) and preterm birth (PTB) are primary factors contributing to morbidity and mortality among children aged under 5, resulting in a range of short- and long-term health consequences worldwide. Among the various risk factors, ambient air pollution poses a significant environmental risk and is a key determinant of child health. The prevalence of LBW and PTB among under 5 children sampled from the NFHS-5, 2019-2021, was combined with monthly PM data (2013-2021) obtained from the Atmospheric Composition Analysis Group at Washington University. Multivariable logistic regression models were used, and a stratified analysis was applied to understand the potential effect modifiers in LBW and PTB. Further, the geographical variation of LBW and PTB spatial autocorrelation (Moran's I) was used. Geographically weighted regression and ordinary least square spatial regression were used to identify the spatial heterogeneity associated with selected variables. The study comprises a total of 208,181 under 5 children. Out of these children, the LBW rate was 17.41%, and the rate of PTB was 12.42%. The in-utero exposure to the mean concentration of PM was 56.01 μg/m. The odds of suffering from LBW showed a non-linear shift when PM levels rose from the first octile (<28.02 μg/m) to the last octile (>93.84 μg/m) (adjusted odds ratio (AOR): 1.06, 95% CI: 1.01-1.12). While comparing the first octile of exposure to PM (>93.84 μg/m) to the last octile, there was a 52% more likelihood of having PTB (AOR: 1.52, 95% CI: 1.43-1.61) after accounting for all relevant factors. These findings highlight the urgent need for a thorough strategy to control the air quality in India. Further, to reduce adverse birth outcomes, longitudinal studies and other co-pollutants can consider assessing the possible mechanisms mediating the relationship between maternal exposure and ambient air pollution.

摘要

低出生体重(LBW)和早产(PTB)是导致5岁以下儿童发病和死亡的主要因素,在全球范围内造成一系列短期和长期健康后果。在各种风险因素中,环境空气污染构成重大环境风险,是儿童健康的关键决定因素。将2019 - 2021年全国第五次家庭健康调查(NFHS - 5)中抽取的5岁以下儿童的低出生体重和早产患病率,与从华盛顿大学大气成分分析小组获得的月度PM数据(2013 - 2021年)相结合。使用多变量逻辑回归模型,并进行分层分析以了解低出生体重和早产中的潜在效应修饰因素。此外,还利用了低出生体重和早产空间自相关(莫兰指数I)的地理变异。使用地理加权回归和普通最小二乘空间回归来识别与选定变量相关的空间异质性。该研究共纳入208,181名5岁以下儿童。在这些儿童中,低出生体重率为17.41%,早产率为12.42%。子宫内PM平均浓度暴露为56.01μg/m。当PM水平从第一个八分位数(<28.02μg/m)升至最后一个八分位数(>93.84μg/m)时,患低出生体重的几率呈现非线性变化(调整优势比(AOR):1.06,95%置信区间:1.01 - 1.12)。在考虑所有相关因素后,将PM暴露的第一个八分位数(>93.84μg/m)与最后一个八分位数进行比较时,发生早产的可能性高出52%(AOR:1.52,95%置信区间:1.43 - 1.61)。这些发现凸显了在印度制定全面空气质量控制策略的迫切需求。此外,为减少不良出生结局,纵向研究和其他共污染物可考虑评估介导母亲暴露与环境空气污染之间关系的可能机制。

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