归一化差异植被指数
低出生体重
优势比
医学
人口学
逻辑回归
怀孕
环境卫生
地理
生物
生态学
气候变化
内科学
社会学
遗传学
作者
Siqi Luo,Yaqi Wang,Fatemeh Mayvaneh,Hélder Relvas,Mohammad Baaghideh,Kai Wang,Yuan Yang,Zhouxin Yin,Yunquan Zhang
标识
DOI:10.1038/s41467-023-43425-6
摘要
Abstract The nexus between prenatal greenspace exposure and low birth weight (LBW) remains largely unstudied in low- and middle-income countries (LMICs). We investigated a nationwide retrospective cohort of 4,021,741 live births (263,728 LBW births) across 31 provinces in Iran during 2013–2018. Greenness exposure during pregnancy was assessed using satellite-based normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). We estimated greenness-LBW associations using multiple logistic models, and quantified avoidable LBW cases under scenarios of improved greenspace through counterfactual analyses. Association analyses provide consistent evidence for approximately L-shaped exposure-response functions, linking 7.0–11.5% declines in the odds of LBW to each 0.1-unit rise in NDVI/EVI with multiple buffers. Assuming causality, 3931–5099 LBW births can be avoided by achieving greenness targets of mean NDVI/EVI, amounting to 4.4–5.6% of total LBW births in 2015. Our findings suggest potential health benefits of improved greenspace in lowering LBW risk and burden in LMICs.
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