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评估123个低收入和中等收入国家中与臭氧暴露相关的女性贫血风险:一项多中心流行病学研究。

Estimating the Risk of Women Anemia Associated with Ozone Exposure Across 123 Low- and Middle-Income Countries: A Multicenter Epidemiological Study.

作者信息

Tong Jiahui, Tong Mingkun, Kang Ning, Liu Feifei, Zhang Ke, Liang Wei, Peng Shouxin, Li Zhaoyuan, Xue Tao, Xiang Hao, Zhu Tong

机构信息

Department of Global Health School of Public Health Wuhan University, Wuhan 430071, China.

Global Health Institute School of Public Health Wuhan University, Wuhan 430071, China.

出版信息

Environ Sci Technol. 2025 Jan 14;59(1):132-141. doi: 10.1021/acs.est.4c07787. Epub 2025 Jan 2.

Abstract

Anemia in women of reproductive age (WRA) presents a pressing global public health issue, particularly in low- and middle-income countries (LMICs). Yet, the potential impact of ozone (O) exposure on anemia remains uncertain. The study included 1,467,887 eligible women from 83 surveys of 45 LMICs between 2004 to 2020. Monthly O exposure was estimated using machine learning, with the year preceding the survey as the primary exposure window. Fixed-effects models evaluated the association between O and anemia. An exposure-response function (ERF) was constructed using a varying-coefficient regression model, and then extrapolated to estimate the anemia burden in relation to O in 123 LMICs. In the fully adjusted regression model, each 10 ppb increase in annual O concentration was associated with an 8% elevation in anemia risk. The nonlinear ERF indicated a threshold effect of O on anemia at approximately 47.2 ppb. In 2020, more than 7.6 million anemic WRA (1.58%) in 123 LMICs were associated with O exposure. The potentially attributable burden has generally decreased from 2004 to 2020, notably in South Asia. Our findings highlight the importance of air pollution mitigation in LMICs to address anemia disparities among women.

摘要

育龄女性贫血是一个紧迫的全球公共卫生问题,在低收入和中等收入国家(LMICs)尤为突出。然而,臭氧(O)暴露对贫血的潜在影响仍不确定。该研究纳入了2004年至2020年间45个LMICs的83项调查中的1,467,887名符合条件的女性。使用机器学习估计每月的臭氧暴露量,以调查前一年作为主要暴露窗口。固定效应模型评估了臭氧与贫血之间的关联。使用变系数回归模型构建暴露-反应函数(ERF),然后外推以估计123个LMICs中与臭氧相关的贫血负担。在完全调整的回归模型中,年度臭氧浓度每增加10 ppb,贫血风险就会升高8%。非线性ERF表明,臭氧对贫血的阈值效应约为47.2 ppb。2020年,123个LMICs中超过760万贫血育龄女性(1.58%)与臭氧暴露有关。从2004年到2020年,潜在归因负担总体上有所下降,在南亚尤为明显。我们的研究结果强调了在LMICs减轻空气污染以解决女性贫血差异问题的重要性。

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