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Estimation of stillbirths attributable to ambient fine particles in 137 countries

Tao Xue, Mingkun Tong, Jiajianghui Li, Ruohan Wang, Tianjia Guan, Jiwei Li, Pengfei Li, Hengyi Liu, Hong Lu, Yanshun Li, Tong Zhu

2022Nature Communications43 citationsDOIOpen Access PDF

Abstract

Abstract Gestational exposure to ambient fine particles (PM 2.5 ) increases the risk of stillbirth, but the related disease burden is unknown, particularly in low- and middle-income countries (LMICs). We combine state-of-the-art estimates on stillbirths, and multiple exposure–response functions obtained from previous meta-analyses or derived by a self-matched case-control study in 54 LMICs. 13,870 stillbirths and 32,449 livebirths are extracted from 113 geocoded surveys from the Demographic and Health Surveys. Each stillbirth is compared to livebirth(s) of the same mother using a conditional logit regression. We find that 10 - µg/m 3 increase of PM 2.5 is associated with an 11.0% (95% confidence interval [CI] 6.4, 15.7) increase in the risk of stillbirth, and the association is significantly enhanced by maternal age. Based on age-specific nonlinear PM 2.5 –stillbirth curves, we evaluate the PM 2.5 -related stillbirths in 137 countries. In 2015, of 2.09 (95% CI: 1.98, 2.20) million stillbirths, 0.83 (0.54, 1.08) million or 39.7% (26.1, 50.8) are attributable to PM 2.5 exposure exceeding the reference level of 10 μg/m 3 . In LMICs, preventing pregnant women from being exposed to PM 2.5 can improve maternal health.

Topics & Concepts

Confidence intervalLogistic regressionMedicinePregnancyEstimationEnvironmental healthDemographyObstetricsBiologySociologyEconomicsGeneticsInternal medicineManagementAir Quality and Health ImpactsClimate Change and Health ImpactsEnergy and Environment Impacts
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