Association of PM2.5 mass and its components with ovarian reserve in a northern peninsular province, China: The critical exposure period and components

卵巢储备 四分位间距 窦卵泡 人口 抗苗勒氏激素 医学 人口学 生物 生理学 环境卫生 不育 内科学 卵巢 激素 怀孕 遗传学 社会学
作者
Lihong Pang,Mengqi Jiang,Xinlei Sui,Yunde Dou,Wenhao Yu,Rachel Huxley,Paulo Hilário Nascimento Saldiva,Jie Hu,Tamara Schikowski,Thomas Krafft,Panjun Gao,Yong Zhao,Zhiyu Han,Qi Zhao,Zi‐Jiang Chen
出处
期刊:Journal of Hazardous Materials [Elsevier]
卷期号:462: 132735-132735
标识
DOI:10.1016/j.jhazmat.2023.132735
摘要

A possible role of PM2.5 components on ovarian reserve has not been adequately unexplored.To evaluate the association between PM2.5 components and women' ovarian reserve over critical exposure periods in northern China, where the level of air pollution is among the nation's highest.We included 15,102 women with serum anti-Müllerian hormone (AMH) measurements from the Center for Reproductive Medicine of Shandong University during 2015-2019. Concentrations of PM2.5 and its five major components (0.1° × 0.1°), including sulfate, nitrate, ammonium, organic matter, and black carbon, were assigned to each residential address. Multivariable linear mixed effect models combined with constituent-residual models were performed to estimate the effect sizes of essential components over six short- to long-term exposure periods.The strength of association was stronger during the process from primary to small antral follicle compared with other longer windows. For every interquartile range increase in PM2.5 mass was associated with - 8.7% (95%CI: -12.3%, -4.9%) change in AMH and the effect size was greatest for sulfate. Women with the lower level of attained education and those living inland were more susceptible compared with other population subgroups.Exposure to specific components of air pollution during critical exposure windows is associated with a decline in ovarian reserve. These data add to the growing body of evidence that environmental factors have adverse effects on reproductive health, particularly for vulnerable population subgroups.
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