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Associations of long-term exposure to fine particulate matter and its components with ovarian aging: Evidence from a
Zifeng Cao1, Xinyi Wu1, Hongyuan Liu1
1State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive, Medicine, Institute of Women, Children and Reproductive Health, Shandong University, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong 250012, China; Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, Shandong 250012, China; Shandong Technology Innovation Center for Reproductive Health, Jinan, Shandong 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong 250012, China; Shandong Key Laboratory of Reproductive Research and Birth Defect Prevention, Jinan, Shandong 250012, China; Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences (No.2021RU001), Jinan, Shandong 250012, China.
Abstract:
This study aimed to investigate associations between long-term exposure to PM2.5, or its constituents, and ovarian aging, assessed by age at natural menopause (ANM) and early menopause (EM) prevalence. A total of 15,345 postmenopausal women were recruited from an epidemiologic survey conducted across 12 provinces in China (2023-2024). Concentrations of air pollutants [PM2.5 mass, sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), organic matter (OM), and black carbon (BC)] were obtained from the Tracking Air Pollution in China database. Multivariable regression models with random effects and quantile g-computation models were used to evaluate associations. Each interquartile range increase in 5-year average concentrations of PM2.5, SO42-, NO3-, NH4+, OM, or BC were correlated with significant changes of -0.79 (95 %CI: -0.87, -0.72), -0.98 (95 %CI: -1.06, -0.90), -0.54 (95 %CI: -0.63, -0.45), -0.90 (95 %CI: -0.98, -0.81), -0.83 (95 %CI: -0.91, -0.76), and -1.02 (95 %CI: -1.09, -0.96) in ANM, respectively. Joint exposure analysis revealed that the five combined PM2.5 constituents shared a negative association with ANM in which BC provided the largest weight. These pollutants were also significantly associated with elevated EM prevalence, wherein BC provided the strongest contribution. The associations were stronger in women with a history of smoking, other hazardous environmental exposure, and lower education level.
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