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. 2022 Dec 10;851(Pt 2):158387.
doi: 10.1016/j.scitotenv.2022.158387. Epub 2022 Aug 29.

Impacts of traffic-related particulate matter pollution on semen quality: A retrospective cohort study relying on the random forest model in a megacity of South China

Xiaolin Yu  1 , Qiling Wang  2 , Jing Wei  3 , Qinghui Zeng  1 , Lina Xiao  1 , Haobo Ni  1 , Ting Xu  1 , Haisheng Wu  1 , Pi Guo  4 , Xinzong Zhang  5
Affiliations

Impacts of traffic-related particulate matter pollution on semen quality: A retrospective cohort study relying on the random forest model in a megacity of South China

Xiaolin Yu et al. Sci Total Environ. .

Abstract

Background: Emerging evidence shows the detrimental impacts of particulate matter (PM) on poor semen quality. High-resolution estimates of PM concentrations are conducive to evaluating accurate associations between traffic-related PM exposure and semen quality.

Methods: In this study, we firstly developed a random forest model incorporating meteorological factors, land-use information, traffic-related variables, and other spatiotemporal predictors to estimate daily traffic-related PM concentrations, including PM2.5, PM10, and PM1. Then we enrolled 1310 semen donors corresponding to 4912 semen samples during the study period from January 1, 2019, and December 31, 2019 in Guangzhou city, China. Linear mixed models were employed to associate individual exposures to traffic-related PM during the entire (0-90 lag days) and key periods (0-37 and 34-77 lag days) with semen quality parameters, including sperm concentration, sperm count, progressive motility and total motility.

Results: The results showed that decreased sperm concentration was associated with PM10 exposures (β: -0.21, 95 % CI: -0.35, -0.07), sperm count was inversely related to both PM2.5 (β: -0.19, 95 % CI: -0.35, -0.02) and PM10 (β: -0.19, 95 % CI: -0.33, -0.05) during the 0-90 days lag exposure window. Besides, PM2.5 and PM10 might diminish sperm concentration by mainly affecting the late phase of sperm development (0-37 lag days). Stratified analyses suggested that PBF and drinking seemed to modify the associations between PM exposure and sperm motility. We did not observe any significant associations of PM1 exposures with semen parameters.

Conclusion: Our results indicate that exposure to traffic-related PM2.5 and PM10 pollution throughout spermatogenesis may adversely affect semen quality, especially sperm concentration and count. The findings provided more evidence for the negative associations between traffic-related PM exposure and semen quality, highlighting the necessity to reduce ambient air pollution through environmental policy.

Keywords: Air pollutant; Machine learning; Particulate matter; Semen quality; Traffic-related pollution.

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Conflict of interest statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.