PMID- 37924883 OWN - NLM STAT- MEDLINE DCOM- 20231127 LR - 20231127 IS - 1879-1026 (Electronic) IS - 0048-9697 (Linking) VI - 908 DP - 2024 Jan 15 TI - Association of ambient air pollution and pregnancy rate among women undergoing assisted reproduction technology in Fujian, China: A retrospective cohort study. PG - 168287 LID - S0048-9697(23)06914-0 [pii] LID - 10.1016/j.scitotenv.2023.168287 [doi] AB - BACKGROUND: Previous studies have reported the impact of ambient air pollutants on assisted reproduction. They concentrated on highly polluted environments and individual pollutants. It is unclear whether these effects continue at lower levels and as mixed effects. We aimed to study the influence of lower pollutant concentrations on pregnancy rates and identify vulnerable populations. METHODS: We conducted a retrospective cohort study involving 9465 patients with infertility who received treatment from a local hospital between 2015 and 2021. Daily average levels of six pollutants (PM(2.5), PM(10), NO(2), CO, SO(2), and O(3)) were collected from air quality monitoring stations. We employed generalized linear regression models (logistic, linear, and lasso), weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) to assess the impact of pollutants on pregnancy rates. Additionally, stratified analyses were performed to identify potentially vulnerable populations. RESULTS: Findings from the generalized linear models revealed a significant negative correlation between interquartile range increment exposure to PM(2.5) (OR = 1.17, 95 % CI = 1.09-1.26), PM(10) (OR = 1.18, 95 % CI = 1.11-1.26), NO(2) (OR = 1.21, 95 % CI = 1.13-1.30), CO (OR = 1.02, 95 % CI = 1.00-1.03), SO(2) (OR = 1.11, 95 % CI = 1.05-1.17) and pregnancy rate when considering the effects of individual pollutants. The WQS index exhibited a negative correlation with pregnancy rates and the number of oocytes retrieved (aOR = 1.20, 95 % CI = 1.08-1.34). BKMR analyses indicated an overall significant trend of decreasing pregnancy rates as pollutant concentrations increased across percentiles. Stratified analysis unveiled heightened sensitivity to pollutants among individuals aged >/=35 years. CONCLUSIONS: By comparing results obtained from diverse models, we observed that exposure to lower levels of air pollutants led to decreased pregnancy rates. Notably, PM(10), NO(2), SO(2), and CO emerged as the four most prominent pollutants in this context. Moreover, stratified analyses highlighted that individuals aged >/=35 years exhibited heightened susceptibility to pollutants. CI - Copyright (c) 2023 Elsevier B.V. All rights reserved. FAU - Fang, Hua AU - Fang H AD - Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. FAU - Jiang, Dongdong AU - Jiang D AD - Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. FAU - He, Ye AU - He Y AD - Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. FAU - Wu, Siyi AU - Wu S AD - Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. FAU - Li, Yuehong AU - Li Y AD - Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China; Fujian Key Laboratory of Prenatal Diagnosis and Birth Defect, Fuzhou, Fujian, China. FAU - Zhang, Ziqi AU - Zhang Z AD - Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. FAU - Chen, Haoting AU - Chen H AD - Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. FAU - Zheng, Zixin AU - Zheng Z AD - Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. FAU - Sun, Yan AU - Sun Y AD - Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China; Fujian Key Laboratory of Prenatal Diagnosis and Birth Defect, Fuzhou, Fujian, China. FAU - Wang, Wenxiang AU - Wang W AD - Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. Electronic address: wangwenxiang@fjmu.edu.cn. LA - eng PT - Journal Article DEP - 20231103 PL - Netherlands TA - Sci Total Environ JT - The Science of the total environment JID - 0330500 RN - S7G510RUBH (Nitrogen Dioxide) RN - 0 (Air Pollutants) RN - 0 (Particulate Matter) SB - IM MH - Pregnancy MH - Humans MH - Female MH - Pregnancy Rate MH - Retrospective Studies MH - Nitrogen Dioxide/analysis MH - Bayes Theorem MH - *Air Pollution/analysis MH - *Air Pollutants/analysis MH - Particulate Matter/analysis MH - Reproduction MH - Technology MH - China/epidemiology OTO - NOTNLM OT - Ambient air pollution OT - Assisted reproduction technology OT - Bayesian kernel machine regression (BKMR) OT - Mixed effect COIS- 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. EDAT- 2023/11/05 00:42 MHDA- 2023/11/27 12:44 CRDT- 2023/11/04 20:13 PHST- 2023/09/06 00:00 [received] PHST- 2023/10/19 00:00 [revised] PHST- 2023/10/31 00:00 [accepted] PHST- 2023/11/27 12:44 [medline] PHST- 2023/11/05 00:42 [pubmed] PHST- 2023/11/04 20:13 [entrez] AID - S0048-9697(23)06914-0 [pii] AID - 10.1016/j.scitotenv.2023.168287 [doi] PST - ppublish SO - Sci Total Environ. 2024 Jan 15;908:168287. doi: 10.1016/j.scitotenv.2023.168287. Epub 2023 Nov 3.