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Tong M, Lu H, Xu H, Fan X, Zhang JJ, Kelly FJ, Gong J, Han Y, Li P, Wang R, Li J, Zhu T, Xue T. Reduced human fecundity attributable to ambient fine particles in low- and middle-income countries. ENVIRONMENT INTERNATIONAL 2024; 189:108784. [PMID: 38852259 DOI: 10.1016/j.envint.2024.108784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 05/09/2024] [Accepted: 05/27/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND Exposure to ambient fine particulate matter (PM2.5) has been associated with reduced human fecundity. However, the attributable burden has not been estimated for low- and middle-income countries (LMICs), where the exposure-response function between PM2.5 and the infertility rate has been insufficiently studied. OBJECTIVE This study examined the associations between long-term exposure to PM2.5 and human fecundity indicators, namely the expected time to pregnancy (TTP) and 12-month infertility rate (IR), and then estimated PM2.5-attributable burden of infertility in LMICs. METHODS We analyzed 164,593 eligible women from 100 Demographic and Health Surveys conducted in 49 LMICs between 1999 and 2021. We assessed PM2.5 exposures during the 12 months before a pregnancy attempt using the global satellite-derived PM2.5 estimates produced by Atmospheric Composition Analysis Group (ACAG). First, we created a series of pseudo-populations with balanced covariates, given different levels of PM2.5 exposure, using a matching approach based on the generalized propensity score. For each pseudo-population, we used 2-stage generalized Gamma models to derive TTP or IR from the probability distribution of the questionnaire-based duration time for the pregnancy attempt before the interview. Second, we used spline regressions to generate nonlinear PM2.5 exposure-response functions for each of the two fecundity indicators. Finally, we applied the exposure-response functions to estimate number of infertile couples attributable to PM2.5 exposure in 118 LMICs. RESULTS Based on the Gamma models, each 10 µg/m3 increment in PM2.5 exposure was associated with a TTP increase by 1.7 % (95 % confidence interval [CI]: -2.3 %-6.0 %) and an IR increase by 2.3 % (95 %CI: 0.6 %-3.9 %). The nonlinear exposure-response function suggested a robust effect of an increased IR for high-concentration PM2.5 exposure (>75 µg/m3). Based on the PM2.5-IR function, across the 118 LMICs, the number of infertile couples attributable to PM2.5 exposure exceeding 35 µg/m3 (the first-stage interim target recommended by the World Health Organization global air quality guidelines) was 0.66 million (95 %CI: 0.061-1.43), accounting for 2.25 % (95 %CI: 0.20 %-4.84 %) of all couples affected by infertility. Among the 0.66 million, 66.5 % were within the top 10 % high-exposure infertile couples, mainly from South Asia, East Asia, and West Africa. CONCLUSION PM2.5 contributes significantly to human infertility in places with high levels of air pollution. PM2.5-pollution control is imperative to protect human fecundity in LMICs.
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Affiliation(s)
- Mingkun Tong
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Center, Beijing, China
| | - Hong Lu
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Center, Beijing, China
| | - Huiyu Xu
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Xinguang Fan
- Department of Sociology, Peking University, Beijing, China
| | - Junfeng Jim Zhang
- Nicholas School of the Environment, & Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Frank J Kelly
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK
| | - Jicheng Gong
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing, China
| | - Yiqun Han
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK
| | - Pengfei Li
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang, China
| | - Ruohan Wang
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jiajianghui Li
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Center, Beijing, China
| | - Tong Zhu
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing, China
| | - Tao Xue
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Center, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang, China; Center for Environment and Health, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
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Zhang C, Ma Y, Liu W, Ma S, Chen Z, Hao X, Sun Z, Wang Z. Transcriptomic and proteomic features of a mouse model of sperm DNA damage induced by benzo(a)pyrene. Reprod Toxicol 2024; 126:108596. [PMID: 38641015 DOI: 10.1016/j.reprotox.2024.108596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 04/05/2024] [Accepted: 04/16/2024] [Indexed: 04/21/2024]
Abstract
This study replicated a mouse model of sperm DNA damage induced by benzo(a)pyrene (BaP), and the transcriptomic and proteomic features of the model were examined to clarify the pathways related to BaP-induced damage to sperm DNA. Male mice in the BaP group were subjected to BaP at a dosage of 100 mg/kg/d or an equivalent quantity of saline solution in the control group for 60 days. Subsequently, the DNA fragmentation index (DFI) in sperm was assessed using a sperm chromatin structure assay (SCSA). RNA-seq and data-independent acquisition (DIA) were used to identify the mRNA and protein expression patterns in the testis. The sperm DFI significantly increased in the BaP group. Compared to the control group, the BaP group exhibited differential expression of 240 genes (referred to as DEGs) and 616 proteins (referred to as DEPs). These molecules included Aldh1a1, Cyb5r3, Fads1, Oxsm, Rcn3, and Prss45. Pathways in cancer, the PI3K-Akt signaling pathway, metabolic pathways, and the MAPK signaling pathway were the primary areas where these genes showed enrichment. BaP can damage the DNA of sperm and affect metabolism, the PI3K-Akt pathway, and pathways associated with cancer signaling.
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Affiliation(s)
- Chenming Zhang
- Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China; The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan 450003, China
| | - Yunfeng Ma
- Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China
| | - Wenbang Liu
- Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China
| | - Sicheng Ma
- Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China
| | - Zhelin Chen
- Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China
| | - XiaoHui Hao
- Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China
| | - Zixue Sun
- Henan Province Hospital of Traditional Chinese Medicine, 6 Dongfeng Road, Zhengzhou, Henan 450000, China.
| | - Zulong Wang
- The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan 450003, China.
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Zhang R, Zhao J, Zhang Y, Hong X, Zhang H, Zheng H, Wu J, Wang Y, Peng Z, Zhang Y, Jiang L, Zhao Y, Wang Q, Shen H, Zhang Y, Yan D, Wang B, Ma X. Association between fine particulate matter and fecundability in Henan, China: A prospective cohort study. ENVIRONMENT INTERNATIONAL 2024; 188:108754. [PMID: 38781703 DOI: 10.1016/j.envint.2024.108754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 05/14/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024]
Abstract
OBJECTIVE To investigate the relationship between ambient fine particulate matter (PM2.5) exposure and fecundability. METHODS This study included 751,270 female residents from Henan Province who participated in the National Free Pre-conception Check-up Projects during 2015-2017. Ambient cycle-specific PM2.5 exposure was assessed at the county level for each participant using satellite-based PM2.5 concentration data at 1-km resolution. Cox proportional hazards models with time-varying exposure were used to estimate the association between fecundability and PM2.5 exposure, adjusted for potential individual risk factors. RESULTS During the study period, 568,713 participants were pregnant, monthly mean PM2.5 concentrations varied from 25.5 to 114.0 µg/m3 across study areas. For each 10 µg/m3 increase in cycle-specific PM2.5, the hazard ratio for fecundability was 0.951 (95 % confidence interval: 0.950-0.953). The association was more pronounced in women who were older, with urban household registration, history of pregnancy, higher body mass index (BMI), hypertension, without exposure to tobacco, or whose male partners were older, with higher BMI, or hypertension. CONCLUSION In this population-based prospective cohort, ambient cycle-specific PM2.5 exposure was associated with reduced fecundability. These findings may support the adverse implications of severe air pollution on reproductive health.
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Affiliation(s)
- Rong Zhang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China
| | - Jun Zhao
- National Research Institute for Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China
| | - Yue Zhang
- National Research Institute for Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China
| | - Xiang Hong
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China
| | - Hongguang Zhang
- National Research Institute for Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China
| | - Hanyue Zheng
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China
| | - Jingwei Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, PA, United States
| | - Yuanyuan Wang
- National Research Institute for Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China
| | - Zuoqi Peng
- National Research Institute for Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China
| | - Ya Zhang
- National Research Institute for Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China
| | - Lifang Jiang
- Institute of Reproductive Health, Henan Academy of Innovations in Medical Science, NHC Key Laboratory of Birth Defects Prevention, Henan, China
| | - Yueshu Zhao
- The Third Affiliated Hospital of Zhengzhou University, Henan, China
| | - Qiaomei Wang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Haiping Shen
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Donghai Yan
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Bei Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu, China.
| | - Xu Ma
- National Research Institute for Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China.
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Delap N, Brunton KM, Metcalf K. The climate emergency is a matter of reproductive justice. BMJ 2024; 384:q354. [PMID: 38346798 DOI: 10.1136/bmj.q354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
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Qi XY, Yuan JD, Liu ZY, Jiang XQ, Zhang Q, Zhang SL, Zhao L, Ke LY, Zhang CY, Li Y, Zhang LY, Xu QQ, Liu ZH, Sun JT, Jin JX. Sirtuin 3-mediated deacetylation of superoxide dismutase 2 ameliorates sodium fluoride-induced mitochondrial dysfunction in porcine oocytes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168306. [PMID: 37944611 DOI: 10.1016/j.scitotenv.2023.168306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 11/12/2023]
Abstract
Fluoride exerts detrimental effects on germ cells and increases the infertility rate in women. Nevertheless, the precise mechanisms behind the developmental abnormalities caused by fluoride in oocytes remain poorly comprehended. The current study, we established mitochondrial damage model in oocytes via 50 μg/mL sodium fluoride (NaF) supplementation. We then examined the effects of honokiol in preventing mitochondrial deficits caused by NaF and investigated the mechanisms through which honokiol protects oocytes. The findings investigated that NaF increased levels of mitochondrial reactive oxygen species (mtROS) and hindered mitochondrial function, as evidenced by the dissipation of mitochondrial membrane potential, abnormal expression of mitochondrial DNA copy numbers, and mtDNA harm in oocytes. mtROS scavenging using Mito-TEMPO alleviated oxidative damage in mitochondria and restored the oocyte developmental competence. Superoxide dismutase 2 (SOD2) acetylation was significantly increased, whereas sirtuin 3 (SIRT3) expression was decreased in NaF-treated oocytes. The addition of honokiol helped in the deacetylation of SOD2 at K122 through SIRT3, resulting in the removal of excessive mtROS and the recovery of mitochondrial function. Therefore, SIRT3/SOD2 pathway aids honokiol in mitigating fluoride-induced mitochondrial dysfunction. Overall, honokiol improved the mitochondrial harm caused by NaF by controlling mtROS and mitochondrial function, with the SIRT3/SOD2 pathway having an important function. These findings suggest honokiol as a potential therapeutic strategy for NaF-induced oocyte development and mitochondrial deficits.
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Affiliation(s)
- Xin-Yue Qi
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Jin-Dong Yuan
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Zi-Yu Liu
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Xi-Qing Jiang
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Qi Zhang
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Shan-Long Zhang
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Lu Zhao
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Ling-Yan Ke
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Chen-Yuan Zhang
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Yan Li
- School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng, China
| | - Lu-Yan Zhang
- School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng, China
| | - Qian-Qian Xu
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Zhong-Hua Liu
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China.
| | - Jing-Tao Sun
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China.
| | - Jun-Xue Jin
- Key Laboratory of Animal Cellular and Genetics Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China.
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Wesselink AK, Hystad P, Kirwa K, Kaufman JD, Willis MD, Wang TR, Szpiro AA, Levy JI, Savitz DA, Rothman KJ, Hatch EE, Wise LA. Air pollution and fecundability in a North American preconception cohort study. ENVIRONMENT INTERNATIONAL 2023; 181:108249. [PMID: 37862861 PMCID: PMC10841991 DOI: 10.1016/j.envint.2023.108249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 09/18/2023] [Accepted: 10/04/2023] [Indexed: 10/22/2023]
Abstract
BACKGROUND Animal and epidemiologic studies indicate that air pollution may adversely affect fertility. However, the level of evidence is limited and specific pollutants driving the association are inconsistent across studies. METHODS We used data from a web-based preconception cohort study of pregnancy planners enrolled during 2013-2019 (Pregnancy Study Online; PRESTO). Eligible participants self-identified as female, were aged 21-45 years, resided in the United States (U.S.) or Canada, and were trying to conceive without fertility treatments. Participants completed a baseline questionnaire and bi-monthly follow-up questionnaires until conception or 12 months. We analyzed data from 8,747 participants (U.S.: 7,304; Canada: 1,443) who had been trying to conceive for < 12 cycles at enrollment. We estimated residential ambient concentrations of particulate matter < 2.5 µm (PM2.5), nitrogen dioxide (NO2), and ozone (O3) using validated spatiotemporal models specific to each country. We fit country-specific proportional probabilities regression models to estimate the association between annual average, menstrual cycle-specific, and preconception average pollutant concentrations with fecundability, the per-cycle probability of conception. We calculated fecundability ratios (FRs) and 95% confidence intervals (CIs) and adjusted for individual- and neighborhood-level confounders. RESULTS In the U.S., the FRs for a 5-µg/m3 increase in annual average, cycle-specific, and preconception average PM2.5 concentrations were 0.94 (95% CI: 0.83, 1.08), 1.00 (95% CI: 0.93, 1.07), and 1.00 (95% CI: 0.93, 1.09), respectively. In Canada, the corresponding FRs were 0.92 (95% CI: 0.74, 1.16), 0.97 (95% CI: 0.87, 1.09), and 0.94 (95% CI: 0.80, 1.09), respectively. Likewise, NO2 and O3 concentrations were not strongly associated with fecundability in either country. CONCLUSIONS Neither annual average, menstrual cycle-specific, nor preconception average exposure to ambient PM2.5, NO2, and O3 were appreciably associated with reduced fecundability in this cohort of pregnancy planners.
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Affiliation(s)
- Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States.
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Kipruto Kirwa
- Department of Environmental & Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States
| | - Joel D Kaufman
- Department of Environmental & Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States
| | - Mary D Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States; School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Tanran R Wang
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Adam A Szpiro
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, United States
| | - Jonathan I Levy
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States
| | - David A Savitz
- Department of Epidemiology, Brown University School of Public Health, Providence, MA, United States
| | - Kenneth J Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
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Xue T, Li J, Tong M, Fan X, Li P, Wang R, Li Y, Zheng Y, Li J, Guan T, Zhu T. Stillbirths attributable to open fires and their geographic disparities in non-Western countries. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 334:122170. [PMID: 37451590 DOI: 10.1016/j.envpol.2023.122170] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 07/06/2023] [Accepted: 07/08/2023] [Indexed: 07/18/2023]
Abstract
Due to global warming, an increased number of open fires is becoming a major contributor to PM2.5 pollution and thus a threat to public health. However, the burden of stillbirths attributable to fire-sourced PM2.5 is unknown. In low- and middle-income countries (LMICs), there is a co-occurrence of high baseline stillbirth rates and frequent firestorms, which may lead to a geographic disparity. Across 54 LMICs, we conducted a self-matched case-control study, making stillbirths comparable to the corresponding livebirths in terms of time-invariant characteristics (e.g., genetics) and duration of gestational exposure. We established a joint-exposure-response function (JERF) by simultaneously associating stillbirth with fire- and non-fire-sourced PM2.5 concentrations, which were estimated by fusing multi-source data, such as chemical transport model simulations and satellite observations. During 2000-2014, 35,590 pregnancies were selected from multiple Demographic and Health Surveys. In each mother, a case of stillbirth was compared to her livebirth(s) based on gestational exposure to fire-sourced PM2.5. We further applied the JERF to assess stillbirths attributable to fire-sourced PM2.5 in 136 non-Western countries. The disparity was evaluated using the Gini index. The risk of stillbirth increased by 17.4% (95% confidence interval [CI]: 1.6-35.7%) per 10 μg/m3 increase in fire-sourced PM2.5. In 2014, referring to a minimum-risk exposure level of 10 μg/m3, total and fire-sourced PM2.5 contributed to 922,860 (95% CI: 578,451-1,183,720) and 49,951 (95% CI: 3,634-92,629) stillbirths, of which 10% were clustered within the 6.4% and 0.6% highest-exposure pregnancies, respectively. The Gini index of stillbirths attributable to fire-sourced PM2.5 was 0.65, much higher than for total PM2.5 (0.28). Protecting pregnant women against PM2.5 exposure during wildfires is critical to avoid stillbirths, as the burden of fire-associated stillbirths leads to a geographic disparity in maternal health.
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Affiliation(s)
- Tao Xue
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China.
| | - Jiajianghui Li
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China.
| | - Mingkun Tong
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China.
| | - Xinguang Fan
- Department of Sociology, Peking University, Beijing, China.
| | - Pengfei Li
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang, China; National Institute of Health Data Science, Peking University, Beijing, China.
| | - Ruohan Wang
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China.
| | - Yanshun Li
- Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
| | - Yixuan Zheng
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing, China.
| | - Jiwei Li
- School of Computer Science, Zhejiang University, Hangzhou, China.
| | - Tianjia Guan
- Department of Health Policy, School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Tong Zhu
- College of Environmental Science and Engineering, Peking University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China.
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Leathersich SJ, Roche CS, Walls M, Nathan E, Hart RJ. Season at the time of oocyte collection and frozen embryo transfer outcomes. Hum Reprod 2023; 38:1714-1722. [PMID: 37407029 DOI: 10.1093/humrep/dead137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/28/2023] [Indexed: 07/07/2023] Open
Abstract
STUDY QUESTION Does the meteorological season at the time of oocyte retrieval affect live birth rates in subsequent frozen embryo transfers? SUMMARY ANSWER Frozen embryo transfers resulting from oocytes retrieved in summer have 30% increased odds of live birth compared to frozen embryo transfers resulting from oocytes retrieved in autumn, regardless of the season at the time of embryo transfer. WHAT IS KNOWN ALREADY Season at the time of frozen embryo transfer does not appear to be associated with live birth rate. One study in the northern hemisphere found increased odds of live birth with frozen embryo transfer resulting from oocytes collected in summer when compared to those collected in winter. STUDY DESIGN, SIZE, DURATION Retrospective cohort study including all frozen embryo transfers performed by a single clinic over eight years, from January 2013 to December 2021. There were 3659 frozen embryo transfers with embryos generated from 2155 IVF cycles in 1835 patients. Outcome data were missing for two embryo transfers, which were excluded from analysis. Outcomes were analysed by the season, temperatures, and measured duration of sunshine at the time of oocyte collection and at the time of frozen embryo transfer. PARTICIPANTS/MATERIALS, SETTING, METHODS There were no significant differences between patients with oocyte collection or embryo transfers in different seasons. Meteorological conditions on the day of oocyte collection and the day of frozen embryo transfer, and in the preceding 14- and 28-day periods, were collected including mean, minimum, and maximum temperatures, and recorded duration of sunshine hours. Clinical and embryological outcomes were analysed for their association with seasons, temperatures, and duration of sunshine with correction for repeated cycles per participant, age at the time of oocyte retrieval, and quadratic age. MAIN RESULTS AND THE ROLE OF CHANCE Compared to frozen embryo transfers with oocyte retrieval dates in autumn, transfers with oocyte retrieval dates in summer had 30% increased odds of live birth (odds ratio (OR): 1.30, 95% CI: 1.04-1.62) which remained consistent after adjustment for season at the time of embryo transfer. A high duration of sunshine hours (in the top tertile) on the day of oocyte retrieval was associated with a 28% increase in odds of live birth compared to duration of sunshine hours in the lowest tertile (OR 1.28, 95% CI: 1.06-1.53). Temperature on the day of oocyte retrieval did not independently affect the odds of live birth. The odds of live birth were decreased by 18% when the minimum temperature on the day of embryo transfer was high, compared with low (OR: 0.82, 95% CI: 0.69-0.99), which was consistent after correction for the conditions at the time of oocyte retrieval. LIMITATIONS, REASONS FOR CAUTION This was a retrospective cohort study, however, all patients during the study period were included and data was missing for only two patients. Given the retrospective nature, causation is not proven and there are other factors that may affect live birth rates and for which we did not have data and were unable to adjust, including pollutants and behavioural factors. We were also not able to stratify results based on specific patient populations (such as poor- or hyper-responders) nor report the cumulative live birth rate per commenced cycle. WIDER IMPLICATIONS OF THE FINDINGS These findings may be particularly relevant for patients planning oocyte or embryo cryopreservation. Given the increasing utilization of cryopreservation, identification of factors that influence outcomes in subsequent frozen embryo transfers has implications for future therapeutic and management options. Further studies to clarify the physiology underlying the influence of sunshine hours or season on subsequent frozen embryo transfer outcomes are required, including identification of specific populations that may benefit from these factors. STUDY FUNDING/COMPETING INTERESTS No funding was provided for this study. S.L. has received educational travel assistance from Besins, Merck and Organon outside the submitted work. R.H. is National Medical Director of City Fertility and Medical Director of Fertility Specialists of Western Australia, has received honoraria from MSD, Merck Serono, Origio and Ferring outside the submitted work, and has equity interests in CHA SMG. C.R., M.W., and E.N. declare that they have no conflicts of interest. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- S J Leathersich
- Department of Reproductive Medicine, King Edward Memorial Hospital, Subiaco, Australia
- City Fertility Australia, Claremont, Australia
- Fertility Specialists of Western Australia, Claremont, Australia
| | - C S Roche
- Department of Reproductive Medicine, King Edward Memorial Hospital, Subiaco, Australia
| | - M Walls
- City Fertility Australia, Claremont, Australia
- Fertility Specialists of Western Australia, Claremont, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Crawley, Australia
| | - E Nathan
- Division of Obstetrics and Gynaecology, The University of Western Australia, Crawley, Australia
| | - R J Hart
- Department of Reproductive Medicine, King Edward Memorial Hospital, Subiaco, Australia
- City Fertility Australia, Claremont, Australia
- Fertility Specialists of Western Australia, Claremont, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Crawley, Australia
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9
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Bongaerts E, Mamia K, Rooda I, Björvang RD, Papaikonomou K, Gidlöf SB, Olofsson JI, Ameloot M, Alfaro-Moreno E, Nawrot TS, Damdimopoulou P. Ambient black carbon particles in human ovarian tissue and follicular fluid. ENVIRONMENT INTERNATIONAL 2023; 179:108141. [PMID: 37603992 DOI: 10.1016/j.envint.2023.108141] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/10/2023] [Accepted: 08/09/2023] [Indexed: 08/23/2023]
Abstract
Evidence indicates a link between exposure to ambient air pollution and decreased female fertility. The ability of air pollution particles to reach human ovarian tissue and follicles containing the oocytes in various maturation stages has not been studied before. Particulate translocation might be an essential step in explaining reproductive toxicity and assessing associated risks. Here, we analysed the presence of ambient black carbon particles in (i) follicular fluid samples collected during ovum pick-up from 20 women who underwent assisted reproductive technology treatment and (ii) adult human ovarian tissue from 5 individuals. Follicular fluid and ovarian tissue samples were screened for the presence of black carbon particles from ambient air pollution using white light generation by carbonaceous particles under femtosecond pulsed laser illumination. We detected black carbon particles in all follicular fluid (n = 20) and ovarian tissue (n = 5) samples. Black carbon particles from ambient air pollution can reach the ovaries and follicular fluid, directly exposing the ovarian reserve and maturing oocytes. Considering the known link between air pollution and decreased fertility, the impact of such exposure on oocyte quality, ovarian ageing and fertility needs to be clarified urgently.
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Affiliation(s)
- Eva Bongaerts
- Centre for Environmental Sciences, Hasselt University, 3590 Hasselt, Belgium
| | - Katariina Mamia
- Division of Obstetrics and Gynaecology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 141 86 Huddinge, Sweden; Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, 141 86 Huddinge, Sweden
| | - Ilmatar Rooda
- Division of Obstetrics and Gynaecology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 141 86 Huddinge, Sweden; Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, 141 86 Huddinge, Sweden
| | - Richelle D Björvang
- Division of Obstetrics and Gynaecology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 141 86 Huddinge, Sweden; Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, 141 86 Huddinge, Sweden; Department of Women's and Children's Health, Uppsala University, 75185 Uppsala, Sweden
| | - Kiriaki Papaikonomou
- Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, 141 86 Huddinge, Sweden; Department of Women's and Children's Health, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Sebastian B Gidlöf
- Division of Obstetrics and Gynaecology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 141 86 Huddinge, Sweden; Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, 141 86 Huddinge, Sweden; Department of Women's and Children's Health, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Jan I Olofsson
- Department of Women's and Children's Health, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Marcel Ameloot
- Biomedical Research Institute, Hasselt University, 3590 Hasselt, Belgium
| | - Ernesto Alfaro-Moreno
- Nanosafety Group, International Iberian Nanotechnology Laboratory, 4715-330 Braga, Portugal
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, 3590 Hasselt, Belgium; Department of Public Health and Primary Care, KU Leuven, 3000 Leuven, Belgium
| | - Pauliina Damdimopoulou
- Division of Obstetrics and Gynaecology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 141 86 Huddinge, Sweden; Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, 141 86 Huddinge, Sweden.
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10
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Chalupka SM, Latter A, Trombley J. Climate and Environmental Change: A Generation at Risk. MCN Am J Matern Child Nurs 2023; 48:181-187. [PMID: 36943828 DOI: 10.1097/nmc.0000000000000924] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
ABSTRACT Climate and environmental changes have been described as the biggest global health threat of the 21st century, with the potential to cause immediate harm in early life with important lifelong effects, and important consequences for future generations. Pregnant women and children are increasingly being recognized as vulnerable populations in the context of climate change. The effects can be direct or indirect through heat stress, extreme weather events, and air pollution, potentially affecting both the immediate and long-term health of pregnant women and newborns through a broad range of mechanisms. Climate and environmental changes have wide-ranging effects on a woman's reproductive life including sexual maturation and fertility, pregnancy outcomes, lactation, breastfeeding, and menopause. A comprehensive overview of these impacts is presented as well as opportunities for interventions for nurses practicing in perinatal, neonatal, midwifery, and pediatric specialties.
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11
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Thampy D, Vieira VM. Association between traffic-related air pollution exposure and fertility-assisted births. ENVIRONMENTAL RESEARCH, HEALTH : ERH 2023; 1:021005. [PMID: 37124069 PMCID: PMC10133988 DOI: 10.1088/2752-5309/accd10] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/28/2023] [Accepted: 04/14/2023] [Indexed: 05/02/2023]
Abstract
Previous studies have suggested that traffic-related air pollution is associated with adverse fertility outcomes, such as reduced fecundability and subfertility. The purpose of this research is to investigate if PM2.5 exposure prior to conception or traffic-related exposures (traffic density and distance to nearest major roadway) at birth address is associated with fertility-assisted births. We obtained all live and still births from the Massachusetts state birth registry with an estimated conception date between January 2002 through December 2008. All births requiring fertility drugs or assisted reproductive technology were identified as cases. We randomly selected 2000 infants conceived each year to serve as a common control group. PM2.5 exposure was assessed using 4 km spatial satellite remote sensing, meteorological and land use spatiotemporal models at geocoded birth addresses for the year prior to conception. The mean PM2.5 level was 9.81 µg m-3 (standard deviation = 1.70 µg m-3), with a maximum of 14.27 µg m-3. We calculated crude and adjusted fertility treatment odds ratios (ORs) and 95% confidence intervals (CI) per interquartile range of 1.72 µg m-3 increase in PM2.5 exposure. Our final analyses included 10 748 fertility-assisted births and 12 225 controls. After adjusting for parental age, marital status, race, maternal education, insurance status, parity, and year of birth, average PM2.5 exposure during the year prior to conception was weakly associated with fertility treatment (OR: 1.01; 95% CI: 0.97, 1.05). Fertility-assisted births were inversely associated with traffic density (highest quartile compared to lowest quartile, OR: 0.92; 95% CI: 0.83, 1.02) and positively associated with distance from major roadway (OR per 100 m: 1.01; 95% CI: 1.00, 1.02) in adjusted analyses. We did not find strong evidence to support an adverse relationship between traffic-related air pollution exposure and fertility-assisted births.
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Affiliation(s)
- Daphne Thampy
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, United States of America
- Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States of America
| | - Verónica M Vieira
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, United States of America
- Author to whom any correspondence should be addressed
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12
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Seli DA, Taylor HS. The impact of air pollution and endocrine disruptors on reproduction and assisted reproduction. Curr Opin Obstet Gynecol 2023; 35:210-215. [PMID: 36924404 DOI: 10.1097/gco.0000000000000868] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
PURPOSE OF REVIEW Rapid increase in world population accompanied by global industrialization has led to an increase in deployment of natural resources, resulting in growing levels of pollution. Here, we review recent literature on the impact of environmental pollution on human reproductive health and assisted reproduction outcomes, focusing on two of the most common: air pollution and endocrine disruptors. RECENT FINDINGS Air pollution has been associated with diminished ovarian reserve, uterine leiomyoma, decreased sperm concentration and motility. Air pollution also correlates with decreased pregnancy rates in patients undergoing infertility treatment using in-vitro fertilization (IVF). Similarly, Bisphenol A (BPA), a well studied endocrine disrupting chemical, with oestrogen-like activity, is associated with diminished ovarian reserve, and abnormal semen parameters, while clinical implications for patients undergoing infertility treatment remain to be established. SUMMARY There is convincing evidence that environmental pollutants may have a negative impact on human health and reproductive potential. Air pollutions and endocrine disrupting chemicals found in water and food seem to affect male and female reproductive function. Large-scale studies are needed to determine the threshold values for health impact that may drive targeted policies.
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Affiliation(s)
| | - Hugh S Taylor
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut, USA
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13
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Willis MD, Wesselink AK, Hystad P, Pescador Jimenez M, Coleman CM, Kirwa K, Hatch EE, Wise LA. Associations between Residential Greenspace and Fecundability in a North American Preconception Cohort Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:47012. [PMID: 37098782 PMCID: PMC10132140 DOI: 10.1289/ehp10648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/16/2022] [Accepted: 03/13/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Residential green space can have positive physiological effects on human health through various mechanisms, including reducing stress and/or depression or facilitating physical activity. Although green space has been consistently associated with improved birth outcomes in several studies, there has been limited study of its effect on other reproductive outcomes, including fertility. OBJECTIVE We examined associations between residential green space and fecundability, the per-cycle probability of conception. METHODS We analyzed data from 8,563 female participants enrolled between 2013 and 2019 in Pregnancy Study Online (PRESTO), a prospective preconception cohort study of North American couples attempting conception. Participants completed a baseline questionnaire on sociodemographic, behavioral, and reproductive factors, and bimonthly follow-up questionnaires for up to 12 months to ascertain pregnancies. Using geocoded addresses, we calculated residential green space exposure using the Normalized Difference Vegetation Index (NDVI) within 50-, 100-, 250-, and 500 -m buffers across multiple temporal scales: annual maximum, seasonal maximum, and seasonal mean. We used proportional probabilities regression models to estimate fecundability ratios (FRs), adjusting for sociodemographic, behavioral, and neighborhood characteristics. We also evaluated the extent to which associations were mediated by reductions in perceived stress or depressive symptoms and increased physical activity. RESULTS When comparing the highest (≥ 0.8 ) with the lowest (< 0.2 ) NDVI exposures within 50 m , we observed positive associations in the annual maximum NDVI [FR: 1.33; 95% confidence interval (CI): 1.06, 1.67] and seasonal maximum NDVI (FR: 1.19; 95% CI: 1.00, 1.41) models, but little association in the seasonal mean NDVI models (FR: 0.98; 95% CI: 0.73, 1.30). Restricted cubic splines showed evidence of nonlinearity in this association. Results were similar across buffer distances. Perceived stress, depressive symptoms, and physical activity explained ≤ 5 : 0 % of mediation across all NDVI metrics. DISCUSSION In this cohort, greater residential green space was associated with a modest increase in fecundability. https://doi.org/10.1289/EHP10648.
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Affiliation(s)
- Mary D. Willis
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Amelia K. Wesselink
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Marcia Pescador Jimenez
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Chad M. Coleman
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Kipruto Kirwa
- Department of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, Massachusetts, USA
| | - Elizabeth E. Hatch
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Lauren A. Wise
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
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14
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Pang L, Yu W, Lv J, Dou Y, Zhao H, Li S, Guo Y, Chen G, Cui L, Hu J, Zhao Y, Zhao Q, Chen ZJ. Air pollution exposure and ovarian reserve impairment in Shandong province, China: The effects of particulate matter size and exposure window. ENVIRONMENTAL RESEARCH 2023; 218:115056. [PMID: 36521537 DOI: 10.1016/j.envres.2022.115056] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/03/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Lack of evidence exists on whether air pollution exposure may affect ovarian reserve, especially for Chinese women. OBJECTIVES To explore the association between exposure to various air pollutants and anti-Müllerian hormone (AMH), a predictor of ovarian reserve, over different exposure windows in Shandong Province, China. METHODS We enrolled 18,878 women who had AMH measurements in the Center for Reproductive Medicine, Shandong University during 2010-2019. Daily average concentrations of ambient particulate matter with diameters ≤1 μm/2.5 μm/10 μm (PM1, PM2.5, and PM10), nitrogen dioxide (NO2) and ozone (O3) were developed at a spatial resolution of 0.01° × 0.01°, and assigned to the residential addresses. Three exposure windows were considered, i.e., the process from primary to small antral follicle stage (W1), from primary to secondary follicle stage (W2), and from secondary to small antral follicle stage (W3). The air pollution-AMH association was fitted using the multivariable linear mixed effect model with adjustment for potential confounders. Stratified analyses were performed by age group, overweight status, residential region, and educational level. RESULTS The level of AMH changed by -8.8% (95% confidence interval (CI): -12.1%, -5.3%), -2.1% (95% CI: -3.5%, -0.6%), -1.9% (95% CI: -3.3%, -0.5%), and -4.5% (95% CI: -7.1%, -1.9%) per 10 μg/m3 increase in PM1, PM2.5, PM10, and NO2, respectively, during W1. The effect estimates were significant during W2 for PM1, PM2.5 and NO2 while minimal association was observed in W3. Greater vulnerability for certain air pollutants were observed for women who lived in inland areas and were less educated. CONCLUSIONS We found that ovarian reserve was negatively associated with air pollution exposure for women, particularly from the primary to secondary follicle stage. The effect estimate increased by the reduction in the diameter of PMs, which also varied across population sub-groups.
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Affiliation(s)
- Lihong Pang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, 250012, China
| | - Wenhao Yu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
| | - Jiale Lv
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, 250012, China
| | - Yunde Dou
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, 250012, China
| | - Han Zhao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, 250012, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Gongbo Chen
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Linlin Cui
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, 250012, China
| | - Jingmei Hu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, 250012, China
| | - Yueran Zhao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, 250012, China
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; Department of Epidemiology, IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany.
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China; Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250012, China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, Shandong, 250012, China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, 200135, China.
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15
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Gutvirtz G, Sheiner E. Airway pollution and smoking in reproductive health. Best Pract Res Clin Obstet Gynaecol 2022; 85:81-93. [PMID: 36333255 DOI: 10.1016/j.bpobgyn.2022.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 09/04/2022] [Indexed: 12/14/2022]
Abstract
Environmental exposure refers to contact with chemical, biological, or physical substances found in air, water, food, or soil that may have a harmful effect on a person's health. Almost all of the global population (99%) breathe air that contains high levels of pollutants. Smoking is one of the most common forms of recreational drug use and is the leading preventable cause of morbidity and mortality worldwide. The small particles from either ambient (outdoor) pollution or cigarette smoke are inhaled to the lungs and quickly absorbed into the bloodstream. These substances can affect virtually every organ in our body and have been associated with various respiratory, cardiovascular, endocrine, and also reproductive morbidities, including decreased fertility, adverse pregnancy outcomes, and offspring long-term morbidity. This review summarizes the latest literature reporting the reproductive consequences of women exposed to ambient (outdoor) air pollution and cigarette smoking.
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Affiliation(s)
- Gil Gutvirtz
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Soroka University Medical Center (SUMC), Department of Obstetrics and Gynecology B, Beer-Sheva, Israel.
| | - Eyal Sheiner
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Soroka University Medical Center (SUMC), Department of Obstetrics and Gynecology B, Beer-Sheva, Israel
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16
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Zhang Q, Meng X, Shi S, Kan L, Chen R, Kan H. Overview of particulate air pollution and human health in China: Evidence, challenges, and opportunities. Innovation (N Y) 2022; 3:100312. [PMID: 36160941 PMCID: PMC9490194 DOI: 10.1016/j.xinn.2022.100312] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/31/2022] [Indexed: 11/25/2022] Open
Abstract
Ambient particulate matter (PM) pollution in China continues to be a major public health challenge. With the release of the new WHO air quality guidelines in 2021, there is an urgent need for China to contemplate a revision of air quality standards (AQS). In the recent decade, there has been an increase in epidemiological studies on PM in China. A comprehensive evaluation of such epidemiological evidence among the Chinese population is central for revision of the AQS in China and in other developing countries with similar air pollution problems. We thus conducted a systematic review on the epidemiological literature of PM published in the recent decade. In summary, we identified the following: (1) short-term and long-term PM exposure increase mortality and morbidity risk without a discernible threshold, suggesting the necessity for continuous improvement in air quality; (2) the magnitude of long-term associations with mortality observed in China are comparable with those in developed countries, whereas the magnitude of short-term associations are appreciably smaller; (3) governmental clean air policies and personalized mitigation measures are potentially effective in protecting public and individual health, but need to be validated using mortality or morbidity outcomes; (4) particles of smaller size range and those originating from fossil fuel combustion appear to show larger relative health risks; and (5) molecular epidemiological studies provide evidence for the biological plausibility and mechanisms underlying the hazardous effects of PM. This updated review may serve as an epidemiological basis for China’s AQS revision and proposes several perspectives in designing future health studies. Acute effects of PM are smaller in China compared with developed countries Health effects caused by PM depend on particle composition, source, and size There are no thresholds for the health effects of PM Mechanistic studies support the biological plausibility of PM’s health effects
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Affiliation(s)
- Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Lena Kan
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, MD 21205, USA
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China.,Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China
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17
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Maternal exposure to PM2.5 decreases ovarian reserve in neonatal offspring mice through activating PI3K/AKT/FoxO3a pathway and ROS-dependent NF-κB pathway. Toxicology 2022; 481:153352. [DOI: 10.1016/j.tox.2022.153352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/07/2022] [Accepted: 10/10/2022] [Indexed: 11/19/2022]
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18
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Siegel EL, Ghassabian A, Hipwell AE, Factor-Litvak P, Zhu Y, Steinthal HG, Focella C, Battaglia L, Porucznik CA, Collingwood SC, Klein-Fedyshin M, Kahn LG. Indoor and outdoor air pollution and couple fecundability: a systematic review. Hum Reprod Update 2022; 29:45-70. [PMID: 35894871 PMCID: PMC9825271 DOI: 10.1093/humupd/dmac029] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 05/27/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Air pollution is both a sensory blight and a threat to human health. Inhaled environmental pollutants can be naturally occurring or human-made, and include traffic-related air pollution (TRAP), ozone, particulate matter (PM) and volatile organic compounds, among other substances, including those from secondhand smoking. Studies of air pollution on reproductive and endocrine systems have reported associations of TRAP, secondhand smoke (SHS), organic solvents and biomass fueled-cooking with adverse birth outcomes. While some evidence suggests that air pollution contributes to infertility, the extant literature is mixed, and varying effects of pollutants have been reported. OBJECTIVE AND RATIONALE Although some reviews have studied the association between common outdoor air pollutants and time to pregnancy (TTP), there are no comprehensive reviews that also include exposure to indoor inhaled pollutants, such as airborne occupational toxicants and SHS. The current systematic review summarizes the strength of evidence for associations of outdoor air pollution, SHS and indoor inhaled air pollution with couple fecundability and identifies gaps and limitations in the literature to inform policy decisions and future research. SEARCH METHODS We performed an electronic search of six databases for original research articles in English published since 1990 on TTP or fecundability and a number of chemicals in the context of air pollution, inhalation and aerosolization. Standardized forms for screening, data extraction and study quality were developed using DistillerSR software and completed in duplicate. We used the Newcastle-Ottawa Scale to assess risk of bias and devised additional quality metrics based on specific methodological features of both air pollution and fecundability studies. OUTCOMES The search returned 5200 articles, 4994 of which were excluded at the level of title and abstract screening. After full-text screening, 35 papers remained for data extraction and synthesis. An additional 3 papers were identified independently that fit criteria, and 5 papers involving multiple routes of exposure were removed, yielding 33 articles from 28 studies for analysis. There were 8 papers that examined outdoor air quality, while 6 papers examined SHS exposure and 19 papers examined indoor air quality. The results indicated an association between outdoor air pollution and reduced fecundability, including TRAP and specifically nitrogen oxides and PM with a diameter of ≤2.5 µm, as well as exposure to SHS and formaldehyde. However, exposure windows differed greatly between studies as did the method of exposure assessment. There was little evidence that exposure to volatile solvents is associated with reduced fecundability. WIDER IMPLICATIONS The evidence suggests that exposure to outdoor air pollutants, SHS and some occupational inhaled pollutants may reduce fecundability. Future studies of SHS should use indoor air monitors and biomarkers to improve exposure assessment. Air monitors that capture real-time exposure can provide valuable insight about the role of indoor air pollution and are helpful in assessing the short-term acute effects of pollutants on TTP.
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Affiliation(s)
- Eva L Siegel
- Columbia University, Mailman School of Public Health, New York, NY, USA
| | | | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Pam Factor-Litvak
- Columbia University, Mailman School of Public Health, New York, NY, USA
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | | | - Carolina Focella
- New York University Grossman School of Medicine, New York, NY, USA
| | - Lindsey Battaglia
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | | | - Linda G Kahn
- Correspondence address. E-mail: https://orcid.org/0000-0002-6512-6160
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19
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Vohra K, Marais EA, Bloss WJ, Schwartz J, Mickley LJ, Van Damme M, Clarisse L, Coheur PF. Rapid rise in premature mortality due to anthropogenic air pollution in fast-growing tropical cities from 2005 to 2018. SCIENCE ADVANCES 2022; 8:eabm4435. [PMID: 35394832 PMCID: PMC8993110 DOI: 10.1126/sciadv.abm4435] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 02/18/2022] [Indexed: 05/19/2023]
Abstract
Tropical cities are experiencing rapid growth but lack routine air pollution monitoring to develop prescient air quality policies. Here, we conduct targeted sampling of recent (2000s to 2010s) observations of air pollutants from space-based instruments over 46 fast-growing tropical cities. We quantify significant annual increases in nitrogen dioxide (NO2) (1 to 14%), ammonia (2 to 12%), and reactive volatile organic compounds (1 to 11%) in most cities, driven almost exclusively by emerging anthropogenic sources rather than traditional biomass burning. We estimate annual increases in urban population exposure to air pollutants of 1 to 18% for fine particles (PM2.5) and 2 to 23% for NO2 from 2005 to 2018 and attribute 180,000 (95% confidence interval: -230,000 to 590,000) additional premature deaths in 2018 (62% increase relative to 2005) to this increase in exposure. These cities are predicted to reach populations of up to 80 million people by 2100, so regulatory action targeting emerging anthropogenic sources is urgently needed.
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Affiliation(s)
- Karn Vohra
- School of Geography, Earth, and Environmental Sciences, University of Birmingham, Birmingham, UK
- Department of Geography, University College London, London, UK
- Corresponding author. (E.A.M.); (K.V.)
| | - Eloise A. Marais
- Department of Geography, University College London, London, UK
- Corresponding author. (E.A.M.); (K.V.)
| | - William J. Bloss
- School of Geography, Earth, and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Loretta J. Mickley
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Martin Van Damme
- Université libre de Bruxelles (ULB), Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Brussels, Belgium
| | - Lieven Clarisse
- Université libre de Bruxelles (ULB), Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Brussels, Belgium
| | - Pierre-F. Coheur
- Université libre de Bruxelles (ULB), Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Brussels, Belgium
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20
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Wesselink AK, Wang TR, Ketzel M, Mikkelsen EM, Brandt J, Khan J, Hertel O, Laursen ASD, Johannesen BR, Willis MD, Levy JI, Rothman KJ, Sørensen HT, Wise LA, Hatch EE. Air pollution and fecundability: Results from a Danish preconception cohort study. Paediatr Perinat Epidemiol 2022; 36:57-67. [PMID: 34890081 PMCID: PMC8712376 DOI: 10.1111/ppe.12832] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 09/24/2021] [Accepted: 10/08/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Animal and epidemiologic studies indicate that air pollution may adversely affect fertility. Epidemiologic studies have been restricted largely to couples undergoing fertility treatment or have retrospectively ascertained time-to-pregnancy among pregnant women. OBJECTIVES We examined the association between residential ambient air pollution and fecundability, the per-cycle probability of conception, in a large preconception cohort of Danish pregnancy planners. METHODS During 2007-2018, we used the Internet to recruit and follow women who were trying to conceive without the use of fertility treatment. Participants completed an online baseline questionnaire eliciting socio-demographic characteristics, lifestyle factors, and medical and reproductive histories and follow-up questionnaires every 8 weeks to ascertain pregnancy status. We determined concentrations of ambient nitrogen oxides (NOx ), nitrogen dioxide (NO2 ), carbon monoxide (CO), ozone (O3 ), particulate matter <2.5 µm (PM2.5 ) and <10 µm (PM10 ), and sulphur dioxide (SO2 ) at each participant's residential address. We calculated average exposure during the year before baseline, during each menstrual cycle over follow-up and during the entire pregnancy attempt time. We used proportional probabilities regression models to estimate fecundability ratios (FRs) and 95% confidence intervals (CIs), adjusting for potential confounders and co-pollutants. The analysis was restricted to the 10,183 participants who were trying to conceive for <12 cycles at study entry whose addresses could be geocoded. RESULTS During 12 months of follow-up, 73% of participants conceived. Higher concentrations of PM2.5 and PM10 were associated with small reductions in fecundability. For example, the FRs for a one interquartile range (IQR) increase in PM2.5 (IQR = 3.2 µg/m3 ) and PM10 (IQR = 5.3 µg/m3 ) during each menstrual cycle were 0.93 (95% CI: 0.87, 0.99) and 0.91 (95% CI: 0.84, 0.99), respectively. Other air pollutants were not appreciably associated with fecundability. CONCLUSIONS In this preconception cohort study of Danish women, residential exposures to PM2.5 and PM10 were associated with reduced fecundability.
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Affiliation(s)
- Amelia K. Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Tanran R. Wang
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom
| | - Ellen M. Mikkelsen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate, interdisciplinary Centre for Climate Change, Aarhus University, Aarhus, Denmark
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Roskilde, Denmark
| | - Ole Hertel
- Department of Ecoscience, Aarhus University, Denmark
| | - Anne Sofie D. Laursen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Benjamin R. Johannesen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Mary D. Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Jonathan I. Levy
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Kenneth J. Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Research Triangle Institute, Durham, NC, USA
| | - Henrik T. Sørensen
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Elizabeth E. Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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