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While air pollution has emerged as a possible disrupter of hormone homeostasis, limited research has been conducted on the association between air pollution and PCOM.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>We conducted a longitudinal cohort study using electronic medical records data of 5,492 women with normal ovaries at the first ultrasound that underwent a repeated pelvic ultrasound examination during the study period (2004\u20132016) at Boston Medical Center. Machine learning text algorithms classified PCOM by ultrasound. We used geocoded home address to determine the ambient annual average PM<jats:sub>2.5<\/jats:sub> exposures and categorized into tertiles of exposure. We used Cox Proportional Hazards models on complete data (<jats:italic>n<\/jats:italic>\u2009=\u20093,994), adjusting for covariates, and additionally stratified by race\/ethnicity and body mass index (BMI).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Cumulative exposure to PM<jats:sub>2.5<\/jats:sub> during the study ranged from 4.9 to 17.5\u00a0\u00b5g\/m<jats:sup>3<\/jats:sup> (mean\u2009=\u200910.0\u00a0\u03bcg\/m<jats:sup>3<\/jats:sup>). On average, women were 31\u00a0years old and 58% were Black\/African American. Hazard ratios and 95% confidence intervals (CI) comparing the second and third PM<jats:sub>2.5<\/jats:sub> exposure tertile vs. the reference tertile were 1.12 (0.88, 1.43) and 0.89 (0.62, 1.28), respectively. No appreciable differences were observed across race\/ethnicity. Among women with BMI\u2009\u2265\u200930\u00a0kg\/m<jats:sup>2<\/jats:sup>, we observed weak inverse associations with PCOM for the second (HR: 0.93, 95% CI: 0.66, 1.33) and third tertiles (HR: 0.89, 95% CI: 0.50, 1.57).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>In this study of reproductive-aged women, we observed little association between PM<jats:sub>2.5<\/jats:sub> concentrations and PCOM incidence. No dose response relationships were observed nor were estimates appreciably different across race\/ethnicity within this clinically sourced cohort.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12940-022-00835-1","type":"journal-article","created":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T10:03:45Z","timestamp":1645178625000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Fine particulate matter and polycystic ovarian morphology"],"prefix":"10.1186","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1048-7230","authenticated-orcid":false,"given":"Victoria","family":"Fruh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jay Jojo","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ann","family":"Aschengrau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shruthi","family":"Mahalingaiah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin J.","family":"Lane","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,2,18]]},"reference":[{"issue":"11","key":"835_CR1","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1097\/00006254-200211000-00022","volume":"57","author":"JSE Laven","year":"2002","unstructured":"Laven JSE, Imani B, Eijkemans MJC, Fauser BCJM. 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