{
    "abstract": "Polycystic ovary morphology (PCOM) is an ultrasonographic finding that can be present in women with ovulatory disorder and oligomenorrhea due to hypothalamic, pituitary, and ovarian dysfunction. 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.\nWe 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 (2004-2016) at Boston Medical Center. Machine learning text algorithms classified PCOM by ultrasound. We used geocoded home address to determine the ambient annual average PM\nCumulative exposure to PM\nIn this study of reproductive-aged women, we observed little association between PM",
    "authors": [
        {
            "affiliation": "Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. vfruh@hsph.harvard.edu.",
            "firstname": "Victoria",
            "initials": "V",
            "lastname": "Fruh"
        },
        {
            "affiliation": "Department of Biostatistics and Medical Informatics, University of Wisconsin, 702 West Johnson Street, Madison, WI, USA.",
            "firstname": "Jay Jojo",
            "initials": "JJ",
            "lastname": "Cheng"
        },
        {
            "affiliation": "Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.",
            "firstname": "Ann",
            "initials": "A",
            "lastname": "Aschengrau"
        },
        {
            "affiliation": "Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.\nObstetrics and Gynecology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114-2696, USA.",
            "firstname": "Shruthi",
            "initials": "S",
            "lastname": "Mahalingaiah"
        },
        {
            "affiliation": "Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA.",
            "firstname": "Kevin J",
            "initials": "KJ",
            "lastname": "Lane"
        }
    ],
    "conclusions": null,
    "copyrights": "\u00a9 2022. The Author(s).",
    "doi": "10.1186/s12940-022-00835-1",
    "journal": "Environmental health : a global access science source",
    "keywords": [
        "Air pollution",
        "Electronic medical records",
        "Fine particulate matter",
        "Polycystic ovary morphology (PCOM)"
    ],
    "methods": null,
    "publication_date": "2022-02-20",
    "pubmed_id": "35180862\n12447098\n14711538\n30621143\n14671196\n3056534\n8915662\n19589515\n11012575\n27375725\n21784736\n31538076\n20047015\n31504508\n28012404\n29136143\n26724803\n32951044\n16680486\n31806466\n32061980\n29377993\n23419929\n28584201\n31801197\n31827874\n32491847\n27023334\n26953851\n25343779\n11844364\n12615832\n1561343\n11790682\n21323584\n26381684\n23656383\n11157413\n25032469\n28726748\n32061980\n31739656\n16775158\n24345633\n19840990\n27445197\n20719841",
    "results": "Cumulative exposure to PM",
    "title": "Fine particulate matter and polycystic ovarian morphology.",
    "xml": "<Element 'PubmedArticle' at 0x7885066c6f70>"
}