{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T00:04:56Z","timestamp":1792800296008,"version":"4.5.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,10,12]],"date-time":"2023-10-12T00:00:00Z","timestamp":1697068800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,10,12]],"date-time":"2023-10-12T00:00:00Z","timestamp":1697068800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LGF20H040009"],"award-info":[{"award-number":["LGF20H040009"]}],"id":[{"id":"https:\/\/ror.org\/04aqat463","id-type":"ROR","asserted-by":"crossref"}]},{"name":"the Key Research and Development Projects in Zhejiang Province","award":["2019C03026"],"award-info":[{"award-number":["2019C03026"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Women's Health"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Abnormal uterine bleeding associated with ovulatory dysfunction (AUB-O) is a typical gynecological disease that can affect women of various ages. Being able to identify women at risk of AUB-O could allow physicians to take timely action. This study aimed to identify the influencing factors of AUB-O in Chinese women, and then develop and validate a predictive model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this multicenter case\u2013control study, 391 women with AUB-O and 838 controls who came from nine hospitals in Zhejiang province were recruited between April 2019 and January 2022. All the participants completed a structured questionnaire including general characteristics, lifestyle and habits, menstrual and reproductive history, and previous diseases. The predictive model was developed on a group of 822 women and validated on a group of 407 women. Logistic regression was adopted to investigate the influencing factors and develop the model, and validation was then performed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The independent predictive factors of AUB-O were age (OR 1.073, 95% CI 1.046\u20141.102,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.001), body mass index (OR 1.081, 95% CI 1.016\u20141.151,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.015), systolic blood pressure (OR 1.016, 95% CI 1.002\u20141.029,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.023), residence (OR 2.451, 95% CI 1.727\u20143.478,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.001), plant-based diet (OR 2.306, 95% CI 1.415\u20143.759,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.001), fruits eating (OR 1.887, 95% CI 1.282\u20142.776,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.001), daily sleep duration (OR 0.819; 95% CI 0.708\u20140.946,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.007), multiparous (parity\u2009=\u20091, OR 0.424, 95% CI 0.239\u20140.752,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.003; parity\u2009&gt;\u20091, OR 0.450, 95% CI 0.247\u20140.822,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.009), and history of ovarian cyst (OR 1.880, 95% CI 1.305\u20142.710,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.001). The predictive ability (area under the curve) in the development group was 0.77 (95% CI 0.74\u20140.81), while in the validation group it was 0.73 (95% CI 0.67\u20140.79). The calibration curve was in high coincidence with the standard curve in the development group, and similar to the validation group. A tool for AUB-O risk calculation was created.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Nine influencing factors and a predictive model were proposed in this study, which could identify women who are at high risk of developing AUB-O. This finding highlights the importance of early screening and the lifelong management of ovulatory disorders for women.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12905-023-02589-5","type":"journal-article","created":{"date-parts":[[2023,10,12]],"date-time":"2023-10-12T11:01:57Z","timestamp":1697108517000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction: a case-control study"],"prefix":"10.1186","volume":"23","author":[{"given":"Yue","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhou","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingxian","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunxiu","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yizhou","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Ruan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Ying","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linjuan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianhong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,10,12]]},"reference":[{"key":"2589_CR1","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1002\/ijgo.12666","volume":"143","author":"MG Munro","year":"2018","unstructured":"Munro MG, Critchley HOD, Fraser IS, the FIGO Menstrual Disorders Committee. 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