{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T12:24:39Z","timestamp":1766492679936},"reference-count":35,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2023,10,3]],"date-time":"2023-10-03T00:00:00Z","timestamp":1696291200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl J Gynecology &amp; Obste"],"published-print":{"date-parts":[[2024,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>To develop and validate a model to predict the preconception risk of gestational diabetes mellitus (GDM) in nulliparous women.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This was a retrospective cohort study. A total of 1565 women in early pregnancy who underwent preconception health examinations in the Women and Children's Hospital of Chongqing Medical University between January 2020 and June 2021 were invited to participate in a questionnaire survey. Logistic regression analysis was performed to determine the preconception risk factors for GDM. These factors were used to construct a model to predict GDM risk in nulliparous women. Then, the model was used to assess the preconception risk of GDM in 1060 nulliparous women.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Independent preconception risk factors for GDM included the following: age 35\u2009years or greater, diastolic blood pressure 80\u2009mm Hg or greater, fasting plasma glucose 5.1\u2009mmol\/L or greater, body mass index (BMI, calculated as weight in kilograms divided by the square of height in meters) 24 or greater, weight gain 10\u2009kg or greater in the year before pregnancy, age of menarche 15\u2009years or greater, three or more previous pregnancies, daily staple food intake 300\u2009g or greater, fondness for sweets, and family history of diabetes. BMI less than 18.5, daily physical activity duration 1\u2009h or greater, and high\u2010intensity physical activity were protective factors. These factors were used to construct a model to predict GDM risk in nulliparous women, and the incidence of GDM significantly increased as the risk score increased. The area under the curve of the prediction model was 0.82 (95% confidence interval 0.80\u20130.85).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The preconception GDM risk prediction model demonstrated good predictive efficacy and can be used to identify populations at high risk of GDM before pregnancy, which provides the possibility for preconception intervention.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ijgo.15134","type":"journal-article","created":{"date-parts":[[2023,10,4]],"date-time":"2023-10-04T08:36:42Z","timestamp":1696408602000},"page":"256-264","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Development and validation of a clinical model to predict preconception risk of gestational diabetes mellitus in nulliparous women: A retrospective cohort study"],"prefix":"10.1002","volume":"165","author":[{"given":"Fengzhen","family":"Jin","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children  Chongqing China"},{"name":"Department of Obstetrics and Gynecology Women and Children's Hospital of Chongqing Medical University  Chongqing China"},{"name":"National Key Clinical Specialty Construction Project (Obstetrics and Gynecology)  Chongqing China"},{"name":"Chongqing Research Center for Prevention &amp; 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