Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
  • 1
    Online-Ressource
    Online-Ressource
    Hindawi Limited ; 2021
    In:  Journal of Diabetes Research Vol. 2021 ( 2021-5-10), p. 1-18
    In: Journal of Diabetes Research, Hindawi Limited, Vol. 2021 ( 2021-5-10), p. 1-18
    Kurzfassung: Gestational diabetes mellitus (GDM) is a major public health issue, and the aim of the present study was to identify the factors associated with GDM. Databases were searched for observational studies until August 20, 2020. Pooled odds ratios (ORs) were calculated using fixed- or random-effects models. 103 studies involving 1,826,454 pregnant women were identified. Results indicated that maternal   age ≥ 25 years (OR: 2.466, 95% CI: (2.121, 2.866)), prepregnancy overweight or obese (OR: 2.637, 95% CI: (1.561, 4.453)), family history of diabetes (FHD) (OR: 2.326, 95% CI: (1.904, 2.843)), history of GDM (OR: 21.137, 95% CI: (8.785, 50.858)), macrosomia (OR: 2.539, 95% CI: (1.612, 4.000)), stillbirth (OR: 2.341, 95% CI: (1.435, 3.819)), premature delivery (OR: 3.013, 95% CI: (1.569, 5.787)), and pregestational smoking (OR: 2.322, 95% CI: (1.359, 3.967)) increased the risk of GDM with all P 〈 0.05 , whereas history of congenital anomaly and abortion, and HIV status showed no correlation with GDM ( P 〉 0.05 ). Being primigravida (OR: 0.752, 95% CI: (0.698, 0.810), P 〈 0.001 ) reduced the risk of GDM. The factors influencing GDM included maternal   age ≥ 25 , prepregnancy overweight or obese, FHD, history of GDM, macrosomia, stillbirth, premature delivery, pregestational smoking, and primigravida.
    Materialart: Online-Ressource
    ISSN: 2314-6753 , 2314-6745
    Sprache: Englisch
    Verlag: Hindawi Limited
    Publikationsdatum: 2021
    ZDB Id: 2711897-6
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie auf den KOBV Seiten zum Datenschutz