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The impact of pre-pregnancy body mass index on the risk of gestational diabetes.

by Singh, Jasbir; Huang, Chun Chih; Driggers, Rita W; Timofeev, Julia; Amini, Dennis; Landy, Helain J; Miodovnik, Menachem; Umans, Jason G.
Citation: Journal of Maternal-Fetal & Neonatal Medicine. 25(1):5-10, 2012 Jan..Journal: The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians.ISSN: 1476-4954.Full author list: Singh J; Huang CC; Driggers RW; Timofeev J; Amini D; Landy HJ; Miodovnik M; Umans JG.UI/PMID: 21955004.Subject(s): *Body Mass Index | Case-Control Studies | *Diabetes, Gestational/ep [Epidemiology] | Diabetes, Gestational/eh [Ethnology] | Ethnic Groups | Female | Humans | Hypertension | Logistic Models | National Institutes of Health (U.S.) | Obesity/co [Complications] | Obesity/di [Diagnosis] | Odds Ratio | Parity | *Preconception Care | Pregnancy | Pregnancy Complications | Risk Factors | United StatesInstitution(s): MedStar Washington Hospital Center | MedStar Health Research InstituteDepartment(s): Obstetrics and Gynecology/Maternal-Fetal MedicineActivity type: Journal Article.Medline article type(s): Journal Article | Research Support, N.I.H., Extramural | Research Support, Non-U.S. Gov'tDigital Object Identifier: http://dx.doi.org/10.3109/14767058.2012.626920 (Click here) Abbreviated citation: J Matern Fetal Neonatal Med. 25(1):5-10, 2012 Jan.Local Holdings: Available online through MWHC library: 2013 to the present.Abstract: OBJECTIVE: To evaluate the effect of pre-pregnancy body mass index (BMI) on the risk of developing gestational diabetes mellitus (GDM) in a large unselected population.Abstract: METHODS: We performed a case control study using data collected in The Consortium on Safe Labor database. The association between BMI and GDM was evaluated both using BMI weight categories adopted by the National Institute of Health, and separately using BMI as a continuous variable. Multiple logistic regression analyses were used to evaluate the effects of BMI, age, ethnicity, parity, chronic hypertension and antenatal steroid use on the risk of GDM. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to approximate relative risks of GDM. A p value of <0.05 was considered significant.Abstract: RESULTS: After controlling for other factors, the risk of GDM increased with an increasing BMI across all weight categories. For each 1 kg/m(2) increase of BMI the OR of developing GDM was 1.08 (95% CI 1.08-1.09) and for each 5 kg/m(2) increase, the OR was 1.48 (95% CI 1.45-1.51).Abstract: CONCLUSIONS: GDM is a multifactorial disorder and pre-pregnancy BMI plays an important role in that risk. Modest 130912s in pre-pregnancy BMI may decrease the risk of GDM substantially.

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