Maternal body mass index and risk of fetal overgrowth in women with gestational diabetes Mellitus in Southeast China: a retrospective cohort study

Diabetology & Metabolic Syndrome

Research

Libo Xu¹  Lihua Lin²  Jianhang Wu³  Jianqi Fang⁴  Juan Lin⁴ 

[1] Department of Computer center, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, 350001, Fuzhou, Fujian Province, P.R. China;Department of Healthcare, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, 350001, Fuzhou, Fujian Province, P.R. China;Department of Ultrasonography, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, 350001, Fuzhou, Fujian Province, P.R. China;Department of women’s health care, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, 350001, Fuzhou, Fujian Province, P.R. China;

关键词: Body mass index change;    Large for gestational age;    Gestational diabetes mellitus;   

DOI  :  10.1186/s13098-023-01093-y

 received in 2023-03-10, accepted in 2023-05-22,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundTo investigate the relationship between body mass index (BMI) changes and large for gestational age (LGA) in women with gestational diabetes mellitus (GDM).MethodsA retrospective cohort study including 10,486 women with GDM was conducted. A dose‒response analysis of BMI changes and the occurrence of LGA was performed. Binary logistic regressions were performed to assess crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were used to assess the ability of BMI changes to predict LGA.ResultsThe probability of LGA increased with increasing BMI. The risk of LGA increased across the BMI change quartiles. The BMI change remained positively associated with the risk of LGAafter stratification analysis. The AUC was 0.570 (95% CI: 0.557 ~ 0.584)in the entire study population, and the best optimal predictive cut-off value was 4.922, with a sensitivity of 0.622 and a specificity of 0.486. The best optimal predictive cut-off value decreased from the underweight group to the overweight and obese group.ConclusionsBMI changes are related to the risk of LGA and may be a useful predictor of the incidence of LGA in singleton pregnant women with GDM.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

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