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Independent and Combined Effects of Body Composition Analysis and Body Mass Index on Predicting Risk of Gestational Diabetes Mellitus

Honghui Ou

1Department of gynecology and obstetrics, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai 200233, China.

2Department of gynecology in the fifth afflicted hospital of Sun Yat-sen University, 52 East meihua road, Zhuhai 519000, China.

*Corresponding author: Honghui Ou

Date: September 7,2022 Hits: 252


Objective: To investigate the association between changes in body composition components during pregnancy and the risk of gestational diabetes mellitus (GDM). Methods: A total of 996 pregnant women participated in the body composition measurement before 28 weeks’ gestation (WG) finally recruited into a retrospective cohort study from July 2015 to March 2019. The complete statistical data were collected from hospital electronic medical record system and analyzed in R environment and SPSS. Logistic regression analysis was employed to explore the relationships between maternal body composition and the risk of GDM morbidity. Results: Logistic regression analysis showed multiple predisposing factors of GDM may be: age ≥35 years old, pre-pregnancy BMI ≥28 kg/m2, body fat mass percentage (FMP) ≥24.63%, intracellular fluid ≥ 12.795kg before 28 weeks of pregnancy. In pregnant women with FMP ≥24.63%, the incidence of GDM was 39.80% and dystocia (54.89%), postpartum hemorrhage (15.79%), macrosomia (14.67%), which were significantly higher than in the lower FMP group. Conclusion: Body composition analysis can be a simple, convenient and noninvasive method used for weight monitoring during pregnancy and risk assessment of GDM occurrence.


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Independent and Combined Effects of Body Composition Analysis and Body Mass Index on Predicting Risk of Gestational Diabetes Mellitus

How to cite this paper: Honghui Ou. (2022) Independent and Combined Effects of Body Composition Analysis and Body Mass Index on Predicting Risk of Gestational Diabetes Mellitus. International Journal of Clinical and Experimental Medicine Research6(4), 340-351.

DOI: http://dx.doi.org/10.26855/ijcemr.2022.10.003