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Abstract
The relevance of pregestational body mass index (BMI) on adverse pregnancy outcomes remained unclear in Southwest China. This study aimed to investigate the overall and age-category specific association between pre-gestational BMI and gestational diabetes mellitus (GDM), preeclampsia, cesarean delivery, preterm delivery, stillbirth, macrosomia, and small-for-gestational age (SGA) or large-for-gestational age (LGA) neonates in Southwest China. Furthermore, it explores the relative importance of influence of pregravid BMI and maternal age on pregnancy outcomes. 51,125 Chinese singleton pregnant women were recruited as study subjects. Multiple logistic regression models were used to examine the influence of pre-pregnancy BMI on adverse pregnancy outcomes. Gradient boosting machine was used to evaluate the relative importance of influence of pregravid BMI and maternal age on pregnancy outcomes. It is found that women who were overweight or obese before pregnancy are at higher risk of adverse pregnancy outcomes except for SGA neonates, while pre-pregnancy underweight is a protective factor for GDM, preeclampsia, cesarean delivery, macrosomia and LGA, but not SGA. Younger mothers are more susceptible to GDM and macrosomia neonates, while older mothers are more prone to preeclampsia. Pre-pregnancy BMI has more influence on various pregnancy outcomes than maternal age. To improve pregnancy outcomes, normal BMI weight as well as relatively young maternal ages are recommended for women in child-bearing age.
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1 Sichuan University, West China School of Public Health and West China Fourth Hospital, Chengdu, People’s Republic of China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581)
2 Hokkaido University, Graduate School of Information Science and Technology, Hokkaido, Japan (GRID:grid.39158.36) (ISNI:0000 0001 2173 7691)
3 West China Women’s and Children’s Hospital, Sichuan University, Chengdu, People’s Republic of China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581)
4 Affiliated Hospital of Guizhou Medical University, Department of Clinical Nutrition, Guiyang, People’s Republic of China (GRID:grid.452244.1)
5 Southwest Medical University, Department of Epidemiology and Biostatistics, School of Public Health, Luzhou, People’s Republic of China (GRID:grid.410578.f) (ISNI:0000 0001 1114 4286)
6 West China Second University Hospital, Sichuan University, Chengdu, Laboratory of Molecular Translational Medicine, Center for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Department of Pediatrics, Chengdu, People’s Republic of China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581)
7 Wakayama Medical University, Department of Medical Data-Science, Graduate School of Medicine, Wakayama, Japan (GRID:grid.412857.d) (ISNI:0000 0004 1763 1087)