Incidence and Risk Factors of Gestational Diabetes Mellitus: A Prospective Cohort Study in Qingdao, China

Background: Obesity and maternal age are the two most important factors independently affecting the risk of gestational diabetes mellitus (GDM). However, the age differences in the association between obesity and GDM remain unclear. The objectives of this cohort study included: (1) to determine the...

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Main Authors: Guoju Li, Tao Wei, Wei Ni, Ai Zhang, Jun Zhang, Yuhan Xing, Quansheng Xing
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fendo.2020.00636/full
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spelling doaj-8ca0b6e8de004279b613600838ef49102020-11-25T04:04:34ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922020-09-011110.3389/fendo.2020.00636554200Incidence and Risk Factors of Gestational Diabetes Mellitus: A Prospective Cohort Study in Qingdao, ChinaGuoju Li0Tao Wei1Wei Ni2Ai Zhang3Jun Zhang4Yuhan Xing5Quansheng Xing6Qingdao Women and Children's Hospital, Qingdao University, Qingdao City, ChinaQingdao Women and Children's Hospital, Qingdao University, Qingdao City, ChinaQingdao Women and Children's Hospital, Qingdao University, Qingdao City, ChinaQingdao Women and Children's Hospital, Qingdao University, Qingdao City, ChinaQingdao Women and Children's Health Care and Family Planning Service Center, Qingdao City, ChinaDepartment of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, ChinaQingdao Women and Children's Hospital, Qingdao University, Qingdao City, ChinaBackground: Obesity and maternal age are the two most important factors independently affecting the risk of gestational diabetes mellitus (GDM). However, the age differences in the association between obesity and GDM remain unclear. The objectives of this cohort study included: (1) to determine the current incidence of GDM in Qingdao; and (2) to evaluate the risk factors for GDM, such as the interaction between pre-pregnancy body mass index (BMI) and age.Methods: The cohort included 17,145 pregnant women who registered at 15 to 20 gestational weeks from August 1, 2018, to March 1, 2019. A 75-g 2-h oral glucose tolerance test (OGTT) was conducted for each participant at 24–28 gestational weeks. The age-adjusted incidence of GDM was calculated using logistic regression. Multivariate logistic regression analysis was used to identify risk factors. Interaction between age (reference group <30 years) and BMI (reference group <25 kg/m2) was determined using strata-specific analysis.Results: The incidence and age-adjusted incidence of GDM in Qingdao were 17.42 and 17.45%, respectively. The incidence of GDM appeared to increase steadily with age in all pre-pregnancy BMI groups (all P < 0.05). Older age (≥30 years), gestational BMI gain from pre-pregnancy to 15–20 weeks of gestation, history of GDM and thyroid diseases were risk factors for GDM. There were significant interactions between pre-pregnancy BMI and age (P < 0.05) after adjustment for other confounders. The odds ratio (OR) of pre-pregnancy BMI ≥ 30 kg/m2 at the age of <30 years, 30–34 years and ≥35 years was 1.30 (95% CI: 0.74–2.28, P = 0.36), 3.21 (95% CI: 2.28–4.52, P < 0.0001) and 1.55 (95% CI: 1.02–2.36, P = 0.0424), respectively. This indicated that pre-pregnancy BMI ≥ 30 kg/m2 had a stronger effect on GDM in the group aged 30–34 years than those under 30 years old.Conclusions: The incidence of GDM was high in Qingdao. Overweight and obesity prior to pregnancy, gestational BMI gain from conception to 15–20 weeks of gestation and older age were correlated with an increased risk of GDM. Public health measures may be helpful to prevent excessive gestational weight gain.https://www.frontiersin.org/article/10.3389/fendo.2020.00636/fullgestational diabetes mellitusbody mass indexgestational agerisk factorsQingdao
collection DOAJ
language English
format Article
sources DOAJ
author Guoju Li
Tao Wei
Wei Ni
Ai Zhang
Jun Zhang
Yuhan Xing
Quansheng Xing
spellingShingle Guoju Li
Tao Wei
Wei Ni
Ai Zhang
Jun Zhang
Yuhan Xing
Quansheng Xing
Incidence and Risk Factors of Gestational Diabetes Mellitus: A Prospective Cohort Study in Qingdao, China
Frontiers in Endocrinology
gestational diabetes mellitus
body mass index
gestational age
risk factors
Qingdao
author_facet Guoju Li
Tao Wei
Wei Ni
Ai Zhang
Jun Zhang
Yuhan Xing
Quansheng Xing
author_sort Guoju Li
title Incidence and Risk Factors of Gestational Diabetes Mellitus: A Prospective Cohort Study in Qingdao, China
title_short Incidence and Risk Factors of Gestational Diabetes Mellitus: A Prospective Cohort Study in Qingdao, China
title_full Incidence and Risk Factors of Gestational Diabetes Mellitus: A Prospective Cohort Study in Qingdao, China
title_fullStr Incidence and Risk Factors of Gestational Diabetes Mellitus: A Prospective Cohort Study in Qingdao, China
title_full_unstemmed Incidence and Risk Factors of Gestational Diabetes Mellitus: A Prospective Cohort Study in Qingdao, China
title_sort incidence and risk factors of gestational diabetes mellitus: a prospective cohort study in qingdao, china
publisher Frontiers Media S.A.
series Frontiers in Endocrinology
issn 1664-2392
publishDate 2020-09-01
description Background: Obesity and maternal age are the two most important factors independently affecting the risk of gestational diabetes mellitus (GDM). However, the age differences in the association between obesity and GDM remain unclear. The objectives of this cohort study included: (1) to determine the current incidence of GDM in Qingdao; and (2) to evaluate the risk factors for GDM, such as the interaction between pre-pregnancy body mass index (BMI) and age.Methods: The cohort included 17,145 pregnant women who registered at 15 to 20 gestational weeks from August 1, 2018, to March 1, 2019. A 75-g 2-h oral glucose tolerance test (OGTT) was conducted for each participant at 24–28 gestational weeks. The age-adjusted incidence of GDM was calculated using logistic regression. Multivariate logistic regression analysis was used to identify risk factors. Interaction between age (reference group <30 years) and BMI (reference group <25 kg/m2) was determined using strata-specific analysis.Results: The incidence and age-adjusted incidence of GDM in Qingdao were 17.42 and 17.45%, respectively. The incidence of GDM appeared to increase steadily with age in all pre-pregnancy BMI groups (all P < 0.05). Older age (≥30 years), gestational BMI gain from pre-pregnancy to 15–20 weeks of gestation, history of GDM and thyroid diseases were risk factors for GDM. There were significant interactions between pre-pregnancy BMI and age (P < 0.05) after adjustment for other confounders. The odds ratio (OR) of pre-pregnancy BMI ≥ 30 kg/m2 at the age of <30 years, 30–34 years and ≥35 years was 1.30 (95% CI: 0.74–2.28, P = 0.36), 3.21 (95% CI: 2.28–4.52, P < 0.0001) and 1.55 (95% CI: 1.02–2.36, P = 0.0424), respectively. This indicated that pre-pregnancy BMI ≥ 30 kg/m2 had a stronger effect on GDM in the group aged 30–34 years than those under 30 years old.Conclusions: The incidence of GDM was high in Qingdao. Overweight and obesity prior to pregnancy, gestational BMI gain from conception to 15–20 weeks of gestation and older age were correlated with an increased risk of GDM. Public health measures may be helpful to prevent excessive gestational weight gain.
topic gestational diabetes mellitus
body mass index
gestational age
risk factors
Qingdao
url https://www.frontiersin.org/article/10.3389/fendo.2020.00636/full
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