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Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China
Objectives: This study aimed to identify the prevalence of gestational diabetes mellitus (GDM) and to examine its associations with social and behavioral factors, maternal body mass index (BMI), anemia, and hypertension. Methods: A cross-sectional analysis was performed on data collected from 2345 p...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750950/ https://www.ncbi.nlm.nih.gov/pubmed/29292753 http://dx.doi.org/10.3390/ijerph14121532 |
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author | Xu, Xianglong Liu, Ying Liu, Dengyuan Li, Xiaoming Rao, Yunshuang Sharma, Manoj Zhao, Yong |
author_facet | Xu, Xianglong Liu, Ying Liu, Dengyuan Li, Xiaoming Rao, Yunshuang Sharma, Manoj Zhao, Yong |
author_sort | Xu, Xianglong |
collection | PubMed |
description | Objectives: This study aimed to identify the prevalence of gestational diabetes mellitus (GDM) and to examine its associations with social and behavioral factors, maternal body mass index (BMI), anemia, and hypertension. Methods: A cross-sectional analysis was performed on data collected from 2345 pregnant women from 16 hospitals in five selected provinces in mainland China. Results: Prevalence of GDM was as follows: overall: 3.7%; pregnant women in the first pregnancy: 3.4%; pregnant women in the second pregnancy: 4.6%. Compared with early pregnancy women, late-stage pregnant women were more likely to have GDM (OR = 4.32, 95% CI (1.82, 10.27)). Compared with 18–25 years old pregnant women, women aged 36–45 years were more likely to have GDM (OR = 3.98, 95% CI (1.41, 11.28). Compared with non-hypertensive patients, hypertensive patients were more likely to have GDM (OR = 6.93, 95% CI (1.28, 37.64)). However, second pregnancy, high maternal BMI, prolonged screen time (TV-viewing time, computer-using time, and mobile-phone using time), insufficient and excessive sleep duration, poor sleep quality, smoking, and secondhand smoke exposure were not significantly associated with an increased risk of GDM. Conclusions: Women in the second pregnancy do not appear to predict an increased risk for developing GDM than women in the first pregnancy. High-risk groups of GDM included women in their late pregnancy, aged 36–45 years old, and with hypertension. The findings will contribute to an improved understanding of social and behavioral determinants of GDM in Chinese population and contribute to the development of health-prevention promotion interventions to address GDM. |
format | Online Article Text |
id | pubmed-5750950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57509502018-01-10 Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China Xu, Xianglong Liu, Ying Liu, Dengyuan Li, Xiaoming Rao, Yunshuang Sharma, Manoj Zhao, Yong Int J Environ Res Public Health Article Objectives: This study aimed to identify the prevalence of gestational diabetes mellitus (GDM) and to examine its associations with social and behavioral factors, maternal body mass index (BMI), anemia, and hypertension. Methods: A cross-sectional analysis was performed on data collected from 2345 pregnant women from 16 hospitals in five selected provinces in mainland China. Results: Prevalence of GDM was as follows: overall: 3.7%; pregnant women in the first pregnancy: 3.4%; pregnant women in the second pregnancy: 4.6%. Compared with early pregnancy women, late-stage pregnant women were more likely to have GDM (OR = 4.32, 95% CI (1.82, 10.27)). Compared with 18–25 years old pregnant women, women aged 36–45 years were more likely to have GDM (OR = 3.98, 95% CI (1.41, 11.28). Compared with non-hypertensive patients, hypertensive patients were more likely to have GDM (OR = 6.93, 95% CI (1.28, 37.64)). However, second pregnancy, high maternal BMI, prolonged screen time (TV-viewing time, computer-using time, and mobile-phone using time), insufficient and excessive sleep duration, poor sleep quality, smoking, and secondhand smoke exposure were not significantly associated with an increased risk of GDM. Conclusions: Women in the second pregnancy do not appear to predict an increased risk for developing GDM than women in the first pregnancy. High-risk groups of GDM included women in their late pregnancy, aged 36–45 years old, and with hypertension. The findings will contribute to an improved understanding of social and behavioral determinants of GDM in Chinese population and contribute to the development of health-prevention promotion interventions to address GDM. MDPI 2017-12-08 2017-12 /pmc/articles/PMC5750950/ /pubmed/29292753 http://dx.doi.org/10.3390/ijerph14121532 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xu, Xianglong Liu, Ying Liu, Dengyuan Li, Xiaoming Rao, Yunshuang Sharma, Manoj Zhao, Yong Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China |
title | Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China |
title_full | Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China |
title_fullStr | Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China |
title_full_unstemmed | Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China |
title_short | Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China |
title_sort | prevalence and determinants of gestational diabetes mellitus: a cross-sectional study in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750950/ https://www.ncbi.nlm.nih.gov/pubmed/29292753 http://dx.doi.org/10.3390/ijerph14121532 |
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