Research of gestational diabetes mellitus risk evaluation method

被引：2

作者：

Chi, Zhenyu ^{[1
]}

Zhang, Song ^{[1
]}

Wang, Yang ^{[2
]}

Yang, Lin ^{[1
]}

Yang, Yimin ^{[1
]}

Li, Xuwen ^{[1
]}

机构：

[1] Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China

[2] Shenzhen Huada Gene Res Inst, Shenzhen, Peoples R China

来源：

TECHNOLOGY AND HEALTH CARE | 2016年 / 24卷

关键词：

Gestational diabetes mellitus; logistic regression; risk factors;

D O I：

10.3233/THC-161174

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

BACKGROUND: Gestational diabetes mellitus (GDM) is not easily detected. The difficulty in detecting GDM is largely due to the late onset of clinical symptoms as well as the various complications that result from GDM [1]. OBJECTIVE: GDM greatly influences both mother and child. Therefore, the purpose of this study was to reduce the morbidity of GDM. METHODS: In this study, risk factors that influence GDM were selected through statistical analysis. Multivariable logistic regression analysis was used to obtain the regression equation and Odds Ratio (OR) value. The risk score of each factor was obtained according to the OR value. RESULTS: The score of every pregnant woman could be very intuitively used to show the risk of getting GDM. CONCLUSION: Through the above methods, a comprehensive risk evaluation method of detecting GDM was developed.

引用

页码：S499 / S503

页数：5