title: Research of gestational diabetes mellitus risk evaluation method.
abstract: 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.
  
  
  CONCLUSIONS
  Through the above methods, a comprehensive risk evaluation method of detecting GDM was developed.
authors.affiliation: College of Life Science and Bio-engineering, Beijing University of Technology, Beijing, China.
authors.forename: Zhenyu
authors.initials: Z
authors.lastname: Chi
authors.affiliation: College of Life Science and Bio-engineering, Beijing University of Technology, Beijing, China.
authors.forename: Song
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Shenzhen Huada Gene Research Institute, Shenzhen, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Wang
authors.affiliation: College of Life Science and Bio-engineering, Beijing University of Technology, Beijing, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Yang
authors.affiliation: College of Life Science and Bio-engineering, Beijing University of Technology, Beijing, China.
authors.forename: Yimin
authors.initials: Y
authors.lastname: Yang
authors.affiliation: College of Life Science and Bio-engineering, Beijing University of Technology, Beijing, China.
authors.forename: Xuwen
authors.initials: X
authors.lastname: Li
mesh_terms: D000328:Adult; D016640:Diabetes, Gestational / Q000175:diagnosis / Q000209:etiology / Q000503:physiopathology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008403:Mass Screening; D009017:Morbidity; D016017:Odds Ratio; D011247:Pregnancy; D012106:Research; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors
keywords: Gestational diabetes mellitus; logistic regression; risk factors