title: [Developing a risk appraisal model for gestational diabetes mellitus].
abstract: OBJECTIVE
  To identify risk factors associated with gestational diabetes mellitus (GDM) and establish a risk appraisal model for GDM.
  
  
  METHODS
  A case-control study of 156 women with GDM and 362 pregnant women without GDM was undertaken. Non-conditional logistic regression analysis was performed to identify risk factors associated with GDM and establish a prediction model. The diagnostic efficiency of this model was estimated by receiver operator characteristic curve (ROC) and Hosmer-lemeshow goodness-of-fit.
  
  
  RESULTS
  Age, high blood pressure, history of poor pregnant outcome, obesity before pregnancy, excessive consumption of fruits, history of DM of immediate family members and taste preference were identified as risk factors of GDM. High consumption of white meat was identified as a protective factor. When the threshold value was set at 3.6, maximum sensitivity (73.7%) and specificity (68.5%) was obtained. The area under curve (AUC) of ROC was 0.79, with Hosmer-lemeshow P = 0.97.
  
  
  CONCLUSIONS
  The developed model has high diagnostic efficiency, which provides a good instrument for screening women with high-risk GDM.
authors.affiliation: Nutrition Service, West China Second Hospital, Sichuan University, Chengdu 610041, China.
authors.forename: Xiao-Fan
authors.initials: XF
authors.lastname: Jing
authors.forename: Rong
authors.initials: R
authors.lastname: Qiao
authors.forename: Ming
authors.initials: M
authors.lastname: Li
authors.forename: De-Ying
authors.initials: DY
authors.lastname: Kang
authors.forename: Xing-Hui
authors.initials: XH
authors.lastname: Liu
authors.forename: Cheng-Yu
authors.initials: CY
authors.lastname: Huang
mesh_terms: D000328:Adult; D016022:Case-Control Studies; D016640:Diabetes, Gestational / Q000209:etiology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D011247:Pregnancy; D018570:Risk Assessment; D012307:Risk Factors