title: [Anthropometry as predictor of gestational diabetes mellitus].
abstract: BACKGROUND
  Gestational diabetes mellitus (GDM) is a high incidence disease. Easily measured predictor factors could help to implement preventive policies and early detection tests.
  
  
  OBJECTIVE
  To measure recognizable risk factors for GDM such as skinfolds and analyze the association between these factors and the development of GDM in a cohort of pregnant women.
  
  
  METHODS
  Evaluation of 76 mothers that developed gestational diabetes, aged 32.2 ± 0.6 years and 324 control mothers that did not develop the disease, aged 30.1 ± 0.3 years. Weight, height, arm circumference, tricipital, bicipital, subscapular, suprailiac, knee, costal and mid-thigh skinfolds were measured in the pre-diseased stage. History of diabetes, fasting glucose and insulin levels were also evaluated.
  
  
  RESULTS
  Age, body mass index (BMI), fasting blood glucose, the homeostasis model assessment of insulin resistance (HOMA), bi-cipital, tricipital, costal, subscapular, suprailiac, and knee skinfolds were associated with GDM development. Age, fasting blood glucose and subscapular skinfolds were independent predictors in the logistic regression model. The odds ratio for a subscapular skinfold over percentile 90 was 1.7 (95% confdence intervals: 1.07-3.04).
  
  
  CONCLUSIONS
  Age and fasting blood glucose are independent risk factors for GDM. Subscapular skinfold is also an independent risk factor and could be used to detect high risk pregnant women and implement preventive policies.
authors.affiliation: Universidad Católica del Maule, Chile. Ahuidobro@ucm.cl
authors.forename: Andrea
authors.initials: A
authors.lastname: Huidobro M
authors.forename: Andrew M
authors.initials: AM
authors.lastname: Prentice
authors.forename: Anthony
authors.initials: A
authors.lastname: J C Fulford
authors.forename: Jaime
authors.initials: J
authors.lastname: Rozowski N
mesh_terms: D000328:Adult; D000886:Anthropometry; D016640:Diabetes, Gestational / Q000175:diagnosis* / Q000209:etiology; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D011247:Pregnancy; D012885:Skinfold Thickness