Anthropometry as predictor of gestational diabetes mellitus


Huidobro, A; Prentice, AM; Anthony, JCF; Rozowski, J; (2010) Anthropometry as predictor of gestational diabetes mellitus. Revista medica de Chile, 138 (11). pp. 1373-1377. ISSN 0034-9887

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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. Aim: 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. Material and 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), bicipital, tricipital, costal, subscapular, suprailiac, and knee ski nfolds were associated with GDM development. Age, fasting blood glucose and subscapular ski nfolds were independent predictors in the logistic regression model. The odds ratio for a subscapular skinfold over percentile 90 was 1.7 (95% confidence 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. (Rev Med Chile 2010; 138: 1373-1377).

Item Type: Article
Keywords: Anthropometry, Diabetes, gestational, Skinfold thickness, PREGNANCY, WOMEN
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Population Health (2012- ) > Dept of Nutrition and Public Health Interventions Research (2003-2012)
Faculty of Epidemiology and Population Health > Dept of Population Health (2012- )
Research Centre: Centre for Global Non-Communicable Diseases (NCDs)
Web of Science ID: 285736500005
URI: http://researchonline.lshtm.ac.uk/id/eprint/1367

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