Diabetes and Impaired Fasting Glucose Pbkp_rediction Using Anthropometric Indices in Adults from Maracaibo City, Venezuela


Abstract:

To determine the pbkp_redictive power of various anthropometric indices for the identification of dysglycemic states in Maracaibo, Venezuela. A cross-sectional study with randomized, multi-staged sampling was realized in 2230 adult subjects of both genders who had their body mass index (BMI), waist circumference (WC) and waist–height ratio (WHR) determined. Diagnoses of type 2 diabetes mellitus (DM2) and impaired fasting glucose (IFG) were made following ADA 2015 criteria. ROC curves were used to evaluate the pbkp_redictive power of each anthropometric parameter. Area under the curve (AUC) values were compared through Delong’s test. Of the total 2230 individuals (52.6 % females), 8.4 % were found to have DM2, and 19.5 % had IFG. Anthropometric parameters displayed greater pbkp_redictive power regarding newly diagnosed diabetics, where WHR was the most important pbkp_redictor in both females (AUC = 0.808; CI 95 % 0.715–0.900. Sensitivity: 82.8 %; specificity: 76.2 %) and males (AUC = 0.809; CI 95 % 0.736–0.882. Sensitivity: 78.6 %; specificity: 68.1 %), although all three parameters appeared to have comparable pbkp_redictive power in this subset. In previously diagnosed diabetic subjects, WHR was superior to both WC and BMI in females, and WHR and WC were both superior to BMI in males. Lower pbkp_redictive values were found for IFG in both genders. Accumulation of various altered anthropometric measurements was associated with increased odds ratios for both newly and previously diagnosed DM2. The pbkp_redictive power of anthropometric measurements was greater for DM2 than IFG. We suggest assessment of as many available parameters as possible in the clinical setting.

Año de publicación:

2016

Keywords:

  • diabetes mellitus
  • RISK FACTORS
  • pbkp_rediction
  • obesity
  • impaired fasting glucose

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Diabetes
  • Epidemiología

Áreas temáticas:

  • Enfermedades
  • Fisiología humana
  • Medicina forense; incidencia de enfermedades