Prediction of insulin resistance with anthropometric measures: lessons from a large adolescent population | Zendy

Antonio Convit | Zendy; William Wedin | Zendy; Diaz-Gimenez | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Prediction of insulin resistance with anthropometric measures: lessons from a large adolescent population

Author(s) -

Antonio Convit,

William Wedin,

Diaz-Gimenez

Publication year - 2012

Publication title -

diabetes metabolic syndrome and obesity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.853

H-Index - 43

ISSN - 1178-7007

DOI - 10.2147/dmso.s33478

Subject(s) - anthropometry , waist , insulin resistance , stepwise regression , regression analysis , body mass index , linear regression , medicine , obesity , population , receiver operating characteristic , circumference , body fat percentage , endocrinology , mathematics , statistics , environmental health , geometry

The aim of this study was to describe the minimum number of anthropometric measures that will optimally predict insulin resistance (IR) and to characterize the utility of these measures among obese and nonobese adolescents.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research