Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study

Volume: 18, Issue: 1
Published: Jun 5, 2018
Abstract
To determine the anthropometric indices that would predict type 2 diabetes (T2D) and delineate their optimal cut-points. In a cohort study, 7017 Iranian adults, aged 20–60 years, free of T2D at baseline were investigated. Using Cox proportional hazard models, hazard ratios (HRs) for incident T2D per 1 SD change in body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), waist to hip ratio (WHR), and hip circumference (HC)...
Paper Details
Title
Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study
Published Date
Jun 5, 2018
Volume
18
Issue
1
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.