Disease areas:
  • nutrition and metabolism
Last updated:
Author(s):
Jirapitcha Boonpor, Solange Parra-Soto, Atefeh Talebi, Ziyi Zhou, Fernanda Carrasco-Marin, Fanny Petermann-Rocha, Paul Welsh, Jill P. Pell, Naveed Sattar, Jason M. R. Gill, Stuart R. Gray, Carlos Celis-Morales, Frederick K. Ho
Publish date:
19 September 2023
Journal:
Obesity
PubMed ID:
37724055

Abstract

OBJECTIVE: The study aim was to investigate associations of 11 anthropometric measures with incident type 2 diabetes and compare their predictive performance.

METHODS: This prospective cohort study included 161,127 White European UK Biobank participants who were free of diabetes at baseline. Anthropometric measures included height, weight, BMI, A Body Shape Index, waist circumference, waist to hip ratio, waist to height ratio (WHtR), hip circumference, visceral adiposity index, hip index, and anthropometric risk index. The associations were examined using Cox proportional hazard models. The differences in C-index were used to compare predictive performance between BMI and other anthropometric measures.

RESULTS: The median follow-up was 10.0 (interquartile range: 9.3-10.8) years, during which 6315 participants developed type 2 diabetes. All markers except height and hip index were positively associated with incident type 2 diabetes. The strongest associations were found for WHtR (hazard ratio per 1-SD increment: 2.27 [95% CI 2.19-2.35] in women; 1.96 [95% CI 1.90-2.01] in men). Compared with BMI, WHtR and anthropometric risk index had significantly better type 2 diabetes risk discrimination.

CONCLUSIONS: Although most adiposity markers were associated with type 2 diabetes, the magnitude of the associations differed. WHtR had the strongest associations and predictive ability for type 2 diabetes and thus could be a more suitable marker for clinical use.

Related projects

Mental health problems place a large burden on the health service. As life expectancy increases, understanding cognitive decline is increasingly important. Identifying high risk groups…

Institution:
University of Glasgow, Great Britain

All projects