Associations and predictive performance of eleven anthropometric measures with incident type 2 diabetes: a prospective cohort study from the UK Biobank

Boonpor, J. et al. (2023) Associations and predictive performance of eleven anthropometric measures with incident type 2 diabetes: a prospective cohort study from the UK Biobank. Obesity, 31(10), pp. 2648-2657. (doi: 10.1002/oby.23849) (PMID: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.

• Item Type: Articles
• Additional Information: The UK Biobank was established by the Wellcome Trust; Medical Research Council; Department of Health, Scottish Government; and the Northwest Regional Development Agency. It has also received funding from the Welsh Assembly Government and the British Heart Foundation. Jirapitcha Boonpor receives financial support from the Royal Thai Government Scholarship for her PhD. Solange Parra-Soto receives financial support from the Chilean Government PhD scholar-ship program for their PhD.
• Keywords: Adiposity, anthropometric marker, C-index, diabetes predictor, type 2 diabetes mellitus, obesity.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Celis, Dr Carlos and Ho, Dr Frederick and Gill, Professor Jason and Talebi, Dr Atefeh and Welsh, Professor Paul and Pell, Professor Jill and Zhou, Ziyi and Petermann-Rocha, Mrs Fanny and Sattar, Professor Naveed and Parra, Solange and Boonpor, Jirapitcha and Carrasco Marín, Mrs Fernanda
• Authors: Boonpor, J., Parra-Soto, S., Talebi, A., Zhou, Z., Carrasco-Marín, F., Petermann-Rocha, F., Welsh, P., Pell, J. P., Sattar, N., Gill, J. M.R., Gray, S. R., Celis-Morales, C., and Ho, F. K.
• College/School: College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health; College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Public Health
• Journal Name: Obesity
• Publisher: Wiley
• ISSN: 1930-7381
• ISSN (Online): 1930-739X
• Published Online: 19 September 2023
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Obesity 31(10):2648-2657
• Publisher Policy: Reproduced under a Creative Commons license