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Diabetes risk factors, diabetes risk algorithms, and the prediction of future frailty: the Whitehall II prospective cohort study

journal contribution
posted on 02.11.2015, 09:41 authored by Kim Bouillon, Mika Kivimaki, Mark Hamer, Martin J. Shipley, Tasnime N. Akbaraly, Adam G. Tabak, Archana Singh-Manoux, G. David Batty
Objective: To examine whether established diabetes risk factors and diabetes risk algorithms are associated with future frailty. Design: Prospective cohort study. Risk algorithms at baseline (1997e1999) were the Framingham Offspring, Cambridge, and Finnish diabetes risk scores. Setting: Civil service departments in London, United Kingdom. Participants: There were 2707 participants (72% men) aged 45 to 69 years at baseline assessment and free of diabetes. Measurements: Risk factors (age, sex, family history of diabetes, body mass index, waist circumference, systolic and diastolic blood pressure, antihypertensive and corticosteroid treatments, history of high blood glucose, smoking status, physical activity, consumption of fruits and vegetables, fasting glucose, HDL-cholesterol, and triglycerides) were used to construct the risk algorithms. Frailty, assessed during a resurvey in 2007e2009, was denoted by the presence of 3 or more of the following indicators: self reported exhaustion, low physical activity, slow walking speed, low grip strength, and weight loss; “prefrailty” was defined as having 2 or fewer of these indicators. Results: After a mean follow-up of 10.5 years, 2.8% of the sample was classified as frail and 37.5% as pre-frail. Increased age, being female, stopping smoking, low physical activity, and not having a daily consumption of fruits and vegetables were each associated with frailty or prefrailty. The Cambridge and Finnish diabetes risk scores were associated with frailty/prefrailty with odds ratios per 1 SD increase (disadvantage) in score of 1.18 (95% confidence interval: 1.09e1.27) and 1.27 (1.17e1.37), respectively. Conclusion: Selected diabetes risk factors and risk scores are associated with subsequent frailty. Risk scores may have utility for frailty prediction in clinical practice.

History

School

  • Sport, Exercise and Health Sciences

Published in

Journal of the American Medical Directors Association (JAMDA): long-term care: management, applied research and clinical issues

Citation

Bouillon, K. ... et al.,2013. Diabetes risk factors, diabetes risk algorithms, and the prediction of future frailty: the Whitehall II prospective cohort study.. Journal of the American Medical Directors Association (JAMDA): long-term care: management, applied research and clinical issues, 14(11), pp. 851.e1–851.e6.

Publisher

© Elsevier

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2013

Notes

This paper is in closed access.

ISSN

1538-9375

Language

en