Lookup NU author(s): Dr Sarah Cassidy,
Professor Mike Catt,
Professor Michael Trenell
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2018 The Author(s) Aim: Cardio-metabolic disease and physical activity are closely related but large-scale objective studies which measure physical activity are lacking. Using the largest accelerometer cohort to date, we aimed to investigate whether there is an association between disease status and accelerometer variables after a 5-year follow-up. Methods: 106,053 UK Biobank participants wore a wrist-worn GENEactiv monitor. Those with acceptable wear time (> 3 days) were split into 4 cardio-metabolic disease groups based on self-report disease status which was collected 5 ± 1 years prior. Multiple linear regression models were used to investigate associations, controlling for confounders and stratified for gender. Results: Average daily acceleration was lower in men (‘healthy’-42 ± 15 mg v ‘Type 2 diabetes + cardiovascular disease (CVD)’-31 ± 12 mg) and women (‘healthy’-44 ± 13 mg v ‘Type 2 diabetes + CVD’-31 ± 11 mg) with cardio-metabolic disease and this was consistent across both week and weekend days. Men and women with the worst cardio-metabolic disease perform around half of moderate to vigorous physical activity on a daily basis compared to healthy individuals, and spend almost 7 h per day in 30 min inactivity bouts. Significant associations were seen between cardio-metabolic disease and accelerometer variables 5 years on when controlling for confounders. Conclusion: In the largest accelerometer cohort to date, there are significant associations between cardio-metabolic disease and physical activity variables after 5 years of follow-up. Triaxial accelerometers provide enhanced measurement opportunities for measuring lifestyle behaviours in chronic disease.
Author(s): Cassidy S, Fuller H, Chau J, Catt M, Bauman A, Trenell MI
Publication type: Article
Publication status: Published
Journal: Acta Diabetologica
Print publication date: 01/09/2018
Online publication date: 28/05/2018
Acceptance date: 14/05/2018
Date deposited: 05/06/2018
ISSN (print): 0940-5429
ISSN (electronic): 1432-5233
Publisher: Springer-Verlag Italia s.r.l.
Altmetrics provided by Altmetric