A1 Refereed original research article in a scientific journal
Device-measured physical activity and cardiometabolic health: the Prospective Physical Activity, Sitting, and Sleep (ProPASS) consortium
Authors: Blodgett Joanna M., Ahmadi Matthew N., Atkin Andrew J., Chastin Sebastien, Chan Hsiu-Wen, Suorsa Kristin, Bakker Esmee A., Hettiarcachchi Pasan, Johansson Peter J., Sherar Lauren B., Rangul Vegar, Pulsford Richard M., Mishra Gita, Eijsvogels Thijs M. H., Stenholm Sari, Hughes Alun D., Teixeira-Pinto Armando M., Ekelund Ulf, Lee I. Min, Holtermann Andreas, Koster Annemarie, Stamatakis Emmanuel, Hamer Mark
Publisher: Oxford University Press
Publication year: 2023
Journal: European Heart Journal
Journal name in source: EUROPEAN HEART JOURNAL
Article number: ehad717
ISSN: 0195-668X
eISSN: 1522-9645
DOI: https://doi.org/10.1093/eurheartj/ehad717
Web address : https://doi.org/10.1093/eurheartj/ehad717
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/182129124
Background and Aims
Physical inactivity, sedentary behaviour (SB), and inadequate sleep are key behavioural risk factors of cardiometabolic diseases. Each behaviour is mainly considered in isolation, despite clear behavioural and biological interdependencies. The aim of this study was to investigate associations of five-part movement compositions with adiposity and cardiometabolic biomarkers.
Methods
Cross-sectional data from six studies (n = 15 253 participants; five countries) from the Prospective Physical Activity, Sitting and Sleep consortium were analysed. Device-measured time spent in sleep, SB, standing, light-intensity physical activity (LIPA), and moderate-vigorous physical activity (MVPA) made up the composition. Outcomes included body mass index (BMI), waist circumference, HDL cholesterol, total:HDL cholesterol ratio, triglycerides, and glycated haemoglobin (HbA1c). Compositional linear regression examined associations between compositions and outcomes, including modelling time reallocation between behaviours.
Results
The average daily composition of the sample (age: 53.7 ± 9.7 years; 54.7% female) was 7.7 h sleeping, 10.4 h sedentary, 3.1 h standing, 1.5 h LIPA, and 1.3 h MVPA. A greater MVPA proportion and smaller SB proportion were associated with better outcomes. Reallocating time from SB, standing, LIPA, or sleep into MVPA resulted in better scores across all outcomes. For example, replacing 30 min of SB, sleep, standing, or LIPA with MVPA was associated with −0.63 (95% confidence interval −0.48, −0.79), −0.43 (−0.25, −0.59), −0.40 (−0.25, −0.56), and −0.15 (0.05, −0.34) kg/m2 lower BMI, respectively. Greater relative standing time was beneficial, whereas sleep had a detrimental association when replacing LIPA/MVPA and positive association when replacing SB. The minimal displacement of any behaviour into MVPA for improved cardiometabolic health ranged from 3.8 (HbA1c) to 12.7 (triglycerides) min/day.
Conclusions
Compositional data analyses revealed a distinct hierarchy of behaviours. Moderate-vigorous physical activity demonstrated the strongest, most time-efficient protective associations with cardiometabolic outcomes. Theoretical benefits from reallocating SB into sleep, standing, or LIPA required substantial changes in daily activity.
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