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Device-measured physical activity and cardiometabolic health: the Prospective Physical Activity, Sitting, and Sleep (ProPASS) consortium

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

Device-measured physical activity and cardiometabolic health: the Prospective Physical Activity, Sitting, and Sleep (ProPASS) consortium

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
Katso/Avaa
ehad717.pdf (1.797Mb)
Lataukset: 

Oxford University Press
doi:10.1093/eurheartj/ehad717
URI
https://doi.org/10.1093/eurheartj/ehad717
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2025082789163
Tiivistelmä

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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