TY - JOUR
T1 - Device-measured physical activity and cardiometabolic health
T2 - the Prospective Physical Activity, Sitting, and Sleep (ProPASS) consortium
AU - Blodgett, Joanna M
AU - Ahmadi, Matthew N
AU - Atkin, Andrew J
AU - Chastin, Sebastien
AU - Chan, Hsiu-Wen
AU - Suorsa, Kristin
AU - Bakker, Esmee A
AU - Hettiarcachchi, Pasan
AU - Johansson, Peter J
AU - Sherar, Lauren B
AU - Rangul, Vegar
AU - Pulsford, Richard M
AU - Mishra, Gita
AU - Eijsvogels, Thijs M H
AU - Stenholm, Sari
AU - Hughes, Alun D
AU - Teixeira-Pinto, Armando M
AU - Ekelund, Ulf
AU - Lee, I Min
AU - Holtermann, Andreas
AU - Koster, Annemarie
AU - Stamatakis, Emmanuel
AU - Hamer, Mark
AU - ProPASS Collaboration
N1 - © The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.
PY - 2024/2/7
Y1 - 2024/2/7
N2 - 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.
AB - 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.
KW - Fysisk aktivitet
KW - Stillesiddende arbejde
KW - Adult
KW - Cardiovascular Diseases/epidemiology
KW - Cholesterol, HDL
KW - Cross-Sectional Studies
KW - Exercise
KW - Female
KW - Glycated Hemoglobin
KW - Humans
KW - Male
KW - Middle Aged
KW - Prospective Studies
KW - Sitting Position
KW - Sleep
KW - Triglycerides
U2 - 10.1093/eurheartj/ehad717
DO - 10.1093/eurheartj/ehad717
M3 - Journal article
C2 - 37950859
SN - 0195-668X
VL - 45
SP - 458
EP - 471
JO - European Heart Journal
JF - European Heart Journal
IS - 6
ER -