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

被引:40
|
作者
Blodgett, Joanna M. [1 ]
Ahmadi, Matthew N. [2 ,3 ]
Atkin, Andrew J. [4 ,5 ]
Chastin, Sebastien [6 ,7 ]
Chan, Hsiu-Wen [8 ]
Suorsa, Kristin [9 ,10 ,11 ]
Bakker, Esmee A. [12 ,13 ]
Hettiarcachchi, Pasan [14 ]
Johansson, Peter J. [14 ,15 ]
Sherar, Lauren B. [16 ]
Rangul, Vegar [17 ]
Pulsford, Richard M. [18 ]
Mishra, Gita [8 ]
Eijsvogels, Thijs M. H. [13 ]
Stenholm, Sari [8 ,9 ,10 ,19 ,20 ]
Hughes, Alun D. [21 ,22 ,23 ]
Teixeira-Pinto, Armando M. [24 ]
Ekelund, Ulf [25 ,26 ]
Lee, I-Min [27 ,28 ,29 ]
Holtermann, Andreas [30 ]
Koster, Annemarie [31 ]
Stamatakis, Emmanuel [2 ,3 ]
Hamer, Mark [1 ,23 ]
机构
[1] UCL, Inst Sport Exercise & Hlth, Div Surg & Intervent Sci, London, England
[2] Univ Sydney, Charles Perkins Ctr, Mackenzie Wearables Res Hub, Sydney, NSW, Australia
[3] Univ Sydney, Fac Med & Hlth, Sch Hlth Sci, Sydney, NSW, Australia
[4] Univ East Anglia, Sch Hlth Sci, Norwich, England
[5] Univ East Anglia, Norwich Epidemiol Ctr, Norwich, England
[6] Glasgow Caledonian Univ, Sch Hlth & Life Sci, Glasgow, Scotland
[7] Univ Ghent, Dept Movement & Sport Sci, Ghent, Belgium
[8] Univ Queensland, Sch Publ Hlth, Brisbane, Qld, Australia
[9] Univ Turku, Dept Publ Hlth, Turku, Finland
[10] Turku Univ Hosp, Turku, Finland
[11] Univ Turku, Ctr Populat Hlth Res, Turku, Finland
[12] Univ Granada, Sport & Hlth Univ Res Inst iMUDS, Fac Sport Sci, Dept Phys Educ & Sports, Granada, Spain
[13] Radboud Univ Nijmegen, Dept Med BioSci, Exercise Physiol Res Grp, Med Ctr, Nijmegen, Netherlands
[14] Uppsala Univ, Dept Med Sci, Occupat & Environm Med, Uppsala, Sweden
[15] Uppsala Univ Hosp, Occupat & Environm Med, Uppsala, Sweden
[16] Loughborough Univ, Sch Sport Exercise & Hlth Sci, Loughborough, England
[17] Norwegian Univ Sci & Technol NTNU, Fac Med & Hlth Sci, HUNT Res Ctr, Dept Publ Hlth & Nursing, Trondheim, Norway
[18] Univ Exeter, Fac Hlth & Life Sci, Exeter, England
[19] Turku Univ Hosp, Res Serv, Turku, Finland
[20] Univ Turku, Turku, Finland
[21] UCL, UCL Inst Cardiovasc Sci, MRC Unit Lifelong Hlth & Ageing, London, England
[22] UCL, UCL BHF Res Accelerator, London, England
[23] Univ Coll London Hosp NIHR Biomed Res Ctr, London, England
[24] Univ Sydney, Fac Med & Hlth, Sch Publ Hlth, Sydney, Australia
[25] Norwegian Sch Sport Sci, Dept Sport Med, Oslo, Norway
[26] Norwegian Publ Hlth Inst, Dept Chron Dis, Oslo, Norway
[27] Brigham & Womens Hosp, Div Prevent Med, Boston, MA USA
[28] Harvard Med Sch, Boston, MA USA
[29] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA
[30] Natl Res Ctr Working Environm, Copenhagen, Denmark
[31] Maastricht Univ, CAPHRI Care & Publ Hlth Res Inst, Dept Social Med, Maastricht, Netherlands
关键词
Cohort consortium; Cardiometabolic outcomes; Physical activity; Sedentary behaviour; Sleep; Standing; Compositional data analysis; CARDIOVASCULAR-DISEASE; SEDENTARY BEHAVIOR; RISK-FACTORS; ASSOCIATIONS; EXERCISE; ADAPTATIONS; OUTCOMES; BURDEN; LIGHT; TIME;
D O I
10.1093/eurheartj/ehad717
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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. Structured Graphical Abstract Hierarchy of favourable movement behaviours across the 24 h day suggests more time spent in moderate-vigorous physical activity and less time spent sedentary are most strongly associated with healthier cardiometabolic outcomes. BMI, body mass index; HbA1c, glycated haemoglobin.
引用
收藏
页码:458 / 471
页数:14
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