@article{4315b8fb5cfe4cd4b4ba82c70d55ab4c,
title = "Relationship of device measured physical activity type and posture with cardiometabolic health markers: pooled dose–response associations from the Prospective Physical Activity, Sitting and Sleep Consortium",
abstract = "Aims/hypothesis: The aim of this study was to examine the dose–response associations of device-measured physical activity types and postures (sitting and standing time) with cardiometabolic health. Methods: We conducted an individual participant harmonised meta-analysis of 12,095 adults (mean ± SD age 54.5±9.6 years; female participants 54.8%) from six cohorts with thigh-worn accelerometry data from the Prospective Physical Activity, Sitting and Sleep (ProPASS) Consortium. Associations of daily walking, stair climbing, running, standing and sitting time with a composite cardiometabolic health score (based on standardised z scores) and individual cardiometabolic markers (BMI, waist circumference, triglycerides, HDL-cholesterol, HbA 1c and total cholesterol) were examined cross-sectionally using generalised linear modelling and cubic splines. Results: We observed more favourable composite cardiometabolic health (i.e. z score <0) with approximately 64 min/day walking (z score [95% CI] −0.14 [−0.25, −0.02]) and 5 min/day stair climbing (−0.14 [−0.24, −0.03]). We observed an equivalent magnitude of association at 2.6 h/day standing. Any amount of running was associated with better composite cardiometabolic health. We did not observe an upper limit to the magnitude of the dose–response associations for any activity type or standing. There was an inverse dose–response association between sitting time and composite cardiometabolic health that became markedly less favourable when daily durations exceeded 12.1 h/day. Associations for sitting time were no longer significant after excluding participants with prevalent CVD or medication use. The dose–response pattern was generally consistent between activity and posture types and individual cardiometabolic health markers. Conclusions/interpretation: In this first activity type-specific analysis of device-based physical activity, ~64 min/day of walking and ~5.0 min/day of stair climbing were associated with a favourable cardiometabolic risk profile. The deleterious associations of sitting time were fully attenuated after exclusion of participants with prevalent CVD and medication use. Our findings on cardiometabolic health and durations of different activities of daily living and posture may guide future interventions involving lifestyle modification. Graphical Abstract: (Figure presented.).",
keywords = "Cardiometabolic health, Individual participant meta-analysis, Physical activity type, Posture, Running, Sitting, Stair climbing, Standing, Walking, Wearables",
author = "Ahmadi, {Matthew N.} and Blodgett, {Joanna M.} and Atkin, {Andrew J.} and Chan, {Hsiu Wen} and {del Pozo Cruz}, Borja and Kristin Suorsa and Bakker, {Esmee A.} and Pulsford, {Richard M.} and Mielke, {Gregore I.} and Johansson, {Peter J.} and Pasan Hettiarachchi and Thijssen, {Dick H.J.} and Sari Stenholm and Mishra, {Gita D.} and Armando Teixeira-Pinot and Vegar Rangul and Sherar, {Lauren B.} and Ulf Ekelund and Hughes, {Alun D.} and Lee, {I. Min} and Andreas Holtermann and Annemarie Koster and Mark Hamer and Emmanuel Stamatakis and {ProPASS Collaboration}",
note = "Funding Information: This study was funded by the British Heart Foundation (SP/F/20/150002). The establishment of the ProPASS Consortium was supported by an unrestricted 2018-20 grant from PAL Technologies (Glasgow, UK). Several aspects of the ProPASS Consortium methods used in this paper were funded by a National Health and Medical Research Council Ideas Grant (APP1194510). The Charles Perkins Centre (University of Sydney, Australia) and the National Research Centre for the Working Environment (Copenhagen, Denmark) co-funded the technical proof-of-concept study of the ProPASS Consortium that enabled pooling of data from different brands of wearables. MH is supported through the NIHR University College London Hospitals Biomedical Research Centre (NIHR203328). ES is funded by a National Health and Medical Research Council Investigator Grant (APP1194510). BdPC is supported by the Government of Andalusia, Research Talent Recruitment Programme (EMERGIA 2020/00158). GIM is supported by a National Health and Medical Research Council Investigator Grant (APP2008702). GDM is supported by a National Health and Medical Research Council Principal Research Fellowship (APP1121844). FIREA is supported by the Academy of Finland (286294, 294154, 319246, 332030), Ministry of Education and Culture, Juho Vainio Foundation and Finnish State Grants for Clinical Research. ActiPASS development was partly funded by FORTE, the Swedish Research Council for Health, Working Life and Welfare (2021–01561). ALSWH is funded by the Australian Government Department of Health and Aged Care, and its substudy, from which accelerometry and clinical data were obtained, was funded by a National Health and Medical Research Council Project Grant (APP1129592). MNA is supported by the National Heart Foundation (APP107158) Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2024",
month = jun,
doi = "10.1007/s00125-024-06090-y",
language = "English",
volume = "67",
pages = "1051--1065",
journal = "Diabetologia",
issn = "0012-186X",
publisher = "Springer, Cham",
number = "6",
}