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Association between circadian physical activity patterns and mortality in the UK Biobank

BACKGROUND: The benefit of physical activity (PA) for increasing longevity is well-established, however, the impact of diurnal timing of PA on mortality remains poorly understood. We aimed to derive circadian PA patterns and investigate their associations with all-cause mortality. METHODS: We used 2...

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Autores principales: Stein, Michael J., Baurecht, Hansjörg, Sedlmeier, Anja M., Konzok, Julian, Bohmann, Patricia, Fontvieille, Emma, Peruchet-Noray, Laia, Bowden, Jack, Friedenreich, Christine M., Fervers, Béatrice, Ferrari, Pietro, Gunter, Marc J., Freisling, Heinz, Leitzmann, Michael F., Viallon, Vivian, Weber, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472628/
https://www.ncbi.nlm.nih.gov/pubmed/37653438
http://dx.doi.org/10.1186/s12966-023-01508-z
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author Stein, Michael J.
Baurecht, Hansjörg
Sedlmeier, Anja M.
Konzok, Julian
Bohmann, Patricia
Fontvieille, Emma
Peruchet-Noray, Laia
Bowden, Jack
Friedenreich, Christine M.
Fervers, Béatrice
Ferrari, Pietro
Gunter, Marc J.
Freisling, Heinz
Leitzmann, Michael F.
Viallon, Vivian
Weber, Andrea
author_facet Stein, Michael J.
Baurecht, Hansjörg
Sedlmeier, Anja M.
Konzok, Julian
Bohmann, Patricia
Fontvieille, Emma
Peruchet-Noray, Laia
Bowden, Jack
Friedenreich, Christine M.
Fervers, Béatrice
Ferrari, Pietro
Gunter, Marc J.
Freisling, Heinz
Leitzmann, Michael F.
Viallon, Vivian
Weber, Andrea
author_sort Stein, Michael J.
collection PubMed
description BACKGROUND: The benefit of physical activity (PA) for increasing longevity is well-established, however, the impact of diurnal timing of PA on mortality remains poorly understood. We aimed to derive circadian PA patterns and investigate their associations with all-cause mortality. METHODS: We used 24 h PA time series from 96,351 UK Biobank participants aged between 42 and 79 years at accelerometry in 2013–2015. Functional principal component analysis (fPCA) was applied to obtain circadian PA patterns. Using multivariable Cox proportional hazard models, we related the loading scores of these fPCs to estimate risk of mortality. RESULTS: During 6.9 years of follow-up, 2,850 deaths occurred. Four distinct fPCs accounted for 96% of the variation of the accelerometry data. Using a loading score of zero (i.e., average overall PA during the day) as the reference, a fPC1 score of + 2 (high overall PA) was inversely associated with mortality (Hazard ratio, HR = 0.91; 95% CI: 0.84–0.99), whereas a score of -2 (low overall PA) was associated with higher mortality (1.69; 95% CI: 1.57–1.81; p for non-linearity < 0.001). Significant inverse linear associations with mortality were observed for engaging in midday PA instead of early and late PA (fPC3) (HR for a 1-unit increase 0.88; 95% CI: 0.83–0.93). In contrast, midday and nocturnal PA instead of early and evening PA (fPC4) were positively associated with mortality (HR for a 1-unit increase 1.16; 95% CI: 1.08–1.25). CONCLUSION: Our results suggest that it is less important during which daytime hours one is active but rather, to engage in some level of elevated PA for longevity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-023-01508-z.
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spelling pubmed-104726282023-09-02 Association between circadian physical activity patterns and mortality in the UK Biobank Stein, Michael J. Baurecht, Hansjörg Sedlmeier, Anja M. Konzok, Julian Bohmann, Patricia Fontvieille, Emma Peruchet-Noray, Laia Bowden, Jack Friedenreich, Christine M. Fervers, Béatrice Ferrari, Pietro Gunter, Marc J. Freisling, Heinz Leitzmann, Michael F. Viallon, Vivian Weber, Andrea Int J Behav Nutr Phys Act Research BACKGROUND: The benefit of physical activity (PA) for increasing longevity is well-established, however, the impact of diurnal timing of PA on mortality remains poorly understood. We aimed to derive circadian PA patterns and investigate their associations with all-cause mortality. METHODS: We used 24 h PA time series from 96,351 UK Biobank participants aged between 42 and 79 years at accelerometry in 2013–2015. Functional principal component analysis (fPCA) was applied to obtain circadian PA patterns. Using multivariable Cox proportional hazard models, we related the loading scores of these fPCs to estimate risk of mortality. RESULTS: During 6.9 years of follow-up, 2,850 deaths occurred. Four distinct fPCs accounted for 96% of the variation of the accelerometry data. Using a loading score of zero (i.e., average overall PA during the day) as the reference, a fPC1 score of + 2 (high overall PA) was inversely associated with mortality (Hazard ratio, HR = 0.91; 95% CI: 0.84–0.99), whereas a score of -2 (low overall PA) was associated with higher mortality (1.69; 95% CI: 1.57–1.81; p for non-linearity < 0.001). Significant inverse linear associations with mortality were observed for engaging in midday PA instead of early and late PA (fPC3) (HR for a 1-unit increase 0.88; 95% CI: 0.83–0.93). In contrast, midday and nocturnal PA instead of early and evening PA (fPC4) were positively associated with mortality (HR for a 1-unit increase 1.16; 95% CI: 1.08–1.25). CONCLUSION: Our results suggest that it is less important during which daytime hours one is active but rather, to engage in some level of elevated PA for longevity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12966-023-01508-z. BioMed Central 2023-09-01 /pmc/articles/PMC10472628/ /pubmed/37653438 http://dx.doi.org/10.1186/s12966-023-01508-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Stein, Michael J.
Baurecht, Hansjörg
Sedlmeier, Anja M.
Konzok, Julian
Bohmann, Patricia
Fontvieille, Emma
Peruchet-Noray, Laia
Bowden, Jack
Friedenreich, Christine M.
Fervers, Béatrice
Ferrari, Pietro
Gunter, Marc J.
Freisling, Heinz
Leitzmann, Michael F.
Viallon, Vivian
Weber, Andrea
Association between circadian physical activity patterns and mortality in the UK Biobank
title Association between circadian physical activity patterns and mortality in the UK Biobank
title_full Association between circadian physical activity patterns and mortality in the UK Biobank
title_fullStr Association between circadian physical activity patterns and mortality in the UK Biobank
title_full_unstemmed Association between circadian physical activity patterns and mortality in the UK Biobank
title_short Association between circadian physical activity patterns and mortality in the UK Biobank
title_sort association between circadian physical activity patterns and mortality in the uk biobank
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472628/
https://www.ncbi.nlm.nih.gov/pubmed/37653438
http://dx.doi.org/10.1186/s12966-023-01508-z
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