Association between circadian physical activity patterns and mortality in the UK Biobank
Abstract 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...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-09-01
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| Series: | International Journal of Behavioral Nutrition and Physical Activity |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12966-023-01508-z |
| _version_ | 1827708256713179136 |
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| author | Michael J. Stein Hansjörg Baurecht Anja M. Sedlmeier Julian Konzok Patricia Bohmann Emma Fontvieille Laia Peruchet-Noray Jack Bowden Christine M. Friedenreich Béatrice Fervers Pietro Ferrari Marc J. Gunter Heinz Freisling Michael F. Leitzmann Vivian Viallon Andrea Weber |
| author_facet | Michael J. Stein Hansjörg Baurecht Anja M. Sedlmeier Julian Konzok Patricia Bohmann Emma Fontvieille Laia Peruchet-Noray Jack Bowden Christine M. Friedenreich Béatrice Fervers Pietro Ferrari Marc J. Gunter Heinz Freisling Michael F. Leitzmann Vivian Viallon Andrea Weber |
| author_sort | Michael J. Stein |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-10T17:02:06Z |
| format | Article |
| id | doaj.art-a7efca6f0f0449ae9110da037d34a777 |
| institution | Directory Open Access Journal |
| issn | 1479-5868 |
| language | English |
| last_indexed | 2024-03-10T17:02:06Z |
| publishDate | 2023-09-01 |
| publisher | BMC |
| record_format | Article |
| series | International Journal of Behavioral Nutrition and Physical Activity |
| spelling | doaj.art-a7efca6f0f0449ae9110da037d34a7772023-11-20T10:57:11ZengBMCInternational Journal of Behavioral Nutrition and Physical Activity1479-58682023-09-012011910.1186/s12966-023-01508-zAssociation between circadian physical activity patterns and mortality in the UK BiobankMichael J. Stein0Hansjörg Baurecht1Anja M. Sedlmeier2Julian Konzok3Patricia Bohmann4Emma Fontvieille5Laia Peruchet-Noray6Jack Bowden7Christine M. Friedenreich8Béatrice Fervers9Pietro Ferrari10Marc J. Gunter11Heinz Freisling12Michael F. Leitzmann13Vivian Viallon14Andrea Weber15Department of Epidemiology and Preventive Medicine, University of RegensburgDepartment of Epidemiology and Preventive Medicine, University of RegensburgDepartment of Epidemiology and Preventive Medicine, University of RegensburgDepartment of Epidemiology and Preventive Medicine, University of RegensburgDepartment of Epidemiology and Preventive Medicine, University of RegensburgNutrition and Metabolism Branch, International Agency for Research On Cancer (IARC/WHO)Nutrition and Metabolism Branch, International Agency for Research On Cancer (IARC/WHO)University of Exeter Medical SchoolDepartment of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health ServicesDépartement Prévention Cancer Environnement, Centre Léon BérardNutrition and Metabolism Branch, International Agency for Research On Cancer (IARC/WHO)Nutrition and Metabolism Branch, International Agency for Research On Cancer (IARC/WHO)Nutrition and Metabolism Branch, International Agency for Research On Cancer (IARC/WHO)Department of Epidemiology and Preventive Medicine, University of RegensburgNutrition and Metabolism Branch, International Agency for Research On Cancer (IARC/WHO)Department of Epidemiology and Preventive Medicine, University of RegensburgAbstract 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.https://doi.org/10.1186/s12966-023-01508-zPhysical activity patternsAll-cause mortalityUK BiobankRaw accelerometry |
| spellingShingle | Michael J. Stein Hansjörg Baurecht Anja M. Sedlmeier Julian Konzok Patricia Bohmann Emma Fontvieille Laia Peruchet-Noray Jack Bowden Christine M. Friedenreich Béatrice Fervers Pietro Ferrari Marc J. Gunter Heinz Freisling Michael F. Leitzmann Vivian Viallon Andrea Weber Association between circadian physical activity patterns and mortality in the UK Biobank International Journal of Behavioral Nutrition and Physical Activity Physical activity patterns All-cause mortality UK Biobank Raw accelerometry |
| 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 | Physical activity patterns All-cause mortality UK Biobank Raw accelerometry |
| url | https://doi.org/10.1186/s12966-023-01508-z |
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