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1000 Titel
  • Diurnal timing of physical activity and risk of colorectal cancer in the UK Biobank
1000 Autor/in
  1. Stein, Michael J. |
  2. Baurecht, Hansjörg |
  3. Bohmann, Patricia |
  4. FERVERS, Béatrice |
  5. Fontvieille, Emma |
  6. Freisling, Heinz |
  7. Friedenreich, Christine |
  8. Konzok, Julian |
  9. Peruchet-Noray, Laia |
  10. Sedlmeier, Anja |
  11. Leitzmann, Michael |
  12. Weber, Andrea |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-09-18
1000 Erschienen in
1000 Quellenangabe
  • 22(1):399
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12916-024-03632-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11409794/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Physical activity reduces colorectal cancer risk, yet the diurnal timing of physical activity in colorectal cancer etiology remains unclear.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>This study used 24-h accelerometry time series from UK Biobank participants aged 42 to 79 years to derive circadian physical activity patterns using functional principal component analysis. Multivariable Cox proportional hazard models were used to examine associations with colorectal cancer risk.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Among 86,252 participants (56% women), 529 colorectal cancer cases occurred during a median 5.3-year follow-up. We identified four physical activity patterns that explained almost 100% of the data variability during the day. A pattern of continuous day-long activity was inversely associated with colorectal cancer risk (hazard ratio (HR) = 0.94, 95% confidence interval (CI) = 0.89–0.99). A second pattern of late-day activity was suggestively inversely related to risk (HR = 0.93, 95% CI = 0.85–1.02). A third pattern of early- plus late-day activity was associated with decreased risk (HR = 0.89, 95% CI = 0.80–0.99). A fourth pattern of mid-day plus night-time activity showed no relation (HR = 1.02, 95% CI = 0.88–1.19). Our results were consistent across various sensitivity analyses, including the restriction to never smokers, the exclusion of the first 2 years of follow-up, and the adjustment for shift work.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>A pattern of early- plus late-day activity is related to reduced colorectal cancer risk, beyond the benefits of overall activity. Further research is needed to confirm the role of activity timing in colorectal cancer prevention.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Female [MeSH]
lokal Aged [MeSH]
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Accelerometry [MeSH]
lokal Middle Aged [MeSH]
lokal Risk Factors [MeSH]
lokal Colorectal cancer
lokal Cancer prevention
lokal Biological Specimen Banks [MeSH]
lokal Time Factors [MeSH]
lokal Colorectal Neoplasms/epidemiology [MeSH]
lokal Exercise/physiology [MeSH]
lokal United Kingdom/epidemiology [MeSH]
lokal Male [MeSH]
lokal UK Biobank [MeSH]
lokal Research
lokal Raw accelerometry
lokal Physical activity patterns
lokal Circadian Rhythm/physiology [MeSH]
lokal UK Biobank
lokal Colorectal Neoplasms/prevention
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-1120-1751|https://orcid.org/0000-0002-9265-5594|https://orcid.org/0000-0002-0931-8651|https://orcid.org/0000-0003-3498-6499|https://frl.publisso.de/adhoc/uri/Rm9udHZpZWlsbGUsIEVtbWE=|https://orcid.org/0000-0001-8648-4998|https://orcid.org/0000-0002-4783-1966|https://orcid.org/0000-0002-4232-4105|https://orcid.org/0000-0001-8742-8920|https://orcid.org/0000-0002-7564-3065|https://orcid.org/0000-0002-0371-2789|https://orcid.org/0000-0002-4777-7808
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1000 Label
1000 Förderer
  1. Universität Regensburg |
1000 Fördernummer
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1000 Dateien
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    1000 Förderer Universität Regensburg |
    1000 Förderprogramm -
    1000 Fördernummer -
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