Evidence map›Paper›PMID 39289682›Full record

ArticleBMC medicine2024

Diurnal timing of physical activity and risk of colorectal cancer in the UK Biobank.

Michael J Stein, Hansjörg Baurecht, Patricia Bohmann, Béatrice Fervers, Emma Fontvieille, Heinz Freisling, Christine M Friedenreich, Julian Konzok, Laia Peruchet-Noray, Anja M Sedlmeier and 2 more

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Michael J SteinDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany. michael.stein@ukr.de.ORCID 0000-0002-1120-1751
Hansjörg BaurechtDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.ORCID 0000-0002-9265-5594
Patricia BohmannDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.ORCID 0000-0002-0931-8651
Béatrice FerversDépartement Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France.ORCID 0000-0003-3498-6499
Emma FontvieilleInternational Agency for Research On Cancer (IARC), Nutrition and Metabolism Branch, 25 Avenue Tony Garnier, CS90627, Lyon, 69366, France.
Heinz FreislingInternational Agency for Research On Cancer (IARC), Nutrition and Metabolism Branch, 25 Avenue Tony Garnier, CS90627, Lyon, 69366, France.ORCID 0000-0001-8648-4998
Christine M FriedenreichDepartment of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB, Canada.ORCID 0000-0002-4783-1966
Julian KonzokDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.ORCID 0000-0002-4232-4105
Laia Peruchet-NorayInternational Agency for Research On Cancer (IARC), Nutrition and Metabolism Branch, 25 Avenue Tony Garnier, CS90627, Lyon, 69366, France.ORCID 0000-0001-8742-8920
Anja M SedlmeierDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.ORCID 0000-0002-7564-3065
Michael F LeitzmannDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.ORCID 0000-0002-0371-2789
Andrea WeberDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, Regensburg, 93053, Germany.ORCID 0000-0002-4777-7808

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundPhysical activity reduces colorectal cancer risk, yet the diurnal timing of physical activity in colorectal cancer etiology remains unclear.

methodsThis 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.

resultsAmong 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.

conclusionsA 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.

Indexed as

Colorectal NeoplasmsExerciseAccelerometryAdultAgedBiological Specimen BanksCircadian RhythmFemaleHumansMaleMiddle AgedRisk FactorsTime FactorsUK BiobankUnited KingdomColorectal cancerPhysical activity patternsRaw accelerometryUK Biobank

Identifiers

PMID39289682
PMCPMC11409794

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.