Evidence map›Paper›PMID 42391119›Full record

ArticlePLoS medicine2026

Accelerometry-measured prolonged and interrupted sedentary behavior and cancer incidence and mortality: A cohort study of 91,292 UK Biobank participants.

Ziyi Zhou, Stewart G Trost, Gemma C Ryde, Solange Parra-Soto, Zhe Fang, Chao Xu, Yujia Lu, Kai Wang, Mengxi Du, Zhi Li and 9 more

Abstract read
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Ziyi ZhouSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-8971-9614
Stewart G TrostSchool of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia.
Gemma C RydeSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
Solange Parra-SotoDepartment of Nutrition and Public Health, Universidad del Bío-Bío, Chillan, Chile.ORCID https://orcid.org/0000-0002-8443-7327
Zhe FangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0003-0864-3644
Chao XuSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0009-0008-4487-8444
Yujia LuDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-4140-4488
Kai WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-5614-5618
Mengxi DuDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-6406-7250
Zhi LiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuebin LvDepartment of Nutrition and Public Health, Universidad del Bío-Bío, Chillan, Chile.
Jason M R GillSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0003-3615-0986
Stuart R GraySchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0001-8969-9636
Carlos Celis-MoralesSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
Marc J GunterNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France.
Edward GiovannucciDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-6123-0219
Jill P PellSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-8898-7035
Mingyang SongDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-1324-0316
Frederick K HoSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0001-7190-9025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent sedentary behavior (SB) guidelines primarily emphasize total time spent sedentary. We explored differences between interrupted and prolonged SB in relation to a range of cancer outcomes. METHODS AND

findingsThis study included 91,292 UK Biobank participants with valid accelerometer data. Participants were followed for a median of 12.38 years (interquartile range 11.56-13.15 years). A two-step approach based on a random forest model was used to classify SB. Multivariable Cox proportional hazards models were applied to overall incident cancers and cancer deaths, plus obesity-related and type-2 diabetes-related cancers, and 23 site-specific cancers. Models were adjusted for demographic, socioeconomic, lifestyle, dietary, and health-status factors, including age, ethnicity, deprivation, education, smoking, alcohol intake, diet, and morbidity count. Isotemporal substitution models were used to estimate the associated cancer risk when replacing prolonged SB with intermittent SB, or physical activity (PA). After adjusting for sociodemographic and lifestyle factors, each additional hour of prolonged SB was associated with a higher risk of overall cancer mortality (hazard ratio [HR] HR1hour 1.09; 95% confidence interval [CI] [1.06, 1.11]; p < 0.001). Replacing 1 hour per day of prolonged SB with light PA (HRLPA 0.88; 95% CI [0.79, 0.99]; p = 0.033) was associated with lower risk of overall cancer mortality. Similarly, replacing 30 min per day of prolonged SB with moderate PA (HRMPA 0.92; 95% CI [0.86, 0.99]; p = 0.024) was associated with a lower risk of overall cancer mortality. The main methodological limitations were observational design, residual confounding, healthy volunteer bias, and measurement imprecision due to having only 7 days of accelerometer wear.

conclusionCancer risk associated with SB is specific to prolonged SB. Replacing prolonged SB physical activity is associated with lower cancer risk.

Indexed as

AccelerometryNeoplasmsSedentary BehaviorAdultAgedBiological Specimen BanksCohort StudiesExerciseFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRisk FactorsTime Factors

Identifiers

PMID42391119
PMCPMC13327276

What Socratic holds

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LicenceCC BY
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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 Socratic graph.