Evidence map›Paper›PMID 40628494›Full record

ArticleInternational journal of epidemiology2025

Associations between commuting modes and risk of 16 site-specific cancers in the UK Biobank.

Win Thu, Alana Cavadino, Alistair Woodward, Sandar Tin Tin

Abstract read
In one paragraph

Article in International journal of epidemiology, 2025. 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

4 authors.

Win ThuEpidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand.
Alana CavadinoEpidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-5709-367X
Alistair WoodwardEpidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand.
Sandar Tin TinEpidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand.

Funding

Health Research Council of New Zealand
6 · The paper itself

Abstract

backgroundThe choice of transport mode may influence cancer risk by affecting physical activity level, sedentary behaviour, and exposure to environmental pollution. This study investigated the associations between commuting modes and 16 site-specific cancers in the UK Biobank.

methodsThe UK Biobank is a prospective cohort study involving about 500 000 participants. Information on transport modes was collected at recruitment, and incident cancer cases were identified through linkage to national cancer registries. Multivariable Cox proportional hazards models were used.

resultsThere were 252 334 employed participants included, and 15 828 incident cancer cases were identified over a median follow-up of 11.7 years. Compared to the car-only mode, cycling (exclusively or combined with any other modes) was associated with a lower risk of colon [hazard ratio (HR): 0.72; 95% confidence interval: 0.53-0.96], renal (HR: 0.60; 0.38-0.96), and stomach (HR: 0.27; 0.10-0.71) cancers. Walking (exclusively or combined with any motorized mode) was associated with a lower risk of renal (HR: 0.67; 0.49-0.92) and liver (HR: 0.55; 0.31-0.98) cancers. Public transport users were less engaged in other physical activities, and its use was associated with a higher risk of bladder cancer (HR: 1.39; 1.01-1.90).

conclusionsActive commuting, even combined with motorized modes, is associated with a lower risk of some common cancers.

Indexed as

NeoplasmsTransportationAdultAgedBicyclingBiological Specimen BanksFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUK BiobankUnited Kingdomactive modescommutingprospective cohort studysite-specific cancers

Identifiers

PMID40628494
PMCPMC12237514

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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.