Evidence map›Paper›PMID 32442494›Full record

ArticleThe Lancet. Planetary health2020

Associations between commute mode and cardiovascular disease, cancer, and all-cause mortality, and cancer incidence, using linked Census data over 25 years in England and Wales: a cohort study.

Richard Patterson, Jenna Panter, Eszter P Vamos, Steven Cummins, Christopher Millett, Anthony A Laverty

Abstract read
In one paragraph

Article in The Lancet. Planetary health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 5 pooled it
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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

30 citing papers in PubMed, 5 syntheses or guidelines 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

6 authors.

Richard PattersonPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK; Medical Research Council Epidemiology Unit, and UK Clinical Research Collaboration Centre for Diet and Activity Research, University of Cambridge, Cambridge, UK. Electronic address: richard.patterson@mrc-epid.cam.ac.uk.
Jenna PanterMedical Research Council Epidemiology Unit, and UK Clinical Research Collaboration Centre for Diet and Activity Research, University of Cambridge, Cambridge, UK.
Eszter P VamosPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK.
Steven CumminsPopulation Health Innovation Laboratory, Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
Christopher MillettPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK.
Anthony A LavertyPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK.

Funding

Department of Health RP_2014-04-032Medical Research Council MC_UU_00006/7Medical Research Council MC_UU_12015/6Wellcome Trust
6 · The paper itself

Abstract

backgroundActive travel is increasingly recognised as an important source of physical activity. We aimed to describe associations between commute mode and cardiovascular disease, cancer, and all-cause mortality.

methodsWe analysed data from the Office for National Statistics Longitudinal Study of England and Wales (ONS-LS), which linked data from the Census of England and Wales (henceforth referred to as the Census) for 1991, 2001, and 2011 to mortality and cancer registrations. The cohort included individuals traced in the ONS-LS who were economically active (ie, aged ≥16 years, not retired from work, and not a full-time carer). Commuting by private motorised transport, public transport, walking, and cycling were compared in terms of all-cause mortality, cancer mortality, cardiovascular disease mortality, and cancer incidence, using Cox proportional-hazards models with time-varying covariates. Models were adjusted for age, sex, housing tenure, marital status, ethnicity, university education, car access, population density, socioeconomic classification, Carstairs index quintile, long-term illness, and year entered the study, and were additionally stratified by socioeconomic group.

findingsBetween the 1991 Census and the 2011 Census, 784 677 individuals contributed data for at least one Census, of whom 394 746 were included in the ONS-LS and were considered to be economically active working-age individuals. 13 983 people died, 3172 from cardiovascular disease and 6509 from cancer, and there were 20 980 incident cancer cases. In adjusted models, compared with commuting by private motorised vehicle, bicycle commuting was associated with a 20% reduced rate of all-cause mortality (hazard ratio [HR] 0·80, 95% CI 0·73-0·89), a 24% decreased rate of cardiovascular disease mortality (0·76, 0·61-0·93), a 16% lower rate of cancer mortality (0·84, 0·73-0·98), and an 11% reduced rate of incident cancer (0·89, 0·82-0·97). Compared with commuting by private motorised vehicle, rail commuters had a 10% lower rate of all-cause mortality (HR 0·90, 95% CI 0·83-0·97) and a 21% decreased rate of cardiovascular disease mortality (0·79, 0·67-0·94), in addition to a 12% reduced rate of incident cancer (0·88, 0·83-0·94). Walk commuting was associated with 7% lower cancer incidence (HR 0·93, 95% CI 0·89-0·97) Stratified analyses did not indicate differences in associations between socioeconomic groups.

interpretationOur findings augment existing evidence for the beneficial health effects of physically active commute modes, particularly cycling and train use, and suggest that all socioeconomic groups could benefit.

fundingNational Institute for Health Research.

Indexed as

TransportationAdolescentAdultAgedAged, 80 and overCardiovascular DiseasesEnglandFemaleHumansIncidenceMaleMiddle AgedMortalityNeoplasmsSocioeconomic FactorsWales

Identifiers

PMID32442494
PMCPMC7242898

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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.