Evidence map›Paper›PMID 27311338›Full record

ArticlePreventive medicine2016

Longitudinal associations of active commuting with body mass index.

Oliver Tristan Mytton, Jenna Panter, David Ogilvie

Open access · hybridAbstract read
In one paragraph

Article in Preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
24.4field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 57 citations in OpenAlex.

  1. Causal relationship between BMI-mediated different modes of transportation and risk of osteoarthritis: a Mendelian randomization and mediation analysis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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  9. Association of changes in commute mode with body mass index and visceral adiposity: a longitudinal study.The international journal of behavioral nutrition and physical activity · 2019
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  13. Exploring Neighborhood Environments and Active Commuting in Chennai, India.International journal of environmental research and public health · 2018
    Article
  14. Exercising in Air Pollution: The Cleanest versus Dirtiest Cities Challenge.International journal of environmental research and public health · 2018
    Article
  15. Insights in Public Health: The Built Environment and Health: How the Places We Live, Work, and Play Shape Our Wellbeing.Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2018
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  16. Associations of increases in public transport use with physical activity and adiposity in older adults.The international journal of behavioral nutrition and physical activity · 2018
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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

3 authors at 2 institutions in 1 country.

Oliver Tristan MyttonMRC Epidemiology Unit, UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. Electronic address: otm21@medschl.cam.ac.uk.
Jenna PanterMRC Epidemiology Unit, UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
David OgilvieMRC Epidemiology Unit, UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
University of Cambridge · GBMRC Epidemiology Unit · GB

Funding

British Heart FoundationDepartment of Health 09/3001/06Department of Health PDF-2012-05-157Medical Research Council MC_UU_12015/6Medical Research Council MR/K023187/1Wellcome Trust
6 · The paper itself

Abstract

objectiveTo investigate the longitudinal associations between active commuting (walking and cycling to work) and body mass index (BMI).

methodWe used self-reported data on height, weight and active commuting from the Commuting and Health in Cambridge study (2009 to 2012; n=809). We used linear regression to test the associations between: a) maintenance of active commuting over one year and BMI at the end of that year; and b) change in weekly time spent in active commuting and change in BMI over one year.

resultsAfter adjusting for sociodemographic variables, other physical activity, physical wellbeing and maintenance of walking, those who maintained cycle commuting reported a lower BMI on average at one year follow-up (1.14kg/m(2), 95% CI: 0.30 to 1.98, n=579) than those who never cycled to work. No significant association remained after adjustment for baseline BMI. No significant associations were observed for maintenance of walking. An increase in walking was associated with a reduction in BMI (0.32kg/m(2), 95% CI: 0.03 to 0.62, n=651, after adjustment for co-variates and baseline BMI) only when restricting the analysis to those who did not move. No other significant associations between changes in weekly time spent walking or cycling on the commute and changes in BMI were observed.

conclusionsThis work provides further evidence of the contribution of active commuting, particularly cycling, to preventing weight gain or facilitating weight loss. The findings may be valuable for employees choosing how to commute and engaging employers in the promotion of active travel.

Indexed as

BicyclingBody Mass IndexHealth SurveysHumansLongitudinal StudiesTransportationUnited KingdomWalkingAdiposityAdultBicyclingBody mass indexEpidemiologyMotor activityObesityTransportationWalking

Identifiers

PMID27311338
PMCPMC5023394
OpenAlexW2435788816

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.