Evidence map›Paper›PMID 28693547›Full record

ArticleBMC public health2017

Longitudinal associations between built environment characteristics and changes in active commuting.

Lin Yang, Simon Griffin, Kay-Tee Khaw, Nick Wareham, Jenna Panter

Erratum issuedAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Perceived Neighborhood Safety and Active Transportation in Adults from Eight Latin American Countries.International journal of environmental research and public health · 2022
    Article
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  11. Neighbourhood drivability: environmental and individual characteristics associated with car use across Europe.The international journal of behavioral nutrition and physical activity · 2020
    Article
  12. Article
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  14. Exploring Neighborhood Environments and Active Commuting in Chennai, India.International journal of environmental research and public health · 2018
    Article
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  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Lin YangMRC 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.
Simon GriffinMRC 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.
Kay-Tee KhawDepartment of Public Health and Primary Care, School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge, CB2 0SR, UK.
Nick WarehamMRC 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.
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. jenna.panter@mrc-epid.cam.ac.uk.ORCID 0000-0001-8870-718X

Funding

British Heart FoundationCancer Research UK C864/A14136Department of Health PDF-2012-05-157Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/4Medical Research Council MC_UU_12015/6Medical Research Council MR/K023187/1Medical Research Council MR/K025147/1Medical Research Council MR/N003284/1
6 · The paper itself

Abstract

backgroundFew studies have assessed the predictors of changes in commuting. This study investigated the associations between physical environmental characteristics and changes in active commuting.

methodsAdults from the population-based European Prospective Investigation into Cancer (EPIC)-Norfolk cohort self-reported commuting patterns in 2000 and 2007. Active commuters were defined as those who reported 'always' or 'usually' walking or cycling to work. Environmental attributes around the home and route were assessed using Geographical Information Systems. Associations between potential environmental predictors and uptake and maintenance of active commuting were modelled using logistic regression, adjusting for age, sex and BMI.

resultsOf the 2757 participants (62% female, median baseline age: 52, IQR: 50-56 years), most were passive commuters at baseline (76%, n = 2099) and did not change their usual commute mode over 7 years (82%, n = 2277). In multivariable regression models, participants living further from work were less likely to take up active commuting and those living in neighbourhoods with more streetlights were more likely to take up active commuting (both p < 0.05). Findings for maintenance were similar: participants living further from work (over 10 km, OR: 0.06; 95% CI: 0.25 to 0.13) and had a main or secondary road on route were more likely to maintain their active commuting (OR: 0.52; 95% CI: 0.28 to 0.98). Those living in neighbourhoods with greater density of employment locations were more likely to maintain their active commuting.

conclusionsCo-locating residential and employment centres as well as redesigning urban areas to improve safety for pedestrians and cyclists may encourage active commuting. Future evaluative studies should seek to assess the effects of redesigning the built environment on active commuting and physical activity.

Indexed as

BicyclingEnvironment DesignTransportationWalkingDiagnostic Self EvaluationEmploymentFemaleGeographic Information SystemsHealth BehaviorHealth PromotionHousingHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedActive commutingEnvironmentEPIC-NorfolkGISLongitudinalTravel

Identifiers

PMID28693547
PMCPMC5527401

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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.