Evidence map›Paper›PMID 32041612›Full record

ArticleThe international journal of behavioral nutrition and physical activity2020

The effect of moving to East Village, the former London 2012 Olympic and Paralympic Games Athletes' Village, on mode of travel (ENABLE London study, a natural experiment).

Elizabeth S Limb, Duncan S Procter, Ashley R Cooper, Angie S Page, Claire M Nightingale, Bina Ram, Aparna Shankar, Christelle Clary, Daniel Lewis, Steven Cummins and 6 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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

16 authors at 6 institutions in 2 countries.

Elizabeth S LimbPopulation Health Research Institute, St George's, University of London, London, UK. elimb@sgul.ac.uk.
Duncan S ProcterCentre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK.
Ashley R CooperCentre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK.
Angie S PageCentre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK.
Claire M NightingalePopulation Health Research Institute, St George's, University of London, London, UK.
Bina RamPopulation Health Research Institute, St George's, University of London, London, UK.
Aparna ShankarPopulation Health Research Institute, St George's, University of London, London, UK.
Christelle ClaryDepartment of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK.
Daniel LewisDepartment of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK.
Steven CumminsDepartment of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK.
Anne EllawayMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Billie Giles-CortiNHMRC Centre of Research Excellence in Healthy Liveable Communities, RMIT University, Melbourne, Australia.
Peter H WhincupPopulation Health Research Institute, St George's, University of London, London, UK.
Alicja R RudnickaPopulation Health Research Institute, St George's, University of London, London, UK.
Derek G CookPopulation Health Research Institute, St George's, University of London, London, UK.
Christopher G OwenPopulation Health Research Institute, St George's, University of London, London, UK.
St George's, University of London · GBRoyal Society of Tropical Medicine and Hygiene · GBUniversity Hospitals Bristol NHS Foundation Trust · GBMRC/CSO Social and Public Health Sciences Unit · GBRMIT University · AUUniversity of Bristol · GB

Funding

Chief Scientist Office SPHSU10Chief Scientist Office SPHSU19Department of Health 12/211/69Medical Research Council G1001164Medical Research Council MC_UU_00022/4Medical Research Council MC_UU_12017/10Medical Research Council UK MR/J000345/1Wellcome Trust 204809/Z/16/Z
6 · The paper itself

Abstract

backgroundInterventions to encourage active modes of travel (walking, cycling) may improve physical activity levels, but longitudinal evidence is limited and major change in the built environment / travel infrastructure may be needed. East Village (the former London 2012 Olympic Games Athletes Village) has been repurposed on active design principles with improved walkability, open space and public transport and restrictions on residential car parking. We examined the effect of moving to East Village on adult travel patterns.

methodsOne thousand two hundred seventy-eight adults (16+ years) seeking to move into social, intermediate, and market-rent East Village accommodation were recruited in 2013-2015, and followed up after 2 years. Individual objective measures of physical activity using accelerometry (ActiGraph GT3X+) and geographic location using GPS travel recorders (QStarz) were time-matched and a validated algorithm assigned four travel modes (walking, cycling, motorised vehicle, train). We examined change in time spent in different travel modes, using multilevel linear regresssion models adjusting for sex, age group, ethnicity, housing group (fixed effects) and household (random effect), comparing those who had moved to East Village at follow-up with those who did not.

resultsOf 877 adults (69%) followed-up, 578 (66%) provided valid accelerometry and GPS data for at least 1 day (≥540 min) at both time points; half had moved to East Village. Despite no overall effects on physical activity levels, sizeable improvements in walkability and access to public transport in East Village resulted in decreased daily vehicle travel (8.3 mins, 95%CI 2.5,14.0), particularly in the intermediate housing group (9.6 mins, 95%CI 2.2,16.9), and increased underground travel (3.9 mins, 95%CI 1.2,6.5), more so in the market-rent group (11.5 mins, 95%CI 4.4,18.6). However, there were no effects on time spent walking or cycling.

conclusionDesigning walkable neighbourhoods near high quality public transport and restrictions on car usage, may offer a community-wide strategy shift to sustainable transport modes by increasing public transport use, and reducing motor vehicle travel.

Indexed as

AccelerometryAdolescentAdultExerciseFollow-Up StudiesGeographic Information SystemsHumansResidence CharacteristicsSportsTransportationTravelWalkingYoung AdultBuilt environmentCyclingHousing tenurePhysical activityTravel modeWalking

Identifiers

PMID32041612
PMCPMC7011441
OpenAlexW3003791511

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.