Evidence map›Paper›PMID 27331818›Full record

ArticleInternational journal of environmental research and public health2016

Walk Score, Transportation Mode Choice, and Walking Among French Adults: A GPS, Accelerometer, and Mobility Survey Study.

Dustin T Duncan, Julie Méline, Yan Kestens, Kristen Day, Brian Elbel, Leonardo Trasande, Basile Chaix

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
22.6field-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

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 73 citations in OpenAlex.

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  17. Walkability and Fitness Center Prices, Opening Hours, and Extra Services: The Case of Madrid, Spain.International journal of environmental research and public health · 2020
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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

7 authors at 5 institutions in 3 countries.

Dustin T DuncanDepartment of Population Health, New York University School of Medicine, New York, NY 10016, USA. dustin.duncan@nyumc.org.
Julie MélineInserm, UMR-S 1136, Pierre Louis Institute of Epidemiology and Public Health, Nemesis Team, Paris 75012, France. julie.meline@inserm.fr.
Yan KestensDepartment of Social and Preventive Medicine, École de Santé Publique de l'Université de Montréal, Montreal, Montréal, QC H3N 1X9, Canada. yan.kestens@umontreal.ca.
Kristen DayDepartment of Technology, Culture and Society, New York University Tandon School of Engineering, New York, NY 11201, USA. kday@nyu.edu.
Brian ElbelDepartment of Population Health, New York University School of Medicine, New York, NY 10016, USA. brian.elbel@nyumc.org.
Leonardo TrasandeDepartment of Population Health, New York University School of Medicine, New York, NY 10016, USA. Leonardo.Trasande@nyumc.org.
Basile ChaixInserm, UMR-S 1136, Pierre Louis Institute of Epidemiology and Public Health, Nemesis Team, Paris 75012, France. basile.chaix@iplesp.upmc.fr.
Inserm · FRNew York University · USPopulation Council · USUniversité de Montréal · CAWagner College · US

Funding

CIHR
6 · The paper itself

Abstract

backgroundFew studies have used GPS data to analyze the relationship between Walk Score, transportation choice and walking. Additionally, the influence of Walk Score is understudied using trips rather than individuals as statistical units. The purpose of this study is to examine associations at the trip level between Walk Score, transportation mode choice, and walking among Paris adults who were tracked with GPS receivers and accelerometers in the RECORD GPS Study.

methodsIn the RECORD GPS Study, 227 participants were tracked during seven days with GPS receivers and accelerometers. Participants were also surveyed with a GPS-based web mapping application on their activities and transportation modes for all trips (6969 trips). Walk Score, which calculates neighborhood walkability, was assessed for each origin and destination of every trip. Multilevel logistic and linear regression analyses were conducted to estimate associations between Walk Score and walking in the trip or accelerometry-assessed number of steps for each trip, after adjustment for individual/neighborhood characteristics.

resultsThe mean overall Walk Scores for trip origins were 87.1 (SD = 14.4) and for trip destinations 87.1 (SD = 14.5). In adjusted trip-level associations between Walk Score and walking only in the trip, we found that a walkable neighborhood in the trip origin and trip destination was associated with increased odds of walking in the trip assessed in the survey. The odds of only walking in the trip were 3.48 (95% CI: 2.73 to 4.44) times higher when the Walk Score for the trip origin was "Walker's Paradise" compared to less walkable neighborhoods (Very/Car-Dependent or Somewhat Walkable), with an identical independent effect of trip destination Walk Score on walking. The number of steps per 10 min (as assessed with accelerometry) was cumulatively higher for trips both originating and ending in walkable neighborhoods (i.e., "Very Walkable").

conclusionsWalkable neighborhoods were associated with increases in walking among adults in Paris, as documented at the trip level. Creating walkable neighborhoods (through neighborhood design increased commercial activity) may increase walking trips and, therefore, could be a relevant health promotion strategy to increase physical activity.

Indexed as

AccelerometryAdultAgedEnvironment DesignExerciseFemaleGeographic Information SystemsHealth PromotionHumansMaleMiddle AgedParisResidence CharacteristicsSurveys and QuestionnairesTransportationWalkingaccelerometerbuilt environmentGPSParisphysical activitytransportationwalkabilitywalking tripsWalk Score

Identifiers

PMID27331818
PMCPMC4924068
OpenAlexW2461347891

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.