Evidence map›Paper›PMID 29527463›Full record

ArticlePreventive medicine reports2018

Validity of Walk Score® as a measure of neighborhood walkability in Japan.

Mohammad Javad Koohsari, Takemi Sugiyama, Tomoya Hanibuchi, Ai Shibata, Kaori Ishii, Yung Liao, Koichiro Oka

Abstract read
In one paragraph

Article in Preventive medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

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  13. Walkability and Fitness Center Prices, Opening Hours, and Extra Services: The Case of Madrid, Spain.International journal of environmental research and public health · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Walk ScoreInternational journal of environmental research and public health · 2019
    Article
  18. Physical Activity Environment and Japanese Adults' Body Mass Index.International journal of environmental research and public health · 2018
    Article
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.

Mohammad Javad KoohsariFaculty of Sport Sciences, Waseda University, Japan.
Takemi SugiyamaMary MacKillop Institute for Health Research, Australian Catholic University, Australia.
Tomoya HanibuchiSchool of International Liberal Studies, Chukyo University, Japan.
Ai ShibataFaculty of Health and Sport Sciences, University of Tsukuba, Japan.
Kaori IshiiFaculty of Sport Sciences, Waseda University, Japan.
Yung LiaoDepartment of Health Promotion and Health Education, National Taiwan Normal University, Taiwan.
Koichiro OkaFaculty of Sport Sciences, Waseda University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective measures of environmental attributes have been used to understand how neighborhood environments relate to physical activity. However, this method relies on detailed spatial data, which are often not easily available. Walk Score® is a free, publicly available web-based tool that shows how walkable a given location is based on objectively-derived proximity to several types of local destinations and street connectivity. To date, several studies have tested the concurrent validity of Walk Score as a measure of neighborhood walkability in the USA and Canada. However, it is unknown whether Walk Score is a valid measure in other regions. The current study examined how Walk Score is correlated with objectively-derived attributes of neighborhood walkability, for residential addresses in Japan. Walk Scores were obtained for 1072 residential addresses in urban and rural areas in Japan. Five environmental attributes (residential density, intersection density, number of local destinations, sidewalk availability, and access to public transportation) were calculated using geographic information systems for each address. Pearson's correlation coefficients between Walk Score and these environmental attributes were calculated (conducted in May 2017). Significant positive correlations were observed between Walk Score and environmental attributes relevant to walking. Walk Score was most closely associated with intersection density (

Indexed as

Active designBuilt environmentGeographic information systemsToolUrban designWalking

Identifiers

PMID29527463
PMCPMC5840858

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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.