Evidence map›Paper›PMID 27752462›Full record

ArticlePreventive medicine reports2016

Check the score: Field validation of Street Smart Walk Score in Alberta, Canada.

Candace I J Nykiforuk, Jennifer Ann McGetrick, Katelynn Crick, Jeffrey A Johnson

Abstract read
In one paragraph

Article in Preventive medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes.International journal of environmental research and public health · 2020
    Article
  8. Does Environmental Walkability Matter? The Role of Walkable Environment in Active Commuting.International journal of environmental research and public health · 2020
    Article
  9. Article
  10. Test-Retest Reliability and Walk ScoreInternational journal of environmental research and public health · 2019
    Article
  11. Walk ScoreInternational journal of environmental research and public health · 2019
    Article
  12. Physical Activity Environment and Japanese Adults' Body Mass Index.International journal of environmental research and public health · 2018
    Article
  13. Article
  14. 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

4 authors.

Candace I J NykiforukSchool of Public Health, University of Alberta, 3-300 Edmonton Clinic Health Academy, 11405 87 Avenue NW, Edmonton, Alberta T6G 1C9, Canada.
Jennifer Ann McGetrickSchool of Public Health, University of Alberta, 3-300 Edmonton Clinic Health Academy, 11405 87 Avenue NW, Edmonton, Alberta T6G 1C9, Canada.
Katelynn CrickSchool of Public Health, University of Alberta, 3-300 Edmonton Clinic Health Academy, 11405 87 Avenue NW, Edmonton, Alberta T6G 1C9, Canada.
Jeffrey A JohnsonSchool of Public Health, University of Alberta, 3-300 Edmonton Clinic Health Academy, 11405 87 Avenue NW, Edmonton, Alberta T6G 1C9, Canada.

Funding

CIHR 137909-1
6 · The paper itself

Abstract

Walk Score® is a proprietary walkability metric that ranks locations by proximity to destinations, with emerging health promotion applications for increasing walking as physical activity. Currently, field validations of Walk Score® have only occurred in metropolitan regions of the United States; moreover, many studies employ an earlier Walk Score® version utilizing straight line distance. To address this gap, we conducted a field validation of the newest, network-based metric for three municipal types along a rural-urban continuum in Alberta, Canada. In 2015, using street-level systematic observations collected in Bonnyville, Medicine Hat, and North Central Edmonton in 2008 (part of the Community Health and the Built Environment (CHBE) project), we reverse engineered 2181 scores with the network Walk Score® algorithm. We computed means, 95% confidence intervals, and t-tests (α = 0.05) for both sets of scores. Applying the Clifford-Richardson adjustment for spatial autocorrelation, we calculated Spearman's Rank Correlation Coefficients (rho, r

Indexed as

ABL, Average Block LengthBMI, Body Mass IndexCHBE, Community Health and the Built EnvironmentChronic diseaseCI, Confidence IntervalCSRS, Canadian Spatial Reference SystemGeographic mappingGIS, Geographic Information SystemHealth promotionID, Intersection DensityIMI, Irvine-Minnesota InventoryNAD, North American DatumNC, North CentralNRN, National Road NetworkSS, Street SmartTM, Transverse MercatorValidation studiesWalking

Identifiers

PMID27752462
PMCPMC5065046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.