Evidence map›Paper›PMID 25335922›Full record

ArticleBMC public health2014

Assessing environmental features related to mental health: a reliability study of visual streetscape images.

Yu-Tzu Wu, Paul Nash, Linda E Barnes, Thais Minett, Fiona E Matthews, Andy Jones, Carol Brayne

Abstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Mental health benefits of long-term exposure to residential green and blue spaces: a systematic review.International journal of environmental research and public health · 2015
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Validity of environmental audits using GigaPanInternational journal of health geographics · 2018
    Article
  11. Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago.International journal of environmental research and public health · 2018
    Article
  12. Article
  13. Article
  14. Measuring Neighborhood Walkable Environments: A Comparison of Three Approaches.International journal of environmental research and public health · 2017
    Article
  15. Article
  16. Review
  17. Article
  18. 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.

Yu-Tzu WuDepartment of Public Health and Primary Care, Institute of Public Health, Forvie Site, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK. ytw22@medschl.cam.ac.uk.
Paul Nash
Linda E Barnes
Thais Minett
Fiona E Matthews
Andy Jones
Carol Brayne

Funding

Medical Research Council MC_U105292687Medical Research Council U105292687
6 · The paper itself

Abstract

backgroundAn association between depressive symptoms and features of built environment has been reported in the literature. A remaining research challenge is the development of methods to efficiently capture pertinent environmental features in relevant study settings. Visual streetscape images have been used to replace traditional physical audits and directly observe the built environment of communities. The aim of this work is to examine the inter-method reliability of the two audit methods for assessing community environments with a specific focus on physical features related to mental health.

methodsForty-eight postcodes in urban and rural areas of Cambridgeshire, England were randomly selected from an alphabetical list of streets hosted on a UK property website. The assessment was conducted in July and August 2012 by both physical and visual image audits based on the items in Residential Environment Assessment Tool (REAT), an observational instrument targeting the micro-scale environmental features related to mental health in UK postcodes. The assessor used the images of Google Street View and virtually "walked through" the streets to conduct the property and street level assessments. Gwet's AC1 coefficients and Bland-Altman plots were used to compare the concordance of two audits.

resultsThe results of conducting the REAT by visual image audits generally correspond to direct observations. More variations were found in property level items regarding physical incivilities, with broad limits of agreement which importantly lead to most of the variation in the overall REAT score. Postcodes in urban areas had lower consistency between the two methods than rural areas.

conclusionsGoogle Street View has the potential to assess environmental features related to mental health with fair reliability and provide a less resource intense method of assessing community environments than physical audits.

Indexed as

EnvironmentMental HealthObserver VariationResidence CharacteristicsUser-Computer InterfaceData CollectionEnglandEnvironment DesignHealth ResourcesHousehold ArticlesHumansMaps as TopicReproducibility of ResultsSearch EngineWork

Identifiers

PMID25335922
PMCPMC4219017

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.