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

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

BMC Public Health, Volume: 14, Issue: 1, Start page: 1094

Swansea University Author: Paul Nash Orcid Logo

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DOI (Published version): 10.1186/1471-2458-14-1094

Abstract

Background: An association between depressive symptoms and features of built environment has been reportedin the literature. A remaining research challenge is the development of methods to efficiently capture pertinentenvironmental features in relevant study settings. Visual streetscape images have...

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Published in: BMC Public Health
Published: 2014
URI: https://cronfa.swan.ac.uk/Record/cronfa21412
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first_indexed 2015-05-15T02:02:58Z
last_indexed 2020-12-16T03:34:41Z
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-12-15T11:02:03.9838614</datestamp><bib-version>v2</bib-version><id>21412</id><entry>2015-05-14</entry><title>Assessing environmental features related to mental health: a reliability study of visual streetscape images</title><swanseaauthors><author><sid>d17c45021e08bb4588d90d0d656af536</sid><ORCID>0000-0002-2974-2046</ORCID><firstname>Paul</firstname><surname>Nash</surname><name>Paul Nash</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2015-05-14</date><deptcode>HIA</deptcode><abstract>Background: An association between depressive symptoms and features of built environment has been reportedin the literature. A remaining research challenge is the development of methods to efficiently capture pertinentenvironmental features in relevant study settings. Visual streetscape images have been used to replace traditionalphysical audits and directly observe the built environment of communities. The aim of this work is to examine theinter-method reliability of the two audit methods for assessing community environments with a specific focus onphysical features related to mental health.Methods: Forty-eight postcodes in urban and rural areas of Cambridgeshire, England were randomly selected froman alphabetical list of streets hosted on a UK property website. The assessment was conducted in July and August2012 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 UKpostcodes. The assessor used the images of Google Street View and virtually &#x201C;walked through&#x201D; the streets toconduct the property and street level assessments. Gwet&#x2019;s AC1 coefficients and Bland-Altman plots were used tocompare the concordance of two audits.Results: The 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 agreementwhich importantly lead to most of the variation in the overall REAT score. Postcodes in urban areas had lowerconsistency between the two methods than rural areas.Conclusions: Google Street View has the potential to assess environmental features related to mental healthwith fair reliability and provide a less resource intense method of assessing community environments thanphysical audits.</abstract><type>Journal Article</type><journal>BMC Public Health</journal><volume>14</volume><journalNumber>1</journalNumber><paginationStart>1094</paginationStart><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords>Neighbourhood, Audit tool development, Mental health, Built environment, Residential environmental assessment tool</keywords><publishedDay>22</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2014</publishedYear><publishedDate>2014-10-22</publishedDate><doi>10.1186/1471-2458-14-1094</doi><url/><notes/><college>COLLEGE NANME</college><department>Centre for Innovative Ageing</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HIA</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-12-15T11:02:03.9838614</lastEdited><Created>2015-05-14T16:14:19.1483199</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">The Centre for Innovative Ageing</level></path><authors><author><firstname>Yu-Tzu</firstname><surname>Wu</surname><order>1</order></author><author><firstname>Paul</firstname><surname>Nash</surname><orcid>0000-0002-2974-2046</orcid><order>2</order></author><author><firstname>Linda E</firstname><surname>Barnes</surname><order>3</order></author><author><firstname>Thais</firstname><surname>Minett</surname><order>4</order></author><author><firstname>Fiona E</firstname><surname>Matthews</surname><order>5</order></author><author><firstname>Andy</firstname><surname>Jones</surname><order>6</order></author><author><firstname>Carol</firstname><surname>Brayne</surname><order>7</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2020-12-15T11:02:03.9838614 v2 21412 2015-05-14 Assessing environmental features related to mental health: a reliability study of visual streetscape images d17c45021e08bb4588d90d0d656af536 0000-0002-2974-2046 Paul Nash Paul Nash true false 2015-05-14 HIA Background: An association between depressive symptoms and features of built environment has been reportedin the literature. A remaining research challenge is the development of methods to efficiently capture pertinentenvironmental features in relevant study settings. Visual streetscape images have been used to replace traditionalphysical audits and directly observe the built environment of communities. The aim of this work is to examine theinter-method reliability of the two audit methods for assessing community environments with a specific focus onphysical features related to mental health.Methods: Forty-eight postcodes in urban and rural areas of Cambridgeshire, England were randomly selected froman alphabetical list of streets hosted on a UK property website. The assessment was conducted in July and August2012 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 UKpostcodes. The assessor used the images of Google Street View and virtually “walked through” the streets toconduct the property and street level assessments. Gwet’s AC1 coefficients and Bland-Altman plots were used tocompare the concordance of two audits.Results: The 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 agreementwhich importantly lead to most of the variation in the overall REAT score. Postcodes in urban areas had lowerconsistency between the two methods than rural areas.Conclusions: Google Street View has the potential to assess environmental features related to mental healthwith fair reliability and provide a less resource intense method of assessing community environments thanphysical audits. Journal Article BMC Public Health 14 1 1094 Neighbourhood, Audit tool development, Mental health, Built environment, Residential environmental assessment tool 22 10 2014 2014-10-22 10.1186/1471-2458-14-1094 COLLEGE NANME Centre for Innovative Ageing COLLEGE CODE HIA Swansea University 2020-12-15T11:02:03.9838614 2015-05-14T16:14:19.1483199 Faculty of Medicine, Health and Life Sciences The Centre for Innovative Ageing Yu-Tzu Wu 1 Paul Nash 0000-0002-2974-2046 2 Linda E Barnes 3 Thais Minett 4 Fiona E Matthews 5 Andy Jones 6 Carol Brayne 7
title Assessing environmental features related to mental health: a reliability study of visual streetscape images
spellingShingle Assessing environmental features related to mental health: a reliability study of visual streetscape images
Paul Nash
title_short Assessing environmental features related to mental health: a reliability study of visual streetscape images
title_full Assessing environmental features related to mental health: a reliability study of visual streetscape images
title_fullStr Assessing environmental features related to mental health: a reliability study of visual streetscape images
title_full_unstemmed Assessing environmental features related to mental health: a reliability study of visual streetscape images
title_sort Assessing environmental features related to mental health: a reliability study of visual streetscape images
author_id_str_mv d17c45021e08bb4588d90d0d656af536
author_id_fullname_str_mv d17c45021e08bb4588d90d0d656af536_***_Paul Nash
author Paul Nash
author2 Yu-Tzu Wu
Paul Nash
Linda E Barnes
Thais Minett
Fiona E Matthews
Andy Jones
Carol Brayne
format Journal article
container_title BMC Public Health
container_volume 14
container_issue 1
container_start_page 1094
publishDate 2014
institution Swansea University
doi_str_mv 10.1186/1471-2458-14-1094
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str The Centre for Innovative Ageing{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}The Centre for Innovative Ageing
document_store_str 0
active_str 0
description Background: An association between depressive symptoms and features of built environment has been reportedin the literature. A remaining research challenge is the development of methods to efficiently capture pertinentenvironmental features in relevant study settings. Visual streetscape images have been used to replace traditionalphysical audits and directly observe the built environment of communities. The aim of this work is to examine theinter-method reliability of the two audit methods for assessing community environments with a specific focus onphysical features related to mental health.Methods: Forty-eight postcodes in urban and rural areas of Cambridgeshire, England were randomly selected froman alphabetical list of streets hosted on a UK property website. The assessment was conducted in July and August2012 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 UKpostcodes. The assessor used the images of Google Street View and virtually “walked through” the streets toconduct the property and street level assessments. Gwet’s AC1 coefficients and Bland-Altman plots were used tocompare the concordance of two audits.Results: The 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 agreementwhich importantly lead to most of the variation in the overall REAT score. Postcodes in urban areas had lowerconsistency between the two methods than rural areas.Conclusions: Google Street View has the potential to assess environmental features related to mental healthwith fair reliability and provide a less resource intense method of assessing community environments thanphysical audits.
published_date 2014-10-22T03:25:23Z
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score 11.016235

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