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A Participatory Virtual Audit of the Built Environment for Age-Friendliness

aut.relation.articlenumber36
aut.relation.issue1
aut.relation.journalInt J Health Geogr
aut.relation.startpage36
aut.relation.volume24
dc.contributor.authorCurl, Angela
dc.contributor.authorWatkins, Alison
dc.contributor.authorSmithies, Amanda
dc.contributor.authorDares, Cushla
dc.contributor.authorPocock, Tessa
dc.contributor.authorWilliman, Jonathan
dc.contributor.authorTodd, Verity
dc.contributor.authorDicker, Bridget
dc.contributor.authorKeeling, Sally
dc.date.accessioned2025-11-27T01:34:42Z
dc.date.available2025-11-27T01:34:42Z
dc.date.issued2025-11-22
dc.description.abstractBACKGROUND: Geospatial studies that consider the relationships between the built environment and health typically rely on researcher-led 'objective' measurement of geospatial attributes of the built environment. Some studies can fail to find expected associations between environments and health outcomes where the geospatial measures do not reflect the experiences or perceptions of people themselves. We took a participatory approach to work with older adults with a concern for falling to assess the built environment in order that we could understand how their assessments relate to researcher assessments. We also wanted to assess whether specific demographic characteristics explained differences in assessments of the built environment between participants. Age-friendly environments can contribute to healthy active ageing. Falling and a fear of falling can lead to restricted outdoor activity. Therefore, understanding how the built environment contributes to fear of falling is important for age-friendly environments. METHODS: The study is a cross-sectional retrospective observational study of the built environment. We worked with older adults in workshop settings to undertake community audits of the built environment in Google Street View. They assessed locations where a fall had occurred. Researchers separately audited the same locations. We used descriptive statistics and ordinal regression cumulative link mixed models to estimate the odds that community members would rank a location one level higher than the researchers. RESULTS: There are significant differences in researcher and community auditor assessments of locations of attractiveness. Site related and individual attributes explain variation in how difficult locations were rated for walking, and for concern about falling. Only individual attributes explained variation in site attractiveness. Locations with more trip hazards and steeper slopes were rated as being more difficult to walk and were associated with greater concern for falling. CONCLUSIONS: Attributes of the built environment influence perceptions of difficulty walking and concern or falling at specific locations. Furthermore, there are some differences in how researchers and community auditors assess the same locations, meaning that geospatial studies which rely only on researcher assessments may be prone to bias. Involving older people in geospatial studies that measure age-friendly environments can make measurement more reflective of their experiences.
dc.identifier.citationInt J Health Geogr, ISSN: 1476-072X (Print); 1476-072X (Online), Springer Science and Business Media LLC, 24(1), 36-. doi: 10.1186/s12942-025-00422-w
dc.identifier.doi10.1186/s12942-025-00422-w
dc.identifier.issn1476-072X
dc.identifier.issn1476-072X
dc.identifier.urihttp://hdl.handle.net/10292/20225
dc.languageeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.urihttps://link.springer.com/article/10.1186/s12942-025-00422-w
dc.rightsOpen Access. This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
dc.rights.accessrightsOpenAccess
dc.subjectBuilt environment
dc.subjectOlder adults
dc.subjectParticipatory methods
dc.subjectPedestrian falls
dc.subjectPerceptions
dc.subject1117 Public Health and Health Services
dc.subject1604 Human Geography
dc.subjectPublic Health
dc.subject4202 Epidemiology
dc.subject4203 Health services and systems
dc.subject4206 Public health
dc.subject.meshHumans
dc.subject.meshBuilt Environment
dc.subject.meshFemale
dc.subject.meshMale
dc.subject.meshAged
dc.subject.meshCross-Sectional Studies
dc.subject.meshRetrospective Studies
dc.subject.meshAccidental Falls
dc.subject.meshAged, 80 and over
dc.subject.meshMiddle Aged
dc.subject.meshEnvironment Design
dc.subject.meshCommunity-Based Participatory Research
dc.subject.meshAging
dc.subject.meshHumans
dc.subject.meshRetrospective Studies
dc.subject.meshCross-Sectional Studies
dc.subject.meshEnvironment Design
dc.subject.meshAccidental Falls
dc.subject.meshAging
dc.subject.meshAged
dc.subject.meshAged, 80 and over
dc.subject.meshMiddle Aged
dc.subject.meshFemale
dc.subject.meshMale
dc.subject.meshCommunity-Based Participatory Research
dc.subject.meshBuilt Environment
dc.titleA Participatory Virtual Audit of the Built Environment for Age-Friendliness
dc.typeJournal Article
pubs.elements-id746761

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