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Measurement Indicators of Age-Friendly Communities: Findings From the AARP Age-Friendly Community Survey

Cities and counties worldwide have adopted the concept of “age-friendly communities” to promote the well-being of older adults. An age-friendly community is a place that provides a safe and affordable built environment and a social environment that encourages older adults’ participation. A major lim...

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Autores principales: Kim, Kyeongmo, Buckley, Tommy, Burnette, Denise, Cho, Sunghwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741620/
http://dx.doi.org/10.1093/geroni/igaa057.166
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author Kim, Kyeongmo
Buckley, Tommy
Burnette, Denise
Cho, Sunghwan
author_facet Kim, Kyeongmo
Buckley, Tommy
Burnette, Denise
Cho, Sunghwan
author_sort Kim, Kyeongmo
collection PubMed
description Cities and counties worldwide have adopted the concept of “age-friendly communities” to promote the well-being of older adults. An age-friendly community is a place that provides a safe and affordable built environment and a social environment that encourages older adults’ participation. A major limitation in this field is the lack of valid and reliable measures of age-friendly communities. This study used data from the AARP 2016 Age-Friendly Community Surveys (N=3,652 adults ages 65 and older). This study included 57 indicators of age-friendliness (e.g., housing, transportation, public space, civic engagement, volunteering, community, and health services); socio-demographic characteristics; and health-related characteristics. We randomly split the sample into two subsamples for confirmatory factor analysis (CFA) (n=1,682) and structural equation modeling (SEM) (n=1,682). The CFA resulted in a three-factor structure to measure age-friendly communities: built environment, transportation, and social environment. Model fit indices were acceptable (χ²(44)=14204.09; p<.001; RMSEA=.067; CFI=.912; TLI=.909; SRMR=.05). Internal reliability of the three-factor structure was excellent ranging from .93 to .96. The SEM model showed that older adults living in a community with a greater built environment (β=.119; p=.001) and the social environment (β=.199; p<.001) had higher levels of physical health, after adjusting for all other variables. The findings highlight that the measures of age-friendly communities are reliable and valid. Practitioners and policymakers should work on improving both the built and the social environment to promote the well-being of older adults. The findings also suggested that researchers can use the measures as an evaluation tool for an age-friendly community initiative.
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spelling pubmed-77416202020-12-21 Measurement Indicators of Age-Friendly Communities: Findings From the AARP Age-Friendly Community Survey Kim, Kyeongmo Buckley, Tommy Burnette, Denise Cho, Sunghwan Innov Aging Abstracts Cities and counties worldwide have adopted the concept of “age-friendly communities” to promote the well-being of older adults. An age-friendly community is a place that provides a safe and affordable built environment and a social environment that encourages older adults’ participation. A major limitation in this field is the lack of valid and reliable measures of age-friendly communities. This study used data from the AARP 2016 Age-Friendly Community Surveys (N=3,652 adults ages 65 and older). This study included 57 indicators of age-friendliness (e.g., housing, transportation, public space, civic engagement, volunteering, community, and health services); socio-demographic characteristics; and health-related characteristics. We randomly split the sample into two subsamples for confirmatory factor analysis (CFA) (n=1,682) and structural equation modeling (SEM) (n=1,682). The CFA resulted in a three-factor structure to measure age-friendly communities: built environment, transportation, and social environment. Model fit indices were acceptable (χ²(44)=14204.09; p<.001; RMSEA=.067; CFI=.912; TLI=.909; SRMR=.05). Internal reliability of the three-factor structure was excellent ranging from .93 to .96. The SEM model showed that older adults living in a community with a greater built environment (β=.119; p=.001) and the social environment (β=.199; p<.001) had higher levels of physical health, after adjusting for all other variables. The findings highlight that the measures of age-friendly communities are reliable and valid. Practitioners and policymakers should work on improving both the built and the social environment to promote the well-being of older adults. The findings also suggested that researchers can use the measures as an evaluation tool for an age-friendly community initiative. Oxford University Press 2020-12-16 /pmc/articles/PMC7741620/ http://dx.doi.org/10.1093/geroni/igaa057.166 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Kim, Kyeongmo
Buckley, Tommy
Burnette, Denise
Cho, Sunghwan
Measurement Indicators of Age-Friendly Communities: Findings From the AARP Age-Friendly Community Survey
title Measurement Indicators of Age-Friendly Communities: Findings From the AARP Age-Friendly Community Survey
title_full Measurement Indicators of Age-Friendly Communities: Findings From the AARP Age-Friendly Community Survey
title_fullStr Measurement Indicators of Age-Friendly Communities: Findings From the AARP Age-Friendly Community Survey
title_full_unstemmed Measurement Indicators of Age-Friendly Communities: Findings From the AARP Age-Friendly Community Survey
title_short Measurement Indicators of Age-Friendly Communities: Findings From the AARP Age-Friendly Community Survey
title_sort measurement indicators of age-friendly communities: findings from the aarp age-friendly community survey
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741620/
http://dx.doi.org/10.1093/geroni/igaa057.166
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