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Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income

BACKGROUND: Walking, and in particular, outdoor walking, is the most common form of physical activity for older adults. To date, no study investigated the association between the neighborhood built environment and physical activity habits of older adults of low SES. Thus, our overarching aim was to...

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Autores principales: Chudyk, Anna M., McKay, Heather A., Winters, Meghan, Sims-Gould, Joanie, Ashe, Maureen C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5385598/
https://www.ncbi.nlm.nih.gov/pubmed/28395672
http://dx.doi.org/10.1186/s12877-017-0469-5
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author Chudyk, Anna M.
McKay, Heather A.
Winters, Meghan
Sims-Gould, Joanie
Ashe, Maureen C.
author_facet Chudyk, Anna M.
McKay, Heather A.
Winters, Meghan
Sims-Gould, Joanie
Ashe, Maureen C.
author_sort Chudyk, Anna M.
collection PubMed
description BACKGROUND: Walking, and in particular, outdoor walking, is the most common form of physical activity for older adults. To date, no study investigated the association between the neighborhood built environment and physical activity habits of older adults of low SES. Thus, our overarching aim was to examine the association between the neighborhood built environment and the spectrum of physical activity and walking for transportation in older adults of low socioeconomic status. METHODS: Cross-sectional data were from the Walk the Talk Study, collected in 2012. Participants (n = 161, mean age = 74 years) were in receipt of a rental subsidy for low income individuals and resided in neighbourhoods across Metro Vancouver, Canada. We used the Street Smart Walk Score to objectively characterize the built environment main effect (walkability), accelerometry for objective physical activity, and the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire to measure walking for transportation. We used regression analyses to examine associations of objectively measured physical activity [total volume, light intensity and moderate intensity physical activity (MVPA)] and self-reported walking for transportation (any, frequency, duration) with walkability. We adjusted analyses for person- and environment-level factors associated with older adult physical activity. RESULTS: Neighbourhood walkability was not associated with physical activity volume or intensity and self-reported walking for transportation, with one exception. Each 10-point increase in Street Smart Walk Score was associated with a 45% greater odds of any walking for transportation (compared with none; OR = 1.45, 95% confidence interval = 1.18, 1.78). Sociodemographic, physical function and attitudinal factors were significant predictors of physical activity across our models. CONCLUSIONS: The lack of associations between most of the explored outcomes may be due to the complexity of the relation between the person and environment. Given that this is the first study to explore these associations specifically in older adults living on low income, this study should be replicated in other settings.
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spelling pubmed-53855982017-04-11 Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income Chudyk, Anna M. McKay, Heather A. Winters, Meghan Sims-Gould, Joanie Ashe, Maureen C. BMC Geriatr Research Article BACKGROUND: Walking, and in particular, outdoor walking, is the most common form of physical activity for older adults. To date, no study investigated the association between the neighborhood built environment and physical activity habits of older adults of low SES. Thus, our overarching aim was to examine the association between the neighborhood built environment and the spectrum of physical activity and walking for transportation in older adults of low socioeconomic status. METHODS: Cross-sectional data were from the Walk the Talk Study, collected in 2012. Participants (n = 161, mean age = 74 years) were in receipt of a rental subsidy for low income individuals and resided in neighbourhoods across Metro Vancouver, Canada. We used the Street Smart Walk Score to objectively characterize the built environment main effect (walkability), accelerometry for objective physical activity, and the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire to measure walking for transportation. We used regression analyses to examine associations of objectively measured physical activity [total volume, light intensity and moderate intensity physical activity (MVPA)] and self-reported walking for transportation (any, frequency, duration) with walkability. We adjusted analyses for person- and environment-level factors associated with older adult physical activity. RESULTS: Neighbourhood walkability was not associated with physical activity volume or intensity and self-reported walking for transportation, with one exception. Each 10-point increase in Street Smart Walk Score was associated with a 45% greater odds of any walking for transportation (compared with none; OR = 1.45, 95% confidence interval = 1.18, 1.78). Sociodemographic, physical function and attitudinal factors were significant predictors of physical activity across our models. CONCLUSIONS: The lack of associations between most of the explored outcomes may be due to the complexity of the relation between the person and environment. Given that this is the first study to explore these associations specifically in older adults living on low income, this study should be replicated in other settings. BioMed Central 2017-04-10 /pmc/articles/PMC5385598/ /pubmed/28395672 http://dx.doi.org/10.1186/s12877-017-0469-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Chudyk, Anna M.
McKay, Heather A.
Winters, Meghan
Sims-Gould, Joanie
Ashe, Maureen C.
Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income
title Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income
title_full Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income
title_fullStr Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income
title_full_unstemmed Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income
title_short Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income
title_sort neighborhood walkability, physical activity, and walking for transportation: a cross-sectional study of older adults living on low income
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5385598/
https://www.ncbi.nlm.nih.gov/pubmed/28395672
http://dx.doi.org/10.1186/s12877-017-0469-5
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