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Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice
BACKGROUND: Cross-sectional studies provide useful insight about the associations between the built environment and physical activity (PA), particularly when reasons for neighborhood choice are considered. Our study analyzed the relationship between levels of weekly transportation and leisure PA amo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai University of Sport
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834992/ https://www.ncbi.nlm.nih.gov/pubmed/31720064 http://dx.doi.org/10.1016/j.jshs.2019.05.004 |
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author | McCormack, Gavin R. Koohsari, Mohammad Javad Oka, Koichiro Friedenreich, Christine M. Blackstaffe, Anita Alaniz, Francisco Uribe Farkas, Brenlea |
author_facet | McCormack, Gavin R. Koohsari, Mohammad Javad Oka, Koichiro Friedenreich, Christine M. Blackstaffe, Anita Alaniz, Francisco Uribe Farkas, Brenlea |
author_sort | McCormack, Gavin R. |
collection | PubMed |
description | BACKGROUND: Cross-sectional studies provide useful insight about the associations between the built environment and physical activity (PA), particularly when reasons for neighborhood choice are considered. Our study analyzed the relationship between levels of weekly transportation and leisure PA among 3 neighborhood designs, statistically adjusting for sociodemographic characteristics and reasons for neighborhood choice. METHODS: A stratified random sample of adults (age ≥20 years) living in Calgary (Canada) neighborhoods with different neighborhood designs (grid, warped-grid, and curvilinear) and socioeconomic status completed a self-administered questionnaire capturing PA, sociodemographic characteristics, and reasons for neighborhood choice (response rate = 10.1%; n = 1023). Generalized linear models estimated associations between neighborhood design and transportation and leisure PA outcomes (participation (any vs. none) and volume (metabolic equivalent: h/week)), adjusting for neighborhood socioeconomic status, sociodemographic characteristics (gender, age, ethnicity, education, household income, marital status, children, vehicle access, dog ownership, and injury), and reasons for neighborhood choice (e.g., proximity and quality of recreational and utilitarian destinations, proximity to work, highway access, aesthetics, and sense of community). RESULTS: Overall, 854 participants had resided in their neighborhood for at least 12 months and provided complete data. Compared with those living in curvilinear neighborhoods, grid neighborhood participants had greater odds (p < 0.05) of participating in any transportation walking (odds ratio (OR) = 2.17), transportation and leisure cycling (OR = 2.39 and OR = 1.70), active transportation (OR = 2.16), and high-intensity leisure PA (≥6 metabolic equivalent; OR = 1.74), respectively. There were no neighborhood differences in the volume of any transportation or leisure PA undertaken. Adjustment for neighborhood selection had minimal impact on the statistical or practical importance of model estimates. CONCLUSION: Neighborhood design is associated with PA patterns in adults, independent of reasons for neighborhood choice and sociodemographic factors. |
format | Online Article Text |
id | pubmed-6834992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Shanghai University of Sport |
record_format | MEDLINE/PubMed |
spelling | pubmed-68349922019-11-12 Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice McCormack, Gavin R. Koohsari, Mohammad Javad Oka, Koichiro Friedenreich, Christine M. Blackstaffe, Anita Alaniz, Francisco Uribe Farkas, Brenlea J Sport Health Sci Regular Paper BACKGROUND: Cross-sectional studies provide useful insight about the associations between the built environment and physical activity (PA), particularly when reasons for neighborhood choice are considered. Our study analyzed the relationship between levels of weekly transportation and leisure PA among 3 neighborhood designs, statistically adjusting for sociodemographic characteristics and reasons for neighborhood choice. METHODS: A stratified random sample of adults (age ≥20 years) living in Calgary (Canada) neighborhoods with different neighborhood designs (grid, warped-grid, and curvilinear) and socioeconomic status completed a self-administered questionnaire capturing PA, sociodemographic characteristics, and reasons for neighborhood choice (response rate = 10.1%; n = 1023). Generalized linear models estimated associations between neighborhood design and transportation and leisure PA outcomes (participation (any vs. none) and volume (metabolic equivalent: h/week)), adjusting for neighborhood socioeconomic status, sociodemographic characteristics (gender, age, ethnicity, education, household income, marital status, children, vehicle access, dog ownership, and injury), and reasons for neighborhood choice (e.g., proximity and quality of recreational and utilitarian destinations, proximity to work, highway access, aesthetics, and sense of community). RESULTS: Overall, 854 participants had resided in their neighborhood for at least 12 months and provided complete data. Compared with those living in curvilinear neighborhoods, grid neighborhood participants had greater odds (p < 0.05) of participating in any transportation walking (odds ratio (OR) = 2.17), transportation and leisure cycling (OR = 2.39 and OR = 1.70), active transportation (OR = 2.16), and high-intensity leisure PA (≥6 metabolic equivalent; OR = 1.74), respectively. There were no neighborhood differences in the volume of any transportation or leisure PA undertaken. Adjustment for neighborhood selection had minimal impact on the statistical or practical importance of model estimates. CONCLUSION: Neighborhood design is associated with PA patterns in adults, independent of reasons for neighborhood choice and sociodemographic factors. Shanghai University of Sport 2019-11 2019-05-09 /pmc/articles/PMC6834992/ /pubmed/31720064 http://dx.doi.org/10.1016/j.jshs.2019.05.004 Text en © 2019 Published by Elsevier B.V. on behalf of Shanghai University of Sport. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Paper McCormack, Gavin R. Koohsari, Mohammad Javad Oka, Koichiro Friedenreich, Christine M. Blackstaffe, Anita Alaniz, Francisco Uribe Farkas, Brenlea Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice |
title | Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice |
title_full | Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice |
title_fullStr | Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice |
title_full_unstemmed | Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice |
title_short | Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice |
title_sort | differences in transportation and leisure physical activity by neighborhood design controlling for residential choice |
topic | Regular Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834992/ https://www.ncbi.nlm.nih.gov/pubmed/31720064 http://dx.doi.org/10.1016/j.jshs.2019.05.004 |
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