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Using combined Global Position System and accelerometer data points to examine how built environments and gentrification are associated with physical activity in four Canadian cities
Built and social environments are associated with physical activity. Global Positioning Systems (GPS) and accelerometer data can capture how people move through their environments and provide promising tools to better understand associations between environmental characteristics and physical activit...
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Published in: | The international journal of behavioral nutrition and physical activity 2022-07, Vol.19 (1), p.78-12, Article 78 |
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creator | Firth, Caislin L Kestens, Yan Winters, Meghan Stanley, Kevin Bell, Scott Thierry, Benoit Phillips, Kole Poirier-Stephens, Zoé Fuller, Daniel |
description | Built and social environments are associated with physical activity. Global Positioning Systems (GPS) and accelerometer data can capture how people move through their environments and provide promising tools to better understand associations between environmental characteristics and physical activity. The purpose of this study is to examine the associations between GPS-derived exposure to built environment and gentrification characteristics and accelerometer-measured physical activity in a sample of adults across four cities.
We used wave 1 data from the Interventions, Research, and Action in Cities Team, a cohort of adults living in the Canadian cities of Victoria, Vancouver, Saskatoon, and Montreal. A subsample of participants wore a SenseDoc device for 10 days during May 2017-January 2019 to record GPS and accelerometry data. Two physical activity outcomes were derived from SenseDoc data: time spent in light, moderate, and vigorous physical activity; and time spent in moderate or vigorous physical activity. Using corresponding GPS coordinates, we summarized physical activity outcomes by dissemination area-a Canadian census geography that represents areas where 400 to 700 people live- and joined to built (active living space, proximity to amenities, and urban compactness) and gentrification measures. We examined the associations between environmental measures and physical activity outcomes using multi-level negative binomial regression models that were stratified by city and adjusted for covariates (weekday/weekend), home dissemination area, precipitation, temperature) and participant-level characteristics obtained from a survey (age, gender, income, race).
We found that adults spent more time being physically active near their homes, and in environments that were more walkable and near parks and less time in urban compact areas, regardless of where participants lived. Our analysis also highlighted how proximity to different amenities was linked to physical activity across different cities.
Our study provides insights into how built environment and gentrification characteristics are associated with the amount of time adults spend being physically active in four Canadian cities. These findings enhance our understanding of the influence that environments have on physical activity over time and space, and can support policies to increase physical activity. |
doi_str_mv | 10.1186/s12966-022-01306-z |
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We used wave 1 data from the Interventions, Research, and Action in Cities Team, a cohort of adults living in the Canadian cities of Victoria, Vancouver, Saskatoon, and Montreal. A subsample of participants wore a SenseDoc device for 10 days during May 2017-January 2019 to record GPS and accelerometry data. Two physical activity outcomes were derived from SenseDoc data: time spent in light, moderate, and vigorous physical activity; and time spent in moderate or vigorous physical activity. Using corresponding GPS coordinates, we summarized physical activity outcomes by dissemination area-a Canadian census geography that represents areas where 400 to 700 people live- and joined to built (active living space, proximity to amenities, and urban compactness) and gentrification measures. We examined the associations between environmental measures and physical activity outcomes using multi-level negative binomial regression models that were stratified by city and adjusted for covariates (weekday/weekend), home dissemination area, precipitation, temperature) and participant-level characteristics obtained from a survey (age, gender, income, race).
We found that adults spent more time being physically active near their homes, and in environments that were more walkable and near parks and less time in urban compact areas, regardless of where participants lived. Our analysis also highlighted how proximity to different amenities was linked to physical activity across different cities.
Our study provides insights into how built environment and gentrification characteristics are associated with the amount of time adults spend being physically active in four Canadian cities. These findings enhance our understanding of the influence that environments have on physical activity over time and space, and can support policies to increase physical activity.</description><identifier>ISSN: 1479-5868</identifier><identifier>EISSN: 1479-5868</identifier><identifier>DOI: 10.1186/s12966-022-01306-z</identifier><identifier>PMID: 35799198</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Accelerometers ; Accelerometry ; Adult ; Analysis ; Built Environment ; Canada ; Cities ; Environment Design ; Exercise ; Gentrification ; Geographic Information Systems ; Geospatial data ; Global Positioning System ; Global positioning systems ; GPS ; Health aspects ; Humans ; Physical activity ; Public transportation ; Residence Characteristics ; Sociodemographics ; Systematic review ; Urban sprawl ; Walkability ; Walking</subject><ispartof>The international journal of behavioral nutrition and physical activity, 2022-07, Vol.19 (1), p.78-12, Article 78</ispartof><rights>2022. The Author(s).</rights><rights>COPYRIGHT 2022 BioMed Central Ltd.</rights><rights>2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c597t-46af3793bdc85ba213c0eed8e20d6b52aaababb0cdf1e3b753efb32a29a907d23</citedby><cites>FETCH-LOGICAL-c597t-46af3793bdc85ba213c0eed8e20d6b52aaababb0cdf1e3b753efb32a29a907d23</cites><orcidid>0000-0002-2015-2955</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261044/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2691359830?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35799198$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Firth, Caislin L</creatorcontrib><creatorcontrib>Kestens, Yan</creatorcontrib><creatorcontrib>Winters, Meghan</creatorcontrib><creatorcontrib>Stanley, Kevin</creatorcontrib><creatorcontrib>Bell, Scott</creatorcontrib><creatorcontrib>Thierry, Benoit</creatorcontrib><creatorcontrib>Phillips, Kole</creatorcontrib><creatorcontrib>Poirier-Stephens, Zoé</creatorcontrib><creatorcontrib>Fuller, Daniel</creatorcontrib><title>Using combined Global Position System and accelerometer data points to examine how built environments and gentrification are associated with physical activity in four Canadian cities</title><title>The international journal of behavioral nutrition and physical activity</title><addtitle>Int J Behav Nutr Phys Act</addtitle><description>Built and social environments are associated with physical activity. Global Positioning Systems (GPS) and accelerometer data can capture how people move through their environments and provide promising tools to better understand associations between environmental characteristics and physical activity. The purpose of this study is to examine the associations between GPS-derived exposure to built environment and gentrification characteristics and accelerometer-measured physical activity in a sample of adults across four cities.
We used wave 1 data from the Interventions, Research, and Action in Cities Team, a cohort of adults living in the Canadian cities of Victoria, Vancouver, Saskatoon, and Montreal. A subsample of participants wore a SenseDoc device for 10 days during May 2017-January 2019 to record GPS and accelerometry data. Two physical activity outcomes were derived from SenseDoc data: time spent in light, moderate, and vigorous physical activity; and time spent in moderate or vigorous physical activity. Using corresponding GPS coordinates, we summarized physical activity outcomes by dissemination area-a Canadian census geography that represents areas where 400 to 700 people live- and joined to built (active living space, proximity to amenities, and urban compactness) and gentrification measures. We examined the associations between environmental measures and physical activity outcomes using multi-level negative binomial regression models that were stratified by city and adjusted for covariates (weekday/weekend), home dissemination area, precipitation, temperature) and participant-level characteristics obtained from a survey (age, gender, income, race).
We found that adults spent more time being physically active near their homes, and in environments that were more walkable and near parks and less time in urban compact areas, regardless of where participants lived. Our analysis also highlighted how proximity to different amenities was linked to physical activity across different cities.
Our study provides insights into how built environment and gentrification characteristics are associated with the amount of time adults spend being physically active in four Canadian cities. These findings enhance our understanding of the influence that environments have on physical activity over time and space, and can support policies to increase physical activity.</description><subject>Accelerometers</subject><subject>Accelerometry</subject><subject>Adult</subject><subject>Analysis</subject><subject>Built Environment</subject><subject>Canada</subject><subject>Cities</subject><subject>Environment Design</subject><subject>Exercise</subject><subject>Gentrification</subject><subject>Geographic Information Systems</subject><subject>Geospatial data</subject><subject>Global Positioning System</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Physical activity</subject><subject>Public transportation</subject><subject>Residence Characteristics</subject><subject>Sociodemographics</subject><subject>Systematic review</subject><subject>Urban 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associated with physical activity in four Canadian cities</atitle><jtitle>The international journal of behavioral nutrition and physical activity</jtitle><addtitle>Int J Behav Nutr Phys Act</addtitle><date>2022-07-07</date><risdate>2022</risdate><volume>19</volume><issue>1</issue><spage>78</spage><epage>12</epage><pages>78-12</pages><artnum>78</artnum><issn>1479-5868</issn><eissn>1479-5868</eissn><abstract>Built and social environments are associated with physical activity. Global Positioning Systems (GPS) and accelerometer data can capture how people move through their environments and provide promising tools to better understand associations between environmental characteristics and physical activity. The purpose of this study is to examine the associations between GPS-derived exposure to built environment and gentrification characteristics and accelerometer-measured physical activity in a sample of adults across four cities.
We used wave 1 data from the Interventions, Research, and Action in Cities Team, a cohort of adults living in the Canadian cities of Victoria, Vancouver, Saskatoon, and Montreal. A subsample of participants wore a SenseDoc device for 10 days during May 2017-January 2019 to record GPS and accelerometry data. Two physical activity outcomes were derived from SenseDoc data: time spent in light, moderate, and vigorous physical activity; and time spent in moderate or vigorous physical activity. Using corresponding GPS coordinates, we summarized physical activity outcomes by dissemination area-a Canadian census geography that represents areas where 400 to 700 people live- and joined to built (active living space, proximity to amenities, and urban compactness) and gentrification measures. We examined the associations between environmental measures and physical activity outcomes using multi-level negative binomial regression models that were stratified by city and adjusted for covariates (weekday/weekend), home dissemination area, precipitation, temperature) and participant-level characteristics obtained from a survey (age, gender, income, race).
We found that adults spent more time being physically active near their homes, and in environments that were more walkable and near parks and less time in urban compact areas, regardless of where participants lived. Our analysis also highlighted how proximity to different amenities was linked to physical activity across different cities.
Our study provides insights into how built environment and gentrification characteristics are associated with the amount of time adults spend being physically active in four Canadian cities. These findings enhance our understanding of the influence that environments have on physical activity over time and space, and can support policies to increase physical activity.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>35799198</pmid><doi>10.1186/s12966-022-01306-z</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-2015-2955</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accelerometers Accelerometry Adult Analysis Built Environment Canada Cities Environment Design Exercise Gentrification Geographic Information Systems Geospatial data Global Positioning System Global positioning systems GPS Health aspects Humans Physical activity Public transportation Residence Characteristics Sociodemographics Systematic review Urban sprawl Walkability Walking |
title | Using combined Global Position System and accelerometer data points to examine how built environments and gentrification are associated with physical activity in four Canadian cities |
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