Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice  

作　　者：Gavin R.McCormack Mohammad Javad Koohsari Koichiro Oka Christine M.Friedenreich Anita Blackstaffe Francisco Uribe Alaniz Brenlea Farkas 

机构地区：[1]Cumming School of Medicine,University of Calgary,Alberta,T2N 4Z6,Canada [2]School of Architecture,Planning and Landscape,University of Calgary,Alberta,T2N4N1,Canada [3]Faculty of Sport Sciences,Waseda University,Tokyo,169-8050,Japan [4]Behavioural Epidemiology Laboratory,Baker Heart and Diabetes Institute,Melbourne,VIC,3004,Australia [5]Mary MacKillop Institute for Health Research,Australian Catholic University,Melbourne,VIC,3000,Australia [6]Department of Cancer Epidemiology and Prevention Research,CancerControl Alberta,Alberta Health Services,Calgary,Alberta,T2S 3C3,Canada

出　　处：《Journal of Sport and Health Science》2019年第6期532-539,共8页运动与健康科学（英文）

基　　金：the Pathways to Health project funded by the Canadian Institutes of Health Research (CIHR;MOP126133);by a CIHR Foundations Scheme Grant (FDN-154331);supported by a CIHR New Investigator Award (MSH-130162);supported by a JSPS Postdoctoral Fellowship for Research in Japan (#17716) from the Japan Society for the Promotion of Science;supported by the MEXTSupported Program for the Strategic Research Foundation at Private Universities (2015-2019);the Japan Ministry of Education,Culture,Sports,Science and Technology (S1511017)

摘　　要：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 wiBackground: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 associa

关 键 词：Active TRANSPORTATION Built environment SELF-SELECTION Urban design WALKABILITY 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]