Bicycling Policy Indirectly Associated with Overweight/Obesity
Background Policies to enhance bicycling are correlated with health outcomes. Research has yet to provide an adequate, empirically derived explanation for this finding. Purpose To examine a comprehensive model of a pathway potentially linking bicycle policies to overweight/obesity. Methods Data repr...
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| Veröffentlicht in: | American journal of preventive medicine 2014-12, Vol.47 (6), p.715-721 |
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| container_title | American journal of preventive medicine |
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| creator | Suminski, Richard R., MPH, PhD Wasserman, Jason A., PhD Mayfield, Carlene A., MPH Freeman, Emily, BS Brandl, Rachel, BS |
| description | Background Policies to enhance bicycling are correlated with health outcomes. Research has yet to provide an adequate, empirically derived explanation for this finding. Purpose To examine a comprehensive model of a pathway potentially linking bicycle policies to overweight/obesity. Methods Data representing multiple years between 2006 and 2012 from CDC, U.S. Census Bureau, U.S. Department of Transportation, and the Alliance for Biking and Walking were subjected to bivariate and multivariate analyses in 2013. A path model was created to explain the relationship between bicycle policies and overweight/obesity in the 48 largest U.S. cities. Results Zero-order correlations were significant between the number of bicycle policies and the percentage of workers bicycling to work and rates of overweight/obesity. These relationships did not remain statistically significant in the multivariate analysis. However, more bicycle policies were associated with a greater number of bicycle infrastructure components ( p |
| doi_str_mv | 10.1016/j.amepre.2014.07.048 |
| format | Article |
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Research has yet to provide an adequate, empirically derived explanation for this finding. Purpose To examine a comprehensive model of a pathway potentially linking bicycle policies to overweight/obesity. Methods Data representing multiple years between 2006 and 2012 from CDC, U.S. Census Bureau, U.S. Department of Transportation, and the Alliance for Biking and Walking were subjected to bivariate and multivariate analyses in 2013. A path model was created to explain the relationship between bicycle policies and overweight/obesity in the 48 largest U.S. cities. Results Zero-order correlations were significant between the number of bicycle policies and the percentage of workers bicycling to work and rates of overweight/obesity. These relationships did not remain statistically significant in the multivariate analysis. However, more bicycle policies were associated with a greater number of bicycle infrastructure components ( p <0.005). In turn, bicycling infrastructure components were positively related to the percentage of workers bicycling to work ( p <0.001), which was inversely associated with overweight/obesity rates ( p <0.05). Conclusions The results of this study suggest that large cities with more policies aimed at promoting bicycling have fewer overweight/obese residents, partially because the policies are related to supportive bicycling infrastructures that promote bicycling to work.</description><identifier>ISSN: 0749-3797</identifier><identifier>EISSN: 1873-2607</identifier><identifier>DOI: 10.1016/j.amepre.2014.07.048</identifier><identifier>PMID: 25241195</identifier><identifier>CODEN: AJPMEA</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Adult ; Alliances ; Bicycling - psychology ; Bicycling - statistics & numerical data ; Biological and medical sciences ; Census ; City Planning - methods ; City Planning - standards ; Cross-Sectional Studies ; Female ; Health Promotion - methods ; Health Promotion - organization & administration ; Humans ; Infrastructure ; Internal Medicine ; Male ; Medical sciences ; Metabolic diseases ; Miscellaneous ; Obesity ; Obesity - epidemiology ; Obesity - prevention & control ; Obesity - psychology ; Prevention and actions ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Public Policy ; Transportation ; Transportation - methods ; Transportation - statistics & numerical data ; United States - epidemiology ; Walking</subject><ispartof>American journal of preventive medicine, 2014-12, Vol.47 (6), p.715-721</ispartof><rights>American Journal of Preventive Medicine</rights><rights>2014 American Journal of Preventive Medicine</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c513t-2453c0e917a14fc751d679e259c2d6a5d3d623336439148793999876a884147b3</citedby><cites>FETCH-LOGICAL-c513t-2453c0e917a14fc751d679e259c2d6a5d3d623336439148793999876a884147b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.amepre.2014.07.048$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27865,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=29013893$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25241195$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Suminski, Richard R., MPH, PhD</creatorcontrib><creatorcontrib>Wasserman, Jason A., PhD</creatorcontrib><creatorcontrib>Mayfield, Carlene A., MPH</creatorcontrib><creatorcontrib>Freeman, Emily, BS</creatorcontrib><creatorcontrib>Brandl, Rachel, BS</creatorcontrib><title>Bicycling Policy Indirectly Associated with Overweight/Obesity</title><title>American journal of preventive medicine</title><addtitle>Am J Prev Med</addtitle><description>Background Policies to enhance bicycling are correlated with health outcomes. Research has yet to provide an adequate, empirically derived explanation for this finding. Purpose To examine a comprehensive model of a pathway potentially linking bicycle policies to overweight/obesity. Methods Data representing multiple years between 2006 and 2012 from CDC, U.S. Census Bureau, U.S. Department of Transportation, and the Alliance for Biking and Walking were subjected to bivariate and multivariate analyses in 2013. A path model was created to explain the relationship between bicycle policies and overweight/obesity in the 48 largest U.S. cities. Results Zero-order correlations were significant between the number of bicycle policies and the percentage of workers bicycling to work and rates of overweight/obesity. These relationships did not remain statistically significant in the multivariate analysis. However, more bicycle policies were associated with a greater number of bicycle infrastructure components ( p <0.005). In turn, bicycling infrastructure components were positively related to the percentage of workers bicycling to work ( p <0.001), which was inversely associated with overweight/obesity rates ( p <0.05). Conclusions The results of this study suggest that large cities with more policies aimed at promoting bicycling have fewer overweight/obese residents, partially because the policies are related to supportive bicycling infrastructures that promote bicycling to work.</description><subject>Adult</subject><subject>Alliances</subject><subject>Bicycling - psychology</subject><subject>Bicycling - statistics & numerical data</subject><subject>Biological and medical sciences</subject><subject>Census</subject><subject>City Planning - methods</subject><subject>City Planning - standards</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Health Promotion - methods</subject><subject>Health Promotion - organization & administration</subject><subject>Humans</subject><subject>Infrastructure</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Metabolic diseases</subject><subject>Miscellaneous</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Obesity - prevention & control</subject><subject>Obesity - psychology</subject><subject>Prevention and actions</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Public Policy</subject><subject>Transportation</subject><subject>Transportation - methods</subject><subject>Transportation - statistics & numerical data</subject><subject>United States - epidemiology</subject><subject>Walking</subject><issn>0749-3797</issn><issn>1873-2607</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><recordid>eNqFkktv1DAQgC0EokvhHyC0FyQuST2247EvldqKR6VKiwScLa8z23rJJoudbZV_T6IsIHHZ08zhm4fmG8beAi-Bg77Yln5H-0Sl4KBKjiVX5hlbgEFZCM3xOVtwVLaQaPGMvcp5yzlHA_YlOxOVUAC2WrDL6xiG0MT2fvm1a8Z8edvWMVHom2F5lXMXou-pXj7F_mG5eqT0RPH-ob9YrSnHfnjNXmx8k-nNMZ6zH58-fr_5UtytPt_eXN0VoQLZF0JVMnCygB7UJmAFtUZLorJB1NpXtay1kFJqJS0og1Zaaw1qb4wChWt5zj7Mffep-3Wg3LtdzIGaxrfUHbIDY1GirAycRlGD1iAFnka1sBaN0tWIqhkNqcs50cbtU9z5NDjgbvLhtm724SYfjqMbfYxl744TDusd1X-L_ggYgfdHwOfgm03ybYj5H2c5SGPlyF3OHI1XfoyUXA6R2kCzLFd38dQm_zeYrMdx5k8aKG-7Q2pHgw5cFo67b9PvTK8DinMlJMjfh3e8Hg</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Suminski, Richard R., MPH, PhD</creator><creator>Wasserman, Jason A., PhD</creator><creator>Mayfield, Carlene A., MPH</creator><creator>Freeman, Emily, BS</creator><creator>Brandl, Rachel, BS</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7TQ</scope><scope>DHY</scope><scope>DON</scope><scope>7TS</scope></search><sort><creationdate>20141201</creationdate><title>Bicycling Policy Indirectly Associated with Overweight/Obesity</title><author>Suminski, Richard R., MPH, PhD ; Wasserman, Jason A., PhD ; Mayfield, Carlene A., MPH ; Freeman, Emily, BS ; Brandl, Rachel, BS</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c513t-2453c0e917a14fc751d679e259c2d6a5d3d623336439148793999876a884147b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Alliances</topic><topic>Bicycling - psychology</topic><topic>Bicycling - statistics & numerical data</topic><topic>Biological and medical sciences</topic><topic>Census</topic><topic>City Planning - methods</topic><topic>City Planning - standards</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Health Promotion - methods</topic><topic>Health Promotion - organization & administration</topic><topic>Humans</topic><topic>Infrastructure</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Metabolic diseases</topic><topic>Miscellaneous</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Obesity - prevention & control</topic><topic>Obesity - psychology</topic><topic>Prevention and actions</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Public Policy</topic><topic>Transportation</topic><topic>Transportation - methods</topic><topic>Transportation - statistics & numerical data</topic><topic>United States - epidemiology</topic><topic>Walking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suminski, Richard R., MPH, PhD</creatorcontrib><creatorcontrib>Wasserman, Jason A., PhD</creatorcontrib><creatorcontrib>Mayfield, Carlene A., MPH</creatorcontrib><creatorcontrib>Freeman, Emily, BS</creatorcontrib><creatorcontrib>Brandl, Rachel, BS</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PAIS Index</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Physical Education Index</collection><jtitle>American journal of preventive medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Suminski, Richard R., MPH, PhD</au><au>Wasserman, Jason A., PhD</au><au>Mayfield, Carlene A., MPH</au><au>Freeman, Emily, BS</au><au>Brandl, Rachel, BS</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bicycling Policy Indirectly Associated with Overweight/Obesity</atitle><jtitle>American journal of preventive medicine</jtitle><addtitle>Am J Prev Med</addtitle><date>2014-12-01</date><risdate>2014</risdate><volume>47</volume><issue>6</issue><spage>715</spage><epage>721</epage><pages>715-721</pages><issn>0749-3797</issn><eissn>1873-2607</eissn><coden>AJPMEA</coden><abstract>Background Policies to enhance bicycling are correlated with health outcomes. Research has yet to provide an adequate, empirically derived explanation for this finding. Purpose To examine a comprehensive model of a pathway potentially linking bicycle policies to overweight/obesity. Methods Data representing multiple years between 2006 and 2012 from CDC, U.S. Census Bureau, U.S. Department of Transportation, and the Alliance for Biking and Walking were subjected to bivariate and multivariate analyses in 2013. A path model was created to explain the relationship between bicycle policies and overweight/obesity in the 48 largest U.S. cities. Results Zero-order correlations were significant between the number of bicycle policies and the percentage of workers bicycling to work and rates of overweight/obesity. These relationships did not remain statistically significant in the multivariate analysis. However, more bicycle policies were associated with a greater number of bicycle infrastructure components ( p <0.005). In turn, bicycling infrastructure components were positively related to the percentage of workers bicycling to work ( p <0.001), which was inversely associated with overweight/obesity rates ( p <0.05). Conclusions The results of this study suggest that large cities with more policies aimed at promoting bicycling have fewer overweight/obese residents, partially because the policies are related to supportive bicycling infrastructures that promote bicycling to work.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>25241195</pmid><doi>10.1016/j.amepre.2014.07.048</doi><tpages>7</tpages></addata></record> |
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| subjects | Adult Alliances Bicycling - psychology Bicycling - statistics & numerical data Biological and medical sciences Census City Planning - methods City Planning - standards Cross-Sectional Studies Female Health Promotion - methods Health Promotion - organization & administration Humans Infrastructure Internal Medicine Male Medical sciences Metabolic diseases Miscellaneous Obesity Obesity - epidemiology Obesity - prevention & control Obesity - psychology Prevention and actions Public health. Hygiene Public health. Hygiene-occupational medicine Public Policy Transportation Transportation - methods Transportation - statistics & numerical data United States - epidemiology Walking |
| title | Bicycling Policy Indirectly Associated with Overweight/Obesity |
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