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Combined measure of neighborhood food and physical activity environments and weight-related outcomes: The CARDIA study
Engagement in healthy lifestyle behaviors likely reflects access to a diverse and synergistic set of food and physical activity resources, yet most research examines discrete characteristics. We characterized neighborhoods with respect to their composition of features, and quantified associations wi...
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| Published in: | Health & place 2015-05, Vol.33, p.9-18 |
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| Main Authors: | , , , , , , |
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| container_end_page | 18 |
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| container_title | Health & place |
| container_volume | 33 |
| creator | Meyer, Katie A. Boone-Heinonen, Janne Duffey, Kiyah J. Rodriguez, Daniel A. Kiefe, Catarina I. Lewis, Cora E. Gordon-Larsen, Penny |
| description | Engagement in healthy lifestyle behaviors likely reflects access to a diverse and synergistic set of food and physical activity resources, yet most research examines discrete characteristics. We characterized neighborhoods with respect to their composition of features, and quantified associations with diet, physical activity (PA), body mass index (BMI), and insulin resistance (IR) in a longitudinal biracial cohort (n=4143; aged 25–37; 1992–2006). We used latent class analysis to derive population-density-specific ( |
| doi_str_mv | 10.1016/j.healthplace.2015.01.004 |
| format | article |
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•Individuals are exposed to complex neighborhood environments.•Most studies of weight-related outcomes focus on distinct resources.•We derived clusters of neighborhood resources related to diet and physical activity.•Clusters were associated with diet quality, but not physical activity or BMI.•Neighborhood resource composition may influence dietary behaviors.</description><identifier>ISSN: 1353-8292</identifier><identifier>EISSN: 1873-2054</identifier><identifier>DOI: 10.1016/j.healthplace.2015.01.004</identifier><identifier>PMID: 25723792</identifier><identifier>CODEN: HEPLFG</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adult ; Biraciality ; Body Mass Index ; Body Weight ; Consumption ; Diet ; Environment ; Exercise ; Female ; Food Supply ; Health Behavior ; Health care ; Humans ; Insulin Resistance ; Latent Structure Analysis ; Lifestyle ; Longitudinal Studies ; Male ; Neighborhood ; Neighborhoods ; Neighbourhoods ; Obesity ; Obesity - epidemiology ; Physical activity ; Physical Fitness ; Population Density ; Residence Characteristics ; United States - epidemiology</subject><ispartof>Health & place, 2015-05, Vol.33, p.9-18</ispartof><rights>2015 Elsevier Ltd</rights><rights>Copyright © 2015 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c549t-549fc29545264a5d2b62d9fdc9b29f8ce0c7eb0505ce8492146b0089a35c492f3</citedby><cites>FETCH-LOGICAL-c549t-549fc29545264a5d2b62d9fdc9b29f8ce0c7eb0505ce8492146b0089a35c492f3</cites><orcidid>0000-0002-0368-0545</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902,33201,33752</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25723792$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Meyer, Katie A.</creatorcontrib><creatorcontrib>Boone-Heinonen, Janne</creatorcontrib><creatorcontrib>Duffey, Kiyah J.</creatorcontrib><creatorcontrib>Rodriguez, Daniel A.</creatorcontrib><creatorcontrib>Kiefe, Catarina I.</creatorcontrib><creatorcontrib>Lewis, Cora E.</creatorcontrib><creatorcontrib>Gordon-Larsen, Penny</creatorcontrib><title>Combined measure of neighborhood food and physical activity environments and weight-related outcomes: The CARDIA study</title><title>Health & place</title><addtitle>Health Place</addtitle><description>Engagement in healthy lifestyle behaviors likely reflects access to a diverse and synergistic set of food and physical activity resources, yet most research examines discrete characteristics. We characterized neighborhoods with respect to their composition of features, and quantified associations with diet, physical activity (PA), body mass index (BMI), and insulin resistance (IR) in a longitudinal biracial cohort (n=4143; aged 25–37; 1992–2006). We used latent class analysis to derive population-density-specific (<vs.≥1750 people per sq km) clusters of neighborhood indicators: road connectivity, parks and PA facilities, and food stores/restaurants. In lower population density areas, a latent class with higher food and PA resource diversity (relative to other clusters) was significantly associated with higher diet quality. In higher population density areas, a cluster with relatively more natural food/specialty stores; fewer convenience stores; and more PA resources was associated with higher diet quality. Neighborhood clusters were inconsistently associated with BMI and IR, and not associated with fast food consumption, walking, biking, or running.
•Individuals are exposed to complex neighborhood environments.•Most studies of weight-related outcomes focus on distinct resources.•We derived clusters of neighborhood resources related to diet and physical activity.•Clusters were associated with diet quality, but not physical activity or BMI.•Neighborhood resource composition may influence dietary behaviors.</description><subject>Adult</subject><subject>Biraciality</subject><subject>Body Mass Index</subject><subject>Body Weight</subject><subject>Consumption</subject><subject>Diet</subject><subject>Environment</subject><subject>Exercise</subject><subject>Female</subject><subject>Food Supply</subject><subject>Health Behavior</subject><subject>Health care</subject><subject>Humans</subject><subject>Insulin Resistance</subject><subject>Latent Structure Analysis</subject><subject>Lifestyle</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Neighborhood</subject><subject>Neighborhoods</subject><subject>Neighbourhoods</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Physical activity</subject><subject>Physical Fitness</subject><subject>Population Density</subject><subject>Residence Characteristics</subject><subject>United States - epidemiology</subject><issn>1353-8292</issn><issn>1873-2054</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNqNkk1v3CAQhq2qVfPR_oWK3nqxAxhs00Olldt8SJEqVekZYRjHrGyzBexq_33ZbBqlp-YygHjmZYZ5s-wjwQXBpLrYFgOoMQ67UWkoKCa8wKTAmL3KTklTlznFnL1O-5KXeUMFPcnOQthijKuGkbfZCeU1LWtBT7O1dVNnZzBoAhUWD8j1aAZ7P3TOD84Z1B-Cmg3aDftgtRqR0tGuNu4RzKv1bp5gjuEB-X1IjLmHUcUk6Zao3QThM7obALWbH19vNijExezfZW96NQZ4_7ieZz8vv9211_nt96ubdnOba85EzFPoNRWccVoxxQ3tKmpEb7ToqOgbDVjX0GGOuYaGCUpY1WHcCFVynY59eZ59Oerulm4Co1OlXo1y5-2k_F46ZeW_N7Md5L1bJWNYcIKTwKdHAe9-LRCinGzQMI5qBrcESWpOheBl-un_opXgQrCqKl-A1rypUyd1QsUR1d6F4KF_Kp5geXCD3MpnbpAHN0hMZHJDyv3wvPunzL_jT0B7BCDNYLXgZdAWZg3GetBRGmdf8MwfbFjNxQ</recordid><startdate>20150501</startdate><enddate>20150501</enddate><creator>Meyer, Katie A.</creator><creator>Boone-Heinonen, Janne</creator><creator>Duffey, Kiyah J.</creator><creator>Rodriguez, Daniel A.</creator><creator>Kiefe, Catarina I.</creator><creator>Lewis, Cora E.</creator><creator>Gordon-Larsen, Penny</creator><general>Elsevier Ltd</general><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>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>7U4</scope><scope>BHHNA</scope><scope>DWI</scope><scope>WZK</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0368-0545</orcidid></search><sort><creationdate>20150501</creationdate><title>Combined measure of neighborhood food and physical activity environments and weight-related outcomes: The CARDIA study</title><author>Meyer, Katie A. ; Boone-Heinonen, Janne ; Duffey, Kiyah J. ; Rodriguez, Daniel A. ; Kiefe, Catarina I. ; Lewis, Cora E. ; Gordon-Larsen, Penny</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c549t-549fc29545264a5d2b62d9fdc9b29f8ce0c7eb0505ce8492146b0089a35c492f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Biraciality</topic><topic>Body Mass Index</topic><topic>Body Weight</topic><topic>Consumption</topic><topic>Diet</topic><topic>Environment</topic><topic>Exercise</topic><topic>Female</topic><topic>Food Supply</topic><topic>Health Behavior</topic><topic>Health care</topic><topic>Humans</topic><topic>Insulin Resistance</topic><topic>Latent Structure Analysis</topic><topic>Lifestyle</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Neighborhood</topic><topic>Neighborhoods</topic><topic>Neighbourhoods</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Physical activity</topic><topic>Physical Fitness</topic><topic>Population Density</topic><topic>Residence Characteristics</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meyer, Katie A.</creatorcontrib><creatorcontrib>Boone-Heinonen, Janne</creatorcontrib><creatorcontrib>Duffey, Kiyah J.</creatorcontrib><creatorcontrib>Rodriguez, Daniel A.</creatorcontrib><creatorcontrib>Kiefe, Catarina I.</creatorcontrib><creatorcontrib>Lewis, Cora E.</creatorcontrib><creatorcontrib>Gordon-Larsen, Penny</creatorcontrib><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>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health & place</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meyer, Katie A.</au><au>Boone-Heinonen, Janne</au><au>Duffey, Kiyah J.</au><au>Rodriguez, Daniel A.</au><au>Kiefe, Catarina I.</au><au>Lewis, Cora E.</au><au>Gordon-Larsen, Penny</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Combined measure of neighborhood food and physical activity environments and weight-related outcomes: The CARDIA study</atitle><jtitle>Health & place</jtitle><addtitle>Health Place</addtitle><date>2015-05-01</date><risdate>2015</risdate><volume>33</volume><spage>9</spage><epage>18</epage><pages>9-18</pages><issn>1353-8292</issn><eissn>1873-2054</eissn><coden>HEPLFG</coden><abstract>Engagement in healthy lifestyle behaviors likely reflects access to a diverse and synergistic set of food and physical activity resources, yet most research examines discrete characteristics. We characterized neighborhoods with respect to their composition of features, and quantified associations with diet, physical activity (PA), body mass index (BMI), and insulin resistance (IR) in a longitudinal biracial cohort (n=4143; aged 25–37; 1992–2006). We used latent class analysis to derive population-density-specific (<vs.≥1750 people per sq km) clusters of neighborhood indicators: road connectivity, parks and PA facilities, and food stores/restaurants. In lower population density areas, a latent class with higher food and PA resource diversity (relative to other clusters) was significantly associated with higher diet quality. In higher population density areas, a cluster with relatively more natural food/specialty stores; fewer convenience stores; and more PA resources was associated with higher diet quality. Neighborhood clusters were inconsistently associated with BMI and IR, and not associated with fast food consumption, walking, biking, or running.
•Individuals are exposed to complex neighborhood environments.•Most studies of weight-related outcomes focus on distinct resources.•We derived clusters of neighborhood resources related to diet and physical activity.•Clusters were associated with diet quality, but not physical activity or BMI.•Neighborhood resource composition may influence dietary behaviors.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>25723792</pmid><doi>10.1016/j.healthplace.2015.01.004</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-0368-0545</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1353-8292 |
| ispartof | Health & place, 2015-05, Vol.33, p.9-18 |
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| source | International Bibliography of the Social Sciences (IBSS); ScienceDirect Freedom Collection; Sociological Abstracts |
| subjects | Adult Biraciality Body Mass Index Body Weight Consumption Diet Environment Exercise Female Food Supply Health Behavior Health care Humans Insulin Resistance Latent Structure Analysis Lifestyle Longitudinal Studies Male Neighborhood Neighborhoods Neighbourhoods Obesity Obesity - epidemiology Physical activity Physical Fitness Population Density Residence Characteristics United States - epidemiology |
| title | Combined measure of neighborhood food and physical activity environments and weight-related outcomes: The CARDIA study |
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