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Does Distance Decay Modelling of Supermarket Accessibility Predict Fruit and Vegetable Intake by Individuals in a Large Metropolitan Area?
Obesity, a risk factor for hypertension, diabetes, and other chronic diseases is influenced by geographic accessibility to supermarkets, which has been shown to affect nutritional behaviors. To determine how individual fruit and vegetable (FV) consumption was independently influenced by accessibilit...
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| Published in: | Journal of health care for the poor and underserved 2013-02, Vol.24 (1), p.172-185 |
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| Main Authors: | , , , , , , |
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| Language: | English |
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| container_end_page | 185 |
| container_issue | 1 |
| container_start_page | 172 |
| container_title | Journal of health care for the poor and underserved |
| container_volume | 24 |
| creator | Robinson, Paul L Dominguez, Fred Teklehaimanot, Senait Lee, Martin Brown, Arleen Goodchild, Michael Hood, Darryl B |
| description | Obesity, a risk factor for hypertension, diabetes, and other chronic diseases is influenced by geographic accessibility to supermarkets, which has been shown to affect nutritional behaviors.
To determine how individual fruit and vegetable (FV) consumption was independently influenced by accessibility to supermarkets, and to quantify that relationship.
A distance decay based model was specified for a random sample (n=7,514) of urban residents. Associations between FV consumption and accessibility to supermarkets were explored, controlling for factors known to influence eating behaviors.
There was as independent effect of accessibility to supermarkets, even after the inclusion of the significant controlling factors of age, gender, race/ethnicity, education, marital status, and knowledge of nutritional guidelines.
Our model of accessibility was an effective predictor of FV consumption in an urban population, setting the stage for inclusion of supply and demand parameters, and estimation of local factors that contribute to differential obesity rates. |
| doi_str_mv | 10.1353/hpu.2013.0049 |
| format | article |
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To determine how individual fruit and vegetable (FV) consumption was independently influenced by accessibility to supermarkets, and to quantify that relationship.
A distance decay based model was specified for a random sample (n=7,514) of urban residents. Associations between FV consumption and accessibility to supermarkets were explored, controlling for factors known to influence eating behaviors.
There was as independent effect of accessibility to supermarkets, even after the inclusion of the significant controlling factors of age, gender, race/ethnicity, education, marital status, and knowledge of nutritional guidelines.
Our model of accessibility was an effective predictor of FV consumption in an urban population, setting the stage for inclusion of supply and demand parameters, and estimation of local factors that contribute to differential obesity rates.</description><identifier>ISSN: 1049-2089</identifier><identifier>ISSN: 1548-6869</identifier><identifier>EISSN: 1548-6869</identifier><identifier>DOI: 10.1353/hpu.2013.0049</identifier><identifier>PMID: 23395954</identifier><identifier>CODEN: JHCUEK</identifier><language>eng</language><publisher>United States: Johns Hopkins University Press</publisher><subject>Accessibility ; Adolescent ; Adult ; African Americans ; Aged ; Behavior ; Calibration ; Chronic illnesses ; Consumption ; Decay ; Diet - statistics & numerical data ; Eating behavior ; Female ; Food ; Food Supply - statistics & numerical data ; Fruit ; Fruits ; Healthy food ; Humans ; Hypertension ; Inclusive education ; Male ; Metropolitan areas ; Middle Aged ; Models, Statistical ; Neighborhoods ; Obesity ; Obesity - epidemiology ; Reproducibility of Results ; Residence Characteristics - statistics & numerical data ; Risk factors ; Studies ; Supermarkets ; United States - epidemiology ; Urban Population - statistics & numerical data ; Urban populations ; Vegetables ; Young Adult</subject><ispartof>Journal of health care for the poor and underserved, 2013-02, Vol.24 (1), p.172-185</ispartof><rights>Copyright © Meharry Medical College.</rights><rights>Copyright Johns Hopkins University Press Feb 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c493t-1d36b8ca63e6d6009982e552c322c588d8844173b8f461cdc9c3b727c587bc593</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1373489270?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,776,780,881,12826,21374,21375,27903,27904,30978,30979,33590,33591,34509,34510,43712,44094</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23395954$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Hood, Darryl B.</contributor><creatorcontrib>Robinson, Paul L</creatorcontrib><creatorcontrib>Dominguez, Fred</creatorcontrib><creatorcontrib>Teklehaimanot, Senait</creatorcontrib><creatorcontrib>Lee, Martin</creatorcontrib><creatorcontrib>Brown, Arleen</creatorcontrib><creatorcontrib>Goodchild, Michael</creatorcontrib><creatorcontrib>Hood, Darryl B</creatorcontrib><title>Does Distance Decay Modelling of Supermarket Accessibility Predict Fruit and Vegetable Intake by Individuals in a Large Metropolitan Area?</title><title>Journal of health care for the poor and underserved</title><addtitle>J Health Care Poor Underserved</addtitle><description>Obesity, a risk factor for hypertension, diabetes, and other chronic diseases is influenced by geographic accessibility to supermarkets, which has been shown to affect nutritional behaviors.
To determine how individual fruit and vegetable (FV) consumption was independently influenced by accessibility to supermarkets, and to quantify that relationship.
A distance decay based model was specified for a random sample (n=7,514) of urban residents. Associations between FV consumption and accessibility to supermarkets were explored, controlling for factors known to influence eating behaviors.
There was as independent effect of accessibility to supermarkets, even after the inclusion of the significant controlling factors of age, gender, race/ethnicity, education, marital status, and knowledge of nutritional guidelines.
Our model of accessibility was an effective predictor of FV consumption in an urban population, setting the stage for inclusion of supply and demand parameters, and estimation of local factors that contribute to differential obesity rates.</description><subject>Accessibility</subject><subject>Adolescent</subject><subject>Adult</subject><subject>African Americans</subject><subject>Aged</subject><subject>Behavior</subject><subject>Calibration</subject><subject>Chronic illnesses</subject><subject>Consumption</subject><subject>Decay</subject><subject>Diet - statistics & numerical data</subject><subject>Eating behavior</subject><subject>Female</subject><subject>Food</subject><subject>Food Supply - statistics & numerical data</subject><subject>Fruit</subject><subject>Fruits</subject><subject>Healthy food</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Inclusive education</subject><subject>Male</subject><subject>Metropolitan areas</subject><subject>Middle Aged</subject><subject>Models, Statistical</subject><subject>Neighborhoods</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Reproducibility of Results</subject><subject>Residence Characteristics - statistics & numerical data</subject><subject>Risk factors</subject><subject>Studies</subject><subject>Supermarkets</subject><subject>United States - epidemiology</subject><subject>Urban Population - statistics & numerical data</subject><subject>Urban populations</subject><subject>Vegetables</subject><subject>Young Adult</subject><issn>1049-2089</issn><issn>1548-6869</issn><issn>1548-6869</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>ALSLI</sourceid><sourceid>HEHIP</sourceid><sourceid>M2S</sourceid><recordid>eNqFkk9v1DAQxSMEoqVw5IosceGSxfY4iX0BrboUKm0FUgFxsxxnduttNl5sp9J-hX7qOmpZ_lw4eeT56c280SuKl4zOGFTw9mo3zjhlMKNUqEfFMauELGtZq8e5zl8lp1IdFc9i3FBKAQQ8LY44gKpUJY6L24XHSBYuJjNYJAu0Zk8ufId974Y18StyOe4wbE24xkTm1mKMrnW9S3vyJWDnbCJnYXSJmKEj33GNybQ9kvMhmWsk7T5Xnbtx3Wj6SNxADFmasEZygSn4nc9CZiDzgOb98-LJKkP44uE9Kb6dffh6-qlcfv54fjpfllYoSCXroG6lNTVg3dWUKiU5VhW3wLmtpOykFII10MqVqJntrLLQNrzJvaa1lYKT4t297m5st9hZHFIwvd4Fl13utTdO_90Z3JVe-xsNTd1wxbPAmweB4H-OGJPeumjzxcyAfoyaCaGoqjmT_0e5VKJhFUxrvf4H3fgxDPkSmkEDQire0EyV95QNPsaAq8PejOopEDoHQk-B0FMgMv_qT7MH-lcCMiAOYzdo03aM-HuyUNkx1ZdTqqZQMWCUsvoH3AFwoMJR</recordid><startdate>20130201</startdate><enddate>20130201</enddate><creator>Robinson, Paul L</creator><creator>Dominguez, Fred</creator><creator>Teklehaimanot, Senait</creator><creator>Lee, Martin</creator><creator>Brown, Arleen</creator><creator>Goodchild, Michael</creator><creator>Hood, Darryl B</creator><general>Johns Hopkins University Press</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>0-V</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BSCPQ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>HEHIP</scope><scope>M0R</scope><scope>M0T</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>UXAQP</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20130201</creationdate><title>Does Distance Decay Modelling of Supermarket Accessibility Predict Fruit and Vegetable Intake by Individuals in a Large Metropolitan Area?</title><author>Robinson, Paul L ; Dominguez, Fred ; Teklehaimanot, Senait ; Lee, Martin ; Brown, Arleen ; Goodchild, Michael ; Hood, Darryl B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c493t-1d36b8ca63e6d6009982e552c322c588d8844173b8f461cdc9c3b727c587bc593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accessibility</topic><topic>Adolescent</topic><topic>Adult</topic><topic>African Americans</topic><topic>Aged</topic><topic>Behavior</topic><topic>Calibration</topic><topic>Chronic illnesses</topic><topic>Consumption</topic><topic>Decay</topic><topic>Diet - statistics & numerical data</topic><topic>Eating behavior</topic><topic>Female</topic><topic>Food</topic><topic>Food Supply - statistics & numerical data</topic><topic>Fruit</topic><topic>Fruits</topic><topic>Healthy food</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Inclusive education</topic><topic>Male</topic><topic>Metropolitan areas</topic><topic>Middle Aged</topic><topic>Models, Statistical</topic><topic>Neighborhoods</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Reproducibility of Results</topic><topic>Residence Characteristics - statistics & numerical data</topic><topic>Risk factors</topic><topic>Studies</topic><topic>Supermarkets</topic><topic>United States - epidemiology</topic><topic>Urban Population - statistics & numerical data</topic><topic>Urban populations</topic><topic>Vegetables</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Robinson, Paul L</creatorcontrib><creatorcontrib>Dominguez, Fred</creatorcontrib><creatorcontrib>Teklehaimanot, Senait</creatorcontrib><creatorcontrib>Lee, Martin</creatorcontrib><creatorcontrib>Brown, Arleen</creatorcontrib><creatorcontrib>Goodchild, Michael</creatorcontrib><creatorcontrib>Hood, Darryl B</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection【Remote access available】</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Public Health Database (ProQuest Medical & Health Databases)</collection><collection>Hospital Premium Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Black Studies Center</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Sociology Collection</collection><collection>Consumer Health Database</collection><collection>ProQuest Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>ProQuest research library</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>ProQuest Black Studies</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of health care for the poor and underserved</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Robinson, Paul L</au><au>Dominguez, Fred</au><au>Teklehaimanot, Senait</au><au>Lee, Martin</au><au>Brown, Arleen</au><au>Goodchild, Michael</au><au>Hood, Darryl B</au><au>Hood, Darryl B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Does Distance Decay Modelling of Supermarket Accessibility Predict Fruit and Vegetable Intake by Individuals in a Large Metropolitan Area?</atitle><jtitle>Journal of health care for the poor and underserved</jtitle><addtitle>J Health Care Poor Underserved</addtitle><date>2013-02-01</date><risdate>2013</risdate><volume>24</volume><issue>1</issue><spage>172</spage><epage>185</epage><pages>172-185</pages><issn>1049-2089</issn><issn>1548-6869</issn><eissn>1548-6869</eissn><coden>JHCUEK</coden><abstract>Obesity, a risk factor for hypertension, diabetes, and other chronic diseases is influenced by geographic accessibility to supermarkets, which has been shown to affect nutritional behaviors.
To determine how individual fruit and vegetable (FV) consumption was independently influenced by accessibility to supermarkets, and to quantify that relationship.
A distance decay based model was specified for a random sample (n=7,514) of urban residents. Associations between FV consumption and accessibility to supermarkets were explored, controlling for factors known to influence eating behaviors.
There was as independent effect of accessibility to supermarkets, even after the inclusion of the significant controlling factors of age, gender, race/ethnicity, education, marital status, and knowledge of nutritional guidelines.
Our model of accessibility was an effective predictor of FV consumption in an urban population, setting the stage for inclusion of supply and demand parameters, and estimation of local factors that contribute to differential obesity rates.</abstract><cop>United States</cop><pub>Johns Hopkins University Press</pub><pmid>23395954</pmid><doi>10.1353/hpu.2013.0049</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of health care for the poor and underserved, 2013-02, Vol.24 (1), p.172-185 |
| issn | 1049-2089 1548-6869 1548-6869 |
| language | eng |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); Project Muse:Jisc Collections:Project MUSE Journals Agreement 2024:Premium Collection; Social Science Premium Collection (Proquest) (PQ_SDU_P3); Sociology Collection |
| subjects | Accessibility Adolescent Adult African Americans Aged Behavior Calibration Chronic illnesses Consumption Decay Diet - statistics & numerical data Eating behavior Female Food Food Supply - statistics & numerical data Fruit Fruits Healthy food Humans Hypertension Inclusive education Male Metropolitan areas Middle Aged Models, Statistical Neighborhoods Obesity Obesity - epidemiology Reproducibility of Results Residence Characteristics - statistics & numerical data Risk factors Studies Supermarkets United States - epidemiology Urban Population - statistics & numerical data Urban populations Vegetables Young Adult |
| title | Does Distance Decay Modelling of Supermarket Accessibility Predict Fruit and Vegetable Intake by Individuals in a Large Metropolitan Area? |
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