A graduated food addiction classification approach significantly differentiates obesity among people with type 2 diabetes
This study examined a graduated severity level approach to food addiction classification against associations with World Health Organization obesity classifications (body mass index, kg/m2) among 408 people with type 2 diabetes. A survey including the Yale Food Addiction Scale and several demographi...
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Veröffentlicht in: | Journal of health psychology 2018-12, Vol.23 (14), p.1781-1789 |
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creator | Raymond, Karren-Lee Kannis-Dymand, Lee Lovell, Geoff P |
description | This study examined a graduated severity level approach to food addiction classification against associations with World Health Organization obesity classifications (body mass index, kg/m2) among 408 people with type 2 diabetes. A survey including the Yale Food Addiction Scale and several demographic questions demonstrated four distinct Yale Food Addiction Scale symptom severity groups (in line with Diagnostic and Statistical Manual of Mental Disorders (5th ed.) severity indicators): non-food addiction, mild food addiction, moderate food addiction and severe food addiction. Analysis of variance with post hoc tests demonstrated each severity classification group was significantly different in body mass index, with each grouping being associated with increased World Health Organization obesity classifications. These findings have implications for diagnosing food addiction and implementing treatment and prevention methodologies of obesity among people with type 2 diabetes. |
doi_str_mv | 10.1177/1359105316672096 |
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A survey including the Yale Food Addiction Scale and several demographic questions demonstrated four distinct Yale Food Addiction Scale symptom severity groups (in line with Diagnostic and Statistical Manual of Mental Disorders (5th ed.) severity indicators): non-food addiction, mild food addiction, moderate food addiction and severe food addiction. Analysis of variance with post hoc tests demonstrated each severity classification group was significantly different in body mass index, with each grouping being associated with increased World Health Organization obesity classifications. 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A survey including the Yale Food Addiction Scale and several demographic questions demonstrated four distinct Yale Food Addiction Scale symptom severity groups (in line with Diagnostic and Statistical Manual of Mental Disorders (5th ed.) severity indicators): non-food addiction, mild food addiction, moderate food addiction and severe food addiction. Analysis of variance with post hoc tests demonstrated each severity classification group was significantly different in body mass index, with each grouping being associated with increased World Health Organization obesity classifications. These findings have implications for diagnosing food addiction and implementing treatment and prevention methodologies of obesity among people with type 2 diabetes.</description><subject>Addictions</subject><subject>Body mass index</subject><subject>Classification</subject><subject>Diabetes</subject><subject>Diabetics</subject><subject>Diagnostic and Statistical Manual</subject><subject>Food</subject><subject>Healthy food</subject><subject>Mental disorders</subject><subject>Obesity</subject><subject>Prevention programs</subject><subject>Severity</subject><subject>Type 2 diabetes mellitus</subject><issn>1359-1053</issn><issn>1461-7277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp1kc1r3DAQxUVJaT7ae09BkEsvbjWSJdnHJSRNYaGX9mxkabyrxWs5lkzwfx9tdptAoCdJ837zZsQj5Cuw7wBa_wAha2BSgFKas1p9IBdQKig01_os37NcHPRzchnjjjEmVcU_kXNeVcCE1BdkWdHNZNxsEjraheCocc7b5MNAbW9i9J235uVpxnEKxm5p9JvhpTykfqHOdx1OOCSfPSINLUafFmr2YdjQEcPYI33yaUvTMiLlmTctZvIz-diZPuKX03lF_t7f_bl9KNa_f_66Xa0LK5RMRVmJlmvLa1FKWcqSO906BxUII3lrpe1QuVI5aDvluMrfarmVTugKa9CMiyvy7eibt3-cMaZm76PFvjcDhjk2UPO6qusjevMO3YV5GvJ2DQcJUuuSq0yxI2WnEOOEXTNOfm-mpQHWHGJp3seSW65PxnO7R_fa8C-HDBRHIJoNvk39r-EzUXSVOw</recordid><startdate>201812</startdate><enddate>201812</enddate><creator>Raymond, Karren-Lee</creator><creator>Kannis-Dymand, Lee</creator><creator>Lovell, Geoff P</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>7X8</scope></search><sort><creationdate>201812</creationdate><title>A graduated food addiction classification approach significantly differentiates obesity among people with type 2 diabetes</title><author>Raymond, Karren-Lee ; Kannis-Dymand, Lee ; Lovell, Geoff P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-483b27c2934554542d7bdd1813a52bc5cfe6d46d1bf6d26103b2c5d378e917023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Addictions</topic><topic>Body mass index</topic><topic>Classification</topic><topic>Diabetes</topic><topic>Diabetics</topic><topic>Diagnostic and Statistical Manual</topic><topic>Food</topic><topic>Healthy food</topic><topic>Mental disorders</topic><topic>Obesity</topic><topic>Prevention programs</topic><topic>Severity</topic><topic>Type 2 diabetes mellitus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Raymond, Karren-Lee</creatorcontrib><creatorcontrib>Kannis-Dymand, Lee</creatorcontrib><creatorcontrib>Lovell, Geoff P</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</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>MEDLINE - Academic</collection><jtitle>Journal of health psychology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Raymond, Karren-Lee</au><au>Kannis-Dymand, Lee</au><au>Lovell, Geoff P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A graduated food addiction classification approach significantly differentiates obesity among people with type 2 diabetes</atitle><jtitle>Journal of health psychology</jtitle><addtitle>J Health Psychol</addtitle><date>2018-12</date><risdate>2018</risdate><volume>23</volume><issue>14</issue><spage>1781</spage><epage>1789</epage><pages>1781-1789</pages><issn>1359-1053</issn><eissn>1461-7277</eissn><abstract>This study examined a graduated severity level approach to food addiction classification against associations with World Health Organization obesity classifications (body mass index, kg/m2) among 408 people with type 2 diabetes. A survey including the Yale Food Addiction Scale and several demographic questions demonstrated four distinct Yale Food Addiction Scale symptom severity groups (in line with Diagnostic and Statistical Manual of Mental Disorders (5th ed.) severity indicators): non-food addiction, mild food addiction, moderate food addiction and severe food addiction. Analysis of variance with post hoc tests demonstrated each severity classification group was significantly different in body mass index, with each grouping being associated with increased World Health Organization obesity classifications. These findings have implications for diagnosing food addiction and implementing treatment and prevention methodologies of obesity among people with type 2 diabetes.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>28810357</pmid><doi>10.1177/1359105316672096</doi><tpages>9</tpages></addata></record> |
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subjects | Addictions Body mass index Classification Diabetes Diabetics Diagnostic and Statistical Manual Food Healthy food Mental disorders Obesity Prevention programs Severity Type 2 diabetes mellitus |
title | A graduated food addiction classification approach significantly differentiates obesity among people with type 2 diabetes |
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