A psycho-genetic study of hedonic responsiveness in relation to "food addiction"

While food addiction has no formally-recognized definition, it is typically operationalized according to the diagnostic principles established by the Yale Food Addiction Scale-an inventory based on the symptom criteria for substance dependence in the DSM-IV. Currently, there is little biologically-b...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nutrients 2014-10, Vol.6 (10), p.4338-4353
Hauptverfasser: Davis, Caroline, Loxton, Natalie J
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 4353
container_issue 10
container_start_page 4338
container_title Nutrients
container_volume 6
creator Davis, Caroline
Loxton, Natalie J
description While food addiction has no formally-recognized definition, it is typically operationalized according to the diagnostic principles established by the Yale Food Addiction Scale-an inventory based on the symptom criteria for substance dependence in the DSM-IV. Currently, there is little biologically-based research investigating the risk factors for food addiction. What does exist has focused almost exclusively on dopaminergic reward pathways in the brain. While brain opioid signaling has also been strongly implicated in the control of food intake, there is no research examining this neural circuitry in the association with food addiction. The purpose of the study was therefore to test a model predicting that a stronger activation potential of opioid circuitry-as indicated by the functional A118G marker of the mu-opioid receptor gene-would serve as an indirect risk factor for food addiction via a heightened hedonic responsiveness to palatable food. Results confirmed these relationships. In addition, our findings that the food-addiction group had significantly higher levels of hedonic responsiveness to food suggests that this bio-behavioral trait may foster a proneness to overeating, to episodes of binge eating, and ultimately to a compulsive and addictive pattern of food intake.
doi_str_mv 10.3390/nu6104338
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4210920</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2271822449</sourcerecordid><originalsourceid>FETCH-LOGICAL-c469t-937c453d9faf9b3e038c99e7e41a46cd6a13666eb04115c597d541db975294603</originalsourceid><addsrcrecordid>eNqNkktLAzEUhYMottQu_AMy6EYXo3lNMtkIUnxBQRe6DmmSaSPTpE5mhP57U1tLdaNZ3IRzPw6cmwvAMYKXhAh45TuGICWk3AN9DDnOGaNkf-fdA8MY3-DqcMgZOQQ9XBBcpNIHzzfZIi71LORT623rdBbbziyzUGUza4JPQmPjIvjoPhIQY-Z8UmrVuuCzNmSnVQgmU8Y4vZJOj8BBpepoh5t7AF7vbl9GD_n46f5xdDPONWWizQXhmhbEiEpVYkIsJKUWwnJLkaJMG6YQYYzZCaQIFboQ3BQUmYngBRaUQTIA12vfRTeZW6OtbxtVy0Xj5qpZyqCc_Nnxbian4UNSjKDAK4PzjUET3jsbWzl3Udu6Vt6GLkqMOSoxplT8iSImqOAEFugfKEr5Mf5KcPYLfQtd49PQEoVpKRgueaIu1pRuQoyNrbYREZSrBZDbBUjsye5MtuT3d5NPEN-pKQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1624896287</pqid></control><display><type>article</type><title>A psycho-genetic study of hedonic responsiveness in relation to "food addiction"</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Davis, Caroline ; Loxton, Natalie J</creator><creatorcontrib>Davis, Caroline ; Loxton, Natalie J</creatorcontrib><description>While food addiction has no formally-recognized definition, it is typically operationalized according to the diagnostic principles established by the Yale Food Addiction Scale-an inventory based on the symptom criteria for substance dependence in the DSM-IV. Currently, there is little biologically-based research investigating the risk factors for food addiction. What does exist has focused almost exclusively on dopaminergic reward pathways in the brain. While brain opioid signaling has also been strongly implicated in the control of food intake, there is no research examining this neural circuitry in the association with food addiction. The purpose of the study was therefore to test a model predicting that a stronger activation potential of opioid circuitry-as indicated by the functional A118G marker of the mu-opioid receptor gene-would serve as an indirect risk factor for food addiction via a heightened hedonic responsiveness to palatable food. Results confirmed these relationships. In addition, our findings that the food-addiction group had significantly higher levels of hedonic responsiveness to food suggests that this bio-behavioral trait may foster a proneness to overeating, to episodes of binge eating, and ultimately to a compulsive and addictive pattern of food intake.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu6104338</identifier><identifier>PMID: 25325253</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Addictions ; Addictive behaviors ; Adult ; Behavior, Addictive - genetics ; Behavior, Addictive - psychology ; Binge eating ; binging ; brain ; Brain research ; Dopamine ; Eating - genetics ; Eating - psychology ; eating disorders ; Feeding Behavior - psychology ; Female ; Food ; food intake ; Humans ; Male ; Mental disorders ; Middle Aged ; Narcotics ; Nerve Net - metabolism ; overeating ; prediction ; Receptors, Opioid, mu - genetics ; risk factors ; Stigma ; substance abuse</subject><ispartof>Nutrients, 2014-10, Vol.6 (10), p.4338-4353</ispartof><rights>Copyright MDPI AG 2014</rights><rights>2014 by the authors; licensee MDPI, Basel, Switzerland. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c469t-937c453d9faf9b3e038c99e7e41a46cd6a13666eb04115c597d541db975294603</citedby><cites>FETCH-LOGICAL-c469t-937c453d9faf9b3e038c99e7e41a46cd6a13666eb04115c597d541db975294603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210920/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210920/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25325253$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Davis, Caroline</creatorcontrib><creatorcontrib>Loxton, Natalie J</creatorcontrib><title>A psycho-genetic study of hedonic responsiveness in relation to "food addiction"</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>While food addiction has no formally-recognized definition, it is typically operationalized according to the diagnostic principles established by the Yale Food Addiction Scale-an inventory based on the symptom criteria for substance dependence in the DSM-IV. Currently, there is little biologically-based research investigating the risk factors for food addiction. What does exist has focused almost exclusively on dopaminergic reward pathways in the brain. While brain opioid signaling has also been strongly implicated in the control of food intake, there is no research examining this neural circuitry in the association with food addiction. The purpose of the study was therefore to test a model predicting that a stronger activation potential of opioid circuitry-as indicated by the functional A118G marker of the mu-opioid receptor gene-would serve as an indirect risk factor for food addiction via a heightened hedonic responsiveness to palatable food. Results confirmed these relationships. In addition, our findings that the food-addiction group had significantly higher levels of hedonic responsiveness to food suggests that this bio-behavioral trait may foster a proneness to overeating, to episodes of binge eating, and ultimately to a compulsive and addictive pattern of food intake.</description><subject>Addictions</subject><subject>Addictive behaviors</subject><subject>Adult</subject><subject>Behavior, Addictive - genetics</subject><subject>Behavior, Addictive - psychology</subject><subject>Binge eating</subject><subject>binging</subject><subject>brain</subject><subject>Brain research</subject><subject>Dopamine</subject><subject>Eating - genetics</subject><subject>Eating - psychology</subject><subject>eating disorders</subject><subject>Feeding Behavior - psychology</subject><subject>Female</subject><subject>Food</subject><subject>food intake</subject><subject>Humans</subject><subject>Male</subject><subject>Mental disorders</subject><subject>Middle Aged</subject><subject>Narcotics</subject><subject>Nerve Net - metabolism</subject><subject>overeating</subject><subject>prediction</subject><subject>Receptors, Opioid, mu - genetics</subject><subject>risk factors</subject><subject>Stigma</subject><subject>substance abuse</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkktLAzEUhYMottQu_AMy6EYXo3lNMtkIUnxBQRe6DmmSaSPTpE5mhP57U1tLdaNZ3IRzPw6cmwvAMYKXhAh45TuGICWk3AN9DDnOGaNkf-fdA8MY3-DqcMgZOQQ9XBBcpNIHzzfZIi71LORT623rdBbbziyzUGUza4JPQmPjIvjoPhIQY-Z8UmrVuuCzNmSnVQgmU8Y4vZJOj8BBpepoh5t7AF7vbl9GD_n46f5xdDPONWWizQXhmhbEiEpVYkIsJKUWwnJLkaJMG6YQYYzZCaQIFboQ3BQUmYngBRaUQTIA12vfRTeZW6OtbxtVy0Xj5qpZyqCc_Nnxbian4UNSjKDAK4PzjUET3jsbWzl3Udu6Vt6GLkqMOSoxplT8iSImqOAEFugfKEr5Mf5KcPYLfQtd49PQEoVpKRgueaIu1pRuQoyNrbYREZSrBZDbBUjsye5MtuT3d5NPEN-pKQ</recordid><startdate>20141016</startdate><enddate>20141016</enddate><creator>Davis, Caroline</creator><creator>Loxton, Natalie J</creator><general>MDPI AG</general><general>MDPI</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>3V.</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope></search><sort><creationdate>20141016</creationdate><title>A psycho-genetic study of hedonic responsiveness in relation to "food addiction"</title><author>Davis, Caroline ; Loxton, Natalie J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c469t-937c453d9faf9b3e038c99e7e41a46cd6a13666eb04115c597d541db975294603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Addictions</topic><topic>Addictive behaviors</topic><topic>Adult</topic><topic>Behavior, Addictive - genetics</topic><topic>Behavior, Addictive - psychology</topic><topic>Binge eating</topic><topic>binging</topic><topic>brain</topic><topic>Brain research</topic><topic>Dopamine</topic><topic>Eating - genetics</topic><topic>Eating - psychology</topic><topic>eating disorders</topic><topic>Feeding Behavior - psychology</topic><topic>Female</topic><topic>Food</topic><topic>food intake</topic><topic>Humans</topic><topic>Male</topic><topic>Mental disorders</topic><topic>Middle Aged</topic><topic>Narcotics</topic><topic>Nerve Net - metabolism</topic><topic>overeating</topic><topic>prediction</topic><topic>Receptors, Opioid, mu - genetics</topic><topic>risk factors</topic><topic>Stigma</topic><topic>substance abuse</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davis, Caroline</creatorcontrib><creatorcontrib>Loxton, Natalie J</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 Central (Corporate)</collection><collection>Physical Education Index</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content 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 Central China</collection><collection>MEDLINE - Academic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Davis, Caroline</au><au>Loxton, Natalie J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A psycho-genetic study of hedonic responsiveness in relation to "food addiction"</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2014-10-16</date><risdate>2014</risdate><volume>6</volume><issue>10</issue><spage>4338</spage><epage>4353</epage><pages>4338-4353</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>While food addiction has no formally-recognized definition, it is typically operationalized according to the diagnostic principles established by the Yale Food Addiction Scale-an inventory based on the symptom criteria for substance dependence in the DSM-IV. Currently, there is little biologically-based research investigating the risk factors for food addiction. What does exist has focused almost exclusively on dopaminergic reward pathways in the brain. While brain opioid signaling has also been strongly implicated in the control of food intake, there is no research examining this neural circuitry in the association with food addiction. The purpose of the study was therefore to test a model predicting that a stronger activation potential of opioid circuitry-as indicated by the functional A118G marker of the mu-opioid receptor gene-would serve as an indirect risk factor for food addiction via a heightened hedonic responsiveness to palatable food. Results confirmed these relationships. In addition, our findings that the food-addiction group had significantly higher levels of hedonic responsiveness to food suggests that this bio-behavioral trait may foster a proneness to overeating, to episodes of binge eating, and ultimately to a compulsive and addictive pattern of food intake.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>25325253</pmid><doi>10.3390/nu6104338</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2072-6643
ispartof Nutrients, 2014-10, Vol.6 (10), p.4338-4353
issn 2072-6643
2072-6643
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4210920
source MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; EZB-FREE-00999 freely available EZB journals; PubMed Central; PubMed Central Open Access
subjects Addictions
Addictive behaviors
Adult
Behavior, Addictive - genetics
Behavior, Addictive - psychology
Binge eating
binging
brain
Brain research
Dopamine
Eating - genetics
Eating - psychology
eating disorders
Feeding Behavior - psychology
Female
Food
food intake
Humans
Male
Mental disorders
Middle Aged
Narcotics
Nerve Net - metabolism
overeating
prediction
Receptors, Opioid, mu - genetics
risk factors
Stigma
substance abuse
title A psycho-genetic study of hedonic responsiveness in relation to "food addiction"
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T16%3A16%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20psycho-genetic%20study%20of%20hedonic%20responsiveness%20in%20relation%20to%20%22food%20addiction%22&rft.jtitle=Nutrients&rft.au=Davis,%20Caroline&rft.date=2014-10-16&rft.volume=6&rft.issue=10&rft.spage=4338&rft.epage=4353&rft.pages=4338-4353&rft.issn=2072-6643&rft.eissn=2072-6643&rft_id=info:doi/10.3390/nu6104338&rft_dat=%3Cproquest_pubme%3E2271822449%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1624896287&rft_id=info:pmid/25325253&rfr_iscdi=true