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...
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Veröffentlicht in: | Nutrients 2014-10, Vol.6 (10), p.4338-4353 |
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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. |
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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. 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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. 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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 & 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 & Medical Complete (Alumni)</collection><collection>Health & 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. 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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" |
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