{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T00:31:36Z","timestamp":1790728296830,"version":"4.1.0"},"reference-count":68,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T00:00:00Z","timestamp":1655078400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Nutr."],"abstract":"<jats:p>Recently, neurocognitive studies have shown that food categorization is sensitive to both the properties of the food stimuli (e.g., calorie content) and the individual characteristics of subjects (e.g., BMI, eating disorders) asked to categorize these stimuli. Furthermore, groups of patients with eating disorders (ED) were described as relying more on moral criteria to form food categories than were control subjects. The present studies built on these seminal articles and aimed to determine whether certain food properties might trigger moral categories preferentially in subjects suffering from ED and in the general population. Using a Go\/No-Go Association Task, Study 1 focused on the extent to which food categories are laden with moral attributes in ED patients compared to control subjects. Study 2 was a follow-up with a different design (an Implicit Association Test), another food variable (calorie content), and two non-clinical subgroups (orthorexic and healthy control subjects). Results revealed for the first time implicit associations between food variables cueing for energy density and moral attributes in the general population, the population suffering from anorexia nervosa, and subjects suffering from disordered eating such as orthorexia nervosa. These findings suggest that moralization of food is a pervasive phenomenon that can be measured with methods reputed to be less vulnerable to self-presentation or social desirability biases.<\/jats:p>","DOI":"10.3389\/fnut.2022.884003","type":"journal-article","created":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T06:06:38Z","timestamp":1655100398000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Sinful Foods: Measuring Implicit Associations Between Food Categories and Moral Attributes in Anorexic, Orthorexic, and Healthy Subjects"],"prefix":"10.3389","volume":"9","author":[{"given":"Clara","family":"Lakritz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lola","family":"Tournayre","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marilou","family":"Ouellet","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sylvain","family":"Iceta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philibert","family":"Duriez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vincent","family":"Masetti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J\u00e9r\u00e9mie","family":"Lafraire","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,6,13]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1024","DOI":"10.3758\/BF03201232","article-title":"Induction with cross-classified categories.","volume":"27","author":"Murphy","year":"1999","journal-title":"Mem Cognit."},{"key":"B2","doi-asserted-by":"publisher","first-page":"967","DOI":"10.1016\/j.neuroimage.2008.10.005","article-title":"The brain tracks the energetic value in food images.","volume":"44","author":"Toepel","year":"2009","journal-title":"NeuroImage."},{"key":"B3","first-page":"2005","article-title":"What categorization tells us about food representation.","volume":"3","author":"Urdapilleta","year":"2005","journal-title":"Curr Psychol Lett."},{"key":"B4","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1002\/erv.2216","article-title":"Neural responses to visual food cues: insights from functional magnetic resonance imaging.","volume":"21","author":"Garc\u00eda-Garc\u00eda","year":"2013","journal-title":"Eur Eating Disord Rev."},{"key":"B5","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1016\/j.biopsycho.2017.09.001","article-title":"A neural signature of food semantics is associated with body-mass index.","volume":"129","author":"Pergola","year":"2017","journal-title":"Biol Psychol."},{"key":"B6","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1146\/annurev.psych.093008.131123","article-title":"Thirty years and counting: finding meaning in the N400 component of the event-related brain potential (ERP).","volume":"62","author":"Kutas","year":"2011","journal-title":"Annu Rev Psychol."},{"key":"B7","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1126\/science.7350657","article-title":"Reading senseless sentences: brain potentials reflect semantic incongruity.","volume":"207","author":"Kutas","year":"1980","journal-title":"Science."},{"key":"B8","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/0301-0511(80)90046-0","article-title":"Event-related brain potentials to semantically inappropriate and surprisingly large words.","volume":"11","author":"Kutas","year":"1980","journal-title":"Biol Psychol."},{"key":"B9","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.foodqual.2018.11.014","article-title":"Implicit and explicit evaluations of foods: the natural and transformed dimension.","volume":"73","author":"Coricelli","year":"2019","journal-title":"Food Qual Prefer."},{"key":"B10","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/j.appet.2009.07.001","article-title":"Who likes it more? 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