{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T18:32:10Z","timestamp":1774031530579,"version":"3.50.1"},"reference-count":45,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2016,11,12]],"date-time":"2016-11-12T00:00:00Z","timestamp":1478908800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Academy for Eating Disorders (Student Research Grant)"},{"name":"American Psychological Association (Dissertation Research Award)"},{"name":"American Psychological Association of Graduate Students (Scott Mesh Honorary Grant for Research in Psychology)"},{"name":"American Psychological Foundation (APF\/COGDOP Graduate Research Scholarship)"},{"name":"Clifford B. Kinley Trust; and University of Kansas New Faculty Research Grant"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Intl J Eating Disorders"],"published-print":{"date-parts":[[2017,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>Several theoretical models describe the structure of eating disorders (EDs), and a burgeoning empirical literature has sought to identify whether eating pathology is conceptualized best as categorical (presence or absence of disorder), dimensional (continuous), or a hybrid of categories and dimensions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This study used structural equation mixture modeling (SEMM) to identify the latent structure of EDs. Items from the Eating Pathology Symptoms Inventory (EPSI) were administered to individuals with EDs (<jats:italic>N<\/jats:italic>\u2009=\u2009344). Select EPSI scales and body mass index were indicators in subsequent SEMM analyses. The Inventory of Depression and Anxiety Symptoms (IDAS), ED diagnoses, and select demographic variables were used as validators using chi\u2010square or MANOVA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Categorical models fit the data better than latent dimensional or hybrid models. Latent profile 1 (LP1) was non\u2010fat\u2010phobic restricting anorexia nervosa; LP2, an obese, binge\u2010eating class; LP3, non\u2010purging bulimia nervosa; LP4, fat\u2010phobic restricting anorexia nervosa; and LP5, multiple purging bulimia nervosa. External validation analyses indicated that LP4 and LP5 had the highest non\u2010ED\u2010related psychopathology.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>These findings indicate that there is substantial variability in the phenomenology of traditional <jats:italic>DSM<\/jats:italic>\u2010based ED categories across latent profiles, and highlight the salience of certain ED phenotypes that have been debated in the literature. \u00a9 2016 Wiley Periodicals, Inc.(Int J Eat Disord 2017; 50:542\u2013550)<\/jats:p><\/jats:sec>","DOI":"10.1002\/eat.22634","type":"journal-article","created":{"date-parts":[[2016,11,16]],"date-time":"2016-11-16T13:06:46Z","timestamp":1479301606000},"page":"542-550","source":"Crossref","is-referenced-by-count":11,"title":["Application of structural equation mixture modeling to characterize the latent structure of eating pathology"],"prefix":"10.1002","volume":"50","author":[{"given":"Kelsie T.","family":"Forbush","sequence":"first","affiliation":[{"name":"Department of Psychology University of Kansas Kansas"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer E.","family":"Wildes","sequence":"additional","affiliation":[{"name":"Department of Psychiatry and Behavioral Neuroscience The University of Chicago Chicago Illinois"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2016,11,12]]},"reference":[{"key":"e_1_2_6_2_1","unstructured":"NIMH. 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