Evaluating new severity dimensions in the DSM-5 for bulimic syndromes using mixture modeling.
Objective: Proposed DSM-5 severity dimensions reveal ambiguity regarding the extent to which certain features define boundaries between similar diagnoses or represent underlying dimensions within a broader category of bulimic syndromes. The current study utilized a novel mixed modeling approach that...
| Publicado en: | International Journal of Eating Disorders Vol. 46; no. 2; pp. 108 - 119 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Wiley-Blackwell
Mar2013
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=85386869&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 85386869 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 02763478 IJD jtl: International Journal of Eating Disorders issn: 02763478 maglogo: Y pubinfo: dt: Mar2013 vid: 46 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 85386869 10.1002/eat.22050 ppf: 108 ppct: 11 formats: tig: atl: Evaluating new severity dimensions in the DSM-5 for bulimic syndromes using mixture modeling. aug: au: Keel, Pamela K. Crosby, Ross D. Hildebrandt, Thomas B. Haedt‐Matt, Alissa A. Gravener, Julie A. affil: Department of Psychology, Florida State University, Tallahassee, Florida Neuropsychiatric Research Institute and Department of Clinical Neuroscience, University of North Dakota School of Medicine and Health Sciences, Fargo, North Dakota Eating and Weight Disorders Program, Department of Psychiatry, Mount Sinai School of Medicine, New York, New York Department of Psychology, The University of Iowa, Iowa City, Iowa Department of Clinical and Social Sciences in Psychology, University of Rochester, Rochester, New York su: Anthropometry Interviewing Classification of mental disorders Self-evaluation Sound recordings Bulimia diagnosis Chi-squared test Factor analysis Latent structure analysis Research methodology Research funding Statistics Data analysis Body mass index Inter-observer reliability Severity of illness index Data analysis software Descriptive statistics sug: subj: Anthropometry Interviewing Classification of mental disorders Self-evaluation Sound recordings Integrated Record Production/Distribution Sound recording merchant wholesalers Record Production Bulimia diagnosis Chi-squared test Factor analysis Latent structure analysis Research methodology Research funding Statistics Data analysis Body mass index Inter-observer reliability Severity of illness index Data analysis software Descriptive statistics keyword: bulimia nervosa eating disorder not otherwise specified factor mixture analysis nosology bulimia nervosa eating disorder not otherwise specified factor mixture analysis nosology ab: Objective: Proposed DSM-5 severity dimensions reveal ambiguity regarding the extent to which certain features define boundaries between similar diagnoses or represent underlying dimensions within a broader category of bulimic syndromes. The current study utilized a novel mixed modeling approach that can simultaneously model latent dimensions and latent categories to address this ambiguity. Method: Data from structured clinical interviews in 528 adult participants were analyzed. Results: A three-class solution with one severity dimension that was invariant across groups provided the best-fitting model. Both latent Classes 1 and 2 included bulimic syndromes but were distinguished by greater purging and weight phobia in latent Class 1. Latent Class 3 resembled a noneating disorder class. External validation analyses supported significant differences among empirically derived groups. Discussion: Weight phobia contributes to categorical distinctiveness among bulimic syndromes whereas other features (purging, binge eating, and weight) may do so only in specific combinations. Uniform severity criteria may be appropriate across bulimic syndromes. © 2012 by Wiley Periodicals, Inc. (Int J Eat Disord 2013) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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