Literature DB >> 14757596

Application of a latent class analysis to empirically define eating disorder phenotypes.

Pamela K Keel1, Manfred Fichter, Norbert Quadflieg, Cynthia M Bulik, Mark G Baxter, Laura Thornton, Katherine A Halmi, Allan S Kaplan, Michael Strober, D Blake Woodside, Scott J Crow, James E Mitchell, Alessandro Rotondo, Mauro Mauri, Giovanni Cassano, Janet Treasure, David Goldman, Wade H Berrettini, Walter H Kaye.   

Abstract

CONTEXT: Diagnostic criteria for eating disorders influence how we recognize, research, and treat eating disorders, and empirically valid phenotypes are required for revealing their genetic bases.
OBJECTIVE: To empirically define eating disorder phenotypes.
DESIGN: Data regarding eating disorder symptoms and features from 1179 individuals with clinically significant eating disorders were submitted to a latent class analysis. The resulting latent classes were compared on non-eating disorder variables in a series of validation analyses.
SETTING: Multinational, collaborative study with cases ascertained through diverse clinical settings (inpatient, outpatient, and community). PARTICIPANTS: Members of affected relative pairs recruited for participation in genetic studies of eating disorders in which probands met DSM-IV-TR criteria for anorexia nervosa (AN) or bulimia nervosa and had at least 1 biological relative with a clinically significant eating disorder. Main Outcome Measure Number and clinical characterization of latent classes.
RESULTS: A 4-class solution provided the best fit. Latent class 1 (LC1) resembled restricting AN; LC2, AN and bulimia nervosa with the use of multiple methods of purging; LC3, restricting AN without obsessive-compulsive features; and LC4, bulimia nervosa with self-induced vomiting as the sole form of purging. Biological relatives were significantly likely to belong to the same latent class. Across validation analyses, LC2 demonstrated the highest levels of psychological disturbance, and LC3 demonstrated the lowest.
CONCLUSIONS: The presence of obsessive-compulsive features differentiates among individuals with restricting AN. Similarly, the combination of low weight and multiple methods of purging distinguishes among individuals with binge eating and purging behaviors. These results support some of the distinctions drawn within the DSM-IV-TR among eating disorder subtypes, while introducing new features to define phenotypes.

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Year:  2004        PMID: 14757596     DOI: 10.1001/archpsyc.61.2.192

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  38 in total

1.  Stability and change in patterns of concerns related to eating, weight, and shape in young adult women: a latent transition analysis.

Authors:  Angela S Cain; Amee J Epler; Douglas Steinley; Kenneth J Sher
Journal:  J Abnorm Psychol       Date:  2010-05

2.  An investigation of the joint longitudinal trajectories of low body weight, binge eating, and purging in women with anorexia nervosa and bulimia nervosa.

Authors:  Jason M Lavender; Kyle P De Young; Debra L Franko; Kamryn T Eddy; Andrea E Kass; Meredith S Sears; David B Herzog
Journal:  Int J Eat Disord       Date:  2010-11-10       Impact factor: 4.861

3.  A latent class model for testing for linkage and classifying families when the sample may contain segregating and non-segregating families.

Authors:  Laurel A Bastone; Richard S Spielman; Xingmei Wang; Thomas R Ten Have; Mary E Putt
Journal:  Hum Hered       Date:  2010-06-17       Impact factor: 0.444

4.  Heterogeneity moderates treatment response among patients with binge eating disorder.

Authors:  Robyn Sysko; Tom Hildebrandt; G Terence Wilson; Denise E Wilfley; W Stewart Agras
Journal:  J Consult Clin Psychol       Date:  2010-10

Review 5.  The diagnostic classification of eating disorders: current situation, possible alternatives and future perspectives.

Authors:  F Dazzi; F G Di Leone
Journal:  Eat Weight Disord       Date:  2013-10-09       Impact factor: 4.652

6.  A latent profile analysis of the typology of bulimic symptoms in an indigenous Pacific population: evidence of cross-cultural variation in phenomenology.

Authors:  J J Thomas; R D Crosby; S A Wonderlich; R H Striegel-Moore; A E Becker
Journal:  Psychol Med       Date:  2010-03-29       Impact factor: 7.723

7.  Effect Size, Statistical Power and Sample Size Requirements for the Bootstrap Likelihood Ratio Test in Latent Class Analysis.

Authors:  John J Dziak; Stephanie T Lanza; Xianming Tan
Journal:  Struct Equ Modeling       Date:  2014-01-01       Impact factor: 6.125

8.  Concerns related to eating, weight, and shape: typologies and transitions in men during the college years.

Authors:  Angela S Cain; Amee J Epler; Douglas Steinley; Kenneth J Sher
Journal:  Int J Eat Disord       Date:  2011-07-08       Impact factor: 4.861

9.  Factors associated with recovery from anorexia nervosa.

Authors:  Stephanie Zerwas; Brian C Lund; Ann Von Holle; Laura M Thornton; Wade H Berrettini; Harry Brandt; Steven Crawford; Manfred M Fichter; Katherine A Halmi; Craig Johnson; Allan S Kaplan; Maria La Via; James Mitchell; Alessandro Rotondo; Michael Strober; D Blake Woodside; Walter H Kaye; Cynthia M Bulik
Journal:  J Psychiatr Res       Date:  2013-03-25       Impact factor: 4.791

10.  Male Eating Disorder Symptom Patterns and Health Correlates From 13 to 26 Years of Age.

Authors:  Jerel P Calzo; Nicholas J Horton; Kendrin R Sonneville; Sonja A Swanson; Ross D Crosby; Nadia Micali; Kamryn T Eddy; Alison E Field
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2016-05-27       Impact factor: 8.829

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