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References

  • 1
    Wonderlich SA,Joiner TE,Jr,Keel PK,Williamson DA,Crosby RD. Eating disorder diagnoses: Empirical approaches to classification. Am Psychol 2007; 62: 167180.
  • 2
    Walsh BT. DSM-V from the perspective of the DSM-IV experience. Int J Eat Disord. 2007; 40( Suppl): S3S7.
  • 3
    Sullivan PF,Bulik CM,Kendler KS. The epidemiology and classification of bulimia nervosa. Psychol Med 1998; 28: 599610.
  • 4
    Bulik CM,Sullivan PF,Kendler KS. An empirical study of the classification of eating disorders. Am J Psychiatry 2000; 157: 886895.
  • 5
    Keel PK,Fichter M,Quadflieg N,Bulik CM,Baxter MG,Thornton L, et al. Application of a latent class analysis to empirically define eating disorder phenotypes. Arch Gen Psychiatry 2004; 61: 192200.
  • 6
    Striegel-Moore RH,Franko DL,Thompson D,Barton B,Schreiber GB,Daniels SR. An empirical study of the typology of bulimia nervosa and its spectrum variants. Psychol Med 2005; 35: 15631572.
  • 7
    Myers TC,Wonderlich SA,Crosby R,Mitchell JE,Steffen KJ,Smyth J, et al. Is multi-impulsive bulimia a distinct type of bulimia nervosa: Psychopathology and EMA findings. Int J Eat Disord 2006; 39: 655661.
  • 8
    Pinheiro AP,Bulik CM,Sullivan PF,Machado PP. An empirical study of the typology of bulimic symptoms in young Portuguese women. Int J Eat Disord 2008; 41: 251258.
  • 9
    Richardson J,Steiger H,Schmitz N,Joober R,Bruce KR,Israel M, et al. Relevance of the 5-HTTLPR polymorphism and childhood abuse to increased psychiatric comorbidity in women with bulimia-spectrum disorders. J Clin Psychiatry 2008; 69: 981990.
  • 10
    Cain AS,Epler AJ,Steinley D,Sher KJ. Stability and change in patterns of concerns related to eating, weight, and shape in young adult women: A latent transition analysis. J Abnorm Psychol 2010; 119: 255267.
  • 11
    Peterson CB,Crow SJ,Swanson SA,Crosby RD,Wonderlich SA,Mitchell JE, et al. Examining the stability of DSM-IV and empirically-derived eating disorder classification: Implications for DSM-5. J Consult Clin Psych, in press.
  • 12
    Wonderlich SA,Crosby RD,Joiner T,Peterson CB,Bardone-Cone A,Klein M, et al. Personality subtyping and bulimia nervosa: Psychopathological and genetic correlates. Psychol Med 2005; 35: 649657.
  • 13
    Wade TD,Crosby RD,Martin NG. Use of latent profile analysis to identify eating disorder phenotypes in an adult Australian twin cohort. Arch Gen Psychiatry 2006; 63: 13771384.
  • 14
    Wagner A,Barbarich-Marsteller NC,Frank GK,Bailer UF,Wonderlich SA,Crosby RD, et al. Personality traits after recovery from eating disorders: Do subtypes differ? Int J Eat Disord 2006; 39: 276284.
  • 15
    Wonderlich SA,Crosby RD,Engel SG,Mitchell JE,Smyth J,Miltenberger R. Personality-based clusters in bulimia nervosa: Differences in clinical variables and ecological momentary assessment. J Pers Disord 2007; 21: 340357.
  • 16
    Mitchell JE,Crosby RD,Wonderlich SA,Hill L,le Grange D,Powers P, et al. Latent profile analysis of a cohort of patients with eating disorders not otherwise specified. Int J Eat Disord 2007; 40( Suppl): S95S98.
  • 17
    Duncan AE,Bucholz KK,Neuman RJ,Agrawal A,Madden PA,Heath AC. Clustering of eating disorder symptoms in a general population female twin sample: A latent class analysis. Psychol Med 2007; 37: 10971107.
  • 18
    Jacobs MJ,Roesch S,Wonderlich SA,Crosby R,Thornton L,Wilfley DE, et al. Anorexia nervosa trios: Behavioral profiles of individuals with anorexia nervosa and their parents. Psychol Med 2009; 39: 451461.
  • 19
    Steiger H,Richardson J,Schmitz N,Joober R,Israel M,Bruce KR, et al. Association of trait-defined, eating-disorder sub-phenotypes with (biallelic and triallelic) 5HTTLPR variations. J Psychiatr Res 2009; 43: 10861094.
  • 20
    Eddy KT,Crosby RD,Keel PK,Wonderlich SA,le Grange D,Hill L, et al. Empirical identification and validation of eating disorder phenotypes in a multisite clinical sample. J Nerv Ment Dis 2009; 197: 4149.
  • 21
    Eddy KT,Le Grange D,Crosby RD,Hoste RR,Doyle AC,Smyth A, et al. Diagnostic classification of eating disorders in children and adolescents: How does DSM-IV-TR compare to empirically-derived categories? J Am Acad Child Adolesc Psychiatry 49: 277287;quiz 93.
  • 22
    Steiger H,Richardson J,Schmitz N,Israel M,Bruce KR,Gauvin L. Trait-defined eating-disorder subtypes and history of childhood abuse. Int J Eat Disord 2010; 43: 428432.
  • 23
    Thomas JJ,Crosby RD,Wonderlich SA,Striegel-Moore RH,Becker AE. The typology of bulimic symptoms in an ethnic Fijian population: A latent profile analysis. Psychol Med,in press.
  • 24
    Olmsted MP,Wonderlich SA,McFarlane T,Crosby R. Empirical taxonomy of patients with eating disorders. In: Striegel-Moore RH,Wonderlich SA,Walsh T,Mitchell JE, editors. American Psychiatric Association Monograph on Eating Disorders: Towards an Evidence Based Classification of Eating Disorders. American Psychiatric Publishing, 2011, pp. 121132.
  • 25
    Crosby R,Fichter M,Quadflieg N,Wonderlich SA. Validating eating disorder classification models with mortality and recovery data. In: Striegel-Moore RH,Wonderlich SA,Walsh T,Mitchell JE, editors. American Psychiatric Association Monograph on Eating Disorders: Towards an Evidence Based Classification of Eating Disorders. American Psychiatric Publishing, 2011, pp. 133144.
  • 26
    O'Toole JK,DeSocio JE,Munoz D,Crosby R. Eating disorders in children and adolescents: Diagnostic differences and clinical challenges. In: Striegel-Moore RH,Wonderlich SA,Walsh T,Mitchell JE, editors. American Psychiatric Association Monograph on Eating Disorders: Towards an Evidence Based Classification of Eating Disorders. American Psychiatric Publishing, 2011, pp. 203220.
  • 27
    Lin TH,Dayton CM. Model selection information criteria for non-nesterd latent class models. J Educ Behav Stat 1997; 22: 249264.
  • 28
    Aikaike H. Information theory and an extension of the maximum likelihood principle. In: Petrov BN,Csaki F, editors. Second International Symposium on Information Theory. Budapest: Akademiai Kiado, 1973, pp. 267281.
  • 29
    Schwarz G. Estimating the dimension of a model. Ann Stat 1978; 6: 461464.
  • 30
    Bozdogan H. Model selection and Aikaike's information criterion (AIC): The general theory and its analytic extensions. Psychometrika 1987; 52: 345370.
  • 31
    Yang CC. Evaluating latent class analysis models in qualitative phenotype identification. Comput Stat Data Anal 2006; 50: 10901104.
  • 32
    Sclove LS. Application of model-selection criteria to some problems in multivariate analysis. Psychometrika 1987; 52: 333343.
  • 33
    Nylund KL,Asparouhov T,Muthen BO. Deciding on the number of classes in latent class and growth mixture modeling: A Monte Carlo simulation study. Struct Equation Model 2007; 14: 535569.
  • 34
    Vacek PM. The effect of conditional dependence on the evaluation of diagnostic tests. Biometrics 1985; 41: 959968.
  • 35
    Torrance-Rynard VL,Walter SD. Effects of dependent errors in the assessment of diagnostic test performance. Stat Med 1997; 16: 21572175.
  • 36
    Suppes P,Zanotti M. When are probabilistic explanations possible? Syntheses 1981; 48: 191199.
  • 37
    Unick GJ,Snowden L,Hastings J. Heterogeneity in comorbidity between major depressive disorder and generalized anxiety disorder and its clinical consequences. J Nerv Ment Dis 2009; 197: 215224.
  • 38
    Holliday EG,McLean DE,Nyholt DR,Mowry BJ. Susceptibility locus on chromosome 1q23-25 for a schizophrenia subtype resembling deficit schizophrenia identified by latent class analysis. Arch Gen Psychiatry 2009; 66: 10581067.
  • 39
    Boyko EJ,Doheny RA,McNeely MJ,Kahn SE,Leonetti DL,Fujimoto WY. Latent class analysis of the metabolic syndrome. Diabetes Res Clin Pract 2010; 89: 8893.
  • 40
    Ligthart L,Nyholt DR,Hottenga JJ,Distel MA,Willemsen G,Boomsma DI. A genome-wide linkage scan provides evidence for both new and previously reported loci influencing common migraine. Am J Med Genet B Neuropsychiatr Genet 2008; 147B: 11861195.
  • 41
    Boxall PC,Adamowicz WL. Understanding heterogeneous preferences in random utility models: A latent class approach. Environ Resource Econ 2002; 23: 421446.
  • 42
    Bureau A,Labbe A,Croteau J,Merette C. Using disease symptoms to improve detection of linkage under genetic heterogeneity. Genet Epidemiol 2008; 32: 476486.
  • 43
    Fanous AH,Neale MC,Webb BT,Straub RE,O'Neill FA,Walsh D, et al. Novel linkage to chromosome 20p using latent classes of psychotic illness in 270 Irish high-density families. Biol Psychiatry 2008; 64: 121127.
  • 44
    Qu Y,Tan M,Kutner MH. Random effects models in latent class analysis for evaluating accuracy of diagnostic tests. Biometrics 1996; 52: 797810.
  • 45
    Seber GAF,Lee AJ. Linear Regression Analysis. New York: Wiley, 2003, pp. 228231.
  • 46
    Holling H,Schlack R. [Eating disorders in children and adolescents. First results of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS)]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2007; 50: 794799.
  • 47
    Jones JM,Bennett S,Olmsted MP,Lawson ML,Rodin G. Disordered eating attitudes and behaviours in teenaged girls: A school-based study. CMAJ 2001; 165: 547552.
  • 48
    Muthen LK,Muthen BO. Mplus User's Guide, 5th ed. Los Angeles, CA: Muthen & Muthen, 1998-2007.
  • 49
    Linzer D,Lewis J. Polytomous latent class analysis. 2010 [cited 2010]; Available from: http://userwww.service.emory.edu/∼dlinzer/ poLCA.
  • 50
    Frisch RE. Fatness, menarche, and female fertility. Perspect Biol Med 1985; 28: 611633.