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Externalizing disorders: Cluster 5 of the proposed meta-structure for DSM-V and ICD-11

Paper 6 of 7 of the thematic section: ‘A proposal for a meta-structure for DSM-V and ICD-11’

Published online by Cambridge University Press:  01 October 2009

R. F. Krueger*
Affiliation:
Departments of Psychology and Psychiatry, Washington University in St Louis, St Louis, MO, USA
S. C. South
Affiliation:
Department of Psychology, Purdue University, Lafayette, IN, USA
*
*Address for correspondence: Dr R. F. Krueger, Washington University in St Louis, Campus Box 1125, St Louis, MO 63130-4899, USA. (Email: rkrueger@artsci.wustl.edu)

Abstract

Background

The extant major psychiatric classifications DSM-IV and ICD-10 are purportedly atheoretical and largely descriptive. Although this achieves good reliability, the validity of a medical diagnosis is greatly enhanced by an understanding of the etiology. In an attempt to group mental disorders on the basis of etiology, five clusters have been proposed. We consider the validity of the fifth cluster, externalizing disorders, within this proposal.

Method

We reviewed the literature in relation to 11 validating criteria proposed by the Study Group of the DSM-V Task Force, in terms of the extent to which these criteria support the idea of a coherent externalizing spectrum of disorders.

Results

This cluster distinguishes itself by the central role of disinhibitory personality in mental disorders spread throughout sections of the current classifications, including substance dependence, antisocial personality disorder and conduct disorder. Shared biomarkers, co-morbidity and course offer additional evidence for a valid cluster of externalizing disorders.

Conclusion

Externalizing disorders meet many of the salient criteria proposed by the Study Group of the DSM-V Task Force to suggest a classification cluster.

Type
Thematic section: A proposal for a meta-structure for DSM-V and ICD-11
Copyright
Copyright © Cambridge University Press 2009

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References

Achenbach, TM (1966). The classification of children's psychiatric symptoms: a factor-analytic study. Psychological Monographs 80, 137.Google Scholar
Andrews, G, Goldberg, DP, Krueger, RF, Carpenter, WT Jr., Hyman, SE, Sachdev, P, Pine, DS (2009). Exploring the feasibility of a meta-structure for DSM-V and ICD-11: could it improve utility and validity? Psychological Medicine. doi:10.1017/S0033291709990250.CrossRefGoogle ScholarPubMed
Appleyard, K, Egeland, B, van Dulmen, MHM, Sroufe, LA (2005). When more is not better: the role of cumulative risk in child behavior outcomes. Journal of Child Psychology and Psychiatry 46, 235245.Google Scholar
Aron, AR (2007). The neural basis of inhibition in cognitive control. Neuroscientist 13, 214228.CrossRefGoogle ScholarPubMed
Aron, AR (2008). Progress in executive-function research: from tasks to functions to regions to networks. Current Directions in Psychological Science 17, 124129.Google Scholar
Arseneault, L, Moffitt, TE, Caspi, A, Taylor, PJ, Silva, PA (2000). Mental disorders and violence in a total birth cohort: results from the Dunedin Study. Archives of General Psychiatry 57, 979986.CrossRefGoogle Scholar
Begleiter, H, Porjesz, B (1999). What is inherited in the predisposition toward alcoholism? A proposed model. Alcohol Clinical and Experimental Research 23, 11251135.Google Scholar
Carlson, SR, McLarnon, ME, Iacono, WG (2007). P300 amplitude, externalizing psychopathology, and earlier- versus later-onset substance-use disorder. Journal of Abnormal Psychology 116, 565577.Google Scholar
Caspi, A, Moffitt, TE, Newman, DL, Silva, PA (1996). Behavioral observations at age 3 years predict adult psychiatric disorders. Longitudinal evidence from a birth cohort. Archives of General Psychiatry 53, 10331039.Google Scholar
Chassin, L, Flora, DB, King, KM (2004). Trajectories of alcohol and drug use and dependence from adolescence to adulthood: the effects of familial alcoholism and personality. Journal of Abnormal Psychology 113, 483498.CrossRefGoogle ScholarPubMed
Clark, LA (2005). Temperament as a unifying basis for personality and psychopathology. Journal of Abnormal Psychology 114, 505521.CrossRefGoogle ScholarPubMed
Cohen, JD, Forman, SD, Braver, TD, Casey, BJ, Servan-Schreiber, D, Noll, DC (1994). Activation of prefrontal cortex in a nonspatial working memory task with functional MRI. Human Brain Mapping 1, 293304.Google Scholar
Cohen, JD, Perlstein, WM, Braver, TS, Nystrom, LE, Noll, DC, Jonides, J, Smith, EE (1997). Temporal dynamics of brain activation during a working memory task. Nature 386, 604608.CrossRefGoogle ScholarPubMed
Corley, RP, Zeiger, JS, Crowley, T, Ehringer, MA, Hewitt, JK, Hopfer, CJ, Lessem, J, McQueen, MB, Rhee, SH, Smolen, A, Stallings, MC, Young, SE, Krauter, K (2008). Association of candidate genes with antisocial drug dependence in adolescents. Drug and Alcohol Dependence 96, 9098.CrossRefGoogle ScholarPubMed
Costa, PT Jr., Widiger, TA (2002). Personality Disorders and the Five-Factor Model of Personality, 2nd edn. American Psychological Association: Washington, DC.CrossRefGoogle Scholar
Damasio, H, Grabowski, T, Frank, R, Galaburda, AM, Damasio, AR (1994). The return of Phineas Gage: clues about the brain from the skull of a famous patient. Science 264, 11021105.CrossRefGoogle ScholarPubMed
Davidson, RJ, Putnam, KM, Larson, C (2000). Dysfunction in the neural circuitry of emotion regulation: a possible prelude to violence. Science 289, 591594.CrossRefGoogle ScholarPubMed
Deater-Deckard, K, Dodge, KA, Bates, JE, Pettit, GS (1998). Multiple risk factors in the development of externalizing behavior problems: group and individual differences. Developmental Psychopathology 10, 469493.CrossRefGoogle ScholarPubMed
Dick, DM, Aliev, F, Wang, JC, Grucza, RA, Schuckit, M, Kuperman, S, Kramer, J, Hinrichs, A, Bertelsen, S, Budde, JP, Hesselbrock, V, Porjesz, B, Edenberg, HJ, Bierut, LJ, Goate, A (2008). Using dimensional models of externalizing psychopathology to aid in gene identification. Archives of General Psychiatry 65, 310318.Google Scholar
Dick, DM, Viken, R, Purcell, S, Kaprio, J, Pulkkinen, L, Rose, RJ (2007). Parental monitoring moderates the importance of genetic and environmental influences on adolescent smoking. Journal of Abnormal Psychology 116, 213218.CrossRefGoogle ScholarPubMed
Goldberg, DP, Krueger, RF, Andrews, G, Hobbs, MJ (2009). Emotional disorders: Cluster 4 of the proposed meta-structure for DSM-V and ICD-11. Psychological Medicine. doi:10.1017/S0033291709990298.Google Scholar
Hall, JR, Bernat, EM, Patrick, CJ (2007). Externalizing psychopathology and the error-related negativity. Psychological Science 18, 326333.Google Scholar
Hicks, BM, Bernat, E, Malone, SM, Iacono, WG, Patrick, CJ, Krueger, RF, McGue, M (2007 a). Genes mediate the association between P3 amplitude and externalizing disorders. Psychophysiology 44, 98105.CrossRefGoogle ScholarPubMed
Hicks, BM, Blonigen, DM, Kramer, MD, Krueger, RF, Patrick, CJ, Iacono, WG, McGue, M (2007 b). Gender differences and developmental change in externalizing disorders from late adolescence to early adulthood: a longitudinal twin study. Journal of Abnormal Psychology 116, 433447.CrossRefGoogle ScholarPubMed
Hyman, SE (2007). Can neuroscience be integrated into DSM-V? Nature Reviews Neuroscience 8, 725732.CrossRefGoogle ScholarPubMed
Iacono, WG, Carlson, SR, Malone, SM, McGue, M (2002). P3 event-related potential amplitude and the risk for disinhibitory disorders in adolescent boys. Archives of General Psychiatry 59, 750757.Google Scholar
Iacono, WG, Malone, SM, McGue, M (2008). Behavioral disinhibition and the development of early-onset addiction: common and specific influences. Annual Review of Clinical Psychology 4, 325348.CrossRefGoogle ScholarPubMed
Jackson, K, Sher, KJ, Wood, P (2000). Trajectories of concurrent substance use disorders: a developmental, typological approach to comorbidity. Alcoholism: Clinical and Experimental Research 24, 902915.CrossRefGoogle ScholarPubMed
Jacobson, KC, Prescott, CA, Kendler, KS (2002). Sex differences in the genetic and environmental influences on the development of antisocial behavior. Development and Psychopathology 14, 395416.CrossRefGoogle ScholarPubMed
James, LM, Taylor, J (2008). Revisiting the structure of mental disorders: borderline personality disorder and the internalizing/externalizing spectra. British Journal of Clinical Psychology 47, 361380.Google Scholar
Kendler, KS, Aggen, SH, Tambs, K, Reichborn-Kjennerud, T (2006). Illicit psychoactive substance use, abuse and dependence in a population-based sample of Norwegian twins. Psychological Medicine 36, 955962.CrossRefGoogle Scholar
Kendler, KS, Prescott, CA, Myers, J, Neale, MC (2003). The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Archives of General Psychiatry 60, 929937.Google Scholar
Kessler, RC, Berglund, P, Demler, O, Jin, R, Merikangas, KR, Walters, EE (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry 62, 593602.CrossRefGoogle ScholarPubMed
Kessler, RC, Coccaro, EF, Fava, M, Jaeger, S, Jin, R, Walters, E (2006). The prevalence and correlates of DSM-IV intermittent explosive disorder in the National Comorbidity Survey Replication. Archives of General Psychiatry 63, 669678.CrossRefGoogle ScholarPubMed
Keyes, MA, Iacono, WG, McGue, M (2007). Early onset problem behavior, young adult psychopathology, and contextual risk. Twin Research and Human Genetics 10, 4553.Google Scholar
Koopmans, JR, Slutske, WS, van Baal, GC, Boomsma, DI (1999). The influence of religion on alcohol use initiation: evidence for genotype×environment interaction. Behavior Genetics 29, 445453.CrossRefGoogle Scholar
Krueger, RF (1999). Personality traits in late adolescence predict mental disorders in early adulthood: a prospective-epidemiological study. Journal of Personality 67, 3965.CrossRefGoogle ScholarPubMed
Krueger, RF (2005). Continuity of axes I and II: toward a unified model of personality, personality disorders, and clinical disorders. Journal of Personality Disorders 19, 233261.CrossRefGoogle Scholar
Krueger, RF, Caspi, A, Moffitt, TE, Silva, PA, McGee, R (1996). Personality traits are differentially linked to mental disorders: a multitrait-multidiagnosis study of an adolescent birth cohort. Journal of Abnormal Psychology 105, 299312.Google Scholar
Krueger, RF, Hicks, BM, Patrick, CJ, Carlson, SR, Iacono, WG, McGue, M (2002). Etiologic connections among substance dependence, antisocial behavior, and personality: modeling the externalizing spectrum. Journal of Abnormal Psychology 111, 411424.CrossRefGoogle ScholarPubMed
Krueger, RF, Markon, KE (2006). Reinterpreting comorbidity: a model-based approach to understanding and classifying psychopathology. Annual Review of Clinical Psychology 2, 111133.CrossRefGoogle ScholarPubMed
Krueger, RF, Markon, KE, Patrick, CJ, Benning, SD, Kramer, M (2007). Linking antisocial behavior, substance use, and personality: an integrative quantitative model of the adult externalizing spectrum. Journal of Abnormal Psychology 116, 645666.CrossRefGoogle ScholarPubMed
Krueger, RF, Markon, KE, Patrick, CJ, Iacono, WG (2005). Externalizing psychopathology in adulthood: a dimensional-spectrum conceptualization and its implications for DSM-V. Journal of Abnormal Psychology 114, 537550.Google Scholar
Legrand, LN, Keyes, M, McGue, M, Iacono, WG (2008). Rural environments reduce the genetic influence on adolescent substance use and rule-breaking behavior. Psychological Medicine 38, 13411350.CrossRefGoogle ScholarPubMed
Legrand, LN, McGue, M, Iacono, WG (1999). Searching for interactive effects in the etiology of early-onset substance use. Behavior Genetics 29, 433444.CrossRefGoogle ScholarPubMed
Lyons, MJ, True, WR, Eisen, SA, Goldberg, J, Meyer, JM, Faraone, SV, Eaves, LJ, Tsuang, MT (1995). Differential heritability of adult and juvenile antisocial traits. Archives of General Psychiatry 52, 906915.Google Scholar
Markon, KE, Krueger, RF, Watson, D (2005). Delineating the structure of normal and abnormal personality: an integrative hierarchical approach. Journal of Personality and Social Psychology 88, 139157.CrossRefGoogle ScholarPubMed
McGue, M, Iacono, WG (2005). The association of early adolescent problem behavior with adult psychopathology. American Journal of Psychiatry 162, 11181124.Google Scholar
McGue, M, Iacono, WG, Krueger, RF (2006). The association of early adolescent problem behavior and adult psychopathology: a multivariate behavioral genetic perspective. Behavior Genetics 36, 591602.Google Scholar
Miller, EK, Cohen, JD (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience 24, 167202.Google Scholar
Miller-Lewis, LR, Baghurst, PA, Sawyer, MG, Prior, MR, Clark, JJ, Arney, FM, Carbone, JA (2006). Early childhood externalising behaviour problems: child, parenting, and family-related predictors over time. Journal of Abnormal Child Psychology 34, 891906.CrossRefGoogle ScholarPubMed
Moffitt, TE, Caspi, A, Rutter, M, Silva, PA (2001). Sex Differences in Antisocial Behaviour. Cambridge University Press: Cambridge, UK.CrossRefGoogle Scholar
Nigg, JT, John, OP, Blaskey, LG, Huang-Pollock, CL, Willcutt, EG, Hinshaw, SP, Pennington, B (2002). Big five dimensions and ADHD symptoms: links between personality traits and clinical symptoms. Journal of Personality and Social Psychology 83, 451469.CrossRefGoogle ScholarPubMed
Palmgreen, P, Lorch, EP, Donohew, L, Harrington, NG, Dsilva, M, Helm, D (1995). Reaching at-risk populations in a mass media drug abuse prevention campaign: sensation seeking as a targeting variable. Drugs and Society 8, 2945.CrossRefGoogle Scholar
Patrick, C, Bernat, E (2006). The construct of emotion as a bridge between personality and psychopathology. In Personality and Psychopathology (ed. Krueger, R. F. and Tackett, J.), pp. 174209. Guilford Press: New York, NY.Google Scholar
Patrick, CJ, Bernat, EM, Malone, SM, Iacono, WG, Krueger, RF, McGue, M (2006). P300 amplitude as an indicator of externalizing in adolescent males. Psychophysiology 43, 8492.CrossRefGoogle ScholarPubMed
Polich, J (2007). Updating P300: an integrative theory of P3a and P3b. Clinical Neurophysiology 118, 21282148.CrossRefGoogle ScholarPubMed
Reif, A, Rosler, M, Freitag, CM, Schneider, M, Eujen, A, Kissling, C, Wenzler, D, Jacob, CP, Retz-Junginger, P, Thome, J, Lesch, K-P, Retz, W (2007). Nature and nurture predispose to violent behavior: serotonergic genes and adverse childhood environment. Neuropsychopharmacology 32, 23752383.CrossRefGoogle ScholarPubMed
Rose, RJ, Dick, DM, Viken, RJ, Kaprio, J (2001). Gene–environment interaction in patterns of adolescent drinking: regional residency moderates longitudinal influences on alcohol use. Alcoholism: Clinical and Experimental Research 25, 637643.Google Scholar
Rutter, M (1979). Protective factors in children's responses to stress and disadvantage. In Vermont Conference on the Primary Prevention of Psychopathology: Social Competence in Children (ed. Kent, M. W. and Rolf, J. E.), 3rd edn, pp. 4974. University of New England Press: Hanover, NH.Google Scholar
Sameroff, AJ (2000). Dialectical processes in developmental psychopathology. In Handbook of Developmental Psychopathology (ed. Sameroff, A., Lewis, M. and Miller, S.), 2nd edn, pp. 2340. Kluwer Academic/Plenum Publishers: New York, NY.Google Scholar
Sher, KJ, Trull, TJ (1994). Personality and disinhibitory psychopathology: alcoholism and antisocial personality disorder. Journal of Abnormal Psychology 103, 92102.Google Scholar
Smith, GT, Fischer, S, Cyders, MA, Annus, AM, Spillane, NS, McCarthy, DM (2007). On the validity and utility of discriminating among impulsivity-like traits. Assessment 14, 155170.Google Scholar
Torgersen, S, Czajkowski, N, Jacobson, K, Reichborn-Kjennerud, T, Roysamb, E, Neale, MC, Kendler, KS (2008). Dimensional representations of DSM-IV cluster B personality disorders in a population-based sample of Norwegian twins: a multivariate study. Psychological Medicine 38, 16171625.Google Scholar
Tsuang, MT, Lyons, MJ, Meyer, JM, Doyle, T, Eisen, SA, Goldberg, J, True, W, Lin, N, Toomey, R, Eaves, L (1998). Co-occurrence of abuse of different drugs in men. The role of drug-specific and shared vulnerabilities. Archives of General Psychiatry 55, 967972.CrossRefGoogle ScholarPubMed
Wittchen, H-U, Fröhlich, C, Behrendt, S, Günther, A, Rehm, J, Zimmermann, P, Lieb, R, Perkonig, A (2007). Cannabis use and cannabis use disorders and their relationship to mental disorders: a 10-year prospective-longitudinal community study in adolescents. Drug and Alcohol Dependence 88 (Suppl. 1), S60S70.Google Scholar
Yoon, HH, Iacono, WG, Malone, SM, McGue, M (2006). Using the brain P300 response to identify novel phenotypes reflecting genetic vulnerability for adolescent substance misuse. Addictive Behaviors 31, 10671087.CrossRefGoogle ScholarPubMed
Young, SE, Stallings, MC, Corley, RP, Krauter, KS, Hewitt, JK (2000). Genetic and environmental influences on behavioral disinhibition. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics 96, 684695.Google Scholar
Zucker, RA (2006). Alcohol use and alcohol use disorders: a developmental-biopsychosocial system formulation covering the life course. In Developmental Psychopathology. Volume 2: Risk, Disorder, and Adaptation (ed. Cicchetti, D. and Cohen, D. J.), pp. 620656. Wiley: New York, NY.Google Scholar