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Evidence for the taxonic latent structure for DSM-5 intermittent explosive disorder in adults

Published online by Cambridge University Press:  04 November 2019

Jennifer R. Fanning ,
David K. Marcus ,
Jonathan R. Preszler  and
Emil F. Coccaro Open the ORCID record for Emil F. Coccaro [Opens in a new window]
Jennifer R. Fanning
Affiliation:
Center for Depression, Anxiety and Stress Research, McLean Hospital, Harvard Medical School, Belmont, MA02478, USA
David K. Marcus
Affiliation:
Department of Psychology, Washington State University, Pullman, WA99164, USA
Jonathan R. Preszler
Affiliation:
Department of Psychology, Washington State University, Pullman, WA99164, USA
Emil F. Coccaro*
Affiliation:
Department of Psychiatry & Behavioral Neuroscience, University of Chicago, Chicago, IL60637, USA
*
Author for correspondence: Emil F. Coccaro, E-mail: [email protected]
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Abstract

Background

Identification of individuals with clinically significant aggressive behavior is critical for the prevention and management of human aggressive behavior. A previous population-based taxometric study reported that the Diagnostic and Statistical Manual of Mental Disorders-4th Edition (DSM-IV) intermittent explosive disorder (IED) belongs to its own discrete class (taxon) rather than existing along a continuum.

Methods

This study sought to extend previous population-based findings in a clinical research sample of adults with DSM-5 IED (n = 346), adults with non-aggressive DSM-5 disorders (n = 293), and adults without any DSM-5 disorder (n = 174), using standardized assessments of DSM-5 diagnoses, aggression, and other related measures not available in past studies.

Results

Analyses revealed a taxonic latent structure that overlapped with the DSM-5 diagnosis of IED. Within the sample, taxon group members had higher scores on a variety of measures of psychopathology than did the complement members of the sample. Comorbidity of other diagnoses with IED did not affect these results.

Conclusion

These findings support the proposition that DSM-5 IED represents a distinct behavioral disorder rather than the severe end of an aggressive behavior continuum.

Keywords

Aggressionintermittent explosive disorderlatent structuretaxometric analysis
Type
Original Articles
Information
Psychological Medicine , Volume 51 , Issue 1 , January 2021 , pp. 54 - 61
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Copyright
Copyright © Cambridge University Press 2019

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References

Ahmed, AO, Green, BA, McCloskey, MS and Berman, ME (2010) Latent structure of intermittent explosive disorder in an epidemiological sample. Journal of Psychiatric Research 44, 663–672.CrossRefGoogle Scholar
American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders-5th Edition (DSM-5). Washington, DC: American Psychiatric Association.Google Scholar
Arntz, A, Bernstein, D, Gielen, D, van Nieuwenhuyzen, M, Penders, K, Haslam, N and Ruscio, J (2009) Taxometric evidence for the dimensional structure of Cluster-C, paranoid, and borderline personality disorders. Journal of Personality Disorders 23, 606–628.CrossRefGoogle ScholarPubMed
Barratt, ES, Stanford, MS, Dowdy, L, Liebman, MJ and Kent, TA (1999) Impulsive and premeditated aggression: a factor analysis of self- reported acts. Psychiatry Research 86, 163–173.CrossRefGoogle ScholarPubMed
Barry, TD, Marcus, DK, Barry, CT and Coccaro, EF (2013) The latent structure of oppositional defiant disorder in children and adults. Journal of Psychiatric Research 47, 1932–1939.CrossRefGoogle ScholarPubMed
Beck, AT and Steer, RA (1993) Beck Anxiety Inventory Manual. San Antonio, TX: Harcourt Brace and Company.Google Scholar
Beck, AT, Steer, RA and Brown, GK (1996) Beck Depression Inventory Manual (BDI-II). San Antonio, TX: Psychological Corp.Google Scholar
Broidy, LM, Tremblay, RE, Brame, B, Fergusson, D, Horwood, JL, Laird, R, Moffitt, TE, Nagin, DS, Bates, JE, Dodge, KA, Lynam, DR, Pettit, GS and Vitaro, F (2003) Developmental trajectories of childhood disruptive behaviors and adolescent delinquency: a six-site, cross-national study. Developmental Psychology 39, 222–245.CrossRefGoogle ScholarPubMed
Burt, SA (2009) Are there meaningful etiological differences within antisocial behavior? Results of a meta-analysis. Clinical Psychology Review 29, 163–178.CrossRefGoogle ScholarPubMed
Burt, SA (2012) How do we optimally conceptualize the heterogeneity within antisocial behavior? An argument for aggressive versus non-aggressive behavioral dimensions. Clinical Psychology Review 32, 263–279.CrossRefGoogle ScholarPubMed
Burt, SA and Neiderhiser, JM (2009) Aggressive versus nonaggressive antisocial behavior: distinctive etiological moderation by age. Developmental Psychology 45, 1164–1176.CrossRefGoogle ScholarPubMed
Buss, AH and Perry, M (1992) The Aggression Questionnaire (BPAQ). Personality Processes and Individual Differences 63, 452–459.Google Scholar
Coccaro, EF and Schmidt-Kaplan, CA (2012) Life history of impulsive behavior: development and validation of a new questionnaire. Journal of Psychiatric Research 46, 346–352.CrossRefGoogle ScholarPubMed
Coccaro, EF and McCloskey, MS (2019) Phenomenology of impulsive aggression and intermittent explosive disorder. In Coccaro, EF and McCloskey, MS (eds), Intermittent Explosive Disorder: Etiology, Assessment and Treatment. London, UK: Academic Press, pp. 37–65.CrossRefGoogle Scholar
Coccaro, EF, Berman, ME and Kavoussi, RJ (1997) Assessment of life history of aggression: development and psychometric characteristics. Psychiatry Research 73, 147–157.CrossRefGoogle ScholarPubMed
Coccaro, EF, McCloskey, MS, Fitzgerald, DA and Phan, LP (2007) Amygdala and orbitofrontal reactivity to social threat in individuals with impulsive aggression. Biological Psychiatry 62, 168–178.CrossRefGoogle ScholarPubMed
Coccaro, EF, Fanning, JR, Keedy, SK and Lee, RJ (2016) Social cognition in intermittent explosive disorder and aggression. Journal of Psychiatric Research 83, 140–150.CrossRefGoogle ScholarPubMed
Coccaro, EF, Lee, RJ and McCloskey, MS (2019) Clinical approach and assessment of intermittent explosive disorder. In Coccaro, EF and McCloskey, MS (eds), Intermittent Explosive Disorder: Etiology, Assessment and Treatment. London, UK: Academic Press.Google Scholar
Coghill, D and Sonuga-Barke, EJS (2012) Annual research review: categories versus dimensions in the classification and conceptualisation of child and adolescent mental disorders – Implications of recent empirical study. Journal of Child Psychology and Psychiatry and Allied Disciplines 53, 469–489.CrossRefGoogle ScholarPubMed
Cote, SM, Vaillancourt, T, LeBlanc, JC, Nagin, DS and Tremblay, RE (2006) The development of physical aggression from toddlerhood to pre-adolescence: a nation wide longitudinal study of Canadian children. Journal of Abnormal Child Psychology 34, 71–85.CrossRefGoogle ScholarPubMed
Edens, JF, Marcus, DK, Lilienfeld, SO and Poythress, NG (2006) Psychopathic, not psychopath: Taxometric evidence for the dimensional structure of psychopathy. Journal of Abnormal Psychology 115, 131–144.CrossRefGoogle Scholar
Edens, JF, Marcus, DK and Ruiz, MA (2008) Taxometric analyses of borderline personality features in a large-scale male and female offender sample. Journal of Abnormal Psychology 117, 705–711.CrossRefGoogle Scholar
Fanning, JR, Berman, ME and Long, JM (2014) P3 and provoked aggressive behavior. Social Neuroscience 9, 118–129.CrossRefGoogle ScholarPubMed
First, M, Spitzer, R, Gibbon, M and Williams, J (1997) Structured Clinical Interview for DSM-IV Axis I Disorders. Washington, DC: American Psychiatric Press.Google Scholar
Guay, JP, Ruscio, J, Knight, RA and Hare, RD (2007) A taxometric analysis of the latent structure of psychopathy: evidence for dimensionality. Journal of Abnormal Psychology 116, 701–716.CrossRefGoogle ScholarPubMed
Haslam, N (2018) Unicorns, snarks, and personality types: a review of the first 102 taxometric studies of personality. Australian Journal of Psychology 71, 39–49.CrossRefGoogle Scholar
Haslam, N, Holland, E and Kuppens, P (2012) Categories versus dimensions in personality and psychopathology: a quantitative review of taxometric research. Psychological Medicine 42, 903–920.CrossRefGoogle ScholarPubMed
Herpers, PCM, Klip, H, Rommelse, NNJ, Taylor, MJ, Greven, CU and Buitelaar, JK (2017) Taxometric analyses and predictive accuracy of callous-unemotional traits regarding quality of life and behavior problems in non-conduct disorder diagnoses. Psychiatry Research 253, 351–359.CrossRefGoogle ScholarPubMed
Hinshaw, SP, Lahey, BB and Hart, EL (1993) Issues of taxonomy and comorbidity in the development of conduct disorder. Development and Psychopathology 5, 31–49.CrossRefGoogle Scholar
Hopwood, CJ, Burt, SA, Markowitz, JC, Yen, S, Shea, MT, Sanislow, CA, Grilo, CM, Ansell, EB, McGlashan, TH, Gunderson, JG, Zanarini, MC, Skodol, AE and Morey, LC (2009) The construct validity of rule breaking and aggression in an adult clinical sample. Journal of Psychiatric Research 43, 803–808.CrossRefGoogle Scholar
Krueger, RF, Markon, KE, Patrick, CJ and Iacono, WG (2005) Externalizing psychopathology in adulthood: a dimensional-spectrum conceptualization and its implications for DSM-V. Journal of Abnormal Psychology 114, 537–550.CrossRefGoogle ScholarPubMed
Krug, EG, Dahlberg, LL, Mercy, JA, Zwi, AB and Lozano, R (2002) World Report on Violence and Health. Geneva: World Health Organization.CrossRefGoogle ScholarPubMed
Kulper, DA, Kleiman, EM, McCloskey, MS, Berman, ME and Coccaro, EF (2015) The experience of aggressive outbursts in Intermittent Explosive Disorder. Psychiatry Research 28, 710–715.CrossRefGoogle Scholar
Lubke, GH and Miller, PJ (2015) Does nature have joints worth carving? A discussion of taxometrics, model-based clustering and latent variable mixture modeling. Psychological Medicine 45, 705–715.CrossRefGoogle ScholarPubMed
Marcus, DK and Barry, TD (2011) Does attention-deficit/hyperactivity disorder have a dimensional latent structure? A taxometric analysis. Journal of Abnormal Psychology 120, 427–442.CrossRefGoogle ScholarPubMed
Marcus, DK and Norris, AL (2018) Taxometric analysis. In Zeigler-Hill, V and Shackelford, TK (eds), The SAGE Handbook of Personality and Individual Differences: The Science of Personality and Individual Differences. Thousand Oaks, CA: SAGE Publications, pp. 485–502.CrossRefGoogle Scholar
Marcus, DK, John, SL and Edens, JF (2004) A taxometric analysis of psychopathic personality. Journal of Abnormal Psychology 113, 626–635.CrossRefGoogle ScholarPubMed
Marcus, DK, Lilienfeld, SO, Edens, JF and Poythress, NG (2006) Is antisocial personality disorder continuous or categorical? A taxometric analysis. Psychological Medicine 36, 1571–1581.CrossRefGoogle ScholarPubMed
Meehl, PE (1986) Diagnostic taxa as open concepts: metatheoretical and statistical questions about reliability and construct validity in the grand strategy of nosological revision. In Millon, T and Klerman, GL (eds), Contemporary Directions in Psychopathology: Toward the DSM-IV. New York, NY: The Guilford Press, pp. 215–231.Google Scholar
Meehl, PE (1995) Bootstrap taxometrics: solving the classification problem in psychopathology. American Psychologist 50, 266–275.CrossRefGoogle Scholar
Meehl, PE and Yonce, LJ (1994) Taxometric analysis: I. Detecting taxonicity with two quantitative indicators using means above and below a sliding cut (MAMBAC procedure). Psychological Reports 74, 1059–1274.Google Scholar
Murrie, DC, Marcus, DK, Douglas, KS, Lee, Z, Salekin, RT and Vincent, G (2007) Youth with psychopathy features are not a discrete class: a taxometric analysis. Journal of Child Psychology and Psychiatry 48, 714–723.CrossRefGoogle Scholar
Nagin, D and Tremblay, RE (1999) Trajectories of boys’ physical aggression, opposition, and hyperactivity on the path to physically violent and nonviolent juvenile delinquency. Child Development 70, 1181–1196.CrossRefGoogle ScholarPubMed
Patton, JH, Stanford, MS and Barratt, ES (1995) Factor structure of the Barratt Impulsiveness Scale. Journal of Clinical Psychology 51, 768–774.3.0.CO;2-1>CrossRefGoogle ScholarPubMed
Pfohl, B, Blum, N and Zimmerman, M (1997) Structured Interview for DSM-IV Personality (SIDP-IV). Washington, DC: American Psychiatric Press.Google Scholar
Rosenberg, JM, van Lissa, CJ, Beymer, PN, Anderson, DJ, Schell, MJ and Schmidt, JA (2019) tidyLPA: Easily carry out Latent Profile Analysis (LPA) using open-source or commercial software [R package]. Available at https://data-edu.github.io/tidyLPA/.CrossRefGoogle Scholar
Rothschild, L, Cleland, C, Haslam, N and Zimmerman, M (2003) A taxometric study of borderline personality disorder. Journal of Abnormal Psychology 112, 657–666.CrossRefGoogle ScholarPubMed
Ruscio, J (2009) Assigning cases to groups using taxometric results: an empirical comparison of classification techniques. Assessment 16, 55–70.CrossRefGoogle ScholarPubMed
Ruscio, J and Ruscio, AM (2004) Clarifying boundary issues in psychopathology: the role of taxometrics in a comprehensive program of structural research. Journal of Abnormal Psychology 113, 24–38.CrossRefGoogle Scholar
Ruscio, J and Wang, SB (2017) RTaxometrics: Taxometric analysis. R package version 2.3. Available at https://CRAN.R-project.org/package=RTaxometrics.Google Scholar
Ruscio, J, Ruscio, AM and Meron, M (2007) Applying the bootstrap to taxometric analysis: generating empirical sampling distributions to help interpret results. Multivariate Behavioral Research 42, 349–386.CrossRefGoogle ScholarPubMed
Ruscio, J, Walters, GD, Marcus, DK and Kaczetow, W (2010) Comparing the relative fit of categorical and dimensional latent variable models using consistency tests. Psychological Assessment 22, 5–21.CrossRefGoogle ScholarPubMed
Ruscio, J, Carney, LM, Dever, L, Pliskin, M and Wang, SB (2018) Using the Comparison Curve Fit Index (CCFI) in taxometric analyses: averaging curves, standard errors, and CCFI profiles. Psychological Assessment 30, 744–754.CrossRefGoogle ScholarPubMed
Stevanovic, D (2011) Quality of life enjoyment and satisfaction questionnaire - short form for quality of life assessments in clinical practice: a psychometric study. Journal of Psychiatric and Mental Health Nursing 18, 744–750.CrossRefGoogle ScholarPubMed
Tremblay, RE (2003) Why socialization fails: the case of chronic physical aggression. In Lahey, B, Moffitt, T and Caspi, A (eds), Causes of Conduct Disorder and Juvenile Delinquency. New York, NY: The Guilford Press, pp. 182–224.Google Scholar
Tremblay, RE, Nagin, DS, Seguin, JR, Zoccolillo, M, Zelazo, PD, Boivin, M, Perusse, D and Japel, C (2004) Physical aggression during early childhood: trajectories and predictors. Pediatrics 1, 43–50.CrossRefGoogle Scholar
Waller, NG and Meehl, PE (1998) Multivariate Taxometric Procedures: Distinguishing Types From continua. Newbury Park, CA: Sage.Google Scholar
Walters, GD (2012) Taxometrics and criminal justice: assessing the latent structure of crime-related constructs. Journal of Criminal Justice 40, 10–20.CrossRefGoogle Scholar
Walters, GD, Diamond, PM, Magaletta, PR, Geyer, MD and Duncan, SA (2007) Taxometric analysis of the antisocial features scale of the personality assessment inventory in federal prison inmates. Assessment 14, 351–360.CrossRefGoogle ScholarPubMed
Walters, GD, Ronen, T and Rosenbaum, M (2010) The latent structure of childhood aggression: a taxometric analysis of self-reported and teacher-rated aggression in Israeli schoolchildren. Psychological Assessment 22, 628–637.CrossRefGoogle ScholarPubMed