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Understanding adolescent personality pathology from growth trajectories of childhood oddity

Published online by Cambridge University Press:  20 March 2017

Barbara De Clercq*
Affiliation:
Ghent University
Lize Verbeke
Affiliation:
Ghent University
Elien De Caluwé
Affiliation:
Ghent University
Tom Vercruysse
Affiliation:
AZ Sint-Lucas, Belgium
Joeri Hofmans
Affiliation:
Vrije Universiteit
*
Address correspondence and reprint requests to: Barbara De Clercq, Department of Psychology, Ghent University, H Dunantlaan 2, Ghent, Belgium; E-mail: [email protected].

Abstract

Research on developmental trajectories of early maladaptive features for understanding later personality disorders (PDs) is increasingly recognized as an important study area. The course of early odd features is highly relevant in this regard, as only a few researchers have addressed childhood oddity in the context of emerging PDs. Using latent growth modeling, the current study explores growth parameters of odd features in a mixed sample of Flemish community and referred children (N = 485) across three measurement waves with 1-year time intervals. Personality pathology was assessed at a fourth assessment point in adolescence. Beyond a general declining trend in oddity characteristics, the results demonstrated that both an early onset and an increasing trend of oddity-related characteristics over time are independent predictors of adolescent PDs. Childhood oddity tends to be the most manifest precursor for PDs with a core oddity feature (i.e., the schizotypal and borderline PD), but also appears to predict most of the other DSM-5 PDs. Results are discussed from an overarching developmental framework on PDs (Cicchetti, 2014), specifically focusing on the principle of multifinality. From a clinical perspective, the significance of increasing or steady-high childhood oddity trajectories for adolescent PDs highlights the relevance of systematic screening processes across time.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2017 

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Footnotes

The authors thank all participating families for their enduring effort and acknowledge the three reviewers for their constructive and useful comments on a previous version of this paper.

References

Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA school-age forms and profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, and Families.Google Scholar
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author.Google Scholar
Asarnow, J. R. (2005). Childhood-onset schizotypal disorder: A follow-up study and comparison with childhood-onset schizophrenia. Journal of Child and Adolescent Psychopharmacology, 15, 395402. doi:10.1089/cap.2005.15.39 CrossRefGoogle ScholarPubMed
Bartels-Velthuis, A. A., van deWillige, G., Jenner, J. A., Van Os, J., & Wiersma, D. (2011). Course of auditory vocal hallucinations in childhood: 5-year follow-up study. British Journal of Psychiatry, 199, 296302.CrossRefGoogle ScholarPubMed
Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods and Research, 17, 303316.Google Scholar
Caplan, R., & Guthrie, D. (1992). Communication deficits in childhood schizotypal personality disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 31, 961967.Google Scholar
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233255.Google Scholar
Cicchetti, D. (2014). Illustrative developmental psychopathology perspectives on precursors and pathways to personality disorder. Journal of Personality Disorders, 28, 172179.Google Scholar
Cicchetti, D., & Rogosch, F. A. (1996). Equifinality and multifinality in developmental psychopathology. Development and Psychopathology, 8, 597600.Google Scholar
Debanné, M., & Barrantes-Vidal, N. (2015). Schizotypy from a developmental perspective. Schizophrenia Bulletin, 41, 386395. doi:10.1093/schbul/sbu175 Google Scholar
De Bolle, M., Beyers, W., De Clercq, B., & De Fruyt, F. (2012). General personality and psychopathology in referred and nonreferred children and adolescents: An investigation of continuity, pathoplasty, and complication models. Journal of Abnormal Psychology, 121, 958970. doi:10.1037/a0027742 Google Scholar
De Caluwé, E., De Clercq, B., De Bolle, M., & De Wolf, T. (2014). A general and maladaptive personality perspective on youth obsessive-compulsive symptoms. Journal of Personality Assessment, 96, 495502.Google Scholar
De Caluwé, E., Verbeke, L., van Aken, M., Van der Heijden, P. T., & De Clercq, B. (2017). The DSM-5 trait measure in psychiatric late-adolescents and emerging adults: Structure, reliability and validity. Manuscript submitted for publication.Google Scholar
De Clercq, B., De Fruyt, F., De Bolle, M., Van Hiel, A., Markon, K. E., & Krueger, R. F. (2014). The hierarchical structure and construct validity of DSM-5 personality traits in adolescence. Journal of Personality, 82, 158169. doi:10.1111/jopy.12042 Google Scholar
De Clercq, B., De Fruyt, F., & Van Leeuwen, K. G. (2004). A “little five” lexically based perspective on personality disorders in adolescence. Journal of Personality Disorders, 18, 479499.CrossRefGoogle Scholar
De Clercq, B., De Fruyt, F., & Widiger, T. A. (2009). Integrating a developmental perspective in dimensional models of personality disorders. Clinical Psychology Review, 29, 154162.Google Scholar
De Fruyt, F., De Clercq, B., De Bolle, M., Wille, B., Markon, K., & Krueger, R. F. (2013). General and maladaptive traits in a five-factor framework for DSM-5 in a university student sample. Assessment, 20, 295307. doi:10.1177/1073191113475808 CrossRefGoogle Scholar
De Loore, E., Gunther, N., Drukker, M., Feron, F., Sabbe, B., Deboutte, D., … Myin-Germeys, I. (2011). Persistence and outcome of auditory hallucinations in adolescence: A longitudinal general population study of 1800 individuals. Schizophrenia Research, 127, 252256.CrossRefGoogle ScholarPubMed
Dhossche, D., Ferdinand, R., Van der Ende, J., Hofstra, M. B., & Verhulst, F. (2002). Diagnostic outcome of self-reported hallucinations in a community sample of adolescents. Psychological Medicine, 32, 619627.Google Scholar
Dominguez, M. D., Wichers, M., Lieb, R., Wittchen, H. U., & Van Os, J. (2011). Evidence that onset of clinical psychosis is an outcome of progressively more persistent subclinical psychotic experiences: An 8-year cohort study. Schizophrenia Bulletin, 37, 8493.CrossRefGoogle ScholarPubMed
Escher, S., Delespaul, P., Romme, M., Buiks, A., & Van Os, J. (2003). Coping defence and depression in adolescents hearing voices. Journal of Mental Health, 12, 9199.Google Scholar
Esterberg, M. L, Goulding, S. M., & Walker, E. F. (2010). Cluster A personality disorders: Schizotypal, schizoid and paranoid personality disorders in childhood and adolescence. Journal of Psychopathology and Behavioral Assessment, 32, 515528. doi:10.1007/s10862-010-9183-8 CrossRefGoogle Scholar
Fagel, S., de Sonneville, L., van Engeland, H., & Swaab, H. (2014). School-associated problem behavior in childhood and adolescence and development of adult schizotypal symptoms: A follow-up of a clinical cohort. Journal of Abnormal Child Psychology, 42, 813823. doi:10.1007/s10802-013-9829-6 Google Scholar
Flora, D. B., & Curran, P. J. (2014). An empirical evaluation of alternative models of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 466491.CrossRefGoogle Scholar
Frick, P. J., Cornell, A. H., Bodin, S. D., Dane, H. A., Barry, C. T., & Loney, B. R. (2003). Callous-unemotional traits and developmental pathways to severe conduct problems. Developmental Psychology, 39, 246260.CrossRefGoogle ScholarPubMed
Griffin, S. A., & Samuel, D. B. (2014). A closer look at the lower-order structure of the Personality Inventory for DSM-5: Comparison with the five-factor model. Personality Disorders: Theory, Research and Treatment, 5, 406412. doi:10.1037/per0000074 CrossRefGoogle Scholar
Hopwood, C. J., Thomas, K. M., Markon, K. E., Wright, A. G. C., & Krueger, R. F. (2012). DSM-5 personality traits and DSM-IV personality disorders. Journal of Abnormal Psychology, 121, 424432. doi:10.1037/a0026656 CrossRefGoogle ScholarPubMed
Jones, H. P., Testa, R. R., Ross, N., Seal, M. L., Pantelis, C., & Tonge, B. (2015). The Melbourne Assessment of schizotypy in kids: A useful measure of childhood schizotypal personality disorder. Biomed Research International. Advance online publication. doi:10.1155/2015/635732 Google Scholar
Kelleher, I., Connor, D., Clarke, M. C., Devlin, N., Harley, M., & Cannon, M. (2012). Prevalence of psychotic symptoms in childhood and adolescence: A systematic review and meta-analysis of population-based studies. Psychological Medicine, 42, 18571863. doi:10.1017/S0033291711002960 Google Scholar
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford Press.Google Scholar
Kongerslev, M. T., Chanen, A. M., & Simonsen, E. (2015). Personality disorder in childhood and adolescence comes of age: A review of the current evidence and prospects for future research. Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, 3, 3148.Google Scholar
Krueger, R. F., Derringer, J., Markon, K. E., Watson, D., & Skodol, A. E. (2012). Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychological Medicine, 42, 18791890. doi:10.1017/S0033291711002674 Google Scholar
Mackie, C. J., Castellanos-Ryan, N., & Conrod, P. J. (2011). Developmental trajectories of psychotic-like experiences across adolescence: Impact of victimization and substance use. Psychological Medicine, 41, 4758.Google Scholar
McGee, R., Williams, S., & Poulton, R. (2000). Hallucinations in nonpsychotic children. Journal of the American Academy of Child & Adolescent Psychiatry, 39, 1213.CrossRefGoogle ScholarPubMed
Mick, E., Biederman, J., Pandina, G., & Faraone, S. V. (2003). A preliminary meta-analysis of the child behavior checklist in pediatric bipolar disorder. Biological Psychiatry, 53, 10211027. doi:10.1016/s0006-3223(03)00234-8 CrossRefGoogle ScholarPubMed
Millsap, R. E., & Yun-Tein, J. (2004). Assessing factorial invariance in ordered-categorical measures. Multivariate Behavioral Research, 39, 479515.Google Scholar
Muthén, L., & Muthén, B. (2014). Mplus user's guide. Los Angeles: Author.Google Scholar
Nagy, J., & Szatmari, P. (1986). A chart review of schizotypal personality disorders in children. Journal of Autism and Developmental Disorders, 16, 351367.Google Scholar
Newsom, J. T. (2015). Longitudinal structural equation modeling: A comprehensive introduction. New York: Routledge.Google Scholar
Roberts, E., Garralda, S., & Renfrew, D. (2001). Schizotypal disorder among child and adolescent mental health services users. Journal of the American Academy of Child & Adolescent Psychiatry, 40, 13662001.Google Scholar
Roskam, I., Galdiolo, S., Hansenne, M., Massoudi, K., Rossier, J., Gicquel, L., & Rolland, J. P. (2015). The psychometric properties of the French version of the Personality Inventory for DSM-5. PLOS ONE. Advance online publication. doi:10.1371/journal.pone.0133413 CrossRefGoogle ScholarPubMed
Shiner, R. L., & Allen, T. A. (2008). Assessing personality disorders in adolescents: Seven guiding principles. Clinical Psychology Science and Practice, 20, 361377. doi:10.1111/cpsp.12047 Google Scholar
Tackett, J. L. (2006). Evaluating models of the personality-psychopathology relationship in children and adolescents. Clinical Psychology Review, 26, 584599.CrossRefGoogle ScholarPubMed
Tackett, J. L., Silberschmidt, A., Krueger, R. F., & Sponheim, S. (2008). A dimensional model of personality disorder: Incorporating Cluster A characteristics. Journal of Abnormal Psychology, 117, 454459.Google Scholar
Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 470. doi:10.1177/109442810031002 Google Scholar
Van den Broeck, J., Bastiaansen, L., Rossi, G., Dierckx, E., de Clercq, B., & Hofmans, J. (2014). Hierarchical structure of maladaptive personality traits in older adults: Joint factor analysis of the PID-5 and the DAPP-BQ. Journal of Personality Disorders, 28, 198211.Google Scholar
Van Os, J., Linscott, R. J., Myin-Germeys, I., Delespaul, P., & Krabbendam, L. (2009). A systematic review and meta-analysis of the psychosis continuum: Evidence for a psychosis proneness-persistence-impairment model of psychotic disorder. Psychological Medicine, 39, 179195. doi:10.1017/S0033291708003814 Google Scholar
Verbeke, L., De Caluwé, E., & De Clercq, B. (2016). A five-factor model of developmental personality pathology precursors. Personality Disorders: Theory, Research and Treatment. Advance online publication. doi:10.1037/per0000178 Google Scholar
Verbeke, L., & De Clercq, B. (2014). Integrating oddity traits in a dimensional model for personality pathology precursors. Journal of Abnormal Psychology, 123, 598612.Google Scholar
Verhulst, F. C., & Van der Ende, J. (2001). Handleiding voor de CBCL/ 6–18, YSR en TRF (Dutch manual for CBCL/6–18, YSR, and TRF). Rotterdam: Erasmus.Google Scholar
Widiger, T. A., & Trull, T. J. (2007). Plate tectonics in the classification of personality disorder—Shifting to a dimensional model. American Psychologist, 62, 7183.Google Scholar
Wolff, S. (1991). “Schizoid” personality in childhood and adult life: III. The childhood picture. British Journal of Psychiatry, 159, 629635. doi:10.1192/bjp.159.5.629 Google Scholar
Wood, P. K., & Jackson, K. M. (2013). Escaping the snare of chronological growth and launching a free curve alternative: General deviance as latent growth model. Development and Psychopathology, 25, 739754.Google Scholar
Wood, P. K., Steinley, D., & Jackson, K. M. (2015). Right-sizing statistical models for longitudinal data. Psychological Methods, 20, 470488.Google Scholar
Woolley, J. D. (1997). Thinking about fantasy: Are children fundamentally different thinkers and believers from adults? Child Development, 68, 9911011.Google Scholar
Wright, A. G. C., Thomas, K. M., Hopwood, C. J., Markon, K. E., Pincus, A. L., & Krueger, R. F. (2012). The hierarchical structure of DSM-5 pathological personality traits. Journal of Abnormal Psychology, 121, 951957. doi:10.1037/a0027669 Google Scholar
Yoshizumi, T., Murase, S., Honjo, S., Kaneko, H., & Murakami, T. (2004). Hallucinatory experiences in a community sample of Japanese children. Journal of the American Academy of Child & Adolescent Psychiatry, 43, 10301036.Google Scholar