Longitudinal Profiles of Girls’ Irritable, Defiant and Antagonistic Oppositional Symptoms: Evidence for Group Based Differences in Symptom Severity
- 379 Downloads
Three subdimensions of ODD symptoms have been proposed –angry/irritable (IR), argumentative/defiant (DF) and antagonism (AN). This study tested whether longitudinal symptom trajectories could be identified by these subdimensions. Group-based trajectory analysis was used to identify developmental trajectories of IR, DF and AN symptoms. Multi-group trajectory analysis was then used to identify how subdimension trajectories were linked together over time. Data were drawn from the Pittsburgh Girls Study (PGS; N = 2450), an urban community sample of girls between the ages of five--eight at baseline. We included five waves of annual data across ages five-13 to model trajectories. Three trajectories were identified for each ODD subdimension: DF and AN were characterized by high, medium and low severity groups; IR was characterized by low, medium stable, and high increasing groups. Multi-trajectory analysis confirmed these subdimensions were best linked together based on symptom severity. We did not identify girls’ trajectory groups that were characterized predominantly by a particular subdimension of ODD symptoms. Membership in more severe symptom groups was significantly associated with worse outcomes five years later. In childhood and early adolescence girls with high levels of ODD symptoms can be identified, and these youth are characterized by a persistently elevated profile of IR, DF and AN symptoms. Further studies in clinical samples are required to examine the ICD-10 proposal that ODD with irritability is a distinct or more severe form of ODD.
KeywordsOppositional Trajectory Girls Longitudinal
Special thanks to our dedicated research team, and to the participants for their many contributions to this study.
Compliance with Ethical Standards
The Pittsburgh Girls Study was funded by the National Institute of Mental Health (R01 MH056630), the FISA Foundation and the Falk Fund. The manuscript preparation was supported by an early career award to Dr. Boylan from the Hamilton Health Sciences Foundation, and a grant to Dr. Burke (MH095969) from the National Institute of Mental Health (NIMH).
Conflicts of Interest
Drs Boylan, Rowe, Duku, Waldman, Stepp, Hipwell and Burke have no conflicts of interest.
All procedures performed in this study were in accordance with the ethical standards of the instutitional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all individual participants included in this study.
- American Psychiatric Association: Diagnostic and statistical manual of mental disorders. (2013). (Fifth ed.). Arlington, VA: American Psychiatric Association.Google Scholar
- Birmaher, B., Khetarpal, S., Brent, D., Cully, M., Balach, L., Kaufman, J., & McKenzie Neer, S. (1997). The screen for child anxiety related emotional disorders (SCARED): scale construction and psychometric characteristics. Journal of the American Academy of Child and Adolescent Psychiatry, 36, 545–553.CrossRefPubMedGoogle Scholar
- Burke, J., & Loeber, R. (2010). Oppositional defiant disorder and the explanation of the comorbidity between behavioral disorders and depression. Clinical Psychology: Science and Practice, 17, 319–326.Google Scholar
- Gadow, K. D., & Sprafkin, J. (1994). Child symptom inventories manual. Stony Brook: Checkmate Plus. 53, 1128–1138.Google Scholar
- Gadow, K. D. &, Drabick, D. A. (2012). Anger and irritability symptoms among youth with ODD: cross-informant versus source-exclusive syndromes. Journal of Abnormal Child Psychology, 40, 1073–85.Google Scholar
- Jensen, P. S., Rubio-Stipec, M., Canino, G., Bird, H. R., Dulcan, M. K., Schwab-Stone, M. E., & Lahey, B. B. (1999). Parent and child contributions to diagnosis of mental disorder: are both informants always necessary? Journal of the American Academy of Child and Adolescent Psychiatry, 38, 1569–1579.CrossRefPubMedGoogle Scholar
- Jung, T., & Wickrama, T. A. S. (2008). An introduction to latent class growth analysis and growth mixture modelling. Social and Personality Psychology, 2, 302–317.Google Scholar
- Kuny, A. V., Althoff, R. R., Copeland, W., Bartels, M., Van Beijsterveldt, C. E. M., Baer, J., & Hudziak, J. J. (2013). Separating the domains of oppositional behavior: comparing latent models of the conners’ oppositional subscale. Journal of the American Academy of Child and Adolescent Psychiatry, 52, 172.CrossRefPubMedPubMedCentralGoogle Scholar
- Lochman, J. E., Evans, S. C., Burke, J. D., Roberts, M. C., Fite, P. J., Reed, G. M., de la la Peña, F. R., Matthys, W., Ezpeleta, L., Siddiqui, S., & Elena Garralda, M. (2015). An empirically based alternative to DSM-5’s disruptive mood dysregulation disorder for ICD-11. World Psychiatry, 14, 30–33.CrossRefPubMedPubMedCentralGoogle Scholar