4.5 Article

Changes in General and Specific Psychopathology Factors Over a Psychosocial Intervention

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jaac.2018.11.011

Keywords

bi-factor; p factor; general psychopathology; psychotherapy; intervention

Funding

  1. UK Medical Research Council [MR/J500422/1]
  2. Department for Children, Schools, and Families
  3. Department of Health and Social Care

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Objective: Recent research suggests that comorbidiry in child and adolescent psychiatric symptoms can be summarized by a single latent dimension known as the p factor and more specific factors summarizing clusters of symptoms. This study investigated within- and between-person changes in general and specific psychopathology factors over a psychosocial intervention. Method: A secondary analysis was conducted of the Systemic Therapy for At-Risk Teens study, a pragmatic randomized controlled trial that compared the effects of multisystemic therapy with those of management as usual for decreasing antisocial behavior in 684 adolescents (82% boys; 11-18 years old at baseline) over an 18-month period. The general p factor and specific antisocial, attention, anxiety, and mood factors were estimated from a symptom-level analysis of a set of narrowband symptom scales measured repeatedly during the study. General and specific psychopathology factors were assessed for reliability, validity, and within- and berween-person change using a parallel process multilevel growth model. Results: A revised bi-factor model that included a general p factor and specific anxiety, mood, antisocial, and attention factors with cross-loadings fit the data best. Although the factor structure was multidimensional, the p factor accounted for most of the variance in total scores. The p factor, anxiety, and antisocial factors predicted within-person variation in external outcomes. Furthermore, the p factor and antisocial factors showed within-person declines, whereas anxiety showed within-person increases, over time. Despite individual variation in baseline factor scores, adolescents showed similar rates of change. Conclusion: The bi-factor model is useful for teasing apart general and specific therapeutic changes that are conflated in standard analyses of symptom scores.

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