Mechanisms of cognitive-behavioral therapy effects on symptoms of body dysmorphic disorder: a network intervention

Emily E Bernstein1, Katharine A Phillips2,3, Jennifer L Greenberg1

  • 1Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

PubMed
Abstract

Insights

Cognitive-behavioral therapy (CBT) and supportive psychotherapy (SPT) for body dysmorphic disorder (BDD) affect different symptoms. CBT targets cognitive and behavioral aspects, while SPT improves insight, guiding future treatment refinements.

Area of Science:

  • Psychiatry
  • Clinical Psychology
  • Mental Health Research

Background:

  • Body dysmorphic disorder (BDD) is a severe mental health condition.
  • Cognitive-behavioral therapy (CBT) is the primary treatment, but its mechanisms are not fully understood.
  • Limited research exists on the specific effects of CBT and supportive psychotherapy (SPT) on BDD symptoms.

Purpose of the Study:

  • To investigate the differential symptom-level effects of CBT and SPT in a large trial for BDD.
  • To explore the time course of treatment effects for both interventions.
  • To understand the precise pathways through which CBT and SPT impact BDD.

Main Methods:

  • Re-analysis of a large clinical trial (n=120) comparing CBT and SPT for BDD.
  • Utilized network intervention analyses and mixed graphical models.
  • Examined symptom-level data across multiple time points to assess direct and indirect effects.

Main Results:

  • CBT and SPT demonstrated distinct symptom targets.
  • CBT enhanced efforts to disengage from and restructure thoughts and resist BDD rituals.
  • SPT was directly associated with improved BDD-related insight.
  • The temporal progression of CBT effects aligned with its phased approach (cognitive then behavioral).
  • CBT showed more consistent benefits for behavioral targets.

Conclusions:

  • CBT and SPT primarily influence different symptom clusters in BDD.
  • A deeper understanding of treatment mechanisms at the symptom level is crucial for improving patient care.
  • Analyzing patient experiences over time can inform treatment refinement and personalization.

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