- 13-week DBT skills training significantly reduced frequency of non-suicidal self-injury behaviours versus social support group therapy in Chinese clinical sample.
- DBT-ST yielded superior improvement in borderline pathology and multiple psychological domains: emotion dysregulation, impulsivity, alexithymia, mindfulness, resilience and emotional intelligence.
- Both DBT-ST and social support group therapy reduced NSSI thoughts, suicidal ideation and attempts, and depression, with no significant between-group differences.
Psychol Med. 2026 May 28;56:e166. doi: 10.1017/S0033291726104553.
ABSTRACT
BACKGROUND: Dialectical behavior therapy skills training (DBT-ST) has received empirical evidence for treating non-suicidal self-injury (NSSI). However, its effectiveness in Chinese contexts remains understudied. This study aims to explore the effectiveness of DBT-ST for NSSI in a clinical sample of individuals with NSSI.
METHODS: We conducted a multicenter, randomized clinical trial in China to evaluate the effectiveness of a 13-week DBT-ST compared with social support group therapy (SSGT). A total of 196 individuals with mental disorders and NSSI were recruited. The primary outcome was the frequency of NSSI thoughts and behaviors, assessed using the Ottawa Self-Injury Inventory.
RESULTS: Participants were randomized to the DBT-ST group (n = 97) or the SSGT group (n = 99). DBT-ST was significantly more effective than SSGT in reducing the frequency of NSSI behaviors. It also showed superior effects on borderline symptoms and multiple domains of psychological functioning, including emotion dysregulation, impulsivity, alexithymia, mindfulness, psychological resilience, and emotional intelligence. Both groups exhibited significant reductions in the frequency of NSSI thoughts, suicidal ideation and attempts, and depression, with no significant between-group differences in these outcomes.
CONCLUSIONS: These findings confirm that the 13-week DBT-ST intervention is an effective treatment for Chinese patients with NSSI in clinical settings.
PMID:42206397 | DOI:10.1017/S0033291726104553
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