Background: Cognitive-behavioral therapy (CBT) effectively improves the clinical symptoms of social anxiety disorder. However, there are non-responders who cannot decrease their cost/probability bias significantly; hence, their social anxiety symptoms remain unaddressed. Mindfulness training and cognitive-behavioral approaches promote a reduction in cost/probability bias and social anxiety symptoms. This study examines the effectiveness of a four-session program of mindfulness and CBT (M-CBT) in a non-clinical sample of individuals with high social anxiety.
Methods: Participants were 50 Japanese undergraduate students (37 women and 13 men) randomly allocated to an intervention group (n = 27) and a control group (n = 23). The intervention group underwent a four-session M-CBT program, while the control group did not receive any treatment.
Results: A group × time analysis of covariances showed significant interactions in the negative cognition generated when paying attention to others in probability bias, fear of negative evaluation by others, dispositional mindfulness, depressive symptoms, and subjective happiness. M-CBT also produced significant pre-post improvements in the above outcomes with moderate to high effect sizes (ds = .51-1.55). Conversely, there were no interactions in social anxiety symptoms and self-focused attention.
Conclusions: These results indicate that M-CBT was effective for the negative cognition generated when paying attention to others in probability bias, fear of negative evaluation by others, dispositional mindfulness, depressive symptoms, and subjective happiness. The combination of mindfulness training with cognitive restructuring is proposed as potentially helpful for individuals with probability bias, leading to negative cognition from paying attention to others.
Trial Registration: University Hospital Medical Information Network (UMIN CTR) UMIN000036763. Registered May 16, 2019.
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http://dx.doi.org/10.1186/s12888-024-05651-0 | DOI Listing |
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Child Adolesc Psychiatry Ment Health
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Black Dog Institute, University of New South Wales, Sydney, NSW, 2031, Australia.
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