Objectives Over the last decade, the mental health of undergraduate students has been of increasing concern and the prevalence of psychological disorders among this population has reached an unprecedented high. Compassion-based interventions have been used to treat shame and self-criticism, both of which are common experiences among undergraduate students and transdiagnostic vulnerability factors for an array of psychological disorders. This randomized controlled study examined the utility of a brief online self-compassionate letter-writing intervention for undergraduate students with high shame. Method Participants were 68 undergraduates who scored in the upper quartile on shame. Individuals were randomly assigned to a 16-day self-compassionate letter-writing intervention ( n = 29) or a waitlist control group ( n = 39). Participants completed baseline, post-assessment, and one-month follow-up measures. Results Participants who practiced self-compassionate letter writing evidenced medium-to-large reductions in global shame, external shame, self-criticism, and general anxiety at post-assessment, and gains were sustained at follow-up. Additionally, there were trend-level effects for increases in self-compassion and decreases in depression for those who participated in the intervention. Conclusions This study examined the efficacy of self-compassionate letter-writing as a stand-alone intervention for undergraduate students with high shame. This brief, easily accessible, and self-administered practice may be beneficial for a host of internalizing symptoms in this population and may support university counseling centers as they navigate high demand for mental health services.
A Brief Self-Compassionate Letter-Writing Intervention for Individuals with High Shame
M. Swee,Keith P. Klein,S. Murray,R. Heimberg
Published 2023 in Mindfulness
ABSTRACT
PUBLICATION RECORD
- Publication year
2023
- Venue
Mindfulness
- Publication date
2023-03-08
- Fields of study
Medicine, Psychology
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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