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Exploring the Relationship between Self-Compassion and Psychological Pain: A Canonical Correlation Analysis.
Garabedian, Ariana; Dluzniewski, Alexandra; Baker, Russell T; Casanova, Madeline P.
Afiliación
  • Garabedian A; WWAMI Medical Education Program, University of Idaho, Moscow, ID 83844, USA.
  • Dluzniewski A; Idaho Office of Rural and Underserved Medical Research, University of Idaho, Moscow, ID 83844, USA.
  • Baker RT; Idaho Office of Rural and Underserved Medical Research, University of Idaho, Moscow, ID 83844, USA.
  • Casanova MP; Idaho Office of Rural and Underserved Medical Research, University of Idaho, Moscow, ID 83844, USA.
Behav Sci (Basel) ; 14(8)2024 Jul 24.
Article en En | MEDLINE | ID: mdl-39199027
ABSTRACT
This study investigated the association between self-compassion and psychological pain across various demographic variables. Using canonical correlation analysis, we observed an inverse relationship between the combined factors of the Self-Compassion Scale (SCS) and the Orbach and Mikulincer Mental Pain Scale (OMMP-8). Subgroup analyses revealed differences in SCS subscales among demographic groups with females, individuals with mental health diagnoses, and non-athletes displaying higher scores on negative SCS subscales and PsyPn. Injury status did not significantly affect self-compassion levels, although injured individuals scored higher on the irreversibility subscale of PsyPn. Negative SCS factors exhibited larger group differences and stronger correlations with PsyPn, indicating the potency of negative thinking in influencing psychological pain. These findings underscore the importance of self-compassion in mental health and suggest potential implications for intervention strategies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Behav Sci (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Behav Sci (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza