Login / Signup

Self-Compassion Scale for Youth: Turkish Adaptation and Exploration of the Relationship with Resilience, Depression, and Well-being.

M Engin DenizSeydi Ahmet SaticiCeymi DoenyasAzmi Caglar
Published in: Child indicators research (2022)
Self-compassion refers to being kind, understanding, and accepting toward oneself in times of failure, frustration, or negative feelings. Since self-compassion is related to both physical and psychological well-being, measuring and understanding self-compassion in different populations carries importance for their mental well-being and life satisfaction outcomes. One such group is the youth, who experience unique developmental challenges. For this purpose, a Self-Compassion Scale for Youth (SCS-Y) was developed (Neff et al., 2021) and this paper presents its Turkish adaptation. The Turkish translation of SCS-Y was tested on a sample of Turkish youth ( N  = 450, 61.8% female, M age = 13.09 ± 1.59, range = 11-15) and was found to have acceptable reliability. The scale showed a similar structure to the original testing on American youth with a bifactor model of a general self-compassion score and six subscale scores, and a two-bifactor model where negative and positive aspects are grouped together. Self-compassion was positively related to resilience and well-being, and negatively related to depression. A serial mediation analysis showed self-compassion to have a direct and positive effect on resilience, and to have an indirect effect on well-being mediated by resilience and depression. Given that the trainable skill of self-compassion is associated with higher resilience, lower depression, and better well-being, the value of this scale and its different adaptations becomes evident, as they enable measuring self-compassion in youth in various populations such as the present Turkish one and guiding the design of future interventions to increase self-compassion, targeted for the specific concerns of the youth.
Keyphrases
  • physical activity
  • mental health
  • young adults
  • depressive symptoms
  • climate change
  • social support
  • sleep quality
  • type diabetes
  • data analysis