OPEN ACCESS
PEER-REVIEWED
Comparative Study
| Published: November 20, 2018
Self-Compassion and Self-Esteem as Predictors of Life-Satisfaction and Perceived Stress among Adults
M.Sc., Department of Psychology, Women’s Christian College, College Road Chennai 60006 Google Scholar More about the auther
Ph.D, Associate Professor and Head, Department of Psychology, Women’s Christian College, College Road Chennai 60006 Google Scholar More about the auther
DIP: 18.01.060/20180604
DOI: 10.25215/0604.060
ABSTRACT
Introduction: Self-esteem and self-compassion are widely researched concepts related to positive life outcomes and self-perception, and has superior mental health benefits. Objectives: The study evaluates the relationship between self-compassion and self-esteem, and their influence as predictors of life satisfaction and perceived stress among adults. Method: Purposive sampling included 126 participants between 18-40 years of age; questionnaires were administered to measure self-compassion, self-esteem, perceived stress and life satisfaction. Self-compassion subscales and self-esteem were included in stepwise regression analysis to identify predictors of perceived and satisfaction with life, and Pearson Correlation was used to examine the relationship between them. Results showed that self-compassion was negatively correlated with self-esteem. Over-identification subscale was a significant positive predictor of perceived stress and, mindfulness subscale and self-esteem negatively predicted perceived stress. Also, self-esteem strongly predicted life satisfaction positively and only isolation subscale was found to significantly predict life satisfaction negatively. No gender or age differences were found for self-compassion. Conclusion: Holistic life adjustment appears to be influenced by one’s self-esteem and self-compassion. Implications for well-being will be discussed.
Keywords
Self-Compassion, Self-Esteem, Well-Being, Positive Mental Health
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
2018 S Shivakumar, V Easvaradoss
Received: October 21, 2018; Revision Received: November 14, 2018; Accepted: November 20, 2018
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.060/20180604
10.25215/0604.060
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Published in Volume 06, Issue 4, October-December, 2018