Predicting Psychological Wellbeing from Mindfulness and Resiliency among Adolescents

Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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JR_JPC-1-1_002

تاریخ نمایه سازی: 2 اسفند 1400

Abstract:

Mental health is one of the aspects of health. Students of each community are considered the upcoming generation of the community. The aim of this research was to predicting psychological wellbeing from mindfulness and resiliency among adolescents.Research method was descriptive in the form of correlation and research population consisted of all students in Kohgiluyeh province. Using randomized cluster sampling method, a total of ۳۶۶ students were selected. Participants completed the Baer et al Five Facet Mindfulness Questionnaire (FFMQ), Connor–Davidson Resilience Scale (CD-RISC), and Ryff Psychological Wellbeing Scale (PWB). Research data were analyzed using descriptive and inferential statistics indices including Pearson correlation coefficient, and multiple linear regression .Finding showed that there was no significant difference between girls and boys in Mindfulness, resiliency and psychological wellbeing variables. Total score of Mindfulness and psychological wellbeing showed positive significant correlation. Resiliency and psychological wellbeing had a positive significant correlation. Mindfulness Dimensions predicted ۶۹% and resiliency predicted ۶۴% of variance of psychological wellbeing. With regard to these findings, we can conclude that mindfulness and resiliency are the factors contributing to the prediction of psychological wellbeing in students. Based on the results of this study, psychologists and school counselors can have psychological well-being to improve their psychological well-being on the basis of their resiliency and mindfulness to provide educational and therapeutic interventions.

Authors

Asadi

Assistant Professor, Department of Psychology and Educational Sciences, faculty of Humanities, Arak University, Arak, Iran

Fathi

Counseling, Ph.D, Ahwaz Branch, Islamic Azad University, Ahvaz, Iran