PREDICTION OF DEPRESSION BASED ON COMPONENTS OF SELF- COMPASSION IN GIRL STUDENTS WITH EMOTIONAL BREAKDOWN EXPERIENCE IN AHVAZ UNIVERSITIES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AMANELAHI A.; TARDAST K.; ASLANI KH.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF CLINICAL PSYCHOLOGY Year:2016 | Volume:8 | Issue:2 (30) Page(s): 77-88

Download Full-Text

Persian Verion

View:

1,746

Download:

Cites:

Information Journal Paper

Title

PREDICTION OF DEPRESSION BASED ON COMPONENTS OF SELF- COMPASSION IN GIRL STUDENTS WITH EMOTIONAL BREAKDOWN EXPERIENCE IN AHVAZ UNIVERSITIES

Author(s)

AMANELAHI A. | TARDAST K. | ASLANI KH. | Issue Writer Certificate

Keywords

DEPRESSIONQ2

SELF- COMPASSIONQ1

EMOTIONAL BREAKDOWNQ1

Abstract

Introduction: The purpose of present study was to investigate prediction of DEPRESSION based on components of SELF- COMPASSION (self- kindness, self- judgment, common humanity, isolation, mindfulness and excessive cognition) in girl students with EMOTIONAL BREAKDOWN experience in Ahvaz universities.Method: The present research method was correlational. The participants of study were 180 girl students who have experienced EMOTIONAL BREAKDOWN during past year. The sample was selected by using purposive sampling and snowball sampling method. Data collection tools included 13-item Beck DEPRESSION Inventory and Neff Self-Compassion Inventory.Results: Discriminant analysis method was used to analyze data. Results showed that linear combination of study's variables can predict DEPRESSION among girl students of Ahwaz universities. Also in stepwise discriminant analysis showed that the most efficient variables in prediction of DEPRESSION were 1- mindfulness, 2- isolation, 3- self- judgment and 4- self- kindness respectively. In investigation of variables separately released that all variables including self- kindness, self- judgment, common humanity, isolation, mindfulness and excessive cognition were significant prediction for DEPRESSION among girl students of Ahwaz universities.Conclusion: Based on the results of this study it can be concluded that SELF- COMPASSION can predict DEPRESSION among girl students with EMOTIONAL BREAKDOWN experience in Ahvaz universities.

Cites

The Effectiveness of Spiritual-religious Psychotherapy on Love Trauma Syndrome and Acceptance in Female Students with Love Failure

References

No record.

Cite

APA: Copy

AMANELAHI, A., TARDAST, K., & ASLANI, KH.. (2016). PREDICTION OF DEPRESSION BASED ON COMPONENTS OF SELF- COMPASSION IN GIRL STUDENTS WITH EMOTIONAL BREAKDOWN EXPERIENCE IN AHVAZ UNIVERSITIES. JOURNAL OF CLINICAL PSYCHOLOGY, 8(2 (30)), 77-88. SID. https://sid.ir/paper/152755/en

Vancouver: Copy

AMANELAHI A., TARDAST K., ASLANI KH.. PREDICTION OF DEPRESSION BASED ON COMPONENTS OF SELF- COMPASSION IN GIRL STUDENTS WITH EMOTIONAL BREAKDOWN EXPERIENCE IN AHVAZ UNIVERSITIES. JOURNAL OF CLINICAL PSYCHOLOGY[Internet]. 2016;8(2 (30)):77-88. Available from: https://sid.ir/paper/152755/en

IEEE: Copy

A. AMANELAHI, K. TARDAST, and KH. ASLANI, “PREDICTION OF DEPRESSION BASED ON COMPONENTS OF SELF- COMPASSION IN GIRL STUDENTS WITH EMOTIONAL BREAKDOWN EXPERIENCE IN AHVAZ UNIVERSITIES,” JOURNAL OF CLINICAL PSYCHOLOGY, vol. 8, no. 2 (30), pp. 77–88, 2016, [Online]. Available: https://sid.ir/paper/152755/en

Related Journal Papers