Predicting depression based on procrastination and cognitive distortions

Document Type : Original Article

Authors

1 Department of Psychology Education and Counseling, Farhangian University, PO Box 889-14665, Tehran, Iran

2 Assistant Professor, Department of Biology, Arsanjan Azad University, Arsanjan, Iran.

3 Department of Educational Sciences, Farhangian University, P.O. Box 14665-889, Tehran, Iran

4 Master of Science in Clinical Psychology, Arsanjan Azad University, Iran.

Abstract

The main aim of the research was to predict depression based on procrastination and cognitive distortions of female teachers in district 1 of Shiraz. The current research was applied in terms of purpose and descriptive and correlational in terms of method. The statistical population of the research included female teachers of one district of Shiraz (836 people) in 1401-1402, of which 265 people were selected by random cluster sampling method. In order to collect data, Beck et al.'s depression questionnaire (1996), Safarinia and Amirkhani Razlighi's procrastination questionnaire (2013) and Ellis' cognitive distortions questionnaire (1998) were used. Data analysis was done using SPSS version 24 software. The results of Pearson's correlation coefficient showed that there is a positive and significant relationship between procrastination and depression (r=0.820; P<0.0001) and cognitive distortions with depression (r=0.797; P<0.0001). . Also, the results showed that procrastination alone explains 0.67 and along with cognitive distortions 0.737 of the variance of depression. Based on the findings of the research, it can be stated that more procrastination and cognitive distortions in female teachers lead to an increase in depression.
Quarterly Journal of Education Studies
Volume 11, Issue 41
June 2025
Pages 61-76

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