Prediction of suicidal thoughts based on alexithymia and childhood traumas of divorced women

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Purpose
Women will experience new negative or positive emotions from the day of divorce. These feelings are so fluctuating that sometimes they are confused and bewildered by the oppositeness of these feelings. Therefore, the aim of this research was to predict suicidal thoughts based on childhood traumas and alexithymia of divorced women.
Method
The current research was applied in terms of purpose and descriptive and correlational in terms of method. The statistical population of the current study included all divorced women who referred to counseling centers and psychology clinics in the 5th district of Tehran. Therefore, the sample size of the study was determined to be 250 people based on Klein's point of view. For the purpose of sampling, the statistical sample of the study was selected by using a targeted and available sampling method by referring or sending a questionnaire to counseling centers and psychological clinics in the 5th district of Tehran. The tools used for data collection included Childhood Trauma Questionnaire (CTQ), Beck Suicidal Ideation Questionnaire (BSSI) and Toronto Alexithymia Scale (TAS-20). In this research, the collected data were statistically analyzed using SPSS software, Pearson's correlation coefficient and multivariate regression analysis.
Findings
The results of regression analysis showed that independent variables (childhood traumas and alexithymia) have 12% ability to predict the tendency to emotional divorce. Also, among independent variables, alexithymia with a beta coefficient of 0.16 and childhood traumas with a beta coefficient of 0.19 can positively predict subjects' suicidal thoughts (p<0.01).
Conclusion
Therefore, it can be concluded that the suicidal thoughts of divorced women can be predicted through the variables of childhood traumas and alexithymia..
Language:
Persian
Published:
Journal of Psychological Dynamics in Mood Disorders, Volume:1 Issue: 2, 2022
Pages:
47 to 55
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