Moradikelardeh P, Aghajani S. Predicting Non-Suicidal Self-injury in Secondary High School Students Based on Affective and Emotional Composite Temperament Model (AFECT). JABS 2020; 10 (3) :2466-2476
URL:
http://jabs.fums.ac.ir/article-1-2395-en.html
1- Department of Psychology,University of Mohaghegh Ardabili , Ardabil, Iran , pari.moradi71@gmail.com
2- Department of Psychology, University of Mohaghegh Ardabili, Ardabil, Iran
Abstract: (2726 Views)
Background & Objective: Non-Suicidal Self-injury has a high frequency in adolescence, and several studies have pointed to the role of temperamental variables in the occurrence of these behaviors. This study aimed to predict self-injury behaviors in secondary high school students based on the Affective and Emotional Composite Temperament Model.
Materials & Methods: This study was descriptive-correlational and its statistical population was all secondary high school students in Namin in Ardabil province, in which 205 students were selected using a multi-stage cluster sampling method and were examined by Affective and Emotional Composite Temperament questionnaires and self-injury questionnaire. Data analysis was performed using SPSS software version 20, Pearson correlation test, and stepwise regression.
Results: The dimensions of Emotional Temperament with a stepwise correlation coefficient of 37%, can predict about 13% of the changes related to self-injury behaviors and volition negatively and inhibition positively were able to significantly predict self-injury behaviors. In addition, the dimensions of Affective Temperament can explain and predict with a correlation coefficient of 395%, about 16% of the changes related to self-injury behaviors and depressive, volatile and disinhibited behaviors negatively and euthymia positively could predict self-injury behaviors.
Conclusion: The results showed that the AFECT model can explain and predict self-injury behaviors in students. Therefore, the results of this study have important implications for use of the AFECT model intending to identify groups exposed to self-injury behaviors and can be used to design preventive interventions for these behaviors.
Type of Study:
Research |
Subject:
Clinical Psychology Received: 2020/07/28 | Accepted: 2020/09/9 | Published: 2021/01/26
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