Predicting Non-Suicidal Self-injury in Secondary High School Students Based on Affective and Emotional Composite Temperament Model (AFECT)
Year: 2020
Type: article
Study design: Observational Study
Abstract: 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.
Authors: parisa moradikelardeh, Seifollah Aghajani
Institution: University of Mohaghegh Ardabili
Language: English
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W3138972639