predicting non-suicidal self-injury in secondary high school students based on affective and emotional composite temperament model (afect)

Background & objective: nonsuicidal selfinjury 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 selfinjury behaviors in secondary high school students based on the affective and emotional composite temperament model.materials & methods: this study was descriptivecorrelational and its statistical population was all secondary high school students in namin in ardabil province, in which 205 students were selected using a multistage cluster sampling method and were examined by affective and emotional composite temperament questionnaires and selfinjury 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 selfinjury behaviors and volition negatively and inhibition positively were able to significantly predict selfinjury 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 selfinjury behaviors and depressive, volatile and disinhibited behaviors negatively and euthymia positively could predict selfinjury behaviors.conclusion: the results showed that the afect model can explain and predict selfinjury behaviors in students. therefore, the results of this study have important implications for use of the afect model intending to identify groups exposed to selfinjury behaviors and can be used to design preventive interventions for these behaviors.

Predicting Non-Suicidal Self-injury in Secondary High School Students Based on Affective and Emotional Composite Temperament Model (AFECT)

Background Objective: NonSuicidal Selfinjury 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 selfinjury behaviors in secondary high school students based on the Affective and Emotional Composite Temperament Model.Materials Methods: This study was descriptivecorrelational and its statistical population was all secondary high school students in Namin in Ardabil province, in which 205 students were selected using a multistage cluster sampling method and were examined by Affective and Emotional Composite Temperament questionnaires and selfinjury 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 selfinjury behaviors and volition negatively and inhibition positively were able to significantly predict selfinjury 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 selfinjury behaviors and depressive, volatile and disinhibited behaviors negatively and euthymia positively could predict selfinjury behaviors.Conclusion: The results showed that the AFECT model can explain and predict selfinjury behaviors in students. Therefore, the results of this study have important implications for use of the AFECT model intending to identify groups exposed to selfinjury behaviors and can be used to design preventive interventions for these behaviors.