Temperament

The present study was conducted on female students of Allameh Tabataba'i University to predict Internet addiction through a seven-factor Cloninger model. The statistical population of the study consisted of all female students of Allameh Tabataba'i University studying in the academic year 2019-2020. Moreover, a sample population of 150 people was selected through the convenience sampling method. Young's Internet Addiction Test and Cloninger’s Temperament and Character Inventory (TCI-125) were administered to the sample population. The data were analyzed by Pearson’s correlation test, multiple regression. Results of Enter regression indicated that persistence dimension (b=-0.355) could account for 18.6% of variances of Internet addiction. The results of stepwise regression showed that persistence (b=-0.349) could predict 12.2% of variances of Internet addiction. Then, self-directedness was added to the prediction model which increased the explained variances of Internet addiction up to 15.4% of which 3.2% accounts particularly for self-directedness. This study may contribute to more accurate identification of involved factors in this phenomenon and provide a proper approach for prevention and treatment in line with those focused on evaluating the effective factors on Internet addiction.

Aim: Background: Oppositional defiant disorder (ODD) is a condition in which children display a pattern of uncooperative, defiant, and angry behavior toward people in authority. Objectives: The present study aimed to determine the predictors of ODD among male teenagers in the city of Urmia, Iran. Methods: For this descriptive-analytical study, 384 male students between the ages of 13-16 were selected through cluster sampling. The instruments used comprised Hill Burns’ (1964) Affective Family Climate, Garnefski's Emotion Self-Regulation (2006), Cloninger’s (1994) Temperament and Character Inventory, and Achenbach’s (1991) Youth Self-Report questionnaires. Data were analyzed in SPSS v.19 using descriptive statistics, Pearson’s comparison, and regression at a significance level of p≤0.05 Results: The results showed a direct and significant correlation between emotion regulation and symptoms of ODD (0.19, p<0.01). A direct and significant relationship was also found between temperament and ODD symptoms (-0.20, p<0.01). Pearson’s correlation analyses revealed a meaningful relation between the family's emotional atmosphere and symptoms of ODD (-0.53, p<0.01). Furthermore, multiple linear regression models indicated that 39.9% of the variance of ODD is predicted by emotion regulation, family emotional atmosphere, and temperament. Conclusion: Based on the results of this study, it seems likely that ODD is influenced by emotion regulation, temperament, and affective family climate; to prevent the formation of this disorder, it is recommended that these three variables be addressed.