emotion regulation deficits

 Problematic internet use is one of the emerging issues in modern societies, and psychological factors play a prominent role in its etiology. Accordingly, this study aimed to investigate the relationship between attention deficit, impulsivity, and emotional regulation deficits with problematic internet use due to the feeling of loneliness.

 The multi-stage cluster method was adopted to select 450 students from the middle schools in Tabriz in the 2022-2023 academic year. Subjects were assessed by the questionnaires of Achenbach's behavioral signs, Barth's impulsivity, Gratz's and Roemer's emotion regulation deficits, Russell's feeling of loneliness and the problematic Internet use by Lopez-Fernandez et al.

 The data analysis using structural equation modeling showed that the effects of attention deficit, impulsivity, and emotional regulation deficits on the problematic internet use were mediated by the feeling of loneliness. In addition, the findings revealed that attention deficit, impulsivity, emotion regulation deficit, and loneliness had a positive significant relationship with problematic internet use (P<0.05). The effects of attention deficit, impulsivity, and emotion regulation deficit on loneliness were also significant (P<0.05).

 In sum, the attention deficit, impulsivity, and emotional regulation deficits may have predicted the problematic internet use caused by feeling of loneliness.

Generalized anxiety disorder (GAD) can be affected by different emotional, cognitive, and natural factors. The purpose of this study was to predict GAD based on emotion regulation deficits, thought-action fusion, and behavioral inhibition. This was a correlational study. The study sample was comprised of 135 patients with GAD selected from among patients who were referred to psychiatric clinics and centers in Tabriz, Iran, using convenient sampling method. The data collection tool consisted of cognitive emotion regulation questionnaire (CERQ), thought fusion instrument (TFI), Beck Anxiety Inventory (BDI), retrospective and adults measures of behavioral inhibition (RMBI, AMBI), and the 20-item Toronto Alexithymia Scale (TAS-20). Data were analyzed using Pearson correlation coefficient and stepwise multiple regression analysis method. Difficulty in describing and identifying emotions, maladaptive emotion regulation strategies, thought-action fusion, and childhood behavioral inhibition had significant relationships with GAD (P < 0.010). Moreover, stepwise regression analysis showed that difficulty in identifying emotions, maladaptive emotion regulation, thought-action fusion, and childhood behavioral inhibition were the best predictors for GAD, respectively. Considering the role of emotion regulation deficits, thought-action fusion, and childhood behavioral inhibition in GAD, these variables must be taken into account in the prevention and treatment programs for GAD.

Generalized Anxiety Disorder (GAD) is affected by different emotional, cognitive and natural factors. The purpose of this study was to investigate the role of emotional regulation deficits, thought-action fusion and behavioral inhibition in Generalized Anxiety Disorder. This research is a correlational study and the sample included 120 patients with GAD selected from patients referring to four psychiatry centers in Shiraz using availability sampling. Instruments used for data collection included Cognitive emotion regulation questionnaire (CERQ), Thought Fusion Instrument (TFI), Beck Anxiety Inventory (BDI), retrospective and adults Measures of Behavioral Inhibition (RMBI, AMBI), and the 20-item Toronto alexithymia Scale (TAS-20). Data was analyzed using Pearson Correlation Coefficient and stepwise multiple regression analysis method. Results showed that there was a significant relationship between difficulty in describing and identifying emotions, mal-adaptive emotion regulation strategies, thought-action fusion and childhood behavioral inhibition with GAD (p<0.01). Also, stepwise regression analysis showed that difficulty in identifying emotions, ma-ladaptive emotion regulation, thought-action fusion and childhood behavioral inhibition were the best predictors for GAD respectively. Discussion & Given the role of emotion regulation deficits, thought-action fusion and childhood behavioral inhibition in GAD, the prevention and treatment programs for GAD should take these variables into account.