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Background: Emotion regulation is an important meta-diagnosis construct and one of the common core and underlying dimensions of emotional disorders. Emotion regulation models are divided into two general categories of interpersonal and interpersonal models. Purpose: This study aimed to compare interpersonal and intrapersonal models of emotion regulation in predicting depression and anxiety syndromes in Tehran universities students. Method and material: The method of this study was cross-sectional. The statistical population of this study was all students of public universities in Tehran. Sampling was done using multi-stage cluster and the subjects were evaluated using Emotion Regulation Strategies Questionnaire, Interpersonal Emotion Regulation Questionnaire, Short Difficulty in Emotion Regulation Questionnaire and SCL-25 Questionnaire. Results: Findings showed that intrapersonal and interpersonal emotion regulation strategies have a significant role in explaining depression and anxiety syndrome. Between the two interpersonal and interpersonal emotion regulation models, the interpersonal emotion regulation model had a stronger and more significant effect on prediction of depression and anxiety syndrome (P <0.01). Conclusion: Both intrapersonal and interpersonal emotion regulation models have role in explanation of depression and anxiety syndromes and can be effective in predicting and treating emotional disorders.

Comparing Interpersonal and Intrapersonal Emotion Regulation Models in Explaining Depression and Anxiety Symptoms in College Students