Predicting Autism Spectrum Disorders on the Basis of Emotional Intelligence Among University Students

Abstract

Background: Autism spectrum traits may present in a normal population without interfering with daily functionings. It seems that emotional intelligence (EI) is one of the factors effective in autism spectrum disorders (ASDs). Objectives: This study aimed at predicting ASDs based on EI and its dimensions (i.e. appraisal, utilization, and regulation of emotions) among university students. Patients and Methods: In this descriptive correlational study, 100 students of the Babol Branch, University of Payam Noor, were selected using the voluntary sampling method in the academic year of 2013 - 2014. The participants were asked to fill in a questionnaire containing demographic characteristics, the Autism Spectrum Quotient, and the Modified Schutte Emotional Intelligence Scale. The data were analyzed using SPSS software (version 21), Pearson correlation coefficient, and regression analysis. Results: The results showed a significant negative relationship between total EI and all its components (i.e. appraisal, utilization, and regulation of emotions) with ASDs in the students (P < 0.01). The results of the regression analysis indicated that global EI and 2 of its components (i.e. utilization and regulation of emotions) were able to predict the variance in ASDs in the students (P < 0.01). Conclusions: Our findings highlighted the importance of EI and its aspects in ASDs in the university students recruited in the present study. Therefore, improvement in EI and its dimensions can decrease autism symptoms and signs in individuals with ASDs. Overall, the result of this study emphasizes the key role of EI as a plausible health predictor.