predicting cognitive emotion regulation and academic achievement based on symptoms of attention-deficit/hyperactivity disorder

Objective: this study aimed to predict cognitive emotion regulation and academic achievement based on symptoms of attention-deficit/hyperactivity disorder. methods: the present study has a correlational design. the study population consisted of students at the university of bojnord, bojnord city, iran, in the academic year 2017-18. of these students, 190 were selected by a convenience sampling method. adult self-report short-form conners’ scale and cognitive emotion regulation questionnaire were used for data collection. academic performance was determined by the grade point average. multivariate regression analysis was used for analysis. results: the results showed that hyperactivity and physical problems could predict self-blame, and hyperactivity can predict other blame and rumination. the variables of hyperactivity, impulsivity, and physical problems were also able to predict the catastrophizing strategy. among the variables studied, only inattention predicted grade point average change. conclusion: thus, the findings of the study suggest that some components of cognitive emotion regulation and academic performance can be predicted based on symptoms of attention-deficit/hyperactivity disorder