Emotional intelligence as a predictor of mental health in undergraduate students
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Abstract
Background: The aim of this study was to analyze whether trait emotional intelligence statistically predicts mental health outcomes in university students. Method: Six hundred forty-seven undergraduate students from the Community of Madrid participated. The Trait Meta Mood Scale-24 (TMMS-24) was used to assess emotional intelligence, and the Global Health Questionnaire (GHQ-12) was used to assess mental health. Student's t-analysis and ANOVA were performed for the comparative study, as well as multiple regression for the predictive analysis of emotional intelligence on mental health. Results: A multiple regression model was calculated to predict mental health in the total sample [F (4, 642) = 58.94, p ≤.001] with an R2 =.269. For males [F (3, 175) = 33.01, p ≤.001] with an R2 =.361. For females [F (4, 463) = 33.84, p ≤.001, R2 =.213] with an. Conclusions: The dimensions that make up emotional intelligence (attention, clarity, and emotional repair) predict mental health in university students in the Community of Madrid.