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Emotional intelligence as a predictor of mental health in undergraduate students
Jorge Acebes-Sánchez1, Alejo García-Naveira2, Ryan T Conners3
1Faculty of Health Sciences, Universidad Francisco de Vitoria, Madrid, Spain. j.acebes.prof@ufv.es.
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.
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