Jorge Acebes-Sánchez, Alejo García-Naveira, Ryan T Conners, Sonia García-Merino
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Emotional intelligence as a predictor of mental health in undergraduate students.
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.
期刊介绍：
BMC Psychology is an open access, peer-reviewed journal that considers manuscripts on all aspects of psychology, human behavior and the mind, including developmental, clinical, cognitive, experimental, health and social psychology, as well as personality and individual differences. The journal welcomes quantitative and qualitative research methods, including animal studies.
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