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Background <p>The aim of this study was to analyze whether trait emotional intelligence statistically predicts mental health outcomes in university students.</p> Method <p>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.</p> Results <p>A multiple regression model was calculated to predict mental health in the total sample [<i>F</i> (4, 642) = 58.94, <i>p</i> ≤ .001] with an R<sup>2</sup> = .269. For males [<i>F</i> (3, 175) = 33.01, <i>p</i> ≤ .001] with an<i> R</i><sup><i>2</i></sup> = .361. For females [<i>F</i> (4, 463) = 33.84, <i>p</i> ≤ .001, <i>R</i><sup><i>2</i></sup> = .213] with an.</p> Conclusions <p>The dimensions that make up emotional intelligence (attention, clarity, and emotional repair) predict mental health in university students in the Community of Madrid.</p>

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Emotional intelligence as a predictor of mental health in undergraduate students

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月10日

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  • Jorge Acebes-Sánchez,
  • Alejo García-Naveira,
  • Ryan T. Conners,
  • Sonia García-Merino

摘要

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.