ArticleF1000Research2023
Comparative Analysis of Psychological Well-Being and Emotional Education in Graduate Students.
Article in F1000Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Predictors of emotional well-being in university professors using Machine Learning.F1000Research · 2026Article
- Comparative Analysis of Psychological Well-Being and Emotional Education in Graduate Students.F1000Research · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The growing importance of emotional intelligence in academic and professional contexts has generated a need to explore its linkage with psychological well-being. Furthermore, understanding how various demographic and academic factors can influence students' emotional perception and management is crucial for optimizing educational and intervention strategies. In this context, the primary purpose of this study was to analyze the existing relationship between emotional education and psychological well-being in graduate students. Methods: The objective was to conduct a comparative analysis of perceived emotional intelligence (PEI) in different study programs offered at a specific university. The methodology, framed within a positivist paradigm, was based on a quantitative approach and examines the responses of 1,522 university students using the Trait Meta-Mood Scale (TMMS-24). Results: This tool, which is divided into three dimensions (emotional attention, emotional clarity, and emotional repair), was analyzed using descriptive statistics, correlation analysis, and ANOVA tests to determine demographic and academic influences on the scores. The findings indicate deficiencies in the areas of Emotional Attention and Emotional Repair, contrasting with a marked prevalence in Emotional Clarity. Variables such as sex, age, and field of study demonstrated an influence on the dimensions of PEI. Notably, significant differences in emotional perception were found between sex and academic fields. Conclusions: Specifically, training directed towards empathy proved to be a prominent factor in the perception of emotional competencies. This study highlights the influence of demographic and academic variables on emotional competencies, underscoring the need to adapt strategies in education and therapy.
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Registered trials
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