Cancer is a chronic disease that causes the most deaths in the world, being a public health problem nowadays. Even though breast cancer affects the daily lives of patients, many women become resilient after the disease, decreasing the impact of the diagnosis. Based on a positive psychology approach, the concept of co-vitality arises understood as a set of socio-emotional competencies that enhance psychological adaptation. In this sense, emotional intelligence is one of the main protective factors associated with resilience. However, it (...) is not always as beneficial as it seems, and can lead to collateral effects on psychological adjustment. Given this controversy, this study aims to find the specific processes through which the dimensions of Perceived Emotional Intelligence can act as a risk or protective factor in the development of resilience. The total sample was 167 women, 46.7% were breast cancer survivors, and 53.3% were healthy controls. The selection of women with breast cancer carries out randomly, recruited through the Oncology Units. The sample completed measures of resilience and PEI, through Resilience Scale and TMMS-24. The results showed that breast cancer survivors showed higher age and greater levels of resilience and mood repair than healthy women. The mediation analysis revealed that breast cancer survival and PEI predicted 28% of the variance of resilience. The direct effects showed that emotional clarity and mood repair increased resilience levels. Although breast cancer did not predict resilience directly, it does through mood repair by an indirect process. Besides, the analysis showed that emotional attention played a role in vulnerability, decreasing mood repair, and resilience. These research support theories that point to a possible dark side of PEI, thus, a great level of emotional attention makes dark the positive effect of mood repair and personal growth if a clear perception of emotions does not complement it. These results provide empirical support concerning the need to work complementary each dimension of PEI to avoid unwanted effects on intrapersonal adjustment. (shrink)

People with higher levels of emotional intelligence (EI: adaptive emotional traits, skills and abilities) typically achieve more positive life outcomes, such as psychological wellbeing, educational attainment, and job-related success. Although the underpinning mechanisms linking EI with those outcomes are largely unknown, it has been suggested that EI may work as a ‘stress buffer’. Theoretically, when faced with a stressful situation, emotionally intelligent individuals should show a more adaptive response than those with low EI, such as reduced reactivity (less mood deterioration, (...) less physiological arousal), and faster recovery once the threat has passed. A growing number of studies have begun to investigate that hypothesis in respect to EI measured as both an ability (AEI) and trait (TEI), but results are unclear. To test the ‘stress-buffering’ function of EI, we systematically reviewed experimental studies that explored the relationship between both types of EI and acute stress reactivity or recovery. By searching 4 databases, we identified 45 eligible studies. Results showed that EI was only adaptive in certain contexts, and that findings differed according to stressor type, and how EI was measured. In terms of stress reactivity, TEI related to less mood deterioration during sports-based stressors (e.g. competitions), physical discomfort (e.g. dental procedure), and cognitive stressors (e.g. memory tasks), but did not appear as helpful in other contexts (e.g. speeches). Furthermore, effects of TEI on physiological stress responses, such as heart rate, were inconsistent. Effects of AEI on subjective and objective stress reactivity were often non-significant, with high levels detrimental in some cases. However, data suggest that both higher AEI and TEI relate to faster recovery from acute stress. In conclusion, results provide mixed support for the stress-buffering effect of EI. Limitations and quality of studies are also discussed. Findings could have implications for EI training programmes. (shrink)

The current study analyzed how trait emotional intelligence (trait EI) mediates the relationship between self-esteem and state anxiety (STAI-S) and trait anxiety (STAI-T). The sample was composed of 153 undergraduate students from the University of Cádiz, Spain (71.9% women and 28.1% men). Students completed measures of self-esteem, STAI-S, STAI-T, and trait EI. Mediation analyses were completed with three trait EI dimensions (emotional attention -EA-, emotional clarity -EC-, and mood repair -MR) as mediating variables, self-esteem as the independent variable, and STAI-S (...) and STAI-T as the dependent ones. Our results confirmed that self-esteem scores explained and predicted both, STAI-S and STAI-T values (13% for STAI-S and 21% for STAI-T). This explanatory capacity is increased by 8% when accounting for all trait EI dimensions. Considering STAI-S, the results of the direct effects showed that a decrease in their levels is predicted through the increases in the levels of both, self-esteem and MR. Regarding STAI-T, the results of the direct effects showed that a decrease in their levels is predicted, in addition to an increment of self-esteem and MR values, by an increase of EC and a decrease of EA. Conversely, indirect effects revealed that higher levels of self-esteem were associated with worse scores in EA and worse MR, which in turn would enhance both STAI-S and STAI-T levels. Moreover, regarding STAI-T higher levels of self-esteem were associated with worse scores in EA and worse EC, therefore increasing STAI-T levels. As shown, the negative association found between self-esteem and EA becomes a key element. The effect of self-esteem on EA and the influence that the latter had on EC and MR exerts an indirect mediated effect with the power to invert the influence that self-esteem wields on both types of anxiety. In this sense, the apparent protective role of self-esteem changed, turning into a risk factor that promotes higher anxiety values. (shrink)

The study was designed to examine whether trait emotional intelligence would moderate the impact of negative emotions at work on job burnout. A total of 188 female nurses participated in this study and completed measures of trait affectivity, emotional intelligence, anger and sadness at work [over five consecutive days, nurses rated the extent to which they experienced anger-related emotions (i.e., irritation, embitterment and anger) and sadness-related emotions (i.e., depression, disappointment and sadness)], and burnout. The results revealed significant and positive relationships (...) between both types of negative emotions and burnout above and beyond demographics and the nurses’ trait affectivity. Importantly, the study demonstrated that trait emotional intelligence buffers the effects of negative emotions on burnout. Specifically, anger- and sadness-related emotions predicted greater burnout among nurses with low trait emotional intelligence but not among nurses with high trait emotional intelligence. These results suggest that emotional intelligence training could be implemented to prevent the adverse effect of negative emotions felt at work on job burnout. (shrink)

We meta-analytically investigated relations between the four-branch model of ability emotional intelligence (EI) with fluid (Gf) and crystallized intelligence (Gc; 352 effect sizes; ntotal = 15,333). We found that for each branch, the strength of relations with Gf and Gc were equivalent. Understanding emotions has the strongest relation with Gf/Gc combined (ρ =.43, k = 81, n = 11,524), relative to facilitating thought using emotion (ρ =.19, k = 51, n = 7,254), managing emotions (ρ =.20, k = 74, n (...) = 11,359), and perceiving emotion (ρ =.20, k = 79, n = 9,636); for the latter, relations were also moderated by stimulus type. We conclude with implications and recommendations for the study of ability EI. (shrink)

Currently, entrepreneurship is a priority for economic, social, and technological growth. Therefore, the interest in understanding entrepreneurship processes has increased significantly. Individual variables play a fundamental role, and academic research has pointed out the influence of emotional intelligence in entrepreneurial processes; however, its relationship with other interpersonal processes and individual variables, such as personality and self-efficacy, has not been extensively studied. The aim of this research was to analyze the relationship among emotional intelligence, self-efficacy, and entrepreneurial intention, controlling for the (...) effects of personality, gender, and age. Multiple hierarchical regression analyses were applied through a questionnaire survey of 1,593 college students to test the relationship between the constructs in the model. The results show that the personality traits are associated with entrepreneurial self-efficacy, emotional intelligence positively influences entrepreneurial intention, and self-efficacy mediates the relationship between emotional intelligence and entrepreneurial intention. Practical implications for training programs are examined, and future lines of research were discussed. (shrink)

Business Ethics: A European Review, Volume 30, Issue 2, Page 231-243, April 2021.

This study aimed to determine if people would use social usefulness as a criterion when allocating a kidney to potential recipients. Participants ranked hypothetical patients in order of priority to receive the kidney, using only information on the patients’ volunteering record, intelligence, emotional intelligence, and attractiveness. The results showed that volunteers were prioritized over nonvolunteers, highly intelligent patients over those with average intelligence, patients with high emotional intelligence over those with average emotional intelligence, and good-looking patients over average-looking patients. There (...) was little evidence of personal favoritism. Implications and limitations are discussed. (shrink)

The study of the relationship between reasoning and emotional processes is not new in Psychology. There are currently two main approaches to understanding the aspects related to these processes called emotional intelligence: the ability model and the trait model. This study focuses on the latter, analyzing the factor structure, reliability, and validity of the Trait Emotional Intelligence Questionnaire in a Brazilian sample. 4314 adults with ages ranging from 18 to 60 years answered the TEIQue and other online instruments measuring emotional (...) regulation, impulsiveness, alexithymia, loneliness, quality of life, positive and negative affect, personality traits, emotional perception, emotional understanding, and reasoning tests. The original four-factor structure of the TEIQue was replicated, Cronbach’s alphas ranged from 0.60 to 0.89 for the facets, and from 0.76 to 0.90 for the factors and global score. The correlations followed theoretically expected directions, showing a stronger pattern for self-report measures than for performance tasks. Our results corroborated previous studies with the TEIQue, confirming the psychometric adequacy of the instrument in the Brazilian context. Future studies may focus on participants with lower levels of education and additional external criteria, such as career preferences, job performance, and health. (shrink)

Petrides et al. (2016) provide a comprehensive overview of research findings relating to trait emotional intelligence. The bulk of findings indicate that trait emotional intelligence is of benefit in a variety of realms, including clinical, health, social, educational, and organizational. Trait emotional intelligence has generally been studied as a quality of individuals. Conceptualizing and studying trait emotional intelligence at a systems level extends the construct and creates a foundation for additional applications and benefits. Systems can include couples, groups, societies, and (...) human–artificial intelligence interaction. (shrink)

Recent research has shown that cultural, linguistic, and sociodemographic peculiarities influence the measurement of trait emotional intelligence. Assessing trait EI in different populations fosters cross-cultural research and expands the construct’s nomological network. In mental health, the trait EI of clinical populations has been scarcely researched. Accordingly, the present study examined the relationship between trait EI and key sociodemographic variables on Trait Emotional Intelligence Questionnaire datasets with mental healthcare patients from three different Spanish-speaking countries. Collectively, these datasets comprised 528 participants, 23% (...) from Chile, 28% from Peru, and 49% from Spain. The sociodemographic variables we used for trait EI comparisons were gender, age, educational level, civil status, and occupational status. Analyses involved Multigroup Exploratory Structural Equation Modelling and analysis of covariance. Our results revealed significant between-country differences in trait EI across the studied sociodemographic variables and interactions between these variables. Measurement invariance across the datasets was attained up to the scalar level regarding gender and education, although analyses on age, civil status, and occupation displayed non-invariance. The resultant psychometric evidence supports the suitability of the TEIQue-SF for the accurate cross-cultural assessment of trait EI in mental health settings. It also highlights the importance of incorporating trait EI into extant psychotherapeutic frameworks to enhance non-pharmacological treatment efficacy. (shrink)

Neuroscientists have formulated the model of emotional intelligence based on brain imaging findings of individual differences in EI. The main objective of our study was to operationalize the advantage of high EI individuals in emotional information processing and regulation both at behavioral and neural levels of investigation. We used a self-report measure and a cognitive reappraisal task to demonstrate the role of EI in emotional perception and regulation. Participants saw pictures with negative or neutral captions and shifted from negative context (...) to neutral while we registered brain activation. Behavioral results showed that higher EI participants reported more unpleasant emotions. The Utilization of emotions scores negatively correlated with the valence ratings and the subjective difficulty of reappraisal. In the negative condition, we found activation in hippocampus, parahippocampal gyrus, cingulate cortex, insula and superior temporal lobe. In the neutral context, we found elevated activation in vision-related areas and HC. During reappraisal condition, we found activation in the medial frontal gyrus, temporal areas, vision-related regions and in cingulate gyrus. We conclude that higher EI is associated with intensive affective experiences even if emotions are unpleasant. Strong skills in utilizing emotions enable one not to repress negative feelings but to use them as source of information. High EI individuals use effective cognitive processes such as directing attention to relevant details; have advantages in allocation of cognitive resources, in conceptualization of emotional scenes and in building emotional memories; they use visual cues, imagination and executive functions to regulate negative emotions effectively. (shrink)

In this brief commentary, we present a critical reflection on trait emotional intelligence (EI) theory and research as covered in a recent narrative review (Petrides et al., 2016). We consider (a) whether synthesising research findings that use different conceptualisations of EI is desirable, (b) if the measurement of trait EI might become more diverse, (c) whether trait EI research in interpersonal settings requires additional analytical thought, and (d) how researchers might go about objectively conceptualising trait EI. Our collective focus is (...) on EI measurement as it relates to the development of trait EI theory and research in the future. (shrink)