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Article

Emotional Intelligence and Psychological Well-Being in Adolescents

by
Joan Guerra-Bustamante
1,
Benito León-del-Barco
1,
Rocío Yuste-Tosina
2,
Víctor M. López-Ramos
1 and
Santiago Mendo-Lázaro
1,*
1
Department of Psychology, Faculty of Teacher Training College, University of Extremadura, 10071 Cáceres, Spain
2
Department of Educational Science, Faculty of Teacher Training College, University of Extremadura, 10071 Cáceres, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(10), 1720; https://doi.org/10.3390/ijerph16101720
Submission received: 5 March 2019 / Revised: 26 April 2019 / Accepted: 14 May 2019 / Published: 16 May 2019
(This article belongs to the Special Issue Advanced Inequalities in Child and Adolescent Health and Well-being)
Browse Figure
Versions Notes

Abstract

:
The present study aimed to analyze the association between of the dimensions of emotional intelligence (attention, clarity, and repair) and different levels of perceived happiness (low, medium, and high) in adolescents. The sample consists of 646 students in the first, second, third, and fourth years of Secondary Education, 47.5% females and 52.5% males, between 12 and 17 years of age. The instruments used were the Spanish version of the Trait Meta Mood Scale-24 Questionnaire to measure perceived emotional intelligence and the Oxford Happiness Questionnaire. Multinomial logistic regression analysis and receiver operating characteristic (ROC) curve analysis were performed. The results suggest that as the capacity of understanding and regulation of emotional intelligence increases, happiness also increases. Adolescence is seen as an ideal time in life to encourage the development of emotional capacities that contribute to the greater happiness of individuals. In this way, the present study stresses the need to carry out practices leading to improvements in the adolescents’ emotional intelligence and therefore increase their happiness and emotional well-being.

1. Introduction

The study of happiness and emotional well-being in young people has expanded exponentially in recent years. Psychology has traditionally focused on unhappiness and paid little attention to positive aspects of human potential [1]. This approach has been evident when studying adolescence, since this period of life implies many changes and it has been long described as a moment of stress and difficulties [2]. This conception of adolescence is currently fairly different for studies do not only describe the adolescent as a source of problems but also as a valuable asset in a development process [3,4]. This change took place with the arrival of positive psychology, as one of its objectives is to promote psychological research and practice in such areas as positive traits (strengths), positive emotions, and their contribution to well-being [5].

1.1. Happiness or Psychological Well-Being

As for the study of happiness, it is essential to point out that there is no consensus about how to define it. One of the most accepted theoretical approaches states that the construct happiness refers to an emotional and cognitive type of psychological state [6], a positive affective component in which positive emotions and the subjective interpretation of well-being are fundamental [6,7,8,9,10,11,12].
On a theoretical level, the debate on happiness has two main approaches: 1) the hedonic approach, that affirms that happiness is the presence of positive affection and the absence of negative affection; and 2) the eudaimonic approach, that states that happiness is the consequence of full psychological functioning by means of which the person develops his or her potential [13]. In line with eudaimonism, it is noteworthy to mention the psychological well-being multidimensional model [14], focused in the fulfillment of human potential through six key features: autonomy, environmental control, personal growth, positive relationships with others, purpose in life, and self-acceptance [15]. Both approaches can be integrated in the “three dimensions of happiness” model [1] which are: 1) a pleasant life, understood as a pleasant feeling towards past, present and future; 2) a committed life, by using positive individual features, including character strengths and talents; and 3) a meaningful life, which means to serve and to belong to positive institutions. Subsequently, this model favored the appearance of 24 Strengths Model [16] which focuses on studying happiness in strengths and virtues.
Accordingly, they reinforce the idea of the existence of factors that determine happiness [17]. Then we find the Science of Happiness [12] which claims that happiness can be increased by the individual himself by means of certain activities. For that matter, such a vital period as adolescence is the ideal moment to increase it. In recent years, different theoretical approaches have defended a positive comprehension of adolescence, a crucial stage characterized by plasticity, the acquisition of competences and the achievement of satisfactory levels of well-being and positive adjustments [17]. It is a time when the capacity to appreciate satisfaction with life and well-being increases in a critical and conscious way [18]. Specifically, teaching adolescents to be happy functions with three main goals: as an antidote against depression, as a means of increasing life satisfaction, and as a way to enhance learning and creative thought [19].

1.2. Emotional Intelligence

One of the variables that could help to this increase of happiness during adolescence can be emotional intelligence [20]. There are two relevant models of emotional intelligence: Mixed Models and Ability Model. Mixed Models state that emotional intelligence is a compendium of stable personality features, socio-emotional competences, motivational aspects, and different cognitive abilities [21,22,23]. On the other side we find the Ability Model [24] which considers emotional intelligence as an ability focused on emotional information processing [25]. Ever since Model of Emotional Intelligence, this construct is defined as a type of social intelligence that involves the ability to monitor one’s own and others’ emotions, to discriminate among them, and to use the information to guide one’s thinking and actions [24]. Subsequently, said authors included in their definition abilities related to cognitive and emotional clarity, perception, and repair that could generate feelings that eased thinking and abilities of cognitive and emotional regulation [26]. In order to measure this construct, they designed questionnaire TMMS-24, which assesses Perceived Emotional Intelligence through three factors: attention to emotions (capability to feel and express feelings properly), emotional clarity (capability to understand the own emotional states), and emotional repair (capability to correctly regulate emotional states).

1.3. Happiness or Psychological Well-Being and Emotional Intelligence

Scientific literature highlights the major role of emotional intelligence when determining individual happiness [20]. Numerous researchers have related emotional intelligence with psychological constructs that are closely associated with happiness, such as subjective well-being [27,28], higher rates of positive emotional states and decrease of negative emotional states [29], satisfaction with life [20,30,31,32], better psychological functioning and social competence [33], and better social relations; and negative associations with loneliness [34,35,36,37,38,39,40]. Other studies have focused on the relationship between emotional intelligence and variables connected with well-being in young people, such as physical and mental health [41,42,43] and perception of stress [44]. There is therefore clear evidence that capacities of emotional intelligence predict aspects related to personal well-being and a positive relation between life satisfaction and subjective happiness [45,46].
For this matter, Hills and Argyle [47] composed the Oxford Happiness Questionnaire, which evaluates subjective happiness from these psychological dimensions, including items focused on life satisfaction, positive emotions, physical and mental health, or social relationships.
More specifically, studies made from mixed models note that the trait emotional intelligence is a constellation of capacities and self-perceived attitudes related with emotion [48]. In this regard, different studies note the existence of a positive correlation between emotional intelligence as a trait and perceived happiness [49,50]. On the other hand, from the ability model, research based on Spanish adolescent subjects shows that the abilities of clarity and repair are positively correlated with life satisfaction whereas attention correlates negatively in adolescents [51]. In the same way, the dimensions of emotional recognition and expression, and the control of emotions mediate in the relationship between fully dispositional mindfulness and subjective happiness [52]. However, it should be considered that self-perceptions and attitudes associated with people’s emotions—such as emotional regulation, relationship skills, and social competence—determine variation in happiness to a large degree [50]. Henceforth, research shows that emotional intelligence abilities imply a skill that allows adolescents to guide their thoughts and ponder over their emotions, helping them to improve their well-being levels [53]. These studies suggest that important interventions may be performed to promote flourishing and happiness, enhancing emotional intelligence through specific training [54].
The present study seeks to analyze in a sample of adolescents, the association between of the dimensions of emotional intelligence (attention, clarity, and repair) and different levels of perceived happiness (low, medium, and high). It will also identify the sensitivity and the ability to distinguish scores obtained in the Spanish version of the questionnaire Trait Meta Mood Scale [55], from which high happiness is more likely to exist.

2. Materials and Methods

2.1. Participants

The sample consists of 646 students in the first, second, third, and fourth years of Secondary Education, 47.5% females and 52.5% males, between 12 and 17 years of age. The sampling was carried out by selecting eight schools in the Community of Extremadura (Spain) at random.

2.2. Instruments

2.2.1. Trait Meta Mood Scale

The Spanish version of the questionnaire Trait Meta Mood Scale (TMMS-24) [55] has been used to evaluate perceived emotional intelligence. The questionnaire is formed by 24 items with a Likert-type five-point answer scale (1 = Do not agree, 5 = Totally agree). Three dimensions are evaluated (eight items per dimension): attention (ability to feel and express feelings appropriately); clarity (understanding of emotional states); and repair (appropriate emotional regulation). Each dimension can be classified into three traits depending on the score: Attention; 1) Attention should be improved; 2) Adequate attention; 3) Excessive attention: Clarity; 1) Clarity should be improved; 2) Adequate clarity; 3) Excellent clarity: Repair; 1) Repair should be improved; 2) Adequate repair; 3) Excellent repair. The internal consistency measured with Cronbach’s alpha was 0.826 for attention, 0.825 for clarity, and 0.833 for repair.

2.2.2. Oxford Happiness Questionnaire

The Oxford Happiness Questionnaire (OHQ) [47]. The objective of this questionnaire is to measure happiness in general, i.e., psychological well-being. A series of statements about happiness are given and the participants indicate their degree of agreement with each one. In psychometric terms, it consists of 29 items or 29 potential sources of happiness and the participants consider the extent to which they form part of their experiences. It employs a six-point Likert-type scale (1 = I totally disagree, 6 = I totally agree). The lowest score that can be obtained is 1 (if Answer 1, ‘I totally disagree’ is chosen in all the statements) and the highest is 6 (if Answer 6; ‘I totally agree’ is chosen for all the statements). In this study, the internal consistency measured with Cronbach’s alpha was 0.800.

2.3. Procedure

The procedure followed for data collection was the administration of the questionnaires by classroom group. In the first place, the educational centers were contacted to explain the objectives of the study and request authorization for the completion of the questionnaires. We followed the ethical guidelines of the American Psychological Association regarding the informed consent of the parents, due to participants’ being underage. Likewise, anonymity in the answers, the confidentiality of the obtained data, and its exclusive use for research purposes was assured. The administration of the questionnaires was carried out during school hours; it took around 50 min. in an adequate climate and without distractions. This study was approved by the Bioethics and Biosafety Committee of the University of Extremadura (no. 0063/2018).

2.4. Statistical Analysis

Firstly, we submitted the data to the assumptions of independence, normality, homoscedasticity and linearity required by the classical linear model. We did not find normality or homoscedasticity in our data, so we decided to perform a multinomial logistic regression analysis. Although it may seem that transforming a variable initially classified as continuous to categorical would mean losing information, during the analysis we gain efficiency and, mostly, clarity for interpretation. Multinomial logistic regression analysis was performed to determine the degree of association between the variables being studied. The odds ratio and their 95% confidence intervals, and the receiver operating characteristic (ROC) curve were calculated. The analysis based on the ROC curves is a statistical method to determine the diagnostic preciseness of tests that use continuous scales, and are used for three specific purposes: to establish the cut-off point at which the highest sensitivity and specificity is reached; evaluate the discriminative capacity of the diagnostic test, i.e., its capacity to differentiate healthy and sick individuals; and to compare the discriminative capacity of two or more diagnostic tests that express their results as continuous scales.

3. Results

In order to verify that emotional intelligence is associated with happiness, multinomial logistic regression analysis included happiness as a predictor variable, grouped according to a criterion of percentiles in low, medium, and high happiness and the emotional intelligence dimensions attention, clarity, and repair as predictor variables, grouped in three categories (Table 1). Gender and age of participants were included as control variables.
Both multinomial regression analyses demonstrated a satisfactory fit, χ2 (16, N = 629) = 104.922, p < 0.001 (two-tailed), ϕ = 0.048; R Nagelkerke = 0.181, enabling correct classification in 62% of the cases.
The detailed analysis of the findings according to the different emotional intelligence dimensions shows the association between happiness and perceived intra-personal emotional intelligence, so that as clarity and repair increase, the individuals see themselves as happier, and as they decrease the individuals are less happy.
To be precise, for the result of the model with the reference category happiness (Table 2), the calculations of the parameters reveal that adequate clarity (Wald = 4.205, p = 0.040), adequate repair (Wald = 8.609, p = 0.003), adequate repair (Wald = 14.759, p < 0.001), and excellent repair (Wald = 8.503, p =0.004) are associated significantly and directly with medium happiness. In addition, adequate (Wald = 10.376, p = 0.001) and excellent clarity (Wald = 8.610, p = 0.003), and adequate (Wald = 15.997, p < 0.001) and excellent repair (Wald = 25.323, p < 0.001) are correlated directly and significantly with high happiness.
The OR calculations of the model with the reference category low happiness (Table 2) show that the probability of medium happiness is twice as high among individuals with adequate clarity, 3.4 times higher with excellent repair and 2.5 times higher with adequate repair. Similarly, the probability of high happiness is 2.7 times higher with adequate clarity, 4.1 times higher with adequate repair, 5.6 times higher with excellent clarity, and 12 times higher with excellent repair.
In addition, calculations of the parameters for the reference category high happiness (Table 2) reveal that the need to improve clarity (Wald = 8.610, p = 0.003), repair (Wald = 25.323, p < 0.001), and adequate repair (Wald = 6.281, p = 0.012) are associated significantly and directly with low happiness. Equally, the need to improve clarity (Wald = 9.771, p = 0.002) and repair (Wald = 11.861, p = 0.001), and adequate clarity (Wald = 7.082, p = 0.008) and repair (Wald = 8.358, p = 0.004) are correlated directly and significantly with medium happiness.
The OR calculations of the model with the reference category high happiness (Table 3) show that the probability of low happiness is 5.6 times higher among individuals who should improve clarity, 12 times higher among those who should improve repair and 3 times higher with adequate repair. Similarly, the probability of medium happiness is 3.5 times higher among individuals who should improve clarity and repair, 2.6 times higher with adequate clarity, and 2.2 times higher with adequate repair.
In addition, a receiver operating characteristic (ROC) curve was analyzed to assess the discriminative accuracy of the emotional intelligence dimensions. This allowed the identification of the cut-out points of the emotional intelligence scores beyond which high happiness becomes more likely.
In the ROC analysis, in the non-parametric case, the curve of the clarity dimension has an area below it of 0.696, 95% CI (0.644, 0.748), p < 0.001, and the repair dimension has below it an area of 0.707, 95% CI (0.656, 0.758), p < 0.001, while in the case of the attention dimension, the area below the curve of 0.536, 95% CI (0.478, 0.595), p = 0.206, does not provide significant information (Figure 1).
The cut-off points that simultaneously optimize sensitivity and specificity, and the separate cut-off points that optimize sensitivity and specificity of the clarity and repair dimensions are shown in Table 4.
To identify high happiness, a score of 28.5 or over in the clarity dimension simultaneously maximizes sensitivity (60%) and specificity (71%) (Youden Index = 0.314). A score of 25.5 maximizes sensitivity (72%) while specificity remains higher than expected by random, and a cut-off point of 29.5 maximizes specificity (77%) while sensitivity remains higher than expected by random (Table 4). Similarly, a point of 27.5 or over in the repair dimension simultaneously maximizes sensitivity (78%) and specificity (55%) (Youden Index = 0.333). A score of 26.5 maximizes sensitivity (79%) while specificity remains higher than expected by random, and a cut-off point of 32 maximizes specificity (76%) while sensitivity remains higher than expected by random (Table 4).

4. Discussion

The present study has aimed to analyze the relationship between the dimensions of emotional intelligence (attention, clarity, and repair) and happiness in a sample of adolescents and identify the cut-off points in the emotional intelligence scores, above which high happiness is more likely.
The detailed analysis of the results demonstrates a clear association between emotional intelligence and happiness. In general, these results agree with other research analyzing the association between emotional intelligence and happiness [46,56] or variables connected with it, such as personal and social adjustment [34,35,36,37,38,39,40]. To be precise, our results show that as emotional clarity and repair increase the individuals perceive themselves to be happier, and when they decrease they are less happy. No association has been found with the attention dimension. They agree with studies on adolescent populations that have found correlations between emotional clarity and repair, but not emotional attention, and variables closely related to happiness, such as well-being and psychological health [57,58,59] and quality of life [60].
This positive relation between happiness and emotional clarity and repair factors show that both abilities are indicators of a better emotional adjustment in adolescents [61,62,63]. Thus, the scores for clarity and repair above which happiness is maximized are situated within the established ranges for adequate emotional clarity and repair [55]. The results underscore that emotional repair has a greater association with happiness. In this line, several researchers have noted that the repair of emotions is fundamental for appropriate psychological functioning and mental health [64,65,66,67]. Adolescents with higher levels of emotional repair tend to carry out pleasant distracting activities, which can contribute to a greater feeling of happiness [68].
However, the question is: why is emotional attention not related to happiness? Although emotional attention is necessary for adaptation, paying too much attention to emotions is usually associated with maladaptive factors incompatible with happiness, such as anxiety, depression, hypervigilance, rumination, and catastrophization [32,33,51]. Therefore, from this point of view, excessive attention must be associated with low happiness. In contrast, emotional attention implies being aware of the feelings that produce pleasure (happiness) or discomfort (unhappiness). All emotions have a positive function and situations that cause discomfort are inevitable. Therefore, happiness cannot depend on their absence, but on a balance between the quantity and intensity of pleasant/unpleasant. In such a way, people who pay too much attention to their emotions and moods and do not have an adequate emotional clarity and repair would not be capable enough to understand and regulate the different emotional states [69,70,71,72].

Study Limitations

This was a transversal study; therefore, causal associations cannot be made. Likewise, the sample used and its size restricts generalizability of results. In addition, on the one hand, using the perceptions that the individuals have of their own capacities and feelings hinders the possibility of controlling possible respondent bias. It would therefore be useful to combine their own replies to the questionnaire with tests that are able to evaluate real aptitudes to solve emotional problems. On the other, although the criterion of assigning percentiles to the groups of high, medium, and low happiness allows comparisons to be made between happier or less happy individuals, it does not guarantee the identification of the happy and unhappy individuals, and consequently the results should be interpreted with a degree of caution. Despite these limitations, this study makes interesting contributions to understanding the association between emotional intelligence and happiness.

5. Conclusions

The conclusions of the present study support the idea that some capacities may help to increase the attainment of health and emotional well-being during adolescence. More precisely, it has shown that as adolescents’ capacities of comprehension and emotional regulation increase, so does their subjective happiness. The important role of emotional regulation should be stressed because it is an additional factor associated with happiness.
Finally, we are aware that the educational context is the best setting in which to establish policies promoting emotional health and well-being that can reach all the students and put an end to possible inequalities in the learning of those resources. This study has attempted to determine the specific dimensions that should be focused on when teaching emotional capacities as a variable promoting happiness and emotional well-being and health during this key period of life. To be exact, the capacities of understanding and regulating emotions can be developed and increased in adolescents as a way for their perception of their own happiness to increase.

Author Contributions

J.G.-B., B.L.-d.B., and S.M.-L. designed the study and they had full access to all the data in the study. B.L.-d.B. and S.M.-L. performed all statistical analyses and the interpretation of the data. J.G.-B., B.L.-d.B., R.Y.-T., V.M.L.-R., and S.M.-L. took part in the conduct of the survey and contributed to manuscript preparation. All authors have read and approved the final manuscript.

Funding

This work has been funded by the support to Consolidation of Research Groups (Junta de Extremadura GR18091/18.HJ.11). The authors would like to thank their support.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Seligman, M.E.P. Positive psychology: Fundamental assumptions. Psychologist 2003, 16, 126–127. [Google Scholar]
  2. Viejo, C.; Gómez-López, M.; Ortega-Ruiz, R. Adolescents’ psychological well-being: A multidimensional measure. Int. J. Environ. Res. Public Health 2018, 15, 2325. [Google Scholar] [CrossRef] [PubMed]
  3. Arguedas, I.; Jiménez, F. Factores que promueven la permanencia de los estudiantes en la educación secundaria. Rev. Educ. Super. 2018, 46, 117–138. [Google Scholar] [CrossRef]
  4. Roth, J.L.; Brooks-Gunn, J. What exactly is a youth development program? Answers from research and practice. Appl. Dev. Sci. 2003, 7, 94–111. [Google Scholar] [CrossRef]
  5. Wellenzohn, S.; Proyer, R.T.; Ruch, W. Who benefits from humor-based positive psychology interventions? The moderating effects of personality traits and sense of humor. Front. Psychol. 2018, 9, 821–828. [Google Scholar] [CrossRef]
  6. Moyano, E.; Ramos, N. Bienestar subjetivo: Midiendo satisfacción vital, felicidad y salud en población chilena de la Región Maule. Universum (Talca) 2007, 22, 177–193. [Google Scholar] [CrossRef]
  7. Avia, M.D.; Vázquez, C. Optimismo Inteligente; Alianza: Madrid, Spain, 1999. [Google Scholar]
  8. Diener, E.; Suh, E.M.; Lucas, R.E.; Smith, H.L. Subjective well-being: Three decades of progress. Psychol. Bull. 1999, 125, 276–302. [Google Scholar] [CrossRef]
  9. Seligman, M.E.P.; Csikszentmihalyi, M. Positive psychology. An introduction. Am. Psychol. 2000, 55, 5–14. [Google Scholar] [CrossRef]
  10. Arita, B. Satisfacción por la vida y teoría homeostática del bienestar. Psicol. Salud 2005, 15, 121–126. [Google Scholar]
  11. Veenhoven, R. Lo que sabemos de la felicidad. In Calidad de Vida y Bienestar Subjetivo en México; Garduño, E.L., Salinas, A.B., Rojas, H.M., Eds.; Plaza y Valdés: Madrid, Spain, 2005; pp. 17–65. [Google Scholar]
  12. Lyubomirsky, S. La Ciencia de la Felicidad: Un Método Probado para Conseguir el Bienestar; Urano: Barcelona, Spain, 2008. [Google Scholar]
  13. Vázquez, C.; Hervás, G.; Rahona, J.J.; Gómez, D. Bienestar psicológico y salud: Aportaciones desde la Psicología Positiva. Anu. Psicol. Clínica Salud 2009, 5, 15–28. [Google Scholar]
  14. Ryff, C.D. Happiness is everything, or is it? J. Personal. Soc. Psychol. 1989, 57, 1069–1081. [Google Scholar] [CrossRef]
  15. Ryff, C.D. Eudaimonic well-being, inequality, and health: Recent findings and future directions. Int. Rev. Econ. 2017, 64, 159–178. [Google Scholar] [CrossRef]
  16. Peterson, C.; Ruch, W.; Beermann, U.; Park, N.; Seligman, M.E. Strengths of character, orientations to happiness, and life satisfaction. J. Posit. Psychol. 2007, 2, 149–156. [Google Scholar] [CrossRef] [Green Version]
  17. Lyubomirsky, S.; Sheldon, K.M.; Schkade, D. Pursuing happiness: The architecture of sustainable change. Rev. Gen. Psychol. 2005, 9, 111–131. [Google Scholar] [CrossRef]
  18. Belmares, P.R.; Aznar, M.P.M.; Bermúdez, J.Á. Gender and quality of life in adolescence. J. Health Soc. Behav. 2017, 9, 89–98. [Google Scholar] [CrossRef]
  19. Giménez, M.; Vázquez, C.; Hervás, G. The analysis of the psychological strengths in adolescence: Beyond vulnerability models. Psychol. Soc. Educ. 2010, 2, 83–100. [Google Scholar] [CrossRef]
  20. Di Fabio, A.; Kenny, M.E. From decent work to decent lives: Positive self and relational management (PS&RM) in the twenty-first century. Front. Psychol. 2016, 7, 361. [Google Scholar] [CrossRef]
  21. Bar-On, R.; Parker, J.D. The Handbook of Emotional Intelligence: Theory, Development, Assessment, and Application at Home, School, and in the Workplace; JosseyBass: San Francisco, CA, USA, 2000. [Google Scholar]
  22. Boyatzis, R.E.; Goleman, D.; Rhee, K. Clustering competence in emotional intelligence: Insights from the Emotional Competence Inventory (ECI). In Handbook of Emotional Intelligence; Bar-On, R., Parker, D.A., Eds.; JosseyBass: San Francisco, CA, USA, 2000; pp. 343–362. [Google Scholar]
  23. Goleman, D. Emotional Intelligence; Bantam Books: New York, NY, USA, 1995; ISBN 055309503X. [Google Scholar]
  24. Salovey, P.; Mayer, J.D. Emotional intelligence. Imagin. Cogn. Personal. 1990, 9, 185–211. [Google Scholar] [CrossRef]
  25. Fernández-Berrocal, P.F.; Pacheco, N.E. Emotional intelligence and emotional education from Mayer and Salovey’s model. Rev. Interuniv. Form. Profr. 2005, 19, 63–93. [Google Scholar]
  26. Mayer, J.D.; Salovey, P. What is emotional intelligence. In Emotional Development and Emotional Intelligence: Educational Implications; Salovey, P., Sluyter, D.J., Eds.; Harper Collins: New York, NY, USA, 1997; pp. 3–34. [Google Scholar]
  27. Cejudo, J.; Rodrigo-Ruiz, D.; López-Delgado, M.L.; Losada, L. Emotional intelligence and its relationship with levels of social anxiety and stress in adolescents. Int. J. Environ. Res. Public Health 2018, 15, 1073. [Google Scholar] [CrossRef]
  28. Balluerka, N.; Gorostiaga, A.; Alonso-Arbiol, I.; Aritzeta, A. Peer attachment and class emotional intelligence as predictors of adolescents’ psychological well-being: A multilevel approach. J. Adolesc. 2016, 53, 1–9. [Google Scholar] [CrossRef] [PubMed]
  29. Sánchez-Álvarez, N.; Extremera, N.; Fernández-Berrocal, P. The relation between emotional intelligence and subjective well-being: A meta-analytic investigation. J. Posit. Psychol. 2016, 11, 276–285. [Google Scholar] [CrossRef]
  30. Seligman, M.E.P.; Ernst, R.M.; Gillham, J.; Reivich, K.; Linkins, M. Positive education: Positive psychology and classroom interventions. Oxf. Rev. Educ. 2009, 35, 293–311. [Google Scholar] [CrossRef]
  31. Austin, E.J.; Saklofske, D.H.; Egan, V. Personality, well-being and health correlates of trait emotional intelligence. Personal. Individ. Differ. 2005, 38, 547–558. [Google Scholar] [CrossRef]
  32. Fernández-Berrocal, P.; Extremera, N.; Ramos, N. Validity and reliability of the Spanish modified version of the Trait Meta-Mood Scale. Psychol. Rep. 2004, 94, 751–755. [Google Scholar] [CrossRef] [PubMed]
  33. Rivers, S.E.; Brackett, M.A.; Reyes, M.R.; Mayer, J.D.; Caruso, D.R.; Salovey, P. Measuring emotional intelligence in early adolescence with the MSCEIT-YV psychometric properties and relationship with academic performance and psychosocial functioning. J. Psychoeduc. Assess. 2012, 30, 344–366. [Google Scholar] [CrossRef]
  34. Dawda, D.; Hart, S.D. Assessing emotional intelligence: Reliability and validity of the Bar-On Emotional Quotient Inventory (EQ-i) in university students. Personal. Individ. Differ. 2000, 28, 797–812. [Google Scholar] [CrossRef]
  35. Ciarrochi, J.V.; Chan, A.C.; Caputi, P. A critical evaluation of the emotional intelligence construct. Personal. Individ. Differ. 2000, 28, 539–561. [Google Scholar] [CrossRef]
  36. Ciarrochi, J.V.; Chan, A.; Bajgar, J. Measuring emotional intelligence in adolescents. Personal. Individ. Differ. 2001, 32, 197–209. [Google Scholar] [CrossRef]
  37. Palmer, B.; Donaldson, C.; Stough, C. Emotional intelligence and life satisfaction. Personal. Individ. Differ. 2002, 33, 1091–1100. [Google Scholar] [CrossRef]
  38. Saklofske, D.H.; Austin, E.J.; Minski, P.S. Factor structure and validity of a trait emotional intelligence measure. Personal. Individ. Differ. 2003, 34, 707–721. [Google Scholar] [CrossRef]
  39. Berrios, M.P.; Augusto-Landa, J.M.; Aguilar-Luzón, M.C. Perceived emotional intelligence and job satisfaction among nurse professionals. Index Enferm 2006, 54, 30–34. [Google Scholar]
  40. Schutte, N.S.; Malouff, J.M.; Hall, L.E.; Haggerty, D.J.; Cooper, J.T.; Golden, C.J.; Dornheim, L. Development and validation of a measure of emotional intelligence. Personal. Individ. Differ. 1998, 25, 167–177. [Google Scholar] [CrossRef]
  41. Fernández-Berrocal, P.; Extremera, N. Ability emotional intelligence, depression, and well-being. EMR 2016, 8, 311–315. [Google Scholar] [CrossRef]
  42. Petrides, K.V.; Mikolajczak, M.; Mavroveli, S.; Sanchez-Ruiz, M.J.; Furnham, A.; Pérez-González, J.C. Developments in trait emotional intelligence research. EMR 2016, 8, 335–341. [Google Scholar] [CrossRef]
  43. Martins, A.; Ramalho, N.; Morin, E. A comprehensive meta-analysis of the relationship between Emotional Intelligence and health. Personal. Individ. Differ. 2010, 49, 554–564. [Google Scholar] [CrossRef]
  44. Mikolajczak, M.; Roy, E.; Luminet, O.; Fillée, C.; de Timary, P. The moderating impact of emotional intelligence on free cortisol responses to stress. Psychoneuroendocrinology 2007, 32, 1000–1012. [Google Scholar] [CrossRef] [PubMed]
  45. Mikulic, I.M.; Crespi, M.C.; Cassullo, G.L. Emotional Intelligence, vital satisfaction and resilient potential assessment in a sample of students of psychology. Anu. Investig. 2010, 17, 169–178. [Google Scholar]
  46. Rey, L.; Durán, A.; Extremera, N. La inteligencia emocional percibida y su influencia sobre la satisfacción vital, la felicidad subjetiva y el “engagement” en trabajadores de centros para personas con discapacidad intelectual. Ansiedad Estrés 2005, 11, 63–73. [Google Scholar]
  47. Hills, P.; Argyle, M. The Oxford happiness questionnaire: A compact scale for the measurement of psychological well-being. Personal. Individ. Differ. 2002, 33, 1073–1082. [Google Scholar] [CrossRef]
  48. Petrides, K.V.; Furnham, A. Trait emotional intelligence: Psychometric investigation with reference to established trait taxonomies. Eur. J. Personal. 2001, 15, 425–448. [Google Scholar] [CrossRef]
  49. Chamorro-Premuzic, T.; Bennett, E.; Furnham, A. The happy personality: Mediational role of trait emotional intelligence. Personal. Individ. Differ. 2007, 42, 1633–1639. [Google Scholar] [CrossRef]
  50. Furnham, A.; Petrides, K.V. Trait emotional intelligence and happiness. Soc. Behav. Personal. 2003, 31, 815–823. [Google Scholar] [CrossRef]
  51. Gascó, V.; Villanueva, L.; Górriz Plumed, A.B. Trait emotional intelligence and subjective well-being in adolescents: The moderating role of feelings. Psicothema 2018, 30, 310–315. [Google Scholar] [CrossRef]
  52. Teal, C.; Downey, L.A.; Lomas, J.E.; Ford, T.C.; Bunnett, E.R.; Stough, C. The role of dispositional mindfulness and emotional intelligence in adolescent males. Mindfulness 2019, 10, 159–167. [Google Scholar] [CrossRef]
  53. Fernández-Berrocal, P.; Pacheco, N.E. La inteligencia emocional y el estudio de la felicidad. Rev. Interuniv. Form. Profr. 2009, 23, 85–108. [Google Scholar]
  54. Callea, A.; De Rosa, D.; Ferri, G.; Lipari, F.; Costanzi, M. Are more intelligent people happier? Emotional intelligence as mediator between need for relatedness, happiness and flourishing. Sustainability 2019, 11, 1022. [Google Scholar] [CrossRef]
  55. Fernández-Berrocal, P.; Alcaide, R.; Domínguez, E.; Fernández-McNally, C.; Ramos, N.S.; Ravira, M. Adaptación al castellano de la escala rasgo de metaconocimiento sobre estados emocionales de Salovey et al.: Datos preliminares. In Libro de Actas del V Congreso de Evaluación Psicológica; Universidad de Málaga: Málaga, Spain, 1998; Volume 1, pp. 83–84. [Google Scholar]
  56. Acosta, F.P.; Clavero, F.H. Relationship between happiness, emotional intelligence and sociodemographic factors in secondary education. Anu. Psicol. 2018, 48, 34–42. [Google Scholar]
  57. Fierro, A.; Fierro-Hernández, C. Inteligencia emocional, bienestar, adaptación y factores de personalidad en adolescentes. In Comportamiento y Palabra: Estudios; Giménez, A., Ed.; Facultad de Psicología: Málaga, Spain, 2005; pp. 18–92. [Google Scholar]
  58. Martín, M.L.; Harillo, D.A.; Mora, J.A. Relaciones entre inteligencia emocional y ajuste psicológico en una muestra de alumnos de enseñanza secundaria. Ansiedad Estrés 2008, 14, 31–41. [Google Scholar]
  59. Ferragut, M.; Fierro, A. Emotional intelligence, well-being and academic achievement in preadolescents. Rev. Latinoam. Psicol. 2012, 44, 95–104. [Google Scholar]
  60. Liu, Y.; Wang, Z.; Lü, W. Resilience and affect balance as mediatos betwen trait emotional intellience and life satisfaction. Personal. Individ. Differ. 2013, 54, 799–868. [Google Scholar] [CrossRef]
  61. Fernández-Berrocal, P.; Ramos, N.; Extremera, N. Inteligencia emocional, supresión crónica de pensamientos y ajuste psicológico. Boletín Psicol. 2001, 70, 79–95. [Google Scholar]
  62. Salovey, P.; Bedell, B.; Detweiler, J.B.; Mayer, J.D. Coping intelligently: Emotional intelligence and the coping process. In Coping: The Psychology of What Works; Snyder, C.R., Ed.; Oxford University Press: New York, NY, USA, 1999; pp. 141–164. [Google Scholar]
  63. Salovey, P.; Mayer, J.D.; Goldman, S.L.; Turvey, C.; Palfai, T.P. Emotional attention, clarity, and repair: Exploring emotional intelligence using the Trait Meta-Mood Scale. In Emotion, Disclosure, & Health; Pennebaker, J.W., Ed.; American Psychological Association: Washington, DC, USA, 1995; pp. 125–151. [Google Scholar]
  64. Gross, J.J.; Thompson, R.A. Emotion regulation: Conceptual foundations. In Handbook of Emotion Regulation; Gross, J.J., Ed.; Guilford Press: New York, NY, USA, 2007; pp. 3–24. [Google Scholar]
  65. Morris, A.S.; Silk, J.S.; Steinberg, L.; Myers, S.S.; Robinson, L.R. The role of the family context in the development of emotion regulation. Soc. Dev. 2007, 16, 361–388. [Google Scholar] [CrossRef]
  66. Hofmann, S.G.; Heering, S.; Sawyer, A.T.; Asnaani, A. How to handle anxiety: The effects of reappraisal, acceptance, and suppression strategies on anxious arousal. Behav. Res. Ther. 2009, 47, 389–394. [Google Scholar] [CrossRef] [PubMed]
  67. Teixera, A.; Silva, E.; Tavares, D.; Freire, T. Portuguese validation of the Emotion Regulation Questionnaire for Children and Adolescents (ERQ-CA): Relations with self-steem and life satisfaction. Child Indic. Res. 2015, 8, 605–621. [Google Scholar] [CrossRef]
  68. Fuentes, A.M.M.; Kahn, J.H.; Lannin, D.G. Emotional disclosure and emotion change during an expressive-writing task: Do pronouns matter? Curr. Psychol. 2018, 1–8. [Google Scholar] [CrossRef]
  69. Extremera, N.; Fernández Berrocal, P. Emotional intelligence as predictor of mental, social and physical health in university students. Span. J. Psychol. 2006, 9, 45–51. [Google Scholar] [CrossRef]
  70. Fernández-Berrocal, P.; Salovey, P.; Vera, A.; Extremera, N.; Ramos, N. Cultural influences on the relation between perceived emotional intelligence and depression. Rev. Int. Psychol. Soc. 2005, 18, 91–107. [Google Scholar]
  71. Fernandez-Berrocal, P.; Alcalde, R.; Extremera, N.; Pizarro, D.A. The role of emotional intelligence in anxiety and depression among adolescents. Individ. Differ. Res. 2006, 4, 16–27. [Google Scholar]
  72. Martínez González, A.E.; Piqueras, J.A.; Linares, V.R. Emotional Intelligence in physical and mental health. IJEP 2010, 8, 861–890. [Google Scholar] [CrossRef]
Ijerph 16 01720 g001 550
Figure 1. ROC curve for the TMMS-24 dimensions predicting the presence of high happiness.
Figure 1. ROC curve for the TMMS-24 dimensions predicting the presence of high happiness.
Ijerph 16 01720 g001
Table
Table 1. Categorization and frequencies of the study variables and descriptive statistics of the OHQ-SF questionnaire.
Table 1. Categorization and frequencies of the study variables and descriptive statistics of the OHQ-SF questionnaire.
VariablesCategoriesFrequenciesDescriptives of the OHQ-SF
N%MSDMin.Max.
OHQ-SFLow (P ≤ 20)12519.9%3.510.332.143.83
Medium (20 < P < 80)37759.9%4.320.263.864.76
High (P ≥ 80)12720.2%5.070.244.795.83
TMMS-24 AttentionLittle25841.0%4.290.552.145.59
Adequate31950.7%4.320.572.455.83
Excessive528.3%4.430.623.075.59
TMMS-24 ClarityShould improve25139.9%4.130.562.145.55
Adequate32752.0%4.390.512.215.76
Excellent518.1%4.730.583.625.83
TMMS-24 RepairShould improve18529.4%4.020.602.145.59
Adequate33753.6%4.370.473.105.76
Excellent10717.0%4.640.533.345.83
Total6296291004.310.562.14
M = mean, SD = standard deviation. P = Percentile.
Table
Table 2. Multinomial logistic regression model examining the probability of perceiving low happiness according to the degree of emotional attention, clarity, and repair.
Table 2. Multinomial logistic regression model examining the probability of perceiving low happiness according to the degree of emotional attention, clarity, and repair.
FactorsMedium HappinessHigh Happiness
BORIC 95%BORIC 95%
Excessive attention 20.4290.4560.1971.058−0.4740.6230.2341.654
Adequate attention 20.2300.7650.4871.200−0.3200.7260.4081.293
Excellent clarity 30.5601.6070.5374.8111.730 *5.6431.77617.928
Adequate clarity 30.238 *2.0081.2603.1991.009 *2.7431.4855.069
Excellent repair 40.422 *3.4241.4977.8332.496 *12.1334.59032.074
Adequate repair 40.238 *2.4991.5663.9881.414 *4.1122.0578.221
Reference categories: 1 Low happiness. Groups compared: 2 little attention: 3 should improve clarity; 4 should improve repair. * p < 0.05. OR: odds ratio. CI: confidence interval.
Table
Table 3. Multinomial logistic regression model examining the probability of perceiving high happiness according to the degree of emotional attention, clarity, and repair.
Table 3. Multinomial logistic regression model examining the probability of perceiving high happiness according to the degree of emotional attention, clarity, and repair.
FactorsLow Happiness 1Medium Happiness 1
BORIC 95%BORIC 95%
Adequate attention 2−0.4740.6230.2341.6540.3111.3640.6262.972
Little attention 2−0.1540.8580.3372.1800.3621.4370.6813.031
Clarity should be improved 31.730 *5.6431.77617.9281.256 *3.5131.5987.723
Adequate clarity 30.7212.0570.6856.1790.944 *2.5711.2835.154
Repair should be improved 42.496 *12.1334.59032.0741.265 *3.5431.7257.278
Adequate repair 41.082 *2.9511.2666.8780.767 *2.1541.2803.622
Reference categories: 1 High happiness. Groups compared: 2 Excessive attention; 3 Excellent clarity; 4 Excellent repair. * p < 0.05. OR odds ratio. CI confidence interval.
Table
Table 4. Sensitivity, specificity and Youden Index for the scores of the clarity and repair dimensions in the TMMS-24.
Table 4. Sensitivity, specificity and Youden Index for the scores of the clarity and repair dimensions in the TMMS-24.
TMMS-24Cut-off PointSensitivitySpecificityYouden Index
Dimension Clarity25.5 *0.7240.5060.229
26.00.7050.5350.240
26.50.6850.5660.251
27.00.6700.6020.271
27.50.6540.6370.291
28.00.6260.6760.303
28.5 ***0.5980.7150.314
29.00.5550.7440.300
29.5 **0.5120.7730.285
Dimension Repair26.5 *0.7870.5020.289
27.00.7840.5280.311
27.5 ***0.7800.5540.333
28.00.7520.5770.329
28.50.7240.6000.324
29.00.7010.6230.324
29.50.6770.6450.323
30.00.6340.6730.308
30.50.5910.7010.292
31.00.5670.7210.288
31.50.5430.7410.284
32.0 **0.5160.7620.278
*** Score that maximizes sensitivity and specificity at the same time. * Score that maximizes sensitivity. ** Score that maximizes specificity.

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Guerra-Bustamante, J.; León-del-Barco, B.; Yuste-Tosina, R.; López-Ramos, V.M.; Mendo-Lázaro, S. Emotional Intelligence and Psychological Well-Being in Adolescents. Int. J. Environ. Res. Public Health 2019, 16, 1720. https://doi.org/10.3390/ijerph16101720

AMA Style

Guerra-Bustamante J, León-del-Barco B, Yuste-Tosina R, López-Ramos VM, Mendo-Lázaro S. Emotional Intelligence and Psychological Well-Being in Adolescents. International Journal of Environmental Research and Public Health. 2019; 16(10):1720. https://doi.org/10.3390/ijerph16101720

Chicago/Turabian Style

Guerra-Bustamante, Joan, Benito León-del-Barco, Rocío Yuste-Tosina, Víctor M. López-Ramos, and Santiago Mendo-Lázaro. 2019. "Emotional Intelligence and Psychological Well-Being in Adolescents" International Journal of Environmental Research and Public Health 16, no. 10: 1720. https://doi.org/10.3390/ijerph16101720

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