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Physical activity and emotional intelligence among undergraduate students: a correlational study

BMC Public Health volume 19, Article number: 1241 (2019) Cite this article

Abstract

Background

Physical activity (PA) can be a mechanism that develops emotions. Emotional intelligence (EI) is related to significant public health and psychological benefits. However, there is little information about the relationships between PA and EI dimensions: emotional attention, clarity, and repair. This study examined the possible relationships between these variables in undergraduate students from Madrid. As a secondary aim, sex differences in PA domains and EI dimensions were examined.

Methods

A total of 2960 (21.34 ± 4.34 years) undergraduate students from Madrid (Spain) fulfilled the Trait Meta-Mood Scale (TMMS-24) and Global Physical Activity Questionnaire (GPAQ). We used a MANOVA to compare EI and PA levels according to sex. Different linear regressions were conducted to calculate the PA and age prediction power based on EI.

Results

We found a significant association between EI dimensions and PA levels, although these relationships were small. Fully adjusted linear regression showed that sex and leisure-time PA (LTPA) were associated of emotional attention (r2c = .025). Sex, age, and LTPA were associated of emotional repair (r2c = .024). There were statistically significant differences in EI by sex (p ≤ .001; η2p = .039), with higher scores in emotional attention for women (p ≤ .001) and emotional clarity (p ≤ .001) and repair (p ≤ .001) for men. PA levels differed according to sex (p ≤ .001; η2p = .038). Men show higher scores in LTPA levels (p = .002) and occupational PA (p ≤ .001).

Conclusions

Undergraduate students with higher levels of LTPA showed a better score on EI, specifically in emotional attention and emotional repair. However, these associations and the predictive power of LTPA regarding emotional attention and emotional repair were weak. Men engaged in more LTPA and occupational PA and had higher emotional clarity and emotional repair than women. However, women had higher emotional attention.

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Background

Physical activity (PA) is related to physical [1,2,3,4,5], mental and social wellness [6,7,8,9,10,11]. In the specific case of mental health, previous studies have found that individuals who are engaged in PA demonstrate better psychological wellness and suffer less stress and depression. These findings involved teenagers [12, 13], undergraduate students [14, 15] and the elderly [16, 17]. However, PA levels are low in the university population worldwide. A meta-analysis of undergraduate student PA habits shows that between 40 and 50% do not meet the recommendations for PA [18].

Emotional intelligence (EI) is defined as the ability to perceive accurately, appraise, and express emotions; the ability to generate feelings when they facilitate thought, understand emotion and emotional knowledge and to regulate emotions to promote emotional and intellectual growth [19]. According to previous studies, higher scores in EI result in greater wellness and happiness [20,21,22], better job performance [23,24,25], more prosocial behaviour [26], and less aggressive behaviour [27]. It also correlates positively with positive mood and negatively with negative mood [28]. Similarly, various meta-analyses confirm that EI has a significant relationship with better mental health and, furthermore, is a mediator of stress [29, 30]. High levels of EI correlate negatively with low mental and physical health and are related to healthy habits such as not smoking or drinking alcohol, and with a healthy diet or more exercise [31,32,33]. Some sociodemographic factors may be relevant in EI. Different studies have demonstrated that women show significantly higher levels of EI compared to men [34,35,36]. EI levels increase progressively with age [37].

Individuals who perform PA experiment emotional changes during their PA practice [38,39,40]. For instance, PA and sports offer the opportunity to face challenges, collaborate being part of a team, and compete with oneself [41]. PA and sport experiences can be a mechanism that develops emotions. Thus, PA enhances positive mood [42], positive and pleasant emotions [43, 44], and elevates a sense of happiness [45]. Besides, PA can be used to self-regulate and to modulate mood changes [44]. Several studies have analysed the relationship between EI and performance in sports such as hockey or cricket, showing that EI has a positive association with team performance and individual performance [46,47,48]. Other research compared judo and taekwondo athletes with non-athletes and found that athletes demonstrated better EI levels [49]. There are a limited number of studies analysing the relationship between EI and PA levels [50]. Methodological differences also complicate comparison among study outcomes [44]. The majority of revised studies show a positive association between EI and PA levels [51,52,53]. EI is thus better in those individuals who meet exercise recommendations, compared with the individuals who do not [52, 53]. Similarly, significant differences have been found in EI between physically active and inactive individuals; active individuals showed better EI [54]. Other studies show significant correlations between EI and the amount of exercise done [31, 55,56,57]. Barreiro et al. [58] studied the differences in EI among non-practitioners of PA, PA practitioners, and PA practitioners involved in federated sports. The EI of the practitioners involved in federated sports was significantly higher than that of non-practitioners. However, two studies did not find relationships between PA intervention and EI [59, 60]. Although most of the revised studies find positive associations between EI and PA, the fact is that most of the relationships found between these variables are weak.

The primary objective of this paper was to analyse the associations between the specific PA domains [occupational physical activity (OPA), commuting physical activity (CPA), and leisure-time physical activity (LTPA)], and the different dimensions of EI (emotional attention, emotional clarity, and emotional repair). As a secondary aim, sex differences in PA domains and EI dimensions were examined.

Methods

Participants

The survey was carried out as a relational and cross-sectional study. The sample comprised 2960 undergraduate students from the Community of Madrid excluding online bachelor’s degree students. Disproportionate stratified sampling was used according to the type of university (public or private) and the subject areas of the students (social and legal sciences, engineering and architecture, arts and humanities, health sciences and science). Participation was voluntary and confidential, and informed consent was obtained from participants before completing the survey.

Data collection

Participants were contacted through their lecturers, who sent them a Google Forms Questionnaire. Sociodemographic information was collected for the possible moderating effect of sex and age, related to the associations between EI and PA. Participants completed PA and EI questionnaires. The sample was collected from April to December of 2017.

Emotional intelligence

EI was measured using the Spanish version of the Trait Meta-Mood Scale (TMMS-24). Its self-report assessment consists of 24 items with a five-point Likert scale, which, as in the original version, is subdivided into three dimensions: Emotional attention (EA), emotional clarity (EC), and emotional repair (ER). This version was validated by Fernández et al. [61]. Our results demonstrate similar internal consistency in the three sub-scales: EA, α = .89; EC, α = .9; and ER, α = .85). The tool describes EA (eight items) as the extent to which a participant observes and thinks about their feelings. EC evaluates the participant’s understanding of their emotional states, and ER their ability to regulate their emotional states correctly.

Physical activity

PA was measured using the second version of the Global Physical Activity Questionnaire (GPAQv2). It has been validated, and collects information about PA in a typical week, comprising 16 questions [62, 63]. It was developed as an improvement to the International Physical Activity Questionnaire (IPAQ) which was validated and used to assess PA patterns [64]. GPAQv2 shows good reliability and poor-fair validity, similar to other self-report tools that evaluate PA patterns [65]. This questionnaire provides information about intensity (vigorous or moderate), frequency (days of performance in a typical week), and duration (hours and minutes in a typical day), and it assesses three domains in which physical activity is performed: 1) occupational physical activity (OPA) (paid or unpaid job, study, housework or job search); 2) commuting physical activity (CPA) (walking or cycling), and 3) leisure-time physical activity (LTPA). We used the Spanish version of GPAQv2, without any content or text changes.

PA was estimated according to metabolic equivalent (METs), including total time, number of days, and the intensity of the PA performed in the three domains. Following the GPAQv2 analysis process [66], activities were measured as METs: moderate activities (4 METs) and vigorous activities (8 METs).

Statistical methods

The data collected by the questionnaires were analysed using the Statistical Package for the Social Sciences (SPSS v21). A descriptive analysis was performed to explore the sample characteristics, and PA levels were calculated using the GPAQv2.

The sample characteristics are described by frequency, percentages, mean (M), and standard deviation (SD). The analyses were stratified by sex. We performed a MANOVA to examine the association between EI and PA levels based on sex. A Bivariate Pearson correlation was calculated to assess the relationships between EI dimensions, PA levels, and age. Hierarchical multiple regressions were performed to analyse the contribution of every PA domain on EI dimensions, unadjusted and adjusted for sex and age. We used η2p and r2 to interpret the effect size, defining values under 0.06 as a small effect, values between 0.06 and 0.14 as a moderate effect, and values above 0.14 as a large effect.

Results

A sample of 2960 undergraduate students participated in this study. The mean age of participants was 21.34 ± 4.34 years: 21.31 ± 4.01 years for men and 21.36 ± 4.49 years for women. Demographic data are presented in Table 1. In EI, participants showed averages of 29.9 ± 6.2 in EA, 27.6 ± 6.1 in EC, and 27.8 ± 5.8 in ER. While in PA, the means were 548.6 ± 1798.6 in OPA, 654.8 ± 1129.7 in CPA, and 1816.6 ± 2337.0 in LTPA.

Table 1 Sample demographic data
Full size table

Table 2 shows EI predictors estimations. Linear regression coefficients of physical activity domains on emotional intelligence dimensions were calculated in two models: the unadjusted model (model 1) and a fully adjusted model (model 2).

Table 2 Unadjusted and adjusted linear regression coefficients of physical activity domains on emotional intelligence dimensions
Full size table

Unadjusted linear regression model shows that sex and LTPA are associated with EA; sex and age are associated with EC; and sex, age, LTPA, OPA, and CPA are associated with ER.

The fully adjusted linear regression model shows that sex and LTPA are predictors of EA; sex and age are predictors of EC; and sex, age, and LTPA are predictors of ER. The adjusted r2c value was low for al EI dimension being .025 for EA, .024 for EC, and .024 for ER.

Table 3 shows a descriptive summary of EI dimensions according to sex. There were significant differences in the three EI dimensions scores according to sex (F (3, 2956) = 39.58, p ≤ .001; η2p = .039). Women’s scores were significantly higher in EA (p ≤ .001) and men were higher in EC (p ≤ .001) and ER (p ≤ .001).

Table 3 Emotional intelligence univariate analysis according to sex
Full size table

Table 4 shows the differences found in PA levels according to sex (F (3, 2956) = 39.204, p ≤ .000; η2p = .038). Men report scores significantly higher than women for OPA (p = .002) and LTPA (p ≤ .001).

Table 4 Physical activity (METs) univariate analysis according to sex
Full size table

Discussion

This study analysed the possible relationships among different PA domains (OPA, CPA, and LTPA) and EI dimensions (EA, EC, and ER) in undergraduate students. The outcomes may confirm the relationship between some PA domains and some EI dimensions. Specifically, the higher LTPA levels, the higher ER and the lower EA.

Although it is small, our findings confirm the relationship between PA and EI, just as previous studies have demonstrated in undergraduate students sample [52, 54, 57, 67], with small significant positive relationships between EI and PA as well. Dev Omar et al. [68] were the only who showed large significant differences in EI based on PA (η2p = .28). Demographic reasons, such as the higher age and the subject area of studies (sports, psychology, and education) of the sample may explain the discrepancy of the findings of this study.

Various studies have analysed differences according to sex, using tools that measure EI with a global score, and found higher EI scores for women than men [34,35,36]. The present study showed significant differences in every EI dimensions. Women showed higher scores in EA and, like the findings of previous studies, men showed higher scores in EC and ER [69,70,71]. Middle scores in EA and high scores in EC and ER are related to better EI [72]. Thus, our findings may suggest that men demonstrate better EI.

Pengpid et al. [73] studied undergraduate students from 23 different countries, revealing that 41.1% were physically inactive. Female PA levels were lower than the males. In the same way, our participants showed significant differences according to sex. The main difference was in LTPA, that is, voluntary PA performed during a participant’s free time. We obtained higher values for METs (967.4) in men than in women. These differences are in line with other studies [74, 75]. The reasons for gender differences in PA performance were not revealed in these studies.

Our findings support the idea that the experiences related to performing PA during leisure time are associated with ER and EC. These experiences trigger different positive and negative emotions [38], although, the majority are positive [39]. PA enhances positive and pleasant emotions [43, 44]. Furthermore, experiences related to PA are also an emotional challenge [76]. Baumeister et al. [77] argued that conscious emotional states can promote learning and alter guidelines for future behaviours. Thus, current emotional states contribute people to selecting actions according to emotions anticipation. For instance, an athlete who loses is likely to feel unhappy and angry after the competition. These emotions arouse the athlete to consider how she/he could improve performance to avoid similar outcomes in the future. Our findings suggest that individuals who perform LTPA are related to a better ability to feeling and expressing their emotions and regulate their emotional states. However, as it states TMMS-24 description parameters [61], the mean results for men and women were within reference values for the three EI dimensions. This is important as EI acts as a preventive and protective factor against stress, unhealthy lifestyles, and alcohol and drug abuse [78]. Strategies focused on PA promotion may be related to better capacity for individual psychological adaptation, which could affect health positively.

This study included a large and homogeneous sample, which is a strength. It also makes an essential contribution to the literature in a field that requires further investigation, as does PA and its relationships with emotional variables. There are some study limitations, however. These limitations relate to the cross-sectional design, which prevents causal relationships from being extracted from the variables analysed. Although our large sample, was unrepresentative, and results should not be generalized. It is, therefore, necessary to perform longitudinal studies to analyse possible PA effects on EI. Although assessing PA with self-report tools is more economical and feasible, and the GPAQ has been validated in different countries [65], there are objective PA assessments using pedometers and accelerometers that may be more accurate tools and avoid the PA overestimation that often occurs in questionnaires [79, 80]. EI was also measured by a self-report tool. It could be measured with the greatest validity if it is assessed as a set of competencies or skills [81].

Conclusions

The main conclusion of this study is that there is a relationship between PA domains and EI dimensions. Undergraduate students who perform LTPA showed higher EI levels, specifically in the EA and ER dimensions. The relationship found is small, and the predictive power of PA regarding EA and ER is very weak. Men engaged in more LTPA and occupational PA and had higher emotional clarity and emotional repair than women. However, women had higher emotional attention.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

CPA:

Commuting physical activity

EA:

Emotional attention

EC:

Emotional clarity

EI:

Emotional intelligence

ER:

Emotional repair

LTPA:

Leisure-time physical activity

OPA:

Occupational physical activity

PA:

Physical activity

References

  1. Kokkinos P. Physical activity and cardiovascular disease prevention: current recommendations. Angiology. 2008;59:26S–9S.

    Article  PubMed  Google Scholar 

  2. Chomistek AK, Manson JE, Stefanick ML, Lu B, Sands-Lincoln M, Going SB, et al. Relationship of sedentary behavior and physical activity to incident cardiovascular disease: results from the women’s health initiative. J Am Coll Cardiol. 2013;61(23):2346–54.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Archer E, Blair SN. Physical activity and the prevention of cardiovascular disease: from evolution to epidemiology. Prog Cardiovasc Dis. 2011;53(6):387–96.

    Article  PubMed  Google Scholar 

  4. Hamilton MT, Hamilton DG, Zderic TW. Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes. 2007;56(11):2655–67.

    Article  CAS  PubMed  Google Scholar 

  5. Cavill N, Kahlmeier S, Racioppi F. Physical activity and health in Europe - evidence for action. Copenhagen: World Health Organization; 2006.

    Google Scholar 

  6. Penedo FJ, Dahn JR. Exercise and well-being: a review of mental and physical health benefits associated with physical activity. Curr Opin Psychiatry. 2005;18(2):189–93.

    Article  PubMed  Google Scholar 

  7. Biddle SJ, Asare M. Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med. 2011;45(11):886–95.

    Article  PubMed  Google Scholar 

  8. Paluska SA, Schwenk TL. Physical activity and mental health. Sport Med. 2000;29(3):167–80.

    Article  CAS  Google Scholar 

  9. Mammen G, Faulkner G. Physical activity and the prevention of depression. Am J Prev Med. 2013;45(5):649–57.

    Article  PubMed  Google Scholar 

  10. Ströhle A. Physical activity, exercise, depression and anxiety disorders. J Neural Transm. 2009;116(6):777–84.

    Article  PubMed  Google Scholar 

  11. Hills AP, Dengel DR, Lubans DR. Supporting public health priorities: recommendations for physical education and physical activity promotion in schools. Prog Cardiovasc Dis. 2015;57(4):368–74.

    Article  PubMed  Google Scholar 

  12. Norris R, Carroll D, Cochrane R. The effects of physical activity and exercise training on psychological stress and well-being in an adolescent population. J Psychosom Res. 1992;36(1):55–65.

    Article  CAS  PubMed  Google Scholar 

  13. Brand S, Kalak N, Gerber M, Clough PJ, Lemola S, Sadeghi Bahmani D, et al. During early to mid adolescence, moderate to vigorous physical activity is associated with restoring sleep, psychological functioning, mental toughness and male gender. J Sports Sci. 2017;35(5):426–34.

    Article  PubMed  Google Scholar 

  14. Castillo I, Molina-García J. Adiposidad corporal y bienestar psicológico: efectos de la actividad física en universitarios de Valencia. España Rev Panam Salud Pública. 2010;26(4):334–40.

    Google Scholar 

  15. Molina-García J, Castillo I, Queralt A. Leisure-time physical activity and psychological well-being in university students. Psychol Rep. 2011 Oct;109(2):453–60.

    Article  PubMed  Google Scholar 

  16. Netz Y, Wu M-J, Becker BJ, Tenenbaum G. Physical activity and psychological well-being in advanced age: a meta-analysis of intervention studies. Psychol Aging. 2005;20(2):272–84.

    Article  PubMed  Google Scholar 

  17. Gogulla S, Lemke N, Hauer K. Effekte körperlicher Aktivität und körperlichen Trainings auf den psychischen Status bei älteren Menschen mit und ohne kognitive Schädigung. Z Gerontol Geriatr. 2012 Jun 25;45(4):279–89.

    Article  CAS  PubMed  Google Scholar 

  18. Keating XD, Guan J, Piñero JC, Bridges DM. A meta-analysis of college students’ physical activity behaviors. J Am Coll Heal. 2005 Sep;54(2):116–26.

    Article  Google Scholar 

  19. Mayer JD, Salovey P. What is emotional intelligence? In: Emotional development and emotional intelligence. Nueva York: Basic Books; 1997. p. 3–31.

    Google Scholar 

  20. Cabello R, Fernandez-Berrocal P. Under which conditions can introverts achieve happiness? Mediation and moderation effects of the quality of social relationships and emotion regulation ability on happiness PeerJ. 2015;3:e1300.

    PubMed  Google Scholar 

  21. Sánchez-Álvarez N, Extremera N, Fernández-Berrocal P. The relation between emotional intelligence and subjective well-being: A meta-analytic investigation 2016;11(3):276–285.

    Google Scholar 

  22. Costa S, Petrides KV, Tillmann T. Trait emotional intelligence and inflammatory diseases. Psychol Health Med. 2014;19(2):180–9.

    Article  PubMed  Google Scholar 

  23. Côté S. Emotional intelligence in organizations. Annu Rev Organ Psychol Organ Behav. 2014;1(1):459–88.

    Article  Google Scholar 

  24. Fox S, Spector PE. Relations of emotional intelligence, practical intelligence, general intelligence, and trait affectivity with interview outcomes: it’s not all just ´G. J Organ Behav. 2000;21(2):203–20.

    Article  Google Scholar 

  25. Muchhal DS, Solkhe A. An empirical investigation of relationship between emotional intelligence and job performance in Indian manufacturing sector. Clear Int J Res Commer Manag. 2017;8(7):18–21.

    Google Scholar 

  26. Mavroveli S, Petrides KV, Sangareau Y, Furnham A. Exploring the relationships between trait emotional intelligence and objective socio-emotional outcomes in childhood. Br J Educ Psychol. 2009;79(2):259–72.

    Article  PubMed  Google Scholar 

  27. García-Sancho E, Salguero JM, Fernández-Berrocal P. Relationship between emotional intelligence and aggression: a systematic review. Aggress Violent Behav. 2014;19(5):584–91.

    Article  Google Scholar 

  28. Andrei F, Petrides KV. Trait emotional intelligence and somatic complaints with reference to positive and negative mood. Psihologija. 2013;46(1):5–15.

    Article  Google Scholar 

  29. Martins A, Ramalho N, Morin E. A comprehensive meta-analysis of the relationship between emotional intelligence and health. Pers Individ Dif. 2010;49(6):554–64.

    Article  Google Scholar 

  30. Schutte NS, Malouff JM, Thorsteinsson EB, Bhullar N, Rooke SE. A meta-analytic investigation of the relationship between emotional intelligence and health. Pers Individ Dif. 2007;42(6):921–33.

    Article  Google Scholar 

  31. Tsaousis I, Nikolaou I. Exploring the relationship of emotional intelligence with physical and psychological health functioning. Stress Heal. 2005;21(2):77–86.

    Article  Google Scholar 

  32. Extremera N, Fernandez-Berrocal P. Relation of perceived emotional intelligence and health-related quality of life of middle-aged women. Psychol Rep. 2002;91(1):47–59.

    Article  PubMed  Google Scholar 

  33. Lewis GM, Neville C, Ashkanasy NM. Emotional intelligence and affective events in nurse education: a narrative review. Nurse Educ Today. 2017;53:34–40.

    Article  PubMed  Google Scholar 

  34. Davis SK, Humphrey N. Emotional intelligence as a moderator of stressor–mental health relations in adolescence: evidence for specificity. Pers Individ Dif. 2012;52(1):100–5.

    Article  Google Scholar 

  35. Salguero JM, Extremera N, Fernandez-Berrocal P. Emotional intelligence and depression: the moderator role of gender. Pers Individ Dif. 2012;53(1):29–32.

    Article  Google Scholar 

  36. Batool SS, Khalid R. Low emotional intelligence: a risk factor for depression. J Pakistan Psychiatr Soc. 2009;6(2):65–72.

    Google Scholar 

  37. Pulido F, Herrera F. Relaciones entre felicidad, inteligencia emocional y factores sociodemográficos en secundaria. Anu Psicol. 2018;48(1):34–42.

    Article  Google Scholar 

  38. Duran C, Lavega P, Salas C, Tamarit M, Invernó J. Emotional Physical Education in adolescents. Identifying predictors of emotional experience. cultura_ciencia_deporte. 2015;10(28):5–18.

    Article  Google Scholar 

  39. Zamorano M, Gil P, Prieto-Ayuso A, Zamorano D. Emociones generadas por distintos tipos de juegos en clase de educación física / Generated Emotions By Various Types Of Games In Physical Education. Rev Int Med y Ciencias la Act Física y del Deport 2018 6;69(2018).

  40. Romero-Martín MR, Gelpi P, Mateu M. Lavega P influence of practical driving on emotional state university students. Int J Med Sci Phys Act Sport. 2017;17:449–66.

    Google Scholar 

  41. Ubago-Jiménez JL, González-Valero G, Puertas-Molero P, García-Martínez I. Development of Emotional Intelligence through Physical Activity and Sport Practice. A Systematic Review. Behav Sci (Basel, Switzerland). 2019;9(4).

  42. Biddle S. In: Hann Y, editor. Exercise, emotions, and mental health. Champaign: Human Kinetics; 2000. p. 267–92.

    Google Scholar 

  43. Turnbull M, Wolfson S. Effects of exercise and outcome feedback on mood: evidence for misattribution. J Sport Behav. 2002;25(4):394–406.

    Google Scholar 

  44. Kerr JH, Kuk G. The effects of low and high intensity exercise on emotions, stress and effort. Psychol Sport Exerc. 2001;2(3):173–86.

    Article  Google Scholar 

  45. Szabo A. The acute effects of humor and exercise on mood and anxiety. J Leis Res. 2003;35(2):152–62.

    Article  Google Scholar 

  46. Crombie D. The role of emotional intelligence in sports performance. University of Cape Town, S; 2011.

  47. Crombie D, Lombard C, Noakes T. Increasing emotional intelligence in cricketers: an intervention study. Int J Sports Sci Coach. 2011;6(1):69–86.

    Article  Google Scholar 

  48. Perlini AH, Halverson TR. Emotional intelligence in the National Hockey League. Can J Behav Sci / Rev Can des Sci du Comport. 2006;38(2):109–19.

    Article  Google Scholar 

  49. Costarelli V, Stamou D. Emotional intelligence, body image and disordered eating attitudes in combat sport athletes. J Exerc Sci Fit. 2009;7(2):104–11.

    Article  Google Scholar 

  50. Laborde S, Dosseville F, Allen MS. Emotional intelligence in sport and exercise: a systematic review. Scand J Med Sci Sport. 2016;26(8):862–74.

    Article  CAS  Google Scholar 

  51. Zysberg L, Hemmel R. Emotional intelligence and physical activity. J Phys Act Health. 2018;15(1):53–6.

    Article  PubMed  Google Scholar 

  52. Shuk-Fong G, Lu FJH, Hsiu-Hua A. Exploring the relationships of physical activity, emotional intelligence and health in Taiwan college students. J Exerc Sci Fit. 2009;7(1):55–63.

    Article  Google Scholar 

  53. Omar Dev RD, Ismail IA, Omar-Fauzee MS, Abdullah MC, Geok SK. Emotional intelligence as a potential underlying mechanism for physical activity among Malaysian adults. Am J Heal Sci. 2012;3(3):211.

    Google Scholar 

  54. Fernandez EJ, Almagro BJ, Saenz-Lopez P. Inteligencia emocional percibida y el bienestar psicológico de estudiantes universitarios en función del nivel de actividad física. Cult Cienc Y Deport. 2014;10(28):31–9.

    Google Scholar 

  55. Saklofske DH, Austin EJ, Galloway J, Davidson K. Individual difference correlates of health-related behaviours: preliminary evidence for links between emotional intelligence and coping. Pers Individ Dif. 2007;42(3):491–502.

    Article  Google Scholar 

  56. Magnini VP, Lee G, Kim B. (Peter). The cascading affective consequences of exercise among hotel workers. Int J Contemp Hosp Manag. 2011;23(5):624–43.

    Article  Google Scholar 

  57. Shuk-fong G, Ting W, Hua H. Development of a Chinese emotional intelligence inventory and its association with physical activity. In: Di Fabio PA, editor. Emotional intelligence - new perspectives and applications. Department of Athletic Sports: National Chung Cheng University; 2012. p. 195–214.

    Google Scholar 

  58. Barreiro JF, Boleto AF, Marques CM, Serpa S. Relação entre inteligência emocional, satisfação com a vida e prática desportiva. Rev Iberoam Psicol del Ejerc y el Deport. 2013;9(1):93–109.

    Google Scholar 

  59. Ladino PK, Gonzalez-Correa CH, Gonzalez-Correa CA, Caicedo JC. Ejercicio físico e inteligencia emocional en un grupo de estudiantes universitarias. Rev Iberoam Psicol Del Ejerc Y El Deport. 2016;11(1):31–6.

    Google Scholar 

  60. Adhia H, Nagendra HR, Mahadevan B. Impact of adoption of yoga way of life on the emotional intelligence of managers. IIMB Manag Rev. 2010;22(1–2):32–41.

    Article  Google Scholar 

  61. Fernandez-Berrocal P, Extremera N, Ramos N. Validity and reliability of the Spanish modified version of the trait meta-mood scale. Psychol Rep. 2004;94(3):751–5.

    Article  PubMed  Google Scholar 

  62. Cleland C, Hunter RF, Kee F, Cupples ME, Sallis JF, Tully MA. Validity of the Global Physical Activity Questionnaire (GPAQ) in assesing levels and change in moderate-vigorous physical activity and sedentary behaviour. BioMed Cent. 2014;14(1255).

  63. Armstrong T, Bull F. Development of the world health organizational global physical activity questionnaire (GPAQ). J Public Heal. 2006;14(2):66–70.

    Article  Google Scholar 

  64. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95.

    Article  PubMed  Google Scholar 

  65. Bull FC, Maslin TS, Armstrong T. Global physical activity questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health. 2009;6(6):790–804.

    Article  PubMed  Google Scholar 

  66. World Health Organization. Global Physical Activity Questionnaire (GPAQ) Analysis Guide [Internet]. 2006 [cited 2018 Jun 16]. Available from: www.who.int/chp/steps

  67. Laborde S, Guillén F, Watson M. Trait emotional intelligence questionnaire full-form and short-form versions: links with sport participation frequency and duration and type of sport practiced. Pers Individ Dif. 2017;108:5–9.

    Article  Google Scholar 

  68. Dev Omar Dev R, Rifaat Abdul Rahman A. Influence of emotional intelligence as the mediator between physical activity and mental health (distress) among malaysian university students. International E-journal of Advances in Social Sciences. OCERINT International. 2016:492–500.

    Article  Google Scholar 

  69. Molero D, Álvarez FO, Ávila MRMR de. Diferencias en la adquisición de competencias emocionales en función del género Rev Electrónica Investig y Docencia 2008 10;0(3).

  70. Del Rosal I, Dávila M, Sánchez S, Bermejo ML. La inteligencia emocional en estudiantes universitarios: diferencias entre el grado de maestro en educación primaria y los grados en ciencias. Int J Dev Educ Psychol. 2016;2:51–62.

    Google Scholar 

  71. Sánchez G, Araya-Vargas G. Atención plena, inteligencia emocional, género, área de estudio y reporte de ejercicio en estudiantes universitarios costarricenses. el Deport. 2014;9(1):19–36.

    Google Scholar 

  72. Extremera-Pacheco N, Fernández-Berrocal P. Inteligencia emocional percibida y diferencias individuales en el meta-conocimiento de los estados emocionales: una revisión de los estudios con el TMMS. Ansiedad y estrés. 2005;11(2):101–22.

    Google Scholar 

  73. Pengpid S, Peltzer K, Kassean HK, Tsala Tsala JP, Sychareun V, Müller-Riemenschneider F. Physical inactivity and associated factors among university students in 23 low-, middle- and high-income countries. Int J Public Health. 2015;60(5):539–49.

    Article  PubMed  Google Scholar 

  74. Medagama A, Galgomuwa M, Silva C. Physical activity patterns and socio-demographic correlates of physical activity among medical undergraduates in Sri Lanka: an observational study. Postgrad Med J. 2018;94(1107):32–6.

    Article  PubMed  Google Scholar 

  75. El Ansari W, Suominen S, Draper S. Correlates of achieving the guidelines of four forms of physical activity, and the relationship between guidelines achievement and academic performance: undergraduate students in Finland. Cent Eur J Public Health. 2017;25(2):87–95.

    Article  PubMed  Google Scholar 

  76. Skinner N, Brewer N. Adaptive approaches to competition: challenge appraisals and positive emotion. J Sport Exerc Psychol. 2004;26(2):283–305.

    Article  Google Scholar 

  77. Baumeister RF, Vohs KD, Nathan DeWall C, Liqing ZL. How emotion shapes behavior: feedback, anticipation, and reflection, rather than direct causation. Personal Soc Psychol Rev. 2007;11(2):167–203.

    Article  Google Scholar 

  78. Zeidner M, Matthews G, Roberts RD. The emotional intelligence, health, and well-being Nexus: what have we learned and what have we missed? Appl Psychol Heal Well-Being. 2012;4(1):1–30.

    Article  Google Scholar 

  79. Haskell WL. Physical activity by self-report: a brief history and future issues. J Phys Act Health. 2012;9(Suppl 1):S5–10.

    Article  PubMed  Google Scholar 

  80. Warren JM, Ekelund U, Besson H, Mezzani A, Geladas N, Vanhees L, et al. Assessment of physical activity – a review of methodologies with reference to epidemiological research: a report of the exercise physiology section of the European Association of Cardiovascular Prevention and Rehabilitation. Eur J Cardiovasc Prev Rehabil. 2010;17(2):127–39.

    Article  PubMed  Google Scholar 

  81. Mayer JD, Caruso DR, Salovey P. Emotional intelligence meets traditional standards for an intelligence. Intelligence. 1999;27(4):267–98.

    Article  Google Scholar 

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Acknowledgements

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Funding

This research was made possible by financial support from Universidad Francisco de Vitoria.

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Authors and Affiliations

  1. Faculty of Health Sciences, Universidad Francisco de Vitoria (UFV), Pozuelo de Alarcón, Madrid, Spain

    Jorge Acebes-Sánchez

  2. Faculty of Physical Activity and Sport Sciences (INEF), Universidad Politécnica de Madrid (UPM), Madrid, Spain

    Jorge Acebes-Sánchez & Gabriel Rodriguez-Romo

  3. Faculty of Sport Sciences, Universidad Europea de Madrid (UEM), Villaviciosa de Odón, Madrid, Spain

    Ignacio Diez-Vega

  4. Faculty of Biomedicine, Psychology Department, Universidad Europea de Madrid (UEM), Villaviciosa de Odón, Madrid, Spain

    Sara Esteban-Gonzalo

  5. CEBERFES, Madrid, Spain

    Gabriel Rodriguez-Romo

Authors
  1. Jorge Acebes-Sánchez
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  2. Ignacio Diez-Vega
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  3. Sara Esteban-Gonzalo
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  4. Gabriel Rodriguez-Romo
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Contributions

JA initiated the study and was responsible for writing this paper. GR and JA collected the data. ID, SE, and JA designed the method. ID, GR, and JA analysed the results. GR was responsible for the conceptual framework of this study and was overall responsible. All the authors revised and approved the final version of the paper.

Corresponding author

Correspondence to Jorge Acebes-Sánchez.

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Ethics approval and consent to participate

Ethical approval for this study was obtained from the Ethics Research Committee of Universidad Francisco de Vitoria (40/2018). The informed consent form was electronically submitted before the questionnaire.

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The authors declare that they have no competing interests.

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Acebes-Sánchez, J., Diez-Vega, I., Esteban-Gonzalo, S. et al. Physical activity and emotional intelligence among undergraduate students: a correlational study. BMC Public Health 19, 1241 (2019). https://doi.org/10.1186/s12889-019-7576-5

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Keywords

BMC Public Health

ISSN: 1471-2458

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