Next Article in Journal
Including the Dark Side of Entrepreneurship in the Entrepreneurship Education
Previous Article in Journal
Effects of Block vs. Traditional Scheduling on High School Science Success—Lessons from Biology Classes
Previous Article in Special Issue
Emotional Education for the Development of Primary and Secondary School Students Through Physical Education: Literature Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Cross-Sectional Study of Self-Concept and Gender in Relation to Physical Activity and Martial Arts in Spanish Adolescents during the COVID-19 Lockdown

by
David Lindell-Postigo
1,
Félix Zurita-Ortega
2,
Manuel Ortiz-Franco
2 and
Gabriel González-Valero
2,*
1
Departament of Physical Education, Sunland International School, 29580 Málaga, Spain
2
Department of Didactics of Musical, Plastic and Corporal Expression, University of Granada, 18071 Granada, Spain
*
Author to whom correspondence should be addressed.
Educ. Sci. 2020, 10(8), 210; https://doi.org/10.3390/educsci10080210
Submission received: 20 July 2020 / Revised: 9 August 2020 / Accepted: 10 August 2020 / Published: 13 August 2020

Abstract

:
The COVID-19 lockdown has negatively affected individuals’ welfare. However, there has been no research published heretofore about the levels of self-concept (SC) in adolescents, nor how having practised martial arts (MA) or any physical activity (PA) before the lockdown may have influenced the SC in that time. Hence, this study aimed to analyze some demographic, physical, and psychosocial parameters in Spanish adolescents throughout the COVID-19 quarantine through a cross-sectional investigation, establishing correlations among these factors. Methods: The present study had a descriptive, comparative, and cross-sectional design. The sample comprised of 54 (39.7%) male and 82 (60.3%) female Spanish adolescents aged 12–18 (M = 14.49; SD = 1.80). An ad-hoc questionnaire collected sociodemographic data; the self-concept Form 5 (AF5) questionnaire obtained data on SC dimensions. Results: There were some differences among the SC dimensions, with family and academic dimensions having higher values than the physical and emotional ones. Females’ academic SC was higher than that of males (p = 0.019). The practice of PA before the lockdown was positively associated with physical (p < 0.001) and social (p = 0.012) SC, yet there was no significant association between the previous practice of MA and SC (p > 0.050). Conclusions: the findings suggest that the COVID-19 lockdown negatively affected Spanish adolescents by decreasing their total SC and some dimensions of it, although PA may buffer psychological harmfulness in adolescents.

1. Introduction

Self-concept (SC), which is a broadly investigated construct defined as one’s knowledge and image of oneself, varies during one’s lifetime according to the degree of the individual’s identification as being an integral part of humanity and part of the universe as a whole [1]. People tend to observe external stimuli and replicate that behavior [2]. In this way, SC takes on people’s transition to a new environment, given that the present SC is seen as changes based on the past SC, in order to achieve the ideal/future SC [3,4]. Furthermore, the SC is comprised of the interaction between the individual’s perception and others’ perception of oneself, their experience, and environmental reinforcements [5,6]. Hence, people select between possible selves [7] as they make identity claims by conveying images that signal how they view themselves or hope to be viewed by others, as may be seen in online relations [8]. Consequently, people with a low SC tend to adjust their online self-presentation to be socially praised [9,10] and, conversely, SC helps individuals control their anxiety and cope better with stressful situations [11], which may be observed in a population suffering social exclusion, such as resettled refugees [12].
Despite the variation mentioned above, SC usually describes a concave curve within adolescence [13], so this period becomes crucial in SC’s development, and peers and family play a critical role due to their interaction and relation with the individual. Moreover, the SC is a pivotal construct in education [6], and may predict achievement and levels of teacher engagement [14,15], contributing to self-efficacy [16] even in students with learning disabilities [17]. Additionally, female students often have a higher academic self-concept (AS) [18], and while boys with high academic achievement tend to be happier, girls with high academic achievement tend to be more satisfied [19]; thus, adolescents have AS as a vital element in paving the way to be well-rated by peers [20]. Notwithstanding the effects of AS, physical self-concept (PS) influences adolescents’ psychological needs more than any other dimension [21,22] and enables individuals to be more likely to succeed in school adjustments [23].
In line with the previous paragraph, physical activity (PA) usually reduces SC’s concavity during adolescence if practised with a task-oriented motivational climate and the individual’s family supports them [24,25]. Furthermore, even though PA increases SC as such [26,27,28], team sports often foster a higher social dimension than individual sports [29,30]. Moreover, self-esteem is also influenced by the practice of martial arts (MA) [31,32,33,34], regardless of gender [35], which might lead martial artists to cope better with more stressful situations, such as a lockdown.
Unfortunately, although no research has been published yet about the level of SC during the COVID-19 lockdown, this pandemic is agreed to affect people’s physical, social, and mental welfare, and it is agreed that there is going to be an increase in people in need of psychiatric help [36]. Along this line, Casale and Flett [37] affirm that “we underscore how the current health crisis impacts the self and identity of people”, since psychological needs only become relevant once the physiological ones have been satisfied. Nonetheless, similar situations have already been investigated and may shed light upon prior insight into the current situation; for instance, refugees [38,39,40,41,42] and people hospitalized for a long time [43,44] are known to have low levels of SC. In any case, SC may buffer psychological impacts on adolescents post-trauma [45], since disorders such as depression or isolation are correlated to a negative SC [46,47,48], and the SC of people exposed to stressful situations such as war is negatively associated with optimism [49].
This research is based on the theory stated by Shavelson, Hubner, and Stanton [6], which affirms that SC has five factors: PS, AS, social self-concept (SS), family self-concept (FS), and emotional self-concept (EmS). Therefore, this study aimed to assess the SC of adolescents after a fortnight of lockdown through the self-concept Form 5 questionnaire (AF5) [50]. This instrument has already been validated by many authors [51,52,53,54,55,56,57,58]. Furthermore, this investigation also intended to establish demographic and psychosocial parameters in adolescents after two weeks of lockdown. Lastly, this study tried to investigate the existence of any association between SC and being physically active, which means to practise PA more than three hours a week, as the World Health Organization (WHO) recommends [59], or practising MA before the lockdown. Consequently, this study might shed light on the influence of the COVID-19 pandemic on SC, given the absence of research, and the importance of PA and MA on SC, leading people to cope better with stressful situations.

2. Materials and Methods

2.1. Design and Participants

The sample comprised of 54 (39.7%) male and 82 (60.3%) female Spanish adolescents aged 12–18 (M = 14.49; SD = 1.805 years). Voluntary response sampling to select participants was conducted by us previously advertising the study during online physical rducation lessons and ensuring that every doubt and question was solved. The inclusion criteria were for the participants to be in full control of their mental faculties and to possess informed consent from their parent/guardian.
The sample came from different settlements in southern Spain, requiring the participation of the ones who had sent in their informed consent prior to the experiment. Lastly, 17 participants were excluded due to their questionnaires being incorrectly completed.

2.2. Variables and Instruments

  • Demographic questionnaire, in which the data collected involved gender (male or female); age; whether PA before the lockdown was performed for more the three hours a week out of school time (yes or no), as the WHO recommends [59]; and whether that PA was a MA (yes or no).
  • Self-concept Form 5 (AF5) [50], which is based on Shavelson et al. [4] and comprises 30 items grouped in five dimensions: AS (items 1, 6, 11, 16, 21, and 26), SS (items 2, 7, 12, 17, 22, and 27), EmS (items 3, 8, 13, 18, 23, and 28), FS (items 4, 9, 14, 19, 24, and 29), and PS (items 5, 10, 15, 20, 25, and 30). It measures SC by using a five-level Likert scale (1 = never and 5 = always), and it has been adapted by some researchers [52,54]. The Cronbach’s alpha value of the whole AF5 questionnaire in the current study was 872.

2.3. Procedure

Both the participants and guardians were contacted via social networks. Once contact was established, everyone was presented with information regarding the study and information relating to the consent. Then, the researchers specified that the written document had to be sent back and warranted the anonymity and data treatment with a scientific purpose. The researchers were virtually present during the data collection to ensure the correct process and to solve any doubts the participants might have. Even though this questionnaire has already been validated by many authors [51,52,53,54,55,56,57,58], 17 questionnaires were cast aside owing to wrong complementation before calculating its reliability. Lastly, it is required to clarify that this research fulfils the Research Ethics Committee of the University of Granada, coded 1230/CEIH/2020.

2.4. Statistical Analysis

The data were processed with IBM SPSS® version 25.0 for Windows. After performing the Kolmogorov–Smirnov test, a normal distribution was seen (p < 0.001), so parametric tests were used. Frequencies and means were used for the basic descriptive statistics, and every dimension of the SC was analyzed; T-Student test and contingency tables were used to compare the data, and Pearson’s chi-squared test was used to analyze the correlations.
The magnitude of difference in effect size (ES) was obtained with Cohen’s standardized d-index, interpreted as null, small (0.20–0.49), medium (0.50–0.79), and large (≥0.80). For each ES, the 95% confidence interval (95% CI) was calculated. Cohen’s Q measure was used to calculate the ES of the differences between correlations, calculated through the transformation of the correlations with Fisher’s Z [60], interpreted as no effect (<0.1), small effect (0.1–0.3), intermediate effect (0.3–0.5), and large effect (>0.5).

3. Results

In Table 1 the 136 participants were distributed in groups according to gender (39.7% male and 60.3% female), the practice of PA before the lockdown (33.8% did not practise PA more than 3 h a week, whereas 66.2% did), and the practitioners of MA within the whole group (14.6% practised any MA, whereas 85.4% did not). Regarding SC, both the tFS (M = 3.98) and AS (M = 3.85) dimensions had the highest values, in contrast to the PS (M = 3.29) and EmS (M = 3.33) dimensions, which stood for the lowest values.
A significant difference was found in terms of the practice of PA (p = 0.0402), but not with regards to MA (p = 0.081). Nonetheless, there was a significant difference only in terms of AS (Table 2), where females had higher values than males (M = 3.97 vs M = 3.68 p = 0.019).
No significant difference (p > 0.050) correlating the practice of PA and some dimensions of SC (Table 3), namely PS (p < 0.001 **) and SS (p = 0.012 **), due to higher values in the physically active adolescents (M = 3.50 vs M = 2.87 in PS and M = 3.84 vs M = 3.50 in SS). No correlations were found with the rest of the dimensions.
No significant difference was found regarding the habitual practice of MA in individuals (p > 0.050) in any dimension of SC (Table 4).
Regarding the correlations between the research variables (Table 5), the results indicated that there was a moderate positive correlation between PS and the rest of the dimensions (AS, r = 0.369 **; SS, r = 0.380 **; EmS, r = 0.392 **; FS, r = 0.323 **), so that as the rest of the dimensions increased their level, so did the others. Likewise, there was also a moderate positive correlation between AS and SS (r = 0.361 **) and FS (r = 0.469 **), as well as between SS and EmS (r = 0.351 **) and FS (r = 0.302 **). No correlations were found between the rest of the dimensions and age.

4. Discussion and Conclusions

With the COVID−19 pandemic evolving rapidly across the globe, scarce articles may be found, especially in terms of children or the effects of the COVID-19 pandemic on their SC. However, children and adolescents are more likely to experience harmful consequences on their psychological welfare [61,62]. Additionally, similar research has been found regarding this population and the psychological effects on it. For instance, Fiorillo and Gorwood [36] affirmed that lockdown may harm mental health, leading to several disorders such as schizophrenia or depression. In this line, people with special medical care needs, such as autism spectrum disorder (ASD) children [63], people with post-traumatic stress disorder [64], or transgender individuals [65], are affected by the COVID-19 lockdown. Consequently, this research is in line with these investigations, as it tried to shed light on how the COVID-19 pandemic may influence young people’s SC.
According to their ratings in PA, two thirds of the adolescents were physically active under the WHO recommendations [59], which was a similar distribution to prior research [66,67]. Furthermore, the ones who practise MA account for 14.6% of the total, which is just a slightly higher value than some research [68,69] which reported a value no higher than 10%. Hence, this sample was similar to many others investigated, despite being a small one.
With regards to SC, its general score was lower than in previous research [70,71] and, even though FS was still being higher than others, AS took more importance during the lockdown. This could be explained due to time expenditure with a sort of homeschooling. Moreover, although PS is often lower than the rest of the dimensions in other studies [70,71], its score was the lowest in comparison to previous research, which could be explained by the lower importance of this component in comparison to the rest. Lastly, the SS was scored lower than in previous research [70,71], possibly owing to the forced social distancing because of the lockdown. With regards to gender, females had a higher AS than males.
The results indicated that people who practise any sport tend to have a higher SS, which is in line with previous research [72,73], and it may be explained by the fact that sports practitioners tend to have more relations and establish strong bonds with their peers.
A further finding is that, while prior research reported a higher SC in martial artists [32,74], this study did not found any correlation between both. The harmful situation of lockdown may justify this, so even martial artists’ SC is lowered regardless of martial art’s usual effect on this construct.
The findings shed light on the importance of PS, especially at this age. As may be seen, as the PS increased, so did the rest of the dimensions. This finding may be explained because adolescents need to familiarize to a new body shape, guiding their concept towards physical aspects in order to create a well-accepted self by others [75,76]. This results in an increase in self-esteem to the extent of PS [21,77].
Nonetheless, while age is important in SC development, as it describes a concave curve throughout adolescence [13], our research did not found any correlation. This finding might be explained since psychological factors are lowered in harmful situations, and social distance decreases SC due to a weaker praise, taking into account that adolescents’ SC relies on how society values them.
The present study had some limitations. It is important to emphasize some caveats to the findings of this research for its generalization to other populations; as the descriptive design does not allow causal correlations to be established, the results obtained ought to be interpreted cautiously. Consequently, it would be interesting to widen the sample by including more students across the globe. Additionally, it is essential to note that prior research focused upon SC out of a lockdown situation, so comparisons become difficult. Lastly, a fortnight might be a short period to notice the whole impact a lock down may have on adolescents’ SC; consequently, a pre-post lockdown test would have been useful in order to discover whether the quarantine and the level of SC were associated. Despite the fact that these issues may limit comparisons to prior studies, the results suggested that these limitations have not adversely impacted our findings. Moreover, although this study aimed to analyze the impact of being physically active on SC even during a stressful situation like a lockdown, it may be interesting to delve into this by further investigating the PA by either asking about the type of PA practised or establishing groups according to the hours practised, and asking about whether this activity is competitive, the level of competitiveness, et cetera, as opposed to only differentiating the practice of MA.
In conclusion, the COVID-19 lockdown has negatively affected adolescents by decreasing some psychosocial factors such as SC, prioritizing family and academic matters within that period, since adolescents spent more time along their relatives and schoolwork took more importance. Nevertheless, PA may have a substantial effect in buffering psychological harmfulness in adolescents by scaling PS and, subsequently, all the dimensions.

Author Contributions

Conceptualization, D.L.-P., F.Z.-O., and G.G.-V.; methodology, D.L.-P., F.Z.-O., M.O.-F., and G.G.-V.; software, D.L.-P., M.O.-F., and F.Z.-O.; formal analysis, D.L.-P., F.Z.-O., M.O.-F., and G.G.-V.; investigation, D.L.-P. and F.Z.-O.; resources, D.L.-P. and F.Z.-O.; data curation, D.L.-P. and F.Z.-O.; writing—original draft preparation, D.L.-P. and G.G.-V.; writing—review and editing, D.L.-P., F.Z.-O., M.O.-F., and G.G.-V.; visualization, D.L.-P. and G.G.-V.; supervision, F.Z.-O. and G.G.-V. All the authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ramirez-Granizo, I.A.; Sánchez-Zafra, M.; Zurita-Ortega, F.; Puertas-Molero, P.; González-Valero, G.; Ubago-Jiménez, J.L. Multidimensional Self-Concept Depending on Levels of Resilience and the Motivational Climate Directed towards Sport in Schoolchildren. Int. J. Environ. Res. Public Health 2020, 17, 534. [Google Scholar] [CrossRef] [Green Version]
  2. Bandura, A. Social Foundations of Thought and Action: A Social Cognitive Theory; Prentice-Hall: Englewood Cliffs, NJ, USA, 1986. [Google Scholar]
  3. Cantor, N.; Kihlstrom, J.F. Personality and Social Intelligence; Prentice-Hall: Englewood Cliffs, NJ, USA, 1987. [Google Scholar]
  4. Markus, H.R.; Wurf, E. The dynamic self-concept: A social psychological perspective. Annu. Rev. Psychol. 1987, 38, 299–337. [Google Scholar] [CrossRef]
  5. Gecas, V. The self-concept. Annu. Rev. Sociol. 1982, 8, 1–33. [Google Scholar] [CrossRef]
  6. Shavelson, R.J.; Hubner, J.J.; Stanton, G.C. Self-concept, validation of construct interpretations. Rev. Educ. Res. 1976, 46, 407–441. [Google Scholar] [CrossRef]
  7. Ibarra, H. Provisional selves: Experimenting with image and identity in professional adaptation. Adm. Sci. Q. 1999, 44, 764–791. [Google Scholar] [CrossRef] [Green Version]
  8. Bargh, J.A.; McKenna, K.; Fitzsimons, G.M. Can you see the real me? Activation and expression of the True self on the Internet. J. Soc. Issues 2002, 58, 33–48. [Google Scholar] [CrossRef] [Green Version]
  9. Flynn, S.; Noone, C.; Sarma, K.M. An exploration of the link between adult attachment and problematic Facebook use. BMC Psychol. 2018, 6, 34–50. [Google Scholar] [CrossRef]
  10. Yang, C.; Chen, P.; Brown, B.B. Online self-presentation on Facebook and self development during the college transition. J. Youth Adolesc. 2016, 45, 402–416. [Google Scholar] [CrossRef]
  11. Bayrak, R.; Güler, M.; Hisli, N. The mediating role of self-concept and coping strategies on the relationship between attachment styles and perceived stress. Europe. J. Psychol. 2018, 14, 897–913. [Google Scholar] [CrossRef] [Green Version]
  12. Bergquist, G.; Soliz, J.; Everhart, K.; Braithwaite, D.O.; Kreimer, L. Investigating layers of identity and identity gaps in refugee resettlement experiences in the Midwestern United States. West. J. Commun. 2019, 83, 383–402. [Google Scholar] [CrossRef]
  13. Marsh, H.W. Age and sex effects in multiple dimensions of self-concept: Preadolescence to early adulthood. J. Educ. Psychol. 1989, 81, 417–430. [Google Scholar] [CrossRef]
  14. Guo, J.; Nagengast, B.; Marsh, H.W.; Kelava, A.; Gaspard, H.; Brandt, H.; Cambria, B.F.; Dick, A.L.; Häfner, I.; Brisson, B. Probing the unique contributions of self-concept, task values, and their interactions using multiple value facets and multiple academic outcomes. AERA Open 2016, 2, 2332858416664875. [Google Scholar] [CrossRef]
  15. Kumar-Jaiswal, S.; Choudhuri, R. Academic self-concept and academic achievement of Secondary school students. Am. J. Educ. Res. 2017, 5, 1108–1113. [Google Scholar] [CrossRef] [Green Version]
  16. Zamani-alavijeh, F.; Araban, M.; Harandy, T.F.; Bastami, F. Sources of health care providers’ self- efficacy to deliver health education: A qualitative study. BMC Med. Educ. 2019, 19, 1–9. [Google Scholar] [CrossRef]
  17. Musetti, A.; Eboli, G.; Cavallini, F.; Corsano, P. Social relationships, self-esteem, and loneliness in adolescents with learning disabilities. Clin. Neuropsychiatry 2019, 16, 133–140. [Google Scholar]
  18. Fernández-Lasarte, O.; Goñi, E.; Camino, I.; Zubeldia, M. School adjustment and academic self-concept in Secondary education. Rev. Investig. Educ. 2019, 37, 163–179. [Google Scholar] [CrossRef]
  19. Chui, W.H.; Wong, M.Y. Gender differences in happiness and life satisfaction among adolescents in Hong Kong: Relationships and self-concept. Soc. Indic. Res. 2016, 125, 1035–1051. [Google Scholar] [CrossRef]
  20. Ingles, C.J.; Aparisi, D.; Delgado, B.; Torregrosa, M.S.; García-Fernández, J.M. Sociometric types and academic self-concept in adolescents. Psicothema 2017, 29, 496–501. [Google Scholar] [CrossRef]
  21. Baudson, T.G.; Weber, K.E.; Freund, P.A. More than only skin deep: Appearance self-concept predicts most of secondary school students’ self-esteem. Front. Psychol. 2016, 7, 1568. [Google Scholar] [CrossRef] [Green Version]
  22. Fraguela-Vale, R.; Varela-Garrote, L.; Carretero-Garcia, M.; Peralbo-Rubio, E.M. Basic psychological needs, physical self-concept, and physical activity among adolescents: Autonomy in focus. Front. Psychol. 2020, 11, 491. [Google Scholar] [CrossRef] [Green Version]
  23. Kim, Y.J.; Jang, J.H.; Cho, J.H. High physical self-concept benefits on school adjustment of Korean student-athletes. Int. J. Environ. Res. Public Health 2020, 17, 2653. [Google Scholar] [CrossRef] [PubMed]
  24. González-Valero, G.; Zurita-Ortega, F.; Chacón-Cuberos, R.; Puertas-Molero, P. Analysis of Motivational Climate, Emotional Intelligence, and Healthy Habits in Physical Education Teachers of the Future Using Structural Equations. Sustainability 2019, 11, 3740. [Google Scholar] [CrossRef] [Green Version]
  25. Reigal, R.E.; Moral-Campillo, L.; Morillo-Baro, J.P.; Juárez, R.; Hernández-Mendo, A.; Morales-Sánchez, V. Physical exercise, fitness, cognitive functioning, and psychosocial variables in an adolescent sample. Int. J. Environ. Res. Public Health 2020, 17, 1100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Clevinger, K.; Petrie, K.; Martin, S.; Greenleaf, C. The relationship of sport involvement and gender to physical fitness, self-efficacy, and self-concept in middle school students. Phsysical Educ. 2020, 77, 154–172. [Google Scholar] [CrossRef]
  27. Garn, A.C.; Morin, A.J.S.; White, R.L.; Owen, K.B.; Donley, W.; Lonsdale, C. Moderate-to-vigorous physical activity as a predictor of changes in physical self-concept in adolescents. Health Psychol. 2020, 39, 190–198. [Google Scholar] [CrossRef]
  28. Sanchez-Miguel, P.A.; Leo, F.M.; Amado-Alonso, D.; Hortiguela-Alcala, D.; Tapia-Serrano, M.A.; de la Cuz, E. Children’s physical self-concept and body image according to weight status and physical fitness. Sustaniability 2020, 12, 782. [Google Scholar] [CrossRef] [Green Version]
  29. Bohórquez, M.R.; Checa, I.; Ramis, Y. Study of social self-concept invariance in physical activity individual and collective practitioners. Rev. Psicol. Deporte 2019, 28, 125–130. [Google Scholar]
  30. Rey, O.; Vallier, J.M.; Nicol, C.; Mercier, C.S.; Maïano, C. Repeated effects of vigorous interval training in Basketball, Running-Biking, and Boxing on the physical self-perceptions of obese adolescents. J. Appl. Sport Psychol. 2018, 30, 64–82. [Google Scholar] [CrossRef]
  31. Atay, I.M.; Aydin, C.; Karatosun, H. Trait anger, anger expression, coping strategies and self-esteem among elite Taekwondo players. Med. Sport 2013, 66, 389–398. [Google Scholar]
  32. Kostorz, K.; Gniezinska, A.; Nawrocka, M. The hierarchy of values vs. self-esteem of persons practising martial arts and combat sports. IDO Mov. Cult. 2017, 17, 15–22. [Google Scholar] [CrossRef]
  33. Quasim, S.; Ravenscroft, J.; Sproule, J. The effect of karate practice on self-esteem in young adults with visual impairment: A case study. Aust. J. Educ. Dev. Psychol. 2014, 14, 167–185. [Google Scholar]
  34. Richman, C.L.; Rehberg, H. The development of self-esteem through the martial arts. Int. J. Sport Psychol. 1986, 17, 234–239. [Google Scholar]
  35. Kolayis, H.; Sari, I. Anxiety, self-esteem and competing ranking of judokas. Arch. Budo 2011, 7, 11–15. [Google Scholar]
  36. Fiorillo, A.; Gorwood, P. The consequences of the COVID-19 pandemic on mental health and implications for clinical practice. Eur. Psychiatry 2020, 63, e32. [Google Scholar] [CrossRef] [Green Version]
  37. Casale, S.; Flett, G.L. Interpersonally-based fears during the COVID-19 pandemic: Reflections on the fear of missing out and the fear of not mattering constructs. Clin. Neuropsychiatry 2020, 17, 88–93. [Google Scholar] [CrossRef]
  38. Akgül, S.; Hüsnü, Ş.; Derman, O.; Özmert, E.; Bideci, A.; Hasanoğlu, E. Mental health of syrian refugee adolescents: How far have we come? Turk. J. Pediatr. 2019, 61, 839–845. [Google Scholar] [CrossRef] [Green Version]
  39. Derman, O.; Akgül, S.; Ataman, E.; Ceren, M.; Ozmert, E.; Bideci, A.; Hasanoglu, E. The Rise of a Hostile Adolescent Population: The Syrian Refugee Problem. Adolesc. Psychiatry 2017, 7, 83–88. [Google Scholar] [CrossRef]
  40. Hatoss, A. Where are you from? Identity construction and experiences of othering in the narratives of Sudanese refugee-background Australians. Discource Soc. 2012, 23, 47–68. [Google Scholar] [CrossRef]
  41. Klimidis, S.; Minas, I.H.; Ata, A.W. Immigrant status and gender effects on psychopathology and self-concept in adolescents: A test of the migration-morbidity hypothesis. Compr. Psychiatry 1994, 35, 393–404. [Google Scholar] [CrossRef]
  42. Schmidt, M.; Kravic, N.; Ehlert, U. Adjustment to trauma exposure in refugee, displaced, and non-displaced Bosnian women. Arch. Womens Ment. Health 2008, 11, 269–276. [Google Scholar] [CrossRef] [Green Version]
  43. Choi, C.; Ferro, M.A. Comparing self-concept among youth currently receiving inpatient versus outpatient mental health services. J. Can. Acad. Child Adolesc. Psychiatry 2018, 27, 69–74. [Google Scholar] [PubMed]
  44. Mishra, S.K.; Mishra, B.R.; Mishra, S.; Verma, P.K.; Praharaj, S.K. Hospital dependency: An existing concept. Psychiatr. Danub. 2010, 22, 548–549. [Google Scholar] [PubMed]
  45. Wang, N.; Chung, M.C.; Wang, Y. The relationship between posttraumatic stress disorder, trauma centrality, posttraumatic growth and psychiatric co-morbidity among Chinese adolescents. Asian J. Psychiatry 2020, 49, 101940. [Google Scholar] [CrossRef] [PubMed]
  46. Karatzias, T.; Hyland, P.; Bradley, A.; Fyvie, C.; Logan, K.; Easton, P.; Shevlin, M. Is self-compassion a worthwile therapeutic target for ICD-11 Complex PTSD (CPTSD)? Behav. Cogn. Psychther. 2019, 47, 257–269. [Google Scholar] [CrossRef] [PubMed]
  47. Nasstasia, Y.; Baker, A.L.; Lewin, T.J.; Halpin, S.A.; Hides, L.; Kelly, B.J.; Callister, R. Differential treatment effects of an integrated motivational interviewing and exercise intervention on depressive symptom profiles and associated factors: A randomised controlled cross-over trial among youth with major depression. J. Affect. Dis. 2019, 259, 413–423. [Google Scholar] [CrossRef]
  48. Van Meter, A.R.; Henry, D.B.; West, A.E. What goes up must come down: The burden of bipolar depression in youth. J. Affect. Dis. 2013, 150, 1048–1054. [Google Scholar] [CrossRef] [Green Version]
  49. Weinberg, M.; Besser, A.; Zeigler-Hill, V.; Neria, Y. Dispositional optimism and self-esteem as competing predictors of acute symptoms of generalized anxiety disorders and dissociative experiences among civilians exposed to war trauma. Psychol. Trauma 2015, 7, 34–42. [Google Scholar] [CrossRef]
  50. García, F.; Musitu, G. AF5: Self-Concept Form. 5; TEA Ediciones: Madrid, Spain, 1999. [Google Scholar]
  51. Bustos, V.; Oliver, A.; Galiana, L. Validation of the Self-Concept Form 5 in Peruvian undergraduates: A tool for positive Psychology. Psicol. Reflex. Crit. 2015, 28, 690–697. [Google Scholar] [CrossRef] [Green Version]
  52. Chen, F.; Garcia, O.F.; Fuentes, M.C.; Garcia-Ros, R.; Garcia, F. Self-concept in China: Validation of the chinese version of the five-factor self-concept (AF5) Questionnaire. Symmetry 2020, 12, 798. [Google Scholar] [CrossRef]
  53. Fuentes, M.C.; García, O.F.; Gracia, E. Protective and risk factors for adolescent substance use in Spain: Self-esteem and other indicators of personal well-being and ill-being. Sustainability 2020, 12, 5962. [Google Scholar] [CrossRef]
  54. García, F.; Gracia, E.; Zeleznova, A. Validation of the English version of the Five-Factor self-concept questionnaire. Psicothema 2013, 25, 549–555. [Google Scholar] [CrossRef] [PubMed]
  55. García, F.; Martínez, I.; Balluerka, N.; Cruise, E.; García, Ó.F.; Serra, E. Validation of the Five-Factor self-concept questionnaire AF5 in Brazil: Testing factor structure and measurement invariance across language (Brazilian and Spanish), gender and age. Front. Psychol. 2018, 9, 2250. [Google Scholar] [CrossRef] [PubMed]
  56. Malo-Cerrato, S.; Bataller-Sallent, S.; Casas-Aznar, F.; Gras-Perez, M.E.; González-Carrasco, M. Psychometric analysis of the AF5 multidimensional scale of self-concept in a sample of adolescents and adults in Catalonia. Psicothema 2011, 23, 871–878. [Google Scholar] [PubMed]
  57. Murgui, S.; Garcia, C.; Garcia, A.; Garcia, F. Self-concept in young dancers and non-practitioners: Confirmatory factor analysis of the AF5 scale. Rev. Psicol. Deporte 2012, 21, 263–269. [Google Scholar]
  58. Montoya-Londono, D.M.; Dussa-Lubert, C.; Pinilla-Sepulveda, V.E.; Puente-Ferreras, A. Standardization of the AF5 self-concept scale in Colombian university students. Ans Estr. 2019, 25, 118–124. [Google Scholar] [CrossRef]
  59. World Health Organization. Global Recommendations on Physical Activity for Health; WHO Press: Geneva, Switzerland, 2010; Chapter 4; pp. 15–21. [Google Scholar]
  60. Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Lawrence Erlbaum Associates: Hillsdale, NJ, USA, 1988. [Google Scholar]
  61. Loades, M.E.; Chatburn, E.; Higson-Sweeney, N.; Reynolds, S.; Shafran, R.; Brigden, A.; Crawley, E. Rapid systematic review: The impact of social isolation and loneliness on the mental health of children and adolescents in the context of COVID-19. J. Am. Acad. Child Adolesc. Psychiatry 2020, 8, 24–32. [Google Scholar] [CrossRef]
  62. Aman, M.G.; Pearson, D.A. Challenges for child and adolescent psychiatric research in the era of COVID-19. J. Child. Adolesc. Psychopharmacol. 2020, 30, 1–5. [Google Scholar] [CrossRef]
  63. Bobo, E.; Lin, L.; Acquaviva, E.; Caci, H.; Franc, N.; Gamon, L.; Purper-Ouakil, D. How do children and adolescents with Attention Deficit Hyperactivity Disorder (ADHD) experience lockdown during the COVID-19 outbreak? Encephale 2020, 7, 9–18. [Google Scholar] [CrossRef]
  64. Liu, C.; Zhang, E.; Wong, G.T.; Hyun, S.; Hahm, H.C. Factors associated with depression, anxiety, and PTSD symptomatology during the COVID-19 pandemic: Clinical implications for U.S. young adult mental health. Psychiatry Res. 2020, 290, 113172. [Google Scholar] [CrossRef]
  65. Van der Miesen, A.I.; Raaijmakers, D.; van de Grift, T.C. You Have to Wait a Little Longer: Transgender (Mental) Health at Risk as a Consequence of Deferring Gender-Affirming Treatments During COVID-19. Arch. Sex. Behav. 2020, 49, 1395–1399. [Google Scholar] [CrossRef]
  66. McMahon, E.M.; Corcoran, P.; O’Regan, G.; Keeley, H.; Cannon, M.; Carli, V.; Hadlazki, G.; Wasserman, D.; Wasserman, C.; Hoven, C.; et al. Physical activity in European adolescents and associations with anxiety, depression and well-being. Eur. Child Adolesc. Psychiatry 2017, 26, 111–122. [Google Scholar] [CrossRef] [PubMed]
  67. Reynes, E.; Dumoulin, C.; Robert, B.; Berthouze, S.E. Why aren’t they involved in physical activities? The hypothesis of negative self-perception due to past physical activity experiences. Cogent Psychol. 2019, 6, 1576091. [Google Scholar] [CrossRef]
  68. Medina-Cascales, J.A.; Reverte-Prieto, M.J. Incidence of the practice of physical and sporting activities as a regulator of school violence. RETOS Nuevas Tend. Educ. Física Deporte Recreación 2019, 35, 54–60. [Google Scholar]
  69. Thibaut, E.; Eakins, J.; Vos, S.; Scheerder, J. Time and money expenditure in sports participation: The role of income in consuming the most practiced sports activities in Flanders. Sport Manag. Rev. 2019, 20, 455–467. [Google Scholar] [CrossRef]
  70. Fuentes, M.C.; Garcia, F.; Gracia, E.; Lila, M. Self-concept and drug use in adolescence. Adicciones 2011, 23, 237–248. [Google Scholar] [CrossRef] [Green Version]
  71. Suria-Martinez, R.; Ortigosa-Quiles, J.M.; Riquelme-Marin, A. Emotional intelligence profiles of university students with motor disabilities: Differential analysis of self-concept dimensions. Int. J. Environ. Res. Public Health 2019, 16, 4073. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Martinez-Martinez, F.D.; González-Hernández, J. Self-concept, physical exercise and its response in teenagers. Relationship with academic achievement. Rev. Iberoam. Educ. 2017, 73, 87–108. [Google Scholar]
  73. Olmedilla, A.; Ortega, E.; Abenza, L. Self-concept, sport, and physical activity practice in university students. J. Hum. Sport Exerc. 2016, 11, 415–425. [Google Scholar] [CrossRef] [Green Version]
  74. Reishehrei, A.P.; Reishehrei, A.P.; Soleimani, E. A Comparison study of self-concept and self-efficacy in martial arts and non-martial arts athletics in Iran. Procedia Soc. Behav. Sci. 2014, 116, 5025–5029. [Google Scholar] [CrossRef] [Green Version]
  75. Puertas-Molero, P.; González-Valero, G.; Sánchez-Zafra, M. Influencia de la prácticafísico deportiva sobre la Inteligencia Emocional de los estudiantes: Una revisiónsistemática. ESHPA 2017, 1, 10–24. Available online: http://hdl.handle.net/10481/48957 (accessed on 7 July 2020).
  76. Harter, S.; Marold, D.B.; Whitesell, N.R.; Cobbs, G. A Model of the effects of perceived parent and peer support on adolescent false self-behavior. Child Dev. 1996, 67, 360–374. [Google Scholar] [CrossRef] [PubMed]
  77. Coelho, V.A.; Bear, G.G.; Bras, P. A multilevel analysis of the importance of school climate for the trajectories of students’ self-concept and self-esteem throughout the middle school transition. J. Youth Adolesc. 2020, 6, 1–12. [Google Scholar] [CrossRef] [PubMed]
Table 1. Descriptive analysis of the sample.
Table 1. Descriptive analysis of the sample.
GenderMale39.7%
(n = 54)
SCPSM = 3.29;
SD = 0.762
Female60.3%
(n = 82)
ASM = 3.85;
SD = 0.707
PAYes66.2%
(n = 90)
SSM = 3.72;
SD = 0.736
No33.8%
(n = 46)
EmSM = 3.33;
SD = 0.658
MAYes14.0%
(n = 19)
FSM = 3.98;
SD = 0.746
No86.0%
(n = 117)
Table 2. Correlation between gender and self-concept (SC).
Table 2. Correlation between gender and self-concept (SC).
Gender Levene’s TestT-TestES
(d)
IC 95%
MSDFSigtdfSig. (Bilateral)
PSMale3.270.8190.0130.908−0.2251340.822−0.289[−0.530; −0.484]
Female3.300.728
ASMale3.680.6790.3350.564−2.3751340.019 **−0.060[−0.316; −0.195]
Female3.970.705
SSMale3.690.7021.3650.245−0.4691340.640−0.021[−0.250; −0.207]
Female3.750.761
EmSMale3.320.6320.4720.493−0.1851340.853−0.004[−0.254; −0.264]
Female3.340.679
FSMale3.980.7970.0070.9350.0371340.970−0.004[−0.261; −0.271]
Female3.970.715
Note 1: ** (significant ≤ 0.05). Note 2: PS (Physical Self-concept), AS (Academic Self-concept), SS (Social Self-concept), EmS (Emotional Self-concept), FS (Family Self-concept).
Table 3. Correlation between the practice of physical activity (PA) and SC.
Table 3. Correlation between the practice of physical activity (PA) and SC.
Practice of PA Levene’s TestT-TestES
(d)
IC 95%
MSDFSigtdfSig. (bilateral)
PSNo2.870.7550.6290.429−4.9221340.000 **−0.628[−0.881; −0.376]
Yes3.500.677
ASNo3.700.7771.4210.235−1.8281340.070−0.232[−0.483; 0.019]
Yes3.930.658
SSNo3.500.7730.0010.979−2.5481340.012 **−0.333[−0.592; −0.074]
Yes3.840.694
EmSNo3.320.6650.0420.837−0.1831340.855−0.021[−0.258; 0.215]
Yes3.340.659
FSNo3.830.7922.2110.139−1.6261340.106−0.218[−0.484; 0.047]
Yes4.050.714
Note 1: ** (significant ≤ 0.05). Note 2: PS (Physical Self-concept), AS (Academic Self-concept), SS (Social Self-concept), EmS (Emotional Self-concept), FS (Family Self-concept).
Table 4. Correlation between the practice of martial arts (MA) and SC.
Table 4. Correlation between the practice of martial arts (MA) and SC.
Practice of MA Levene’s TestT-TestES
(d)
IC 95%
MSDFSigtdfSig. (Bilateral)
PSNo3.300.7770.5740.4500.2901340.7720.054[−0.319; −0.429]
Yes3.240.681
ASNo3.880.7261.7060.1940.9711340.3330.169[−0.176; 0.515]
Yes3.710.571
SSNo3.730.7360.1050.7470.1111340.9120.020[−0.341; −0.381]
Yes3.710.755
EmSNo3.340.6650.3490.5560.3381340.7360.055[−0.268; 0.378]
Yes3.280.628
FSNo3.960.7330.0490.825−0.6671340.506−0.123[−0.489; 0.242]
Yes4.080.830
Note 1: PS (Physical Self-concept), AS (Academic Self-concept), SS (Social Self-concept), EmS (Emotional Self-concept), FS (Family Self-concept).
Table 5. Pearson’s r correlations between the research variables.
Table 5. Pearson’s r correlations between the research variables.
PSASSSESFSAge
PS1
AS0.369 **1
SS0.380 **0.361 **1
EmS0.392 **0.187 *0.351 **1
FS0.323 **0.469 **0.302 **0.1491
Age−0.0250.066−0.049−0.060−0.0701
Note 1: * (significant bilateral correlation at 0.05), ** (significant bilateral correlation at 0.01). Note 2: PS (Physical Self-concept), AS (Academic Self-concept), SS (Social Self-concept), EmS (Emotional Self-concept), FS (Family Self-concept).

Share and Cite

MDPI and ACS Style

Lindell-Postigo, D.; Zurita-Ortega, F.; Ortiz-Franco, M.; González-Valero, G. Cross-Sectional Study of Self-Concept and Gender in Relation to Physical Activity and Martial Arts in Spanish Adolescents during the COVID-19 Lockdown. Educ. Sci. 2020, 10, 210. https://doi.org/10.3390/educsci10080210

AMA Style

Lindell-Postigo D, Zurita-Ortega F, Ortiz-Franco M, González-Valero G. Cross-Sectional Study of Self-Concept and Gender in Relation to Physical Activity and Martial Arts in Spanish Adolescents during the COVID-19 Lockdown. Education Sciences. 2020; 10(8):210. https://doi.org/10.3390/educsci10080210

Chicago/Turabian Style

Lindell-Postigo, David, Félix Zurita-Ortega, Manuel Ortiz-Franco, and Gabriel González-Valero. 2020. "Cross-Sectional Study of Self-Concept and Gender in Relation to Physical Activity and Martial Arts in Spanish Adolescents during the COVID-19 Lockdown" Education Sciences 10, no. 8: 210. https://doi.org/10.3390/educsci10080210

APA Style

Lindell-Postigo, D., Zurita-Ortega, F., Ortiz-Franco, M., & González-Valero, G. (2020). Cross-Sectional Study of Self-Concept and Gender in Relation to Physical Activity and Martial Arts in Spanish Adolescents during the COVID-19 Lockdown. Education Sciences, 10(8), 210. https://doi.org/10.3390/educsci10080210

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop