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Article

Relationships among Physical Self-Concept, Physical Activity and Mediterranean Diet in Adolescents from the Province of Granada

by
Mariana Pérez-Mármol
1,
Ramón Chacón-Cuberos
1,*,
Eduardo García-Mármol
2 and
Manuel Castro-Sánchez
3
1
Department of Research Methods and Diagnosis in Education, University of Granada, 18071 Granada, Spain
2
Department of Physical Education and Sports, University of Granada, 18071 Granada, Spain
3
Department of Didactics of Musical, Plastic and Corporal Expression, University of Granada, 18071 Granada, Spain
*
Author to whom correspondence should be addressed.
Children 2021, 8(10), 901; https://doi.org/10.3390/children8100901
Submission received: 22 July 2021 / Revised: 21 September 2021 / Accepted: 8 October 2021 / Published: 9 October 2021
(This article belongs to the Special Issue New Research in Childhood Nutrition)
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Abstract

:
The aim of the present research was to analyse the relationships among physical self-concept, physical activity engagement and Mediterranean diet adherence in a sample of 1650 secondary school students from the province of Granada. The study design was descriptive–exploratory, cross-sectional and ex post facto. Measurements were taken from a single group. The PSQ, PAQ-A and KIDMED questionnaires were used to measure diet quality. Results showed the presence of a positive relationship among all dimensions of physical self-concept and physical activity engagement, with better outcomes being achieved in this self-perception with increasing engagement in sport. With regard to diet quality and its repercussions on physical self-concept, it was highlighted that the dimensions of the general self-concept, physical attractiveness and strength tended to be more positive as quality improved. In contrast, worse outcomes were produced in those with a low-quality diet. In this way, it was deemed necessary to continue investigating psychosocial factors with the aim of clarifying the relationships with psychological factors and health indicators. This would enable the development of prevention and intervention programs focused on promoting wellbeing in adolescents.

1. Introduction

Adolescence is an a priori term that is complex to define due to the variety of biological and sociocultural factors that intervene at the time of establishing consensus in relation to its chronology. Nonetheless, generally speaking, it defines the transitional stage located between infancy and adulthood covering, approximately, the ages of 10 y to 20 y [1]. This period is considered key in the lifecycle of human beings, given that it is during this period that the foundations of identity and personality are constructed, whilst numerous changes also take place at a physical, sexual, emotional, social and moral level. These changes later give rise to the development of variations in attitudes, thoughts, behaviours, concerns and interests, which will mark, in a decisive way, the future of adolescents [2,3]. In the search for quality of life, wellbeing and optimal development, the basic health of young people is an essential requirement. For this reason, adolescence is proposed as an excellent opportunity to promote the acquisition of healthy habits that will last throughout life [4,5,6].
Self-concept is one of the most important psychosocial factors involved in the construction and development of the “self”. This is defined as the set of opinions, hypotheses and ideas that an individual has about themselves [7]. At present, self-concept is not seen from a unidimensional or hierarchical perspective, but rather, from a multidimensional, dynamic and acquired character, which may or may not improve depending on each experience or moment. According to the model conceived of by [8,9], this construct is composed of five dimensions: social, emotional, family, academic and physical. This research focuses on the study of the last dimension mentioned, being a domain of self-concept with which it establishes high and consistent relationships [10,11]. This variable was selected because, as highlighted by numerous previous studies, a relationship exists between physical self-concept and various aspects of general health, such as physical activity engagement and correct nutrition [12,13,14,15,16,17,18], the body mass index and obesity [19,20,21]. A relationship has also been shown among social pressure, the means of communication and body dissatisfaction [22,23,24,25,26,27,28]. Specifically, physical self-concept refers to the cognitive description constructed by an individual, as a function of the following four subdomains: sport ability, physical strength, physical attractiveness and physical condition. Factors considered to influence perceptions of the aforementioned aspects concern the setting and past experiences [26,29,30].
A combination of physical activity and a balanced diet has been shown to have the best health benefits. This “holy union” can contribute to reducing the likelihood of suffering chronic conditions during adult age [31,32], perceiving greater life satisfaction and mental wellbeing [14,16,22,24,31,32,33,34,35], improving academic performance [36,37,38] and favouring variables related to the quality of life [4,15,39,40]. The need to combat physical inactivity and sedentary lifestyles has been urged at a global level in recent years. Concretely, during the current stage of the COVID-19 pandemic, being physically active and following healthy habits take on huge importance in both homes and educational institutions [41,42,43,44,45].
The infant population has reached alarming levels of a sedentary lifestyle, pointing to an increased risk of maintaining the same weight predisposition into adolescence and adulthood [46,47,48]. Given the prevalence of overweight, research in national and international contexts has been refined. It is now defined as a complex and multifaceted disease with diverse origins. Given that the influence of genetic, environmental, social and/or economic factors takes a leading role, the design of effective policy is difficult [49,50,51,52,53]. It is also notable that a relationship has been highlighted between greater body mass and a more negative physical self-concept, showing that this index is also associated with a worse image of one’s self. This reality is accentuated in adolescence given that the lack of maturity and critical thinking, together with the impact of social networks and mass media, can cause the construction of a personal identity based on beauty ideals set by society. This can pose risks to the physical and mental health of adolescents, in addition to eating disorders [54,55,56,57,58].
One of the conditioning factors behind the aforementioned incidence of overweight and high body dissatisfaction are the changing nutritional patterns that have been seen in recent years and that occur from early ages, leading to increases in the consumption of unhealthy diets (fast food). The Mediterranean diet has been confirmed to constitute one of the dietary models that is most beneficial to health due to the protective effects it exerts [59,60,61]. According to Serra [62], the Mediterranean diet is characterised by the consumption of vegetables, fruits, legumes, fish, nuts and olive oil, in addition to being low in saturated fats and rich in antioxidants. Alfonso [63] denominated this diet as the combination of foods produced by local agriculture, according to local recipes and traditional cooking methods characteristic of each geographical region. However, it also includes regular engagement in physical activity, alongside a healthy and respectful approach to the environment [64].
Another conditioning factor is the exponential increase in physical inactivity. This is issue has become so big that the WHO [65] has denominated it a general challenge to public health. Authors such as Macek et al. [66] have established minimum physical activity guidelines for children aged between 6 y and 17 y. These guidelines are as follows: engage in moderate-to-vigorous aerobic physical activity for more than 60 min a day; engage in vigorous aerobic physical activity at the least three times a week; engage in muscle strengthening activity at least three times a week. Likewise, Llamazares [67] indicated the main reasons for engaging in physical activity at these ages. These motives include benefits in the educational setting, healthier habits in general, the promotion of social relationships and the obtainment of pleasure and enjoyment.
In this way, given the numerous research studies that have concisely related the aforementioned variables, the main objective of the present study was to determine the relationships between physical self-concept, physical activity engagement and Mediterranean diet adherence in a sample of adolescents undertaking secondary school education. Based on this objective, the following three hypotheses were proposed:
  • Physical activity will be positively related to physical self-concept;
  • Adolescents reporting poorer diet quality will have a lower physical self-concept;
  • Physical self-concept will be strongly influenced by its dimensions, the practice of physical activity and the quality of the diet.

2. Materials and Methods

2.1. Subjects and Design

The present study was nonexperimental, quantitative, descriptive–exploratory, cross-sectional and ex post facto in nature. Measurements were taken from a single group. The study population of the present sample constituted all secondary school students enrolled at state-funded institutions in the province of Granada during the 2019/2020 academic year. According to the Statistical and Cartographic Unit housed within the Ministry of Education and Sport of the Local Government of Andalusia (Spain) (2020), students enrolled in the aforementioned general course of education in the province of Granada totalled 53,198 overall. In line with the criteria established by Otzen [68], all adolescents who agreed to participate and met certain inclusion criteria were considered as part of the study population. Inclusion criteria were as follows: (a) be enrolled in state-funded secondary education during the 2019/2020 academic year; (b) be aged between 11 y and 20 y; (c) provide signed informed consent for the handling of data pertaining to minors, where relevant. Likewise, exclusion criteria were established with the aim of obtaining a reliable sample. These were as follows: (a) suffering from any type of pathology or condition that would impede the correct completion of the questionnaire; (b) returning incomplete questionnaires or responses that could create confusion (responses crossed or rubbed out).
Finally, a final sample of 1650 students was obtained (Figure 1). Participants were aged between 11 y and 20 y (M = 14.48; SD = 1.41), with 50.4% (n = 832) being boys and 49.6% (n = 818) being girls. Finally, with regard to the degree of representativeness of the sample, a final sampling error of 0.023 was obtained or, in other words, a 2.37% margin of error assuming a 95% confidence level.

2.2. Instruments

The present study employed the following instruments: the KIDMED questionnaire. This instrument was developed by Serra [69] based on a previous study conducted with children and adolescents, denominated EnKid. Following this, the KIDMED questionnaire was conceived of, comprising 16 questions designed to evaluate the adherence of respondents to a Mediterranean diet. Responses were recorded as positive (the respondent’s diet meets dietary behaviour guidelines and corresponds to a Mediterranean diet) or negative evaluations (the respondent does not adhere to this diet). Specifically, the test was divided into four questions that had negative connotations (−1), whilst the twelve remaining questions were evaluated with a positive score (+1). The outcome was interpreted according to the following classification: (a) from 8 to 12: optimal adherence, in other words the respondent consumes a Mediterranean diet to a large extent (high); (b) from 4 to 7: moderate adherence; the respondent is required to improve his/her dietary pattern in order to adopt the Mediterranean model (medium); (c) from 0 to 3: very low-quality diet and, therefore, very low level of adherence to the Mediterranean diet (low). The reliability of the original instrument was determined as α = 0.854, and the present study obtained a lower index of α = 0.523. It should be noted that this coefficient is relatively low, which could be due to the reduced number of items and the confusion generated by the items formulated in the negative sense.
PAQ-A questionnaire: This questionnaire was developed by Martínez [70] and is composed of 9 questions, which evaluate the physical activity performed by the adolescent during the seven days prior to administration. The considered physical activities include that performed during free time, physical education classes, extracurricular classes and activity engaged in at the weekend. Questions 1 to 6 provide information about the types of sport. Questions 7 and 8 indicate physical activity intensity, alongside the frequency with which it is performed. Finally, Question 9 provides additional specific information pertaining to whether or not regular engagement in physical activity was impeded for some reason. Responses were recorded along a 5-point Likert scale. The internal consistency of this scale was α = 0.77 in the original study, with the present research obtaining a higher index of α = 0.861. The scores of this scale were worked out in two ways: (a) summation or total score of the scale; (b) division of the total score into tertiles: low level of PA (scores included in the first tertile of the total score), medium level of PA (scores included in the second tertile of the total score) and high level of PA (scores included in the third tertile of the total score). Specifically, it was observed that 34.2% (n = 570) of the sample were located at the low level, 50.7% (n = 844) at the medium level and only 14.2% (n = 236) associated with a high PA level.
Physical Self-concept Questionnaire (PSQ) validated by Goñi [71]: This was originally validated by these authors given the need to generate a reduced scale based exclusively on physical self-concept, in order to solve the limitations of the “Self Description Questionnaires (SQD)” based on the Marsh [72] model and the versions of the multidimensional self-concept of García [8]. The PSQ is a questionnaire composed of 36 items, distributed between two general scales (general physical self-concept and general self-concept) and four scales, which evaluate the four dimensions of physical self-concept (physical ability, physical condition, physical attractiveness and strength). With regard to reliability, this questionnaire achieved an excellent index of α = 0.927, with a highly similar index of α = 0.93 being obtained in a study conducted by Goñi [71]. Likewise, acceptable reliability indices were obtained for each dimension separately: GS, general self-concept (α = 0.722); SF-G, general physical self-concept (α = 0.802); SF-PA, physical ability (α = 0.754); SF-PC, physical condition (α = 0.831); SF-PAT, physical attractiveness (α = 0.803); SF-PS, physical strength (α = 0.751).

2.3. Procedure

Firstly, researchers from the Department of Research and Diagnostic Methods in Education, together with the Department of Musical, Artistic and Bodily Expression, put together and sent off the pertinent permissions. This was made up of informed consent forms and approval for data collection from minors. Forms were prepared for both educational institutions and families (or legal guardians). An information letter was prepared, which described the nature of the study and its aims, in addition to the research instruments that would be used and the way in which the data would be handled and used (only for scientific purposes). This serves to highlight that the present study adhered to the principles of the Declaration of Helsinki (updated in 2008) and that participants’ rights to confidentiality were respected at all times (Law 15/1999 of 13 December). Likewise, the research was supervised by the Research Ethics Committee of the University of Granada (Reference Number 2150/CEIH/2021), on 4 May 2021.
Once approval was received from educational institutions and legal guardians, data collection proceeded. Data were collected manually and in-person at the institutions, during hours agreed by the faculty and management. It should be indicated that, overall, 7 state-funded institutions from the province of Granada participated, and these data were gathered between January and March of the 2019/2020 academic year. Following the conclusion of the data collection period, data handling and analysis proceeded. As the first step, all incomplete questionnaires were discarded, along with those that presented confusing or unreliable responses. Once this task was completed, the data were cleaned in the database and introduced into the software IBM SPSS® 22.0 (IBM Corp, Armonk, NY, USA) in order to create the data matrix. This process of review and transcription was performed throughout by the principal investigator with the aim of ensuring correct data handling, whilst at the same time avoiding mistakes due to data omission or incorrect assignment.

2.4. Data Analysis

Data analysis was conducted using the statistical package IBM SPSS® 22.0 (IBM Corp, Armonk, NY, USA). Specifically, frequencies, means, standard deviations and percentages were used for the analysis of the basic descriptive data. On the other hand, associative analyses employed one-way ANOVA, the Bonferroni test for between-group associations and bivariate Pearson correlations. In order to examine the significance of associations between variables, the Pearson chi-squared test (0.05 *; 0.01 **; 0.000 ***) and Welch test were employed. Data normality was evaluated according to the values of kurtosis, with values lower than 2 being required. Homoscedasticity was examined using the Levene test. Finally, a univariate linear model was used to determine the influence of all variables on the general physical self-concept. This serves to highlight that the internal reliability of the instruments used was evaluated through Cronbach’s alpha, establishing a 95.5% reliability index.

3. Results

Table 1 shows the basic descriptive data of the variables under study. Specifically, it was observed that 50.4% (n = 832) of the subjects were men, while 49.6% (n = 818) were women. In relation to the tertiles established for physical activity, 34.5% (n = 570) showed a low level, while 51.2% (n = 844) had a medium level and 14.3% (n = 236) a high level. Diet categorization revealed that 23.3% (n = 385) had a low-quality diet, 49.8% (n = 821) of medium quality and 26.9% (n = 444) of high quality. Finally, the mean values of self-concept and its dimensions are shown, observing from the highest to lowest score: SF-G (22.25 ± 5.88), SF-PAT (21.34 ± 5.77), SF-PA (20.82 ± 5.20), SF-PC (20.35 ± 5.68) and SF-PS (19.21 ± 5.23). The general self-concept obtained a value of 23.28 ± 4.96.
Table 2 presents scores for physical self-concept and its dimensions according to physical activity level. In both cases, a growing and positive trend is seen with increasing sport engagement. Concretely, data obtained for the dimension describing general self-concept were higher when young people practiced more physical activity. The same pattern was seen with the dimensions pertaining to the general physical self-concept, physical ability, physical condition, physical attractiveness and strength. In fact, Table 1 shows higher mean values for each dimension of physical self-concept for the “high” category, followed by the medium and low levels.
Table 3 presents the different dimensions of physical self-concept according to diet quality. With regard to the dimension of the general self-concept, a positive trend is seen with increasing Mediterranean diet adherence, in addition to with physical attractiveness and strength. With regard to the general physical self-concept, in contrast, data revealed better outcomes in those with a poor-quality diet. The same occurred with the dimension describing physical ability, in which a negative trend was observed with a poorer-quality diet leading to better outcomes (23.07 ± 5.98 vs. 22.25 ± 5.58 vs. 19.86 ± 5.37). With regard to the dimension pertaining to physical condition, it was observed that adolescents who followed a medium-quality diet reported better values than those who consumed a low- or high-quality diet.
Table 4 presents the outcomes of the bivariate Pearson correlations conducted among the dimensions of self-concept, diet quality and physical activity levels. In relation to physical activity, a positive and direct relationship is shown with all its dimensions, with the highest correlation strength being observed for physical condition. Likewise, this is followed by physical ability, strength, general physical self-concept and physical attractiveness last.
The association between quality of the Mediterranean diet and physical self-concept is also demonstrated, with positive correlations in all cases. On this occasion, only low correlation strengths are shown, the highest being for physical condition. Moreover, the lowest correlation strength is given for the general physical self-concept and the general self-concept.
The existence of direct relationships among the general physical self-concept and its dimensions should be noted, observing a high correlation with physical attractiveness. Moderate-strength correlations are also shown in the fitness and physical ability dimensions. Finally, it is important to highlight that there is a positive and direct relationship between the quality of the diet and the level of physical activity.
Finally, a univariate linear model was carried out in order to verify the relationship of the analysed variables, considering physical self-concept as the dependent variable (Table 5). Levene’s equality test for the variances determined a value of p < 0.001, rejecting the null hypothesis and assuming differences among the variables. Likewise, the value of R2 was 0.658. This value determines a high percentage of explained variance, making the model valid to explain the dependent variable. In addition, appropriate values were obtained for the significance and effect sizes determined from the eta-squared.
The model determines how the dimensions of the physical self-concept, which act as covariates, configure the general physical self-concept. In this case, significance was obtained for physical condition and physical ability, with low effect sizes. On the other hand, physical attractiveness was the main determining variable, with a large effect size. In addition, it should be noted that physical strength was not a determining factor for physical self-concept, since significance was not observed. On the other hand, physical activity and quality of diet were introduced as independent variables. In this case, it was determined that diet did not influence physical self-concept, while physical activity had a moderate effect size.

4. Discussion

The purpose of the present study was to describe existing relationships among physical self-concept, physical activity engagement and adherence to the Mediterranean diet in an adolescent sample. The study arose out of the interest to better understand the influence exerted by the establishment of healthy habits, whilst also considering the aforementioned health indicators and the way in which they are linked to psychological and physical perceptions of one’s own body. The aim of this was to deepen the analysis of relevant variables and make recommendations to promote the positive development of wellbeing throughout life. In this sense, this research followed a line of high international interest as shown by various studies [13,43,73,74].
The main findings indicated that a positive relationship exists among all of the dimensions of physical self-concept and physical activity engagement, with better outcomes emerging for this dimension of self-perception with increasing sport activity. This coincides with research such as that conducted by Álvarez [75] and Fernández [13] and fulfils the first research hypothesis described above. Likewise, Revuelta [76] demonstrated that these variables share a bidirectional relationship; however, their study indicated a negative association between physical attractiveness and physical activity. In contrast, similar to what was found in the present study, Chacón [77] found a stronger correlation between physical self-concept and physical activity, with the dimension pertaining to attractiveness standing out the most. On the other hand, Muros [60] found a positive relationship between physical condition and physical activity engagement, in addition to a negative relationship between better physical condition and worse body composition. In this instance, females and students who were overweight or obese suffered from a worse physical condition. As another point, with regard to the dimension describing strength, Rodríguez [78] argued that it is a fundamental factor in the creation of children’s and adolescents’ perception of body image.
Thus, it serves to highlight the key and mediating role that is played by physical self-concept depending on the degree to which one is physically active. Along the same lines, Sánchez [79] argued the importance of this same idea, due to reciprocal influences among the physical condition, anthropometric variables and body image. To this end, Álvarez [75] emphasised the same conclusion, which is that body image influences both the physical and general self-concept, and for this reason, males show higher levels of self-concept as self-perceptions of the physical image in females tend to be harsher. Given the importance of this aspect, several authors emphasised the importance of promoting a healthy body image given the link identified among body dissatisfaction, high BMI and a negative physical self-concept, especially attractiveness [25,80,81,82].
This reality is reaffirmed by the prevalence of the two pandemics currently being faced by the world. On the one hand, global trends are seeing an increase in sedentary behaviour, higher rates of overweight/obesity and greater levels of concern about beauty ideals. On the other hand, the repercussions on general health produced by the lockdown due to COVID-19 are also being acutely perceived [83]. In this sense, despite sport being a path to improving physical, social and mental wellbeing and being one of the leisure options preferred my adolescents, the literature in general suggests that sport engagement decreases during adolescence. This is mainly because of psychological factors, such as greater stress and anxiety, academic factors, such as greater commitment to studying, and physical factors, such as weight changes [84,85,86,87]. In contrast, longitudinal studies, such as that conducted by Farooq [88], contradict the argument that this problem begins at this life stage and that females reduce their physical activity engagement substantially more than males. This being said, there can be no doubt that national and international policies are particularly important when it comes to pooling forces towards the common outcome of all adolescents meeting physical activity recommendations and, in this way, improving their wellbeing [41].
With regard to the findings obtained regarding diet quality and the consequence of this on physical self-concept, the present investigation revealed that the dimensions pertaining to the general self-concept, physical attractiveness and strength tend to be more positive as diet quality improves. In this sense, other similar studies are highlighted [89,90,91]. In contrast, with regard to the general physical self-concept and the dimension of physical ability, data revealed better outcomes in those who consumed a low-quality diet. This may be due to the interaction that takes place with social factors as this dimension tends to be associated with social events and relationships with others. Events that revolve around food such as, for example, celebrations or parties come into play here. With regard to the dimension of physical condition, adolescents consuming a medium-quality diet were observed to report better outcomes. In consideration of this, authors such as Muros [60] and Tarraga [92] also verified the existence of a correlation among the variables under discussion, namely physical activity engagement, physical condition and diet quality. In this sense, it is important to point out that the linear model carried out determined how physical strength is not a determining factor in self-concept, since this competence is not always associated with adequate levels of body composition in the adolescent population [86]. Furthermore, the quality of the diet has not been a determining factor for this variable, since the diet depends specifically on family issues in school populations [69]. Even so, the level of physical activity was relevant to configure a positive physical self-concept [30].
A number of studies have related Mediterranean diet adherence to a never-ending list of health-related variables. Tapia [93] showed that those who meet recommendations in relation to physical activity and screen time present better Mediterranean diet adherence. In a similar way, Puertas [94] revealed that this variable is directly related to physical activity engagement, hours of sleep, a better self-concept and negligible screen time. In this sense, Rosi [95] described the beneficial relationship of adherence to sleeping habits. Onetti [96], on the other hand, discussed the positive relationship of diet with academic and social self-concept, age and educational level. Finally, Carrillo [97] and Meyer [98] highlighted the role of weight as a moderating factor of diet quality, health perceptions and happiness.
Finally, it is important to point out some of the limitations associated with this study. In the first place, it should be noted that many of the factors studied are related to the body mass index (BMI), which was not considered in this research. Therefore, it would be of relevant interest to consider this dependent variable in future studies. Second, the nature of the research should be highlighted, as it is a nonexperimental study. This forces us to interpret the data with caution, since causal relationships cannot be determined. Finally, it is worth noting the interest of expanding the study sample considering data reported by the families of young adolescents. This is because, during this school stage, young people live with their families, which have a great influence on the healthy habits they develop.
In conclusion, the multiple benefits of incorporating healthy behaviours such as physical activity and maintaining a Mediterranean diet in adolescence are emphasized. However, it is also considered important to warn about the consequences of excessive physical exercise, consuming an overly restrictive diet or holding strong negative body image perceptions, outlining the various potential alterations to physical–mental health, such as the development of eating disorders. In this way, the need is highlighted to further investigate psychological factors with the aim of clarifying the relationships among psychological factors and health indicators. This will enable better development of prevention and intervention programs focused on promoting wellbeing in adolescents. To this end, it is important to equip students with skills that integrate psychological (reinforcing self-esteem and self-concept, reinforcing diversity and body image acceptance), social (social skills), general health (nutritional education, guidelines for physical activity, sleeping habits and the prevention of harmful behaviour) and educational (studying techniques, stress management) tools.

Author Contributions

Conceptualization, M.P.-M., R.C.-C. and M.C.-S.; methodology, M.P.-M., M.C.-S. and R.C.-C.; software, M.P.-M. and R.C.-C.; validation, all authors.; formal analysis, M.P.-M. and R.C.-C.; investigation, E.G.-M. and M.P.-M.; resources, E.G.-M.; data curation, M.P.-M.; writing—original draft preparation, M.P.-M.; writing—review and editing, M.P.-M. and R.C.-C.; visualization, M.P.-M., R.C.-C., M.C.-S.; supervision, R.C.-C. and M.C.-S.; project administration, M.P.-M. and E.G.-M.; funding acquisition, E.G.-M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of University of Granada (protocol code 2150/CEIH/2021 and approved on 4 May 2021).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Vergara, L. Body Image and Social Networks in Young Girls in Early Adolescence. Ph.D. Thesis, University of Chile, Santiago, Chile, 2020. [Google Scholar]
  2. Curtis, C. Defining adolescence. J. Adolesc. Health 2015, 7, 2. [Google Scholar]
  3. De la Torre, M.; Ruiz, A.; López, S.; Martínez, E. Transformational parenting style is positively related with physical self-concept during early adolescence. Retos 2018, 34, 3–7. [Google Scholar]
  4. Evaristo, S.; Moreira, C.; Lopes, L.; Oliveira, A.; Abreu, S.; Agostinis-Sobrinho, C.; Oliveira-Santos, J.; Póvoas, S.; Santos, R.; Mota, J. Muscular fitness and cardiorespiratory fitness are associated with health-related quality of life: Results from labmed physical activity study. J. Exerc. Sci. Fit. 2019, 17, 55–61. [Google Scholar] [CrossRef] [PubMed]
  5. Martínez, O.R.; Fuentes, A.L.; Escobar, S.G.; Muñoz, T.; Arévalo, R.V. Beyond appearance: Body image associated with eating disorder risk attitudes and behaviors in adolescents. J. Psychol. 2021, 10, 107–123. [Google Scholar]
  6. Vio, F.; Olaya, M.; Fuentes-García, A.; Lera, L. Delphi method to agree on educational methodologies to promote healthy eating in adolescents. Nutr. Hosp. 2020, 37, 838–849. [Google Scholar]
  7. Rebolledo, M.M.; Tirado, M.M.; Mahecha, D.P.; del Villalobos, J.C. Incidence of self-concept in the academic performance of secondary school students. Encuentros 2021, 19. [Google Scholar] [CrossRef]
  8. García, F.; Musitu, G. AF5: Self-Concept Form 5, 3rd ed.; TEA Ediciones: Madrid, Spain, 2009; pp. 1–56. [Google Scholar]
  9. 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]
  10. Marsh, H.W.; Richards, G.E.; Johnson, S.; Roche, L.; Tremayne, P. Physical self-description questionnaire: Psychometric properties and a multi-portrait-multi-method analysis of the relationships with existing instruments. J. Sport Psychol. 1994, 16, 270–305. [Google Scholar]
  11. Sonströem, R.J. The validity of self-perceptions regarding physical and athletic ability. Med. Sci. Sports Exerc. 1976, 8, 126–132. [Google Scholar] [CrossRef]
  12. Adarve, M.; Zurita Ortega, F.; Gómez Sánchez, V.; Padial Ruz, R.; Lara Sánchez, A. Influence of the practice of physical activity on the self-concept of adolescents. Retos 2019, 36, 342–347. [Google Scholar] [CrossRef]
  13. Fernández-Guerrero, M.; Feu-Molina, S.; Suárez-Ramírez, M. Physical self-concept based on sociodemographic variables and their relationship with physical activity. Cult. Cienc. Deporte 2020, 15, 189–199. [Google Scholar]
  14. Grao, A.; Fernández, A.; Nuviala, A. Association between physical condition and physical self-concept in Spanish students aged 12–16 years. Rev. Latinoam. Psicol. 2017, 49, 128–136. [Google Scholar]
  15. Miranda, D.S.; Vásquez, S.A. Relationship between Enjoyment of Physical Activity and the Physical Self-Concept of Schoolchildren. Ph.D. Thesis, Andrés Bello University, Santiago, Chile, 2020. [Google Scholar]
  16. Reigal, R.; Videra, A.; Parra, J.L.; Juárez, R. Sports physical activity, physical self-concept and psychological well-being in adolescence. Retos 2015, 22, 19–23. [Google Scholar] [CrossRef]
  17. Rojas-Cabrera, M.; Espinosa-Visquera, M.; Cabrera-Cabanillas, A.; Mejias-García, J.L. Autoconcepto físico y mental de los estudiantes del ciclo i de la carrera de educación física de la UNJFSC de Huacho. Alfa Publ. 2021, 3, 6–13. [Google Scholar]
  18. Tapia, A. Differences in levels of physical activity, degree of adherence to the Mediterranean diet and physical self-concept in adolescents according to sex. Retos 2019, 36, 185–192. [Google Scholar]
  19. Meza, P.C.; Pompa, G.E. Gender, obesity and self-concept in a sample of adolescents from Mexico. RICYDE 2016, 44, 137–148. [Google Scholar]
  20. Topcu, S.; Orthon, F.S.; Tayfun, M.; Ucaktuerk, S.A.; Demirel, F. Anxiety, depression and self-esteem levels in obese children: A case-control study. J. Pediatr. Endocrinol. Metab. 2016, 29, 357–361. [Google Scholar] [CrossRef]
  21. Twig, G.; Yaniv, G.; Levine, H.; Leiba, A.; Goldberger, N.; Derazne, E.; Ben-Ami Shor, D.; Tzur, D.; Afek, A.; Shamiss, A.; et al. Body-mass index in 2.3 million adolescents and cardiovascular death in adulthood. N. Engl. J. Med. 2016, 374, 2430–2440. [Google Scholar] [CrossRef]
  22. Alemany-Arrebola, I.; Cortijo-Cantos, A.; Granda-Vera, J. The Culture, Age and Sex as Mediators of Physical Self-Concept. Rev. Int. De Med. Cienc. Act. Física Deporte 2020, 20, 353–368. [Google Scholar]
  23. Betz, D.E.; Sabik, N.J.; Ramsey, L.R. Ideal comparisions: Body ideals harm women’s body image through social comparision. Body Image 2019, 29, 100–109. [Google Scholar] [CrossRef]
  24. Fernández, M.; Feu, S.; Suárez, M.; Suárez, Á. Satisfaction and body mass index and its influence on physical self-concept. Rev. Esp. Salud Publica 2019, 93, e201908058. [Google Scholar]
  25. Fernández-Bustos, J.-G.; González-Martí, I.; Contreras, O.; Cuevas, R. Relationship between body image and physical self-concept in adolescent women. Rev. Latinoam. Psicol. 2015, 47, 25–33. [Google Scholar]
  26. Martínez, G.G.; Báez, M.P.; Torres, L.C. Relationship between social pressure and physical self-concept in young victorenses. Rev. Iberoam. Psicol. Salud 2021, 31, 113–121. [Google Scholar]
  27. Sánchez, P.A.; Pulido, J.J.; Sánchez, D.; Amado, D.; Miguel, F. The importance of body satisfaction to physical self-concept and body mass index in Spanish adolescents. Int. J. Psychol. 2018, 54, 521–529. [Google Scholar] [CrossRef] [PubMed]
  28. Satóstegui, A. La Influencia de los Medios de Comunicación y las Redes Sociales en la Creación de la Imagen Corporal de los Jóvenes en la Etapa Secundaria. Master’s Thesis, Universidad de Barcelona, Barcelona, Spain, 2020. [Google Scholar]
  29. Fox, K.R.; Corbin, C.B. The Physical Self-Perception Profile: Development and preliminary validation. J. Sport Psychol. 1989, 11, 408–430. [Google Scholar] [CrossRef]
  30. Huang, Y.; Reynoso, L.C. Based on physical self-concept to discuss the effect of environmental education and health related physical education. Ekoloji 2018, 27, 1645–1651. [Google Scholar]
  31. Almagro, S.; Dueñas, S.; Tercedor, P. Physical activity and depression: Systematic review. Rev. Int. Medicina. Cienc. Actuar. Fis. Deporte 2016, 14, 377–392. [Google Scholar]
  32. Grao-Cruces, A.; Nuviala, A.; Fernández-Martínez, A.; Martínez-López, E.J. Relationship of physical activity and sedentarism with tobacco and alcohol consumption, and Mediterranean diet in Spanish teenagers. Nutr. Hosp. 2015, 31, 1693–1700. [Google Scholar]
  33. Cecchini, J.A.; Fernández-Río, J.; Méndez-Giménez, A.; Carriedo, A.; Arruza, J.A. A self-determination approach to the understanding of the impact of physical activity on depressive symptoms. Stress Health 2017, 33, 600–607. [Google Scholar] [CrossRef] [PubMed]
  34. Joshi, R.; Yadav, K. Effect of ICBT on alienationamong individuals with depression in relation topersonality type. Indian J. Health Wellbeing 2017, 8, 234–236. [Google Scholar]
  35. Muros, J.J.; Cofre-Bolados, C.; Arriscado, D.; Zurita, F.; Knox, E. Mediterranean diet adherence is associated with lifestyle, physical fitness, and mental wellness among 10-yolds in Chile. Nutrition 2017, 35, 87–92. [Google Scholar] [CrossRef] [Green Version]
  36. Mora, J.E.; Agraso, A.D.; Pérez, J.J.; Rosa, A.; Tárraga, M.L.; García, E.; Tárraga, P.J. Practice of physical activity according to adherence to the Mediterranean diet, alcohol consumption and motivation in adolescents. Nutr. Hosp. 2019, 36, 420–427. [Google Scholar]
  37. Broc, M.A. Academic Performance and Other Psychological, Social and Family Factors in Compulsory Secondary Education Students in a Multicultural Context. Int. J. Sociol. Educ. 2018, 7, 1–23. [Google Scholar] [CrossRef]
  38. Portolés, A.; Hernández, J.G. Academic performance and correspondence with indicators of physical and psychological health. Sportis 2015, 1, 164–181. [Google Scholar]
  39. Mirabel-Alviz, M.; León del Barco, B.; Mendo-Lázaro, S.; Iglesias-Gallego, D. Predictive role of emotional intelligence and physical activity on physical self-concept in schoolchildren. Sportis 2020, 6, 308–326. [Google Scholar]
  40. López, P.G.; Gisladóttir, T.; Ries, F. Adherence to the Mediterranean Diet, Reasons for the Practice of Physical Exercise and Body Composition in Icelandic Adolescents. Retos 2020, 8, 552–559. [Google Scholar] [CrossRef]
  41. Guthold, R.; Stevens, G.A.; Riley, L.M.; Bull, F.C. Global trends in insufficient physical activity among adolescents: A pooled analysis of 298 population-based surveys with 1.6 million participants. Lancet Child Adolesc. Health 2020, 4, 23–35. [Google Scholar] [CrossRef]
  42. Hammami, A.; Harrabi, B.; Mohr, M.; Krustrup, P. Physical activity and coronavirus disease 2019 (COVID-19): Specific recommendations for home-based physical training. Manag. Sport Leis 2020, 1–7. [Google Scholar] [CrossRef]
  43. Márquez, J.J. Physical inactivity, exercise and the COVID-19 pandemic. VIREF. Rev. Educ. Fis. Deport. 2020, 9, 43–56. [Google Scholar]
  44. Rubio, M.A.; Bretón, I. Obesity in the COVID era: A global health challenge. Endocrinol. Diabetes Nutr. 2021, 68, 123–129. [Google Scholar]
  45. Timpka, T. Sports health during the SARS-Cov-2 Pandemic. Int. J. Sports Med. 2020, 50, 1413–1416. [Google Scholar] [CrossRef]
  46. Aranceta-Bartrina, J.; Aranceta-Bartrina, J.; Gianzo-Citores, M.; Pérez-Rodrigo, C. Prevalence of overweight, obesity and abdominal obesity in the Spanish population between 3 and 24 years of age. ENPE study. Rev. Esp. Cardiol. 2020, 73, 290–299. [Google Scholar]
  47. The GBD 2015 Obesity Collaborators. Health Effects of Overweight and Obesity in 195 Countries over 25 Years. N. Engl. J. Med. 2017, 377, 13–27. [Google Scholar] [CrossRef] [PubMed]
  48. Santos, G.; Marrodán, M. Are we on the right track to reduce childhood obesity? Rev. Esp. Cardiol. 2020, 73, 277–279. [Google Scholar]
  49. Ahrens, W.; Siani, A.; Adan, R.; De Henauw, S.; Eiben, G.; Gwozdz, W.; Hebestreit, M.A.; Hunsberger, J.; Kaprio, V.; Krogh, L.; et al. Family consortium. Cohort Profile: The transition from childhood to adolescence in European children-how I.Family extends the IDEFICS cohort. Int. J. Epidemiol. 2017, 46, 1394–1395j. [Google Scholar] [PubMed] [Green Version]
  50. Balantekin, K.N.; Birch, L.L.; Savage, J.S. Family, friend and media factors are associated with weight management behavior patterns among adolescents. Eat Weight Disord. 2018, 23, 215–223. [Google Scholar] [CrossRef] [PubMed]
  51. Hüls, A.; Wright, M.N.; Bogl, L.H.; Kaprio, J.; Lissner, L.; Mólner, D.; Moreno, L.A.; De Henauw, S.; Siani, A.; Veidebaum, T.; et al. Polygenic risk of obesity and its interaction with lifestyle and sociodemographic factors in European children and adolescents. Int. J. Obes. 2021, 45, 1321–1330. [Google Scholar] [CrossRef]
  52. Rodríguez-Mireles, S.; López-Valcárcel, B.; Serra-Majem., L. Cuando las políticas industriales entran en conflicto con la salud de la población: Impacto potencial de la eliminación de los subsidios alimentarios en las tasas de obesidad. Valor Salud 2021, 24, 336–343. [Google Scholar]
  53. Sun, S.; He, J.; Shen, B.; Xitao, B.; Chen, Y.; Yang, X. Obesity as a Self-Regulating Epidemic: Obesity Coverage in Chinese Newspapers. Eat Weight Disord. 2021, 26, 569–584. [Google Scholar] [CrossRef]
  54. Jiménez, F.P.; Jiménez, C.A.; Bacardi, G.M. Dissatisfaction with body image in children and adolescents: Systematic review. Nutr. Hosp. 2017, 34, 479–489. [Google Scholar]
  55. Karazsia, B.T.; Murnen, S.K.; Tylka, T.L. Is body dissatisfaction changing across time? A cross-temporal meta-analysis. Psychol. Bull. 2017, 143, 293–320. [Google Scholar] [CrossRef]
  56. McLean, S.A.; Paxton, S.J. Body Image in the Context of Eating Disorders. Psychiatr. Clin. N. Am. 2019, 42, 145–156. [Google Scholar] [CrossRef] [PubMed]
  57. Martínez, A.C.; Chillón, P.; Martín-Matillas, M.; Pérez, I.; Castillo, R.; Zapatera, B.; Vicente-Rodríguez, G.; Casajús, J.A.; Álvarez-Granda, L.; Romero, C.; et al. Reasons for dropping out and not practicing physical-sporting activity in Spanish adolescents: Avena study. Cuad. Psicol. Deporte 2012, 12, 45–54. [Google Scholar]
  58. Walker, D.C.; White, E.K.; Srinivasan, V.J. A meta-analysis of the relationships between body checking, body image avoidance, body image dissatisfaction, mood, and disordered eating. Int. J. Eat Disord. 2018, 51, 745–770. [Google Scholar] [CrossRef] [PubMed]
  59. Corella, D. Nutrigenetics, nutrigenomics and the Mediterranean diet: A new vision for gastronomy. Nutr. Hosp. 2018, 35, 19–27. [Google Scholar] [PubMed]
  60. Muros, J.J.; Cofre-Bolados, C.; Zurita-Ortega, F.; Castro-Sánchez, M.; Linares-Manrique, M.; Chacón-Cuberos, R. Relationship between physical condition, physical activity and different anthropometric parameters in schoolchildren from Santiago. Nutr. Hosp. 2016, 33, 314–318. [Google Scholar]
  61. Peláez-Barrios, E.M.; Vernetta-Santana, M. Adherence to the Mediterranean diet in athletic children and adolescents: Systematic review. Think in motion. Rev. Int. Med. Cienc. Actuar. Fis. Deporte 2021, 19, 1–19. [Google Scholar]
  62. Serra-Majem, L.; Ortiz-Andrellucchi, A. The Mediterranean diet as an example of food and nutrition sustainability: A multidisciplinary approach. Nutr. Hosp. 2018, 35, 96–101. [Google Scholar]
  63. Alfonso, R.M.; Álvarez, F.; Del Pozo, J. Adherence to the Mediterranean diet, academic performance and level of physical activity at school age. J. Sports Sci. 2018, 4, 255–268. [Google Scholar]
  64. Serra-Majem, L.; Román-Viñas, B.; Sanchez-Villegas, A.; Guasch-Ferré, M.; Corella, D.; La Vecchia, C. Benefits of the Mediterranean diet: Epidemiological and molecular aspects. Mol. Aspects Med. 2019, 67, 1–55. [Google Scholar] [CrossRef]
  65. World Health Organization. Global Strategy on Diet, Physical Activity and Health. Physical Inactivity: A Global Public Health Problem; WHO: Geneva, Switzerland, 2020. [Google Scholar]
  66. Mahecha, M. Recommendations for physical activity. Nutr. Clin. Metab. 2019, 2. [Google Scholar]
  67. Llamazares López, A.; Nieto Rodríguez, J.; Ventola Rodríguez, N.; Moral García, J.-E. HO recommendations on physical activity versus compliance rate within a specific urban population as assessed through IPAQ survey: A cross-sectional cohort study. BMC Open 2019, 9, e.0128334. [Google Scholar]
  68. Otzen, T.; Manterola, C. Sampling techniques on a study population. J. Morphol. 2017, 35, 227–232. [Google Scholar]
  69. Serra-Majem, L.; Ribas, L.; Ngo, J.; Ortega, R.M.; García, A.; Pérez, R.C.; Aranceta, J. Food, youth and the Mediterranean diet in Spain. Development of KIDMED, Mediterranean Diet Quality Index in children and adolescents. Public Health Nutr. 2004, 7, 931–935. [Google Scholar] [CrossRef] [PubMed]
  70. Martínez, G.D.; Martínez, H.V.; Pozo, T.; Welk, G.J.; Villagra, A.; Calle, M.E.; Marcos, A.; Veiga, O.L. Fiabilidad y validez del cuestionario de actividad física PAQ-A en adolescentes españoles. Rev. Esp. Salud Publica 2009, 83, 427–439. [Google Scholar] [CrossRef] [PubMed]
  71. Goñi, A.; Ruiz de Azúa, S.; Rodríguez, A. Physical Self-Concept Questionnaire; Handbook; EOS: Coruña, Spain, 2006; pp. 1–85. [Google Scholar]
  72. Marsh, H.; O’Neill, R. Self description questionnaire III: The construct validity of multidimensional self-concept ratings by late adolescents. J. Educ. Measurem. 1984, 21, 153–174. [Google Scholar] [CrossRef]
  73. McGregor, C.C.; Kaminski, P.L.; McFarland, M.B. Feeling Fat and Depressed? Dimensions of Self-Concept That Affect Men. J. College Counsel. 2020, 23, 142–153. [Google Scholar] [CrossRef]
  74. Romero, S.G.; Vega, D.M.; Ramírez, J.V.; Casado, C.; Gråstén, A.; Jaakkola, T. Students’ physical activity intensity and sedentary behaviour by physical self-concept profiles: A latent profile analysis. RICYDE 2020, 16, 85–101. [Google Scholar]
  75. Álvarez, L.; Cuevas, R.; Lara, A.; González, J. Differences in physical self-concept in practitioners and non-practitioners of physical activity in university students. Cuad. Psicol. Deporte 2015, 15, 27–34. [Google Scholar]
  76. Revuelta, L.; Esnaola, I.; Goñi, A. Relationships between physical self-concept and adolescent physical-sports activity. Rev. Int. Med. Cienc. Actuar. Fis. Deporte 2016, 63, 561–581. [Google Scholar]
  77. Chacón, R.C.; Ortega, F.Z.; Marmol, E.G.; Sánchez, M.C. Multidimensional self-concept according to sports practice in university students of Physical Education in Andalusia. Retos 2020, 37, 174–180. [Google Scholar]
  78. Rodríguez, C.D.; Inglés, L.M. Relationship between body image and muscle strength in Spanish children and adolescents. Int. J. Public. Health 2020, 2, 4. [Google Scholar]
  79. Sánchez-Miguel, P.A.; León-Guereño, P.; Tapia-Serrano, M.A.; Hortigüela-Alcalá, D.; López-Gajardo, M.A.; Vaquero-Solís, M. The Mediating Role of the Self-Concept between the Relationship of the Body Satisfaction and the Intention to Be Physically Active in Primary School Students. Front. Public Health 2020, 8, 113. [Google Scholar] [CrossRef]
  80. Aisa, U.; Paulina, J.; Madison, G. Correspondence between physical self-concept and participation in, and fitness change after, biweekly body conditioning classes in sedentary women. J. Strength Cond. Res. 2017, 31, 451–461. [Google Scholar] [CrossRef]
  81. Jankauskiene, R.; Baceviciene, M. Body Image Concerns and Body Weight Overestimation Do Not Promote Healthy Behaviour: Evidence from Adolescents in Lithuania. Ekoloji 2019, 16, 864. [Google Scholar] [CrossRef] [Green Version]
  82. Sarrar, L.; Vilalta, M.; Schneider, N.; Corell, U.C. Body mass index and self-reported body image in German adolescents. J. Eat Disord. 2020, 8, 61. [Google Scholar] [CrossRef]
  83. Narici, M.; Vito, G.D.; Franchi, M.; Paoli, A.; Moro, T.; Marcolin, G.; Grassi, B.; Baldassarre, G.; Zuccarelli, L.; Biolo, G.; et al. Impact of sedentarism due to the COVID-19 home confinement on neuromuscular, cardiovascular and metabolic health: Physiological and pathophysiological implications and recommendations for physical and nutritional countermeasures. Eur. J. Sport Sci. 2021, 21, 614–635. [Google Scholar] [CrossRef] [PubMed]
  84. Corder, K.; Sharp, S.J.; Atkin, A.J.; Griffin, S.J.; Jones, A.P.; Ekelund, U.; Sluijs, E.M. Change in objectively measured physical activity during the transition to adolescence. Br. J. Sports Med. 2015, 49, 730–736. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Escribano, L.G.; Casas, A.G.; Fernández-Marcote, A.E.; López, P.J.; Marcos, M.L. Review and analysis of the reasons for abandoning the practice of physical activity and self-perception of motor competence. J. Negat. No Posit. Results 2017, 2, 56–61. [Google Scholar]
  86. Hootman, K.C.; Guertin, K.A.; Cassano, P.A. Stress and psychological constructs related to eating behavior are associated with anthropometry and body composition in young adults. Appetite 2018, 125, 287–294. [Google Scholar] [CrossRef] [PubMed]
  87. Lee, E.; Kim, Y. Effect of university students’ sedentary behavior on stress, anxiety, and depression. Perspect. Psychiatr. Care 2019, 55, 164–169. [Google Scholar] [CrossRef] [Green Version]
  88. Farooq, M.A.; Parkinson, K.N.; Adamson, A.J.; Pearce, M.S.; Reilly, J.K.; Hughes, R.A.; Janssen, X.; Basterfield, L.; Reilly, J.J. Timing of Physical Activity Decline in Childhood and Adolescence: Gates-head Millennium Cohort Study. Br. J. Sports Med. 2018, 52, 1002–1006. [Google Scholar] [CrossRef] [Green Version]
  89. Cuervo-Tuero, C. Relationship between body image, eating habits, self-concept and the amount of sports practice in young people aged 12 to 18 years. Ph.D. Thesis, University of Jaén, Jaén, Spain, 2016. [Google Scholar]
  90. San Mauro, I.; Garicano, E.; González, M.; Villacorta, P.; Megias, A.; Miralles, B.; Figueroa, M.; Andrés, N.; Bonilla, M.Á.; Arranz, P.; et al. Eating and psychological habits in people who do physical exercise. Nutr. Hosp. 2014, 30, 1324–1332. [Google Scholar]
  91. Zurita-Ortega, F.; San Román-Mata, S.; Chacón-Cuberos, R.; Castro-Sánchez, M.; Muros, J.J. Adherence to the Mediterranean Diet Is Associated with Physical Activity, Self-Concept and Sociodemographic Factors in University Student. Nutrients 2018, 10, 966. [Google Scholar] [CrossRef] [Green Version]
  92. Tarraga, P.J.; Garcia, E.; Rodriguez, P.L.; Perez, J.J.; Guillamon, A.; Tarraga, M.L. Physical activity, physical fitness and nutritional status in schoolchildren from 8 to 12 years. Nutr. Hosp. 2017, 34, 1292–1298. [Google Scholar]
  93. Tapia-Serrano, M.A.; Vaquero-Solís, M.; López-Gajardo, M.A.; Sánchez-Miguel, P.A. Adherence to the Mediterranean diet, and importance of physical activity and screen time in Extremaduran high school adolescents. Nutr. Hosp. 2020, 38, 236–244. [Google Scholar]
  94. Puertas-Molero, P.; San Román-Mata, S.; González-Valero, G.; Ubago-Jiménez, J.L. Habits and healthy lifestyles in primary school students. Importance of adherence to the Mediterranean diet. J. Sport Health Res. 2020, 12, 295–302. [Google Scholar]
  95. Rosi, A.; Giopp, F.; Milioli, G.; Melegari, G.; Goldoni, M.; Parrino, L.; Scazzina, F. Weight Status, Adherence to the Mediterranean Diet, Physical Activity Level, and Sleep Behavior of Italian Junior High School Adolescents. Nutrients 2020, 12, 478. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Onetti, W.; Álvarez-Kurogi, L.; Castillo-Rodríguez, A.; Onetti, W.; Álvarez-Kurogi, L.; Castillo-Rodríguez, A. Adherence to the Mediterranean diet pattern and self-concept in adolescents. Nutr. Hosp. 2019, 36, 658–664. [Google Scholar]
  97. Carrillo, L.P.; Rosa, G.A.; Tárraga, L.J.; García, C.E. Perception of loneliness, happiness and health, and quality of diet. The moderating role of weight status. Nutr. Hosp. 2021, 38, 458–463. [Google Scholar]
  98. Meyer, S.; Weidmann, R.; Grob, A. The mirror’s curse: Weight perceptions mediate the link between physical activity and life satisfaction among 727,865 teens in 44 countries. J. Sport Health Sci. 2021, 10, 48–54. [Google Scholar] [CrossRef] [PubMed]
Children 08 00901 g001 550
Figure 1. Sample distribution.
Figure 1. Sample distribution.
Children 08 00901 g001
Table
Table 1. Descriptive data of the sample.
Table 1. Descriptive data of the sample.
Frequency (n)Percentage (%)
GenderMen83250.4
Women81849.6
Tertiles of physical activityLow57034.5
Medium84451.2
High23614.3
Tertiles of diet qualityLow38523.3
Medium82149.8
High44426.9
Mean ScoreStandard Deviation (SD)
Self-conceptSF-PA20.825.20
SF-PC20.355.68
SF-PAT21.345.77
SF-PS19.215.23
SF-G22.255.88
GS23.284.96
Note: GS, general self-concept; SF-G, general physical self-concept; SF-PA, physical ability; SF-PC, physical condition; SF-PAT, physical attractiveness; SF-PS, physical strength.
Table
Table 2. The levels of physical self-concept according to the levels of physical activity.
Table 2. The levels of physical self-concept according to the levels of physical activity.
PA LevelMSD95% CIHomogeneity of VarianceANOVAWelch Test
LLULLev.Sig.FSig.WSig.
GSLow22.29 a,b,c5.0921.8722.711.060.34419.960.000--
Medium23.65 a,b4.8223.3223.97
High24.38 a,c4.7823.7724.99
SF-GLow 20.48 a,b,c6.1019.9820.984.210.01546.060.00043.160.000
Medium 22.91 a,b,c5.4722.5323.28
High24.19 a,b,c5.7223.4624.92
SF-PALow17.69 a,b,c4.9117.2918.101.900.149222.600.000--
Medium 21.96 a,b,c4.5221.6522.26
High 24.30 a,b,c4.2223.7524.84
SF-PCLow16.89 a,b,c5.0916.4717.311.800.165251.070.000--
Medium 21.45 a,b,c5.0321.1121.79
High24.77 a,b,c4.4624.1925.34
SF-PATLow19.80 a,b,c6.1419.2920.309.390.00041.140.00040.930.000
Medium21.78 a,b,c5.4121.4122.15
High23.49 a,b,c5.1022.8424.15
SF-PSLow16.82 a,b,c4.8516.4217.220.110.891139.650.000--
Medium19.83 a,b,c4.8719.5020.16
High22.77 a,b,c4.6822.1723.37
Note 1: GS, general self-concept; SF-G, general physical self-concept; SF-PA, physical ability; SF-PC, physical condition; SF-PAT, physical attractiveness; SF-PS, physical strength. Note 2: a, b, c, Post hoc (Bonferroni)—pairwise between-group comparisons. Note 2: PA, Physical Activity; M, Mean; SD, Standard Deviation; CI, Confidence Intervals; LL, Lower Limit; UL, Upper Limit; Lev., Levene-test; Sig., Level of significance; F, F-test; W, Welch statistic.
Table
Table 3. Levels of physical self-concept according to diet quality.
Table 3. Levels of physical self-concept according to diet quality.
Diet
Quality		MSD95% CIHomogeneity of VarianceANOVA
LLULLev.Sig.FSig.
GSLow22.46 a,b,c5.0121.9522.960.240.78710.400.000
Medium23.27 a,b,c4.9422.9323.61
High24.03 a,b c,4.8623.5724.48
SF-GLow 23.28 c4.9623.0423.520.690.4978.540.000
Medium 21.38 b,c5.9520.7921.98
High22.22 a,b,c5.7521.8222.61
SF-PALow 23.07 a,b,c5.9822.5123.631.800.16518.240.000
Medium 22.25 a,b,c5.8821.9722.54
High19.86 a,b,c5.3719.3220.40
SF-PCLow 20.64 a,b,c5.1920.2921.000.180.83425.240.000
Medium 21.97 a,b,c4.8721.5222.43
High20.82 a,b,c5.2020.5721.07
SF-PATLow 19.04 a,b,c5.5518.4819.591.140.31911.380.000
Medium20.19 a,b,c5.6119.8120.58
High21.77 a,b,c5.6321.2522.30
SF-PSLow 20.35 a,c5.6820.0720.620.040.96013.770.000
Medium20.40 b,c5.9619.8021.00
High21.26 a,b,c5.6120.8821.65
Note 1: GS, general self-concept; SF-G, general physical self-concept; SF-PA, physical ability; SF-PC, physical condition; SF-PAT, physical attractiveness; SF-PS, physical strength. Note 2: a, b, c, Post hoc (Bonferroni)—pairwise between-group comparisons. Note 2: M, Mean; SD, Standard Deviation; CI, Confidence Intervals; LL, Lower Limit; UL, Upper Limit; Lev., Levene-test; Sig., Level of significance; F, F-test.
Table
Table 4. Bivariate Pearson correlations of physical self-concept with diet quality and physical activity.
Table 4. Bivariate Pearson correlations of physical self-concept with diet quality and physical activity.
SF-PCSF-PATSF-PSSF-GGSDIETPA
SF-PA0.703 **0.398 **0.581 **0.421 **0.362 **0.153 **0.492 **
SF-PC 0.496 **0.552 **0.503 **0.382 **0.189 **0.528 **
SF-PAT 0.364 **0.797 **0.644 **0.118 **0.231 **
SF-PS 0.362 **0.246 **0.127 **0.414 **
SF-G 0.643 **0.099 **0.248 **
GS 0.126 **0.163 **
DIET 0.230 **
Note 1: ** = p < 0.01; Note 2: GS, general self-concept; SF-G, general physical self-concept; SF-PA, physical ability; SF-PC, physical condition; SF-PAT, physical attractiveness; SF-PS, physical strength; PA, Physical Activity.
Table
Table 5. Univariate linear model for physical self-concept.
Table 5. Univariate linear model for physical self-concept.
OriginSum of SquaresDFMSFSig.η²
Corrected model39,440.54 153257.7821.700.0000.689
Intersection29,7001297.0025.000.0000.016
SF-PA8881188.817.470.0060.005
SF-PC22,0781220.7818.590.0000.012
SF-PAT19,775.48119,775.481665.160.0000.527
SF-PS66616.660.560.4540.000
PA1022.275219.651.650.0030.054
Diet3629218.141.520.2170.002
PA ∗ Diet1091.719511.490.960.5690.058
Error17,766.50149611.87
Total corrected57,207.041649
Note 1: DF, Degrees of Freedoom; PA, Physical Activity; MS, Mean Square.
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Pérez-Mármol, M.; Chacón-Cuberos, R.; García-Mármol, E.; Castro-Sánchez, M. Relationships among Physical Self-Concept, Physical Activity and Mediterranean Diet in Adolescents from the Province of Granada. Children 2021, 8, 901. https://doi.org/10.3390/children8100901

AMA Style

Pérez-Mármol M, Chacón-Cuberos R, García-Mármol E, Castro-Sánchez M. Relationships among Physical Self-Concept, Physical Activity and Mediterranean Diet in Adolescents from the Province of Granada. Children. 2021; 8(10):901. https://doi.org/10.3390/children8100901

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Pérez-Mármol, Mariana, Ramón Chacón-Cuberos, Eduardo García-Mármol, and Manuel Castro-Sánchez. 2021. "Relationships among Physical Self-Concept, Physical Activity and Mediterranean Diet in Adolescents from the Province of Granada" Children 8, no. 10: 901. https://doi.org/10.3390/children8100901

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