Next Article in Journal
Rural Household Food Insecurity among Latino Immigrants during the COVID-19 Pandemic
Previous Article in Journal
Reply to Green-Gomez et al. Comment on “Richer et al. Night Vision and Carotenoids (NVC): A Randomized Placebo Controlled Clinical Trial on Effects of Carotenoid Supplementation on Night Vision in Older Adults. Nutrients 2021, 13, 3191”
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nutrients
Volume 14
Issue 13
10.3390/nu14132771
nutrients-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Negative Physical Self-Concept Is Associated to Low Cardiorespiratory Fitness, Negative Lifestyle and Poor Mental Health in Chilean Schoolchildren

by
Pedro Delgado-Floody
1,2,†,
Diego Soto-García
3,
Felipe Caamaño-Navarrete
4,*,†,
Bastián Carter-Thuillier
5 and
Iris Paola Guzmán-Guzmán
6
1
Department of Physical Education, Sport and Recreation, Universidad de La Frontera, Temuco 4811230, Chile
2
Department Physical Education and Sports, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain
3
Department Physical and Sport Education and Group Research AMRED, University of León, 24007 León, Spain
4
Faculty of Education, Universidad Católica de Temuco, Temuco 4780000, Chile
5
Departamento de Educación, Programa de Investigación en Deporte, Sociedad y Buen Vivir, Universidad de Los Lagos, Osorno 5290000, Chile
6
Faculty of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Guerrero 39087, Mexico
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Nutrients 2022, 14(13), 2771; https://doi.org/10.3390/nu14132771
Submission received: 19 May 2022 / Revised: 22 June 2022 / Accepted: 29 June 2022 / Published: 5 July 2022
(This article belongs to the Section Nutrition and Public Health)
Browse Figures
Versions Notes

Abstract

:
Background: Evidence suggests that physical self-concept (PSC) is linked to well-being in children and adolescents. Objective: The objective was to investigate the association of PSC with mental health (i.e., depression and body image), physical status (i.e., fitness and weight status) and lifestyle (physical activity (PA) patterns and nutritional level) in Chilean schoolchildren. Methods: A total of 617 schoolchildren (n = 271 girls and n = 346 boys) aged 10–14 years participated in this study. Self-concept, depression and body image dissatisfaction were determined by questionnaires. Physical fitness, PA, screen time (ST), Mediterranean diet (MD) adherence and anthropometric parameters were also included. Results: Poor PSC was linked to bad cardiorespiratory fitness (CRF) (<42 VO2max) (OR 1.64; 95%CI 1.12–2.34; p = 0.01), severe body image dissatisfaction (OR 2.51, 95%CI 0.99–6.35; p = 0.05), ST of more than two hours a day (OR 2.1; 95%CI 1.41–3.12; p < 0.001), PA after school of no more than two hours per week (OR 1.52; 95%CI 1.08–2.13; p = 0.015) and depression (OR 1.80; 95%CI 1.1–2.92; p = 0.017). High nutritional level showed an association with general PSC and general self-concept (p < 0.05). Absence of body image dissatisfaction was related to general self-concept (p < 0.01) and physical condition dimensions (p < 0.05). Conclusions: PSC is associated with CRF, PA after school, ST and nutritional level. According to mental health variables, poor PSC is related to depression in Chilean schoolchildren. Therefore, promoting a healthy lifestyle among children should be a target of community- and school-based interventions to promote PSC.

1. Introduction

Childhood and adolescence are crucial periods of life where physical, emotional, psychological and social changes occur [1,2]. In this sense, some studies have pointed out that this age is critical for the development of self-concept, self-knowledge and personal identity [3,4]. Mental health development is a determinant for later life, as mental health is widely seen as an important component of well-being [5]. Good mental health allows an individual to develop their own abilities, to be resistant to the stresses of life, and to make a positive contribution to their peers [6]. Therefore, a low self-concept could reduce children’s potential, increase their susceptibility to stigmatization, and risk their mental and psychological well-being [7].
PSC is defined by self-beliefs about physical ability and perceived physical appearance [8]. Likewise, PSC is configured by the ideas, beliefs or perceptions that are held in the physical field about one’s own ability, strength, attractiveness, physical condition and sports competition, among others [9], usually being defined by culture, age and sex mediators [10]. Self-concept, especially the physical dimension, is very important in the formation of personality. Furthermore, it is related to well-being in general, where by developing a positive self-concept from adolescence, a person can achieve good psychosocial adjustment and avoid future psychological and pedagogical problems [11]. Moreover, a positive self-concept is of the utmost importance for one’s personal, professional and social life, favouring the sense of one’s own identity. Prosocial behaviour also constitutes a frame of reference from which to interpret external reality and one’s own experiences, influences performance, conditions expectations and motivation, and contributes to health and psychological balance [12,13]. Therefore, PSC is fundamental to a wide variety of aspects of human integral development from childhood. For example, studies with K-12 schoolchildren indicate that a positive PSC is associated with the ability to cope with bullying situations and with the development of healthy lifestyle habits such as PA levels [14,15]. Thus, study of the variables and parameters that affect PSC is very important.
On the other hand, weight status (i.e., according BMI), fitness (i.e., both represent physical status) and lifestyle have been shown to be powerful markers of health [8,16,17] and positive health outcomes including greater well-being and self-concept [8,18]. Moreover, CRF has been associated with optimism and well-being [19]. Similarly, a good lifestyle in terms of PA levels, low ST and good nutritional level is positively associated with well-being [20,21], cognitive performance [22,23] and academic achievement [24]. Some studies have reported a strong association between a low PA level and poor mental and psychosocial well-being [25], and high sedentary time is strongly associated with depressive symptoms [26]. Additionally, it was recently reported in Latin American schoolchildren that negative feelings are associated with unhealthy lifestyles such as low nutritional level such as lack of MD adherence, increased ST, and low PA levels [27]. Likewise, a study of Chilean children showed a positive association between good nutritional level (i.e., MD adherence) and psychological health (i.e., self-esteem and self-concept) [28]. In addition, another study reported a theoretical model suggesting that BMI had a direct effect on PSC, moreover the PA had a positive indirect effect on self-concept in Spanish students [29]. In this sense, the evidence has shown that the self-concept can be negative affected by weight status [30]. Likewise, it has been reported differences in self-concept according fitness levels in schoolchildren [31]. Another study conducted in schoolchildren, showed that children’s self-concept and subjective well-being was related [32]. In addition, a longitudinal study reported that PSC were a fundamental predictor of healthy lifestyle and PSC was linked to health related behaviors an emotions in adolescents girls [33]. A study using a mediation model showed that PSC had a mediating effect in the longitudinal relation between motor ability and well-being in adolescents [34]. Another longitudinal study reported that subjects with more PA levels had better PSC and consequently better well-being [35]. Furthermore, a study conducted on students showed that PSC was related with body image [36]. Likewise, it has been reported that having low PSC impact the risk of having low levels of PA, bad MD adherence and poor life satisfaction in adolescents [37]. Better PA levels and less ST adherence could impact positively the PSC [38,39]
According with the previous evidence, we hypothesized that PSC are linked to well-being, physical fitness and lifestyle at the school age. However, there is little information regarding PSC related to lifestyle parameters that include ST and nutritional level markers such as MD adherence in Chilean children. The objective of the present study was therefore to investigate the association of PSC with psychological well-being (i.e., depression and body image), physical status (i.e., fitness and weight status) and lifestyle (PA, ST and nutritional level) in Chilean schoolchildren.

2. Materials and Methods

2.1. Participants

This cross-sectional study included 617 schoolchildren (n = 271 girls and n = 346 boys) aged between 10 and 14 years who attended schools (public and subsidized) from the Araucanía region of Chile. Parents or guardians of all schoolchildren were asked to provide signed consent before participation in this study.
The inclusion criteria were: (i) informed consent from the parents and the assent of the participant; (ii) belonging to an educational centre; and (iii) being aged 10–14 years. The exclusion criteria were: (i) having a musculoskeletal disorder; and (ii) any other known medical condition that might alter the participant’s health and PA levels. Moreover, schoolchildren with physical, sensory or intellectual disabilities were excluded from this study. The research process complied with the Helsinki Declaration (2013) and was approved by the Ethics Committee of Universidad de La Frontera, Chile (ACTAN°086_2017).

2.2. Main Outcomes and Independent Variables

2.2.1. Self-Concept (Main Outcomes)

The PSC Questionnaire (CAF) was utilized [40]. A previous study showed that CAF has proved to be adequate to evaluate PSC in Chilean Students [41]. A recent systematic review reported that CAF had high level of validity and reliability in schoolchildren [42]. It is made up of 36 items (20 of them written directly and 16 inversely) that are assessed on a five-point Likert-type scale in which 1 means false and 5 means true. Score ≤120 was reported as low PSC.
PSC is composed of six dimensions:
The physical ability dimension, which students’ express ideas such as “I have no skill in sports” or “I look clumsy in sports activities”. It represents the perception of one’s own ability to practise sport.
The physical condition dimension, which expresses ideas such as “I have a lot of physical energy” or “I can run and exercise for a long time without get tired”. It is related to confidence in one’s own physical state and in the self-perception of stamina to carry out intense physical activities.
The physical appearance dimension, with expressions such as “I find it difficult to have a good physical appearance” or “I feel confident about the physical image I transmit”. This refers to the perception of one’s own physical appearance and the degree of satisfaction one has with the image offered to others.
The strength dimension, which express ideas such as “I am capable of performing activities that require strength” or “I am strong”. It is related to the perception of strength and the ability to carry out activities that require strength, such as lifting weights.
The general PSC dimension, where students express ideas such as “Physically, I am satisfied with myself” or “I feel worse than others”. It represents opinions and feelings (happiness, satisfaction, pride and confidence) in the physical domain.
Finally, the general subscale self-concept, which expresses ideas such as “I feel happy” or “I wish I were different”. This assesses the level at which the subject is satisfied with him/herself and with life in general.

2.2.2. Depression

Characterization of depression symptoms was estimated by the Child Depression Questionnaire (CDI) [43] that consists of 27 groups of three statements each in relation to depressive symptomatology in the last two weeks. For each item, the child has three possible answers: 0, indicating the absence of symptoms; 1, indicating mild symptoms, and 2; indicating definite symptoms. The total score ranges from 0 to 54. There is a suspicion of depression in subjects with values over 18 points. Higher scores indicate higher levels of depression.

2.2.3. Body Image

In terms of body image, the Body Shape Questionnaire (BSQ) [44] was used to identify body image dissatisfaction. The questionnaire was composed of 34 items using a six-point Likert scale, where 1 = never, 2 = rarely, 3 = sometimes, 4 = often, 5 = very often and 6=always. The maximum score that can be obtained is 204 points and a minimum of 34 points. Fewer than 81 points indicates no dissatisfaction with body image; 81–110 points suggests mild dissatisfaction with body image; 111–140 points shows moderate dissatisfaction with body image; and more than 140 points indicates extreme dissatisfaction with body image.

2.2.4. Physical Activity Level

PA levels were measured using the PA Questionnaire (PAQ C) for children. Briefly, the self-administered, seven-day recall questionnaire comprises nine items and collects information on participation in different types of activities and sports (activity checklist); effort during PE; and activity during lunch, after school, in the evening and at the weekend over the past seven days. Each item was scored on a scale of 1–5, the average denoting the PAQ C score [45]. Questionnaire item 10 asks participants whether they were sick last week or whether anything prevented them from doing normal physical activities, results <4 were reported as low general PA.

2.2.5. Lifestyle

The children’s lifestyle was measured according to nutritional level, assessed by the Krece Plus test [46], a tool to determine eating patterns and the relationship with nutritional status based on the MD. The questionnaire has 15 items, and the format assesses a set of items about the food consumed in the diet. Each item has a score of +1 or −1, depending on whether it approximates to the ideal of the MD. The points are added up, and according to the score, the nutritional status is classified as follows: (i) less than or equal to 5 is a low nutritional level; (ii) 6–8 is a moderate nutritional level; and a score greater than or equal to 9 indicates a high nutritional level. This questionnaire has been used in Chilean schoolchildren [21]. The child’s lifestyle was also evaluated by the PA Krece Plus test [46], a quick questionnaire that classifies lifestyle according to the average hours spent watching television or playing video games (ST) daily, and PA hours after school per week. The classification is made according to the number of hours for each item. The total points are added up, and the person is accordingly classified as having either a good lifestyle (male ≥ 9 h, female ≥ 8 h), a regular lifestyle (male 6–8 h, female 5–7 h), or a bad lifestyle (male ≤ 5 h, female ≤ 4 h). The questionnaires were completed individually by the children in the presence of researchers.

2.2.6. Physical Fitness

CRF was estimated by the progressive 20 m shuttle run test (SRT) [47]. The participants were required to run between two lines 20 m apart while keeping pace with audio signals emitted from a pre-recorded CD. The test has been validated among Chilean schoolchildren and has been used in the Physical Education National Study [48]. The results of the 20 mSRT were unified according to the Leger test protocol, and the VO2max was calculated using Leger’s equation [47]: VO2max = (31.025 + 3.238 (V) − 3.248 (A) + 0.1536 (VA)), where V is the velocity in km/h reached in the last stage and A represents the age of the participant [49]. Good values are equal to or higher than 42 ml/kg/min, while low values are less than 42 mL/kg/min according to age and sex [49].
Handgrip muscle strength (HGS) was measured by a hand dynamometer (TKK 5101TM, Grip D; Takei, Tokyo, Japan) in order to register upper body strength. The test consists of holding a dynamometer in one hand and squeezing as tightly as possible without allowing the dynamometer to touch the body. Force is applied gradually and continuously for a maximum of 3–5 s [50]. The average of the scores achieved by the left and right hands was registered and used in the analysis.

2.2.7. Anthropometric Parameters

The participant’s body mass (kg) was measured using TANITA scales, model Scale Plus UM–028 (Tokyo, Japan); they were weighed in their underclothes and without shoes. Their height (m) was estimated with a Seca® stadiometer, model 214 (Hamburg, Germany), graded in mm. Body mass index (BMI) was calculated as body mass (kg) divided by the square of the height in metres (kg/m2) [51]. Waist circumference (WC) was measured using a Seca® tape measure model 201 (Hamburg, Germany) at the height of the umbilical scar [52]. Waist-to-height ratio (WtHR) was obtained by dividing the WC by height and was used as a tool for estimating the accumulation of fat in the central zone of the body following international standards [53]. In line with recent evidence, a cut-off of ≥0.54 was optimal to considered cardiometabolic risk (CMR) for the Latin American region [54].

2.2.8. Procedure

Research assistants visited the selected school during physical education class day. The data collected were carried out over three separate sessions by a team of researchers trained. Physical fitness was evaluated in the first session. In the second session, anthropometric assessments were carried out in a favorable space facilitated by the school with optimum temperature. Finally, lifestyle surveys and well-being instruments were applied in the classrooms and in the presence of researchers (helped for any potential question).

2.3. Statistical Analysis

Statistical analysis was performed using STATA v15.0 software. Normal distribution was tested using the Shapiro–Wilk test. For continuous variables, values are presented at the median, 5th and 95th percentiles. Differences between median values according to sex and risk categories were determined using the Mann–Whitney U test and the Chi-square test, respectively. To determine the relationship between the global self-concept and anthropometric, fitness and lifestyle parameters, a linear correlation was calculated to find the Spearman correlation (rho) coefficient. To determine the association between PSC and individual components, a linear regression was used with the inclusion of beta (95%CI) and odds ratio (95%CI). A radar chart was used to display the multi-dimensional data related to self-concept dimensions, and a comparison between the scores of different associated categories was performed. Values of p < 0.05 were considered statistically significant.

3. Results

Table 1 shows the participants’ characteristics related to anthropometrics, fitness, lifestyle and self-concept according to sex. There were significant differences only in HGS according to sex (p = 0.03). There were no significant differences in the study variables according to prevalence (%) in the other categories (Table 2).
Table 3 shows the relationships and association of global self-concept with anthropometric, fitness and lifestyle parameters in Chilean children. In terms of fitness, VO2max (mL/kg/min) reported a positive association with global self-concept (0.10, 95%CI 0.07–0.13), p < 0.001). In relation to lifestyle, ST (h/day) (−0.009, 95%CI; −0.01–−0.004), p < 0.001) and nutritional level (−0.03, 95%CI −0.05–−0.01, p = 0.002) were inversely linked to global self-concept. Meanwhile, PA after school presented a positive association (0.013, 95%CI 0.007–0.02, p < 0.001) with global self-concept. In terms of mental health, depression (−0.04, 95%CI −0.07–−0.01, p = 0.002) and body image dissatisfaction (−0.19, 95%CI −0.33–−0.05, p = 0.006) were inversely associated with the global self-concept.
Table 4 shows the association of low PSC with anthropometrics, fitness, lifestyle and well-being in Chilean children. Poor PSC was linked to bad CRF (<42 VO2max) (OR 1.64, 95%CI 1.12–2.34, p = 0.01), severe body image dissatisfaction (OR 2.51, 95%CI 0.99–6.35, p = 0.05), ST > 2 h/day (OR 2.1, 95%CI 1.41–3.12, p < 0.001), PA after school ≤2 h/week (OR 1.52 95%CI 1.08–2.13, p = 0.015) and depression (OR 1.80, 95%CI 1.1–2.92, p = 0.017).
Figure 1 charts the median values of the different self-concept dimensions according to anthropometric, fitness, nutritional level and body image categories. In terms of the dimensions of PSC, the analyses showed that normal weight was related positively to strength and physical condition dimensions (p < 0.05); good CRF was related positively to global PSC, general self-concept and physical condition (p < 0.05); and ST ≤ 2 h/day was linked to global PSC and general self-concept (p < 0.01). PA after school ≥2 h/week was linked to global PSC (p < 0.01) and appearance (p < 0.05). High nutritional level showed an association with general PSC and general self-concept (p < 0.05), while low nutritional level was related to physical ability and strength (p < 0.01). Finally, absence of body image dissatisfaction was related to general self-concept (p < 0.01) and physical condition dimensions (p < 0.05).

4. Discussion

In the present study, the objective was to investigate the association of self-concept with physical status (i.e., CRF and BMI), PA patterns and psychosocial variables in Chilean schoolchildren. The main findings of this study are, firstly, that depression and body image dissatisfaction are linked to PSC; secondly, that physical fitness and CRF are related to PSC; and thirdly, that lifestyle components are associated with PSC and its dimensions (PA levels were associated with PSC, ST (h/day) was negatively associated with the global self-concept and MD adherence is associated with general PCS and general self-concept).
The evidence have highlighted the importance of PSC of different dimensions such as the well-being [29], healthy lifestyle [33] and body dimensions [55], likewise, the PSC play a fundamental role in the field of psychology in the school age [56]. PSC play a central role in the adolescence due to physical and emotional changes [57]. In relation to psychological well-being variables, the present study reports that poor PSC is linked to depression levels. In this line, it has been indicated that differences in PSC are linked with psychiatric problems [58]. In addition, adolescents with better self-concept and self-esteem had few depression symptoms [59]. Likewise, it has been reported that depression symptoms are related to lower self-concept in schoolchildren [60]. Improve the PSC through PA programs might reduce depression symptoms and increase the subjective well-being at the school [59]. A longitudinal study showed that when the depression score decreased, the self-concept improved in schoolchildren [61]. Likewise, an umbrella systematic review focusing on PA and depression, anxiety and self-esteem in children and young people showed how PA was associated with lower depression and better PSC in children and young people [62].
Likewise, we reported that poor PSC is related to body image dissatisfaction. Similar to our results, another study showed that schoolchildren who had better body image achieved better PSC [2]. In this sense, Sánchez-Miguel et al., indicated that dimensions of self-concept can explained the body dissatisfaction in Spanish adolescents [63]. In addition, a theoretical model indicated that promoting self-concept through PA could positively impact body satisfaction in adolescents [29]. Another study reported a significant relationship between lower self-concept and poorer mental health in adolescents [64]. It is important to note that the evidence reported that the body image dissatisfaction is affected for multiples factors, likewise it is fundamental improve the body satisfaction to reduce future problems related with eating disorders [65].
In our study sample, physical fitness and CRF were related to PSC. This evidence contributes to consolidating the positive association between physical fitness and psychological well-being in schoolchildren [66,67]. In this sense, another study demonstrated that PSC was linked according fitness level in adolescents [31]. Similarly, a previous investigation reported that the components of PSC was associated with physical fitness [68]. Likewise, it has been reported that physical fitness (i.e., CRF, HGS and speed agility) is positively related to high self-concept in schoolchildren [69]. In addition, a previous study showed a positive association between better CRF and psychosocial health factors (i.e., higher self-esteem and body satisfaction, less depression) [70]. Similarly, Reigal et al. [71] reported that CRF was one of the variables of physical fitness that best predicted different dimensions of self-concept. The same authors indicated that students with better physical fitness obtained a better score in psychosocial variables. Another study with 11–17-year-old schoolchildren showed that the relationship between CRF and PA is mediated by PSC, concluding that PSC is an important determinant of PA in adolescents [72]. Current evidence suggests that CRF is a strong predictor of mental health and that improving PA levels will subsequently improve psychological well-being [73].
In the present study, PA levels were associated with PSC. A previous study also reported that PA was positively related to PSC in schoolchildren [38]. Likewise, a systematic review with a meta-analysis reported that PA interventions were linked to higher self-concept in children and adolescents; the authors therefore indicated that PA at school should be increased to promote psychological well-being [74]. In addition, a theoretical model showed that PA mediated by self-concept predicted a better perception of quality of life in schoolchildren [75]. Babic et al. [8] found that PA was positively related to PSC in children and adolescents. In this sense, it was suggested that PA had a positive indirect effect on self-concept in a meditational model in adolescents [29]. Another study that analysed the self-concept before and during the COVID-19 lockdowns showed that PA was linked to better self-concept in adolescents [76]. It is important to note that evidence also shows that high levels of PA are a protective factor against the development and progression of mental health problems [77]. Meeting the PA recommendation during adolescence, ideally at vigorous intensity, can help to prevent and reverse negative mental health situations, being an important educational and therapeutic tool. Likewise, regular practice of PA allows children and adolescents to have a better self-perception and more confidence in themselves [78].
In the present study, ST (h/day) was negatively associated with the global self-concept. Another study that investigated the association of device-measured total sedentary time with self-concept showed that adolescents who engaged in a lot of device-based sedentary time had a lower self-concept [79]. Likewise, it has been indicated that reducing ST could be a promising strategy to promote a better self-concept in adolescents [39]. Furthermore, a longitudinal study indicated that recreational ST was negatively related to mental health [80], while another study indicated that ST was associated with poorer psychosocial well-being over two years in schoolchildren [81]. A study that investigated the association between ST and psychological well-being reported that children who engaged in frequent ST had poorer mental health [82]. Therefore, the evidence has consistently shown a negative association between students’ PSC and sedentary behaviour, while a good PSC was a negative predictor of sitting time [83]. Therefore ST is linked to the development of psychosocial problems in children and adolescents [81]. A longitudinal study indicate that reducing ST can improve the subjective well-being in adolescents [84].
The present study shows that high nutritional level (i.e., MD adherence) is associated with general PSC and general self-concept. A recent study reported that adherence to a MD is linked to subjective well-being in Chilean children [85]. In addition, a recent study conducted among Chilean schoolchildren showed that adherence to a MD was associated with psychological and social health: the authors therefore concluded that it is important to develop healthy food habits in school [27]. Moreover, Grao-Cruces et al. reported that adolescent’s boys with poorer PSC had low MD adherence and poor life satisfaction, therefore the author recommended improve the PSC [37].

Limitations

The main strength of this study is the examination of several variables that have been implicated in poorer PSC in children. This inclusion generates better understanding of the consequences of physical status, psychological status and lifestyle of children aged 10–14 in Chile. Despite the apparent strengths of this study, the limitations must also be considered. The main limitation of the present investigation is its cross-sectional design. We project in the future longitudinal analyses to clarify the direction of the relations. Another limitation lies in the use of standardized questionnaires to assess lifestyle. This method of assessment is valid to an extent but can allow for the over-estimation of variables when compared to objective device-measured data. Likewise, we used a convenience sample. In the future, we must incorporate intervention studies to see if the variables improve. Improve the lifestyle and physical fitness of students through systematic interventions at the school could be positively impact a better self-concept and subjective well-being.

5. Conclusions

In conclusion, PSC is associated with CRF, PA after school, ST and nutritional level. These are all important components of the children’s lifestyle. Mental health variables showed that poor PSC is related to depression in Chilean schoolchildren. Therefore, promoting a healthy lifestyle among children should be a target of community- and school-based interventions to promote PSC.

Author Contributions

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

Funding

The postdoctoral researcher Pedro Delgado Floody has a contract through the programme “Recualificación del Profesorado Universitario. Modalidad María Zambrano”, Universidad de Granada/Ministerio de Universidades y Fondos Next Generation de la Unión Europea.

Institutional Review Board Statement

The research process complied with the Helsinki Declaration (2013) and was approved by the Ethics Committee of Universidad de La Frontera, Chile (ACTAN°086_2017).

Informed Consent Statement

Informed consent of parents and assent was obtained from all schoolers involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare that they have no conflict of interest.

References

  1. Jonsson, U.; Alaie, I.; Löfgren Wilteus, A.; Zander, E.; Marschik, P.B.; Coghill, D.; Bölte, S. Annual Research Review: Quality of life and childhood mental and behavioural disorders—A critical review of the research. J. Child. Psychol. Psychiatry 2017, 58, 439–469. [Google Scholar] [CrossRef]
  2. Mendo-Lázaro, S.; Polo-del-Río, M.I.; Amado-Alonso, D.; Iglesias-Gallego, D.; León-del-Barco, B. Self-Concept in Childhood: The Role of Body Image and Sport Practice. Front. Psychol. 2017, 8, 853. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Pfeifer, J.H.; Berkman, E.T. The Development of Self and Identity in Adolescence: Neural Evidence and Implications for a Value-Based Choice Perspective on Motivated Behavior. Child. Dev. Perspect. 2018, 12, 158–164. [Google Scholar] [CrossRef] [PubMed]
  4. Sugimura, K. Adolescent identity development in Japan. Child. Dev. Perspect. 2020, 14, 71–77. [Google Scholar] [CrossRef]
  5. Sturgeon, S. Promoting mental health as an essential aspect of health promotion. Health Promot. Int. 2006, 21, 36–41. [Google Scholar] [CrossRef] [PubMed]
  6. WHO. Promoting Mental Health: Concepts, Emerging Evidence, Practice: A Report of the World Health Organization, Department of Mental Health and Substance Abuse in collaboration with the Victorian Health Promotion Foundation and the University of Melbourne; World Health Organization: Geneva, Switzerland, 2005. [Google Scholar]
  7. Craven, R. The centrality of the self-concept construct for psychological wellbeing and unlocking human potential: Implicat. Educ. Child. Psychol. 2008, 25, 104–118. [Google Scholar]
  8. Babic, M.J.; Morgan, P.J.; Plotnikoff, R.C.; Lonsdale, C.; White, R.L.; Lubans, D.R. Physical activity and physical self-concept in youth: Systematic review and meta-analysis. Sports Med. 2014, 44, 1589–1601. [Google Scholar] [CrossRef]
  9. Esnaola, I.; Goñi, A.; Madariaga, J.M. El autoconcepto: Perspectivas de investigación. Rev. De Psicodidáctica 2008, 13, 69–96. [Google Scholar]
  10. Alemany-Arrebola, I.; Cortjo-Cantos, A.; Granda-Vera, J. The Culture, Age and Sex as Mediators of Physical Self-Concept. Rev. Int. De Med. Y Cienc. De La Act. Física Y El Deporte 2020, 20, 353–368. [Google Scholar]
  11. Luna, N.C.; Molero, D. Revisión Teórica Sobre el Autoconcepto y su Importancia en la Adolescencia; Revista Electrónica De Investigación y Docencia (REID): Valencia, Spain, 2013. [Google Scholar]
  12. García, A.R. El educación emocional, el autoconcepto, la autoestima y su importancia en la infancia. Edetania Estud. Y Propues. Socioeducativos 2013, 44, 241–257. [Google Scholar]
  13. Christner, N.; Pletti, C.; Paulus, M. Emotion understanding and the moral self-concept as motivators of prosocial behavior in middle childhood. Cogn. Dev. 2020, 55, 100893. [Google Scholar] [CrossRef]
  14. Utesch, T.; Dreiskämper, D.; Naul, R.; Geukes, K. Understanding physical (in-) activity, overweight, and obesity in childhood: Effects of congruence between physical self-concept and motor competence. Sci. Rep. 2018, 8, 5908. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Benítez-Sillero, J.D.; Ortega-Ruiz, R.; Romera, E.M. Victimization in bullying and cyberbullying and organized physical activity: The mediating effect of physical self-concept in adolescents. Eur. J. Dev. Psychol. 2021, 1–18. [Google Scholar] [CrossRef]
  16. Faigenbaum, A.D.; Myer, G.D. Exercise deficit disorder in youth: Play now or pay later. Curr. Sports Med. Rep. 2012, 11, 196–200. [Google Scholar] [CrossRef]
  17. García-Hermoso, A.; Ramírez-Campillo, R.; Izquierdo, M. Is muscular fitness associated with future health benefits in children and adolescents? A systematic review and meta-analysis of longitudinal studies. Sports Med. 2019, 49, 1079–1094. [Google Scholar] [CrossRef]
  18. Gu, X.; Chang, M.; Solmon, M.A. Physical activity, physical fitness, and health-related quality of life in school-aged children. J. Teach. Phys. Educ. 2016, 35, 117–126. [Google Scholar] [CrossRef]
  19. Rodriguez-Ayllon, M.; Cadenas-Sanchez, C.; Esteban-Cornejo, I.; Migueles, J.H.; Mora-Gonzalez, J.; Henriksson, P.; Martin-Matillas, M.; Mena-Molina, A.; Molina-Garcia, P.; Estevez-Lopez, F.; et al. Physical fitness and psychological health in overweight/obese children: A cross-sectional study from the ActiveBrains project. J. Sci. Med. Sport 2018, 21, 179–184. [Google Scholar] [CrossRef]
  20. Caamaño-Navarrete, F.; Latorre-Román, P.; Guzmán-Guzmán, I.P.; Parraga Montilla, J.; Jerez-Mayorga, D.; Delgado-Floody, P. Lifestyle mediates the relationship between self-esteem and health-related quality of life in Chilean schoolchildren. Psychol. Health Med. 2021, 27, 638–648. [Google Scholar] [CrossRef]
  21. Delgado-Floody, P.; Alvarez, C.; Caamaño-Navarrete, F.; Jerez-Mayorga, D.; Latorre-Román, P. Influence of Mediterranean diet adherence, physical activity patterns, and weight status on cardiovascular response to cardiorespiratory fitness test in Chilean school children. Nutrition 2020, 71, 110621. [Google Scholar] [CrossRef]
  22. Caamaño-Navarrete, F.; Latorre-Román, P.Á.; Párraga-Montilla, J.A.; Álvarez, C.; Delgado-Floody, P. Association between Creativity and Memory with Cardiorespiratory Fitness and Lifestyle among Chilean Schoolchildren. Nutrients 2021, 13, 1799. [Google Scholar] [CrossRef]
  23. Caamaño-Navarrete, F.; Latorre-Román, P.Á.; Párraga-Montilla, J.; Jerez-Mayorga, D.; Delgado-Floody, P. Selective Attention and Concentration Are Related to Lifestyle in Chilean Schoolchildren. Children 2021, 8, 856. [Google Scholar] [CrossRef]
  24. Donnelly, J.E.; Hillman, C.H.; Castelli, D.; Etnier, J.L.; Lee, S.; Tomporowski, P.; Lambourne, K.; Szabo-Reed, A.N. Physical activity, fitness, cognitive function, and academic achievement in children: A systematic review. Med. Sci. Sports Exerc. 2016, 48, 1197. [Google Scholar] [CrossRef] [Green Version]
  25. Zhao, J.; Zhang, Y.; Jiang, F.; Ip, P.; Ho, F.K.W.; Zhang, Y.; Huang, H. Excessive Screen Time and Psychosocial Well-Being: The Mediating Role of Body Mass Index, Sleep Duration, and Parent-Child Interaction. J. Pediatr. 2018, 202, 157–162.e151. [Google Scholar] [CrossRef] [PubMed]
  26. Domingues-Montanari, S. Clinical and psychological effects of excessive screen time on children. J. Paediatr. Child. Health 2017, 53, 333–338. [Google Scholar] [CrossRef] [PubMed]
  27. Delgado-Floody, P.; Caamaño Navarrete, F.; Bustos-Barahona, R.; González-Rivera, J.; Jerez-Mayorga, D. The social and psychological health of children is associated with Mediterranean diet adherence items, cardiorespiratory fitness, and lifestyle. Nutr. Hosp. Organo Of. De La Soc. Española De Nutr. Parenter. Y Enter. 2021, 38, 954–960. [Google Scholar] [CrossRef]
  28. 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-y-olds in Chile. Nutrition 2017, 35, 87–92. [Google Scholar] [CrossRef] [Green Version]
  29. Fernández-Bustos, J.G.; Infantes-Paniagua, Á.; Cuevas, R.; Contreras, O.R. Effect of Physical Activity on Self-Concept: Theoretical Model on the Mediation of Body Image and Physical Self-Concept in Adolescents. Front. Psychol. 2019, 10, 1537. [Google Scholar] [CrossRef] [PubMed]
  30. O’dea, J.A. Self-concept, self-esteem and body weight in adolescent females: A three-year longitudinal study. J. Health Psychol. 2006, 11, 599–611. [Google Scholar] [CrossRef] [PubMed]
  31. Sánchez-Miguel, P.A.; Leo, F.M.; Amado Alonso, D.; Hortigüela-Alcalá, D.; Tapia-Serrano, M.A.; De La Cruz-Sánchez, E. Children’s Physical Self-Concept and Body Image According to Weight Status and Physical Fitness. Sustainability 2020, 12, 782. [Google Scholar] [CrossRef] [Green Version]
  32. Terry, T.; Scott Huebner, E. The relationship between self-concept and life satisfaction in children. Soc. Indic. Res. 1995, 35, 39–52. [Google Scholar] [CrossRef]
  33. Crocker, P.R.; Sabiston, C.M.; Kowalski, K.C.; McDonough, M.H.; Kowalski, N. Longitudinal assessment of the relationship between physical self-concept and health-related behavior and emotion in adolescent girls. J. Appl. Sport Psychol. 2006, 18, 185–200. [Google Scholar] [CrossRef]
  34. Schmidt, M.; Blum, M.; Valkanover, S.; Conzelmann, A. Motor ability and self-esteem: The mediating role of physical self-concept and perceived social acceptance. Psychol. Sport Exerc. 2015, 17, 15–23. [Google Scholar] [CrossRef] [Green Version]
  35. Martín-Albo, J.; Núñez, J.L.; Domínguez, E.; León, J.; Tomás, J.M. Relationships between intrinsic motivation, physical self-concept and satisfaction with life: A longitudinal study. J. Sports Sci. 2012, 30, 337–347. [Google Scholar] [CrossRef]
  36. Marsh, H.W.; Hau, K.-T.; Sung, R.Y.; Yu, C.-W. Childhood obesity, gender, actual-ideal body image discrepancies, and physical self-concept in Hong Kong children: Cultural differences in the value of moderation. Dev. Psychol. 2007, 43, 647. [Google Scholar] [CrossRef]
  37. Grao-Cruces, A.; Nuviala, A.; Fernández-Martínez, A.; Pérez-Turpin, J.A. Association of physical self-concept with physical activity, life satisfaction and Mediterranean diet in adolescents. Kinesiology 2014, 46, 3–11. [Google Scholar]
  38. 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. [Google Scholar] [CrossRef] [PubMed]
  39. Suchert, V.; Hanewinkel, R.; Isensee, B. Screen time, weight status and the self-concept of physical attractiveness in adolescents. J. Adolesc. 2016, 48, 11–17. [Google Scholar] [CrossRef] [PubMed]
  40. Goñi, A.; Ruiz de Azúa, S.; Rodríguez, A. Cuestionario de Autoconcepto físico; Manual; EOS: Madrid, Spain, 2006. [Google Scholar]
  41. Navas Martínez, L.; Soriano Llorca, J.A.; Holgado Tello, F.P. The CAF physical self-concept questionnaire in a sample of Chilean students. Manual. Madr. EOS 2013, 11, 809–830. [Google Scholar]
  42. Palenzuela-Luis, N.; Duarte-Clíments, G.; Gómez-Salgado, J.; Rodríguez-Gómez, J.Á.; Sánchez-Gómez, M.B. Questionnaires Assessing Adolescents&rsquo; Self-Concept, Self-Perception, Physical Activity and Lifestyle: A Systematic Review. Children 2022, 9, 91. [Google Scholar] [CrossRef]
  43. Kovacs, M. The Children’s Depression, Inventory (CDI). Psychopharmacol. Bull. 1985, 21, 995–998. [Google Scholar]
  44. Cooper, P.J.; Taylor, M.J.; Cooper, Z.; Fairbum, C.G. The development and validation of the Body Shape Questionnaire. Int. J. Eat. Disord 1987, 6, 485–494. [Google Scholar] [CrossRef]
  45. Manchola-González, J.; Bagur-Calafat, C.; Girabent-Farrés, M. Fiabilidad de la versión española del Cuestionario de actividad física PAQ-C. Rev. Int. De Med. Y Cienc. De La Act. Física Del Deporte 2017, 17, 139–152. [Google Scholar]
  46. Majem, L.S.; Barba, L.R.; Bartrina, J.A.; Rodrigo, C.P.; Santana, P.S.; Quintana, L.P. Obesidad infantil y juvenil en España. Resultados del Estudio enKid (1998–2000). Med. Clin. 2003, 121, 725–732. [Google Scholar] [CrossRef]
  47. Leger, L.A.; Mercier, D.; Gadoury, C.; Lambert, J. The multistage 20 metre shuttle run test for aerobic fitness. J. Sports Sci. 1988, 6, 93–101. [Google Scholar] [CrossRef] [PubMed]
  48. Informe de Resultados Educativos 2015 para Docentes y Directivos. Agencia de Calidad de la Educación: Santiago, Chile, 2015. Available online: http://archivos-web.agenciaeducacion.cl/resultados-simce/fileadmin/Repositorio/2015/basica/Docentes_y_Directivos/IRE_BASICA_2015_RBD-1549.pdf (accessed on 15 May 2022).
  49. Silva, D.A.S.; Lang, J.J.; Barnes, J.D.; Tomkinson, G.R.; Tremblay, M.S. Cardiorespiratory fitness in children: Evidence for criterion-referenced cut-points. PLoS ONE 2018, 13, e0201048. [Google Scholar] [CrossRef]
  50. Ruiz, J.R.; Espana Romero, V.; Castro Pinero, J.; Artero, E.G.; Ortega, F.B.; Cuenca, M.; Jimenez, D.; Chillon, P.; Girela, M.J.; Mora, J.; et al. Bateria ALPHA-Fitness: Test de campo para la evaluacion de la condicion fisica relacionada con la salud en ninos y adolescentes. Nutr. Hosp. 2011, 26, 1210–1214. [Google Scholar] [PubMed]
  51. Karnik, S.; Kanekar, A. Childhood obesity: A global public health crisis. Int. J. Prev. Med. 2012, 3, 14. [Google Scholar]
  52. Schröder, H.; Ribas, L.; Koebnick, C.; Funtikova, A.; Gomez, S.F.; Fíto, M.; Perez-Rodrigo, C.; Serra-Majem, L. Prevalence of abdominal obesity in Spanish children and adolescents. Do we need waist circumference measurements in pediatric practice? PLoS ONE 2014, 9, e87549. [Google Scholar] [CrossRef]
  53. Chung, I.H.; Park, S.; Park, M.J.; Yoo, E.-G. Waist-to-height ratio as an index for cardiometabolic risk in adolescents: Results from the 1998–2008 KNHANES. Yonsei Med. J. 2016, 57, 658–663. [Google Scholar] [CrossRef] [PubMed]
  54. Ezzatvar, Y.; Izquierdo, M.; Ramírez-Vélez, R.; del Pozo Cruz, B.; García-Hermoso, A. Accuracy of different cutoffs of the waist-to-height ratio as a screening tool for cardiometabolic risk in children and adolescents: A systematic review and meta-analysis of diagnostic test accuracy studies. Obes. Rev. 2021, 10, e13375. [Google Scholar] [CrossRef]
  55. Zsakai, A.; Karkus, Z.; Utczas, K.; Bodzsar, E.B. Body structure and physical self-concept in early adolescence. J. Early Adolesc. 2017, 37, 316–338. [Google Scholar] [CrossRef]
  56. Lohbeck, A.; Tietjens, M.; Bund, A. A short German Physical-Self-Concept Questionnaire for elementary school children (PSCQ-C): Factorial validity and measurement invariance across gender. J. Sports Sci. 2017, 35, 1691–1696. [Google Scholar] [CrossRef]
  57. Carraro, A.; Scarpa, S.; Ventura, L. Relationships between physical self-concept and physical fitness in Italian adolescents. Percept. Mot. Ski. 2010, 110, 522–530. [Google Scholar] [CrossRef]
  58. Simons, J.; Capio, C.M.; Adriaenssens, P.; Delbroek, H.; Vandenbussche, I. Self-concept and physical self-concept in psychiatric children and adolescents. Res. Dev. Disabil. 2012, 33, 874–881. [Google Scholar] [CrossRef] [PubMed]
  59. Garaigordobil, M.; Durá, A.; Pérez, J.I. Psychopathological symptoms, behavioural problems and self-concept/self-esteem: A study of adolescents aged 14 to 17 years old. Annu. Clin. Health Psychol. 2005, 1, 53–63. [Google Scholar]
  60. Jaureguizar, J.; Garaigordobil, M.; Bernaras, E. Self-concept, social skills, and resilience as moderators of the relationship between stress and childhood depression. Sch. Ment. Health 2018, 10, 488–499. [Google Scholar] [CrossRef]
  61. Montague, M.; Enders, C.; Dietz, S.; Dixon, J.; Cavendish, W.M. A longitudinal study of depressive symptomology and self-concept in adolescents. J. Spec. Educ. 2008, 42, 67–78. [Google Scholar] [CrossRef]
  62. Dale, L.P.; Vanderloo, L.; Moore, S.; Faulkner, G. Physical activity and depression, anxiety, and self-esteem in children and youth: An umbrella systematic review. Ment. Health Phys. Act. 2019, 16, 66–79. [Google Scholar] [CrossRef]
  63. Sánchez-Miguel, P.A.; González, J.J.P.; Sánchez-Oliva, D.; Alonso, D.A.; Leo, F.M. The importance of body satisfaction to physical self-concept and body mass index in Spanish adolescents. Int. J. Psychol. 2019, 54, 521–529. [Google Scholar] [CrossRef]
  64. Fathi-Ashtiani, A.; Ejei, J.; Khodapanahi, M.-K.; Tarkhorani, H. Relationship between self-concept, self-esteem, anxiety, depression and academic achievement in adolescents. J. Appl. Sci. 2007, 7, 955–1000. [Google Scholar]
  65. Petroski, E.L.; Pelegrini, A.; Glaner, M.F. Reasons and prevalence of body image dissatisfaction in adolescents. Cienc. Saude Coletiva 2012, 17, 1071–1077. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Ortega, F.B.; Ruiz, J.R.; Castillo, M.J.; Sjostrom, M. Physical fitness in childhood and adolescence: A powerful marker of health. Int. J. Obes. 2008, 32, 3774. [Google Scholar] [CrossRef] [Green Version]
  67. Dogra, S.; MacIntosh, L.; O’Neill, C.; D’Silva, C.; Shearer, H.; Smith, K.; Cote, P. The association of physical activity with depression and stress among post-secondary school students: A systematic review. Ment. Health Phys. Act. 2018, 14, 146–156. [Google Scholar] [CrossRef]
  68. Marsh, H.W.; Redmayne, R.S. A multidimensional physical self-concept and its relations to multiple components of physical fitness. J. Sport Exerc. Psychol. 1994, 16, 43–55. [Google Scholar] [CrossRef] [Green Version]
  69. García, P.L.R.; Marcos, L.T.; Guillamón, A.R.; García-Cantó, E.; Pérez-Soto, J.J.; Casas, A.G.; Lopez, P.T. Physical fitness level and its relationship with self-concept in school children. Psychology 2014, 5, 2009. [Google Scholar] [CrossRef] [Green Version]
  70. Greenleaf, C.A.; Petrie, T.A.; Martin, S.B. Psychosocial variables associated with body composition and cardiorespiratory fitness in middle school students. Res. Q. Exerc. Sport 2010, 81, S65–S74. [Google Scholar] [CrossRef]
  71. Reigal, R.E.; Moral-Campillo, L.; Morillo-Baro, J.P.; Juarez-Ruiz de Mier, 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] [Green Version]
  72. Jekauc, D.; Wagner, M.O.; Herrmann, C.; Hegazy, K.; Woll, A. Does Physical Self-Concept Mediate the Relationship between Motor Abilities and Physical Activity in Adolescents and Young Adults? PLoS ONE 2017, 12, e0168539. [Google Scholar] [CrossRef] [Green Version]
  73. Vancampfort, D.; Rosenbaum, S.; Schuch, F.; Ward, P.B.; Richards, J.; Mugisha, J.; Probst, M.; Stubbs, B. Cardiorespiratory Fitness in Severe Mental Illness: A Systematic Review and Meta-analysis. Sports Med. 2017, 47, 343–352. [Google Scholar] [CrossRef]
  74. Liu, M.; Wu, L.; Ming, Q. How does physical activity intervention improve self-esteem and self-concept in children and adolescents? Evidence from a meta-analysis. PLoS ONE 2015, 10, e0134804. [Google Scholar] [CrossRef]
  75. Vaquero-Solís, M.; Tapia-Serrano, M.A.; Hortigüela-Alcalá, D.; Sierra-Díaz, M.J.; Sánchez-Miguel, P.A. Physical activity and quality of life in high school students: Proposals for improving the self-concept in physical education. Int. J. Environ. Res. Public Health 2021, 18, 7185. [Google Scholar] [CrossRef]
  76. González-Valero, G.; Zurita-Ortega, F.; Lindell-Postigo, D.; Conde-Pipó, J.; Grosz, W.R.; Badicu, G. Analysis of self-concept in adolescents before and during COVID-19 lockdown: Differences by gender and sports activity. Sustainability 2020, 12, 7792. [Google Scholar] [CrossRef]
  77. Goldfield, G.S.; Henderson, K.; Buchholz, A.; Obeid, N.; Nguyen, H.; Flament, M.F. Physical Activity and Psychological Adjustment in Adolescents. J. Phys. Act. Health 2011, 8, 157–163. [Google Scholar] [CrossRef]
  78. Daniel Martínez-Martínez, F.; González-Hernández, J. Practice of physical activity, prosocial behavior and self-concept in adolescents: Connections in school contexts. Electron. J. Res. Educ. Psychol. 2018, 16, 555–577. [Google Scholar]
  79. Raquel de Oliveira Bueno, M.; de Oliveira Werneck, A.; Zambrin, L.F.; Samara da Silva, K.; Junior, H.S.; Romanzini, M.; Vaz Ronque, E.R. Associations of device-measured sedentary time, mentally-passive and mentally-active sedentary behaviors with self-concept in adolescents. Ment. Health Phys. Act. 2022, 22, 100430. [Google Scholar] [CrossRef]
  80. Babic, M.J.; Smith, J.J.; Morgan, P.J.; Eather, N.; Plotnikoff, R.C.; Lubans, D.R. Longitudinal associations between changes in screen-time and mental health outcomes in adolescents. Ment. Health Phys. Act. 2017, 12, 124–131. [Google Scholar] [CrossRef]
  81. Allen, M.S.; Vella, S.A. Screen-based sedentary behaviour and psychosocial well-being in childhood: Cross-sectional and longitudinal associations. Ment. Health Phys. Act. 2015, 9, 41–47. [Google Scholar] [CrossRef]
  82. Delgado Floody, P.; Jerez Mayorga, D.; Caamano-Navarrete, F.; Carter-Thuillier, B.; Cofre-Lizama, A.; Alvarez, C. Psychological well-being related to screen time, physical activity after school, and weight status in Chilean schoolchildren. Nutr. Hosp. 2019, 36, 1254–1260. [Google Scholar] [CrossRef]
  83. Pulido, J.J.; Tapia-Serrano, M.Á.; Díaz-García, J.; Ponce-Bordón, J.C.; López-Gajardo, M.Á. The Relationship between Students’ Physical Self-Concept and Their Physical Activity Levels and Sedentary Behavior: The Role of Students’ Motivation. Int. J. Environ. Res. Public Health 2021, 18, 7775. [Google Scholar] [CrossRef]
  84. Babic, M.; Colyvas, K.; Morgan, P.; Plotnikoff, R.; Lonsdale, C.; Lubans, D. Longitudinal associations between recreational screen-time and mental health in Australian adolescents: A cross-lagged panel analysis. J. Sci. Med. Sport 2017, 20, e4. [Google Scholar] [CrossRef]
  85. López-Gil, J.F.; García-Hermoso, A. Adherence to the Mediterranean diet and subjective well-being among Chilean children. Appetite 2022, 172, 105974. [Google Scholar] [CrossRef] [PubMed]
Nutrients 14 02771 g001a 550Nutrients 14 02771 g001b 550
Figure 1. Radar chart shows values of median of different self-concept dimension compared according to anthropometric, fitness, nutritional level and body image categories. The asterisks represent significant statistical differences between categories for each self-concept dimension * p < 0.05, ** p < 0.01.
Figure 1. Radar chart shows values of median of different self-concept dimension compared according to anthropometric, fitness, nutritional level and body image categories. The asterisks represent significant statistical differences between categories for each self-concept dimension * p < 0.05, ** p < 0.01.
Nutrients 14 02771 g001aNutrients 14 02771 g001b
Table
Table 1. Characteristics related to anthropometric, fitness, lifestyle and self-concept in children according to sex.
Table 1. Characteristics related to anthropometric, fitness, lifestyle and self-concept in children according to sex.
TotalGirlsBoysp Value
n = 617 n = 271 n = 346
Characteristics
Demographics
Age (years)12 (10–13)12 (10–13)12 (10–13)0.80
Anthropometric parameters
Body mass (kg) 50.8 (33–79)51.7 (33–81)49.9 (33.2–81)0.17
Zise (m)1.55 (1.4–1.73)1.6 (1.4–1.72)1.55 (1.4–1.73)0.42
BMI (kg/m2)20.8 (15.6–29.9)21.4 (15.5–30.7)20.5 (15.6–29.8)0.19
WC (cm)72 (59–97)72 (59–98)71 (59–96)0.15
WHtR (waist/size)0.46 (0.38–0.60)0.47 (0.38–0.60)0.46 (0.38–0.59)0.26
Fitness
VO2max (mL/kg/min)44.5 (35.9–61.8)44.5 (35.9–59.3)44.5 (37.7–61.8)0.46
HGS (kg)23 (13–42)22 (12–38)24 (13–42)0.03
Lifestyle
Screen Time (h/day)3 (1–5)3 (1–5)3 (1–5)0.88
PA afterschool (h/week)3 (0–5)3 (0–5)3 (0–5)0.12
General PA (score)2.7 (1.3–5)2.8 (1.2–5)2.8 (1.3–5)0.39
Krece plus (score)5 (−2–11)5 (−2–11)5 (−2–11)0.57
Mental health
Body image dissatisfaction (score)48 (34–134)47 (34–132)48 (34–134)0.40
Depression (score)13 (4–28)12 (4–28)14 (4–28)0.35
PSC
Physical ability21 (13–30)21 (13–30)22 (14–30)0.52
Physical condition20 (10–30)20 (10–30)20 (11–30)0.90
Appearance21 (13–30)22 (13–30)21 (12–30)0.33
Strength20 (10–30)20 (10–30)20 (10–29)0.44
General PSC23 (11–30)23 (11–30)24 (11–30)0.33
General self-concept23 (13–30)23 (13–30)23 (13–30)0.99
PSC (total score)129 (98–160)129 (98–159)129 (98–161)0.93
Data show median and 5th and 95th percentile. BMI = body mass index, WC = waist circumference, WtHR = waist-to-height ratio. VO2max = maximal oxygen consumption. HGS = hand grip strength test. PA = physical activity, BSQ = Body Shape Questionnaire. PSC = physical self-concept. p value less than 0.05 are considered statistically significant.
Table
Table 2. Characteristics related to anthropometric, cardiorespiratory fitness and lifestyle in children according to sex.
Table 2. Characteristics related to anthropometric, cardiorespiratory fitness and lifestyle in children according to sex.
CharacteristicsTotal
n = 617		Girls
n = 271		Boys
n = 346		p Value
Anthropometric parameters
BMI category 0.25
     Normal weight, n (%)311 (50.4)130 (48.0)181 (52.3)
     Overweigh, n (%)155 (25.1)66 (24.3)89 (25.7)
     Obesity, n (%)151 (24.5)75 (27.7)76 (22.0)
CMR, category, n (%) 0.29
     WtHR ≤ 0.54501 (81.2)215 (79.3)286 (82.7)
     WtHR > 0.54116 (18.8)56 (20.7)60 (17.3)
Fitness
CRF, category 0.36
     Good (≥42 mL/kg/min)415 (67.2)177 (65.3)238 (67.3)
     Bad (<42 mL/kg/min)202 (32.7)94 (34.7)108 (31.2)
HGS, category, n (%) 0.40
     Acceptable (Up 3er tertile)423 (68.6)181 (66.8)242 (69.9)
     Low (under 3er tertile) 194 (31.4)90 (33.2)104 (30.1)
Lifestyle
Screen Time, category, n (%) 0.86
     Acceptable (≤2 h/day)182 (29.5)79 (29.1)103 (29.8)
     Bad (>2 h/day)435 (70.5)192 (70.8)243 (70.2)
PA afterschool, n (%) 0.12
     Acceptable (>2 h/week)361 (58.5)168 (62.0)193 (55.8)
     Bad (≤2 h/week)256 (41.5)103 (38.0)153 (44.2)
PA general, category, n (%) 0.87
     Good (≥4 score)143 (23.2)62 (22.9)81 (23.4)
     Bad (<4 score)474 (76.8)209 (77.1)265 (76.6)
Nutritional level, category, n (%) 0.97
     Hight (≥9)212 (34.4)92 (34.0)120 (34.7)
     Moderate (6–8)69 (11.2)31 (11.4)38 (11.0)
     Low (≤5)336 (54.4)148 (54.6)188 (54.3)
Body image dissatisfaction, category, n (%) 0.64
     No462 (74.8)205 (75.6)257 (74.3)
     Mild85 (13.8)40 (14.8)45 (13.0)
     Moderate51 (8.3)19 (7.0)32 (9.2)
     Marked19 (3.1)7 (2.6)12 (3.5)
Depression, category, n (%) 0.65
     No540 (87.5)239 (88.2)301 (87.0)
     Yes77 (12.5)32 (11.8)45 (13.0)
Data shown represent n and proportions (%). BMI = body mass index, WC = waist circumference, CMR = cardiometabolic risk, WtHR = waist-to-height ratio, CRF = cardiorespiratory fitness, HGS = hand grip strength test. PA = physical activity. p-value less than 0.05 are considered statistically significant.
Table
Table 3. Association of physical self-concept with anthropometric, fitness and lifestyle parameters in Chilean children.
Table 3. Association of physical self-concept with anthropometric, fitness and lifestyle parameters in Chilean children.
CharacteristicsRho Coefficient (p-Value)β (95%CI), p-Value
Demographics
Age (years)−0.03 (0.32)−0.002 (−0.006 to 0.002), 0.30
Anthropometric parameters
Body mass (kg) −0.05 (0.18)−0.02 (−0.08 to 0.03), 0.49
BMI (kg/m2)−0.04 (0.24)−0.007 (−0.02 to 0.01), 0.42
WC (cm)−0.03 (0.37)−0.01 (−0.06 to 0.03), 0.51
WHtR (WC/size)−0.03 (0.44)−0.00008 (−0.0003 to 0.0002), 0.59
Fitness
VO2max (mL/kg/min)0.18 (<0.001)0.10 (0.07 to 0.13), <0.001
HGS (kg)0.06 (0.08)0.02 (−0.01 to 0.05), 0.28
Lifestyle
Screen Time (h/day)−0.15 (<0.001)−0.009 (−0.01 to −0.004), <0.001
PA afterschool (h/week)0.16 (<0.001)0.013 (0.007 to 0.02), <0.001
General PA (score)0.05 (0.17)0.004 (−0.0008 to 0.008), 0.10
Krece plus (score)−0.12 (0.001)−0.03 (−0.05 to −0.01), 0.002
Mental health
Body image dissatisfaction (score)−0.11 (0.004)−0.19 (−0.33 to −0.05), 0.006
Depression (score)−0.11 (0.003)−0.04 (−0.07 to −0.01), 0.002
Data shown represent rho Spearman correlation coefficient (p value) and β Coefficient (95% CI), adjusted by age and sex. BMI = body mass index, WC = waist circumference, WtHR = waist-to-height ratio, VO2max = maximal oxygen consumption, HGS = hand grip strength test. PA = physical activity. p-value less than 0.05 are considered statistically significant.
Table
Table 4. Association of low physical self-concept with anthropometric, fitness and lifestyle parameters in Chilean children.
Table 4. Association of low physical self-concept with anthropometric, fitness and lifestyle parameters in Chilean children.
CharacteristicsOR (95%CI) p-Value
PSC
(≤120 Score)
Anthropometric parameters
Overweigh or obesity1.34 (0.96–1.88), 0.08
CMR (WHtR > 0.54)1.29 (0.84–1.97), 0.22
Fitness
CRF Bad (<42 Vo2Max)1.48 (1.01–2.16), 0.04
HGS Low (under 3th tertile)1.03 (0.71–1.47), 0.86
Lifestyle
Screen Time (>2 h/day)2.1 (1.41–3.12), <0.001
PA afterschool (≤2 h/day)1.52 (1.08–2.13), 0.015
General PA (<4 score)1.50 (0.99–2.28), 0.05
Low Nutritional level (Krece ≤ 5)0.84 (0.59–1.19), 0.34
Psychological well-being
Body image dissatisfaction
Mild or moderate1.27 (0.85–1.89), 0.24
Severe2.2 (0.87–5.5), 0.09
Depression1.80 (1.1–2.92), 0.017
Data shown represent odds ratio (95% CI), adjusted by age and sex. CMR = cardiometabolic risk, WtHR = waist-to-height ratio, CRF = cardiorespiratory fitness, HGS = hand grip strength test. PA = physical activity. p-value less than 0.05 are considered statistically significant.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Delgado-Floody, P.; Soto-García, D.; Caamaño-Navarrete, F.; Carter-Thuillier, B.; Guzmán-Guzmán, I.P. Negative Physical Self-Concept Is Associated to Low Cardiorespiratory Fitness, Negative Lifestyle and Poor Mental Health in Chilean Schoolchildren. Nutrients 2022, 14, 2771. https://doi.org/10.3390/nu14132771

AMA Style

Delgado-Floody P, Soto-García D, Caamaño-Navarrete F, Carter-Thuillier B, Guzmán-Guzmán IP. Negative Physical Self-Concept Is Associated to Low Cardiorespiratory Fitness, Negative Lifestyle and Poor Mental Health in Chilean Schoolchildren. Nutrients. 2022; 14(13):2771. https://doi.org/10.3390/nu14132771

Chicago/Turabian Style

Delgado-Floody, Pedro, Diego Soto-García, Felipe Caamaño-Navarrete, Bastián Carter-Thuillier, and Iris Paola Guzmán-Guzmán. 2022. "Negative Physical Self-Concept Is Associated to Low Cardiorespiratory Fitness, Negative Lifestyle and Poor Mental Health in Chilean Schoolchildren" Nutrients 14, no. 13: 2771. https://doi.org/10.3390/nu14132771

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