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Article

The Role of Physical Education in Preventing Unhealthy Lifestyles in Immigrant Adolescents

by
Juan-Antonio Mondéjar-Jiménez
,
Guillermo Ceballos-Santamaría
,
Andrés Valencia-García
and
Francisco Sánchez-Cubo
*
Faculty of Social Sciences of Cuenca, University of Castilla-La Mancha, 16071 Cuenca, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(11), 6889; https://doi.org/10.3390/ijerph19116889
Submission received: 5 May 2022 / Revised: 30 May 2022 / Accepted: 2 June 2022 / Published: 4 June 2022
(This article belongs to the Special Issue Vulnerable Communities and Public Health)

Abstract

:
In recent years, migratory phenomena have changed the composition of Spanish society. There are many studies that explore the healthy habits of young adolescents, but few focus on young immigrants. The purpose of this study is to examine the causal relationships between certain factors that influence the health of immigrant youth and sports. The sample consisted of 173 students enrolled in secondary education in the city of Cuenca. The structural model confirms the relationship between the latent variables and sports. Specifically, we obtained a positive influence of an active lifestyle (regular physical activity and exercise) and a negative influence for the remaining variables (alcohol consumption, unhealthy foods, self-medication and tobacco consumption in the family). Physical education should promote healthy lifestyles; greater coordination between physical education and other subjects involved in education and the promotion of health are necessary because we consider that this task is not exclusive to physical education.

1. Introduction

During recent years, Europe has been experiencing a steady increase in immigrant flows from inside and outside EU countries, but despite their importance to the society, their migration flows remain an understudied phenomenon when it comes to immigration’s interrelations with other issues and its implications. These flows entail noticeable consequences that should be properly addressed to favour the integration of immigrants and in turn enrich the host societies. That is also the case for education, especially at earlier education levels in which addressing multiculturalism—now overcome by the idea of interculturality—is key to allowing young immigrants to fully develop themselves. According to Banks [1], interculturality tries to preserve and extend cultural diversity, attempting to promote the equality of economic, social and political possibilities by encouraging the acquisition of cultural competencies, which allows each person to use them in different cultural contexts. An intercultural school is a prior and necessary step for an intercultural society.
In this context, the cohabitation established between immigrant and native populations has been widely studied, thereby providing explicative models of the reality rather than ideal models of coexistence. Otherwise, the sociological studies taken during the 21st century in America that responded to the possible ways of adding minority groups to a previously settled majority society have aimed to explain the relationships between immigrants and the native populations [2].
All these and many more studies have widely contributed to the scientific literature, providing very interesting approaches and dimensions to study. Considering that fact, this work aims to address a particular gap which remains slightly understudied in the Spanish case: young immigrants and their relationship to physical activity within the Spanish educational system.
Moreover, this topic is of great interest given the increases in immigrant flows that have occurred during the last years and the ones that are expected in the following decades. Regarding the extant data, the national figures show a steady decrease of the Spanish population while there is a noticeable increase in the number of immigrants, which helps sustain the population levels of the country. Specifically, in July 2021, there were 47,326,687 people living in Spain, of whom 7,219,701 were foreigners. In other more illustrative words, since January 2016 to July 2021, the Spanish population grew 1.91% but in the same period, the Spanish-born citizenry decreased by 1.02% while the immigrant population rose by 21.99% [3]. This is also applicable to the city of Cuenca, where this study takes place. The latest available data at the municipal level are from 2008, provided by the Social Intervention Area of the City Council of Cuenca through the Intercultural Care and Mediation Service [4] and not publicly available. These data showed that 10.1% of the population of Cuenca is immigrant, of whom 9.7% are non-EU citizens or recently included, and 0.4% are from EU and developed countries. The most updated data are at the province and city levels, but these are provisional data that do not yet differentiate between Spanish and immigrants [5]. However, the data do illustrate the problem of depopulation: from 2016 to 2021, the province has lost 2.76% of its population and the city of Cuenca, 2.02%. Therefore, this case study is especially interesting because it is of an inland city which suffers from depopulation. An increase in the number of immigrants is of high interest, even more, young immigrants since they may contribute to slowing down depopulation among other benefits. In addition, this study is very representative and provides insightful data and results since the sample is almost a census sample (173 answers obtained out of 266 immigrant students in the city). Therefore, the results should be solid for enhancing informed decision-making and public policies.
Caring about young immigrants’ integration, acculturation, health and well-being should be on public agents’ agendas. These topics have been addressed in the literature for adults [6,7,8], children [9,10,11], adolescents [12,13] and households [14]. However, this work focuses only on studies on young immigrants, analysing the underlying dimensions of a healthy lifestyle—exercise, physical activity and nutrition, among others—and their effects on practising sports. This differentiation with respect to local students is made because the literature has already found that immigrants adopt unhealthier habits when they move to the destination country [15] and that these effects also impact their children, who end up having worse health and habits than their local counterparts [11,12,13,14,16,17,18]. In this sense, it is important to mention that although the majority of studies found differences between locals and immigrants at different stages, some have found few or no differences in physical [11], physiological or behavioural [19,20] activity.
In short, healthy lifestyles have been studied from multiple approaches: from explicative models of the socialisation process to expectancy-value theories; from theories on the self-regulation of behaviour to models based on the balance theory of decision-making. In addition, the negative effects of physical inactivity and the health benefits provided by systematised physical activity have been broadly documented. For this reason, the programmes of health promotion worldwide have usually been based on the integration of physical activity in daily life by encouraging all social groups through intervention strategies [21]. The positive relationship between physical activity and health is widely known [22,23,24,25], but the theoretical models or paradigms which study these relationships are continuously revised and transformed. There partially lies much of the importance of this work.
Furthermore, many research projects attempt to explain the main motivations for young people to practise sport. Some of them state that one of the main reasons for practising sports is the enjoyment of physical activity, and others include the pursuit of good physical condition [26] and exercise. Therefore, we consider physical activity a factor that positively influences sports practice, and so a positive relationship between practising physical exercise and sport is expected.
Negative effects on the likelihood of practising sports are analysed as well. Some studies suggest a negative influence of teenage alcohol [27,28] and tobacco [29] consumption on sports practice. We also expect to find a negative influence of the consumption of unhealthy foods on sports practice, following numerous studies that point to a direct relationship between physical exercise and balanced nutrition and how it is possible to influence other health variables such as nutrition acting on physical practice [14,30]. Finally, a few studies address the relationships between self-medicated drugs and physical activity. Their results generally show a negative influence [31], so we expect to find in our study the same relationship.
In essence, this work is included in the line of research on integrative models; that is to say, it analyses the variables which influence the healthy lifestyles of a sample of young immigrants for guiding future works on the adaptation of methods, programmes, workshops, seminars and/or activities aimed at influencing even healthier lifestyles. These activities should be aimed at adolescents but also at their parents since their environments may also affect these dimensions [7,11,32,33]. Therefore, the objective of this work is to establish causal relationships between sports practice and healthy lifestyles in adolescent immigrants. The hypotheses are as follows:
Hypothesis 1 (H1).
There is a relationship between sports practice and a healthy lifestyle in the assessed population.
Hypothesis 2 (H2).
The practice of physical activity positively influences sports practice.
Hypothesis 3 (H3).
The consumption of alcohol, tobacco, unhealthy foods and self-medicated drugs has a negative impact on sports practice.

2. Materials and Methods

The data collection tool used was an adaptation of the Inventory of Health Behaviours in School-Age Children [34], designed for assessing different variables of a healthy lifestyle. The European Regional Bureau of the World Health Organization adopted it within the framework of an international investigation of the health habits of young people [35], which has made it the most commonly used tool for this purpose in Europe but also worldwide [36]. Table 1 shows the indicators analysed and their explanations.
In Spain, the inventory has been adapted and used in multiple studies [37]. It stands out that the tool is consistent with the cultural differences of immigrants. That is because of the design of the survey itself—intended for transcultural studies—and because respondents complete the survey in small, supervised groups, which allow a person in charge to solve doubts.
The original purpose of this study was census-based data collection. Thus, surveys were sent to the 266 immigrant students of Cuenca enrolled in the secondary schools. Since one of the secondary schools did not deliver the surveys, the final sample was 173, which is the total number of immigrant students who attend classes in the rest of the secondary schools. Consequently, the sample is a convenience sample. Considering the total parameters, we obtain error rates lower than 5% (4.4%) for a confidence level of 95%. The census-based nature of this study is the main reason for these low error rates, so we consider that the study sample is representative.
The methodology used was the structural equation model (SEM), which is a multivariate statistical analysis method applied for contrast models that propose causal relationships between variables [38,39,40]. It is widely used in multiple works which have established explicative models of the influences of certain variables on health in adolescents: in terms of physical activity [29,41,42]; alcohol consumption [43,44,45]; tobacco consumption [46]; nutrition [42] and education [47,48] as well as medical use.
A similar situation occurs, from many diverse perspectives, in immigration. Within this field, we can find, among others, studies that refer to intercultural relations between immigrants and natives and gender differences between immigrants [49].
The model we propose establishes causal relationships between some of the variables which determine the healthy behaviour of adolescents. It considers seven adolescents’ health conditioning factors as latent variables, and the survey answers are the indicators. The estimations were performed using SmartPLS 2.0.M3 software [50].

3. Results

The results obtained for the model represent a measure of the validity of the survey used for capturing the seven latent dimensions through indicators which were verified. The usual measure of goodness of fit, proposed by Tenenhaus et al. [51], is the geometric mean of the average communality (external model) and the average R2 (internal model), with a value of 0.512. Concerning the reliability of the measuring tool (Table 2), the value of Cronbach’s alpha for all the latent variables is higher than or very close to 0.7 [52]. The composite reliability scores are also higher than 0.8 in all cases. Concerning the convergent validity (AVE), the values of the seven dimensions are higher than or very close to 0.5, as recommended by Fornell and Larcker [53]. Likewise, cross-loadings are always higher for the latent variables in which the respective elements are loaded (Table 3).
With the data obtained, we propose the first model (Figure 1), which refers to the causal relationships of six variables that influence the sports practice of immigrant adolescents.
The discriminant validity criterion [53] is also applied for the seven latent variables. The respective AVE is higher than the square of the estimated correlation between them (Table 2).
AVEi > p2ij
Regarding the structural model, as shown in Figure 1 and Table 4, the R2 coefficients associated with the regressions of the latent variables are statistically significant, with values higher than 0.1 obtained in all cases [54]. An analysis of the direct effects represented in Table 3 highlights the dependency between the latent variables and confirms the initial assumptions of the model. As all values are different from 0, the relationship of dependence between sports practice and the rest of the latent variables is demonstrated. Further analyses will be made in the discussion section.
Summing up all the above, the results revolve around the proposal, assessment and validation of a PLS-SEM model. The model (Figure 1) has six constructs which represent the dimensions that are likely to affect sports. These constructs are made up of specific indicators (Table 1), all of them representative of each latent variable since their AVE, composite reliability and Cronbach’s alpha values (Table 2) are above the required thresholds in almost all cases. Once the constructs are assessed, their paths to the dependent construct (sports) are analysed in Table 4. Since these are all different from 0, the relationships can be established. In this sense, the signs and sizes of these effects are of high relevance. Only physical activity (0.2054) and exercise (0.2386) have positive impacts on sports, while the rest negatively affect it. All these constructs and their relationships help in explaining sports through R2, which is above the threshold (0.184). Lastly, Table 3 deepens the correlations between the constructs, showing their types and sizes. The interpretation of this matrix is suggested to be performed following Cohen’s [55] criterion, which states the thresholds as small, <0.3; medium, <0.5; and large, >0.5. Considering this criterion, the correlation matrix contains 18 small, 2 medium and one large correlation. The practical consequences are discussed in the following section.

4. Discussion

It seems crucial to understand students to plan pedagogic programs suitable for their needs from any perspective. In this context, physical education courses should promote healthy lifestyles, not only focused on the body but on other variables of lifestyle which influence sports practice. The law that establishes the secondary education curriculum in Castilla-La Mancha includes aspects addressing health and physical condition, such as the importance of breakfast and a balanced diet, the negative effects of certain foods and substances and the positive effects of physical activity on the human body. In practice, however, these points have a low teaching load compared with other practical aspects like sports.
In the results section, the positive influence of some variables in sports practice is shown. The most notorious are those more related to the dependent variable construct because of their conceptual proximity to both variables. Thus, the direct relationships between physical exercise (0.239) [11,12,13,14,16] and physical activity (0.205) [22,23,24,25] with sports stand out, the former being the most relevant of all the variables. This can be explained by the relationship between both manifestations of human motor activity, which results in a positive tendency among those who practise any ordered and systematised physical activity, entailing a step forward in the regulation and institutionalisation of human motor activity. Additionally, the influence of physical activity on sports practice (0.205) is noticeable, which means that active habits in daily life are extended in the systematised, regulated and institutionalised practice that characterises sports. Considering some descriptive figures from the questionnaire, Spain stands out as a sedentary country. Only 36.3% of the immigrant population analysed perform physical activity twice or three times a week with moderate activity (70%) for more than 45 min (41.8%). Sports experiences a slight increase to 38.6%, but 30.7% never practise sports or do not regularly. Consequently, we predict that if physical education classes encourage an active daily life that may favour adopting the practice of physical exercise or participation in physical activities, teachers would positively influence students to join sports activities.
Conversely, the inverse relationships between the consumption of certain substances such as alcohol (−0.0301) [27,28], unhealthy food (−0.101) [14,30] and self-medicated drugs (−0.151) [31] and familial tobacco consumption (−0.162) [29] and sports lead us to consider the need for greater coordination between physical education and other subjects involved in the promotion of health because we consider that this task is not exclusive to physical education. In this sense, tutorial action in education centres is needed, and it is formalised through the tutorial action plan, understood as a framework paper that gathers the organisation and functioning of the conducted mentoring. In the case of secondary education, it is prepared by the guidance department. It would be of interest to use the obtained results for programming workshops about acquiring good nutritional habits and avoiding alcohol and tobacco consumption, not only because of their negative impacts on sports practice but also their negative impacts on health.
Among these, the higher intensity found in tobacco consumption stands out. Although it cannot be confirmed with certainty, due to the effects that tobacco produces on passive smokers, remarkably, it is the only drug that acts not only on the consumer but also on others. This situation motivates promoting sports practice through intervention in the family environment and not only with a given person. The effects of these four negative constructs go as follows.
First, familial tobacco consumption has a negative effect on sports practice (−0.162) [29], which emphasises the effect on the individual’s own behaviour, in this case the sports practice. However, it is also striking that 7.6% of the students smoke daily and 5.3% weekly, although not all days. Moreover, the preferred substance for smoking is tobacco, but others such as hashish and joints are usually smoked by 7.6% of the students. Second, the relationship between self-medication and sports activities is reverse (−0.151) [31]. The unwise variable self-medication, negative itself, also acts as a negative influence on acquiring healthy behaviours such as sports practice. In this sense, it is worrying that between 27.4% and 37.6% self-medicate against colds, headaches or coughs. Despite representing a low percentage, some adolescents need tranquillisers (8.3%) or sleeping pills (4.8%). Then, the consumption of unhealthy foods has a negative impact on sports practice (−0.101) [14,30]. That could be interpreted in two ways because those who practise sports also have a healthier diet; hence health effects grow. Lastly, alcohol consumption has a negative effect on sports practice (−0.031) [27,28]. The effects of alcohol, and also probably the contexts in which young people drink alcohol (with friends, in their free time), have a negative influence on sports practice. Indeed, 38.6% claim to have been drunk at least once, and 5.6% more than ten times. The favourite type of alcohol for young people is beer, followed by cocktails, wine and cava.

5. Conclusions

Considering all the above, this study showed that some lifestyle habits related to the culture such as diet and alcohol, tobacco and drug consumption create an intercultural relationship context that has already been proven to affect immigrant individuals [8,11,32]. Furthermore, as we noticed in earlier studies, there are no significant differences, so it is possible to use this field for promoting equality through education. Regarding the nutrition issue, low energy consumption combined with inadequate nutrition potentially results in young overweight and obese populations. When analysing nutrition, we obtained some interesting and contradictory data: 44.7% of the respondents believe they have a healthy diet, while 25% admit to drinking carbonated beverages daily, and 17.8% eat sweets daily. These figures may seem low but are combined with the low consumption of vegetables (25.3%) and fruits (55.1%), an excess of dairy products (57.4%) to the detriment of other sources of protein such as fish or meat, and the abuse of carbohydrates (68.9%). Thus, nutritional deficiencies in young people arise, and performing awareness and prevention campaigns seem necessary.
Therefore, physical education teachers—but also educational institutions with public administration’s support—should raise awareness of the importance of a healthy diet, with lower consumption of saturated fats, hamburgers, cold meats, chips, et cetera. We should also continue with the campaigns carried out in the base education on healthy breakfasts (only 46.9% of girls have breakfast) or the importance of having five meals a day (only 30% of boys and 5.9% of girls have them).
All in all, this paper provides further data and analyses in the field of health habits and sports in young immigrants. Many relationships are shown, and suggestions are proposed along with them. However, this study presents limitations as it is focused on an inland Spanish medium-sized city. Nevertheless, it contains useful results to be applied by teachers, schools and institutions to favour a better integration of young immigrants, providing them with the resources to tackle unhealthy habits in this minority group. In this sense, the future lines of research revolve around the actualisation of the information contained in this work, considering new contextual dimensions such as nationality, size of the city and changes in legislation. Changes in immigration flows might also affect young people’s lifestyle habits, so the authors should check whether changes occur in the following years.

Author Contributions

Conceptualization, A.V.-G. and G.C.-S.; methodology, F.S.-C. and J.-A.M.-J.; software, J.-A.M.-J.; validation, J.-A.M.-J. and F.S.-C.; formal analysis, A.V.-G.; investigation, A.V.-G., F.S.-C. and G.C.-S.; resources, J.-A.M.-J.; data curation, A.V.-G.; writing—original draft preparation, A.V.-G. and G.C.-S.; writing—review and editing, F.S.-C. and J.-A.M.-J.; visualization, A.V.-G.; supervision, J.-A.M.-J.; project administration, G.C.-S. and J.-A.M.-J.; funding acquisition, J.-A.M.-J. 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 in accordance with the Declaration of Helsinki.

Informed Consent Statement

All study participants, or their legal guardian, provided informed written consent prior to study enrolment.

Data Availability Statement

The data are not publicly available due to the nature of the study.

Acknowledgments

Sánchez-Cubo, F. benefits from a predoctoral contract for training researcher staff within the frame of the Formación de Profesorado Universitario (FPU), Fellowship Programme of the Ministry of Universities of Spain.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Banks, J.A. Multicultural education: Historical development, dimensions and practice. Rev. Res. Educ. 1993, 19, 3–49. [Google Scholar]
  2. Gordon, M. Assimilation in American Life; Oxford University Press: Oxford, UK, 1964. [Google Scholar]
  3. Instituto Nacional de Estadística. Cifras de Población. Datos definitivos 01/01/2021 y Provisionales 01/07/2021. Available online: https://www.ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736176951&menu=ultiDatos&idp=1254735572981 (accessed on 24 May 2022).
  4. Intercultural Care and Mediation Service; Limited Use Public Data, City Council of Cuenca: Cuenca, Spain, 2008.
  5. Instituto Nacional de Estadística. Estadística del Padrón Continuo. Datos Provisionales a 1 de Enero de 2022. Available online: https://www.ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736177012&menu=ultiDatos&idp=1254734710990 (accessed on 24 May 2022).
  6. Rodriguez-Alvarez, E.; Lanborena, N.; Borrell, L.N. Obesity Inequalities According to Place of Birth: The Role of Education. Int. J. Environ. Res. Public Health 2018, 15, 1620. [Google Scholar] [CrossRef] [Green Version]
  7. Salinero-Fort, M.A.; Gomez-Campelo, P.; Bragado-Alvarez, C.; Carlos Abanades-Herranz, J.; Jimenez-Garcia, R.; de Burgos-Lunar, C. Health-Related Quality of Life of Latin-American Immigrants and Spanish-Born Attended in Spanish Primary Health Care: Socio-Demographic and Psychosocial Factors. PLoS ONE 2015, 10, e0122318. [Google Scholar] [CrossRef]
  8. Hernando, A.; Nunes, C.; Torres, C.C.; Lemos, I.; Valadas, S. A comparative study on the health and well-being of adolescent immigrants in Spain and Portugal. Saude Soc. 2013, 22, 342–350. [Google Scholar] [CrossRef] [Green Version]
  9. Real-Perez, M.; Gavala-Gonzalez, J.; Artacho-Silva, M.; Fernandez-Garcia, J.C. Cognition, Intelligence and Movement: Extracurricular Physical Activity as a Promoter of Intelligence in Schoolchildren. Sustainability 2022, 14, 4061. [Google Scholar] [CrossRef]
  10. Matta, P.N.; Baul, T.D.; Loubeau, K.; Sikov, J.; Plasencia, N.; Sun, Y.; Spencer, A.E. Low sports participation is associated with withdrawn and depressed symptoms in urban, school-age children. J. Affect. Disord. 2021, 280, 24–29. [Google Scholar] [CrossRef]
  11. Jimenez, R.; Dalmau, J.M.; Gargallo, E.; Arriscado, D. Lifestyle differences between Spanish national and migrant students. Espiral 2019, 12, 40–48. [Google Scholar] [CrossRef] [Green Version]
  12. Failde, I.; Zafra, J.A.; Chevallier, J. Health-related quality of life and lifestyle habits: Differences between migrant and native adolescents. Rev. Esp. Salud Publica 2020, 94, e202004023. [Google Scholar]
  13. Galan, I.; Boix, R.; Medrano, M.J.; Ramos, P.; Rivera, F.; Moreno, C. Individual Factors and School-Based Policies Related to Adherence to Physical Activity Recommendations in Spanish Adolescents. Prev. Sci. 2014, 15, 588–599. [Google Scholar] [CrossRef]
  14. Moncho, J.; Martinez-Garcia, A.; Trescastro-Lopez, E.-M. Prevalence of Overweight and Obesity in Children of Immigrant Origin in Spain: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2022, 19, 1711. [Google Scholar] [CrossRef]
  15. Lindsay, A.C.; Greaney, M.L.; Wallington, S.F.; Wright, J.A.; Hunt, A.T. Depressive Symptoms and Length of US Residency Are Associated with Obesity among Low-Income Latina Mothers: A Cross-Sectional Analysis. Int. J. Environ. Res. Public Health 2017, 14, 869. [Google Scholar] [CrossRef] [Green Version]
  16. Lacoste, Y.; Dancause, K.N.; Gosselin-Gagne, J.; Gadais, T. Physical Activity among Immigrant Children: A Systematic Review. J. Phys. Act. Health 2020, 17, 1047–1058. [Google Scholar] [CrossRef]
  17. Arandia, G.; Sotres-Alvarez, D.; Siega-Riz, A.M.; Arredondo, E.M.; Carnethon, M.R.; Delamater, A.M.; Gallo, L.C.; Isasi, C.R.; Marchante, A.N.; Pritchard, D.; et al. Associations between acculturation, ethnic identity, and diet quality among US Hispanic/Latino Youth: Findings from the HCHS/SOL Youth Study. Appetite 2018, 129, 25–36. [Google Scholar] [CrossRef]
  18. Ministerio de Cultura y Deporte. Encuesta de Hábitos Deportivos en España 2020; Estadística: 2020; NIPO: 822-21-041-1. Available online: https://www.culturaydeporte.gob.es/dam/jcr:07b62374-bfe9-4a65-9e7e-03a09c8778c3/encuesta-de-habitos-deportivos-2020.pdf (accessed on 25 May 2022).
  19. Beltrán-Velasco, A.I.; Mendoza-Castejón, D.; Fuentes-García, J.P.; Clemente-Suarez, V.J. Behavioural, psychological, and physiological stress markers and academic performance in immigrant and non-immigrant preschool and school students. Physiol. Behav. 2020, 225, 113081. [Google Scholar] [CrossRef]
  20. Nunes, C.; Hernando, A.; Lemos, I.; Ayala-Nunes, L.; Romero-Oliva, C.; Montilla-Coronado, C. Quality of life of Portuguese and Spanish adolescents. A comparative study between natives and immigrants. Cienc. Saude Coletiva 2016, 21, 1137–1144. [Google Scholar] [CrossRef] [Green Version]
  21. Prieto, A. Modelo de promoción de la salud con énfasis en actividad física, para una comunidad estudiantil universitaria. Rev. Salud Pública 2003, 3, 284–300. [Google Scholar] [CrossRef] [Green Version]
  22. Fentem, P.H.; Bassey, E.; Turnbull, N.B. The New Case for Exercise; Sports: London, UK, 1988. [Google Scholar]
  23. Vargas-Vargas, M.; Mondejar-Jimenez, J.; Santamaria, M.L.; Alfaro-Navarro, J.L.; Fernandez-Aviles, G. Cooperative Learning in Virtual Environments: The Jigsaw Method in Statistical Courses. J. Int. Edu. Res. 2011, 7, 1–8. [Google Scholar] [CrossRef]
  24. La Cascia, C.; Maniaci, G.; Palummo, A.; Saia, G.F.; Pinetti, G.; Zarbo, M.; Ferraro, L.; La Barbera, D. Healthy lifestyles and academic success in a sample of Italian university students. Curr. Psychol. 2019, 40, 5115–5123. [Google Scholar] [CrossRef]
  25. Carpena Lucas, P.J.; Sánchez-Cubo, F.; Vargas Vargas, M.; Mondéjar Jiménez, J. Influence of Lifestyle Habits in the Development of Obesity during Adolescence. Int. J. Environ. Res. Public Health 2022, 19, 4124. [Google Scholar] [CrossRef]
  26. Alvariñas, M.; Villarino, M.A.; López, C. Actividad física y percepciones sobre deporte y género. Rev. Inv. Edu. 2009, 6, 113–122. [Google Scholar]
  27. Pate, R.R.; Trost, S.G.; Levin, S.; Dowda, M. Sports participation and health-related behaviors among US youth. Arch. Pediatr. Adolesc. Med. 2000, 154, 904–911. [Google Scholar] [CrossRef]
  28. Sasco, A.J.; Merrill, R.M.; Benhaïm, V.; Gerard, J.P.; Freyer, G. Trends in tobacco smoking among adolescents in Lyon, France. Eur. J. Cancer 2003, 39, 496–504. [Google Scholar] [CrossRef]
  29. Wood, M.D.; Read, J.P.; Mitchell, R.E.; Brand, N.H. Do parents still matter? Parent and peer influences on alcohol involvement among recent high school graduates. Addict. Behav. 2004, 18, 19–30. [Google Scholar] [CrossRef] [Green Version]
  30. Castillo, I.; Balaguer, I. Dimensiones de los motivos de práctica deportiva de los adolescentes valencianos escolarizados. Apuntes Fis. Dep. 2001, 63, 22–29. [Google Scholar]
  31. Ries, F.; Sevillano, J.F. Relación de las emociones y la actividad física dentro de la teoría de la conducta planificada. Rev. Int. Ciencias Dep. 2011, 24, 158–173. [Google Scholar] [CrossRef] [Green Version]
  32. Kim, Y.; Ritchie, L.; Landgraf, A.; Hasson, R.E.; Colabianchi, N. The Role of the Neighborhood Social Environment in Physical Activity among Hispanic Children: Moderation by Cultural Factors and Mediation by Neighborhood Norms. Int. J. Environ. Res. Public Health 2020, 17, 9527. [Google Scholar] [CrossRef]
  33. Martinez-Gomez, D.; Veiga, O.L.; Zapatera, B.; Gomez-Martinez, S.; Martinez, D.; Marcos, A. Physical Activity During High School Recess in Spanish Adolescents: The AFINOS Study. J. Phys. Act. Health 2014, 11, 1194–1201. [Google Scholar] [CrossRef]
  34. Wold, B. Health-Behavior in Schoolchildren: A WHO Cross-National Survey. Resource Package Questions 1993–94; University of Bergen: Bergen, Norway, 1995. [Google Scholar]
  35. Currie, C. The international HBSC study: Rationale, history and description. In Health and Health Behavior among Young People; Currie, C., Hurrelmann, K., Settertobulte, W., Smith, R., Todd, J., Eds.; WHO: Copenhagen, Denmark, 2000. [Google Scholar]
  36. Moreno, Y. Un Estudio de la Influencia del Autoconcepto Multidimensional Sobre el Estilo de Vida Saludable en la Adolescencia Temprana. Ph.D. Thesis, University of Valencia, Valencia, Spain, 2004. [Google Scholar]
  37. Molinero, O.; Castro, J.; Ruiz, J.R.; González, J.L.; Mora, J.; Márquez, S. Conductas de salud en escolares de la provincia de Cádiz. Nutri. Hosp. 2010, 25, 280–289. [Google Scholar]
  38. Secondi, L.; Meseguer-Santamaría, M.L.; Mondéjar-Jiménez, J.; Vargas-Vargas, M. Influence of tourist sector structure on motivations of heritage tourists. Serv. Ind. J. 2011, 31, 1659–1668. [Google Scholar] [CrossRef]
  39. Mondéjar-Jiménez, J.; Sevilla-Sevilla, C.; García-Pozo, A. Environmental, social and economic dimension in the hotel industry and its relationship with consumer perception. Environ. Eng. Manag. J. 2016, 15, 1519–1526. [Google Scholar] [CrossRef]
  40. García-Pozo, A.; Mondéjar-Jiménez, J.; Sánchez-Ollero, J.L. Internet’s User Perception of Corporate Social Responsibility in Hotel Services. Sustainability 2019, 11, 2916. [Google Scholar] [CrossRef] [Green Version]
  41. Cervelló, E.; Iglesias, D.; Moreno, P.; Jiménez, R.; Del Villar, F. Aplicación de modelos de ecuaciones estructurales al estudio de la motivación de los alumnos en las clases de Educación Física. Rev. Ed. 2004, 335, 371–382. [Google Scholar]
  42. Jiménez, R.; Cervelló, E.; García, T.; Santos, F.J.; Iglesias, D. Estudio de las relaciones entre motivación, práctica deportiva extraescolar y hábitos alimenticios y de descanso en estudiantes de Educación Física. Int. J. Clin. Health Psychol. 2007, 7, 385–401. [Google Scholar]
  43. Castillo, I.; Balaguer, I.; García-Merita, M. Efecto de la práctica y la actividad física y de la participación deportiva sobre el estilo de vida saludable en la adolescencia en función del género. Rev. Psic. Dep. 2007, 6, 201–210. [Google Scholar]
  44. Díaz, B.; García, R. Factores psicosociales de riesgo de consumo de drogas ilícitas en una muestra de estudiantes mexicanos de educación media. Rev. Panamer. Salud Pub. 2008, 24, 223–232. [Google Scholar]
  45. Villarreal, M.E.; Musitu, G.; Sánchez, J.C.; Varela, R. El consumo de alcohol en adolescentes escolarizados: Propuesta de un modelo sociocomunitario. Interv. Psicosoc. 2010, 19, 253–264. [Google Scholar] [CrossRef]
  46. Topa, G.; Moriano, J.A.; Morales, F.J. Abandonar el tabaco: Meta-análisis y modelo de ecuaciones estructurales desde la teoría de la conducta planificada. Clin. Salud 2012, 23, 43–61. [Google Scholar] [CrossRef]
  47. Mondéjar-Jiménez, J.; Vargas-Vargas, M.; Mondéjar-Jiménez, J.A. Impacto del uso del e-learning en las actitudes hacia la estadística. Rev. Latinoam. Tecn. Edu. 2007, 6, 41–48. [Google Scholar]
  48. Mondéjar, J.; Vargas, M. Determinant factors of attitude towards quantitative subjects: Differences between sexes. Teach. Teach. Edu. 2010, 26, 688–693. [Google Scholar] [CrossRef]
  49. Giorguli, S.E.; Itzigsohn, J. Diferencias de género en la experiencia migratoria. Transnacionalismo e incorporación de los inmigrantes latinos en Estados Unidos. Papeles Pobl. 2006, 47, 9–37. [Google Scholar]
  50. Ringle, C.M.; Wende, S.; Will, A. SmartPLS 2.0 (Beta). 2005. Available online: http://www.smartpls.de (accessed on 23 June 2020).
  51. Tenenhaus, M.; Vinzi, V.E.; Chatelin, Y.M.; Lauro, C. PLS path modeling. Comput. Stat. Data Anal. 2005, 48, 159–205. [Google Scholar] [CrossRef]
  52. Nunnally, J.; Bernstein, I. Psychometric Theory, 3rd ed.; McGraw Hill: New York, NY, USA, 1994. [Google Scholar]
  53. Fornell, C.; Larcker, D. Evaluating structural equations models with unobservable variables and measurement error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
  54. Falk, R.; Miller, N. A Primer for Soft Modeling; University of Akron Press: Akron, OG, USA, 1992. [Google Scholar]
  55. Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Erlbaum: Hillsdale, NJ, USA, 1988. [Google Scholar]
Figure 1. The influence model of healthy habits and sports practice.
Figure 1. The influence model of healthy habits and sports practice.
Ijerph 19 06889 g001
Table 1. The constructs and indicators used in this study.
Table 1. The constructs and indicators used in this study.
ConstructItemMeasure (Likert Scale)Description
Sports15A1 to 6Frequency
15B1 to 4Intensity
15C1 to 6Duration
Physical Activity16A1 to 6Frequency
16B1 to 4Intensity
16C1 to 6Duration
Exercise171 to 7Weekly frequency in days
181 to 6Weekly frequency in hours
221 to 3Exercise alone
Tobacco in families34A1 to 4Intensity of consumption (father)
34B1 to 4Intensity of consumption (mother)
34C1 to 4Intensity of consumption (elder brother)
34D1 to 4Intensity of consumption (elder sister)
34E1 to 4Intensity of consumption (best friend)
Alcohol35A1 to 2Drinks beer (1 yes, 2 no)
35B1 to 2Drinks wine (1 yes, 2 no)
35C1 to 2Drinks cocktail or liqueur (1 yes, 2 no)
35D1 to 2Drinks cava (1 yes, 2 no)
36A1 to 5Intensity of beer consumption
36B1 to 5Intensity of wine consumption
36C1 to 5Intensity of cocktail or liqueur consumption
36D1 to 5Intensity of cava consumption
Food44C1 to 4Frequency of drinking sodas
44D1 to 4Frequency of eating sweets
44H1 to 4Frequency of eating chips
44I1 to 4Frequency of eating burgers or sausages
44L1 to 4Frequency of eating cold cuts
44N1 to 4Frequency of eating butter
Self-medication59A1 to 3Frequency of self-medication for cough
59B1 to 3Frequency of self-medication for cold
59C1 to 3Frequency of self-medication for headache
59D1 to 3Frequency of self-medication for stomachache
59E1 to 3Frequency of self-medication for difficulty sleeping
59F1 to 3Frequency of self-medication for nervousness
59G1 to 3Frequency of self-medication for tiredness
59H1 to 3Frequency of self-medication for constipation (laxatives)
59I1 to 3Frequency of self-medication for lose weight
Source: Authors.
Table 2. The reliability of the measuring tool.
Table 2. The reliability of the measuring tool.
AVEComposite
Reliability
R SquareCronbach’s
Alpha
CommunalityRedundancy
PA (Physical Activity)0.71060.88 0.79360.7106
Alcohol0.46430.8715 0.86140.4643
Food0.340.753 0.62180.34
Self-medication0.79020.9712 0.96640.7902
Sports0.64920.84530.18360.77430.64920.0374
Exercise0.53280.1553 −0.78690.5328
Tobacco in families0.48110.8225 0.73240.4811
Source: Authors.
Table 3. The correlation matrix between the latent variables.
Table 3. The correlation matrix between the latent variables.
PA
(Physical Activity)
AlcoholFoodSelf-MedicationSportExerciseTobacco in
Families
PA (Physical Activity)1.0000
Alcohol−0.00761.0000
Food0.11150.09581.0000
Self-medication0.0788−0.01770.06041.0000
Sports0.2133−0.1159−0.1375−0.15381.0000
Exercise0.2112−0.0704−0.0781−0.08060.30541.0000
Tobacco in families0.12140.36640.1795−0.036−0.1626−0.00751.0000
Source: Authors.
Table 4. The effects of the latent variables on sports.
Table 4. The effects of the latent variables on sports.
Sport
PA (Physical Activity)0.2054
Alcohol−0.0314
Food−0.1006
Self-medication−0.151
Sports
Exercise0.2386
Tobacco in families−0.1616
Source: Authors.
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MDPI and ACS Style

Mondéjar-Jiménez, J.-A.; Ceballos-Santamaría, G.; Valencia-García, A.; Sánchez-Cubo, F. The Role of Physical Education in Preventing Unhealthy Lifestyles in Immigrant Adolescents. Int. J. Environ. Res. Public Health 2022, 19, 6889. https://doi.org/10.3390/ijerph19116889

AMA Style

Mondéjar-Jiménez J-A, Ceballos-Santamaría G, Valencia-García A, Sánchez-Cubo F. The Role of Physical Education in Preventing Unhealthy Lifestyles in Immigrant Adolescents. International Journal of Environmental Research and Public Health. 2022; 19(11):6889. https://doi.org/10.3390/ijerph19116889

Chicago/Turabian Style

Mondéjar-Jiménez, Juan-Antonio, Guillermo Ceballos-Santamaría, Andrés Valencia-García, and Francisco Sánchez-Cubo. 2022. "The Role of Physical Education in Preventing Unhealthy Lifestyles in Immigrant Adolescents" International Journal of Environmental Research and Public Health 19, no. 11: 6889. https://doi.org/10.3390/ijerph19116889

APA Style

Mondéjar-Jiménez, J. -A., Ceballos-Santamaría, G., Valencia-García, A., & Sánchez-Cubo, F. (2022). The Role of Physical Education in Preventing Unhealthy Lifestyles in Immigrant Adolescents. International Journal of Environmental Research and Public Health, 19(11), 6889. https://doi.org/10.3390/ijerph19116889

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