Skip to main content
Behavioral Sciences logoLink to Behavioral Sciences
. 2019 Apr 11;9(4):37. doi: 10.3390/bs9040037

Association between Motivational Climate, Adherence to Mediterranean Diet, and Levels of Physical Activity in Physical Education Students

Gabriel González-Valero 1, José Luis Ubago-Jiménez 1, Irwin A Ramírez-Granizo 1, Pilar Puertas-Molero 1,*
PMCID: PMC6523412  PMID: 30979088

Abstract

Physical Education is an essential educational area to develop physical-healthy habits and motivational orientations, which are fundamental to guide the situation of future Physical Education teachers. These professionals will have a fundamental role in teaching different types of motivations, active lifestyles, and healthy habits in youths. For this reason, the objective of the study is to know the association between motivational climate, adherence to the Mediterranean Diet (MD), and the practice of physical activity in future Physical Education teachers. A cross-sectional and nonexperimental study was carried out using a single measurement within a single group. The sample consisted of 775 university students from the cities of Andalusia (Spain). Motivational climate was evaluated through the Perceived Motivational Climate in Sport Questionnaire (PMCSQ-2), levels of physical activity were evaluated through the adolescent version of the Physical Activity Questionnaire (PAQ-A), and level of adherence to the MD was assessed through Mediterranean Diet Quality Index (KIDMED). On one hand, the healthy and self-improvement component promoted by physical activity favors an orientation focused on process and learning. Likewise, the competitive component is key to motivation focused on product and social recognition. In addition, future Physical Education teachers should pay special attention to the unequal recognition among members that physical activity can generate, in order to avoid personal disregard and social rejection. The ego climate is related to a high adherence to the MD. On the other hand, the future Physical Education teachers who manifest motivational processes based on fun and their own satisfaction have low levels of adherence to the MD.

Keywords: motivational climate, Mediterranean Diet, physical activity, students, Physical Education

1. Introduction

Numerous studies have found a positive relationship between the performance of physical sporting activities and psychosocial, physical, and health benefits. These benefits improved the quality of life, emotional well-being, and motivation towards this practice in young adolescents. This life stage represents a period in which behavior patterns are consolidated and easily influenced [1]. For this reason, it is vitally important to work on motivation in order to establish healthy habits to the detriment of disruptive behaviors that will be the basis of adult behavior [2,3,4].

Ongoing research highlights that the development of motivational aspects within the classroom determines a greater persistence of physical sports practice and the acquisition of healthy habits inside and outside the classroom [5,6]. The motivational theories that have facilitated the understanding of motivation in the physical sports and educational context in recent decades have been the theory of achievement goals [7,8] and the theory of self-determination [9,10]. The theory of achievement goals postulates that a student’s involvement towards a task or ego orientation originates from the confrontation between the motivational orientation of young people and the motivational climate they perceive [8]. This is why the teacher is a fundamental element generating one type of climate or another [11,12].

This theory of task orientation or mastery is characterized by the use of self-references, as it does not care about the achievements of others, but their own progress. In fact, they are considered to be competent and successful if, every day, one improves in relation to oneself [13,14]. It is also associated with intrinsic motivations achieved through fun and satisfaction, cooperation, commitment, participation, and continuity in practice [15,16]. However, ego or performance orientation is associated with the use of references to evaluate success and competition in comparison to other persons [17,18]. At the same time, this type of goal is associated with extrinsic motivations achieved thanks to the recognition and social status and the physical sports and educational failure of others [19,20]. Most of the recent research has studied the motivational climate of sport and has focused its objectives on sports performance and the predisposition to follow a healthy and active lifestyle [21,22].

Maintaining a healthy lifestyle during development improves physical, psychological, and social fitness. For this reason, motives related to health and well-being, such as a healthy diet and sports practice, are maintained throughout life as motivational factors in the sporting and educational context [23,24]. Eating habits are essential to achieve physical and intellectual development, as well as to prevent cardiovascular health problems resulting from the impoverishment of the diet [25]. In fact, Cervera, Serrano, Vico, Milla, and García (2013) [26] highlight that the diet followed by the university population is based on malnutrition, suppression of essential foods, and the intake of refined sugars and foods high in fat [27]. It is at this point that adherence to the Mediterranean Diet (MD) comes into play, as multiple studies show that MD is related to health benefits, such as increased life expectancy, adherence to physical activity, and decreased cardiovascular and psychological diseases [28,29]. MD is characterized by the consumption of foods originating in Mediterranean lands, highlighting olive oil, fruits, vegetables, cereals, and beans, in addition to balanced egg, dairy products, and fish consumption [30].

Physical Education plays an essential role in the development of healthy physical habits, emphasizing that the motivation provided will be essential to guide the current and future situation of Physical Education teachers. These professionals will be decisive in the configuration of motivational climates, active lifestyles, and the acquisition of healthy habits by young people at an early age. For this reason, the objective of the study is to know the association between motivational climate, adherence to the MD, and the practice of physical activity in future Physical Education teachers.

2. Materials and Methods

2.1. Subjects and Design

A cross-sectional and nonexperimental study was carried out using a single measurement within a single group. The sample consisted of 775 university students from the eight Andalusian cities (Spain), with a gender representation of 43.1% (n = 320) female and 58.7% (n = 455) male. The age range of the participants was between 20 and 29 years old (22.22 ± 3.76). Selection criteria of the sample required all participants to be studying the Degree in Primary Education with a specialist in Physical Education in Andalusia. According to the data provided by the administrations of the different universities, the students enrolled in courses including a Physical Education specialist in Andalusia, totaled 1167 for the 2016/2017 academic year.

2.2. Measures

Motivational climate was evaluated through the Perceived Motivational Climate in Sport Questionnaire (PMCSQ-2), adapted to Spanish by González-Cutre, Sicilia, and Moreno (2008) [31] and originally developed by Newton, Duda, and Yin (2000) [32]. This questionnaire is comprised of two dimensions which pertain to the subscales Task-Climate (TC) [Cooperative Learning (CL), Effort/Improvement (EI) and Important Role (IR)] and Ego-climate (EC) [Punishment for Mistakes (PM), Unequal Recognition (UR), and Rivalry between Membership (RM)]. This scale is composed of 33 items rated on a five-point scale (1 = Strongly disagree; 5 = Strongly agree). Examination of internal consistency produced an acceptable value for Cronbach’s alpha (α = 0.82).

Levels of physical activity were evaluated through the adolescent version of the Physical Activity Questionnaire (PAQ-A) [33] translated to Spanish by Martínez-Gómez et al. (2009) [34]. This instrument produced an overall score by summing the ten items, of which each is scored on a five-point Likert scale where 0 is “Never” and 4 is “Always”. This measure is used to evaluate the level of engagement in physical activity during the week prior to measure completion. An acceptable Cronbach alpha was obtained in the present study (α = 0.80).

Level of adherence to the MD was assessed through Mediterranean Diet Quality Index (KIDMED) [35]. This scale is composed of 16 dichotomous items which can be answered as yes or no. There are 12 positively-framed and four negatively-framed items. In the case of these items, a score is obtained which ranges from −4 to 12. For this scale, acceptable internal consistency was identified highlighted, with a Cronbach alpha of α = 0.83.

2.3. Procedure

Firstly, collaboration of the universities and participants was requested through information packs developed by the department of Didactics of Musical, Plastic and Bodily Expression of the University of Granada. Packs were administered to university students enrolled on a Primary Education teaching course with a specialty in Physical Education, in one the eight Andalusian cities. Packs were administered through the different departments of the universities and provided information about the nature and objectives of this study. In addition, informed consent was requested to participate in the study. Secondly, students were informed about the data collection process. The tests and scales were applied during university teaching hours without any incentives being offered. In addition, researchers were present to help participants with possible difficulties and to ensure anonymity of the data. Further, the Ethics Committee of the University of Granada approved the study (462/CEIH/2017) and ethical principles established by the Declaration of Helsinki for research were followed.

2.4. Statistical Analysis

Descriptive analysis was carried out using the software SPSS® version 22.0 (IBM Corp., Armonk, NY, USA). Normality of the data was tested using the Kolmogorov–Smirnov and Shapiro–Wilk tests, and it was observed that the values followed a normal trend, so parametric tests were used. For theses analyses, the Pearson Chi-square test was used and the level of significance was set at 0.05. To see the differences between the variables, single-factor ANOVA was used. Pearson's bivariate correlations were used at the significance level of p < 0.05 and p < 0.01.

3. Results

Table 1 shows the motivational climate according to the level of physical activity. High levels of physical activity were significantly related (p < 0.05) to orientation towards the EC (M = 2.27; S.D. = 0.809) and TC (M = 4.14; S.D. = 0.587), with higher levels in the latter. Similarly, the highest mean values of physical activity were significantly associated (p < 0.05) with CL (M = 4.21; S.D. = 0.665), EI (M = 4.08; S.D. = 0.587), PM (M = 2.12; S.D. = 0.855), and RM (M = 2.83; S.D. = 1.019). However, it was demonstrated that students with low levels of physical activity were significantly related to UR (M = 2.17; S.D. = 0.982) (p = 0.025).

Table 1.

Motivational climate and physical activity level.

Motivational Climate PAQ-A Media S.D. F X 2
TC Low 3.89 0.640 5.004 0.007 *
Medium 3.98 0.631
High 4.14 0.587
CL Low 3.95 0.751 6.231 0.002 *
Medium 3.99 0.740
High 4.21 0.665
EI Low 3.82 0.625 5.146 0.006 *
Medium 3.92 0.649
High 4.08 0.587
IR Low 3.96 0.805 1.966 0.141
Medium 4.07 0.748
High 4.17 0.689
EC Low 2.12 0.755 5.811 0.003 *
Medium 2.04 0.730
High 2.27 0.809
PM Low 1.94 0.840 3.770 0.023 *
Medium 1.92 0.785
High 2.12 0.855
UR Low 2.17 0.982 3.700 0.025 *
Medium 1.96 0.858
High 2.10 0.955
RM Low 2.51 0.822 8.220 0.000 *
Medium 2.49 0.920
High 2.83 0.019

TC: Task Climate; CL: Cooperative Learning; EI: Effort/Improvement; IR: Important Role; EC: Ego Climate; PM: Punishment for Mistakes; UR: Unequal recognition; RM: Rivalry between membership. p < 0.05 (*).

Table 2 shows the motivational climate as a function of the level of adherence to MD. Low adherence to MD is significantly related (p < 0.05) to TC (M = 4.48; S.D. = 0.323), CL (M = 4.60; S.D. = 0.318) and EI (M = 4.33; S.D. = 0.443). On the other hand, adherence to high MD is significantly associated (p < 0.05) with orientation towards EC (M = 2.16; S.D. = 0.790), PM (M = 2.13; S.D. = 0.853) and RM (M = 2.64; S.D. = 0.994).

Table 2.

Motivational climate and MD adherence.

MD Adherence Media S.D. F X 2
TC Low 4.48 0.323 4.529 0.011 *
Medium 3.95 0.624
High 4.05 0.626
CL Low 4.60 0.318 3.855 0.022 *
Medium 3.98 0.734
High 4.07 0.727
EI Low 4.33 0.443 6.933 0.001 *
Medium 3.87 0.650
High 4.02 0.619
IR Low 4.62 0.354 1.956 0.142
Medium 4.07 0.724
High 4.08 0.761
EC Low 1.81 0.703 2.955 0.026 *
Medium 2.06 0.715
High 2.16 0.790
PM Low 1.66 0.372 3.654 0.041 *
Medium 1.91 0.759
High 2.13 0.853
UR Low 1.77 0.971 1.280 0.256
Medium 2.01 0.865
High 2.02 0.916
RM Low 2.19 1.033 3.031 0.049 *
Medium 2.49 0.885
High 2.64 0.994

TC: Task Climate; CL: Cooperative Learning; EI: Effort/Improvement; IR: Important Role; EC: Ego Climate; PM: Punishment for Mistakes; UR: Unequal recognition; RM: Rivalry between membership. p < 0.05 (*).

Table 3 shows the correlation coefficients between motivational climate with physical activity levels and MD. Climate was associated with levels of physical activity and MD at the level of significance of p < 0.05 and p < 0.01. Physical activity levels were positively associated with TC (r = 0.235), CL (r = 0.224), EI (r = 0.242), IR (r = 0.193), EC (r = 0.210), UR (r = 0.196), and RM (r = 0.244). Adherence to MD is positively associated with RM (r = 0.258), EC (r = 0.198), UR (r = 0.183) and RM (r = 0.230).

Table 3.

Correlation coefficients between motivational climate, physical activity level, and MD.

Motivational Climate and dimensions
TC CL EI IR EC PM UR RM
PAQ-A 0.235 ** 0.224 ** 0.242 ** 0.193 ** 0.210 ** 0.065 0.196 ** 0.244 **
KIDMED 0.011 −0.012 0.258 ** −0.024 0.198 ** 0.183 * 0.066 0.230 **

TC: Task Climate; CL: Cooperative Learning; EI: Effort/Improvement; IR: Important Role; EC: Ego Climate; PM: Punishment for Mistakes; UR: Unequal recognition; RM: Rivalry between membership; PAQ-A: test aggregate; KIDMED: test aggregate. p < 0.01 (**); p < 0.05 (*)

4. Discussion

In the present research, in which 775 students of Physical Education participated, the association between motivational climate, adherence to the MD, and physical activity practice was investigated. The peculiarity of this study lies in studying these associations in a specific population; future Physical Education teachers. One of the learning methodologies innate in young students is the observation and imitation of teachers, which explains the importance of researching this population, since it will be their attitudes and habits that children learn and reproduce in the future. However, with a similar nature, studies are highlighted in which these variables are described and related in the population of students and sportsmen [36,37].

The practice of vigorous physical activity is clearly related to the orientation towards the EC. The competitive component implicit in this practice is a key factor in this type of performance orientation. Likewise, physical activity is related to the body’s well-being [38], which is linked to satisfaction and triumph thanks to social recognition. There is a reality where people who turn to the ego experience high levels of pressure to reach a goal, causing the abandonment of sports practice [39,40,41].

Similarly, task orientation is also linked to high levels of physical activity. There are several studies that emphasize that the participants with a greater orientation to the task acquire a great adherence to the physical sports practice [42] due to the fact that they carry it out for satisfaction or recreation. This contributes positively and generates persistence in the actions carried out [43]. Physical activity is an effective means for personal well-being; therefore, this practice favors a motivation that focuses on self-improvement, personal benefit, and continuous learning.

Even so, in the academic and sports fields, special attention must be paid to the unequal recognition among members, since due to the competitiveness implicit in games and sports, situations may arise in which personal disregards appear, and even social rejection may appear [44]. Research shows that in interventions created to increase motivation and create physically healthy habits in young people, strategies should be considered that favor the perception of competencies and skills of young people, while alternating motivational climates oriented to the task and the ego [45,46].

Over time, it has been shown that adequate nutrition is associated with increased sporting performance [47,48]. Based on these premises, the orientation towards the ego climate is associated with a high adherence to the MD. In fact, dietary care is an essential factor in competition with adversaries [49]. On the other hand, subjects who tend to orient themselves towards motivational levels focused on processes and personal well-being (task climate) are associated with low levels of adherence to the MD [22].

The main reason for this association is that people who care about having fun and their own satisfaction do not give importance to dietary care. Even so, it is highlighted that effort and personal improvement are directly associated with adherence to the MD [50]. Studies such as Balaguer, Duda, and Castillo (2017) [51] and Moreno-Murcia et al. (2015) [41], show that task orientation is positively related to physical and healthy practice, while it is negatively related to harmful substance consumption.

5. Conclusions

Motivational orientations towards tasks and the ego are associated with physical activity. On one hand, the health and self-improvement component promoted by physical activity favors the learning process. Likewise, the competitive component is key in motivation centered on the product and social recognition. In addition, future Physical Education teachers should pay special attention to the unequal recognition among members that physical activity can generate, in order to avoid personal disregard and social rejection.

The EC is related to a high adherence to the MD. The reason for this is that food is a key factor in performance and rivalry between members. On the other hand, the future Physical Education teachers who manifest motivational processes based on fun and their own satisfaction have low levels of adherence to the MD. However, it should be noted that effort and personal improvement are directly associated with adherence to the MD.

The main limitations of the study are that it is a cross-sectional study, which means that cause–effect assessments cannot be established. Other variables could also be included that work on attitudes towards Physical Education, aspects related to mental health, and the teaching–learning process. Likewise, the main virtue of this research may also be a limitation, since it has been carried out on a specific population of university students of Physical Education. This importance is also highlighted when it comes to student learning, since this will reproduce the habits and behaviors of teachers. Finally, as future perspectives for the study, the aim is to work with variables related to psychological well-being and to propose interventions in which motivational orientations centered on process and performance are combined with physical sports and mental activity programs.

Author Contributions

Conceptualization, G.G.-V., P.P.-M. and I.A.R.-G.; Methodology, G.G.-V., P.P.-M. and J.L.U.-J.; Software, G.G.-V.; Formal Analysis, G.G.-V. and P.P.-M.; Investigation, G.G.-V. and P.P.-M.; Resources J.L.U.-J.; Data Curation, I.A.R.-G.; Writing-Original Draft Preparation, G.G.-V. and P.P.-M.; Writing-Review & Editing, G.G.-V., P.P.-M., J.L.U.-J. and I.A.R.-G.; Visualization, G.G.-V. and P.P.-M.; Supervision, G.G.-V. and P.P.-M.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  • 1.Cluskey M., Grobe D. College weight gain and behavior transitions: Male and female differences. J. Am. Diet. Assoc. 2009;109:325–329. doi: 10.1016/j.jada.2008.10.045. [DOI] [PubMed] [Google Scholar]
  • 2.Bertrand J., Crerar A., Randall J. A Canadian University “Understanding Foods” Course Improves Confidence in Food Skills and Food Safety Knowledge. Can. J. Diet. Pract. Res. 2018;79:1–6. doi: 10.3148/cjdpr-2018-012. [DOI] [PubMed] [Google Scholar]
  • 3.Chacón-Cuberos R., Zurita-Ortega F., Olmedo-Moreno E., Padial-Ruz R., Castro-Sánchez M. An Exploratory Model of Psychosocial Factors and Healthy Habits in University Students of Physical Education Depending on Gender. Int. J. Environ. Res. Public Health. 2018;15:2430. doi: 10.3390/ijerph15112430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Puertas-Molero P., Zurita-Ortega F., Chacón-Cuberos R., Martínez-Martínez A., Castro-Sánchez M., González-Valero G. An Explanatory Model of Emotional Intelligence and Its Association with Stress, Burnout Syndrome, and Non-Verbal Communication in the University Teachers. J. Clin. Med. 2018;7:524. doi: 10.3390/jcm7120524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Jaakkola T., Washington T., Yli-Piipari S. The association between motivation in school physical education and self-reported physical activity during Finnish junior high school: A self-determination theory approach. Eur. Phys. Educ. Rev. 2013;19:127–141. doi: 10.1177/1356336X12465514. [DOI] [Google Scholar]
  • 6.Yli-Piipari S., Barkoukis V., Jaakkola T., Liukkonen J. The effect of physical education goal orientations and enjoyment in adolescent physical activity: A parallel process latent growth analysis. Sport Exerc. Perform. Psychol. 2013;2:15–31. doi: 10.1037/a0029806. [DOI] [Google Scholar]
  • 7.Ames C. Classrooms: Goals, structures, and student motivation. J. Educ. Psychol. 1992;84:261–271. doi: 10.1037/0022-0663.84.3.261. [DOI] [Google Scholar]
  • 8.Nicholls J. The Competitive Ethos and Democratic Education. Harvard University Press; Cambridge, UK: 1989. [Google Scholar]
  • 9.Deci E., Ryan R. Intrinsic Motivation and Selfdetermination in Human Behavior. Plenum Press; New York, NY, USA: 1985. [Google Scholar]
  • 10.Ryan R., Deci E. Self-determination theory and the facilitation of intrinsic motivation, social development, and wellbeing. Am. Psychol. 2000;55:68–78. doi: 10.1037/0003-066X.55.1.68. [DOI] [PubMed] [Google Scholar]
  • 11.Harwood C., Spray C.M., Keegan R. Achievement Goal Theories in Sport. Human Kinetics; Champaign, IL, USA: 2008. [Google Scholar]
  • 12.Langdon J.L., Schlote R., Melton B., Tessier D. Effectiveness of a need supportive teaching training program on the developmental change process of graduate teaching assistants’ created motivational climate. Psychol. Sport Exerc. 2017;28:11–23. doi: 10.1016/j.psychsport.2016.09.008. [DOI] [Google Scholar]
  • 13.Hastie P.A., Rudisill M.E., Boyd K. An ecological analysis of a preschool mastery climate physical education programme. Phys. Educ. Sport Pedag. 2016;21:217–232. doi: 10.1080/17408989.2015.1017454. [DOI] [Google Scholar]
  • 14.Chamberlin J.M., Fry M.D., Iwasaki S. High School Athletes’ Perceptions of the Motivational Climate in Their Off-Season Training Programs. J. Strength Cond. Res. 2017;31:736–742. doi: 10.1519/JSC.0000000000001533. [DOI] [PubMed] [Google Scholar]
  • 15.Brown T.C., Fry M.D. Effects of an intervention with a university recreation center staff to foster a caring, task-involving climate. J. Clin. Sport Psychol. 2015;9:41–58. doi: 10.1123/jcsp.2014-0007. [DOI] [Google Scholar]
  • 16.Sheehan R.B., Herring M.P., Campbell M.J. Longitudinal relations of mental health and motivation among elite student-athletes across a condensed season: Plausible influence of academic and athletic schedule. Psychol. Sport Exerc. 2018;37:146–152. doi: 10.1016/j.psychsport.2018.03.005. [DOI] [Google Scholar]
  • 17.Abós Á., Haerens L., Sevil J., Aelterman N., García-González L. Teachers’ motivation in relation to their psychological functioning and interpersonal style: A variable-and person-centered approach. Teach. Teach. Educ. 2018;74:21–34. doi: 10.1016/j.tate.2018.04.010. [DOI] [Google Scholar]
  • 18.Bae M., Yoon J., Kang H., Kim T. Influences of perfectionism and motivational climate on attitudes towards doping among Korean national athletes: A cross sectional study. Subst. Abuse Treat. Prev. Policy. 2017;12:52. doi: 10.1186/s13011-017-0138-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Agbuga B. Turkish Students’ Opinions about Their Perceived Motivational Climate and Effort/Persistence in Physical Education. Egit. Bilim. 2014;39:95–107. doi: 10.15390/EB.2014.2881. [DOI] [Google Scholar]
  • 20.Breske M.P., Fry M.D., Fry A.C., Hogue C.M. The effects of goal priming on cortisol responses in an ego-involving climate. Psych. Sport Exerc. 2017;32:74–82. doi: 10.1016/j.psychsport.2017.06.001. [DOI] [Google Scholar]
  • 21.Brinkman-Majewski R.E., Weiss W.M. The Motivational Climate and Intrinsic Motivation in the Rehabilitation Setting. J. Sport Rehab. 2018;5:460–468. doi: 10.1123/jsr.2016-0228. [DOI] [PubMed] [Google Scholar]
  • 22.Chacón-Cuberos R., Zurita-Ortega F., Puertas-Molero P., Knox E., Cofré-Bolados C., Viciana-Garófano V., Muros-Molina J.J. Relationship between Healthy Habits and Perceived Motivational Climate in Sport among University Students: A Structural Equation Model. Sustainability. 2018;10:938. doi: 10.3390/su10040938. [DOI] [Google Scholar]
  • 23.Sprake E.F., Russell J.M., Cecil J.E., Cooper R.J., Grabowski P., Pourshahidi L.K., Barker M.E. Dietary patterns of university students in the UK: A cross-sectional study. Nutr. J. 2018;17:90. doi: 10.1186/s12937-018-0398-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Zhang L., Qian H., Fu H. To be thin but not healthy-The body-image dilemma may affect health among female university students in China. PLoS ONE. 2018;13:e0205282. doi: 10.1371/journal.pone.0205282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Lidin M., Ekblom-Bak E., Rydell Karlsson M., Hellénius M.L. Long-term effects of a Swedish lifestyle intervention programme on lifestyle habits and quality of life in people with increased cardiovascular risk. Scand. J. Public Health. 2017;46:613–622. doi: 10.1177/1403494817746536. [DOI] [PubMed] [Google Scholar]
  • 26.Cervera F., Serrano R., Vico C., Milla M., García M.J. Hábitos alimentarios y evaluación nutricional en una población universitaria. Nutr. Hosp. 2013;28:438–446. doi: 10.3305/nh.2013.28.2.6303. [DOI] [PubMed] [Google Scholar]
  • 27.Buyuktuncer Z., Ayaz A., Dedebayraktar D., Inan-Eroglu E., Ellahi B., Besler H. Promoting a Healthy Diet in Young Adults: The Role of Nutrition Labelling. Nutrients. 2018;10:1335. doi: 10.3390/nu10101335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Alvárez-Alvárez I., De Rojas J.P., Fernández-Montero A., Zazpe I., Ruiz-Canela M., Hidalgo-Santamaría M., Martínez-González M.Á. Strong inverse associations of Mediterranean diet, physical activity and their combination with cardiovascular disease: The Seguimiento Universidad de Navarra (SUN) cohort. Eur. J. Prev. Cardiol. 2018;25:1186–1197. doi: 10.1177/2047487318783263. [DOI] [PubMed] [Google Scholar]
  • 29.Fortin A., Rabasa-Lhoret R., Lemieux S., Labonté M.E., Gingras V. Comparison of a Mediterranean to a low-fat diet intervention in adults with type 1 diabetes and metabolic syndrome: A 6-month randomized trial. Nutr. Metab. Card. Dis. 2018;28:1275–1284. doi: 10.1016/j.numecd.2018.08.005. [DOI] [PubMed] [Google Scholar]
  • 30.Idelson P.I., Scalfi L., Valerio G. Adherence to the Mediterranean Diet in children and adolescents: A systematic review. Nutr. Metab. Card. Dis. 2017;27:283–299. doi: 10.1016/j.numecd.2017.01.002. [DOI] [PubMed] [Google Scholar]
  • 31.González-Cutre D., Sicilia A., Moreno J.A. Modelo cognitivo-social de la motivación de logro en educación física. Psicothema. 2008;20:642–651. [PubMed] [Google Scholar]
  • 32.Newton M.L., Duda J.L., Yin Z. Examination of the psychometric properties of the Perceived Motivational Climate in Sport Questionnaire-2 in a sample of female athletes. J. Sports Sci. 2000;18:275–290. doi: 10.1080/026404100365018. [DOI] [PubMed] [Google Scholar]
  • 33.Kowalski K.C., Crocker P.R., Donen R.M. The physical activity questionnaire for older children (PAQ-C) and adolescents (PAQ-A) manual. Coll. Kinesiol. Univ. Sask. 2004;87:1–38. [Google Scholar]
  • 34.Martínez-Gómez D., Martínez-De Haro V., Pozo T., Welk G.J., Villagra A., Calle M.E., Veiga O.L. Fiabilidad y validez del cuestionario de actividad física PAQ-A en adolescentes españoles. Rev. Esp. Salud Pública. 2009;83:427–439. doi: 10.1590/S1135-57272009000300008. [DOI] [PubMed] [Google Scholar]
  • 35.Serra-Majem L., Ribas L., Ngo J., Ortega R.M., García A., Pérez-Rodrigo C., Aranceta J. Food, youth and the Mediterranean diet in Spain. Development of KIDMED, Mediterranean Diet Quality Index in children and adolescents. Public Health Nutr. 2004;7:931–935. doi: 10.1079/PHN2004556. [DOI] [PubMed] [Google Scholar]
  • 36.Pember S.E., Knowlden A.P. Dietary change interventions for undergraduate populations: Systematic review and recommendations. Am. J. Health Educ. 2017;48:48–57. doi: 10.1080/19325037.2016.1250018. [DOI] [Google Scholar]
  • 37.Zurita-Ortega F., Chacón-Cuberos R., Castro-Sánchez M., Gutiérrez-Vela F., González-Valero G. Effect of an intervention program based on active video games and motor games on health indicators in university students: A pilot study. Int. J. Environ. Res. Public Health. 2018;15:1329. doi: 10.3390/ijerph15071329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Schenker K. Health (y) education in Health and Physical Education. Sport Educ. Soc. 2018;23:229–243. doi: 10.1080/13573322.2016.1174845. [DOI] [Google Scholar]
  • 39.Hein V., Hagger M.S. Global self-esteem, goal achievement orientations, and self-determined behavioural regulations in a physical education setting. J. Sports Sci. 2007;25:149–159. doi: 10.1080/02640410600598315. [DOI] [PubMed] [Google Scholar]
  • 40.Li W., Lee A., Solmon M. Relationships among dispositional ability conceptions, intrinsic motivation, perceived competence, experience, persistence, and performance. J. Teach. Phys. Educ. 2005;24:51–65. doi: 10.1123/jtpe.24.1.51. [DOI] [Google Scholar]
  • 41.Moreno-Murcia J.A., Sicilia A., Sáenz-López P., González-Cutre D., Almagro B., Conde C. Análisis motivacional comparativo en tres contextos de actividad física. Rev. Int. Med. Cien. Activ. Fis. Dep. 2015;14:665–685. [Google Scholar]
  • 42.Jiménez-Castuera R., Cervelló-Gimeno E., García-Calvo T., Santos-Rosa F.J., Iglesias-Gallego D. Analysis of the relationship between motivation, the practice of extracurricular sport activities and the nutritional and resting habits in physical education students. Int. J. Clin. Health Psychol. 2007;7:385–401. [Google Scholar]
  • 43.González-Valero G., Zurita-Ortega F., Martínez-Martínez A. Panorama motivacional y de actividad física en estudiantes: Una revisión sistemática. ESHPA. 2017;1:41–58. [Google Scholar]
  • 44.Bastos J., Celeste R., Silva D., Priest N., Paradies Y. Assessing mediators between discrimination, health behaviours and physical health outcomes: A representative cross-sectional study. Soc. Psychol. Epidemiol. 2015;50:1731–1742. doi: 10.1007/s00127-015-1108-0. [DOI] [PubMed] [Google Scholar]
  • 45.Cecchini-Estrada J.A., Méndez-Giménez A. Motivational climate, 2 × 2 achievement goal orientation and dominance, self-regulation, and physical activity in pre-service teacher education. Eur. Phys. Educ. Rev. 2017;23:461–479. doi: 10.1177/1356336X16655779. [DOI] [Google Scholar]
  • 46.Marques A., Peralta M., Martins J., Sarmento H., Routen A.C., Costa F. Psychosocial correlates of organized physical activity in Portuguese urban youth. Motriz. 2016;22:327–334. doi: 10.1590/s1980-6574201600040017. [DOI] [Google Scholar]
  • 47.Parks R.B., Helwig D., Dettmann J., Taggart T., Woodruff B., Horsfall K., Brooks M.A. Developing a performance nutrition curriculum for collegiate athletics. J. Nutr. Educ. Behav. 2016;48:419–424. doi: 10.1016/j.jneb.2016.03.002. [DOI] [PubMed] [Google Scholar]
  • 48.Sirico F., Miressi S., Castaldo C., Spera R., Montagnani S., Di Meglio F., Nurzynska D. Habits and beliefs related to food supplements: Results of a survey among Italian students of different education fields and levels. PLoS ONE. 2018;13:e0191424. doi: 10.1371/journal.pone.0191424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Rubio-Arias J.Á., Ramos-Campo D.J., Ruiloba-Nuñez J.M., Carrrasco-Poyatos M., Alcaraz-Ramón P., Jiménez-Díaz F.J. Adherence to a mediterranean diet and sport performance in a elite female athletes futsal population. Nutr. Hosp. 2015;31:2276–2282. doi: 10.3305/nh.2015.31.5.8624. [DOI] [PubMed] [Google Scholar]
  • 50.McEvoy C.T., Moore S.E., Appleton K.M., Cupples M.E., Erwin C., Kee F., Woodside J.V. Development of a peer support intervention to encourage dietary behaviour change towards a Mediterranean diet in adults at high cardiovascular risk. BMC Public Health. 2018;18:1194. doi: 10.1186/s12889-018-6108-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Balaguer I., Duda J.L., Castillo I. Motivational Antecedents of Well-Being and Health Related Behaviors in Adolescents. J. Hum. Kinet. 2017;59:121–130. doi: 10.1515/hukin-2017-0152. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Behavioral Sciences are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES