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Article

Influence of Adiposity on Physical Activity in Schoolchildren: The Moderator Role of Adherence to the Mediterranean Diet

by
José Francisco López-Gil
1,*,
Antonio García-Hermoso
2,3,
Rafael Gomes Sentone
4,
Cristiano Israel Caetano
4,
Fernando Renato Cavichiolli
4 and
Juan Luis Yuste Lucas
5
1
Departamento de Actividad Física y Deporte, Facultad de Ciencias del Deporte, Universidad de Murcia (UM), 30720 San Javier, Region of Murcia, Spain
2
Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Navarra, Spain
3
Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Universidad de Santiago de Chile (USACH), 71783-5 Santiago, Chile
4
Departamento de Educação Física, Universidade Federal do Paraná (UFPR), 81531-980 Curitiba, Paraná, Brazil
5
Departamento de Expresión Plástica, Musical y Dinámica, Facultad de Educación, Universidad de Murcia (UM), 30100 Espinardo, Region of Murcia, Spain
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(16), 6474; https://doi.org/10.3390/su12166474
Submission received: 3 June 2020 / Revised: 2 July 2020 / Accepted: 6 July 2020 / Published: 11 August 2020
(This article belongs to the Special Issue Physical Education, Health Promotion, and Sustainability)

Abstract

:
Background: Studies were performed in order to determine the existing relationship between body composition and both physical activity (PA) levels and food habits. Nevertheless, no study has yet examined if the association between adiposity and PA in children is moderated by adherence to the Mediterranean diet (MD). Methods: the cross-sectional and associative analysis involved a total of 370 children (55.1% boys) aged 6–13, from six different schools from the Murcia region of Spain. Results: The different values of moderator [adherence to the MD expressed as a Mediterranean Diet Quality Index (KIDMED) score] are shown by the slope and the different areas of significance. The first area was shown below ≤3.8, indicating that the unfavorable influence of excess of adiposity on PA could be intensified for children in this area. The second area was a significant positive area was shown above ≥9.3, expressing that the unfavorable influence of adiposity could be reduced for those who were above this estimation point. Conclusion: Our findings reveal that the adverse effects of excess adiposity on PA can be moderated by adherence to the MD among schoolchildren.

1. Introduction

Overweight and obesity are known globally as the most severe public health problems due to their worrying increase over time [1]. Although existing knowledge of the serious consequences of overweight and obesity is primarily founded on studies in adults, growing evidence suggests that childhood obesity has a number of immediate, intermediate, and long-term health consequences [2]. Some of these consequences could be linked to the negative relationship between several behaviors associated with physical activity (PA) and adiposity as shown in the scientific literature [3], since insufficient levels of PA are the fourth-leading risk factor for premature mortality in adulthood [4]. In this sense, it is widely though that childhood adiposity is caused by physical inactivity [5,6,7] due to a strong inverse dose–response association with body mass index (BMI) [8]. However, confounding or reverse causation (i.e., that adiposity influences physical inactivity, rather than vice versa) may partially explain this relationship [9]. In this sense, the causal contributions of adiposity to activity levels in children were highlighted [10], which may justify why PA interventions are often unsuccessful in preventing excess weight increase in children [11].
The typical eating habits of the people who live in the regions around the Mediterranean Sea [8], known as the Mediterranean diet (MD), are recognized worldwide as one of the healthiest and most beneficial ways of eating due to the ability to help prevent several chronic, non-communicable diseases [8]. Unfortunately, adherence to the principles of the MD have greatly diminished in the Mediterranean region, principally among young populations [7,8,9,10,11].
Regarding Spain, some studies were conducted to estimate the relationship between body composition and both PA levels and food habits [12,13,14]. To the best of our knowledge, no study has yet researched if the association between adiposity and PA in children is moderated by adherence to the MD. In this sense, moderation analysis is an adequate analytical strategy to examine when or under what circumstances the independent variable affects the dependent variable [15]. Thus, although multi-component, behavior-changing intervention programs including healthy diet, PA, and behavioral changes may be beneficial for obtaining small, short-term reductions in BMI, BMI z-score, and weight in children [16], we hypothesized that adiposity could diminish the PA level of children and that adherence to the MD could attenuate this negative association. Hence, we aimed to examine whether adherence to the MD moderates the association between adiposity and PA in a sample of Spanish schoolchildren aged 6–13.

2. Materials and Methods

2.1. Sample Population and Study Design

In this study, the cross-sectional and associative analysis involved 370 children (44.9% girls) aged 6–13 from six different schools from the Murcia region of Spain. Data were collected during the 2017–2018 academic year. The children were categorized by type of schooling: (a) public or (b) private with public funds, as well as area of residence: (a) urban (>5000 inhabitants) or (b) rural (≤5000 inhabitants) [17]. The Bioethics Committee of the University of Murcia approved this study protocol (Approval number 2218/2018). The ethical principles of the Declaration of Helsinki were respected. We informed all participants (both parents/legal guardians and their children) about the study’s objectives. To participate, written informed consent was required from children and their parents or legal guardians. Those who were exempt from physical education classes were excluded from the study. All of the questionnaires were filled out by the schoolchildren during physical education classes.

2.2. Procedures

2.2.1. Anthropometric and Body Composition Measures

Protocols outlined by the International Society for the Advancement of Kinanthropometry (ISAK) were respected during the measurements. All the measurements were obtained by a single qualified Level II (certified by ISAK) evaluator. Skinfolds were measured at the triceps, biceps, subscapular, and iliac crest, using a skinfold caliper (Holtain Ltd., Crosswell, United Kingdom). Body density was estimated by the summary of skinfolds [18]. To obtain body fat from body density, the Siri formula was applied [19], and the difference between full body mass and fat mass was computed as a fat-free mass. On the same day, all participants were assessed according to all the measures related to body composition during the physical education lesson of the school period.

2.2.2. Physical Activity

Participants fulfilled the Physical Activity Questionnaire for Older Children (PAQ-C). The PAQ-C is a self-administered, 7-day recall questionnaire, comprising nine items, that assesses the regularity of the physical activities performed at home, at school, and during spare time [20]. It includes nine questions that are classified on a Likert scale and was adapted to and validated for Spanish youths [21]. The suggestions of Bervoets et al. [22] about the fulfilment of PAQ-C for children aged 6–7 were followed, since this questionnaire was validated for children aged 8–14. Thus, we recommended parents to aid their children by reading and completing the items, without providing any guidelines for responding to the different items.

2.2.3. Adherence to the Mediterranean Diet

To determine the adherence to the MD, the Mediterranean Diet Quality Index (KIDMED) questionnaire was used [23]. This questionnaire comprises 16 items that are related to Mediterranean dietary patterns. Those items that indicate negative MD meanings score a −1, whereas those with positive meanings (e.g., do you use olive oil for cooking at home?) score a +1. The sum of the 16 items were used to create a global score. According to the global score obtained, children’s adherence to the MD was classified as low (≤3), medium (4–7), or high (≥8). The questionnaires were supervised and administered by trained staff to help all participants understand the questionnaires.

2.3. Statistical Analyses

Frequency distribution for categorical variables and descriptive analyses using mean ± standard deviation for the continuous variables were used to indicate the characteristics of this sample. The normality of data was analyzed by the Kolmogorov–Smirnov test. Body fat percentages, PAQ-C scores, and KIDMED scores had skewed distributions and were transformed prior to analyses. To help the understanding of the analyses, we used a two-step technique for changing non-normally distributed variables to normally distributed variables [24]. Student’s t-test was used to test significant differences between sexes. The PROCESS macro (version 3.4) in SPSS software (IBM Corp, Armonk, New York, USA) for Windows (version 24.0), was applied to perform an analysis of moderation. Initial analysis did not indicate significant interactions between sex and adiposity according to PA level (p = 0.277); consequently, all analyses were performed with both boys and girls together. Moderation analysis was used to analyze if adiposity (independent variable) was linked to a lower level of PA (dependent variable), and to determine if this adverse influence was moderated by adherence to the MD (moderator variable). Ordinary least squares (OLS) regression analysis was performed to predict continuous variables (adiposity and PA). To visualize the effect of the moderator, a simple slope plot was used. We used the Johnson–Neyman method to check the point at which the adherence to the MD value moderated the relationship between adiposity and PA level [25]. Sex, age, type of schooling, and area of residence were adjusted for all the tests performed.

3. Results

Table 1 shows that there were 370 study participants, of whom 55.1% were boys and 44.9% girls. Age and anthropometric markers defined the main characteristics of the analyzed sample. The differences between sex for height and sum of skinfolds were statistically significant (p < 0.050). Regarding PA outcomes (computed from PAQ-C score), boys showed a significantly higher score than girls. Additionally, no statistically significant differences were shown for adherence to the MD.
Table 2 indicates a negative association between adiposity (measured via skinfolds) and PA in schoolchildren (adjusted model) according to OLS regression. This path is identified as the direct effect [B = −0.025; 95% CI (confident intervals) = (−0.443, −0.006)], and was moderated by adherence to the MD. The unfavorable effect of adiposity on PA was moderated by adherence to the MD [B = 0.004; 95% CI = (0.001, 0.007)].
Figure 1 shows the moderating effect of MD adherence in the association between adiposity on physical activity for different conditional effects (+1 SD, mean, and −1 SD) after adjustment for age, sex, type of schooling, and area of residence. Thus, we observed that higher MD adherence exerted a positive moderation in the PA level of those children with higher adiposity, which was the greatest effect within the category of higher MD adherence (+1 SD) [(ß = 0.010; 95% CI = (0.001, 0.019)].
To clarify an estimation point from which the moderator value could have a moderative effect, the Johnson–Neyman method was performed. Figure 2 shows the result. The different values of moderator (adherence to the MD expressed as a KIDMED score) are shown by the slope and the different areas of significance. The first area is shown at ≤3.8, indicating that the unfavorable influence of excess of adiposity on PA could be stronger for children in this area. In the second area, a significant positive area is shown at ≥9.3, expressing that the unfavorable influence of adiposity could be lower for those who were above this estimation point. Finally, a neutral area was perceived, which showed that the negative effect did not increase or decrease in children with a KIDMED score between the lower and upper threshold.

4. Discussion

The purpose of this study was to examine the moderating role of MD adherence on the negative influence of adiposity on PA in Spanish schoolchildren. Our results presented a negative relationship between adiposity and PA. This finding is in agreement with the results obtained in other countries, where lower levels of PA are found in children who are overweight or obese [26]. Likewise, our findings agree with those obtained by previous studies [5,12], which found that increased adiposity leads to a decrease in PA, suggesting that the association between adiposity and PA is led by the impact of adiposity on PA, rather than vice versa. This could be due to the low level of motor competence in overweight/obese children, which indicates that it is crucial to focus on improving their motor skills to promote regular participation in PA, principally if they do not play sports in a club environment [27].
A positive association between adherence to the MD and PA levels was found. This could be justified because adhering to the MD, apart from its nutritional benefits, produces an active lifestyle [28]. Following this, a recent systematic review found a positive association between MD adherence and high levels of PA [29]. This is related to previous findings [30] that showed that children who eat healthy food are less sedentary and more likely to be physically active compared to children who consume less healthy foods. MD adherence could also stimulate PA by allowing those children who adopt healthier eating habits to be more physically active, if only by supplying them with essential nutrients such as amino acids, ω-6 and ω-3 fatty acids, vitamins, and certain minerals [29]. Therefore, the higher caloric expenditure of active youths implies a greater intake of essential nutrients [31,32], which necessitates a greater intake of high-quality proteins, glucides, essentials fats, and vitamins provided by suitable Mediterranean patterns.
Regarding the association between the MD and adiposity, results from studies performed on youths about the prevention of obesity by the MD indicated a lack of consistency with regards to the findings, showing a negative relationship between MD adherence and excess weight in less than half of studies [4]. This finding could be explained at least partially because the evaluation of the relationship between the MD and excess weight could be biased by the methodology through which the anthropometric values are collected [28]. Another explanation could be that the KIDMED questionnaire measures the quality of the diet and not the quantity. In this sense, increasing calorie consumption (even if based on the MD) will result in weight gain, as dictated by the first law of thermodynamics [6].
The optimization of Mediterranean eating patterns could raise the level of PA and, consequently, children’s cardiorespiratory fitness, since, among other factors, regular PA and especially that of vigorous intensity seems to be the most efficient at acting as a successful instrument to mitigate the negative effects of obesity on health [32]. For the overweight and obese pediatric population, PA is a valuable method to control or enhance body composition, metabolic profiles, and states of inflammation [25]. Furthermore, a healthy diet combined with a physically active lifestyle has many health benefits beyond simply promoting a healthy weight [33]. Thus, behavioral strategies aimed at decreasing sedentary behavior, decreasing overall caloric intake, and increasing PA are the keystones of pediatric weight management [34]. Similarly, the efficacy of school interventions that merge diet and PA components seems to be promising for the prevention of childhood obesity worldwide [35].
The main strength of this study is that, to the best of our knowledge, it was the first to analyze whether the relationship between adiposity and PA in children can be moderated by the MD. Another strength is that our findings contributes to the increase in knowledge of children, a population that is often understudied. Our study also had some limitations. We did not determine that the observed associations reveal causal relationships. Due to the cross-sectional study design, we were not able to conclude that increased adherence to the MD (with or without excess adiposity) causes a higher PA level or, conversely, that a lower PA level causes decreased adherence to the MD (i.e., the reverse causality). For this reason, although we argued for a specific direction of the dependence between variables, other directions of the effects are also feasible. Additionally, the calculation of PA patterns would have been more precise if we had used accelerometer devices in our standardized questionnaires. Lastly, we did not measure adiposity using a four-compartment model (4C). This model is the gold standard for evaluating body composition, although it is expensive and requires specialized tools to separately quantify the total bone mineral content, body water, and body volume [36].

5. Conclusions

Our findings revealed that the adverse effects of excess adiposity on PA can be moderated by adherence to the MD among schoolchildren. Consequently, strategies designed to improve the eating habits of schoolchildren, especially toward greater adherence to the MD, could be vital as a method to promote their PA and preserve their overall health. Likewise, such interventions should not only be directed toward children but also toward parents and legal guardians as the main individuals responsible for feeding their children.
Future research with representative samples as well as longitudinal monitoring are needed to explore the possible beneficial effects of the MD on the negative relationship between adiposity and PA in schoolchildren.

Author Contributions

J.F.L.-G. and J.L.Y.L. designed the study; J.F.L.-G., A.G.-H., and R.G.S. contributed to analysis of the data and writing of the draft; J.F.L.-G., A.G.-H., C.I.C., and F.R.C. contributed to the analysis and interpretation of the data; A.G.-H., C.I.C., R.G.S., F.R.C., and J.L.Y.L. contributed to the revision of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES) Finance Code 001.

Acknowledgments

The authors wish to expressly thank the University of Murcia, the Ayuntamiento de Archena and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES) for their trust and help in the process of data collection in this project. Likewise, an additional acknowledgement is made for the dedication of all parents/legal guardians, students, physical education teachers, schools, and others involved. The authors are grateful for the useful data collected.

Conflicts of Interest

The authors declare that there is no conflict of interest.

References

  1. Abarca-Gómez, L.; Abdeen, Z.A.; Hamid, Z.A.; Abu-Rmeileh, N.M.; Acosta-Cazares, B.; Acuin, C.; Adams, R.J.; Aekplakorn, W.; Afsana, K.; Aguilar-Salinas, C.A.; et al. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: A pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017, 390, 2627–2642. [Google Scholar] [CrossRef] [Green Version]
  2. Wang, Y.; Lim, H. The global childhood obesity epidemic and the association between socio-economic status and childhood obesity. Int. Rev. Psychiatry 2012, 24, 176–188. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Jiménez-Pavón, D.; Kelly, J.; Reilly, J.J. Associations between objectively measured habitual physical activity and adiposity in children and adolescents: Systematic review. Int. J. Pediatr. Obes. 2010, 5, 3–18. [Google Scholar] [CrossRef]
  4. World Health Organization. Global Health Risks: Mortality and Burden of Disease Attributable to Selected Major Risks; World Health Organization, Ed.; World Health Organization: Geneva, Switzerland, 2009; ISBN 978-92-4-156387-1. [Google Scholar]
  5. De Santi, M.; Callari, F.; Brandi, G.; Toscano, R.V.; Scarlata, L.; Amagliani, G.; Schiavano, G.F. Mediterranean diet adherence and weight status among Sicilian Middle school adolescents. Int. J. Food Sci. Nutr. 2020, 1–9. [Google Scholar] [CrossRef]
  6. Arnaoutis, G.; Georgoulis, M.; Psarra, G.; Milkonidou, A.; Panagiotakos, D.B.; Kyriakou, D.; Bellou, E.; Tambalis, K.D.; Sidossis, L.S. Association of Anthropometric and Lifestyle Parameters with Fitness Levels in Greek Schoolchildren: Results from the EYZHN Program. Front. Nutr. 2018, 5, 10. [Google Scholar] [CrossRef] [Green Version]
  7. Monjardino, T.; Lucas, R.; Ramos, E.; Barros, H. Associations between a priori-defined dietary patterns and longitudinal changes in bone mineral density in adolescents. Public Health Nutr. 2014, 17, 195–205. [Google Scholar] [CrossRef] [Green Version]
  8. Martinez-Gonzalez, M.A.; Bes-Rastrollo, M. Dietary patterns, Mediterranean diet, and cardiovascular disease. Curr. Opin. Lipidol. 2014, 25, 20–26. [Google Scholar] [CrossRef] [PubMed]
  9. López-Gil, J.F.; de Camargo, E.M.; Yuste Lucas, J.L. Adherencia a la dieta mediterránea en escolares de Educación Primaria partícipes en actividad física: Una revisión sistemática. Cult. Cienc. Deporte 2020, 15, 267–275. [Google Scholar] [CrossRef]
  10. García, S.; Herrera, N.; Rodríguez, C.; Nissensohn, M.; Román-Viñas, B.; Serra-Majem, L. KIDMED test; prevalence of low adherence to the mediterranean diet in children and young; a systematic review. Nutr. Hosp. 2015, 32, 2390–2399. [Google Scholar] [CrossRef]
  11. Arriscado, D.; Muros, J.J.; Zabala, M.; Dalmau, J.M. Hábitos de práctica física en escolares: Factores influyentes y relaciones con la condición física. Nutr. Hosp. 2015, 31, 1232–1239. [Google Scholar] [CrossRef]
  12. Aparicio, A.; Rodríguez-Rodríguez, E.E.; Aranceta-Bartrina, J.; Gil, Á.; González-Gross, M.; Serra-Majem, L.; Varela-Moreiras, G.; Ortega, R.M. Differences in meal patterns and timing with regard to central obesity in the ANIBES (‘Anthropometric data, macronutrients and micronutrients intake, practice of physical activity, socioeconomic data and lifestyles in Spain’) Study. Public Health Nutr. 2017, 20, 2364–2373. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Barja-Fernández, S.; Pino, M.; Portela Pino, I.; Leis Trabazo, R. Evaluación de los hábitos de alimentación y actividad física en escolares gallegos. Nutr. Hosp. 2020, 37, 93–100. [Google Scholar] [CrossRef] [PubMed]
  14. Hayes, A.F. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach, 2nd ed.; Methodology in the Social Sciences; Guilford Press: New York, NY, USA, 2018; ISBN 978-1-4625-3465-4. [Google Scholar]
  15. Mead, E.; Brown, T.; Rees, K.; Azevedo, L.B.; Whittaker, V.; Jones, D.; Olajide, J.; Mainardi, G.M.; Corpeleijn, E.; O’Malley, C.; et al. Diet, physical activity and behavioural interventions for the treatment of overweight or obese children from the age of 6 to 11 years. Cochrane Database Syst. Rev. 2017. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Ministerio de Medio Ambiente y Medio Rural y Marino. Población y Sociedad Rural; Serie AgrInfo; Unidad de Análisis y Prospectiva: Madrid, Spain, 2009. [Google Scholar]
  17. Brook, C.G. Determination of body composition of children from skinfold measurements. Arch. Dis. Child. 1971, 46, 182–184. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Siri, W.E. Body composition from fluid spaces and density: Analysis of methods. In Techniques for Measuring Body Composition; National Academy of Sciences: Washington, DC, USA, 1961; pp. 223–244. [Google Scholar]
  19. Kowalski, K.C.; Crocker, P.R.E.; Kowalski, N.P. Convergent Validity of the Physical Activity Questionnaire for Adolescents. Pediatr. Exerc. Sci. 1997, 9, 342–352. [Google Scholar] [CrossRef]
  20. Benítez-Porres, J.; López-Fernández, I.; Raya, J.F.; Álvarez Carnero, S.; Alvero-Cruz, J.R.; Álvarez Carnero, E. Reliability and Validity of the PAQ-C Questionnaire to Assess Physical Activity in Children. J. Sch. Health 2016, 86, 677–685. [Google Scholar] [CrossRef]
  21. Bervoets, L.; Van Noten, C.; Van Roosbroeck, S.; Hansen, D.; Van Hoorenbeeck, K.; Verheyen, E.; Van Hal, G.; Vankerckhoven, V. Reliability and Validity of the Dutch Physical Activity Questionnaires for Children (PAQ-C) and Adolescents (PAQ-A). Arch. Public Health 2014, 72, 47. [Google Scholar] [CrossRef] [Green Version]
  22. 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. [Google Scholar] [CrossRef]
  23. Templeton, G.F. A Two-Step Approach for Transforming Continuous Variables to Normal: Implications and Recommendations for IS Research. Commun. Assoc. Inf. Syst. 2011, 28. [Google Scholar] [CrossRef] [Green Version]
  24. Mistry, S.K.; Puthussery, S. Risk factors of overweight and obesity in childhood and adolescence in South Asian countries: A systematic review of the evidence. Public Health 2015, 129, 200–209. [Google Scholar] [CrossRef]
  25. Brown, T.; Moore, T.H.; Hooper, L.; Gao, Y.; Zayegh, A.; Ijaz, S.; Elwenspoek, M.; Foxen, S.C.; Magee, L.; O’Malley, C.; et al. Interventions for preventing obesity in children. Cochrane Database Syst. Rev. 2019. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. D’Hondt, E.; Deforche, B.; Gentier, I.; De Bourdeaudhuij, I.; Vaeyens, R.; Philippaerts, R.; Lenoir, M. A longitudinal analysis of gross motor coordination in overweight and obese children versus normal-weight peers. Int. J. Obes. 2013, 37, 61–67. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Sofi, F. Mediterranean diet and non-alcoholic fatty liver disease: New therapeutic option around the corner? World J. Gastroenterol. 2014, 20, 7339. [Google Scholar] [CrossRef] [PubMed]
  28. Iaccarino Idelson, P.; Scalfi, L.; Valerio, G. Adherence to the Mediterranean Diet in children and adolescents: A systematic review. Nutr. Metab. Cardiovasc. Dis. 2017, 27, 283–299. [Google Scholar] [CrossRef]
  29. Shi, X.; Tubb, L.; Fingers, S.T.; Chen, S.; Caffrey, J.L. Associations of Physical Activity and Dietary Behaviors With Children’s Health and Academic Problems. J. Sch. Health 2013, 83, 1–7. [Google Scholar] [CrossRef]
  30. Kelishadi, R.; Ardalan, G.; Gheiratmand, R.; Gouya, M.M.; Razaghi, E.M.; Delavari, A.; Majdzadeh, R.; Heshmat, R.; Motaghian, M.; Barekati, H.; et al. Association of physical activity and dietary behaviours in relation to the body mass index in a national sample of Iranian children and adolescents: CASPIAN Study. Bull. World Health Organ. 2007, 85, 19–26. [Google Scholar] [CrossRef]
  31. Chacón-Cuberos, R.; Zurita-Ortega, F.; Martínez-Martínez, A.; Olmedo-Moreno, E.; Castro-Sánchez, M. Adherence to the Mediterranean Diet Is Related to Healthy Habits, Learning Processes, and Academic Achievement in Adolescents: A Cross-Sectional Study. Nutrients 2018, 10, 1566. [Google Scholar] [CrossRef] [Green Version]
  32. Ortega, F.B.; Ruiz, J.R.; Labayen, I.; Lavie, C.J.; Blair, S.N. The Fat but Fit paradox: What we know and don’t know about it. Br. J. Sports Med. 2018, 52, 151–153. [Google Scholar] [CrossRef]
  33. García-Hermoso, A.; Ramírez-Vélez, R.; Saavedra, J.M. Exercise, health outcomes, and pædiatric obesity: A systematic review of meta-analyses. J. Sci. Med. Sport 2019, 22, 76–84. [Google Scholar] [CrossRef]
  34. Kumar, S.; Kelly, A.S. Review of Childhood Obesity: From Epidemiology, Etiology, and Comorbidities to Clinical Assessment and Treatment. Mayo Clin. Proc. 2017, 92, 251–265. [Google Scholar] [CrossRef] [Green Version]
  35. Bleich, S.N.; Vercammen, K.A.; Zatz, L.Y.; Frelier, J.M.; Ebbeling, C.B.; Peeters, A. Interventions to prevent global childhood overweight and obesity: A systematic review. Lancet Diabetes Endocrinol. 2018, 6, 332–346. [Google Scholar] [CrossRef]
  36. Wells, J.C.; Fuller, N.J.; Dewit, O.; Fewtrell, M.S.; Elia, M.; Cole, T.J. Four-component model of body composition in children: Density and hydration of fat-free mass and comparison with simpler models. Am. J. Clin. Nutr. 1999, 69, 904–912. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Moderating effect of adiposity on physical activity through adherence to the Mediterranean diet in schoolchildren. Estimated mean (colored lines) represent values for different conditional effects (+1 SD, mean, and −1 SD) in adherence to the Mediterranean diet, after adjustment for sex, age, type of schooling, and area of residence.
Figure 1. Moderating effect of adiposity on physical activity through adherence to the Mediterranean diet in schoolchildren. Estimated mean (colored lines) represent values for different conditional effects (+1 SD, mean, and −1 SD) in adherence to the Mediterranean diet, after adjustment for sex, age, type of schooling, and area of residence.
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Figure 2. Regression slope estimation and 95% confidence intervals for the association between moderator variable (adherence to the Mediterranean diet) and the negative effect of adiposity on physical activity, according to the Johnson–Neyman method. The negative area of statistical significance at moderator value (KIDMED score of ≤3.8) is shown by the red line. The positive area of statistical significance at moderator value (KIDMED score of ≥9.3) is shown by the blue line. The neutral area of statistical significance is shown by the black line.
Figure 2. Regression slope estimation and 95% confidence intervals for the association between moderator variable (adherence to the Mediterranean diet) and the negative effect of adiposity on physical activity, according to the Johnson–Neyman method. The negative area of statistical significance at moderator value (KIDMED score of ≤3.8) is shown by the red line. The positive area of statistical significance at moderator value (KIDMED score of ≥9.3) is shown by the blue line. The neutral area of statistical significance is shown by the black line.
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Table 1. Main characteristics of the analyzed sample according to sex.
Table 1. Main characteristics of the analyzed sample according to sex.
VariablesBoys (n = 204)Girls (n = 166)p
Age (years)8.81.88.51.80.084
Type of schooling
Urban15877.512474.70.310
Rural4622.54225.3
Area of residence
Public13968.110831.90.303
Private *6531.95834.9
Weight (kg)36.4110.7534.911.100.178
Height (cm)1.370.111.340.120.020
BMI (kg/m2)19.083.5419.023.930.888
Summary of skinfolds (mm)56.7024.5261.9824.820.041
BF (kg)11.085.7911.286.100.745
BF (%)25.949.2727.667.670.051
PAQ-C (score)2.210.492.080.420.005
KIDMED (score)6.12.16.32.00.476
Data indicated as mean and standard deviation (continuous variables) or numbers and frequencies (categorical variables). BMI: Body mass index; BF: Body fat; WC: waist circumference. * Private with public funds.
Table 2. Various regression models estimating effects for physical activity.
Table 2. Various regression models estimating effects for physical activity.
Predictors PAQ-C (Score) (Y)
Model 1Model 2Model 3Model 4
B (SE)95% CIβB (SE)95% CIβB (SE)95% CIβB (SE)95% CIβ
BF (%) (X)b10.002 (0.003)−0.005, 0.0090.030---−0.021 * (0.010)−0.443, −0.0060.030−0.024 * (0.010)−0.043, −0.005−0.011
KIDMED (score) (W)b2---0.045 ** (0.011)0.023, 0.0680.205−0.066 (0.048)−0.161, 0.0290.195−0.059 (0.046)−0.150, 0.0320.228
Interaction (X × W)b3------0.004 * (0.002)0.001, 0.0070.1190.004 * (0.002)0.001, 0.0070.122
Sexu1---------−0.137 * (0.046)−0.227, −0.047−0.148
Ageu2---------0.056 ** (0.013)0.030, 0.0820.215
Type of schoolingu3 063 (0.052)−0.040, 0.1670.065
Area of residenceu4 0.159 * (0.058)0.046, 0.2730.147
ConstantiY2.094 ** (0.103)1.892, 2.295-1.870 ** (0.074)1.725, 2.015-2.505 ** (0.317)1.881, 3.128-1.974 ** (0.356)1.273, 2.674-
Data expressed as unstandardized coefficients (standard error—SE), 95% confidence intervals (CIs), and standardized coefficients. Models 1, 2 and 3 are unadjusted; Model 4 is adjusted by sex, age type of schooling, and area of residence. BF: body fat. * p ≤ 0.050; ** p ≤ 0.001.

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López-Gil, J.F.; García-Hermoso, A.; Gomes Sentone, R.; Israel Caetano, C.; Renato Cavichiolli, F.; Yuste Lucas, J.L. Influence of Adiposity on Physical Activity in Schoolchildren: The Moderator Role of Adherence to the Mediterranean Diet. Sustainability 2020, 12, 6474. https://doi.org/10.3390/su12166474

AMA Style

López-Gil JF, García-Hermoso A, Gomes Sentone R, Israel Caetano C, Renato Cavichiolli F, Yuste Lucas JL. Influence of Adiposity on Physical Activity in Schoolchildren: The Moderator Role of Adherence to the Mediterranean Diet. Sustainability. 2020; 12(16):6474. https://doi.org/10.3390/su12166474

Chicago/Turabian Style

López-Gil, José Francisco, Antonio García-Hermoso, Rafael Gomes Sentone, Cristiano Israel Caetano, Fernando Renato Cavichiolli, and Juan Luis Yuste Lucas. 2020. "Influence of Adiposity on Physical Activity in Schoolchildren: The Moderator Role of Adherence to the Mediterranean Diet" Sustainability 12, no. 16: 6474. https://doi.org/10.3390/su12166474

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