Dietary and Sedentary Behavior in Children and Adolescents
1. Introduction
2. Dietary Behavior in Children and Adolescents
3. Sedentary Behavior and Its Implications for Children’s Health
4. Main Results of the Previous Studies
- Determinants of Diet Quality in Adolescents: Results from the Prospective Population-Based EVA-Tyrol and EVA4YOU Cohorts [2]. This study investigated diet quality and its determinants in adolescents from two European cohorts. The results showed that only 8% of the adolescents met the recommended vegetable intake, while a significant proportion exceeded the recommended intakes of sodium and red and processed meats. A better diet quality was found to be associated with being female, engaging in regular physical activity, having attained a higher level of education, and possessing greater nutritional knowledge. These findings highlight the need for targeted interventions to improve the quality of adolescents’ diets.
- Impact of the Family Environment on the Frequency of Animal-Based Product Consumption in School-Aged Children in Central Poland [4]. While the specific details of this study were not found in the available sources, similar research has shown that the family environment significantly influences children’s eating habits, with one such factor including the frequency of animal-based product consumption.
- Ultra-Processed Food vs. Fruit and Vegetable Consumption Before and During the COVID-19 Pandemic Among Greek and Swedish Students [5]. No specific details were found regarding this study in the available sources; however, previous research has indicated that the COVID-19 pandemic affected students’ eating habits, leading to an increase in their ultra-processed food consumption and a decrease in their fruit and vegetable intake.
- Pilot Study on Satisfaction in Children and Adolescents After a Comprehensive Educational Program on Healthy Habits [6]. This study evaluated the “MotivACTION” educational program, which was designed to promote healthy habits among children and adolescents. The participants, aged 8 to 14, reported their high level of satisfaction with the program. Additionally, as a result of the program, they demonstrated the ability to create healthy menus, indicating a practical understanding of the concepts that they had been taught.
- Intuitive Eating Behaviour Among Young Malay Adults in Malaysian Higher Learning Institutions [3]. This study examined the intuitive eating behaviors of 367 young Malay adults. The findings indicated that greater engagement in intuitive eating was associated with a lower prevalence of obesity, fewer restrictive diets, healthier weight control behaviors, and fewer binge-eating episodes. Gender differences were identified in the responses to certain intuitive eating subscales, and there was a significant relationship between weight control behaviors, binge-eating episodes, and dieting.
- A Systematic Review of Healthy Nutrition Intervention Programs in Kindergarten and Primary Education [1]. While the specific details of this review were not found in the available sources, similar studies have emphasized the effectiveness of early nutrition intervention programs in promoting healthy eating habits and preventing childhood obesity.
5. Conclusions and Future Perspectives
Conflicts of Interest
References
- Collado-Soler, R.; Alférez-Pastor, M.; Torres, F.L.; Trigueros, R.; Aguilar-Parra, J.M.; Navarro, N. A Systematic Review of Healthy Nutrition Intervention Programs in Kindergarten and Primary Education. Nutrients 2023, 15, 541. [Google Scholar] [CrossRef] [PubMed]
- Mueller, K.; Messner, A.; Nairz, J.; Winder, B.; Staudt, A.; Stock, K.; Gande, N.; Hochmayr, C.; Bernar, B.; Pechlaner, R.; et al. Determinants of Diet Quality in Adolescents: Results from the Prospective Population-Based EVA-Tyrol and EVA4YOU Cohorts. Nutrients 2023, 15, 5140. [Google Scholar] [CrossRef]
- Muhammad, R.; Ismail, W.N.D.R.a.W.; Firdus, S.; Abdul Hamid, S.B.; Mohd Asmawi, U.M.; Md Nor, N. Intuitive Eating Behaviour among Young Malay Adults in Malaysian Higher Learning Institutions. Nutrients 2023, 15, 869. [Google Scholar] [CrossRef]
- Pałkowska-Goździk, E.; Zadka, K.; Rosołowska-Huszcz, D. Impact of the Family Environment on the Frequency of Animal-Based Product Consumption in School-Aged Children in Central Poland. Nutrients 2023, 15, 2781. [Google Scholar] [CrossRef]
- Belando-Pedreño, N.; Blanco-García, M.E.; Chamorro, J.L.; García-Martí, C. Pilot Study on Satisfaction in Children and Adolescents after a Comprehensive Educational Program on Healthy Habits. Nutrients 2023, 15, 1161. [Google Scholar] [CrossRef] [PubMed]
- Dhammawati, F.; Fagerberg, P.; Diou, C.; Mavrouli, I.; Koukoula, E.; Lekka, E.; Stefanopoulos, L.; Maglaveras, N.; Heimeier, R.; Karavidopoulou, Y.; et al. Ultra-Processed Food vs. Fruit and Vegetable Consumption before and during the COVID-19 Pandemic among Greek and Swedish Students. Nutrients 2023, 15, 2321. [Google Scholar] [CrossRef] [PubMed]
- Stroebele, N.; De Castro, J.M. Effect of ambience on food intake and food choice. Nutrition 2004, 20, 821–838. [Google Scholar] [CrossRef]
- De Graaf, C.; Kok, F.J. Slow food, fast food and the control of food intake. Nat. Rev. Endocrinol. 2010, 6, 290–293. [Google Scholar] [CrossRef]
- Zheng, N.; Wang, Q.; Zhang, X.; Zheng, D.; Zhang, Z.; Zhang, S. Population health risk due to dietary intake of heavy metals in the industrial area of Huludao city, China. Sci. Total Environ. 2007, 387, 96–104. [Google Scholar] [CrossRef]
- He, K.; Merchant, A.; Rimm, E.B.; Rosner, B.A.; Stampfer, M.J.; Willett, W.C.; Ascherio, A. Dietary fat intake and risk of stroke in male US healthcare professionals: 14 year prospective cohort study. BMJ 2003, 327, 777–782. [Google Scholar] [CrossRef]
- Myhre, J.B.; Løken, E.B.; Wandel, M.; Andersen, L.F. Eating location is associated with the nutritional quality of the diet in Norwegian adults. Public Health Nutr. 2014, 17, 915–923. [Google Scholar] [PubMed]
- Smith, D.; Cummins, S.; Clark, C.; Stansfeld, S. Does the local food environment around schools affect diet? Longitudinal associations in adolescents attending secondary schools in East London. BMC Public Health 2013, 13, 70. [Google Scholar] [CrossRef]
- Sweeting, H.; West, P. Dietary habits and children’s family lives. J. Hum. Nutr. Diet. 2005, 18, 93–97. [Google Scholar] [CrossRef]
- Delfino, L.D.; Tebar, W.R.; Silva DA, S.; Gil FC, S.; Mota, J.; Christofaro DG, D. Food advertisements on television and eating habits in adolescents: A school-based study. Rev. Saude Publica 2020, 54, 55. [Google Scholar] [PubMed]
- Costa, S.M.M.; Horta, P.M.; dos Santos, L.C. Food advertising and television exposure: Influence on eating behavior and nutritional status of children and adolescents. Arch. Latinoam. Nutr. 2012, 62, 60–67. [Google Scholar]
- de Faria Coelho-Ravagnani, C.; Corgosinho, F.C.; Sanches FL, F.Z.; Prado CM, M.; Laviano, A.; Mota, J.F. Dietary recommendations during the COVID-19 pandemic. Nutr. Rev. 2021, 79, 382–393. [Google Scholar] [PubMed]
- Moreno, L.A.; Rodriguez, G.; Fleta, J.; Bueno-Lozano, M.; Lazaro, A.; Bueno, G. Trends of dietary habits in adolescents. Crit. Rev. Food Sci. Nutr. 2010, 50, 106–112. [Google Scholar] [PubMed]
- Trigueros, R.; García-Mas, A. Psychological well-being, resilience, self-determination and grit: The ‘novelty’ role in physical education classes. Br. J. Educ. Psychol. 2025. [Google Scholar] [CrossRef]
- Braune, T.; Kudlek, L.; Xiao, C.; Tang, H.; Demers-Potvin, É.; Harris, H.A.; Fitzsimons-West, E.; Adams, J.; Winpenny, E.M. Interpersonal determinants of diet quality and eating behaviors in people aged 13–30 years: A systematic scoping review. Obes. Rev. 2025, 26, e13835. [Google Scholar] [CrossRef]
- Kounnavong, T.; Sato, M.; Turner, C.; Ferguson, E.; Xayavong, H.; Vonglokham, M.; Cox, S.E.; Okumura, J.; Moji, K. Drivers of food acquisition practices among adolescents in suburban food environments of Lao People’s Democratic Republic. Glob. Health Action 2025, 18, 2451475. [Google Scholar]
- Berchialla, P.; Canale, N.; Kilibarda, B.; Comoretto, R.I.; Alexandrova-Karamanova, A.; Baška, T.; Bogt, T.T.; Vieno, A.; Charrier, L. Self-perceived impact of COVID-19 and risk behaviors among adolescents: Results from the HBSC 2021/22 study in 21 European countries. Addict. Behav. 2025, 163, 108238. [Google Scholar] [PubMed]
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Trigueros, R.; Aguilar-Parra, J.M. Dietary and Sedentary Behavior in Children and Adolescents. Nutrients 2025, 17, 1178. https://doi.org/10.3390/nu17071178
Trigueros R, Aguilar-Parra JM. Dietary and Sedentary Behavior in Children and Adolescents. Nutrients. 2025; 17(7):1178. https://doi.org/10.3390/nu17071178
Chicago/Turabian StyleTrigueros, Rubén, and Jose M. Aguilar-Parra. 2025. "Dietary and Sedentary Behavior in Children and Adolescents" Nutrients 17, no. 7: 1178. https://doi.org/10.3390/nu17071178
APA StyleTrigueros, R., & Aguilar-Parra, J. M. (2025). Dietary and Sedentary Behavior in Children and Adolescents. Nutrients, 17(7), 1178. https://doi.org/10.3390/nu17071178