Dietary Behaviors and Physical Activity in Brazilian Adolescents: Prevalence and Associated Factors According to the National Survey of School Heath, 2015–2019
DOI:
https://doi.org/10.55892/jrg.v9i20.3170Keywords:
Adolescent, Healthy lifestyle, Sedentary behavior, Feeding behavior, Noncommunicable diseasesAbstract
Objective: To analyze the profile of dietary intake, physical activity, and associated factors among Brazilian adolescents. Methods: A cross-sectional study was conducted using data from the National Survey of School Health 2015 and 2019, including adolescents aged 13–17 years enrolled in public and private schools. The prevalence of adequacy for dietary markers, physical activity time, and overall lifestyle was estimated. Overall lifestyle was defined as the simultaneous adequacy of diet and physical activity time. Poisson regression models were used to estimate associations between dietary markers and physical activity time with sociodemographic and behavioral factors. Results: A 23.6% increase was observed in the adequacy of the low consumption of unhealthy foods marker, alongside a 20.0% reduction in the adequacy of the healthy eating marker. Adequacy of physical activity time decreased by 39.1% among females, whereas it increased by 26.9% among males. The prevalence of an adequate overall lifestyle remained below 5% in both years. Poorer dietary outcomes were associated with high daily screen time, eating meals during other digital activities, and non-adherence to school meals. Low physical activity time was associated with high daily screen time. Conclusion: There was a worsening of dietary habits and physical activity practice, with low adherence to an adequate overall lifestyle. These findings highlight the need for strategies aimed at promoting healthy habits and reducing behaviors associated with the development of chronic diseases in this age group.
Downloads
References
Tohi M, Lindsay Bay J, Tu’akoi S, Hedley Vickers M. The developmental origins of health and disease: adolescence as a critical lifecourse period to break the transgenerational cycle of ncds—a narrative review. Int J Environ Res Public Health. 2022; 19(10):6024. https://doi.org/10.3390/ijerph19106024.
Sbaraini M, Cureau FV, Ritter J do A, Schuh DS, Madalosso MM, Zanin G, et al. Prevalence of overweight and obesity among Brazilian adolescents over time: a systematic review and meta-analysis. Public Health Nutr. 2021; 24(18):6415–26. https://doi.org/10.1017/s1368980021001464.
Andrades C dos S, Poletti VV, Closs VE, Gustavo A da S, Oliveira M da S, Donadio MVF, et al. Prevalence of dyslipidemia, atherogenic and cardiovascular risk in overweight and obese adolescents. Rev Paul Pediatria. 2023; 41:e2021312. https://doi.org/10.1590/1984-0462/2023/41/2021312.
Deng L, Lu S, Zeng J, Liu H. Global, regional, and national trends and burden of diabetes mellitus type 2 among youth from 1990 to 2021: an analysis from the global burden of disease study 2021. Front Endocrinol (Lausanne). 2025; 16. https://doi.org/10.3389/fendo.2025.1626225.
Leech, R.M., McNaughton, S.A. & Timperio, A. The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review. Int J Behav Nutr Phys Act. 2014; 11 (4). https://doi.org/10.1186/1479-5868-11-4.
Monteiro CA, Levy RB, Claro RM, de Castro IRR, Cannon G. Increasing consumption of ultra-processed foods and likely impact on human health: evidence from Brazil. Public Health Nutr. 2010; 14(1):5–13. https://doi.org/10.1017/s1368980010003241.
Tremblay MS, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011; 8(1):98. https://doi.org/10.1186/1479-5868-8-98.
Gomes da Silva A, Philipe Rodrigues da Silva T, Carvalho Malta D. Factors associated with the dietary patterns of Brazilian adolescents: analysis of the national survey of school health. J Pediatr (Rio J). 2024; 101(2). https://doi.org/10.1016/j.jped.2024.09.006.
Condessa LA, Soares CA, Mielke GI, Malta DC, Caiaffa WT. Prevalência de adolescentes fisicamente ativos nas capitais brasileiras: Pesquisa Nacional de Saúde do Escolar 2012 e 2015. Rev bras epidemiol. 2018;21(suppl 1). https://doi.org/10.1590/1980-549720180012.supl.1.
Matias TS, Silva KS, Silva JA da, Mello GT de, Salmon J. Clustering of diet, physical activity and sedentary behavior among Brazilian adolescents in the national school - based health survey (PeNSE 2015). BMC Public Health. 2018; 18(1). https://doi.org/10.1186/s12889-018-6203-1.
Oliveira MM, Campos MO, Andreazzi MA, Malta DC, Oliveira MM, Campos MO, et al. Características da Pesquisa Nacional de Saúde do Escolar - PeNSE. Epidemiol Serv Saude. 2017; 26(3):605-16. https://doi.org/10.5123/S1679-49742017000300017.
Instituto Brasileiro de Geografia e Estatística. PeNSE - Pesquisa Nacional de Saúde do Escolar – O que é [Internet]. [acesso em 2026 fev 19]. Disponível em: https://www.ibge.gov.br/estatisticas/sociais/educacao/9134-pesquisa-nacional-de-saude-do-escolar.html?=&t=o-que-e.
Instituto Brasileiro de Geografia e Estatística. PeNSE - Pesquisa Nacional de Saúde do Escolar – Conceitos e Métodos [Internet]. [acesso em 2026 fev 19]. Disponível em: https://www.ibge.gov.br/estatisticas/sociais/educacao/9134-pesquisa-nacional-de-saude-do-escolar.html?=&t=conceitos-e-metodos.
Instituto Brasileiro de Geografia e Estatística; Coordenação de Indicadores Sociais. Pesquisa Nacional De Saúde Do Escolar: Análise De Indicadores Comparáveis Dos Escolares Do 9o Ano Do Ensino Fundamental: Municípios Das Capitais: 2009/2019 [Internet]. 2022 [acesso em 2026 fev 19]. Disponível em: https://biblioteca.ibge.gov.br/index.php/biblioteca-catalogo?view=detalhes&id=2101955.
Sociedade Brasileira de Pediatria; Grupo de Trabalho Saúde na Era Digital (Gestão de 2022-2024). #MENOS TELAS #MAIS SAÚDE - ATUALIZAÇÃO 2024 – [Internet]. 2024 [acesso em 2026 fev 19]. Disponível em: https://www.sbp.com.br/fileadmin/user_upload/24604c-MO__MenosTelas__MaisSaude-Atualizacao.pdf.
Chatelan A, Rouche M, Dzielska A, Lebacq T, Fismen A-S, Kelly C, et al. Time trends in consumption of sugar-sweetened beverages and related socioeconomic differences among adolescents in Eastern Europe: signs of a nutrition transition? Am J Clin Nutr. 2021; 114(4):1476–85. https://doi.org/10.1093/ajcn/nqab175.
Ghorbani Z, Noormohammadi M, Kazemi A, Poustchi H, Pourshams H, Martami F, et al. Higher intakes of fiber, total vegetables, and fruits may attenuate the risk of all-cause and cause-specific mortality: findings from a large prospective cohort study. Nutr J . 2023; 22(1). https://doi.org/10.1186/s12937-023-00883-4.
Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World health organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020; 54(24):1451–62. https://doi.org/10.1136/bjsports-2020-102955.
Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health. 2020; 4(1):23–35. https://doi.org/10.1016/s2352-4642(19)30323-2.
Van Ansem WJ, Schrijvers CT, Rodenburg G, van de Mheen D. Maternal educational level and children’s healthy eating behaviour: role of the home food environment (cross-sectional results from the INPACT study). Int J Behav Nutr Phys Act. 2014; 11(1). https://doi.org/10.1186/s12966-014-0113-0.
Muñoz-Galiano IM, Connor JD, Gómez-Ruano MA, Torres-Luque G. Influence of the parental educational level on physical activity in schoolchildren. Sustainability. 2020; 12(9):3920. https://doi.org/10.3390/su12093920.
Cárdenas-Fuentes G, Homs C, Ramírez-Contreras C, Juton C, Casas-Esteve R, Grau M, et al. prospective association of maternal educational level with child’s physical activity, screen time, and diet quality. Nutrients. 2021; 14(1):160. https://doi.org/10.3390/nu14010160.
Wu Y, Zeng X, Zhou Z, Wu S. Global trends in adolescent health inequalities and their social determinants: a bibliometric and scoping review. healthcare. 2026; 14(2):141. https://doi.org/10.3390/healthcare14020141.
Robinson TN. Screen media exposure and obesity in children and adolescents. Pediatrics. 2017; 140(Supplement 2):S97–101. https://doi.org/10.1542/peds.2016-1758k.
Horta PM, Carmo AS do, Junior EV, Santos LC dos. Consuming school meals improves Brazilian children’s diets according to their social vulnerability risk. Public Health Nutr. 2019; 22(14):2714–9. https://doi.org/10.1017/s1368980019001459.
Althubaiti A. Information bias in health research: Definition, pitfalls, and adjustment methods. J Multidiscip Healthc. 2016; 9(1):211–7. https://doi.org/10.2147/jmdh.s104807.
Maier C, Thatcher JB, Grover V, Dwivedi YK. Cross-sectional research: a critical perspective, use cases, and recommendations for IS research. International Journal of Information Management. 2023; 70(70):102625. https://doi.org/10.1016/j.ijinfomgt.2023.102625.
Silva LC, De Melo Vieira YL, Brandao CFC e C. Obesidade, frequência alimentar e nível de atividade física de crianças e adolescentes durante a pandemia de COVID-19: um estudo transversal. Revista de Educação Física / Journal of Physical Education. 2024; 92(2):290–8. https://doi.org/10.37310/ref.v92i2.2944.





































