Hostname: page-component-84c44f86f4-t57w2 Total loading time: 0 Render date: 2025-10-14T17:33:27.123Z Has data issue: false hasContentIssue false

Food consumption and weight status among Brazilian adolescents: national surveys 2008 and 2018

Published online by Cambridge University Press:  22 August 2025

Beatriz Guimarães Lemos Barde*
Affiliation:
Institute of Social Medicine/State University of Rio de Janeiro, Rio de Janeiro, Brazil
Ilana Nogueira Bezerra
Affiliation:
State University of Ceará, Fortaleza, Brazil
Rosely Sichieri
Affiliation:
Institute of Social Medicine/State University of Rio de Janeiro, Rio de Janeiro, Brazil
*
Corresponding author: Beatriz Guimarães Lemos Barde; Email: lemosbeatriz@outlook.com

Abstract

To evaluate changes in dietary consumption and weight status of Brazilian adolescents. Data from the Brazilian National Dietary Survey of 2008–2009 and 2017–2018 were analysed, including food consumption and anthropometric data from 7425 adolescents (ages 10–19) in 2008–2009 and 8264 in 2017–2018. Foods were categorised into seventeen groups. Weight status was estimated using BMI-for-age-and-sex classification. Differences in mean consumption were assessed using linear regression adjusted for caloric intake and sex. Consumption was analysed by sex and income level, with analyses conducted in SAS, accounting for the sample design. Among boys aged 10–14, underweight rose from 2·3 to 4·5 %, obesity from 7·4 to 15·1 % and severe obesity from 0·7 to 2·1 %; normal weight fell from 67·4 to 50·7 %. Among girls, overweight increased (19·7–28·0 %), and normal weight decreased (69·5–57·5 %). Rice intake declined in all groups (e.g. –66 g/d in older boys). In younger boys, fruit (–18 g/d), coffee (–34 ml/d) and sweets (–21 g/d) decreased. Older boys showed reduced dairy products (–55 g/d) and increased fast food (+22 g/d). In older girls, fruit (–20 g/d), dairy products (–59 g/d) and sugary drinks (–90 ml/d) declined. Fast food rose only among those earning ≤ 0·5 minimum wage (+17 g/d). Over the decade, dietary quality worsened, and anthropometric indicators deteriorated. Income influenced consumption shifts, notably among low-income adolescents. Policies should promote healthy eating and limit ultra-processed food, especially for lower-income groups and boys.

Information

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of the Nutrition Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Delisle, H & World Health Organization (2005) Nutrition in Adolescence: Issues and Challenges for the Health Sector: Issues in Adolescent Health and Development. Geneva: WHO. p. 115.Google Scholar
Monge, A, Canella, DS, López-Olmedo, N, et al. (2021) Ultraprocessed beverages and processed meats increase the incidence of hypertension in Mexican women. Br J Nutr 126, 600611.CrossRefGoogle ScholarPubMed
Lane, MM, Davis, JA, Beattie, S, et al. (2021) Ultraprocessed food and chronic noncommunicable diseases: a systematic review and meta-analysis of 43 observational studies. Obes Rev 22, e13146.CrossRefGoogle ScholarPubMed
Lisbôa Conde, WI, Medeiros da Silva Mazzeti, CI, Cumpian Silva, JI, et al. (2018) Nutritional status of Brazilian schoolchildren: National Adolescent School-based Health Survey 2015. Rev Bras Epidemiol 21, e180008.Google Scholar
IBGE (2016) Brazilian Institute of Geography and Statistics. National School Health Survey 2015. Rio de Janeiro: IBGE. p. 132.Google Scholar
De Moura Souza, A, Barufaldi, LA, De Azevedo Abreu, G, et al. (2016) ERICA: intake of macro and micronutrients of Brazilian adolescents. Rev Saude Publica 50, 1s15s.Google Scholar
Instituto Brasileiro de Geografia e Estatística, Diretoria de Pesquisas & Coordenação de Trabalho e Rendimento (2011) Pesquisa de Orçamentos Familiares: 2008–2009: análise do consumo alimentar pessoal no Brasil (Household Budget Survey: 2008–2009: Analysis of Personal Food Consumption in Brazil). Rio de Janeiro: IBGE. http://biblioteca.ibge.gov.br/visualizacao/livros/liv50063.pdf (accessed 08 June 2023).Google Scholar
Instituto Brasileiro de Geografia e Estatística, Diretoria de Pesquisas & Coordenação de Trabalho e Rendimento (2020) Pesquisa de Orçamentos Familiares: 2017–2018: análise do consumo alimentar pessoal no Brasil (Household Budget Survey: 2017–2018: Analysis of Personal Food Consumption in Brazil). Rio de Janeiro: IBGE. pp. 983–987. https://biblioteca.ibge.gov.br/visualizacao/livros/liv101742.pdf (accessed 08 June 2023).Google Scholar
Onis, M, Onyango, AW, Borghi, E, et al. (2007) Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 85, 660667.CrossRefGoogle ScholarPubMed
Monteiro, LZ, Varela, AR, Lira, BA, et al. (2019) Weight status, physical activity and eating habits of young adults in Midwest Brazil. Public Health Nutr 22, 26092616.CrossRefGoogle ScholarPubMed
Rodrigues, LSC, Beserra, JB, Sousa, CB, et al. (2022) Excesso de peso em adolescentes piauienses acompanhados pelo Sistema de Vigilância Alimentar e Nutricional (Overweight in Piauí adolescents monitored by the food and nutrition surveillance system). Rev SUSTINERE 10, 591607.Google Scholar
Bloch, KV, Klein, CH, Szklo, M, et al. (2016) ERICA: prevalences of hypertension and obesity in Brazilian adolescents. Rev Saude Publica 50, 1s12s.CrossRefGoogle ScholarPubMed
Cunha, DB, De Almeida, RMVR, Sichieri, R, et al. (2010) Association of dietary patterns with BMI and waist circumference in a low-income neighbourhood in Brazil. Br J Nutr 104, 908913.CrossRefGoogle Scholar
Cunha, DB, Bezerra, IN, Pereira, RA, et al. (2018) At-home and away-from-home dietary patterns and BMI z-scores in Brazilian adolescents. Appetite 120, 374380.CrossRefGoogle ScholarPubMed
Sichieri, R (2002) Dietary patterns and their associations with obesity in the Brazilian City of Rio de Janeiro. Obes Res 10, 4248.CrossRefGoogle ScholarPubMed
Ferreira, ACM, Silva, AG, Gomide Nogueira de Sá, AC, et al. (2022) Fatores de risco e proteção para as doenças crônicas não transmissíveis entre escolares brasileiros: Pesquisa Nacional de Saúde do Escolar 2015 e 2019 (Risk and protective factors for non-communicable diseases among Brazilian schoolchildren: National School Health Survey 2015 and 2019). REME-Revista Mineira Enfermagem (Internet) 26, e1451.CrossRefGoogle Scholar
Rodríguez-Ramírez, S, García-Chávez, CG, Flores-Aldana, M, et al. (2020) Dietary patterns are associated with obesity in Mexican schoolchildren. Eur J Clin Nutr 74, 12341242.Google Scholar
Olivares, S, Pacheco, V, Lera, L, et al. (2020) Dietary patterns and excess weight among Chilean adolescents: a cross-sectional study. Nutrients 12, 2083.Google Scholar
Shrewsbury, VA, Wood, CT, Moxham, L, et al. (2025) Trajectories of adherence to an obesogenic dietary pattern and changes in diet quality, food intake and adiposity during adolescence. Nutr J 24, 14.Google Scholar
Levy, RB, Andrade, GC, da Cruz, GL, et al. (2022) Three decades of household food availability according to NOVA – Brazil, 1987–2018. Rev Saude Publica 56, 75.CrossRefGoogle ScholarPubMed
Vigitel (2022) Estimativas sobre frequência e distribuição sociodemográfica do estado nutricional e consumo alimentar nas capitais dos 26 estados brasileiros e no distrito federal entre 2006 e 2021 (Estimates on the Frequency and Sociodemographic Distribution of Nutritional Status and Food Consumption in the Capitals of the 26 Brazilian States and the Federal District Between 2006 and 2021). –http://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2006–2021_estado_nutricional.pdf (accessed March 2023).Google Scholar
Ruiz-Roso, MB, de Carvalho Padilha, P, Mantilla-Escalante, DC, et al. (2020) Covid-19 confinement and changes of adolescent’s dietary trends in Italy, Spain, Chile, Colombia and Brazil. Nutrients 12, 1807.CrossRefGoogle ScholarPubMed
Malta, DC, Gomes, CS, Barros, MBA, et al. (2021) The COVID-19 pandemic and changes in the lifestyles of Brazilian adolescents. Rev Bras Epidemiol 24, e210012.CrossRefGoogle Scholar
Rodrigues, PRM, Monteiro, LS, Cunha, DB, et al. (2020) Adult food consumption by household composition: an analysis of the first National Dietary Survey, Brazil, 2008–2009. Public Health Nutr (Internet) 23, 193201.CrossRefGoogle Scholar
Sousa, LRM, Segall-Corrêa, AM, Saint Ville, A, et al. (2019) Food security status in times of financial and political crisis in Brazil. Cadernos Saúde Pública 35, e00084118.CrossRefGoogle ScholarPubMed
Mescoloto, SB, Pongiluppi, G & Domene, SMA (2024) Ultra-processed food consumption and children and adolescents’ health. J Pediatr (Rio J) 100, S708.CrossRefGoogle ScholarPubMed
Silva, DFO, Lyra, CO & Lima, SCVC (2016) Dietary habits of adolescents and associated cardiovascular risk factors: a systematic review. Ciência Saúde Coletiva 21, 11811196.CrossRefGoogle ScholarPubMed
Wu, XY, Han, LH, Zhang, JH, et al. (2017) The influence of physical activity, sedentary behavior on health-related quality of life among the general population of children and adolescents: a systematic review. PLoS One 12, e0187668.CrossRefGoogle ScholarPubMed
Lima, LR, Nascimento, LM, Gomes, KRO, et al. (2020) Associação entre o consumo de alimentos ultraprocessados e parâmetros lipídicos em adolescentes (Association between the consumption of ultra-processed foods and lipid parameters in adolescents). Cien Saude Colet (Internet) 25, 40554064.CrossRefGoogle Scholar
Louzada, ML, Steele, EM, Rezende, LFM, et al. (2022) Changes in obesity prevalence attributable to ultra-processed food consumption in Brazil between 2002 and 2009. Int J Public Health (Internet) 67, 1604103.CrossRefGoogle ScholarPubMed
D’avila, HF & Kirsten, VR (2017) Energy intake from ultra-processed foods among adolescents. Revista Paulista de Pediatria (Internet) 35, 54.Google Scholar
De Lacerda, AT, Do Carmo, AS, De Sousa, TM, et al. (2023) NOVA food groups’ consumption associated with nutrient intake profile of school children aged 8–12 years. Public Health Nutr (Internet) 26, 5662.CrossRefGoogle ScholarPubMed
de Sousa, SF, Wolf, VLW, Martini, MCS, et al. (2020) Frequency of meals consumed by Brazilian adolescents and associated habits: systematic review. Rev Paulista Pediatria 38, e2018363.CrossRefGoogle Scholar
Neta, ACPA, Steluti, J, de Lima, FELF, et al. (2021) Dietary patterns among adolescents and associated factors: longitudinal study on sedentary behavior, physical activity, diet and adolescent health. Cienc e Saude Coletiva 26, 38393851.CrossRefGoogle ScholarPubMed
Danubio, ME, Miranda, G, Vinciguerra, MG, et al. (2008) Comparison of self-reported and measured height and weight: implications for obesity research among young adults. Econ Hum Biol 6, 181190.CrossRefGoogle ScholarPubMed
Conde, WL, Oliveira, DR, Borges, CA, et al. (2013) Consistência entre medidas antropométricas em inquéritos nacionais (Consistency of anthropometric measurements in national surveys). Rev Saude Publica (Internet) 47, 6976.CrossRefGoogle Scholar
Moreira, NF, Luz, VG, Moreira, CC, et al. (2018) Self-reported weight and height are valid measures to determine weight status: results from the Brazilian National Health Survey (PNS 2013). Cad Saude Publica 34, e00063917.CrossRefGoogle ScholarPubMed
De Farias, JC (2007) Validade das medidas auto-referidas de peso e estatura para o diagnóstico do estado nutricional de adolescentes (Validity of self-reported weight and height measurements for diagnosing nutritional status in adolescents). Revista Brasileira de Saúde Materno Infantil (Internet) 7, 167174.CrossRefGoogle Scholar
Supplementary material: File

Barde et al. supplementary material 1

Barde et al. supplementary material
Download Barde et al. supplementary material 1(File)
File 53.1 KB
Supplementary material: File

Barde et al. supplementary material 2

Barde et al. supplementary material
Download Barde et al. supplementary material 2(File)
File 45.5 KB