Avaliação da frequência alimentar, perfil nutricional e antropométrico de adolescentes

Palavras-chave: Adolescente, Desjejum, Estado nutricional

Resumo

To evaluate food frequency and verify the association with nutritional and anthropometric profile in adolescents. Sociodemographic and anthropometric data were collected, as well as a three-day food record to identify food frequency, whether or not breakfast was served and the average consumption of dairy products and ultra-processed foods. Sixty-three adolescents aged 14 to 16 years, mostly females (61.9%), participated in the study. In none of the associations it was possible to identify significant differences, however it was observed: consumption of ≥4 meals a day present in 60.3% of the adolescents, being linked to overweight; low consumption of dairy products in both genders and high consumption of ultra-processed foods among younger people. The breakfast variable did not establish an association with the nutritional status of the sample. There was no relation found between food frequency and the nutritional and anthropometric profile in adolescents. However, further studies should be encouraged.

Biografia do Autor

Suélen Zampieri Reginato, Centro Universitário da Serra Gaúcha - FSG
Departamento de Nutrição, Curso de Graduação de Nutrição, Centro Universitário da Serra Gaúcha (FSG), Caxias do Sul (RS), Brasil
Priscila Berti Zanella, Universidade Federal do Rio Grande do Sul - UFRGS
Departamento de Nutrição, Curso de Pós-Graduação em Ciências Pneumológicas, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre (RS), Brasil
Ana Lúcia Hoefel, Centro Universitário da Serra Gaúcha - FSG
Departamento de Nutrição, Curso de Graduação de Nutrição, Centro Universitário da Serra Gaúcha (FSG), Caxias do Sul (RS), Brasil

Referências

1. Crescente CL, Rizzardi KF, Indiani CMS, Rodrigues LKA, Parisotto TM. Prevalência de obesidade infantil: há motivo de preocupação? Saúde e Pesqui. 2021; 14(3):489-497. doi: 10.17765/2176-9206.2021v14n3e8606

2. World Health Organization (WHO). Physical status: the use and interpretation of anthropometry. Geneva, 1995.

3. Ministério da Saúde. Orientações para a coleta e análise de dados antropométricos em serviços de saúde: Norma Técnica do Sistema de Vigilância Alimentar e Nutricional – SISVAN. Brasília, DF, 2011.

4. Rangel LFC, Teixeira FC, Pereira FEF, Jorge FS, Morales AP, Ribeiro BG. Status de peso de escolares: prevalência e combinação de excesso de peso e obesidade abdominal. Saúde e Pesqui. 2020;13:769–778. doi: 10.17765/2176-9206.2020v13n4p769-778

5. WHO - Woorld Health Organization. Obesity and overweight. 2021. 2021.https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight# (accessed 4 Jun2022).

6. Azadbakht L, Haghighatdoost F, Feizi A, Esmaillzadeh A. Breakfast eating pattern and its association with dietary quality indices and anthropometric measurements in young women in Isfahan. Nutrition. 2013;29(2):420–5. doi: 10.1016/j.nut.2012.07.008.

7. Lima LR, Nascimento LM, Gomes KRO, E Martins M do C de C, Rodrigues MTP, Frota K de MG. Association between ultra-processed food consumption and lipid parameters among adolescents. Ciênc. Saúde Colet. 2020;25(10):4055–4064. doi: 10.1590/1413-812320202510.24822018.

8. Nappo A, Sparano S, Intemann T, Kourides YA, Lissner L, Molnar D et al. Dietary calcium intake and adiposity in children and adolescents: Cross-sectional and longitudinal results from IDEFICS/I.Family cohort. Nutr Metab Cardiovasc Dis. 2019;29(5):440–449. doi: 10.1016/j.numecd.2019.01.015.

9. Pan K, Zhang C, Yao X, Zhu Z. Association between dietary calcium intake and BMD in children and adolescents. Endocr Connect. 2020;9(3):194–200. doi: 10.1530/EC-19-0534.

10. Monzani A, Ricotti R, Caputo M, Solito A, Archero F, Bellone S et al. A systematic review of the association of skipping breakfast with weight and cardiometabolic risk factors in children and adolescents. What should we better investigate in the future? Nutrients. 2019;11(2):387. doi: 10.3390/nu11020387.

11. Rodrigues PRM, Luiz RR, Monteiro LS, Ferreira MG, Gonçalves-Silva RMV, Pereira RA. Adolescents’ unhealthy eating habits are associated with meal skipping. Nutrition. 2017;42:114-120. doi: 10.1016/j.nut.2017.03.011.

12. Costa CDS, Sattamini IF, Steele EM, Louzada MLDC, Claro RM, Monteiro CA. Consumption of ultra-processed foods and its association with sociodemographic factors in the adult population of the 27 Brazilian state capitals (2019). Rev. saúde pública. 2021;55:1–9. doi: 10.11606/s1518-8787.2021055002833.

13. Sousa SF de, Wolf VLW, Martini MCS, Assumpção D de, Barros Filho AA de. Frequency of meals consumed by brazilian adolescents and associated habits: systematic review. Rev. Paul. Pediatr. 2020;38. doi: 10.1590/1984-0462/2020/38/2018363.

14. Silva FA, Candiá SM, Pequeno MS, Sartorelli DS, Mendes LL, Oliveira RMS et al. Daily meal frequency and associated variables in children and adolescents. J. Pediatr. (Rio J.). 2017;93(1):79–86. doi: 10.1016/j.jped.2016.04.008.

15. Ardeshirlarijani E, Namazi N, Jabbari M, Zeinali M, Gerami H, Jalili RB et al. The link between breakfast skipping and overweigh/obesity in children and adolescents: a meta-analysis of observational studies. J Diabetes Metab Disord. 2019;18(2):657–664. doi: 10.1007/s40200-019-00446-7.

16. Maravalhas R de A, Santana DD, Salles-Costa R, Veiga GV da. Mudanças na frequência do consumo de refeições em adolescentes residentes em área de vulnerabilidade social da região metropolitana do Rio de Janeiro, Brasil. Ciênc. Saúde Colet. 2022;27:387–398. doi: 10.1590/1413-81232022271.28092020.

17. Ribeiro AR de AB, Carvalho DF de, Cantaice A da SC, Simões MO da S, Teixeira A, Medeiros CCM. Association between breakfast omission and abdominal adiposity in low-income adolescents. Rev. Nutr. (Online). 2021; 34. doi: 10.1590/1678-9865202134e190245.

18. Ricotti R, Caputo M, Monzani A, Pigni S, Antoniotti V, Bellone S et al. Breakfast Skipping, Weight, Cardiometabolic Risk, and Nutrition Quality in Children and Adolescents: A Systematic Review of Randomized Controlled and Intervention Longitudinal Trials. Nutrients. 2021;13(10):3331. doi: 10.3390/nu13103331.

19. Souza MR de, Neves MEA, Souza A de M, Muraro AP, Pereira RA, Ferreira MG et al. Skipping breakfast is associated with the presence of cardiometabolic risk factors in adolescents: Study of Cardiovascular Risks in Adolescents – ERICA. Br J Nutr. 2021;126(2):276–284. doi: 10.1017/S0007114520003992.

20. Ferrer-Cascales R, Sánchez SanSegundo M, Ruiz Robledillo N, Albaladejo Blázquez N, Laguna Pérez A, Zaragoza Martí A. Eat or Skip Breakfast? The Important Role of Breakfast Quality for Health-Related Quality of Life, Stress and Depression in Spanish Adolescents. Int J Environ Res Public Health. 2018;15(8):1781. doi: 10.3390/ijerph15081781.

21. Lara M, Sisa I, Yepez MC. Breakfast skipping, nutritional status, and physical activity in a middle-aged Latin American population: a population-based study from Ecuador. Nutr Hospi. 2019;36(5):1123–1132. doi: 10.20960/nh.02393.

22. Fayet-Moore F, McConnell A, Cassettari T, Petocz P. Breakfast Choice Is Associated with Nutrient, Food Group and Discretionary Intakes in Australian Adults at Both Breakfast and the Rest of the Day. Nutrients. 2019;11(1):175. doi: 10.3390/nu11010175.

23. Monteiro LS, Rodrigues PRM, Veiga GV da, Marchioni DML, Pereira RA. Diet quality among adolescents has deteriorated: a panel study in Niterói, Rio de Janeiro State, Brazil, 2003-2008. Cad. Saúde Pública (Online). 2016;32(12). doi: 10.1590/0102-311X00124715.

24. Calleja M, Feitoza NC, Falk B, Klentrou P, Ward WE, Sullivan PJ et al. Increased dairy product consumption as part of a diet and exercise weight management program improves body composition in adolescent females with overweight and obesity - A randomized controlled trial. Pediatr Obes. 2020;15(12):e12690. doi: 10.1111/ijpo.12690.

25. Ministério da Saúde. Guia alimentar para a população Brasileira. 2nd ed. Brasilia, DF, 2014.

26. Khandpur N, Cediel G, Obando DA, Jaime PC, Parra DC. Sociodemographic factors associated with the consumption of ultra-processed foods in Colombia. Rev. saúde pública. 2020;54:19. doi: 10.11606/s1518-8787.2020054001176.

27. Melo ISV de, Costa CACB, Santos JVL dos, Santos AF dos, Florêncio TM de MT, Bueno NB. Consumption of minimally processed food is inversely associated with excess weight in adolescents living in an underdeveloped city. PLoS One. 2017;12(11):e0188401. doi: 10.1371/journal.pone.0188401.

28. Neri D, Martínez-Steele E, Khandpur N, Levy R. Associations Between Ultra-processed Foods Consumption and Indicators of Adiposity in US Adolescents: Cross-Sectional Analysis of the 2011-2016 National Health and Nutrition Examination Survey. J Acad Nutr Diet. 2022;122(8):1474-1487. doi: 10.1016/j.jand.2022.01.005.

29. Enes CC, Camargo CM de, Justino MIC. Ultra-processed food consumption and obesity in adolescents. Rev. Nutr. (Online). 2019;32:1–11. doi: 10.1590/1678-9865201932e180170.

30. Walker MS, Andrades C dos S de, Richrot TS, Closs VE, Gustavo A da S, Oliveira M da S et al. Intervenção interdisciplinar reduz o consumo de alimentos ultraprocessados em adolescentes com sobrepeso ou obesidade. Saúde e pesqui. 2022; 15(1). doi: 10.17765/2176-9206.2022v15n1.e9700 .

Publicado
2022-11-18
Seção
Artigos Originais