Dinner meal pattern is associated with lower body mass index in university students
DOI:
https://doi.org/10.12957/demetra.2025.84395Palabras clave:
Dietary patterns. Meals. Body Mass Index. University Students.Resumen
Introduction: Entering university is a period marked by changes in lifestyle behaviors, including eating habits and weight status. Objective: This study aimed to analyze the association between dietary patterns for dinner and body mass index among university students. Methods: A cross-sectional study was carried out with 685 male and female university students. Demographic, socioeconomic, and lifestyle data were collected using a self-administered questionnaire. Food intake was assessed by 24-hour dietary recall. Three dietary patterns for dinner were identified in a previous study, using factor analysis with extraction by the principal component method. Dinner was defined as the meal consumed between 5 and 8 p.m. Weight and height were assessed in all students. A generalized linear model with the Gamma family and log link was used to estimate the association of dietary patterns for dinner with BMI, according to socioeconomic status. Results: Among the respondents, 50.1% were males, 78.8% were aged between 16 and 19 years old, and 33.4% had the lowest socioeconomic statuses (C-D-E). The analyses showed an inverse association of the traditional Brazilian dietary pattern for dinner with BMI for the lowest socioeconomic statuses (βaj= 0.93; 95% CI: 0.86;0.99). Conclusions: The dietary pattern for dinner which represented a traditional Brazilian meal, consisting of rice and beans, was associated with a lower BMI among students with lower socioeconomic statuses.
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1. Del Boca FK, Darkes J, Greenbaum PE, Goldman MS. Up close and personal: temporal variability in the drinking of individual college students during their first year. J Consult Clin Psychol. 2004;72(2):155-64. https://doi.org/10.1037/0022-006X.72.2.155.
2. Wagner GA, Andrade AG. Uso de álcool, tabaco e outras drogas entre https://doi.org/estudantes universitários brasileiros. ArchClinPsychiatry. 2008;35:48-54. https://doi.org/10.1590/S0101-60832008000700011.
3. Chamberllem SR, Gonçalves Ferreira M, Melo Rodrigues PR, Nogueira PS, Pereira RA, Muraro AP. Influence of sociodemographic and economic factors on physical activity among university students. Rev Bras PromoçSaúde. 2020;33:1-11. https://doi.org/10.5020/18061230.2020.10745.
4. Beaudry KM, Ludwa IA, Thomas AM, Ward WE, Falk B, Josse AR. First-year university is associated with greater body weight, body composition and adverse dietary changes in males than females. PLoSOne. 2019;14(7):e0218554. https://doi.org/10.1371/journal.pone.0218554.
5. Bernardo GL, Jomori MM, Fernandes AC, Proença RPC. Food intake of university students. Rev Nutr. 2017;30(6):847-65. https://doi.org/10.1590/1678-98652017000600016.
6. Vadeboncoeur C, Townsend N, Foster C. A meta-analysis of weight gain in first year university students: is freshman 15 a myth? BMC Obes. 2015;2:22. https://doi.org/10.1186/s40608-015-0051-7.
7. Fonseca LB, Pereira LP, Rodrigues PRM, Andrade ACS, Muraro AP, Gorgulho BM, et al. Food consumption on campus is associated with meal eating patterns among college students. Br J Nutr. 2021;126(1):53-65. https://doi.org/10.1017/S0007114520003761.
8. Santos RO, Fisberg RM, Marchioni DM, Baltar VT. Dietary patterns for meals of Brazilian adults. Br J Nutr. 2015;114(5):822-8. https://doi.org/10.1017/S0007114515002445.
9. Schwedhelm C, Iqbal K, Knüppel S, Schwingshackl L, Boeing H. Contribution to the understanding of how principal component analysis–derived dietary patterns emerge from habitual data on food consumption. Am J Clin Nutr. 2018;107(2):227-35. https://doi.org/10.1093/ajcn/nqx027.
10. Brasil. Ministério da Saúde. Guia alimentar para a população brasileira. 2ª ed. Brasília: Ministério da Saúde; 2014.
11. Yamamoto R, Tomi R, Shinzawa M, Yoshimura R, Ozaki S, Nakanishi K, et al. Associations of skipping breakfast, lunch, and dinner with weight gain and overweight/obesity in university students: a retrospective cohort study. Nutrients. 2021;13(1):271. https://doi.org/10.3390/nu13010271.
12. Fedewa MV, Das BM, Evans EM, Dishman RK. Change in weight and adiposity in college students: a systematic review and meta-analysis. Am J Prev Med. 2014;47(5):641-52. https://doi.org/10.1016/j.amepre.2014.07.035.
13. Sogari G, Velez-Argumedo C, Gómez MI, Mora C. College students and eating habits: a study using an ecological model for healthy behavior. Nutrients. 2018;10(12):1823. https://doi.org/10.3390/nu10121823.
14. Silva LB, Pereira LP, Fonseca LB, Rodrigues PRM, Muraro AP, Ferreira MG. Frequency of breakfast consumption is associated with anthropometric markers of body adiposity in university students. Rev Nutr. 2024;37:e240052. https://doi.org/10.1590/1678-9865202437e240052.
15. Brasil. Presidência da República. Decreto nº 7.234, de 19 de julho de 2010. Dispõe sobre o Programa Nacional de Assistência Estudantil - PNAES. Diário Oficial da União. 2010 jul 20; Seção 1:5.
16. Nogueira PS, Ferreira MG, Rodrigues PRM, Muraro AP, Pereira LP, Pereira RA. Longitudinal Study on the Lifestyle and Health of University Students (ELESEU): design, methodological procedures, and preliminary results. Cad Saúde Publica. 2018;34(4):e00145917. https://doi.org/10.1590/0102-311X00145917.
17. Associação Brasileira de Empresas de Pesquisa (ABEP). Critério de Classificação Econômica Brasil – CCEB. São Paulo: ABEP; 2015.
18. Moura EC, Malta DC. Consumo de bebidas alcoólicas na população adulta Brasileira: características sociodemográficas e tendência. Rev Bras Epidemiol. 2011;14(Suppl 1):61-70. https://doi.org/10.1590/S1415-790X2011000500007.
19. World Health Organization. Guidelines for controlling and monitoring the tobacco epidemic. Geneva: WHO; 1998.
20. World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010.
21. Hirshkowitz M, Whiton K, Albert SM, Alessi C, Bruni O, DonCarlos L, et al. National Sleep Foundation’s sleep time duration recommendations: methodology and results summary. Sleep Health. 2015;1(1):40-3. https://doi.org/10.1016/j.sleh.2014.12.010.
22. Siqueira Reis R, Ferreira Hino AA, Rodriguez Añez CR. Perceived Stress Scale. J Health Psychol. 2010;15(1):107-14. https://doi.org/10.1177/1359105309346343.
23. Cohen S, Williamson G. Perceived stress in a probability sample of the United States. In: Spacapan S, Oskamp S, editors. The social psychology of health. Newbury Park, CA: Sage; 1988. p.31-67.
24. Leech RM, Worsley A, Timperio A, McNaughton SA. Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality. Nutr Res Rev. 2015;28(1):1-21. https://doi.org/10.1017/S0954422414000262.
25. Olinto MT. Padrões alimentares: análise de componentes principais. In: Kac G, Sichieri R, Gigante DP, organizadores. Epidemiologia nutricional. Rio de Janeiro: Fiocruz; 2007. p.213-25.
26. Gordon CC, Chumlea WC, Roche AF. Stature, recumbent length and weight. In: Lohman TG, Roche AF, Martorell R, editors. Anthropometric standardization reference manual. Champaign: Human Kinetics Books; 1988. p.3-8.
27. World Health Organization. Growth reference data for 5–19 years. Geneva: WHO; 2007.
28. World Health Organization. Physical status: the use and interpretation of anthropometry. Geneva: WHO; 1995.
29. Textor J, Hardt J, Knüppel S. DAGitty: a graphical tool for analyzing causal diagrams. Epidemiology. 2011;22(5):745.
30. Louzada MLC, Martins APB, Canella DS, Baraldi LG, Levy RB, Claro RM, et al. Ultra-processed foods and the nutritional dietary profile in Brazil. RevSaude Publica. 2015;49:38. https://doi.org/10.1590/S0034-8910.2015049006132.
31. Machado Arruda SP, Silva AAM, Kac G, Vilela AAF, Goldani MZ, Bettiol H, et al. Dietary patterns are associated with excess weight and abdominal obesity in a cohort of young Brazilian adults. Eur J Nutr. 2016;55(6):2081-91. https://doi.org/10.1007/s00394-015-1022-y.
32. Mu M, Xu LF, Hu D, Wu J, Bai MJ. Dietary patterns and overweight/obesity: a review article. Iran J Public Health. 2017;46(7):869-76.
33. Borges CA, Marchioni DML, Levy RB, Slater B. Dietary patterns associated with overweight among Brazilian adolescents. Appetite. 2018;123:402-9. https://doi.org/10.1016/j.appet.2018.01.001.
34. Arruda Neta AC, Farias JC Jr, Ferreira FEL, Marchioni DM. Prospective association between dietary patterns and BMI z-score in Brazilian adolescents. Public Health Nutr. 2021;24(13):4230-7. https://doi.org/10.1017/S1368980021000252.
35. Santos RO, Vieira DADS, Miranda AAM, Fisberg RM, Marchioni DM, Baltar VT. The traditional lunch pattern is inversely correlated with body mass index in a population-based study in Brazil. BMC Public Health. 2018;18(1):33. https://doi.org/10.1186/s12889-017-4582-3.
36. San-Cristobal R, Navas-Carretero S, Martínez-González MA, Ordovas JM, Martínez JA. Contribution of macronutrients to obesity: implications for precision nutrition. Nat Rev Endocrinol. 2020;16(6):305-20. https://doi.org/10.1038/s41574-020-0346-8.
37. Vieira VCR, Priore SE, Ribeiro SMR, Franceschini SCC, Almeida LP. Perfil socioeconômico, nutricional e de saúde de adolescentes recém-ingressos em uma universidade pública brasileira. Rev Nutr. 2002;15(3):273-82. https://doi.org/10.1590/S1415-52732002000300003.
38. Estima CCP, Costa RS, Sichieri R, Pereira RA, Veiga GV. Meal consumption patterns and anthropometric measurements in adolescents from a low socioeconomic neighborhood in the metropolitan area of Rio de Janeiro, Brazil. Appetite. 2009;52(3):735-9. https://doi.org/10.1016/j.appet.2009.03.017.
39. Gao SK, Beresford SA, Frank LL, Schreiner PJ, Burke GL, Fitzpatrick AL. Modifications to the Healthy Eating Index and its ability to predict obesity: the Multi-Ethnic Study of Atherosclerosis. Am J Clin Nutr. 2008;88(1):64-9. https://doi.org/10.1093/ajcn/88.1.64.
40. Perez PMP, Castro IRR, Canella DS, Franco AS. Effect of implementation of a university restaurant on the diet of students in a Brazilian public university. CienSaude Colet. 2019;24:2351-60. https://doi.org/10.1590/1413-81232018246.11562017.
41. Oliveira N, Carneiro ACLC. Perfil e preferências alimentares dos usuários de um restaurante universitário localizado no estado de Minas Gerais. HU Rev. 2025;50:1-11.
42. Merhout F, Doyle J. Socioeconomic status and diet quality in college students. J NutrEducBehav. 2019;51(9):1107-12. https://doi.org/10.1016/j.jneb.2019.06.021.
43. Hilger J, Loerbroks A, Diehl K. Eating behaviour of university students in Germany: dietary intake, barriers to healthy eating and changes in eating behaviour since the time of matriculation. Appetite. 2017;109:100-7. https://doi.org/10.1016/j.appet.2016.11.016.
44. Instituto Brasileiro de Geografia e Estatística (IBGE). Síntese de indicadores sociais: uma análise das condições de vida da população brasileira: 2020. Rio de Janeiro: IBGE; 2020.
45. Hartmann Y, Botelho R, Akutsu R, Zandonadi RP. Consumption of fruits and vegetables by low-income Brazilian undergraduate students: a cross-sectional study. Nutrients. 2018;10(8):1121. https://doi.org/10.3390/nu10081121.
46. Alves HJ, Boog MCF. Comportamento alimentar em moradia estudantil: um espaço para promoção da saúde. Rev SaudePublica. 2007;41(2):197-204. https://doi.org/10.1590/S0034-89102007000200005.
47. Conway JM, Ingwersen LA, Moshfegh AJ. Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J Am Diet Assoc. 2004;104:595-603. https://doi.org/10.1016/j.jada.2004.01.007.
48. Ferreira MG, Pereira RA, Silva RMVG, Sichieri R. Álbum fotográfico para uso em inquéritos alimentares: ênfase para a dieta da população mato-grossense. Goiânia: Índice Gestão Editorial; 2011.
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Derechos de autor 2025 Kimberlly Lauraine Dias Soares Silva, Lorena Barbosa Fonseca, Ana Paula Alves de Souza, Márcia Gonçalves Ferreira
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