Association between screen use at night, food consumption at dinner, and evening snack in schoolchildren aged 7 to 14 years with and without overweight, Florianópolis, Santa Catarina, Brazil
Palabras clave:
Children, Dinner, Food consumption, Screen time, SnacksResumen
Objetivo
Analisar a associação entre o uso de dispositivo de tela no período noturno, o consumo alimentar no jantar e lanche da noite em escolares com e sem sobrepeso.
Métodos
Estudo transversal com uma amostra probabilística de 1.396 escolares de 7 a 14 anos de idade de escolas públicas e privadas de Florianópolis, Santa Catarina, Brasil. O consumo alimentar e a frequência de uso de dispositivos de telas do dia anterior foram obtidas por meio do questionário Consumo Alimentar e Atividades Físicas de Escolares. A associação entre o uso de dispositivo de tela no período noturno (exposição) e o consumo alimentar (desfecho) foi verificada por meio de regressão logística.
Resultados
No jantar, os escolares sem sobrepeso que utilizaram dispositivo de tela uma vez tiveram menor chance de consumir frutas, verduras e legumes (OR: 0,62, p=0,017) comparado com aqueles que não usaram dispositivos de telas. Além disso, aqueles que usaram dispositivo de tela duas vezes, tiveram maior chance de consumir doces (OR: 2,01, p=0,002) e a utilização de dispositivo de tela três vezes ou mais foi inversamente associado ao consumo de feijão (OR: 0,24, p=0.003), carnes, ovos e peixes (OR: 0,35, p=0,011). Os escolares com sobrepeso que utilizaram dispositivo de tela três vezes ou mais tiveram maior chance de consumirem ultraprocessados e lanches tipo pizza/ hambúrguer/cachorro-quente (OR: 2,51, p=0,009). No lanche da noite, observou-se que os escolares sem sobrepeso que utilizaram dispositivo de tela três vezes ou mais, tiveram maior chance de consumir ultraprocessados e lanches (OR: 8,26; p=0,016).
Conclusão
Os escolares com e sem sobrepeso que utilizaram dispositivo de tela tiveram mais chances de consumir alimentos ultraprocessados. Os escolares sem sobrepeso que utilizam dispositivo de tela mais vezes a noite possuem menor chance de consumir alimentos saudáveis.
Citas
Kaye LK, Orben A, Ellis DA, Hunter SC, Houghton S. The Conceptual and Methodological Mayhem of “Screen Time.” Int J Environ Res Public Health. 2020;17(10):33661. https://doi.org/10.3390/ijerph17103661
Wu Y, Amirfakhraei A, Ebrahimzadeh F, Jahangiry L, Abbasalizad-Farhangi M. Screen Time and Body Mass Index Among Children and Adolescents: A Systematic Review and Meta-Analysis. Front Pediatr. 2022;10:561. https://doi.org/10.3389/fped.2022.822108
Barnett TA, Kelly CAS, Young DR, Perry CK, Pratt CA, Edwards NM, et al. Sedentary Behaviors in Today’s Youth: Approaches to the Prevention and Management of Childhood Obesity: A Scientific Statement From the American Heart Association. Circulation. 2018;138(11):e142-59. https://doi.org/10.1161/CIR.0000000000000591 Vasconcellos MB, Anjos LA, de Vasconcellos MTL. Estado nutricional e tempo de tela de escolares da Rede Pública de Ensino Fundamental de Niterói, Rio de Janeiro, Brasil. Cad Saude Publica. 2013;29(4):713-22. https://doi.org/10.1590/S0102-311X2013000400009
Sociedade Brasileira de Pediatria. Manual de orientação: saúde de crianças e adolescentes na era digital [Internet]. Rio de Janeiro; 2016 [cited 2023 May 2]. Available from: https://nutritotal.com.br/pro/wpcontent/uploads/2019/03/Manual_orientações_era_digital.pdf.
Mobile Time, Oinion Box. Panorama Mobile Time/Opinion Box - Crianças e smartphones no Brasil [Internet]. São Paulo; 2022 [cited 2023 May 18]. Available from: https://www.mobiletime.com.br/pesquisas/criancase-smartphones-no-brasil-outubro-de-2022/
Núcleo de Informação e Coordenação do Ponto BR. Pesquisa sobre o uso da Internet por crianças e adolescentes no Brasil : TIC Kids Online Brasil 2021 [Internet]. São Paulo: São Paulo: Comitê Gestor da Internet no Brasil; 2022 [cited 2023 May 2]. Available from: https://cetic.br/media/docs/publicacoes/2/20221121120124/ tic_kids_online_2021_livro_eletronico.pdf
Qutteina Y, De Backer C, Smits T. Media food marketing and eating outcomes among pre-adolescents and adolescents: A systematic review and meta-analysis. Obes Rev. 2019;20(12):1708-19. https://doi. org/10.1111/obr.12929
DMT ROBERTO et al. | SCREEN USE AND DIETARY INTAKE IN CHILDREN Almoosawi S, Vingeliene S, Karagounis LG, Pot GK. Chrono-nutrition: A review of current evidence from observational studies on global trends in time-of-day of energy intake and its association with obesity. Proc Nutr Soc 2016;75(4):487-500. http://dx.doi.org/10.1017/s0029665116000306
Almoosawi S, Prynne CJ, Hardy R, Stephen AM. Time-of-day and nutrient composition of eating occasions: Prospective association with the metabolic syndrome in the 1946 British birth cohort. Int J Obes. 2013;37(5):725-31. http://dx.doi.org/10.1038/ijo.2012.103
Kupek E, Lobo AS, Leal DB, Bellisle F, Assis MA. Dietary patterns associated with overweight and obesity among Brazilian schoolchildren: An approach based on the time-of-day of eating events. Br J Nutr. 2016;116(11):1954-65. http://dx.doi.org/10.1017/s0007114516004128
Wang JB, Patterson RE, Ang A, Emond JA, Shetty N, Arab L. Timing of energy intake during the day is associated with the risk of obesity in adults. J Hum Nutr Diet. 2014;27 Suppl 2:255-62. http://dx.doi. org/10.1111/jhn.12141
Thompson OM, Ballew C, Resnicow K, Gillespie C, Must A, Bandini LG, et al. Dietary pattern as a predictor of change in BMI z-score among girls. Int J Obes. 2006;30(1):176-82. http://dx.doi.org/10.1038/sj.ijo.0803072
Kelishadi R, Mozafarian N, Qorbani M, Maracy MR, Motlagh ME, Safiri S, et al. Association between screen time and snack consumption in children and adolescents: The CASPIAN-IV study. J Pediatr Endocrinol Metab. 2017;30(2):211-9.
Melo JCB, Lustoza GF, Ibiapina DFN, Landim LA dos SR. Influência da mídia no consumo de alimentos ultraprocessados e no estado nutricional de escolares. Rev Eletr Acervo Saude. 2019;(29):e1016-e1016. https://doi.org/10.25248/reas.e1016.2019
Pearson N, Griffiths P, Biddle SJ, Johnston JP, McGeorge S, Haycraft E. Clustering and correlates of screentime and eating behaviours among young adolescents. BMC Public Health. 2017;17(1):1-12. https://doi. org/10.1186/s12889-017-4441-2
Monteiro CA, Cannon G, Moubarac JC, Levy RB, Louzada MLC, Jaime PC. The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Heal Nutr. 2018;21(1):5-17. http:// dx.doi.org/10.1017/s1368980017000234
Chemas-Velez MM, Gómez LF, Velasquez A, Mora-Plazas M, Parra DC. Scoping review of studies on food marketing in Latin America: Summary of existing evidence and research gaps. Rev Saude Publica. 2019;53:107. https://doi.org/10.11606/S1518-8787.2019053001184
Cezimbra VG, Assis MAA, De Oliveira MT, Pereira LJ, Vieira FGK, Di Pietro PF, et al. Meal and snack patterns of 7–13-year-old schoolchildren in southern Brazil. Public Health Nutr. 2021;24(9):2542-53. https://doi. org/10.1017/S1368980020003808
Leal DB, Assis MAA, Conde WL, Lobo AS, Bellisle F, Andrade DF. Individual characteristics and public or private schools predict the body mass index of Brazilian children: a multilevel analysis. Cad Saude Publica. 2018;34(5). https://doi.org/10.1590/0102-311X00053117
Motter AF, Vasconcelos FAG, Correa EN, Andrade DF. Pontos de venda de alimentos e associação com sobrepeso/obesidade em escolares de Florianópolis, Santa Catarina, Brasil. Cad Saude Publica. 2015;31(3):620-32. https://doi.org/10.1590/0102-311X00097814
Pereira LJ, Vieira FGK, Belchor ALL, Cezimbra VG, Junior CASA, Matsuo LH, et al. Methodological aspects and characteristics of participants in the Study on the Prevalence of Obesity in Children and Adolescents in Florianópolis, Southern Brazil, 2018-2019: EPOCA study. Ann Epidemiol. 2022;77:13-23. https://doi. org/10.1016/j.annepidem.2022.10.017
Leal DB, Assis MA, Hinnig PF, Schmitt J, Soares Lobo A, Bellisle F, et al. Changes in Dietary Patterns from Childhood to Adolescence and Associated Body Adiposity Status. Nutrients. 2017;9(10). http://dx.doi. org/10.3390/nu9101098
Rossi CE, Vasconcelos FAG. Relationship between birth weight and overweight/obesity among students in Florianópolis, Santa Catarina, Brazil: a retrospective cohort study. Sao Paulo Med J. 2014;132(5):273-81. https://doi.org/10.1590/1516-3180.2014.1325630
Matsuo LH, Adami F, Pereira LJ, Silva DAS, Vasconcelos FAG, Longo GZ, et al. Age at menarche and its association with overweight including obesity and socio-economic conditions of Brazilian schoolgirls: A time-trend analysis. Nutr Bull. 2022;47(1):70-81. https://doi.org/10.1111/nbu.12544
Wagner KJP, Fragas Hinnig P, Rossi CE, Almeida Alves M, Leite MS, Vasconcelos FAG. Time trends in the prevalence of breastfeeding among schoolchildren from public and private schools in Florianópolis, Southern Brazil: From 2002 to 2013. Am J Hum Biol. 2020;32(5):e23386. https://doi.org/10.1002/ajhb.23386
Correa EN, Rossi CE, Neves J, Silva DAS, Vasconcelos FAG, Corrêa EN, et al. Utilization and environmental availability of food outlets and overweight/obesity among schoolchildren in a city in the south of Brazil. J Public Health. 2017;40(1):106-13.
D’Avila GL, Silva DAS, Vasconcelos F AG. Associação entre consumo alimentar, atividade física, fatores socioeconômicos e percentual de gordura corporal em escolares. Cien Saude Colet. 2016;21(4):1071-81.
Pinho MGM, Adami F, Benedet J, Vasconcelos FAG. Association between screen time and dietary patterns and overweight/obesity among adolescents. Rev Nutr. 2017;30(3):377-89.
Fang K, Mu M, Liu K, He Y. Screen time and childhood overweight/obesity: A systematic review and metaanalysis. Child Care Health Dev. 2019;45(5):744-53. https://doi.org/10.1111/cch.12701
Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira. Censo escolar. [Internet]. Brasília: Ministério da Educação; 2017 [cited: 2023 May 2]. Available from: https://www.gov.br/inep/pt-br/areasde-atuacao/pesquisas-estatisticas-e-indicadores/censo-escolar/resultados.
Corrêa EN, Retondario A, Alves A, Bricarello LP, Rockenbach G, Hinnig PF, et al. Utilization of food outlets and intake of minimally processed and ultra-processed foods among 7 to 14-year-old schoolchildren. A cross-sectional study. Sao Paulo Med J. 2018;136(3):200-7. https://doi.org/10.1590/1516-3180.2017.0211061217
Davies VF, Kupek E, Assis MAA, Natal S, Di Pietro PF, Baranowski T. Validation of a web-based questionnaire to assess the dietary intake of Brazilian children aged 7-10 years. J Hum Nutr Diet. 2015;28 Suppl 1:93-102. http://dx.doi.org/10.1111/jhn.12262
Perazi FM, Kupek E, Assis MAA, Pereira LJ, Cezimbra VG, Oliveira MT, et al. Efeito do dia e do número de dias de aplicação na reprodutibilidade de um questionário de avaliação do consumo alimentar de escolares. Rev Bras Epidemiol. 2020;23:e200084. https://doi.org/10.1590/1980-549720200084
Jesus G, Assis MA, Kupek E, Dias L. Avaliação da atividade física de escolares com um questionário via internet. Rev Bras Med do Esporte. 2016;22:261-6. https://doi.org/10.1590/1517-869220162204157067
Costa FF, Schmoelz CP, Davies VF, Di Pietro PF, Kupek E, Assis MAA. Assessment of diet and physical activity of brazilian schoolchildren: usability testing of a web-based questionnaire. JMIR Res Protoc. 2013;2(2):e31. http://dx.doi.org/10.2196/resprot.2646
Baranowski T, Domel S. A cognitive model of children’s reporting of food intake. Am J Clin Nutr. 1994;59(1 Suppl). https://doi.org/10.1093/ajcn/59.1.212S
Brasil. Ministério da Saúde. Guia alimentar para a população brasileira. Brasília: Ministério da Saúde, Secretaria de Atenção à Saúde, Departamento de Atenção Básica; 2014 [cited 2023 May 2]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/guia_alimentar_populacao_brasileira_2ed.pdf
Jesus GM, Assis MAA, Kupek E. Validity and reproducibility of an Internet-based questionnaire (Web-CAAFE) to evaluate the food consumption of students aged 7 to 15 years. Cad Saude Publica. 2017;33(5):e00163016. http://dx.doi.org/10.1590/0102-311x00163016
Pereira LJ, Hinnig PF, DI Pietro PF, Assis MAA, Vieira FGK.Trends in food consumption of schoolchildren from 2nd to 5th grade: a panel data analysis. Rev Nutr. 2020;33:r190164. https://doi.org/10.1590/16789865202033e190164
Oliveira Santos R, Fisberg RM, Marchioni DM, Troncoso Baltar V. Dietary patterns for meals of Brazilian adults. Br J Nutr. 2015;114(5):822-8. https://doi.org/10.1017/S0007114515002445
Oliveira MT, Lobo AS, Kupek E, Assis MAA, Cezimbra VG, Pereira LJ, et al. Association between sleep period time and dietary patterns in Brazilian schoolchildren aged 7–13 years. Sleep Med. 2020;74:179-88. https://doi.org/10.1016/j.sleep.2020.07.016
Lohman T, Roche A, Martorell R. Anthropometric Standardization Reference Manual. Champaign: Human Kinetics Books; 1988.
Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660-7.
Harrington DM, Ioannidou E, Davies MJ, Edwardson CL, Gorely T, Rowlands AV, et al. Concurrent screen use and cross-sectional association with lifestyle behaviours and psychosocial health in adolescent females. Acta Paediatr. 2021;110(7):2164-70. https://doi.org/10.1111/apa.15806
Oliveira JS, Barufaldi LA, Azevedo Abreu G, Leal VS, Brunken GS, Vasconcelos SML, et al. ERICA: Use of screens and consumption of meals and snacks by Brazilian adolescents. Rev Saude Publica. 2016;50:7s. https://doi.org/10.1590/S01518-8787.2016050006680
Shang L, Wang JW, O’Loughlin J, Tremblay A, Mathieu MÈ, Henderson M, et al. Screen time is associated with dietary intake in overweight Canadian children. Prev Med Reports. 2015;2:265-9. https://doi.org/10.1016/j. pmedr.2015.04.003
Costa CS, Flores TR, Wendt A, Neves RG, Assunção MCF, Santos IS. Comportamento sedentário e consumo de alimentos ultraprocessados entre adolescentes brasileiros: Pesquisa Nacional de Saúde do Escolar (PeNSE), 2015. Cad Saude Publica. 2018;34(3):e00021017. https://doi.org/10.1590/0102-311X00021017
Bellissimo N, Pencharz PB, Thomas SG, Anderson GH. Effect of Television Viewing at Mealtime on Food Intake After a Glucose Preload in Boys. Pediatr Res. 2007;61(6):745-9. https://doi.org/10.1203/pdr.0b013e3180536591
Tabares-Tabares M, Moreno Aznar LA, Aguilera-Cervantes VG, León-Landa E, López-Espinoza A. Screen use during food consumption: Does it cause increased food intake? A systematic review. Appetite. 2022;171:105928. https://doi.org/10.1016/j.appet.2022.105928
Jackson DM, Djafarian K, Stewart J, Speakman JR. Increased television viewing is associated with elevated body fatness but not with lower total energy expenditure in children. Am J Clin Nutr. 2009;89(4):1031-6. https://doi.org/10.3945/ajcn.2008.26746
Micheletti NJ, Mello APQ. A influência da mídia na formação dos hábitos alimentares de crianças e adolescentes. Sci Saude. 2020;21(2):73-87.
Pimenta DV, Masson DF, Bueno MB. Analysis of food advertisements on television in children programs. J Health Sci. Inst; 2011;29(1):52-5.
Santos CC, Stuchi RAG, Arreguy-Sena C, Pinto NAVD. A influência da televisão nos hábitos, costumes e comportamento alimentar. Cogitare Enferm. 2012;17(1):65-71. http://dx.doi.org/10.5380/ce.v17i1.26376
Boyland EJ, Nolan S, Kelly B, Tudur-Smith C, Jones A, Halford JCG, et al. Advertising as a cue to consume: A systematic review and meta-analysis of the effects of acute exposure to unhealthy food and nonalcoholic beverage advertising on intake in children and adults. Am J Clin Nutr. 2016;103(2):519-33. https://doi. org/10.3945/ajcn.115.120022
Coates AE, Hardman CA, Halford JCG, Christiansen P, Boyland EJ. Social Media Influencer Marketing and Children’s Food Intake: A Randomized Trial. Pediatrics. 2019;143(4). https://doi.org/10.1542/peds.2018-2554
Oosterman JE, Kalsbeek A, la Fleur SE, Belsham DD. Impact of nutrients on circadian rhythmicity. Am J Physiol Regul Integr Comp Physiol. 2015;308(5):R337-50. http://dx.doi.org/10.1152/ajpregu.00322.2014
Patterson E, Warnberg J, Kearney J, Sjostrom M. The tracking of dietary intakes of children and adolescents in Sweden over six years: The European Youth Heart Study. Int J Behav Nutr Phys Act. 2009;6:91. http:// dx.doi.org/10.1186/1479-5868-6-9
