Prevalence of excessive screen time and correlates factors in Brazilian schoolchildren

Authors

DOI:

https://doi.org/10.12820/rbafs.23e0003

Keywords:

Child, Adolescent, School health, Lifestyle, Sedentary behavior

Abstract

The objective of this study was to identify excessive screen time, through the use of TV and other screen-based devices, including computers, videogames, tablets and smartphones, and analyze associated demographic, behavioral and anthropometric correlates. This is a cross-sectional school-based epidemiological study of approximately 17,000 schoolchildren aged 4-20 years who participated in the 2014 Healthy Paraná Project. Anthropometric measurements were collected by applying a questionnaire with structured questions. Excessive screen time was defined as the combined use of TV and other screen-based devices for > 2 hours/day. Data were analyzed using bivariate analysis and hierarchical multiple regression. e overall prevalence of excessive screen time was 70.4% [68.1–72.9]. Multivariate analysis showed a significant association between excessive screen time and age (OR = 1.92; 95%CI: 1.60–2.33), economic status (OR = 2.48; 95%CI: 1.99–3.17), mother’s schooling (OR = 1.98; 95%CI: 1.57–2.68), living area (OR = 1.26; 95%CI: 1.04–1.56) and urbanization (OR = 2.94; 95%CI: 2.41–3.75). Among the behavioral correlates, less physical activity (OR = 1.42; 95%CI: 1.25–1.85), low fruit/vegetable intake (OR = 2.89; 95%CI: 2.25–3.70), consuming sweetened products/soft drinks (OR = 2.07; 95%CI: 1.63–2.70) and fewer hours of sleep (OR = 2.01; 95%CI: 1.60–2.62) were independently associated with excessive screen time. Likewise, excess body weight (OR = 1.81; 95%CI: 1.35–2.51) and abdominal fat (OR = 2.01; 95%CI: 1.62–2.73) were significantly associated with the outcome. In conclusion, the findings of the study suggest that policies and interventions targeting health education programs in school and family settings should include elements that focus on reducing excessive screen time.

Downloads

Download data is not yet available.

Author Biography

Dartagnan Pinto Guedes, University of Northern Parana, Londrina, Parana, Brazil.

Possui graduação em Educação Física pela Universidade Estadual de Londrina (1974), mestrado em Ciência do Movimento Humano pela Universidade Federal de Santa Maria (1984), doutorado em Educação Física pela Universidade de São Paulo (1994) e pós-doutorado em Condição Física e Saúde pela Universidade Técnica de Lisboa, Portugal (1997). Professor-Associado aposentado do Centro de Educação Física e Esporte da Universidade Estadual de Londrina, Paraná (1980-2011). Atualmente é professor-titular do Centro de Ciências Biológicas e da Saúde da Universidade Norte do Paraná (UNOPAR). Líder do Grupo de Estudo e Pesquisa em Atividade Física Relacionada à Saúde, criado em 1994, atendendo 3 linhas de pesquisa: (a) comportamento de risco para a saúde; (b) exercício físico para promoção/conservação da saúde; e (c) programas de ensino no campo da educação física. Desde 1998, é bolsista Produtividade em Pesquisa pelo CNPq. Exerce a função de revisor e possui artigos publicados em periódicos científicos de impacto nacional e internacional. É autor de livros em sua área de atuação e assessor científico no desenvolvimento de softwares direcionados à avaliação/prescrição de exercício físico.

 

References

1. Sedentary Behaviour Research Network. Letter to the Editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab. 2012;37:540–42.
2. Temmel CSD, Rhodes R. Correlates of Sedentary Behaviour in Children and Adolescents Aged 7–18: A Systematic Review. Health Fit J Can. 2013;6:119–99.
3. Biddle SJ, Pearson N, Ross GM, Braithwaite R. Tracking of sedentary behaviours of young people: a systematic review. Prev Med. 2010;51:345-51.
4. Cillero IH, Jago R. Systematic review of correlates of screenviewing among young children. Prev Med. 2010;51:3-10.
5. Herman KM, Hopman WM, Sabiston CM. Physical activity, screen time and self-rated health and mental health in Canadian adolescents. Prev Med. 2015;73C:112–6.
6. Hale L, Guan S. Screen time and sleep among school-aged children and adolescents: a systematic literature review. Sleep Med Rev. 2015;21:50-8.
7. American Academy of Pediatrics; Council on Communications and Media. Children, adolescents, obesity, and the media. Pedriatrics. 2011;128:201-8.
8. Mark AE, Boyce WF, Janssen I. Television viewing, computer use and total screen time in Canadian youth. Paediatr Child Health 2006; 11(9):595-9.
9. Inchley J, Currie C, Young T, Samda IO, Torsheim T, Augustson L et al. Growing up unequal: gender and socioeconomic differences in young people’s health and well-being. Health Behaviour in School-Aged Children (HBSC) Study: International Report from the 2013/2014 Survey. Health Policy for Children and Adolescents. No. 7. Copenhagen, Denmark: WHO Regional Office for Europe. 2016. p.1-292.
10. Janssen I, Medina C, Pedroza A, Barquera S. Screen time in Mexican children: findings from the 2012 National Health and Nutrition Survey (ENSANUT 2012). Salud Publica Mex. 2013;55:484-91.
11. Barbosa Filho VC, Campos W, Lopes AS. Epidemiology of physical inactivity, sedentary behaviors, and unhealthy eating habits among Brazilian adolescents: a systematic review. Cien Saude Colet. 2014;19:173-93.
12. IBGE – Instituto Brasileiro de Geografia e Estatística. Pesquisa Nacional de Saúde do Escolar. PeNSE/2015. Rio de Janeiro: Coordenação de População e Indicadores Sociais/ IBGE. 2016.
13. van Sluijs EM, Kriemler S, McMinn AM. The effect of community and family interventions on young people’s physical activity levels: a review of reviews and updated systematic review. Br J Sports Med. 2011;45:914–22.
14. Tenório M, Barros M, Tassitano R, Bezerra J, Tenório J, Hallal P. Atividade física e comportamento sedentário em adolescentes estudantes do ensino médio. Rev Bras Epidemiol. 2010;13:105-17.
15. Silva KS, Nahas MV, Peres KG, Lopes AS. Fatores associados à atividade física, comportamento sedentário e participação na Educação Física em estudantes do Ensino Médio em Santa Catarina, Brasil. Cad Saude Publica. 2009;25(10):2187-200.
16. World Health Organization – WHO. Physical Status: e Use and Interpretation of Anthropometry. Report of a WHO Expert Committee. WHO – Technical Report Series, v. 854, p.1-452. 1995.
17. Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes. 2012;7:284-94.
18. Bauer KW, Marcus MD, El Ghormli L, Ogden CL, Foster GD. Cardio-metabolic risk screening among adolescents: understanding the utility of body mass index, waist circumference and waist to height ratio. Pediatr Obes. 2015;10(5):329-37.
19. Associação Brasileira de Empresas de Pesquisa – ABEP. Critério de Classificação Econômica Brasil. São Paulo: Associação Brasileira de Empresas de Pesquisa. 2014.
20. Guedes DP, Lopes CC. Validation of the Brazilian version of the 2007 Youth Risk Behavior Survey. Rev Saude Publica. 2010; 44(5):840-50.
21. Guedes DP, Guedes JERP. Measuring physical activity in Brazilian youth: reproducibility and validity of the PAQ-C and PAQ-A. Rev Bras Med Esporte. 2015;21(6):425-32.
22. Kann L, McManus T, Harris WA, Shanklin SL, Flint KH, Hawkins J et al. Youth Risk Behavior Surveillance — United States, 2015. MMWR. 2016; 65(4).
23. Gómez LF, Lucumí DI, Parra DC, Lobelo F. Niveles de urbanización, uso de televisión y video-juegos en niños colombianos: Posibles implicaciones en salud pública. Rev Salud Pública. 2008;10(4):505-16.
24. Carson V, Janssen I. Neighborhood disorder and screen time among 10-16 year old Canadian youth: a cross-sectional study. Int J Behav Nutr Phys Act. 2012;9:66.
25. Pearson N, Braithwaite ER, Biddle SJ, Van Sluijs EM, Atkin AJ. Associations between sedentary behaviour and physical activity in children and adolescents: a meta-analysis. Obes Rev. 2014;15:666-75.
26. Biddle SJ, Petrolini I, Pearson N. Interventions designed to reduce sedentary behaviours in young people: a review of reviews. Br J Sports Med. 2014;48:182-6.
27. Temple JL, Giacomelli AM, Kent KM, et al. Television watching increases motivated responding for food and energy intake in children. Am J Clin Nutr. 2007;85:355–61.
28. Marsh S, Ni Mhurchu C, Maddison R. e non-advertising effects of screen-based sedentary activities on acute eating behaviours in children, adolescents, and young adults. A systematic review. Appetite. 2013;71:259–73.
29. Dewald JF, Meijer AM, Oort FJ, Kerkhof GA, Bögels SM. The influence of sleep quality, sleep duration and sleepiness on school performance in children and adolescents: a meta- analytic review. Sleep Med Rev. 2010;14:179–89.
30. Dube N, Khan K, Loehr S, Chu Y, Veugelers P. The use of entertainment and communication technologies before sleep could affect sleep and weight status: a population-based study among children. Int J Behav Nutr Phys Act. 2017;14(1):97.

Downloads

Published

2018-08-14

How to Cite

1.
Guedes DP, Desiderá RA, Gonçalves HR. Prevalence of excessive screen time and correlates factors in Brazilian schoolchildren. Rev. Bras. Ativ. Fís. Saúde [Internet]. 2018 Aug. 14 [cited 2024 Jul. 3];23:1-10. Available from: https://rbafs.org.br/RBAFS/article/view/11981

Issue

Vol. 23 (2018)

Section

Original Articles

License

Copyright (c) 2018 Dartagnan Pinto Guedes, Robson Antônio Desiderá, Hélcio Rossi Gonçalves

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

When submitting a manuscript to the Revista Brasileira de Atividade Física & Saúde, the authors retain the copyright to the article and authorize the Revista Brasileira de Atividade Física & Saúde to publish the manuscript under the Creative Commons Attribution 4.0 License and identify it as the original publication source.