Effect of a multicomponent intervention on variables related to screen time in adolescents: a cluster-randomized controlled trial
DOI:
https://doi.org/10.12820/rbafs.23e0005Keywords:
Clinical trial, Sedentary lifestyle, School health, BrazilAbstract
The aim of this study was to evaluate the effect of an intervention on screen time and on psychosocial factors (Attitude, self-efficacy, support of family and school members) associated with reduced screen time in students. A cluster-randomized controlled trial was conducted in three schools in the intervention group (n = 548) and three in the control group (n = 537). The intervention focused on teacher training, opportunities for practicing physical activity at school and reducing screen time, as well as health education. The questionnaire (applied in July and December 2014) included questions about time using TV and computer / video game on weekdays and weekend days (Combined in full-screen time). The psychosocial factors were obtained through scales. The control variables were school and income. The analysis included binary logistic regression models and generalized linear models. The effect size was calculated with analyzes stratified by sex and age (p < 0.05). The intervention group reduced TV (boys: OR = 2.86; CI95%: 1.06-7.71) time and computer/video game (girls: OR = 3.34; CI95%: 1.14-9.84; 11 to 13 years: OR = 3.08; CI95%: 1.17-8.08) for < 2 hours / day (p < 0.05). Positive effects of the intervention were observed on attitude (among girls and adolescents of both age groups) and school support (all subgroups), with effect sizes ranging from 0.21 to 0.54. We concluded that the intervention caused improvements in certain components of the screen time, as well as attitude and school support. Interventions in the school context can help reduce screen time in the young population.
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References
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25. Wahi G. Effectiveness of interventions aimed at reducing screen time in children: a systematic review and meta-analysis of randomized controlled trials. Arch Pediatr Adolesc Med. 2011;165(11):979.
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27. Vik FN, Lien N, Berntsen S, De Bourdeaudhuij I, Grillenberger M, Manios Y, et al. Evaluation of the UP4F UN intervention: a cluster randomized trial to reduce and break up sitting time in European 10-12-year-old children. PloS One. 2015;10(3):e0122612.
28. Community preventive services task force. reducing children`s recreational sedentary screen time. Am J Prev Med. 2016;50(3):416–8.
2. Fletcher E, Leech R, McNaughton SA, Dunstan DW, Lacy KE, Salmon J. Is the relationship between sedentary behaviour and cardiometabolic health in adolescents independent of dietary intake? A systematic review: Sitting and diet. Obes Rev. 2015;16(9):795–805.
3. Suchert V, Hanewinkel R, Isensee B. Sedentary behavior and indicators of mental health in school-aged children and adolescents: A systematic review. Prev Med. 2015;76:48–57.
4. Guthold R, Cowan MJ, Autenrieth CS, Kann L, Riley LM. Physical activity and sedentary behavior among schoolchildren: a 34-country comparison. J Pediatr. 2010;157(1):43–49.e1.
5. Buchanan L, Rooks-Peck CR, Finnie RKC, Wethington HR, Jacob V, Fulton JE, et al. Reducing recreational sedentary screen time. Am J Prev Med. 2016;50(3):402–15.
6. Friedrich RR, Polet JP, Schuch I, Wagner MB. Effect of intervention programs in schools to reduce screen time: a meta-analysis. J Pediatr (Rio J). 2014;90(3):232–41.
7. Leme ACB, Lubans DR, Guerra PH, Dewar D, Toassa EC, Philippi ST. Preventing obesity among Brazilian adolescent girls: Six-month outcomes of the Healthy Habits, Healthy Girls? Brazil school-based randomized controlled trial. Prev Med. 2016;86:77–83.
8. Hardman CM, Barros MVG, Lopes AS, Lima RA, Bezerra J, Nahas MV. Efetividade de uma intervenção de base escolar sobre o tempo de tela em estudantes do ensino médio. Rev Bras Cineantropom e Desempenho Hum. 2014;16(0):25-35.
9. Van Stralen MM, de Meij J, Te Velde SJ, Van der Wal MF, Van Mechelen W, Knol DL, et al. Mediators of the effect of the JUMP-in intervention on physical activity and sedentary behavior in Dutch primary schoolchildren from disadvantaged neighborhoods. Int J Behav Nutr Phys Act. 2012;9(1):131.
10. Glanz K,Rimer BK,Viswanath K.Health behavior and health education: theory, research, and practice. San Francisco: John Wiley & Sons, 2008.
11. Van Stralen MM, Yildirim M, te Velde SJ, Brug J, van Mechelen W, Chinapaw MJ. What works in school-based energy balance behaviour interventions and what does not? A systematic review of mediating mechanisms. Int J Obes. 2011;35(10):1251–65.
12. Silva KS, Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television vie wing and computers/videogames use among high school students in Southern Brazil between 2001 and 2011. Int J Public Health. 2014;59(1):77–86.
13. Barbosa Filho VC, Lopes AS, Lima AB, de Souza EA, Gubert F do A, Silva KS, et al. Rationale and methods of a cluster-randomized controlled trial to promote active and healthy lifestyles among Brazilian students: the “Fortaleça sua Saúde” program. BMC Public Health. 2015;15:1212.
14. Barbosa Filho VC, Silva KS, Mota J, Beck C, Silva Lopes A. A physical activity intervention for brazilian students from low human development index areas: a cluster-randomized controlled trial. J Phys Act Health. 2016;13(11):1174–82.
15. Brazil. Escolas promotoras de saúde: experiências no Brasil. 1a. ed., 1a. reimpressão. Brasília, DF: Editora MS; 2007. 302 p. (Série B-Textos básicos de saúde). [cited 2017 Jun 17]. Available from: http://bvsms.saude.gov.br/bvs/publicacoes/ escolas_promotoras_saude_experiencias_brasil_p1.pdf.
16. Malta DC, Sardinha LMV, Mendes I, Barreto SM, Giatti L, Castro IRR, et al. Prevalence of risk health behavior among adolescents: results from the 2009 National Adolescent School-based Health Survey (PeNSE). Ciênc Amp Saúde Coletiva. 2010;15:3009–19.
17. Guedes DP, Lopes CC. Validation of the brazilian version of the 2007 Youth Risk Behavior Survey. Rev Saúde Pública. 2010;44(5):840–50.
18. Norman GJ, Vaughn AA, Roesch SC, Sallis JF, Calfas KJ, Patrick K. Development of decisional balance and self-efficacy measures for adolescent sedentary behaviors. Psychol Health. 2004;19(5):561–75.
19. Jago R, Baranowski T, Watson K, Bachman C, Baranowsi JC, ompson D, et al. Development of new physical activity and sedentary behavior change self-e cacy questionnaires using item response modeling. Int J Behav Nutr Phys Act. 2009;6(1):20.
20. Brasil. Critério de Classi cação Econômica Brasil. Assoc Bras Empres Pesqui ABEP [Internet]. 2008. [cited 2017 Jun 17]. Available from: https://xa.yimg.com/kq/ groups/17751174/2115296965/name/Criterio_Brasil_2008. pdf
21. Bucksch J, Sigmundova D, Hamrik Z, Troped PJ, Melkevik O, Ahluwalia N, et al. International trends in adolescent screen-time behaviors from 2002 to 2010. J Adolesc Health. 2016;58(4):417–25.
22. Tremblay MS, LeBlanc AG, Janssen I, Kho ME, Hicks A, Murumets K, et al. Canadian sedentary behaviour guidelines for children and youth. Appl Physiol Nutr Metab. 2011;36(1):59–64.
23. Cohen J. Statistical Power Analysis for the Behavioral Sciences [Internet]. 2nd ed. Routledge; 1988. [cited 2017 Jun 17]. Available from: http://gen.lib.rus.ec/book/index. php?md5 = aaa90371cd9c588dc5530cfeb909f3f2.
24. Verloigne M, Van Lippevelde W, Bere E, Manios,Y, Kovács É, Grillenberger M, et al. Individual and family environmental correlates of television and computer time in 10- to 12-year- old European children: the ENERGY-project. BMC Public Health. 2015;15(1):912.
25. Wahi G. Effectiveness of interventions aimed at reducing screen time in children: a systematic review and meta-analysis of randomized controlled trials. Arch Pediatr Adolesc Med. 2011;165(11):979.
26. Maniccia DM, Davison KK, Marshall SJ, Manganello JA, Dennison BA. A meta-analysis of interventions that target children’s screen time for reduction. pediatrics. 2011;128(1):e193–210.
27. Vik FN, Lien N, Berntsen S, De Bourdeaudhuij I, Grillenberger M, Manios Y, et al. Evaluation of the UP4F UN intervention: a cluster randomized trial to reduce and break up sitting time in European 10-12-year-old children. PloS One. 2015;10(3):e0122612.
28. Community preventive services task force. reducing children`s recreational sedentary screen time. Am J Prev Med. 2016;50(3):416–8.
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Published
2018-08-14
How to Cite
1.
Bandeira A da S, Silva KS da, Sá SAM de, Guerra PH, Mota J, Barbosa Filho VC. Effect of a multicomponent intervention on variables related to screen time in adolescents: a cluster-randomized controlled trial. Rev. Bras. Ativ. Fís. Saúde [Internet]. 2018 Aug. 14 [cited 2024 May 18];23:1-8. Available from: https://rbafs.org.br/RBAFS/article/view/11503
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