Implementação das diferentes estratégias da intervenção “ActTeens” para adolescentes: uma avaliação do processo
DOI:
https://doi.org/10.12820/rbafs.28e0306Palavras-chave:
Dispositivos eletrônicos vestíveis, Exercício físico, Telemedicina, Adolescente, Ciência da implementaçãoResumo
Programas multicomponentes para promoção da atividade física têm se mostrado promissores para auxiliar os adolescentes a aumentar seus níveis de atividade física. Embora a avaliação do processo de implementação da intervenção seja importante, informações sobre esta avaliação raramente são relatadas. O presente estudo teve como objetivo avaliar a implementação de um programa de intervenção de atividade física de 12 semanas para adolescentes. O programa ActTeens consiste de três componentes principais: (1) sessões estruturadas de atividade física; (2) auto-monitoramento associado com estabelecimento de metas diárias; (3) orientações sobre um estilo de vida saudável (mHealth). A avalição do processo foi por meio de observações e informações autorreferidas dos alunos. Cinquenta e um adolescentes (37,5% meninas) responderam o questionário. No geral, o alcance foi de 73,3%, a taxa de retenção 96,3% e satisfação com a intervenção foi alta (escore 5). As sessões estruturadas tiveram alta fidelidade, boa aceitabilidade entre os adolescentes com a frequência média de participação de 93,7% por aula. Os participantes classificaram as sessões como prazerosas e o papel do professor como excelente. A aderência ao automonitoramento (estabelecimento de metas com pedômetro) foi moderada e 57,8% dos adolescentes relataram usar o dispositivo diariamente. Além disso, os adolescentes relataram que o uso do pedômetro aumentou a motivação para a prática de atividade física (72,4%). A satisfação com as mensagens por aplicativo foi considerada baixa, sendo que apenas 37,8% concordaram que as mensagens promoveram a adoção de um estilo de vida saudável. Em conclusão, as sessões estruturadas e o uso do pedômetro para automonitoramento mostraram boa aceitabilidade entre os adolescentes, e estas estratégias foram consideradas relevantes para promover um estilo de vida fisicamente mais ativo. Entretanto, o componente mHealth, quando usado como uma estratégia única, não auxiliou na adoção de um comportamento saudável.
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Referências
WHO. WHO guidelines on physical activity and sedentary behaviour. In: Organization WH, editor. Geneva 2020.
Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1· 6 million participants. The Lancet Child & Adolescent Health. 2020;4(1):23-35. DOI: https://doi.org/10.1016/S2352-4642(19)30323-2
Jong ST, Croxson CH, Foubister C, Brown HE, Guell C, Lawlor ER, et al. Reach, recruitment, dose, and intervention fidelity of the GoActive School-Based Physical Activity Intervention in the UK: A mixed-methods process evaluation. Children. 2020;7(11):231. DOI: https://doi.org/10.3390/children7110231
Love R, Adams J, van Sluijs EM. Are school-based physical activity interventions effective and equitable? A meta-analysis of cluster randomized controlled trials with accelerometer-assessed activity. Obes Rev. 2019;20(6):859-70. DOI: https://doi.org/10.1111/obr.12823
Silva JAd, Gonçalves ECA, Silva DAS, Silva KS. Programas de intervenção para atividade física nas escolas brasileiras: revisão com base no modelo RE-AIM. Cienc Saúde Colet. 2019;24:3443-56. DOI: https://doi.org/10.1590/1413-81232018249.23502017
Grant A, Treweek S, Dreischulte T, Foy R, Guthrie B. Process evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting. Trials. 2013;14(1):1-10. DOI: https://doi.org/10.1186/1745-6215-14-S1-O88
Naylor P-J, Nettlefold L, Race D, Hoy C, Ashe MC, Higgins JW, et al. Implementation of school based physical activity interventions: a systematic review. Prev Med. 2015;72:95-115. DOI: https://doi.org/10.1016/j.ypmed.2014.12.034
Gorely T, Harrington DM, Bodicoat DH, Davies MJ, Khunti K, Sherar LB, et al. Process evaluation of the school-based Girls Active programme. BMC Public Health. 2019;19(1):1-16. DOI: https://doi.org/10.1186/s12889-019-7493-7
Durlak JA, DuPre EP. Implementation matters: A review of research on the influence of implementation on program outcomes and the factors affecting implementation. Am. J. Community Psychol. 2008;41(3):327-50. DOI: https://doi.org/10.1007/s10464-008-9165-0
Saunders RP. Implementation monitoring and process evaluation: Sage Open; 2015. DOI: https://doi.org/10.4135/9781071878736
Glasgow RE, Harden SM, Gaglio B, Rabin B, Smith ML, Porter GC, et al. RE-AIM planning and evaluation framework: adapting to new science and practice with a 20-year review. Front. Public Health2019;7:64. DOI: https://doi.org/10.3389/fpubh.2019.00064
Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55(1):68. DOI: https://doi.org/10.1037/0003-066X.55.1.68
Bandura A. Social foundation of thought and action: A social cognitive theory Prentice Hall. 1986.
Kennedy SG, Smith JJ, Morgan PJ, Peralta LR, Hilland TA, Eather N, et al. Implementing resistance training in secondary schools: a cluster randomized controlled trial. Med Sci Sports Exerc. 2018;50(1):62-72. DOI: https://doi.org/10.1249/MSS.0000000000001410
Lubans DR, Lonsdale C, Cohen K, Eather N, Beauchamp MR, Morgan PJ, et al. Framework for the design and delivery of organized physical activity sessions for children and adolescents: rationale and description of the ‘SAAFE’teaching principles. Int J Behav Nutr Phys Act 2017;14(1):1-11. DOI: https://doi.org/10.1186/s12966-017-0479-x
Kantanista A, Bronikowski M, Laudańska-Krzemińska I, Król-Zielińska M, Osiński W. Positive effect of pedometer-based walking intervention on body image and physical activity enjoyment in adolescent girls. Biomed. Hum. Kinet. 2017;9(1):34-42. DOI: https://doi.org/10.1515/bhk-2017-0006
Lubans DR, Smith JJ, Peralta LR, Plotnikoff RC, Okely AD, Salmon J, et al. A school-based intervention incorporating smartphone technology to improve health-related fitness among adolescents: rationale and study protocol for the NEAT and ATLAS 2.0 cluster randomised controlled trial and dissemination study. BMJ open. 2016;6(6):e010448. DOI: https://doi.org/10.1136/bmjopen-2015-010448
Costigan SA, Eather N, Plotnikoff RC, Taaffe DR, Pollock E, Kennedy SG, et al. Preliminary efficacy and feasibility of embedding high intensity interval training into the school day: a pilot randomized controlled trial. Prev Med Rep. 2015;2:973-9. DOI: https://doi.org/10.1016/j.pmedr.2015.11.001
Sparks C, Dimmock J, Lonsdale C, Jackson B. Modeling indicators and outcomes of students’ perceived teacher relatedness support in high school physical education. Psychol. Sport Exerc. 2016;26:71-82. DOI: https://doi.org/10.1016/j.psychsport.2016.06.004
Suchert V, Steinvoord K, Schwarz J, Isensee B, Krieger C. Motivational aspects and critical issues of a pedometer intervention in adolescents. Health Promot. Pract. 2018;19(1):60-7. DOI: https://doi.org/10.1177/1524839916667273
Ridgers ND, McNarry MA, Mackintosh KA. Feasibility and effectiveness of using wearable activity trackers in youth: a systematic review. JMIR Mhealth Uhealth. 2016;4(4):e6540. DOI: https://doi.org/10.2196/mhealth.6540
Schaefer SE, Ching CC, Breen H, German JB. Wearing, thinking, and moving: testing the feasibility of fitness tracking with urban youth. Am. J. Health Educ.2016;47(1):8-16. DOI: https://doi.org/10.1080/19325037.2015.1111174
Koorts H, Salmon J, Timperio A, Ball K, Macfarlane S, Lai SK, et al. Translatability of a wearable technology intervention to increase adolescent physical activity: Mixed methods implementation evaluation. J Med Internet Res 2020;22(8):e13573. DOI: https://doi.org/10.2196/13573
Lubans DR, Morgan PJ, Callister R, Collins CE. Effects of integrating pedometers, parental materials, and E-mail support within an extracurricular school sport intervention. JJ Adolesc Health. 2009;44(2):176-83. DOI: https://doi.org/10.1016/j.jadohealth.2008.06.020
Kantanista A, Bronikowski M, Laudanska-Krzeminska I, Osinski W. Effects of pedometer-based walking intervention on psychological and biological variables in adolescent girls: does achieving goals make a difference. Med Sport. 2014;67:261-72.
Creaser AV, Clemes SA, Costa S, Hall J, Ridgers ND, Barber SE, et al. The acceptability, feasibility, and effectiveness of wearable activity trackers for increasing physical activity in children and adolescents: a systematic review. Int. J. Environ. Res. Public Health. 2021;18(12):6211. DOI: https://doi.org/10.3390/ijerph18126211
Kerner C, Goodyear VA. The motivational impact of wearable healthy lifestyle technologies: a self-determination perspective on Fitbits with adolescents. Am. J. Health Educ. 2017. DOI: https://doi.org/10.1080/19325037.2017.1343161
Champion KE, Parmenter B, McGowan C, Spring B, Wafford QE, Gardner LA, et al. Effectiveness of school-based eHealth interventions to prevent multiple lifestyle risk behaviours among adolescents: a systematic review and meta-analysis. The Lancet Digital Health. 2019;1(5):e206-e21. DOI: https://doi.org/10.1016/S2589-7500(19)30088-3
Shin Y, Kim SK, Lee M. Mobile phone interventions to improve adolescents' physical health: A systematic review and meta‐analysis. Public Health Nurs. 2019;36(6):787-99. DOI: https://doi.org/10.1111/phn.12655
Bandeira AS, Pizani J, Sousa ACFC, Silva JA, Minatto G, Barbosa Filho VC, et al. Implementation of a school-based physical activity intervention for Brazilian adolescents: a mixed-methods evaluation. Health Promot. Int. 2022;37(2):daab091. DOI: https://doi.org/10.1093/heapro/daab091
Vajravelu ME, Arslanian S. Mobile health and telehealth interventions to increase physical activity in adolescents with obesity: a promising approach to engaging a hard-to-reach population. Curr. Obes. Rep.. 2021:1-9. DOI: https://doi.org/10.1007/s13679-021-00456-8
Kangovi S, Asch DA. Behavioral phenotyping in health promotion: embracing or avoiding failure. JAMA. 2018;319(20):2075-6. DOI: https://doi.org/10.1001/jama.2018.2921
Cheng LA, Mendonça G, Lucena J, Rech CR, Farias Júnior JC. Is the association between sociodemographic variables and physical activity levels in adolescents mediated by social support and self-efficacy? J. Pediatr. 2020;96:46-52. DOI: https://doi.org/10.1016/j.jped.2018.08.003
Verjans-Janssen SR, van de Kolk I, Van Kann DH, Kremers SP, Gerards SM. Effectiveness of school-based physical activity and nutrition interventions with direct parental involvement on children’s BMI and energy balance-related behaviors–A systematic review. PloS one. 2018;13(9):e0204560. DOI: https://doi.org/10.1371/journal.pone.0204560
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Copyright (c) 2023 Gessika Castilho dos Santos, Jadson Marcio da Silva, Renan Camargo Correa, Rodrigo de Oliveira Barbosa, Gabriel Pinzon, Maria Carolina Juvêncio Francisquini, Thais Maria de Souza Silva, Antonio Stabelini Neto
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