Perspectivas de adolescentes sobre aplicativos de smartphone para promoção de atividade física: perspectivas de grupos focais

Autores

DOI:

https://doi.org/10.47197/retos.v56.104357

Palavras-chave:

Crianças e adolescentes, Atividade Física; Aplicações de AF; Técnicas de Mudança de Comportamento.

Resumo

Objetivo: Este estudo explora como crianças e adolescentes percecionam a atividade física (AF) e aplicações de AF. O objetivo é compreender as suas perceções, experiências passadas e expetativas em relação à AF e às aplicações de AF. Métodos: Participaram no estudo 39 participantes com idades entre 11 e 15 anos, provenientes de cinco países europeus: Países Baixos (NL), Polónia (PL), Portugal (PT), Espanha (ES) e Suécia (SWE). Foram fornecidos insights sobre Técnicas de Mudança de Comportamento (TCCs) que melhoram a interação nas aplicações. Resultados: Os resultados oferecem perceções valiosas para a criação de aplicações de AF divertidas e envolventes para adolescentes, atendendo a diversas preferências dos utilizadores. Além disso, fornecem orientações inestimáveis para o design de aplicações de AF que aumentam o prazer, a diversão e a participação dos adolescentes, considerando um amplo espectro de preferências dos utilizadores. As TCCs identificadas como impactantes na participação nas aplicações incluíram autocontrolo, recompensas, feedback, apoio social, planeamento de ações e lembretes; as preferências e sugestões variaram consoante o sexo, idade e níveis de AF. Conclusões: Os achados deste estudo informam o projeto MOVE4FUN, contribuindo para entender como as TCCs promovem a AF sustentada em adolescentes. Destaca-se o papel crucial do design personalizado de aplicações e de um clima de apoio para satisfazer as necessidades individuais e metas intrínsecas. Estes insights contribuem significativamente para o desenvolvimento de ferramentas educacionais que incentivam a prática regular de AF e promovem o desenvolvimento holístico de cidadãos fisicamente educados.

Palavras-chave: Crianças e adolescentes, Atividade Física; Aplicações de AF; Técnicas de Mudança de Comportamento.

Referências

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/ https://doi.org/10.1191/1478088706qp063oa

Bull, F., Al-Ansari, S., Biddle, S., Borodulin, K., Buman, M., Cardon, G., Carty, C., Chaput, J., Chastin, S., Chou, R., Dempsey, P., DiPietro, L., Ekelund, U., Firth, J., Friedenreich, C., Garcia, L., Gichu, M., Jago, R., Katzmarzyk, P., . . . Willumsen, J. (2020). World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med, 54(24), 1451-1462. https://doi.org/10.1136/bjsports-2020-102955

Bunn, J. A., Navalta, J. W., Fountaine, C. J., & Reece, J. D. (2018). Current State of Commercial Wearable Technology in Physical Activity Monitoring 2015-2017. Int J Exerc Sci, 11(7), 503-515.

CDC. (2018). Data Collection Methods for Program Evaluation: Focus Groups. http://www.cdc.gov/ healthyyouth/evaluation/index.htm.

Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry & research design: Choosing among five approaches (SAGE, Ed. Fourth edition ed.).

Direito, A., Dale, L., Shields, E., Dobson, R., Whittaker, R., & Maddison, R. (2014). Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? BMC Public Health, pp. 14, 646. https://doi.org/10.1186/1471-2458-14-646

Domin, A., Ouzzahra, Y., & Vögele, C. (2022). Features and Components Preferred by Adolescents in Smartphone Apps for the Promotion of Physical Activity: Focus Group Study. JMIR Hum Factors, 9(2), e33972. https://doi.org/10.2196/33972

Domin, A., Spruijt-Metz, D., Theisen, D., Ouzzahra, Y., & Vögele, C. (2021). Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR Mhealth Uhealth, 9(7), e24308. https://doi.org/10.2196/24308

Fanning, J., Mullen, S. P., & McAuley, E. (2012). Increasing physical activity with mobile devices: a meta-analysis. J Med Internet Res, 14(6), e161. https://doi.org/10.2196/jmir.2171

Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., & Sarris, J. (2017). The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials. World Psychiatry, 16(3), 287–298. https://doi.org/10.1002/wps.20472

Forberger, S., Wichmann, F., & Comito, C. (2022). Nudges used to promote physical activity and to reduce sedentary behaviour in the workplace: Results of a scoping review. Preventive Medicine, 155, 106922. https://doi.org/https://doi.org/10.1016/j.ypmed.2021.106922

Fröberg, A., Raustorp, A., Pagels, P., Larsson, C. & Boldemann, C. . (2017). Levels of physical activity during physical education lessons in Sweden. Acta Paediatr(106), 135–141. https://doi.org/https://doi.org/10.1111/apa.13551

Gowin, M., Cheney, M., Gwin, S., & Franklin Wann, T. (2015). Health and Fitness App Use in College Students: A Qualitative Study. American Journal of Health Education, 46(4), 223–230. https://doi.org/10.1080/19325037.2015.1044140

Gurholt, K., & Sanderud, J. (2016). Curious play: children’s exploration of nature. Journal of Adventure Education and Outdoor Learning, 16, 1-12. https://doi.org/10.1080/14729679.2016.1162183

Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2020). Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health, 4(1), 23–35. https://doi.org/10.1016/s2352-4642(19)30323-2

He, Z., Wu, H., Yu, F., Fu, J., Sun, S., Huang, T., Wang, R., Chen, D., Zhao, G., & Quan, M. (2021). Effects of Smartphone-Based Interventions on Physical Activity in Children and Adolescents: Systematic Review and Meta-analysis. JMIR Mhealth Uhealth, 9(2), e22601. https://doi.org/10.2196/22601

Hosseinpour, M., & Terlutter, R. (2019). Your Personal Motivator is with You: A Systematic Review of Mobile Phone Applications Aiming at Increasing Physical Activity. Sports Med, 49(9), 1425-1447. https://doi.org/10.1007/s40279-019-01128-3

Jee, M., Khan, A., & Nazneen, N. (2021). Understanding Adolescents' Perceptions and Aspirations Towards Their Relationship With Personal Technology: Survey Study. JMIR Form Res, 5(12), e27852. https://doi.org/10.2196/27852

Krebs, P., & Duncan, D. T. (2015). Health App Use Among US Mobile Phone Owners: A National Survey. JMIR Mhealth Uhealth, 3(4), e101. https://doi.org/10.2196/mhealth.4924

Krueger, R. A., & Casey, M. A. (2015). Focus Groups: A Practical Guide for Applied Research. SAGE Publications, Inc. https://us.sagepub.com/en-us/nam/focus-groups/book243860

Laird, Y., Fawkner, S., Kelly, P., McNamee, L., & Niven, A. (2016). The role of social support on physical activity behaviour in adolescent girls: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity, 13(1), 79. https://doi.org/10.1186/s12966-016-0405-7

Lakicevic, N., Gentile, A., Mehrabi, S., Cassar, S., Parker, K., Roklicer, R., Bianco, A., & Drid, P. (2020). Make Fitness Fun: Could Novelty Be the Key Determinant for Physical Activity Adherence? [Opinion]. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.577522

Marques, A., Henriques-Neto, D., Peralta, M., Martins, J., Demetriou, Y., Schönbach, D. M. I., & Matos, M. G. (2020). Prevalence of Physical Activity among Adolescents from 105 Low, Middle, and High-income Countries. Int J Environ Res Public Health, 17(9). https://doi.org/10.3390/ijerph17093145

Middelweerd, A., van der Laan, D., van Stralen, M. M., Mollee, J., Stuij, M., te Velde, S., & Brug, J. (2015). What features do Dutch university students prefer in a smartphone application to promote physical activity? A qualitative approach. International Journal of Behavioral Nutrition and Physical Activity, 12(1), 31. https://doi.org/10.1186/s12966-015-0189-1

Modra, C., Domokos, M., & Petracovschi, S. (2021). The Use of Digital Technologies in the Physical Education Lesson: A Systematic Analysis of Scientific Literature. Timisoara Physical Education and Rehabilitation Journal, 14(26), 33-46. https://doi.org/doi:10.2478/tperj-2021-0004

Morgan, D., & Hoffman, K. (2018). The SAGE Handbook of Qualitative Data Collection. In. SAGE Publications Ltd. https://doi.org/10.4135/9781526416070

Mosa, A. S., Yoo, I., & Sheets, L. (2012). A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak, 12, 67. https://doi.org/10.1186/1472-6947-12-67

Nibbeling, N., Simons, M., Sporrel, K., & Deutekom, M. (2021). A Focus Group Study Among Inactive Adults Regarding the Perceptions of a Theory-Based Physical Activity App [Original Research]. Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.528388

OECD. (2019). OECD future of education 2030. Making physical education dynamic and inclusive for 2030. International curriculum analysis. https://www.oecd.org/education/2030-project/contact/oecd_future_of_education_2030_making_physical_dynamic_and_inclusive_for_2030.pdf, 2019( ).

OECD, & WHO. (2023). Step Up! Tackling the Burden of Insufficient Physical Activity in Europe. https://doi.org/doi:https://doi.org/10.1787/500a9601-en

Petersen, J., Kemps, E., Lewis, L., & Prichard, I. (2020). Psychological mechanisms underlying the relationship between commercial physical activity app use and physical activity engagement. Psychology of Sport and Exercise, 51, 101719. https://doi.org/https://doi.org/10.1016/j.psychsport.2020.101719

Reyes, V., Bogumil, E., & Welch, L. (2021). The Living Codebook: Documenting the Process of Qualitative Data Analysis. Sociological Methods & Research, 004912412098618. https://doi.org/10.1177/0049124120986185

Ruseski, J., Humphreys, B., Hallmann, K., & Breuer, C. (2011). Family structure, time constraints, and sport participation. European Review of Aging and Physical Activity, 8(2), 57-66. https://doi.org/10.1007/s11556-011-0084-y

Salway, R., Emm-Collison, L., Sebire, S. J., Thompson, J. L., Lawlor, D. A., & Jago, R. (2019). The association of school-related active travel and active after-school clubs with children’s physical activity: a cross-sectional study in 11-year-old UK children. International Journal of Behavioral Nutrition and Physical Activity, 16(1), 72. https://doi.org/10.1186/s12966-019-0832-3

Schoeppe, S., Alley, S., Van Lippevelde, W., Bray, N. A., Williams, S. L., Duncan, M. J., & Vandelanotte, C. (2016). Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. Int J Behav Nutr Phys Act, 13(1), 127. https://doi.org/10.1186/s12966-016-0454-y

Soliman, M., Rasheed, A., Hady, H. A., Jdaitawi, M., Khamees, A., & Abdelsalam, R. (2022). The impact of mobile phone fitness applications on the level of physical fitness and psychological well-being during covid-19: The case of university students. J Educ Health Promot, 11, 299. https://doi.org/10.4103/jehp.jehp_1802_21

Takano, N. (2015). Children’s Use of Mobile Phones 2014: A Special Report.

Teixeira, P., Carraça, E., Markland, D., Silva, M., & Ryan, R. (2012). Exercise, physical activity, and self-determination theory: a systematic review. Int J Behav Nutr Phys Act, 9, 78. https://doi.org/10.1186/1479-5868-9-78

Telama, R., Naul, R., Yang, X., Viikari, J., Välimäki, I., Wanne, O., & Raitakari, O. (2005). Physical activity from childhood to adulthood: A 21-year tracking study. American Journal of Preventive Medicine, 28(3), 267-273. https://doi.org/https://doi.org/10.1016/j.amepre.2004.12.003

Tondello, G. F., Mora, A., Marczewski, A., & Nacke, L. E. (2019). Empirical validation of the Gamification User Types Hexad scale in English and Spanish. International Journal of Human-Computer Studies, 127, 95-111. https://doi.org/https://doi.org/10.1016/j.ijhcs.2018.10.002

Tong, H. L., Quiroz, J. C., Kocaballi, A. B., Ijaz, K., Coiera, E., Chow, C. K., & Laranjo, L. (2022). A personalized mobile app for physical activity: An experimental mixed-methods study. Digit Health, 8, 20552076221115017. https://doi.org/10.1177/20552076221115017

USDHHS. (2018). Physical Activity Guidelines Advisory Committee Scientific.

van Sluijs, E. M., McMinn, A. M., & Griffin, S. J. (2007). Effectiveness of interventions to promote physical activity in children and adolescents: systematic review of controlled trials. Bmj, 335(7622), 703. https://doi.org/10.1136/bmj.39320.843947.BE

Aznar Díaz, I., Cáceres Reche, M., Trujillo Torres, J., & Romero Rodríguez, J. (2019). Impacto de las apps móviles en la actividad física: un meta-análisis (Impact of mobile apps on physical activity: A meta-analysis). Retos, 36(0), 52-57. doi:10.47197/retos.v36i36.66628

Bunn, J. A., Navalta, J. W., Fountaine, C. J., & Reece, J. D. (2018). Current State of Commercial Wearable Technology in Physical Activity Monitoring 2015-2017. Int J Exerc Sci, 11(7), 503-515.

Direito, A., Dale, L., Shields, E., Dobson, R., Whittaker, R., & Maddison, R. (2014). Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? BMC Public Health, 14, 646. doi:10.1186/1471-2458-14-646

Domin, A., Ouzzahra, Y., & Vögele, C. (2022). Features and Components Preferred by Adolescents in Smartphone Apps for the Promotion of Physical Activity: Focus Group Study. JMIR Hum Factors, 9(2), e33972. doi:10.2196/33972

Domin, A., Spruijt-Metz, D., Theisen, D., Ouzzahra, Y., & Vögele, C. (2021). Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR Mhealth Uhealth, 9(7), e24308. doi:10.2196/24308

Forberger, S., Wichmann, F., & Comito, C. (2022). Nudges used to promote physical activity and to reduce sedentary behaviour in the workplace: Results of a scoping review. Preventive Medicine, 155, 106922. doi:https://doi.org/10.1016/j.ypmed.2021.106922

Gu, L., Gao, X., & Li, Y. (2022). What drives me to use TikTok: A latent profile analysis of users’ motives. Frontiers in psychology, 13. doi:10.3389/fpsyg.2022.992824

Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2020). Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health, 4(1), 23-35. doi:10.1016/s2352-4642(19)30323-2

Hosseinpour, M., & Terlutter, R. (2019). Your Personal Motivator is with You: A Systematic Review of Mobile Phone Applications Aiming at Increasing Physical Activity. Sports Med, 49(9), 1425-1447. doi:10.1007/s40279-019-01128-3

Lakicevic, N., Gentile, A., Mehrabi, S., Cassar, S., Parker, K., Roklicer, R., . . . Drid, P. (2020). Make Fitness Fun: Could Novelty Be the Key Determinant for Physical Activity Adherence? Frontiers in psychology, 11, 577522. doi:10.3389/fpsyg.2020.577522

Middelweerd, A., van der Laan, D., van Stralen, M. M., Mollee, J., Stuij, M., te Velde, S., & Brug, J. (2015). What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach. International Journal of Behavioral Nutrition and Physical Activity, 12(1), 31. doi:10.1186/s12966-015-0189-1

Park, J. H., Moon, J. H., Kim, H. J., Kong, M. H., & Oh, Y. H. (2020). Sedentary Lifestyle: Overview of Updated Evidence of Potential Health Risks. Korean J Fam Med, 41(6), 365-373. doi:10.4082/kjfm.20.0165

Ruseski, J., Humphreys, B., Hallmann, K., & Breuer, C. (2011). Family structure, time constraints, and sport participation. European Review of Aging and Physical Activity, 8(2), 57-66. doi:10.1007/s11556-011-0084-y

Salway, R., de Vocht, F., Emm-Collison, L., Sansum, K., House, D., Walker, R., . . . Jago, R. (2023). Comparison of children's physical activity profiles before and after COVID-19 lockdowns: A latent profile analysis. PLOS ONE, 18(11), e0289344. doi:10.1371/journal.pone.0289344

Santos Labrador, R. M., & Melero Ventola, A. R. . (2023). Variables asociadas a la motivación hacia la práctica de actividad física en adolescentes. Retos, 50, 925–930. doi: https://doi.org/10.47197/retos.v50.96892

Schoeppe, S., Alley, S., Van Lippevelde, W., Bray, N. A., Williams, S. L., Duncan, M. J., & Vandelanotte, C. (2016). Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. Int J Behav Nutr Phys Act, 13(1), 127. doi:10.1186/s12966-016-0454-y

Soliman, M., Rasheed, A., Hady, H. A., Jdaitawi, M., Khamees, A., & Abdelsalam, R. (2022). The impact of mobile phone fitness applications on the level of physical fitness and psychological well-being during covid-19: The case of university students. J Educ Health Promot, 11, 299. doi:10.4103/jehp.jehp_1802_21

Sporrel, K., De Boer, R. D. D., Wang, S., Nibbeling, N., Simons, M., Deutekom, M., . . . Kröse, B. (2020). The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining. Front Public Health, 8, 528472. doi:10.3389/fpubh.2020.528472

Takano, N. (2015). Children’s Use of Mobile Phones 2014: A Special Report. Retrieved from

Teixeira, P., Carraça, E., Markland, D., Silva, M., & Ryan, R. (2012). Exercise, physical activity, and self-determination theory: a systematic review. Int J Behav Nutr Phys Act, 9, 78. doi:10.1186/1479-5868-9-78

Thornton, L., Gardner, L. A., Osman, B., Green, O., Champion, K. E., Bryant, Z., . . . Chapman, C. (2021). A Multiple Health Behavior Change, Self-Monitoring Mobile App for Adolescents: Development and Usability Study of the Health4Life App. JMIR Form Res, 5(4), e25513. doi:10.2196/25513

Torres, G., Neophytou, N., Fourie, P., Buntting, X., Constantinou, D., & Gradidge, P. L. (2021). 'I'm doing it for myself': Using a smartphone-based exercise service during the COVID-19 lockdown in the Faculty of Health Sciences, University of the Witwatersrand, South Africa. S Afr J Sports Med, 33(1), v33i31a9053. doi:10.17159/2078-516X/2021/v33i1a9053

USDHHS. (2018). Physical Activity Guidelines Advisory Committee Scientific. Retrieved from Washington, DC, USA: 2018:

Warburton, D. E., & Bredin, S. S. (2017). Health benefits of physical activity: a systematic review of current systematic reviews. Current opinion in cardiology, 32(5), 541-556. doi:10.1097/hco.0000000000000437

WHO. (2018). Global action plan on physical activity 2018–2030: more active people for a healthier world. Retrieved from Geneva:

Yau, K. W., Tang, T. S., Görges, M., Pinkney, S., Kim, A. D., Kalia, A., & Amed, S. (2022). Effectiveness of Mobile Apps in Promoting Healthy Behavior Changes and Preventing Obesity in Children: Systematic Review. JMIR Pediatr Parent, 5(1), e34967. doi:10.2196/34967

WHO. (2018). Global action plan on physical activity 2018–2030: more active people for a healthier world.

Xiao, W., Wu, J., Yip, J., Shi, Q., Peng, L., Lei, Q. E., & Ren, Z. (2022). The Relationship Between Physical Activity and Mobile Phone Addiction Among Adolescents and Young Adults: Systematic Review and Meta-analysis of Observational Studies. JMIR Public Health Surveill, 8(12), e41606. https://doi.org/10.2196/41606

Yau, K. W., Tang, T. S., Görges, M., Pinkney, S., Kim, A. D., Kalia, A., & Amed, S. (2022). Effectiveness of Mobile Apps in Promoting Healthy Behavior Changes and Preventing Obesity in Children: Systematic Review. JMIR Pediatr Parent, 5(1), e34967. https://doi.org/10.2196/34967

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2024-07-01

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Gomes, L., Teixeira , D. ., Slawinska , M. ., Davis , P. ., López-Flores , M. . ., Nyström, M. ., Silva , M. . ., Palmeira , A., & Pereira , H. (2024). Perspectivas de adolescentes sobre aplicativos de smartphone para promoção de atividade física: perspectivas de grupos focais. Retos, 56, 85–94. https://doi.org/10.47197/retos.v56.104357

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Vol. 56 (2024)

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Experiências didáticas desenvolvidas e investigadas com trabalhos empíricos

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