O panorama do fitness após a pandemia de COVID-19: fatores determinantes da participação em ginásios comerciais na Indonésia

Autores

  • Bayu Ristiawan universitas negeri surabaya
  • Eva Ferdita Yuhantini
  • Hapsari Shinta Citra Puspita Dewi
  • Erta Erta
  • Suryanto Agung Prabowo
  • Nur Salsabila Rhesa Pandhadha Putra
  • Suparata Kiartivich
  • Haniifan Muhammad Naim
  • Catur Supriyanto
  • Surono Surono
  • Sri Wahyuni
  • Dewangga Yudhistira universitas negeri surabaya

DOI:

https://doi.org/10.47197/retos.v74.118072

Palavras-chave:

Participação em atividades físicas, pós-COVID-19, ginásios comerciais, Indonésia, PLS-SEM

Resumo

Introdução e Objectivo: A pandemia de COVID-19 alterou os padrões de actividade física em todo o mundo, impulsionando o exercício em casa e a utilização de plataformas digitais. No contexto pós-pandemia, este estudo visa analisar os fatores que influenciam o regresso da população indonésia aos ginásios comerciais, considerando a sensibilização para a saúde, a perceção de segurança, a experiência digital de fitness, a motivação social e a qualidade do serviço.

Metodologia: Foi utilizada uma abordagem quantitativa explicativa com um desenho transversal. Os dados foram recolhidos junto de 1.040 membros ativos de ginásios em diversas cidades importantes da Indonésia e analisados ​​através de modelação de equações estruturais com mínimos quadrados parciais (PLS-SEM).

Resultados: Os resultados indicam que o modelo explica 57,1% da variância da participação em atividades físicas. Todas as relações hipotetizadas foram estatisticamente significativas. A qualidade do serviço foi o preditor mais forte, seguida pela perceção de segurança e pela sensibilização para a saúde. A motivação social influenciou indiretamente a participação através da melhoria da qualidade do serviço, enquanto a experiência digital de fitness fortaleceu a relação entre a perceção de segurança e a participação. Conclusão: A participação em atividades físicas na Indonésia após a pandemia é determinada pela interação de fatores de saúde, segurança, digitais, sociais e de serviços, o que realça a necessidade de estratégias integradas para revitalizar o setor do fitness.

Referências

Beldad, A. D., & Hegner, S. M. (2018). Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach. International Journal of Human-Computer Interaction, 34(9), 882–893. https://doi.org/10.1080/10447318.2017.1403220

Bu, F., Bone, J. K., Mitchell, J. J., Steptoe, A., & Fancourt, D. (2021). Longitudinal changes in physical activity during and after the first national lockdown due to the COVID-19 pandemic in England. Scientific Reports, 11(1), 1–10. https://doi.org/10.1038/s41598-021-97065-1

Chou, T. Y., & Lee, P. Y. (2023). Predicting Athlete Intentions for Using Sports Complexes in the Post-Pandemic Era. International Journal of Environmental Research and Public Health, 20(6). https://doi.org/10.3390/ijerph20064864

Chtourou, H., Trabelsi, K., H’Mida, C., Boukhris, O., Glenn, J. M., Brach, M., Bentlage, E., Bott, N., Jesse Shephard, R., Ammar, A., & Luigi Bragazzi, N. (2020). Staying physically active during the quarantine and self-isolation period for controlling and mitigating the covid-19 pandemic: A systematic overview of the literature. Frontiers in Psychology, 11(August). https://doi.org/10.3389/fpsyg.2020.01708

Drehlich, M., Naraine, M., Rowe, K., Lai, S. K., Salmon, J., Brown, H., Koorts, H., Macfarlane, S., & Ridgers, N. D. (2020). Using the technology acceptance model to explore adolescents’ perspectives on combining technologies for physical activity promotion within an intervention: Usability study. Journal of Medical Internet Research, 22(3), 1–12. https://doi.org/10.2196/15552

Falese, L., Langiano, E., Ferrara, M., Diotaiuti, P., Rodio, A., Di Libero, T., Andrade, A., & De Vito, E. (2025). Perception of quality and adoption of health-preventive measures in gym-goers after the COVID-19 pandemic peak in Italy. BMC Public Health, 25(1). https://doi.org/10.1186/s12889-025-22870-6

García-Fernández, J., Gálvez-Ruíz, P., Fernández-Gavira, J., Vélez-Colón, L., Pitts, B., & Bernal-García, A. (2018). The effects of service convenience and perceived quality on perceived value, satisfaction and loyalty in low-cost fitness centers. Sport Management Review, 21(3), 250–262. https://doi.org/10.1016/j.smr.2017.07.003

García-Fernández, J., Gálvez-Ruiz, P., Velez-Colon, L., & Bernal-Garcia, A. (2016). Service convenience, perceived value, satisfaction, and loyalty: A study of consumers from low-cost fitness centers in Spain. Journal of Physical Education and Sport, 16(4), 1146–1152. https://doi.org/10.7752/jpes.2016.04184

Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). European Journal of Tourism Research, 6(2), 211–213.

Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431. https://doi.org/10.1108/IMR-09-2014-0304

Jiang, Z., Zhou, Q., Shu, H., & Jiang, L. (2025). Impact of COVID-19 on physical activity patterns in non-professional populations in Asia: a mini review of pre-, during, and post-pandemic periods. Frontiers in Public Health, 13(3). https://doi.org/10.3389/fpubh.2025.1604185

Lau, B., Sharma, I., Manku, S., Kobylianski, J., Wong, L. Y., Ibáñez-Carrasco, F., Carusone, S. C., & O’Brien, K. K. (2022). Considerations for developing and implementing an online community-based exercise intervention with adults living with HIV: A qualitative study. BMJ Open, 12(4), 1–10. https://doi.org/10.1136/bmjopen-2021-059294

Liu, S., Chiang, Y. Te, Tseng, C. C., Ng, E., Yeh, G. L., & Fang, W. T. (2018). The theory of planned behavior to predict protective behavioral intentions against PM2.5 in parents of young children from urban and rural Beijing, China. International Journal of Environmental Research and Public Health, 15(10), 1–17. https://doi.org/10.3390/ijerph15102215

Moghimi, R., Nasirzadeh, M., Ahmadinia, H., Pourmahmoudi, A., & Karimi, M. A. (2023). Effects of virtual interventions based on the theory of planned behavior to improve obesity-preventive lifestyle among girls, during COVID-19 pandemic. BMC Public Health, 23(1), 1–8. https://doi.org/10.1186/s12889-023-17259-2

Ned Kock. (2015). Common Method Bias in PLS-SEM. International Journal of E-Collaboration, 11(4), 1–10. https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijec.2015100101

Pu, B., Zhang, L., Tang, Z., & Qiu, Y. (2020). The relationship between health consciousness and home-based exercise in china during the covid-19 pandemic. International Journal of Environmental Research and Public Health, 17(16), 1–18. https://doi.org/10.3390/ijerph17165693

Sarstedt, M., & Liu, Y. (2024). Advanced marketing analytics using partial least squares structural equation modeling (PLS-SEM). Journal of Marketing Analytics, 12(1), 1–5. https://doi.org/10.1057/s41270-023-00279-7

Sharma, V., Payal, R., Dutta, K., Poulose, J., & Kapse, M. (2024). A comprehensive examination of factors influencing intention to continue usage of health and fitness apps: a two-stage hybrid SEM-ML analysis. Cogent Business and Management, 11(1). https://doi.org/10.1080/23311975.2024.2391124

Thompson, W. R. (2023). Worldwide Survey of Fitness Trends for 2023. ACSM’s Health and Fitness Journal, 27(1), 9–18. https://doi.org/10.1249/FIT.0000000000000834

Urban, I. N., Post, A., Nugroho, A. W., Septian, M., Wibowo, R., Kurniawan, A., & Woro, R. (2025). PHYSICAL ACTIVITY OF ELEMENTARY SCHOOL STUDENTS. 3(75), 5–14.

Wisutwattanasak, P., Champahom, T., Jomnonkwao, S., Aryuyo, F., Se, C., & Ratanavaraha, V. (2023). Examining the Impact of Service Quality on Passengers’ Intentions to Utilize Rail Transport in the Post-Pandemic Era: An Integrated Approach of SERVQUAL and Health Belief Model. Behavioral Sciences, 13(10). https://doi.org/10.3390/bs13100789

Zaccagni, L., Toselli, S., & Barbieri, D. (2021). Physical activity during covid-19 lockdown in italy: A systematic review. International Journal of Environmental Research and Public Health, 18(12). https://doi.org/10.3390/ijerph18126416

Zhou, N., Mu, F., Zhang, Y., Zang, D., Zhu, W., Wang, X., Wang, W., Li, H., Wang, J., Zhang, X., Li, C., Li, Y., He, M., Zhang, W., Liu, Q., Lu, B., Han, S., Li, Y., Zhang, Y., … Li, B. (2025). How electronic health literacy influences physical activity behaviour among university students: A moderated mediation model. Plos One, 20(8 August), 1–15. https://doi.org/10.1371/journal.pone.0330637

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Publicado

01-01-2026

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Secção

Artigos de caráter científico: trabalhos de pesquisas básicas e/ou aplicadas.

Como Citar

Ristiawan, B., Yuhantini, E. F., Puspita Dewi, H. S. C., Erta, E., Prabowo, S. A., Pandhadha Putra, N. S. R., Kiartivich, S., Naim, H. M., Supriyanto, C., Surono, S., Wahyuni, S., & Yudhistira, D. (2026). O panorama do fitness após a pandemia de COVID-19: fatores determinantes da participação em ginásios comerciais na Indonésia. Retos, 74, 945-956. https://doi.org/10.47197/retos.v74.118072