Academic Scientific JournalsFear of COVID-19 changes the motivation for physical activity participation: Polish-Chinese comparisons
Keywords:
COVID-19 anxiety, motives for physical activity, nationalityAbstract
Background
COVID-19 has brought people many negative emotions, such as fear and anxiety about the epidemic. However, when people in different countries face the COVID-19 epidemic, the impact is also different due to different cultural and sports habits. Therefore, this study compares China and Poland’s sports motivations in the face of COVID-19 anxiety to find out the cultural differences behind them.
Participants and procedure
In the study were N = 674 participants (female n = 407, male n = 260, other n = 4). Their average age was M = 29.86, SD = 11.03. There were n = 381 participants in the Chinese sample, and n = 293 in Polish. The scales used for the purpose of the study were the Inventory of Physical Activity Objectives (IPAO) and the Coronavirus Anxiety Scale (CAS).
Results
The study results showed that the increased level of COVID-19 anxiety changed selected motives for physical activity, and different changes of motives characterized women and men as well as people of different ages. As predicted in the study model, culture was the moderator of the shifts of the selected motives.
Conclusions
The understanding of what motivates individuals to participate in sport seems to have significant value, especially for health practitioners and researchers to design appropriate interventions and programs to increase activity.
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References
Angosto, S., Berengüí, R., Vegara-Ferri, J. M., & LópezGullón, J. M. (2020). Motives and commitment to sport in amateurs during confinement: a segmentation study. International Journal of Environmental Research and Public Health, 17, 7398. https:// doi.org/10.3390/ijerph17207398.
Constandt, B., Thibaut, E., De Bosscher, V., Scheerder, J., Ricour, M., & Willem, A. (2020). Exercising in times of lockdown: an analysis of the impact of COVID-19 on levels and patterns of exercise among adults in Belgium. International Journal of Environmental Research and Public Health, 17, 4144. https://doi.org/10.3390/ijerph17114144.
Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. Management Information Systems Quarterly, 39, 297–316. https:// doi.org/10.25300/MISQ/2015/39.2.02.
García-Tascón, M., Sahelices-Pinto, C., MendañaCuervo, C., & Magaz-González, A. M. (2020). The impact of the COVID-19 confinement on the habits of PA practice according to gender (male/ female): Spanish case. International Journal of Environmental Research and Public Health, 17, 6961. https://doi.org/10.3390/ijerph17196961.
Health, T. L. P. (2019). Time to tackle the physical activity gender gap. The Lancet Public Health, 4, e360. https://doi.org/10.1016/S2468-2667(19)30135-5.
Hickey, M. E., & Mason, S. E. (2017). Age and gender differences in participation rates, motivators for, and barriers to exercise. Modern Psychological Studies, 22, 10–19.
Jancey, J. M., Clarke, A., Howat, P., Maycock, B., & Lee, A. H. (2009). Perceptions of physical activity by older adults: a qualitative study. Health Education Journal, 68, 196–206. https://doi.org/ 10.1177/0017896909339531.
Kaur, H., Singh, T., Arya, Y. K., & Mittal, S. (2020). Physical fitness and exercise during the COVID-19 pandemic: a qualitative enquiry. Frontiers in Psychology, 11, 590172. https://doi.org/10.3389/fpsyg. 2020.590172.
Kock, N. (2010). Using WarpPLS in e-collaboration studies: an overview of five main analysis steps. International Journal of E-Collaboration, 6, 1–11. https://doi.org/10.4018/jec.2010100101.
Kock, N. (2014). Advanced mediating effects tests, multi-group analyses, and measurement model assessments in PLS-based SEM. International Journal of E-Collaboration, 10, 1–13. https://doi.org/ 10.4018/ijec.2014010101.
Kock, N. (2015). Common method bias in PLS-SEM: a full collinearity assessment approach. International Journal of E-Collaboration, 11, 1–10. https:// doi.org/10.4018/ijec.2015100101.
Kock, N. (2020). WarpPLS User Manual: Version 7.0 (7th ed.). ScriptWarp Systems. Kock, N., & Mayfield, M. (2015). PLS-based SEM algorithms: The good neighbor assumption, collinearity, and nonlinearity. Information Management and Business Review, 7, 113–130. https://doi. org/10.22610/imbr.v7i2.1146.
Lee, S. L. (2020). Coronavirus Anxiety Scale: a brief mental health screener for COVID-19 related anxiety. Death Studies, 44, 393–401. https://doi.org/10. 1080/07481187.2020.1748481.
Leyton Román, M., García Matador, J., Fuentes García, J. P., & Jiménez Castuera, R. (2018). Análisis de variables motivacionales y de estilos de vida saludables en practicantes de ejercicio físico en centros deportivos en función del género [Analysis of motivational variables and healthy lifestyles in sports center practitioners by gender]. Retos: Nuevas Perspectivas de Educación Física, Deporte y Recreación, 34, 166–171. https://doi.org/10.47197/ retos.v0i34.58281.
Lipowski, M., & Ussorowska, A. (2018). The motivational function of an objective in physical activity and sport. Current Issues in Personality Psychology, 6, 57–66. https://doi.org/10.5114/CIPP.2018.72054.
Lipowski, M., & Zaleski, Z. (2015). Inventory of Physical Activity Objectives – a new method of measuring motives for physical activity and sport. Health Psychology Report, 1, 47–58. https://doi. org/10.5114/hpr.2015.49462.
Louw, A. J., Van Biljon, A., & Mugandani, S. C. (2012). Exercise motivation and barriers among men and women of different age groups. African Journal for Physical, Health Education, Recreation & Dance, 18, 759–768.
Maciaszek, J., Ołpińska-Lischka, M., Pospieszna, B., Knisel, E., Honsová, Š., Epping, R., & Bronikowski, M. (2020). Physical activity rates of male and female students from selected European physical education universities. Trends in Sport Sciences, 27, 63–69. https://doi.org/10.23829/TSS.2020.27.2-3.
Meyer, J., McDowell, C., Lansing, J., Brower, C., Smith, L., Tully, M., & Herring, M. (2020). Changes in physical activity and sedentary behavior in response to COVID-19 and their associations with mental health in 3052 US adults. International Journal of Environmental Research and Public Health, 17, 6469. https://doi.org/10.3390/ijerph17186469.
Molanorouzi, K., Khoo, S., & Morris, T. (2015). Motives for adult participation in physical activity: Type of activity, age, and gender. BMC Public Health, 15, 66. https://doi.org/10.1186/s12889-015-1429-7.
Moradi, J., Bahrami, A., & Dana, A. (2020). Motivation for participation in sports based on athletes in team and individual sports. Physical Culture and Sport. Studies and Research, 85, 14–21 https:// doi.org/10.2478/pcssr-2020-0002.
Morris, T., & Roychowdhury, D. (2020). Physical activity for health and well-being: The role of motives for participation. Health Psychology Report, 8, 391–407. https://doi.org/10.5114/hpr.2020.100111.
Ornell, F., Schuch, J. B., Sordi, A. O., & Kessler, F. H. P. (2020). “Pandemic fear” and COVID-19: Mental health burden and strategies. Brazilian Journal of Psychiatry, 42, 232–235. https://doi.org/10.1590/ 1516-4446-2020-0008.
Pearl, J. (2009). Causality: Models reasoning, and interference (2nd ed.). Cambridge University Press. Peeri, N. C., Shrestha, N., Rahman, M. S., Zaki, R., Tan, Z., Bibi, S., Baghbanzadeh, M., Aghamohammadi, N., Zhang, W., & Haque, U. (2020). The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: What lessons have we learned? International Journal of Epidemiology, 49, 717–726. https:// doi.org/10.1093/ije/dyaa033.
Rodríguez-Entrena, M., Schuberth, F., & Gelhard, C. (2018). Assessing statistical differences between parameters estimates in Partial Least Squares path modeling. Quality & Quantity, 52, 57–69. https://doi.org/10.1007/s11135-016-0400-8.
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48, 159–205. https://doi. org/10.1016/j.csda.2004.03.005.
Topcu, Z. G., Kaygısız, B. B., & Demiralp, C. (2020). How are the physical activity and anxiety levels of the university students affected during the coronavirus (COVID-19) pandemic? Baltic Journal of Health and Physical Activity, 1, 33–40. https://doi. org/10.29359/BJHPA.2020.Suppl.1.03.
Ugbolue, U., Duclos, M., Urzeala, C., Berthon, M., Kulik, K., Bota, A., Thivel, D., Bagheri, R., Gu, Y., Baker, J., Andant, N., Pereira, B., Rouffiac, K., Clinchamps, M., Dutheil, F., & on behalf of the COVISTRESS Network (2020). An assessment of the novel COVISTRESS Questionnaire: COVID-19 impact on physical activity, sedentary action and psychological emotion. Journal of Clinical Medicine, 9, 3352. https://doi.org/10.3390/jcm9103352.
Violant-Holz, V., Gallego-Jiménez, M. G., GonzálezGonzález, C. S., Muñoz-Violant, S., Rodríguez, M. J., Sansano-Nadal, O., & Guerra-Balic, M. (2020). Psychological health and physical activity levels during the COVID-19 pandemic: a systematic review. International Journal of Environmental Research and Public Health, 17, 9419. https://doi.org/10.3390/ ijerph17249419.
Wang, X., Lei, S. M., Le, S., Yang, Y., Zhang, B., Yao, W., Gao, Z., & Cheng, S. (2020). Bidirectional influence of the COVID-19 pandemic lockdowns on health behaviors and quality of life among Chinese adults. International Journal of Environmental Research and Public Health, 17, 5575. https://doi. org/10.3390/ijerph17155575.
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., Niu, P., Zhan, F., Ma, X., Wang, D., Xu, W., Wu, G., Gao, G. F., & Tan, W. (2020). A novel coronavirus from patients with pneumonia in China, 2019. New England Journal of Medicine, 382, 727–733. https://doi. org/10.1056/NEJMoa2001017.
