Uso de las redes sociales en la motivación y los niveles de actividad física entre jóvenes adultos filipinos de la Generación Z sin entrenamiento
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https://doi.org/10.17979/sportis.2025.11.3.11916Resumen
El estudio tiene como objetivo investigar la capacidad predictiva de la adicción a las redes sociales sobre la actividad física y la motivación para hacer ejercicio. Se utilizó un diseño de investigación cuantitativo con análisis predictivo para examinar la influencia de la adicción a las redes sociales en los niveles de actividad física y la motivación para ejercitarse. Un total de 165 estudiantes matriculados en el curso de Actividad Física para la Salud y el Fitness 1 en una universidad estatal de la Región 3, Filipinas, fueron seleccionados mediante muestreo aleatorio simple, basado en criterios de inclusión y exclusión previamente establecidos.Los datos se recopilaron a través de un formulario de Google que contenía tres instrumentos validados: la Escala de Adicción a las Redes Sociales de Bergen (BSMAS) para evaluar la adicción a las redes sociales, el Cuestionario Internacional de Actividad Física (IPAQ) para medir la actividad física en unidades MET, y el Inventario de Motivación para el Ejercicio-2 (EMI-2) para evaluar la motivación para hacer ejercicio. Se obtuvo la aprobación ética antes de la recopilación de datos, y las respuestas fueron analizadas mediante regresión lineal múltiple utilizando SPSS versión 30. Los resultados descriptivos muestran que los hombres presentan niveles más altos de actividad física y motivación para hacer ejercicio, mientras que las mujeres reportan una mayor adicción a las redes sociales. Además, se analizó que la adicción a las redes sociales no fue un predictor significativo de los niveles de actividad física ni de la motivación para hacer ejercicio y sus subescalas. Estos hallazgos sugieren que las redes sociales pueden no influir significativamente en el comportamiento relacionado con el ejercicio, por lo que no se recomienda el minimalismo digital en el contexto de la actividad física.Se recomienda que futuras investigaciones incorporen análisis predictivos comparativos basados en el género, utilicen herramientas objetivas como rastreadores de actividad física, y examinen los efectos específicos de cada plataforma para comprender mejor el papel de las redes sociales en la motivación para el ejercicio entre distintos grupos.
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Akbari, M., Seydavi, M., Zamani, E., & Griffiths, M. (2022). The risk of exercise addiction mediates the relationship between social media use and mental health indices among young Iranians. Addiction Research & Theory, 32(1), 27–37. https://doi.org/10.1080/16066359.2022.2149742
American College of Sports Medicine. (2018). ACSM's guidelines for exercise testing and prescription (10th ed.). Wolters Kluwer.
Andreassen, C. S., Pallesen, S., & Griffiths, M. D. (2017). The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64, 287–293. https://doi.org/10.1016/j.addbeh.2016.03.006
Baig, F., Elahib, T., & Javed, M. (2023). Impact of social media fitness contents on health and exercise motivation. International Journal of Health Promotion and Education, 61(3), 250–265. https://doi.org/10.31703/gdpmr.2023(VI-IV).05
Bányai, F., Zsila, Á., Király, O., Maraz, A., Elekes, Z., Griffiths, M. D., & Demetrovics, Z. (2017). Problematic social media use: Results from a large-scale nationally representative adolescent sample. PLOS ONE, 12(1), e0169839. https://doi.org/10.1371/journal.pone.0169839
Barnes, M. L., Lynham, J., Kalberg, K., & Leung, P. (2016). Social networks and environmental outcomes. Proceedings of the National Academy of Sciences, 113(23), 6466-6471.
Best, M. J., Garver, C. L., & Williamson, D. (2024). Motivations, barriers, and social media volume usage: The impact on physical activity participation. Journal of Behavioral Medicine, 47(1), 102–115. https://doi.org/10.55860/f3e9zc09
Booth, F. W., Roberts, C. K., & Laye, M. J. (2012). Lack of exercise is a major cause of chronic diseases. Comprehensive Physiology, 2(2), 1143–1211. https://doi.org/10.1002/cphy.c110025
Booth, M. L. (2000). Assessment of physical activity: An international perspective. Research Quarterly for Exercise and Sport, 71(2_sup2), 114–120. https://doi.org/10.1080/02701367.2000.11082794
Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210–230. https://doi.org/10.1111/j.1083-6101.2007.00393.x
Brailovskaia, J., & Margraf, J. (2020). Relationship between depression symptoms, physical activity, and addictive social media use. Cyberpsychology, Behavior, and Social Networking. https://doi.org/10.1089/cyber.2020.0255
Caspersen, C. J., Powell, K. E., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Reports, 100(2), 126–131.
Copez-Lonzoy, A., Vallejos-Flores, M., & Caycho-Rodríguez, T. (2023). Adaptation of the Bergen Social Media Addiction Scale in Peruvian university students: Validity and reliability. Journal of Technology in Behavioral Science, 8(1), 45–57. https://doi.org/10.1016/j.actpsy.2023.104072
Craig, C. L., Marshall, A. L., Sjöström, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., ... & Oja, P. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine & Science in Sports & Exercise, 35(8), 1381–1395. https://doi.org/10.1249/01.MSS.0000078924.61453.FB
Dadiotis, M., Bacopoulou, F., Tsitsika, A., & Dimitriou, E. (2021). Validation of the Greek version of the Bergen Social Media Addiction Scale in Greek adolescents. International Journal of Mental Health and Addiction, 19(6), 2070–2083. https://doi.org/10.14806/ej.26.1.975
Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
Demirci, I. (2019). The adaptation of the Bergen Social Media Addiction Scale to Turkish and the evaluation of its psychometric properties. Dusunen Adam: The Journal of Psychiatry and Neurological Sciences, 32(3), 254–263. https://doi.org/10.5455/apd.41585
DeVitis, C., Beddoes, Z., Sazama, D., & Hepler, T. J. (2020). The influence of posting physical activity posts to social networking sites on young adults’ physical activity engagement and motivational profiles. Production Engineer, 77(3), 595–614. https://doi.org/10.18666/tpe-2020-v77-i3-9630
Durau, J., Diehl, S., & Terlutter, R. (2022). Motivate me to exercise with you: The effects of social media fitness influencers on users’ intentions to engage in physical activity and the role of user gender. Digital Health, 8, 1–17. https://doi.org/10.1177/20552076221102769
Ekelund, U., Sepp, H., Brage, S., Becker, W., Jakes, R., Hennings, M., & Wareham, N. J. (2006). Criterion-related validity of the last 7-day, short form of the International Physical Activity Questionnaire in Swedish adults. Public Health Nutrition, 9(2), 258–265. https://doi.org/10.1079/PHN2005840
Erbaş, Ü., & Gümüş, H. (2020). Participation in physical activity and social media addiction in students. International Journal of Psychology and Educational Studies, 7(4), 52–60. https://doi.org/10.17220/IJPES.2020.04.006
Espada, M., Romero-Parra, N., Bores-García, D., & Delfa-De La Morena, J. M. (2023). Gender Differences in University Students’ Levels of Physical Activity and Motivations to Engage in Physical Activity. Education Sciences, 13(4), 340. https://doi.org/10.3390/educsci13040340
Fardouly, J., Willburger, B. K., & Vartanian, L. R. (2018). Instagram use and young women’s body image concerns and self-objectification: Testing mediational pathways. New media & society, 20(4), 1380-1395.
Food and Nutrition Research Institute. (2019). Expanded National Nutrition Survey 2019. FNRI-Department of Science and Technology.
Guedes, D. P., Legnani, R. F. S., & Legnani, E. (2012). Propriedades psicométricas da versão brasileira do Exercise Motivation Inventory (EMI-2). Motricidade, 8(3), 5–15. https://doi.org/10.1590/S1980-65742012000400005
Gurjar, S. (2022). Understanding motivation: A psychological approach to behavior. Sage Publications.
Helmerhorst, H. J. F., Brage, S., Warren, J., Besson, H., & Ekelund, U. (2012). A systematic review of reliability and objective criterion-related validity of physical activity questionnaires. International Journal of Behavioral Nutrition and Physical Activity, 9(1), 103. https://doi.org/10.1186/1479-5868-9-103
Huang, P.-C., Geusens, F., Tu, H.-F., Fung, X. C. C., & Chen, C.-Y. (2024). Association between problematic social media use and physical activity: The mediating roles of nomophobia and the tendency to avoid physical activity. Journal of Social Media Research. https://doi.org/10.29329/jsomer.4
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003
Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31, 351–354. https://doi.org/10.1016/j.chb.2013.10.059
Kim, S.-H., & Cho, D. (2023). Validation of exercise motivations inventory – 2 (EMI-2) scale for college students. Journal of American College Health, 71(2), 158–166. https://doi.org/10.1080/07448481.2020.1726929
Klain, I. P., & Matos, D. G. (2015). Evidências de validade da versão brasileira do Exercise Motivation Inventory-2 (EMI-2). Revista Brasileira de Cineantropometria & Desempenho Humano, 17(3), 269–283. https://doi.org/10.6063/motricidade.3551
Kubaisy, W. A., Mohamad, M., Ismail, Z., & Abdullah, N. (2015). Gender differences: Motivations for performing physical exercise among adults in Shah Alam. Procedia - Social and Behavioral Sciences, 202, 522–530. https://doi.org/10.1016/j.sbspro.2015.08.181
Lin, B., Teo, E., & Yan, T. (2022). The impact of smartphone addiction on Chinese university students’ physical activity: Exploring the role of motivation and self-efficacy. Psychology Research and Behavior Management, 15, 2273–2290. https://doi.org/10.2147/PRBM.S375395
Ma, C., Jin, L., & Liu, X. (2025). The Bergen Facebook Addiction Scale: A reliability and validity meta-analysis. Journal of Behavioral Addictions, 4(3), 123–134. https://doi.org/10.3389/fpsyg.2024.1444039
Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357–365. https://doi.org/10.1016/j.bushor.2009.03.002
Markland, D., & Ingledew, D. K. (1997). The measurement of exercise motives: Factorial validity and invariance across gender of a revised Exercise Motivations Inventory. British Journal of Health Psychology, 2(4), 361–376. https://doi.org/10.1111/j.2044-8287.1997.tb00549.x
Minutillo, A., Di Trana, A., Aquilina, V., Ciancio, G. M., Berretta, P., & La Maida, N. (2024). Recent insights in the correlation between social media use, personality traits and exercise addiction: A literature review. Frontiers in Psychiatry, 15. https://doi.org/10.3389/fpsyt.2024.1392317
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
Nadkarni, A., & Hofmann, S. G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3), 243–249. https://doi.org/10.1016/j.paid.2011.11.007
O'Reilly, T. (2005). What is Web 2.0: Design patterns and business models for the next generation of software. O'Reilly Media.
Palaming, C. (2016). Psychological perspectives on motivation: A review. Journal of Psychological Studies, 10(2), 145–158.
PhilStar Life. (2023). The rise of physical inactivity: How modern lifestyles contribute to health risks. PhilStar Life News. https://www.philstarlife.com
Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. Simon & Schuster.
Sönmez, E., Terzi, H., & Şahin, D. (2025).. Social media addiction and cognitive-behavioral physical activity: A study among adolescent girls. Journal of Adolescent Health, 78(1), 55–62. https://doi.org/10.1111/phn.13446
Sarı, E. S., Terzi, H., & Şahin, D. (2024). Social media addiction and cognitive behavioral physical activity among adolescent girls: A cross-sectional study. Public Health Nursing. https://doi.org/10.1111/phn.13446
Shani, N., & Divyapriya, P. (2011). Developing creative and innovative culture in organization. International Journal of Management, 2(1), 52-57.
Shin, H. (2022). Psychometric properties of the Korean version of the Bergen Social Media Addiction Scale. Addictive Behaviors, 125, 107161. https://doi.org/10.30773/pi.2021.0294
Simpson, E. H., & Balsam, P. D. (2016). The Behavioral Neuroscience of Motivation: An Overview of Concepts, Measures, and Translational Applications. Current topics in behavioral neurosciences, 27, 1–12. https://doi.org/10.1007/7854_2015_402
Spiteri, K., Caruana, N., & Camilleri, E. (2022). Psychometric testing of the Maltese versions of the Exercise Motivation Inventory-2 and the Physical Activity and Leisure Motivation Scale. International Journal of Sport and Exercise Psychology, 20(2), 124–139. https://doi.org/10.52965/001c.37515
Statista. (2023). Survey on health and fitness perceptions in the Philippines. https://www.statista.com
Todorovic, J., Terzić-Šupić, Z., Djikanovic, B., Nešić, D., Piperac, P., & Stamenkovic, Z. (2019). Can social media intervention improve physical activity of medical students? Public Health, 174, 69–73. https://doi.org/10.1016/j.puhe.2019.05.030
Tohidi, H., & Jabbari, M. M. (2012). The effects of motivation in education. Procedia - Social and Behavioral Sciences, 31, 820–824. https://doi.org/10.1016/j.sbspro.2011.12.148
Tong, W., Bono, S. A., & Low, W. (2023). The impact of social media on mental health among young people. Asia Pacific Journal of Public Health, 35(5), 449–450. https://doi.org/10.1177/10105395231198919
Tufekci, Z. (2017). Twitter and tear gas: The power and fragility of networked protest. Yale University Press.
Wang, Q., Zhang, J., & Xiao, M. (2025). Association between social media use, physical activity level, and depression and anxiety among college students: A cross-cultural comparative study. Scientific Reports, 15, 6596. https://doi.org/10.1038/s41598-025-88140-y
Warburton, D. E. R., & Bredin, S. S. D. (2017). Health benefits of physical activity: A review of current systematic reviews. Current Opinion in Cardiology, 32(5), 541–556. https://doi.org/10.1097/HCO.0000000000000437
Wood, H. C., & Watson, P. (2023). Critical consumers: How do young women with high autonomous motivation for exercise navigate fitness social media? Computers in Human Behavior, 148, 107893. https://doi.org/10.1016/j.chb.2023.107893
World Health Organization. (2020). Global recommendations on physical activity for health. https://www.who.int/publications/i/item/9789241599979