Diferencias de género en uso de aplicaciones móviles de ejercicio en alumnos de Entrenamiento Deportivo
DOI:
https://doi.org/10.29105/rcefod17.1-67Palabras clave:
sexo, teléfono inteligente, actividad física, salud, desempeñoResumen
Objetivo: Evaluar la influencia del género en las tendencias de uso y utilidad de aplicaciones de actividad física (AF), percepción de salud y razones para el ejercicio en estudiantes universitarios. Metodología: 288 estudiantes universitarios (192 hombres y 96 mujeres), con edades entre 19 a 32 años (M = 22.11, DE = 2.19) contestaron un formulario en línea para indicar su estado de salud, motivaciones para la práctica de la actividad física, comportamientos de descarga y uso de tecnologías móviles además de percepción de utilidad de las aplicaciones móviles. Las diferencias en proporción de uso de las aplicaciones y motivaciones para la práctica de AF entre hombres y mujeres se evaluó usando análisis de Chi cuadrada. Las diferencias de género en la percepción de utilidad de las aplicaciones se evaluaron por medio de U de Mann-Whitney. Resultados: Hombres tienen una mayor percepción de utilidad de las aplicaciones de AF (p < .05), una mayor adherencia al uso de las aplicaciones luego de descargar (p < .05) y mayor percepción de estado de salud (p < .05). No se encontraron diferencias de género en el comportamiento de descarga de aplicaciones en función de la motivación para hacer AF. El uso de aplicaciones móviles de actividad física no influye en la percepción de salud sin importar en género. Conclusiones: Para el diseño de intervenciones con tecnologías móviles se debe considerar diferencias de género. Las intervenciones de actividad física de aplicaciones de AF basadas en género parecen ser más apropiadas para objetivos de salud y rendimiento.
Descargas
Citas
Andrieieva, Olena, Anna Hakman, Vitalii Kashuba, Maryna Vasylenko, Kostiantyn Patsaliuk, Andrii Koshura, and Iryna Istyniuk. 2019. “Effects of Physical Activity on Aging Processes in Elderly Persons.” Journal of Physical Education and Sport 19(4):1308–14. doi: 10.7752/jpes.2019.s4190. DOI: https://doi.org/10.7752/jpes.2019.s4190
Aroni, André, Elmer Castillo, Catarina Sousa, Afonso Machado, Edson Filho, and Gershon Tenenbaum. 2017. “Smartphone Applications Used for Initiating and Maintaining Physical Activity: An Exploratory Analysis.” Revista de Psicologia Del Deporte 27(4):89–95.
Azar, Kristen M. J., Lenard I. Lesser, Brian Y. Laing, Janna Stephens, Magi S. Aurora, Lora E. Burke, and Latha P. Palaniappan. 2013. “Mobile Applications for Weight Management: Theory-Based Content Analysis.” American Journal of Preventive Medicine 45(5):583–89. doi: 10.1016/j.amepre.2013.07.005. DOI: https://doi.org/10.1016/j.amepre.2013.07.005
Brickwood, Katie Jane, Greig Watson, Jane O’Brien, and Andrew D. Williams. 2019. “Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis.” Journal of Medical Internet Research Mhealth and Uhealth 7(4):e11819. doi: 10.2196/11819. DOI: https://doi.org/10.2196/11819
Byun, Hyun, Weisheng Chiu, and Jung Sup Bae. 2018. “Exploring the Adoption of Sports Brand Apps: An Application of the Modified Technology Acceptance Model.” International Journal of Asian Business and Information Management 9(1):52–65. doi: 10.4018/IJABIM.2018010105. DOI: https://doi.org/10.4018/IJABIM.2018010105
Chiu, Weisheng, Heetae Cho, and Christina G. Chi. 2020. “Consumers’ Continuance Intention to Use Fitness and Health Apps: An Integration of the Expectation–confirmation Model and Investment Model.” Information Technology & People Ahead of p:1–21. doi: https://doi.org/10.1108/ITP-09-2019-0463. DOI: https://doi.org/10.1108/ITP-09-2019-0463
Cho, Jaehee. 2016. “The Impact of Post-Adoption Beliefs on the Continued Use of Health Apps.” International Journal of Medical Informatics 87(1):75–83. doi: 10.1016/j.ijmedinf.2015.12.016. DOI: https://doi.org/10.1016/j.ijmedinf.2015.12.016
Cho, Jaehee, H.Erin Lee, Sun Jin Kim, and Dongjin Park. 2015. “Effects of Body Image on College Students’ Attitudes toward Diet/fitness Apps on Smartphones.” Cyberpsychology, Behavior, and Social Networking 18(1):41–45. doi: 10.1089/cyber.2014.0383. DOI: https://doi.org/10.1089/cyber.2014.0383
Cortes, Patricia, and Jessica Pan. 2017. “Cross-Country Evidence on the Relationship between Overwork and Skilled Women’s Job Choices.” American Economic Review 107(5):105–9. doi: 10.1257/aer.p20171064. DOI: https://doi.org/10.1257/aer.p20171064
Dallinga, Joan, Mark Janssen, Jet van der Werf, Ruben Walravens, Steven Vos, and Marije Deutekom. 2018. “Analysis of the Features Important for the Effectiveness of Physical Activity–related Apps for Recreational Sports: Expert Panel Approach.” JMIR mHealth and uHealth 6(6):e143. doi: 10.2196/mhealth.9459. DOI: https://doi.org/10.2196/mhealth.9459
ENSANUT. 2018. Encuesta Nacional de Salud Y Nutrición. Vol. 1. DOI: https://doi.org/10.15517/psm.v1i1.30701
Freene, Nicole, Rachel Davey, and Steven M. McPhail. 2019. “Frequency of a Very Brief Intervention by Physiotherapists to Increase Physical Activity Levels in Adults: A Pilot Randomised Controlled Trial.” BMC Sports Science, Medicine and Rehabilitation 11(1):1–9. doi: 10.1186/s13102-019-0118-8. DOI: https://doi.org/10.1186/s13102-019-0118-8
Fukoka, Yoshimi, Carly Gay, Kevin Joiner, and Eric Vittinghoff. 2015. “A Novel Diabetes Prevention Intervention Using a Mobile App: A Randomized Controlled Trial with Overweight Adults at Risk.” American Journal of Preventive Medicine 49(2):223–37. doi: 10.1016/j.amepre.2015.01.003.A. DOI: https://doi.org/10.1016/j.amepre.2015.01.003
Khaghani-Far, Iman, Svetlana Nikitina, Marcos Báez, Ekaterina A. Taran, and Fabio Casati. 2016. “Fitness Applications for Home-Based Training.” IEEE Pervasive Computing 15(4):56–65. doi: 10.1109/MPRV.2016.76. DOI: https://doi.org/10.1109/MPRV.2016.76
Kim, Ki Hun, Kwang Jae Kim, Dae Ho Lee, and Min Geun Kim. 2019. “Identification of Critical Quality Dimensions for Continuance Intention in mHealth Services: Case Study of Onecare Service.” International Journal of Information Management 46(1):187–97. doi: 10.1016/j.ijinfomgt.2018.12.008. DOI: https://doi.org/10.1016/j.ijinfomgt.2018.12.008
Klenk, Saskia, Doreen Reifegerste, and Rebecca Renatus. 2017. “Gender Differences in Gratifications from Fitness App Use and Implications for Health Interventions.” Mobile Media and Communication 5(2):178–93. doi: 10.1177/2050157917691557. DOI: https://doi.org/10.1177/2050157917691557
Krebs, Paul, and Dustin T. Duncan. 2015. “Health App Use Among US Mobile Phone Owners: A National Survey.” JMIR mHealth and uHealth 3(4):e101. doi: 10.2196/mhealth.4924. DOI: https://doi.org/10.2196/mhealth.4924
Lee, Ji Soo, Min Ah Kang, and Soo Kyoung Lee. 2020. “Effects of the E-motivate4change Program on Metabolic Syndrome in Young Adults Using Health Apps and Wearable Devices: Quasi-Experimental Study.” Journal of Medical Internet Research 22(7):e17031. doi: 10.2196/17031. DOI: https://doi.org/10.2196/17031
Macias-Sanchez, Alejandra, and Hector Juan Villareal-Paez. 2018. “Sostenibilidad Del Gasto Público: Cobertura Y Financiamiento De Enfermedades Crónicas En México.” Ensayos Revista de Economía 37(1):99–133. doi: 10.29105/ensayos37.1-4. DOI: https://doi.org/10.29105/ensayos37.1-4
OMS. 2014. Constitución de La Organización Mundial de La Salud.
Pauline, Js. 2013. “Physical Activity Behaviors, Motivation, and Self-Efficacy among College Students.” College Student Journal 47(1):64–74.
Payne, Hannah E., Cameron Lister, Joshua H. West, and Jay M. Bernhardt. 2015. “Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature.” JMIR mHealth and uHealth 3(1):e20. doi: 10.2196/mhealth.3335. DOI: https://doi.org/10.2196/mhealth.3335
Pedersen, Bente Klarlund, and B. Saltin. 2015. “Exercise as Medicine - Evidence for Prescribing Exercise as Therapy in 26 Different Chronic Diseases.” Scandinavian Journal of Medicine and Science in Sports 25(1):1–72. doi: 10.1111/sms.12581. DOI: https://doi.org/10.1111/sms.12581
Romeo, Amelia, Sarah Edney, Ronald Plotnikoff, Rachel Curtis, Jillian Ryan, Ilea Sanders, Alyson Crozier, and Carol Maher. 2019. “Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis.” Journal of Medical Internet Research 21(3):1–14. doi: 10.2196/12053. DOI: https://doi.org/10.2196/12053
Schlomann, Anna, Alexander Seifert, and Christian Rietz. 2019. “Relevance of Activity Tracking with Mobile Devices in the Relationship between Physical Activity Levels and Satisfaction with Physical Fitness in Older Adults: Representative Survey.” Journal of Medical Internet Research 21(3):1–11. doi: 10.2196/12303. DOI: https://doi.org/10.2196/12303
Telfer, Kendra, Nick Wilson, Artur Direito, and Anja Mizdrak. 2020. Technical Report for BODE3 Intervention Parameter Selection: Mobile Health for Physical Activity.
Wahlich, Charlotte, Umar A. R. Chaudhry, Rebecca Fortescue, Derek G. Cook, Shashi Hirani, Rachel Knightly, and Tess Harris. 2019. “Long-Term Follow-up and Objective Physical Activity Measurements of Community-Based Physical Interventions in Adults: A Systematic Review and Meta-Analysis.” The Lancet 394(1):S96. doi: 10.1016/s0140-6736(19)32893-4. DOI: https://doi.org/10.1016/S0140-6736(19)32893-4
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2022 Roberto Andres Gonzalez-Fimbres
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
