Efecto de un programa de actividad física basado en el uso de aplicaciones móviles sobre la composición corporal de jóvenes universitarios durante el confinamiento por COVID-19 (Effect of a mobile application based physical activity program on body composition of college students during COVID-19 confinement)

Autores/as

DOI:

https://doi.org/10.47197/retos.v50.98385

Palabras clave:

Salud, Teléfono inteligente, Ejercicio, masa grasa, pandemia

Resumen

Objetivo. Determinar el efecto de una intervención de promoción de actividad física (AF) basada en aplicaciones móviles sobre la composición corporal de estudiantes universitarios durante el confinamiento por pandemia de COVID 19. Métodos. Participaron 21 estudiantes universitarios (10 hombres, 11 mujeres, edad 22.81 ± 4.88 años), se evaluó composición corporal, frecuencia de alimentos y niveles de AF antes (Pre) y después (Post) de la implementación de un programa de ocho semanas de AF utilizando aplicaciones móviles. Resultados. Los cambios observados en composición corporal fueron en índice de masa grasa (IMG) y masa grasa (p < .05); sin embargo, los tamaños de efecto fueron triviales. El gasto energético fue mayor a la ingesta energética en Pre (p < .05) y Post (p < .01); también, el gasto energético fue mayor en Post comparado con Pre (p < .01). En Post se observó relación entre AF total y reducciones de masa grasa, porcentaje de masa grasa e IMG (p < .05). Conclusiones. Las intervenciones de AF utilizando aplicaciones móviles provocan un aumento en el gasto energético; sin embargo, los cambios en composición corporal fueron triviales. Por lo tanto, se sugiere que las intervenciones de AF usando aplicaciones móviles sean de mayor duración, además de que se complementen con control dietario.

Palabras clave: Teléfono inteligente, salud, ejercicio, masa grasa, pandemia.

Abstract. Objective: To determine the effect of a mobile application-based physical activity (PA) promotion intervention on the body composition of university students during the COVID-19 pandemic lockdown. Methods: 21 university students participated (10 men, 11 women, aged 22.81 ± 4.88 years), their body composition, food frequency, and PA levels were evaluated before (Pre) and after (Post) the implementation of an eight-week PA program using mobile applications. Results: The observed changes in body composition were in fat mass index (FMI) and fat mass (p < .05); however, the effect sizes were trivial. Energy expenditure was greater than energy intake in Pre (p < .05) and Post (p < .01); also, energy expenditure was higher in Post compared with Pre (p < .01). In Post, a relationship between total PA and reductions in fat mass, percentage of fat mass, and FMI was observed (p < .05). Conclusions: PA interventions using mobile applications result in increased energy expenditure; however, changes in body composition were trivial. Therefore, it is suggested that PA interventions using mobile applications should be of longer duration and be complemented with dietary control.

Keywords: smartphone, health, exercise, pandemic.

Citas

Al-Azzam, N., Elsalem, L., & Gombedza, F. (2020). A cross-sectional study to determine factors affecting dental and medi-cal students’ preference for virtual learning during the COVID-19 outbreak. Heliyon, 6(12), e05704. https://doi.org/10.1016/j.heliyon.2020.e05704

Almutari, N., & Orji, R. (2019). How effective are social influence strategies in persuasive apps for promoting physical activity? A systematic review. Adaptation and Personalization, 167–172. https://doi.org/10.1145/3314183.3323855

Aznar, I., Cáceres, M., Trujillo, J., & Romero, J. (2019). Impacto de las apps móviles en la actividad física: un meta-análisis. Retos, 36(1), 52–57. https://dialnet.unirioja.es/descarga/articulo/6770637.pdf

Basterra-Arroyo, J., & Menescardi-Royuela, C. (2020). Propuesta de innovación interdisciplinar de contenidos de física en las clases de educación física mediante aplicaciones móviles. Retos, 2041(38), 255–261. https://doi.org/10.47197/retos.v38i38.73794

Bazzocchi, A., Diano, D., Ponti, F., Andreone, A., Sassi, C., Albisinni, U., Marchesini, G., & Battista, G. (2013). Health and ageing: A cross-sectional study of body composition. Clinical Nutrition, 32(4), 569–578. https://doi.org/10.1016/j.clnu.2012.10.004

Bherer, L. (2015). Cognitive plasticity in older adults: Effects of cognitive training and physical exercise. Annals of the New York Academy of Sciences, 1337(1), 1–6. https://doi.org/10.1111/nyas.12682

Brickwood, K. J., Watson, G., O’Brien, J., & Williams, A. D. (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. https://doi.org/10.2196/11819

Chacón-Cuberos, R., Zurita-Ortega, F., Olmedo-Moreno, E. M., & Castro-Sánchez, M. (2019). Relationship between Academic Stress, Physical Activity and Diet in University Students of Education. Behavioral Sciences, 9(59), 1–12. https://doi.org/10.3390/bs9060059

Chaput, J. P., Tremblay, A., Pereira, B., Boirie, Y., Duclos, M., & Thivel, D. (2016). Food intake response to exercise and active video gaming in adolescents effect of weight status. British Journal of Nutrition, 115(3), 547–553. https://doi.org/10.1017/S0007114515004602

Cho, S. M. J., Lee, J. H., Shim, J. S., Yeom, H., Lee, S. J., Jeon, Y. W., & Kim, H. C. (2020). Effect of smartphone-based lifestyle coaching app on community-dwelling population with moderate metabolic abnormalities: Randomized contro-lled trial. Journal of Medical Internet Research, 22(10), e17435. https://doi.org/10.2196/17435

Cleghorn, C., Wilson, N., Nair, N., Kvizhinadze, G., Nghiem, N., McLeod, M., & Blakely, T. (2019). Health benefits and cost-effectiveness from promoting smartphone apps for weight loss: Multistate life table modeling. JMIR MHealth and UHealth, 7(1), e11118. https://doi.org/10.2196/11118

Clemente-Suárez, V. J., Beltrán-Velasco, A. I., Ramos-Campos, D. J., Mielgo-Ayuso, J., Nikolaidis, P. A., Belando, N., & Tornero-Aguilera, J. F. (2022). Physical activity and COVID-19. The basis for an efficient intervention in times of CO-VID-19 pandemic. Physiology & Behavior, 244(1), 1–12.

de Oliveira, M., de Oliveira, R., & Correia, A. (2020). Will Virtual Replace Classroom Teaching? Lessons from Virtual Classes via Zoom in the Times of COVID-19. Journal of Advances in Education and Philosophy, 04(05), 208–213. https://doi.org/10.36348/jaep.2020.v04i05.004

Díaz-Barahona, J. (2019). Retos y oportunidades de la tecnología móvil en la educación física. Retos, 2041(37), 763–773. https://doi.org/10.47197/retos.v37i37.68851

Galmés-Panadés, A. M., & Vidal Conti, J. (2019). Cómo fomentar la práctica de ejercicio físico a través de los deberes activos en estudiantes universitarios. Retos, 2041(37), 518–526. https://doi.org/10.47197/retos.v37i37.72110

Galván-Portillo, M., Torres-Sánchez, L., Hernández-Ramírez, R. U., & Anaya-Loyola, M. A. (2011). Cuestionario de frecuencia de consumo de alimentos para estimación de ingestión de folato en México. Salud Publica de Mexico, 53(3), 237–246. http://www.ncbi.nlm.nih.gov/pubmed/21829889

García, L. (2021). COVID-19 y educación a distancia digital: preconfinamiento, confinamiento y posconfinamiento. Revista Iberoamericana de Educación a Distancia, 24(1), 9–25.

Herhaus, B., Ullmann, E., Chrousos, G., & Petrowski, K. (2020). High/low cortisol reactivity and food intake in people with obesity and healthy weight. Translational Psychiatry, 10(40), 1–8. https://doi.org/10.1038/s41398-020-0729-6

Hernández-Reyes, A., Cámara-Martos, F., Molina-Luque, R., Romero-Saldanã, M., Molina-Recio, G., & Moreno-Rojas, R. (2019). Changes in body composition with a hypocaloric diet combined with sedentary, moderate and high-intense physical activity: A randomized controlled trial. BMC Women’s Health, 19(1), 1–12. https://doi.org/10.1186/s12905-019-0864-5

Höchsmann, C., Infanger, D., Klenk, C., Königstein, K., Walz, S. P., & Schmidt-Trucksäss, A. (2019). Effectiveness of a Behavior Change Technique–Based Smartphone Game to Improve Intrinsic Motivation and Physical Activity Adherence in Patients With Type 2 Diabetes: Randomized Controlled Trial. JMIR Serious Games, 7(1), e11444. https://doi.org/10.2196/11444

Kelly, T. L., Wilson, K. E., & Heymsfield, S. B. (2009). Dual energy X-ray absorptiometry body composition reference values from NHANES. PLoS ONE, 4(9), 2–9. https://doi.org/10.1371/journal.pone.0007038

King, A. C., Hekler, E. B., Grieco, L. A., Winter, S. J., Sheats, J. L., Buman, M. P., Banerjee, B., Robinson, T. N., & Cirimele, J. (2016). Effects of three motivationally targeted mobile device applications on initial physical activity and se-dentary behavior change in midlife and older adults: A randomized trial. PLoS ONE, 11(6), 1–17. https://doi.org/10.1371/journal.pone.0156370

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

Kuri-García, A., García-Solís, P., Anaya-Loyola, M. A., Solís-S, J. C., Méndez-Villa, L., & Camacho-Calderón, N. (2020). Original decrease in free fat mass in swimmers after a training period. Revista Internacional de Medicina, y Ciencias de La Actividad Física y El Deporte, 20(78), 275–288.

Lee, J. S., Kang, M. A., & Lee, S. K. (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. https://doi.org/10.2196/17031

López-Valenciano, A., Suárez-Iglesias, D., Sanchez-Lastra, M. A., & Ayán, C. (2021). Impact of COVID-19 Pandemic on University Students’ Physical Activity Levels: An Early Systematic Review. Frontiers in Psychology, 11(1), 1–10. https://doi.org/10.3389/fpsyg.2020.624567

Lugones-Sanchez, C., Sanchez-Calavera, M. A., Repiso-Gento, I., Adalia, E. G., Ignacio Ramirez-Manent, J., Agudo-Conde, C., Rodriguez-Sanchez, E., Gomez-Marcos, M. A., Recio-Rodriguez, J. I., Garcia-Ortiz, L., Ortiz, L. G., Re-cio Rodriguez, J. I., Lugones-Sanchez, C., Gomez-Marcos, M. A., Agudo-Conde, C., Alonso-Dominguez, R., San-chez-Aguadero, N., de Cabo-Laso, A., Rodriguez-Martin, C., … Junquera-Del Pozo, M. E. (2020). Effectiveness of an mHealth intervention combining a smartphone app and smart band on body composition in an overweight and obese po-pulation: Randomized controlled trial (EVIDENT 3 study). JMIR MHealth and UHealth, 8(11), 1–21. https://doi.org/10.2196/21771

Memari, A. H., Selk-Ghaffari, M., Khosravi, A., & Kordi, R. (2021). Action plan to increase physical activity during the COVID-19 pandemic. Sultan Qaboos University Medical Journal, 21(4), 514–516. https://doi.org/10.18295/squmj.4.2021.053

Merino-Marban, R., Mayorga-Vega, D., Fernandez-Rodriguez, E., Estrada, F. V., & Viciana, J. (2015). Effect of a physical education-based stretching programme on sit-and-reach score and its posterior reduction in elementary schoolchildren. European Physical Education Review, 21(1), 83–92. https://doi.org/10.1177/1356336X14550942

Middelweerd, A., Mollee, J. S., van der Wal, C. N., Brug, J., & Te Velde, S. (2014). Apps to promote physical activity among adults: A review and content analysis. International Journal of Behavioral Nutrition and Physical Activity, 11(1), 97–106.

OMS. (1995). Physical status: The use and interpretation of anthropometry. In Journal of Geriatric Oncology (Vol. 1, Issue 1, pp. 40–44). https://apps.who.int/iris/handle/10665/37003

OMS. (2019). Plan de acción mundial sobre actividad física 2018- 2030: personas más activas para un mundo más sano. Organiza-ción Mundial de La Salud. https://apps.who.int/iris/handle/10665/327897

Peçanha, T., Goessler, K. F., Roschel, H., & Gualano, B. (2020). Social isolation during the COVID-19 pandemic can in-crease physical inactivity and the global burden of cardiovascular disease. American Journal of Physiology - Heart and Circu-latory Physiology, 318(6), H1441–H1446. https://doi.org/10.1152/ajpheart.00268.2020

Ramírez-Vélez, R., Correa-Bautista, J. E., Sanders-Tordecilla, A., Ojeda-Pardo, M. L., Cobo-Mejía, E. A., Castellanos-Vega, R. del P., García-Hermoso, A., González-Jiménez, E., Schmidt-Riovalle, J., & González-Ruíz, K. (2017). Per-centage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students. Nutrients, 9(9), 1–13. https://doi.org/10.3390/nu9091009

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. International Journal of Behavioral Nutrition and Physical Activity, 13(1). https://doi.org/10.1186/s12966-016-0454-y

Stockwell, S., Trott, M., Tully, M., Shin, J., Barnett, Y., Butler, L., McDermott, D., Schuch, F., & Smith, L. (2021). Changes in physical activity and sedentary behaviours from before to during the COVID-19 pandemic lockdown: A sys-tematic review. BMJ Open Sport and Exercise Medicine, 7(1), 1–8. https://doi.org/10.1136/bmjsem-2020-000960

Toomey, C. M., Cremona, A., Hughes, K., Norton, C., & Jakeman, P. (2015). A review of body composition measure-ment in the assessment of health. Topics in Clinical Nutrition, 30(1), 16–32. https://doi.org/10.1097/TIN.0000000000000017

VanItallie, T., Yang, M.-Y., Heymsfield, S., Funk, R., & Boileau, R. (1990). Height-normalized indices of the body’s fat-free mass and fat mass: potentially useful indicators of nutritional status. American Journal of Clinical Nutrition, 52(6), 953–959.

Wahlich, C., Chaudhry, U. A. R., Fortescue, R., Cook, D. G., Hirani, S., Knightly, R., & Harris, T. (2019). Long-term follow-up and objective physical activity measurements of community-based physical interventions in adults: a systema-tic review and meta-analysis. The Lancet, 394(1), S96. https://doi.org/10.1016/s0140-6736(19)32893-4

Yu, J., & Jee, Y. (2021). Analysis of online classes in physical education during the covid-19 pandemic. Education Sciences, 11(1), 1–14. https://doi.org/10.3390/EDUCSCI11010003

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Publicado

2023-09-15

Cómo citar

Rangel Colmenero, B. R. (2023). Efecto de un programa de actividad física basado en el uso de aplicaciones móviles sobre la composición corporal de jóvenes universitarios durante el confinamiento por COVID-19 (Effect of a mobile application based physical activity program on body composition of college students during COVID-19 confinement). Retos, 50, 717–723. https://doi.org/10.47197/retos.v50.98385

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Artículos de carácter científico: trabajos de investigaciones básicas y/o aplicadas

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