Use of wearable technologies in health promotion in Human Medicine students

Authors

DOI:

https://doi.org/10.4108/eetpht.10.5701

Keywords:

Wearable technologies, wearables, Health promotion, Physical activity, Healthy habits

Abstract

INTRODUCTION: In the current era marked by rapid technological advances, the integration of wearable devices into everyday life has been a remarkable phenomenon. These devices, ranging from smart watches to physical activity monitors, have gained popularity and have become ubiquitous tools that track various aspects of health and wellness.

OBJECTIVE: To characterize the use of wearable technologies in health promotion in Human Medicine students.

METHODS: The research is characterized by its cross-sectional and quantitative nature, with a basic and descriptive non-experimental design. The study population consisted of 128 students of Human Medicine at a private university located in Arequipa, Peru. Data collection was carried out through the use of surveys and questionnaires.

RESULTS: Regarding the adoption and use of wearable technologies, 35.94% (46) reported a moderate level, 32.81% (42) indicated a high level, while 31.25% (40) indicated a low level. This finding suggests a balanced and non-extreme adoption of wearable technologies among the students examined in the context of health promotion.

CONCLUSIONS: We were able to determine a moderate level of adoption and use of wearable technologies among Human Medicine students to promote health and wellness. This result points to the relevance of these technologies in health-related activities, highlighting a particular emphasis on a moderate level of use.

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References

Virginia Anikwe C, Friday Nweke H, Chukwu Ikegwu A, Adolphus Egwuonwu C, Uchenna Onu F, Rita Alo U, et al. Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect. Expert Systems with Applications. 2022;202:117362. https://doi.org/10.1016/j.eswa.2022.117362

Strain T, Wijndaele K, Dempsey PC, Sharp SJ, Pearce M, Jeon J, et al. Wearable-device-measured physical activity and future health risk. Nature medicine. 2020;26(9):1385–91. https://doi.org/10.1038/s41591-020-1012-3

Lu Y, Zhang S, Zhang Z, Xiao W, Yu S. A Framework for Learning Analytics Using Commodity Wearable Devices. Sensors. 2017;17(6):1382. https://doi.org/10.3390/s17061382

González J, Morón J, González V, Abundis A, Macías F. Autoeficacia académica, apoyo social académico, bienestar escolar y su relación con el rendimiento académico en estudiantes universitarios. Psicumex. 2020;10(2):95–113. https://doi.org/10.36793/psicumex.v10i2.353

Khosravi S, Bailey S, Parvizi H, Ghannam R. Wearable Sensors for Learning Enhancement in Higher Education. Sensors. 2022;22(19):7633. https://doi.org/10.3390/s22197633

Gurova O, Merritt T, Papachristos E, Vaajakari J. Sustainable Solutions for Wearable Technologies: Mapping the Product Development Life Cycle. Sustainability. 2020;12(20):8444. https://doi.org/10.3390/su12208444

Lee J, Kim D, Ryoo H, Shin B. Sustainable Wearables: Wearable Technology for Enhancing the Quality of Human Life. Sustainability. 2016;8(5):466. https://doi.org/10.3390/su8050466

De-la-Fuente YM, Ricoy A, Albín A, López J, Espinilla M. Past, Present and Future of Research on Wearable Technologies for Healthcare: A Bibliometric Analysis Using Scopus. Sensors. 2022;22(22):8599. https://doi.org/10.3390/s22228599

Seçkin A, Ateş B, Seçkin M. Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities. Applied Sciences. 2023;13(18):10399. https://doi.org/10.3390/app131810399

Martínez L, Hernández J, Jaramillo L, Villegas J, Álvarez L, Roldan M, et al. La educación en salud como una importante estrategia de promoción y prevención: Health education as an important promotion and prevention strategy. archmed. 2020;20(2):490–504. https://www.redalyc.org/journal/2738/273863770021/273863770021.pdf

Pérez J, Yáñez S, Ortega C, Piqueras J. Educación Emocional en la Educación para la Salud: Cuestión de Salud Pública. Clínica y Salud. 2020;31(3):127–36. https://dx.doi.org/10.5093/clysa2020a7

Morales-García WC, Huancahuire-Vega S, Saintila J, Morales-García M, Fernández-Molocho L, Ruiz Mamani PG. Predictors of Intention to Vaccinate Against COVID-19 in a Peruvian Sample. Journal of primary care & community health. 2022;13:215013192210922. https://doi.org/10.1177/21501319221092254

Guevara M, Marruffo M. La Promoción de la Salud en el contexto de la Pandemia de COVID 19. Espacio Abierto. 2021;30(2):66–86. https://www.redalyc.org/journal/122/12267447004/12267447004.pdf

Huaman N, Morales-García WC, Castillo-Blanco R, Saintila J, Huancahuire-Vega S, Morales-García SB, et al. An Explanatory Model of Work-family Conflict and Resilience as Predictors of Job Satisfaction in Nurses: The Mediating Role of Work Engagement and Communication Skills. Journal of Primary Care & Community Health. 2023;14:215013192311513. ttps://doi.org/10.1177/21501319231151380

Ferrier B, Lee J, Mbuli A, James D. Translational Applications of Wearable Sensors in Education: Implementation and Efficacy. Sensors. 2022;22(4):1675. https://doi.org/10.3390/s22041675

Bustos M, Cruz N, Guerra A, Sánchez L, Cruz N, Alor G. Wearables for Engagement Detection in Learning Environments: A Review. Biosensors. 2022;12(7):509. https://doi.org/10.3390/bios12070509

Díaz G, Bahamonde C, Giménez J, Torres G. Use of Wearable Devices to Study Physical Activity in Early Childhood Education. Sustainability. 2021;13(24):13998. https://doi.org/10.3390/su132413998

Patil V, Singhal D, Naik N, Hameed B, Shah M, Ibrahim S, et al. Factors Affecting the Usage of Wearable Device Technology for Healthcare among Indian Adults: A Cross-Sectional Study. JCM. 2022;11(23):7019. https://doi.org/10.3390/jcm11237019

Hernández R, Mendoza C. Metodología de investigación. Las rutas cuantitativa, cualitativa y mixta. McGRAW-HILL; 2018.

Ñaupas H, Mejía E, Novoa E, Villagómez A. Metodología de la investigación Cuantitativa-Cualitativa y redacción de la tesis. Ediciones de la U; 2014.

Palella S, Martins F. Metodología de la investigación cuantitativa. FEDEUPEL; 2012.

Cayupe JC, Bernedo-Moreira DH, Morales-García WC, Alcaraz FL, Peña KBC, Saintila J, et al. Self-efficacy, organizational commitment, workload as predictors of life satisfaction in elementary school teachers: the mediating role of job satisfaction. Frontiers in Psychology. 2023;14:1066321. https://doi.org/10.3389/fpsyg.2023.1066321

Cabrera-Aguilar E, Zevallos-Francia M, Morales-García M, Ramírez-Coronel AA, Morales-García SB, Sairitupa-Sanchez LZ, et al. Resilience and stress as predictors of work engagement: the mediating role of self-efficacy in nurses. Frontiers in Psychiatry. 2023;14:1202048. https://doi.org/10.3389/fpsyt.2023.1202048

Plaza-Ccuno JNR, Vasquez Puri C, Calizaya-Milla YE, Morales-García WC, Huancahuire-Vega S, Soriano-Moreno AN, et al. Physical Inactivity is Associated with Job Burnout in Health Professionals During the COVID-19 Pandemic. Risk Management and Healthcare Policy. 2023;Volume 16:725–33. https://doi.org/10.2147/RMHP.S393311

Dilas D, Flores R, Morales-García WC, Calizaya-Milla YE, Morales-García M, Sairitupa-Sanchez L, et al. Social Support, Quality of Care, and Patient Adherence to Tuberculosis Treatment in Peru: The Mediating Role of Nurse Health Education. Patient Preference and Adherence. 2023;Volume 17:175–86. https://doi.org/10.2147/PPA.S391930

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Published

23-04-2024

How to Cite

1.
Curo Yllaconza JE, Valle Elescano RA, Vilchez Cuevas TL, Velásquez Orellana M, Tezén Campos JH, Salazar Montenegro J, Riquez Livia DP, Peralta Loayza EF. Use of wearable technologies in health promotion in Human Medicine students. EAI Endorsed Trans Perv Health Tech [Internet]. 2024 Apr. 23 [cited 2024 May 20];10. Available from: https://publications.eai.eu/index.php/phat/article/view/5701