Abstract
This research is based on verifying the changes in cognitive function through the use of a mobile application designed to work in the mental flexibility processes of the elderly. It is worth mentioning that the presence of Information and Communication Technologies (ICT) within society is a reality that manifests a special reflection in continuous evolution, and it has been increased in the field of health. Health mobile or M-health is the use of portable devices such as smartphones or tablets exclusively for medical use including diagnosis, support or treatment or even having a report on general health and well-being. All users (doctors/patients) can interact with these devices through a software application (App), which generally gather information interactively. This research aims to identify the support of Apps in the mental flexibility of the elderly. Mental flexibility is part of the executive functions that get deteriorated due to several causes, like the death of neurons. It was verified that there are new ways of learning in the elderly through the use of cognitive stimulation, taking advantage of the technology as a cognitive stimulation resource by using an App in patients of the Vida en los Años Nursing Home. The methodology used for this research is experimental, because the variable cognitive flexibility was manipulated through the use of a mobile application that modified its operation. Also, the changes were verified through a pre and posttest called Stroop Test. The result of Cronbach’s alpha is (0.854) of the questions posed in the structured survey. Using the Wilcoxon statistic, the silver hypothesis in the research was verified by checking the confidence ranges in the Gaussian bell.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Leung, C., Cheng, L., Yu, J., Yiend, J., Lee, T.: Six-month longitudinal associations between cognitive functioning and distress among the community-based elderly in Hong Kong: a cross-lagged panel analysis. Psychiatry Res. 265, 77–81 (2018)
Eze, E., Gleasure, R., Heavin, C.: Planning and positioning mHealth interventions in developing countries. Health Policy Technol. 8(2), 137–142 (2019)
Gu, L., Chen, J., Gao, L., Shu, H., Wang, Z., Liu, D., Yan, Y., Zhang, Z.: Cognitive reserve modulates attention processes in healthy elderly and amnestic mild cognitive impairment: an event-related potential study. Clin. Neurophysiol. 129(1), 198–207 (2018)
Laubach, M., Lammers, F., Zacharias, N., Feinkohl, I., Psichon, T., Borchers, F., Slooter, A., Kuhn, S., Spies, C., Winterer, G., BioCog Consortium: Size matters: grey matter brain reserve predicts executive functioning in the elderly. Neuropsychologia 119, 172–181 (2018)
Berrocal, J., Garcia-Alonso, J., Murillo, J., Canal, C.: Rich contextual information for monitoring the elderly in an early stage of cognitive impairment. Pervasive Mob. Comput. 34, 106–125 (2017)
Lemercier, C., Simoes-Perlant, A., Schmidt, J., Boujon, C.: Stroop interference and development: Influence of expectation on color-naming response times Interférence et développement: influence du processus d’expectation sur les temps de dénomination de la couleur. Revue Européenne de Psychologie Appliquée 67(1), 43–50 (2017)
Witterkind, C., Muhtz, C., Moritz, S., Jelinek, L.: Performance in a blocked versus randomized emotional Stroop task in an aged, early traumatized group with and without posttraumatic stress symptoms. J. Behav. Ther. Exp. Psychiatry 54, 35–43 (2017)
Greene, E., Proctor, P., Kotz, D.: Secure sharing of mHealth data streams through cryptographically-enforced access control. Smart Health 12, 49–65 (2019)
Ki-Hun, K., Kwang-Jae, K., Dae-Ho, L., Min-Geun, K.: Identification of critical quality dimensions for continuance intention in mHealth services: case study of onecare service. Int. J. Inf. Manage. 46, 187–197 (2019)
Kosse, R., Murray, E., Bouvy, M., de Vries, T.W., Stevenson, F.: Potential normalization of an asthma mHealth intervention in community pharmacies: applying a theory-based framework. Res. Soc. Adm. Pharm. 16, 195–201 (2020)
Zhang, X., Lai, K., Guo, X.: Promoting China’s mHealth market: a policy perspective. Health Policy Technol. 6(4), 383–388 (2017)
Bakirci-Taylor, A., Reed, D., McCool, B., Dawson, J.: mHealth improved fruit and vegetable accessibility and intake in young children. J. Nutr. Educ. Behav. 51(5), 556–566 (2019)
Wang, L., Wu, T., Guo, X., Zhang, X., Wang, W.: Exploring mHealth monitoring service acceptance from a service characteristics perspective. Electron. Commer. Res. Appl. 30, 159–168 (2018)
Onodera, R., Sengoku, S.: Innovation process of mHealth: an overview of FDA-approved mobile medical applications. Int. J. Med. Inform. 118, 65–71 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Páez-Quinde, C., Armas-Arias, S., Cumbe-Coraizaca, D., Velastegui-Hernández, S. (2021). M-Health as a Tool in the Cognitive Flexibility of the Elderly. In: Auer, M.E., Tsiatsos, T. (eds) Internet of Things, Infrastructures and Mobile Applications. IMCL 2019. Advances in Intelligent Systems and Computing, vol 1192. Springer, Cham. https://doi.org/10.1007/978-3-030-49932-7_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-49932-7_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-49931-0
Online ISBN: 978-3-030-49932-7
eBook Packages: EngineeringEngineering (R0)