Daily physical activity changes the brain activity, functional autonomy and frailty of elderly

Authors

DOI:

https://doi.org/10.33448/rsd-v9i9.7779

Keywords:

Aging; Frailty; Motor Activity; Electroencephalography.

Abstract

Introduction: In Brazil, 13% of the population is composed of people with upper than 60 years, and is estimated that this number will be 29,3% in 2050. Objective: The goal of the study was to determine the profile and correlation between the variables: brain activity, functional autonomy, and frailty of the elderly with different daily physical activity. Methodology: Were selected 60 elderly inserted on an active and healthy aging program, with different levels of daily physical activity, of both sex, age upper than 60 years, and physical and cognitive functions preserved. Were evaluated frailty, functional autonomy, and daily physical activities, besides brain activity through an electroencephalogram, using as reference the international system 10/20. Results: The results showed that the more active participants got better results in functional autonomy and frailty tests, and also had recorded more brain activity in areas related to executive functions. Conclusion: The more active participants got better punctuations in functional autonomy and frailty tests, besides also got a higher brain activity. However, although the relationship found to have a background in the scientific literature, only the correlation between the frailty and functional autonomy scores was statistically significant.

References

Baptista, A. M. G. S. (2018). Associação entre nível de atividade física, indicadores de saúde e qualidade de vida de idosos da Universidade da Maturidade (Universidade Federal do Tocantins). Retrieved from http://hdl.handle.net/11612/969

Braboszcz, C., & Delorme, A. (2011). Lost in thoughts: Neural markers of low alertness during mind wandering. NeuroImage. https://doi.org/10.1016/j.neuroimage.2010.10.008

Branco, L. P. A., Guilherme, G. dos S., Abrantes Junior, R. C., Silva, V. F. da, & Calomeni, M. R. (2020). Desempenho no futebol: estimulação cerebral e neurônios espelho. Biológicas & Saúde, 10(34), 16–32. https://doi.org/10.25242/8868103420202025

Carvalho, S. S. (2014). Protocolos e indicadores de eficácia das técnicas de biofeedback e neurofeedback no treinamento psiconeurofisiológico de atletas de alto rendimento. Universidade Federal do Rio de Janeiro.

Costa, F. R. da, Rodrigues, F. M., Prudente, C. O. M., & Souza, I. F. de. (2018). Quality of life of participants and non-participants of public physical exercise programs. Revista Brasileira de Geriatria e Gerontologia, 21(1), 24–34. https://doi.org/10.1590/1981-22562018021.170136

Cruceanu, V. D., & Rotarescu, V. S. (2013). Alpha brainwave entrainment as a cognitive performance activator. Cognition, Brain, Behavior.

Felippe, L. A., & Campos, D. M. (2017). Perfil da Fragilidade em Idosos Participantes de um Centro de Convivência em Campo Grande- MS. Journal of Health Sciences, 18(4), 224–228. https://doi.org/http://dx.doi.org/10.17921/2447-8938.2016v18n4p224-8

Ferreira, O. G. L., Maciel, S. C., Costa, S. M. G., Silva, A. O., & Moreira, M. A. S. P. (2012). Envelhecimento Ativo e Sua Relação Com a Independência Funcional. Texto e Contexto Enfermagem. https://doi.org/10.1590/S0104-07072012000300004

Guedes, P. D.; Guedes, C. L. C.; Pinto, R. E. J. (2009). Reprodutibilidade e Validade do Questionário de Atividade Física Habitual de Baecke Modificado em Idosos Saudáveis. Uninove.Br. https://doi.org/10.1590/S1517-86922005000200011

Guggisberg, A. G., Rizk, S., Ptak, R., Di Pietro, M., Saj, A., Lazeyras, F., … Pignat, J. M. (2014). Two Intrinsic Coupling Types for Resting-State Integration in the Human Brain. Brain Topography. https://doi.org/10.1007/s10548-014-0394-2

Dantas, E. H. M., & Vale, R. G. S. (2004). Protocolo GDLAM de avaliação da autonomia funcional. Fitness & Performance Journal. https://doi.org/10.3900/fpj.3.3.175.p

Pereira de Llano, P. M., Lange, C., Pires Nunes, D., Pastore, C. A., Pinto, A. H., & Casagr, P., L. (2017). Frailty in rural older adults: development of a care algorithm. Acta Paulista de Enfermagem.

Rios, L. M., & Glanzmann, J. H. (2016). Aplicativo que manipula ondas cerebrais por meio de frequências binaurais. Seminários de Trabalho de Conclusão de Curso Do Bacharelado Em Sistemas de Informação.

Solcà, M., Mottaz, A., & Guggisberg, A. G. (2016). Binaural beats increase interhemispheric alpha-band coherence between auditory cortices. Hearing Research. https://doi.org/10.1016/j.heares.2015.09.011

Soutar, R. G., & Longo, R. E. (2011). Doing neurofeedback: An introduction. ISNR Research Foundation.

United Nations. (2017). World Population Prospects The 2017 Revision Key Findings and Advance Tables ESA/P/WP/248. World Population Prospects The 2017 Revision. https://doi.org/10.1017/CBO9781107415324.004

Varela, F., Lachaux, J. P., Rodriguez, E., & Martinerie, J. (2001). The brainweb: Phase synchronization and large-scale integration. Nature Reviews Neuroscience. https://doi.org/10.1038/35067550

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Published

06/09/2020

How to Cite

CALOMENI, M. R.; SILVA, V. F. da; PERNAMBUCO, C. S.; GUIMARÃES, A. C.; GOMES, H. L. .; DANTAS, E. H. M. Daily physical activity changes the brain activity, functional autonomy and frailty of elderly. Research, Society and Development, [S. l.], v. 9, n. 9, p. e777997779, 2020. DOI: 10.33448/rsd-v9i9.7779. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/7779. Acesso em: 4 nov. 2024.

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Section

Health Sciences