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Colegio de Medicina Interna de México.

2020, Number 1

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Med Int Mex 2020; 36 (1)

Dependence for doing advanced and technological activities as a predictor of neurocognitive disorders in older adults

Quispe-Ramírez AR, Quispe-Ramírez MR, Runzer-Colmenares FM, Parodi JF

Language: Spanish
References: 32
Page: 21-32
PDF size: 242.61 Kb.


ABSTRACT

Background: Evidence supports that activities regarding optimization of neuroplasticity, including advanced and technological activities of daily living, are strongly recommended for cognitive impairment prevention.
Objective: To determine the association between technological and advanced activities of daily life and the development of cognitive impairment.
Material and Method: A retrospective cohort study, secondary database analysis from January to December 2018, in which the association between advanced activities of daily life, technological activities in addition to other covariates, and the development of cognitive impairment in patients older than 59 years treated at the Geriatric Service in Centro Medico Naval of Peru was evaluated.
Results: A disability frequency of 35% (131) was found for advanced activities of daily life and 38% (144) for technological activities. In a bivariate analysis, an incidence of cognitive impairment was observed above 90% in the participants with dependence for both activities. In Cox analysis, according to adjusted model, belonging to the lower age group, decreases risk of cognitive impairment, two or more comorbidities increased it by 7%, and the functional dependence variables were significantly associated with the risk of cognitive impairment.
Conclusions: Having both, advanced and activities technological of daily life, dependence increase, in adjusted models, the risk of cognitive impairment.


REFERENCES

  1. Demencia [Internet]. World Health Organization. [citado 15 de octubre de 2018]. Disponible en: http://www.who. int/es/news-room/fact-sheets/detail/dementia

  2. Test de MoCA: Evaluación Cognitiva Montreal [Internet]. Test de MoCA. [citado 15 de octubre de 2018]. Disponible en: https://dstfonoaudiologia.blogspot.com/2016/12/ test-de-moca-evaluacion-cognitiva.html

  3. Skaper SD, Facci L, Zusso M, Giusti P. Synaptic plasticity, dementia and Alzheimer sisease. CNS Neurol Disord Drug Targets. 2017;16(3):220-33. doi: 10.2174/187152731666 6170113120853.

  4. Estimulacion_Cognitiva.pdf [Internet]. [citado 15 de octubre de 2018]. Disponible en: http://adultomayor.uc.cl/ docs/Estimulacion_Cognitiva.pdf

  5. Smith JC, Erickson KI, Rao SM. Introduction to the JINS Special Issue: Physical Activity and Brain Plasticity. J Int Neuropsychol Soc 2015;21(10):743-4. doi:10.1017/ S1355617715001149.

  6. Krell-Roesch J, Vemuri P, Pink A, Roberts RO, Stokin GB, Mielke MM, et al. Association between mentally stimulating activities in late life and the outcome of incident mild cognitive impairment, with an analysis of the apoe ε4 genotype. JAMA Neurol 2017;74(3):332-8. doi: 10.1001/ jamaneurol.2016.3822.

  7. Dias EG, Andrade FB de, Duarte YA de O, Santos JLF, Lebrão ML, Dias EG, et al. Advanced activities of daily living and incidence of cognitive decline in the elderly: the SABE Study. Cad Saúde Publica 2015;31(8):1623-35. doi: 10.1590/0102-311X00125014.

  8. Chagas MHN, Pessoa RMP, Almeida OP. Comparison of DSM-IV and DSM-5 dementia criteria among older people living in a community sample. Int J Geriatr Psychiatry 2018;33(5):801-2. doi: 10.1002/gps.4861.

  9. López-Álvarez J, Agüera-Ortiz LF. Nuevos criterios diagnósticos de la demencia y la enfermedad de Alzheimer: una visión desde la psicogeriatría. Psicogeriatría 2015;5(1):3-14.

  10. Runzer-Colmenares FM, Samper-Ternent R, Al Snih S, Ottenbacher KJ, Parodi JF, Wong R. Prevalence and factors associated with frailty among Peruvian older adults. Arch Gerontol Geriatr 2014;58(1):69-73. doi: 10.1016/j. archger.2013.07.005.

  11. Oliveira EM de, Silva HS da, Lopes A, Cachioni M, Falcão DV da S, Batistoni SST, et al. Atividades Avançadas de Vida Diária (AAVD) e desempenho cognitivo entre idosos. Psico- USF 2015;20(1):109-20. http://dx.doi.org/10.1590/1413- 82712015200110.

  12. Kobayashi M, Hiyama A, Miura T, Asakawa C, Hirose M, Ifukube T. Elderly User Evaluation of Mobile Touchscreen Interactions. En: Campos P, Graham N, Jorge J, Nunes N, Palanque P, Winckler M, editores. Human-Computer Interaction – INTERACT 2011. Springer Berlin Heidelberg; 2011;83-99. (Lecture notes in computer science).

  13. Elliot AJ, Mooney CJ, Douthit KZ, Lynch MF. Predictors of older adults’ technology use and its relationship to depressive symptoms and well-being. J Gerontol B Psychol Sci Soc Sci 2014;69(5):667-77. doi: 10.1093/ geronb/gbt109.

  14. Runzer-Colmenares FM, Castro G, Merino A, Torres-Mallma C, Diaz G, Perez C, et al. Asociación entre depresión y dependencia funcional en pacientes adultos mayores. Horiz Méd 2017;17(3):50-7. http://dx.doi.org/10.24265/ horizmed.2017.v17n3.09

  15. Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 2019 Jan 1;48(1):16- 31. doi: 10.1093/ageing/afy169.

  16. Urrunaga-Pastor D, Moncada-Mapell E, Runzer-Colmenares FM, Bailon-Valdez Z, Samper-Ternent R, Rodriguez-Mañas L, et al. Factors associated with poor balance ability in older adults of nine highaltitude communities. Arch Gerontol Geriatr 2018;77:108-114. doi: 10.1016/j.archger.2018.04.013.

  17. Rothman MD, Leo-Summers L, Gill TM. Prognostic significance of potential frailty criteria. J Am Geriatr Soc. 2008;56(12):2211-6. doi: 10.1111/j.1532- 5415.2008.02008.x.

  18. Hughes T, Chang C-CH, Bilt JV, Ganguli M. Engagement in reading and hobbies and risk of incident dementia: The MoVIES Project. Am J Alzheimers Dis Other Demen 2010;25(5):432-8. doi: 10.1177/1533317510368399.

  19. Rebok GW, Ball K, Guey LT, Jones RN, Kim H-Y, King JW, et al. Ten-year effects of the ACTIVE cognitive training trial on cognition and everyday functioning in older adults. J Am Geriatr Soc 2014;62(1):16-24. doi:10.1111/jgs.12607.

  20. Gondo Y. Technology and old age in Japan. Angewandte GERONTOLOGIE Appliquée 2016;1(1):28-30. https:// www.researchgate.net/deref/http%3A%2F%2Fdx.doi. org%2F10.1024%2F2297-5160%2Fa000017

  21. Niehaves B, Plattfaut R. Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide. Eur J Inf Syst 2014;23(6):708-26.

  22. Roupa Z, Nikas M, Gerasimou E, Zafeiri V, et al. The use of technology by the elderly. Health Science Journal [Internet]. 2010 [citado 13 de diciembre de 2018];4(2). Disponible en: http://www.hsj.gr/abstract/the-use-oftechnology- by-the-elderly-3614.html

  23. Medina FA dos S, Pereira SGM, Gonçalves RF. Los ancianos y la interacción intuitiva en los smartphones: Una revisión sistemática de la literatura. Revista Espacios 2015;36:15. [Internet]. 5 de agosto de 2015 [citado 9 de enero de 2019]; Disponible en: http://www.revistaespacios.com/ a15v36n15/15361501.html

  24. Russell AM, Smith SG, Bailey SC, Belter LT, Pandit AU, Hedlund LA, et al. Older adult preferences of mobile application functionality supporting medication selfmanagement. J Health Commun 2018;23(12):1064-71. doi: 10.1080/10810730.2018.1554728.

  25. Raven MC, Kaplan LM, Rosenberg M, Tieu L, Guzman D, Kushel M. Mobile phone, computer, and internet use among older homeless adults: Results from the HOPE HOME Cohort Study. JMIR Mhealth Uhealth 2018;6(12):e10049. doi: 10.2196/10049.

  26. Flier WM van der, Scheltens P. Epidemiology and risk factors of dementia. J Neurol Neurosurg Psychiatry 2005;76(suppl 5):v2-7. doi: 10.1136/jnnp.2005.082867.

  27. Public-Sector-Times-1st-August-2015-Low-levels-of-education- one-of-key-risk-factors-for-dementia.pdf [Internet]. [citado 27 de diciembre de 2018]. Disponible en: https:// www.alzheimer.ie/Alzheimer/media/SiteMedia/Services/ Public-Sector-Times-1st-August-2015-Low-levels-of-education- one-of-key-risk-factors-for-dementia.pdf

  28. Nuevos criterios diagnósticos de la demencia y la enfermedad de Alzheimer: una visión desde la psicogeriatría - PDF [Internet]. [citado 13 de diciembre de 2018]. Disponible en: https://docplayer.es/7049404-Nuevos-criterios-diagnosticos- de-la-demencia-y-la-enfermedad-de-alzheimeruna- vision-desde-la-psicogeriatria.html

  29. Mourao RJ, Mansur G, Malloy‐Diniz LF, Costa EC, Diniz BS. Depressive symptoms increase the risk of progression to dementia in subjects with mild cognitive impairment: systematic review and meta-analysis. Int J Geriatr Psychiatry 2016;31(8):905-11. doi: 10.1002/gps.4406.

  30. Holtzer R, Friedman R, Lipton RB, Katz M, Xue X, Verghese J. The relationship between specific cognitive functions and falls in aging. Neuropsychology 2007;21(5):540-48. DOI: 10.1037/0894-4105.21.5.540

  31. Bunn F, Burn A-M, Goodman C, Rait G, Norton S, Robinson L, et al. Comorbidity and dementia: a scoping review of the literature. BMC Med [Internet]. 31 de octubre de 2014 [citado 27 de diciembre de 2018];12. Disponible en: https:// www.ncbi.nlm.nih.gov/pmc/articles/PMC4229610/

  32. Rogers NT, Steptoe A, Cadar D. Frailty is an independent predictor of incident dementia: Evidence from the English Longitudinal Study of Ageing. Sci Rep [Internet]. 16 de noviembre de 2017 [citado 13 de diciembre de 2018];7. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/ PMC5691042/




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