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SuperAgers in low-education setting: how to assess cognition

Published online by Cambridge University Press:  02 March 2020

Juliana Emy Yokomizo*
Affiliation:
PROTER - Old Age Program, Department of Psychiatry, Faculty of Medicine, University of Sao Paulo, São Paulo, SP, Brazil

Abstract

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Type
Commentary
Copyright
© International Psychogeriatric Association 2020 

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References

Ardila, A. et al. (2010). Illiteracy: the neuropsychology of cognition without reading, Archives of Clinical Neuropsychology, 25, 8, 689712.CrossRefGoogle ScholarPubMed
Balduino, E., Melo, B., de Sousa Mota da Silva, L., Martinelli, J. and Cecato, J. (2019). The “SuperAgers” construct in clinical practice: neuropsychological assessment of illiterate and educated elderly. International Psychogeriatrics, 32, 191198. doi:10.1017/S1041610219001364 Google Scholar
Bottino, C. M. et al. (2008). Estimate of dementia prevalence in a community sample from São Paulo, Brazil. Dementia and Geriatric Cognitive Disorders, 26, 291299. doi:10.1159/00016105 CrossRefGoogle Scholar
Craik, F. I. and Bialystok, E. (2006). Cognition through the lifespan: mechanisms of change. Trends in Cognitive Sciences, 10, 131138. doi:10.1016/j.tics.2006.01.007 CrossRefGoogle ScholarPubMed
Farfel, J. M. et al. (2013). On behalf of the Brazilian Aging Brain Study Group. Neurology, 81, 650657. doi:10.1212/WNL.0b013e3182a08f1b CrossRefGoogle Scholar
Harrison, T. M., Weintraub, S., Mesulam, M. M. and Rogalski, E. (2012). Superior memory and higher cortical volumes in unusually successful cognitive aging. Journal of the International Neuropsychological Society: JINS, 18, 10811085. doi:10.1017/S1355617712000847 CrossRefGoogle ScholarPubMed
Instituto Brasileiro de Geografia e Estatística [IBGE] (2013). Projeção da população do Brasil por sexo e idade: 2000–2060. Retrieved Oct 23, 2019 from Instituto Brasileiro de Geografia e Estatística [IBGE], https://ww2.ibge.gov.br/home/estatistica/populacao/projecao_da_populacao/2013/default_tab.shtm.Google Scholar
Instituto Brasileiro de Geografia e Estatística [IBGE] (2018). Estatísticas sociais. Expectativa de vida do brasileiro sobe para 76 anos; mortalidade infantil cai. Retrieved Nov 20, 2019 from Instituto Brasileiro de Geografia e Estatística [IBGE].Google Scholar
Lezak, M. D., Howieson, D. B., Bigler, E. D., and Tranel, D. (2012). Neuropsychological Assessment, 5th edn. New York: Oxford.Google Scholar
Nitrini, R. et al. (2006). Uma bateria cognitiva breve com alta acurácia no diagnóstico de doença de Alzheimer em população com grande heterogeneidade educacional. São Paulo: Arquivos de Neuro-Psiquiatria.Google Scholar
Raina, S. K.Raina, S., Chander, V., Grover, A., Singh, S., & Bhardwaj, A. (2013). Development of a cognitive screening instrument for tribal elderly population of Himalayan region in northern India. Journal of Neurosciences in Rural Practice, 4, 147153.Google ScholarPubMed
Scazufca, M. et al. (2008). High prevalence of dementia among older adults from poor socioeconomic backgrounds in Sao Paulo, Brazil. International Psychogeriatrics, 20, 394405. doi:10.1017/S1041610207005625 CrossRefGoogle ScholarPubMed
Scazufca, M., Almeida, O. P., Vallada, H. P., Tasse, W. A. and Menezes, P. R. (2009). Limitations of the Mini-Mental State Examination for screening dementia in a community with low socioeconomic status: results from the Sao Paulo Ageing & Health Study. European Archives of Psychiatry and Clinical Neuroscience, 259, 815. doi:10.1007/s00406-008-0827-6 CrossRefGoogle Scholar
Sosa, A. L. et al. (2009). Population normative data for the 10/66 Dementia Research Group cognitive test battery from Latin America, India and China: a cross-sectional survey. BMC Neurology, 9, 48. doi:10.1186/1471-2377-9-48 CrossRefGoogle Scholar
Storsve, A. B. et al. (2014). Differential longitudinal changes in cortical thickness, surface area and volume across the adult life span: regions of accelerating and decelerating change. Journal of Neuroscience, 34, 84888498. doi:10.1523/JNEUROSCI.0391-14.2014 CrossRefGoogle ScholarPubMed
Sun, F. W., Stepanovic, M. R., Andreano, J., Barrett, L. F., Touroutoglou, A. and Dickerson, B. C. (2016). Youthful brains in older adults: preserved neuroanatomy in the default mode and salience networks contributes to youthful memory in superaging. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 36, 96599668. doi:10.1523/JNEUROSCI.1492-16.2016 CrossRefGoogle ScholarPubMed
Takada, L. T. et al. (2006). Comparison between two tests of delayed recall for the diagnosis of dementia. Arquivos de Neuro-Psiquiatria, 64, 3544.CrossRefGoogle ScholarPubMed
White, N., Scott, A., Woods, R. T., Wenger, G. C., Keady, J. D. and Devakumar, M. (2002). The limited utility of the Mini-Mental State Examination in screening people over the age of 75 years for dementia in primary care. British Journal of General Practice, 52, 10021003.Google ScholarPubMed