Normative data for the Montreal Cognitive Assessment (MoCA) and the Memory Index Score (MoCA-MIS) in Brazil: Adjusting the nonlinear effects of education with fractional polynomials

Imagem de Miniatura
Arquivos
art_APOLINARIO_Normative_data_for_the_Montreal_Cognitive_Assessment_MoCA_2018.PDF (266.28 KB)
Citações na Scopus
30
Tipo de produção
article
Data de publicação
2018
Editora
WILEY
DOI
Indexadores
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Autores
SANTOS, Marilia Funchal dos
SASSAKI, Eduardo
PEGORARO, Fernanda
PEDRINI, Anna Vitoria Alves
CESTARI, Bruna
AMARAL, Ana Helena
MITT, Mayra
MUELLER, Marina Bellatti
Autor de Grupo de pesquisa
Editores
Coordenadores
Organizadores
Citação
INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, v.33, n.7, p.893-899, 2018
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
ObjectiveTo provide age-corrected and education-corrected norms for the Montreal Cognitive Assessment (MoCA) and the Memory Index Score (MoCA-MIS) in Brazil. MethodsCommunity-dwelling outpatients were enrolled if they had no history of neurologic or psychiatric diseases and were not taking any drugs with effects on the central nervous system. Dementia has been excluded with the Functional Activities Questionnaire. The final sample consisted of 597 cognitively healthy Brazilians aged 50 to 90years. To account for nonlinear relationships, we have used fractional polynomials that provide a flexible parameterization for continuous variables. ResultsAccording to the original proposed cutoff (25 points), 87% of our sample would be considered impaired. Even using a more conservative suggestion (22 points), 67% of our normative sample would be regarded as impaired. These data reinforce the need of adjusting cutoffs for schooling in populations with heterogeneous educational backgrounds. MoCA scores presented a nonlinear positive association with education tending to a plateau at higher levels (P<0.001). On the other hand, MoCA-MIS scores presented a nonlinear negative relationship with age, with an accelerated pattern at higher age levels (P<0.001). ConclusionsWe presented normative data for the MoCA and the MoCA-MIS that will facilitate the use of the test in Brazil and, potentially, in other populations with substantial proportions of low-educated individuals. Moreover, we described a systematic approach for adjusting the effects of age and education using fractional polynomials and provided suggestions on how to account for the nonlinear relationship that is frequently encountered between demographic factors and measures of cognitive performance.
Palavras-chave
cognitive function, dementia, mild cognitive impairment, neuropsychological tests, normative study, reference values
URI
https://observatorio.fm.usp.br/handle/OPI/27986
Referências
  1. Acock A. C., 2014, GENTLE INTRO STATA
  2. ALTMAN DG, 1994, BRIT J OBSTET GYNAEC, V101, P29, DOI 10.1111/j.1471-0528.1994.tb13006.x
  3. Ardila A, 1998, Appl Neuropsychol, V5, P51, DOI 10.1207/s15324826an0501_8
  4. Biundo R, 2016, J NEURAL TRANSM, V123, P431, DOI 10.1007/s00702-016-1517-6
  5. Borland E, 2017, J ALZHEIMERS DIS, V59, P893, DOI [10.3233/jad-170203, 10.3233/JAD-170203]
  6. Carson N, 2018, INT J GERIATR PSYCH, V33, P379, DOI 10.1002/gps.4756
  7. Freitas S, 2013, ALZ DIS ASSOC DIS, V27, P37, DOI 10.1097/WAD.0b013e3182420bfe
  8. Freitas S, 2011, J CLIN EXP NEUROPSYC, V33, P989, DOI 10.1080/13803395.2011.589374
  9. Gomez F, 2013, INT J GERIATR PSYCH, V28, P813, DOI 10.1002/gps.3885
  10. Heaton RK, 2004, REVISED COMPREHENSIV
  11. Julayanont P, 2015, J AM GERIATR SOC, V63, P2550, DOI 10.1111/jgs.13820
  12. Julayanont P, 2014, J AM GERIATR SOC, V62, P679, DOI 10.1111/jgs.12742
  13. Kochan NA, 2010, AM J GERIAT PSYCHIAT, V18, P711, DOI 10.1097/JGP.0b013e3181d6b6a9
  14. Krishnan K, 2017, ASSESSMENT, V24, P772, DOI 10.1177/1073191116654217
  15. Memoria CM, 2013, INT J GERIATR PSYCH, V28, P34, DOI 10.1002/gps.3787
  16. Narazaki K, 2013, NEUROEPIDEMIOLOGY, V40, P23, DOI 10.1159/000339753
  17. Nasreddine ZS, 2005, J AM GERIATR SOC, V53, P695, DOI 10.1111/j.1532-5415.2005.53221.x
  18. O'Driscoll C, 2017, J ALZHEIMERS DIS, V58, P789, DOI 10.3233/JAD-161042
  19. Parmenter BA, 2010, J INT NEUROPSYCH SOC, V16, P6, DOI 10.1017/S1355617709990750
  20. Petersen Ronald C, 2016, Continuum (Minneap Minn), V22, P404, DOI 10.1212/CON.0000000000000313
  21. PFEFFER RI, 1982, J GERONTOL, V37, P323, DOI 10.1093/geronj/37.3.323
  22. Ritter A, 2017, J ALZHEIMERS DIS, V58, P695, DOI 10.3233/JAD-161241
  23. Roalf DR, 2013, ALZHEIMERS DEMENT, V9, P529, DOI 10.1016/j.jalz.2012.10.001
  24. Rossetti HC, 2011, NEUROLOGY, V77, P1272, DOI 10.1212/WNL.0b013e318230208a
  25. ROYSTON P, 1994, J R STAT SOC C-APPL, V43, P429, DOI 10.2307/2986270
  26. Royston P, 1998, ULTRASOUND OBST GYN, V11, P30, DOI 10.1046/j.1469-0705.1998.11010030.x
  27. Santangelo G, 2015, NEUROL SCI, V36, P585, DOI 10.1007/s10072-014-1995-y
  28. Teng E, 2010, ALZ DIS ASSOC DIS, V24, P348, DOI 10.1097/WAD.0b013e3181e2fc84
  29. Xu Q, 2014, EUR NEUROL, V71, P106, DOI 10.1159/000353988
  30. Zhou SJ, 2014, SCI WORLD J, DOI 10.1155/2014/689456

Coleções
Artigos e Materiais de Revistas Científicas - FM/MCM
Artigos e Materiais de Revistas Científicas - HC/ICHC
Artigos e Materiais de Revistas Científicas - LIM/22