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Updated: Feb 17, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Mattis dementia rating scale (DRS) normative data for the brazilian middle-age and elderly populations
Maria Paula Foss1, Viviane Amaral de Carvalho2, Thais Helena Machado3
1Psicóloga do Setor de Distúrbios do Movimento e Neurologia Comportamental do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da USP, Doutora em Ciências Médicas (Neurociências) da FMRP-USP, Ribeirão Preto SP, Brazil.
Objective:
To expand norms for the Mattis Dementia Rating Scale (DRS) for the Brazilian middle-age and elderly populations.
Methods:
The DRS was administered to 502 individuals without cognitive deficits, 312 women and 190 men, aged 50 years or over and with educational level ranging from 0 to 13 years or more. The sample was composed of subjects who participated in other studies, from Caeté (Minas Gerais state), Ribeirão Preto (São Paulo state) and São Paulo (São Paulo state). Participants were divided into four schooling groups (illiterate, 1 to 4 years, 5 to 12 years and 13 years or more). The subjects were divided into four groups according to age (50 to 60, 61 to 70, 71 to 80, and 80 years or over).
Results:
Normative data for DRS scores are expressed as percentile values. The group with lowest schooling and subjects older than 80 years had the worst scores.
Conclusion:
As expected, age and education were strongly correlated with DRS scores. Illiterates and older old individuals performed worse than the other groups. These data might help to improve the accuracy of the diagnosis of cognitive impairment and dementia in Brazilian middle-age and elderly populations.
