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Estimating premorbid cognitive abilities in low-educated populations

Apolinario, Daniel ; Brucki, Sonia Maria Dozzi ; Ferretti, Renata Eloah de Lucena ; Farfel, José Marcelo ; Magaldi, Regina Miksian ; Busse, Alexandre Leopold ; Jacob-Filho, Wilson Ginsberg, Stephen D.

PloS one, 2013-03, Vol.8 (3), p.e60084-e60084 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Estimating premorbid cognitive abilities in low-educated populations
Autor: Apolinario, Daniel ; Brucki, Sonia Maria Dozzi ; Ferretti, Renata Eloah de Lucena ; Farfel, José Marcelo ; Magaldi, Regina Miksian ; Busse, Alexandre Leopold ; Jacob-Filho, Wilson
Ginsberg, Stephen D.
Assuntos: Adults ; Age ; Aging ; Analysis ; Autopsy ; Batteries ; Brain research ; Classical test theory ; Cognition & reasoning ; Cognition Disorders - physiopathology ; Cognitive ability ; Correlation ; Correlation coefficient ; Correlation coefficients ; Dementia ; Dementia disorders ; Education ; Educational attainment ; Educational Status ; Estimates ; Factorial analysis ; Female ; Geriatrics ; Humans ; Impairment ; Intelligence ; Intelligence - physiology ; Internal medicine ; Language ; Male ; Medical schools ; Medicine ; Middle Aged ; Neuropsychological Tests ; Populations ; Principal Component Analysis ; Questionnaires ; Reading comprehension ; Redundancy ; Reliability ; Social and Behavioral Sciences ; Socioeconomic factors ; Surveys and Questionnaires ; Teaching methods ; Womens health ; Working groups
É parte de: PloS one, 2013-03, Vol.8 (3), p.e60084-e60084
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Competing Interests: The authors have declared that no competing interests exist.
Data collection: DA REdLF. Conceived and designed the experiments: DA SMDB RMM ALB WJF. Analyzed the data: DA. Wrote the paper: DA SMDB REdLF JMF.
Descrição: To develop an informant-based instrument that would provide a valid estimate of premorbid cognitive abilities in low-educated populations. A questionnaire was drafted by focusing on the premorbid period with a 10-year time frame. The initial pool of items was submitted to classical test theory and a factorial analysis. The resulting instrument, named the Premorbid Cognitive Abilities Scale (PCAS), is composed of questions addressing educational attainment, major lifetime occupation, reading abilities, reading habits, writing abilities, calculation abilities, use of widely available technology, and the ability to search for specific information. The validation sample was composed of 132 older Brazilian adults from the following three demographically matched groups: normal cognitive aging (n = 72), mild cognitive impairment (n = 33), and mild dementia (n = 27). The scores of a reading test and a neuropsychological battery were adopted as construct criteria. Post-mortem inter-informant reliability was tested in a sub-study with two relatives from each deceased individual. All items presented good discriminative power, with corrected item-total correlation varying from 0.35 to 0.74. The summed score of the instrument presented high correlation coefficients with global cognitive function (r = 0.73) and reading skills (r = 0.82). Cronbach's alpha was 0.90, showing optimal internal consistency without redundancy. The scores did not decrease across the progressive levels of cognitive impairment, suggesting that the goal of evaluating the premorbid state was achieved. The intraclass correlation coefficient was 0.96, indicating excellent inter-informant reliability. The instrument developed in this study has shown good properties and can be used as a valid estimate of premorbid cognitive abilities in low-educated populations. The applicability of the PCAS, both as an estimate of premorbid intelligence and cognitive reserve, is discussed.
Editor: United States: Public Library of Science
Idioma: Inglês

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Estimating premorbid cognitive abilities in low-educated populations

Apolinario, Daniel ; Brucki, Sonia Maria Dozzi ; Ferretti, Renata Eloah de Lucena ; Farfel, José Marcelo ; Magaldi, Regina Miksian ; Busse, Alexandre Leopold ; Jacob-Filho, Wilson Ginsberg, Stephen D.

United States: Public Library of Science

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