Longitudinal measurement invariance of neuropsychological tests in a diverse sample from the ELSA-Brasil study

Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil.
Universidade de São Paulo. Hospital Universitário. Centro de Pesquisa Clínica e Epidemiológica. São Paulo, SP, Brasil / Universidade de São Paulo. Faculdade de Medicina. Departamento de Medicina Interna. São Paulo, SP, Brasil.
Johns Hopkins Bloomberg School of Public Health. Department of Epidemiology. Baltimore, USA.
Universidade Federal de Minas Gerais. Faculdade de Medicina. Departamento de Clínica Médica. Belo Horizonte, MG, Brasil.
Universidade Federal de Minas Gerais. Faculdade de Medicina. Hospital das Clínicas. Belo Horizonte, MG, Brasil.
Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Departamento de Epidemiologia e Métodos Quantitativos em Saúde. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Educação em Ambiente e Saúde. Rio de Janeiro, RJ, Brasil.
Universidade Federal do Espírito Santo. Departamento de Medicina Social. Vitória, ES, Brasil.
Universidade de São Paulo. Faculdade de Medicina. Departamento de Medicina Interna. São Paulo, SP, Brasil.
Universidade de São Paulo. Faculdade de Medicina. Divisão de Geriatria. São Paulo, SP, Brasil.

Abstract

Objective: Longitudinal measurement invariance analyses are an important way to assess a test’s ability to estimate the underlying construct over time, ensuring that cognitive scores across visits represent a similar underlying construct, and that changes in test performance are attributable to individual change in cognitive abilities. We aimed to evaluate longitudinal measurement invariance in a large, social and culturally diverse sample over time. Methods: A total of 5,949 participants from the Brazilian Longitudinal Study of Adult Health (ELSABrasil) were included, whose cognition was reassessed after four years. Longitudinal measurement invariance analysis was performed by comparing a nested series of multiple-group confirmatory factor analysis models (for memory and executive function factors). Results: Configural, metric, scalar and strict invariance were tested and supported over time. Conclusion: Cognitive temporal changes in this sample are more likely to be due to normal and/or pathological aging. Testing longitudinal measurement invariance is essential for diverse samples at high risk of dementia, such as in low- and middle-income countries.

Keywords in Portuguese

Testes paralelos
Função executiva
Mudança longitudinal
Cognição
Memória
Países de baixa e média renda

Keywords

Parallel tests
Longitudinal change
Cognition
Low and middle income countries
Memory
Executive function

Publisher

Associação Brasileira de Psiquiatria

Citation

BERTOLA, Laiss et al. Longitudinal measurement invariance of neuropsychological tests in a diverse sample from the ELSA-Brasil study. Brazilian Journal of Psychiatry, v. 00, n. 00, p. 1-8, 2020.

DOI

10.1590/1516-4446-2020-0978

ISSN

1516-4446

Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/45863

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Open access

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