Autor(es): Bertola,Laiss ; Benseñor,Isabela M. ; Gross,Alden L. ; Caramelli,Paulo ; Barreto,Sandhi Maria ; Moreno,Arlinda B. ; Griep,Rosane H. ; Viana,Maria Carmen ; Lotufo,Paulo A. ; Suemoto,Claudia K.
Data: 2021
Origem: Oasisbr
Assunto(s): Parallel tests; longitudinal change; cognition; low and middle income countries; memory; executive function
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 (ELSA-Brasil) 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.
