1. Spanish normative studies (NEURONORMA-Plus project): norms for the Wisconsin Card Sorting Test, the Modified Taylor Complex Figure, and the Ruff-Light Trail Learning Test
- Author
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C. Pérez-Enríquez, G. García-Escobar, M. Florido-Santiago, J. Piqué-Candini, C. Arrondo-Elizarán, L. Grau-Guinea, B. Pereira-Cuitiño, R.M. Manero, A. Puig-Pijoan, J. Peña-Casanova, and G. Sánchez-Benavides
- Subjects
Normas/Estudios normativos ,Aprendizaje y memoria ,Funciones ejecutivas ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Objective: The present study aims to provide norms and age-, education-, and sex-adjusted data for the Wisconsin Card Sorting Test (WCST), the Modified Taylor Complex Figure (MTCF), and the Ruff-Light Trail Learning Test (RULIT) as part of the NEURONORMA-Plus project. Methods: We recruited 308 cognitively healthy individuals aged between 18 and 92 years. Tables are provided to convert raw scores to age-adjusted scaled scores, as well as adjustments for education and sex after applying independent regression models in 2 age groups (< 50 and ≥ 50 years). Results: Older age had a negative effect on performance in both age groups. We observed a positive effect of education on WCST performance in the younger group (< 50 years), and on all MTCF measures (with the exception of the recognition task) in the older group (≥ 50 years). Education had no impact on performance in the RULIT, although sex did, with a small but significant effect whereby young men showed higher performance for one variable. Conclusion: The normative data provided can contribute to the clinical interpretation of performance in these tests in the Spanish population. Resumen: Objetivo: el presente estudio tiene como objetivo proporcionar normas y ajustes para edad, educación y el género para el Wisconsin Card Sorting Test (WCST), la Figura Compleja Modificada de Taylor (FCMT) y el Ruff-Light Trail Learning Test (RULIT) como parte del proyecto NEURONORMA-Plus. Método: la muestra consiste en 308 individuos cognitivamente sanos de entre 18 y 92 años. Se proporcionan tablas para convertir las puntuaciones brutas en puntuaciones escalares ajustadas por edad y ajustes por educación y género tras aplicar modelos de regresión independientes en dos grupos de edad (
- Published
- 2024
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