Literature DB >> 26621362

An updated Italian normative dataset for the Stroop color word test (SCWT).

A Brugnolo1, F De Carli2, J Accardo3, M Amore4, L E Bosia5, C Bruzzaniti3, S F Cappa6, L Cocito3, G Colazzo7, M Ferrara3, L Ghio4, E Magi4, G L Mancardi3, F Nobili3, M Pardini3, R Rissotto5, C Serrati5, N Girtler3,8.   

Abstract

The Stroop color and word test (SCWT) is widely used to evaluate attention, information processing speed, selective attention, and cognitive flexibility. Normative values for the Italian population are available only for selected age groups, or for the short version of the test. The aim of this study was to provide updated normal values for the full version, balancing groups across gender, age decades, and education. Two kinds of indexes were derived from the performance of 192 normal subjects, divided by decade (from 20 to 90) and level of education (4 levels: 3-5; 6-8; 9-13; >13 years). They were (i) the correct answers achieved for each table in the first 30 s (word items, WI; color items, CI; color word items, CWI) and (ii) the total time required for reading the three tables (word time, WT; color time, CT; color word time, CWT). For each index, the regression model was evaluated using age, education, and gender as independent variables. The normative data were then computed following the equivalent scores method. In the regression model, age and education significantly influenced the performance in each of the 6 indexes, whereas gender had no significant effect. This study confirms the effect of age and education on the main indexes of the Stroop test and provides updated normative data for an Italian healthy population, well balanced across age, education, and gender. It will be useful to Italian researchers studying attentional functions in health and disease.

Keywords:  Executive functions; Italian normative dataset; SCWT; Selective attention

Mesh:

Year:  2015        PMID: 26621362     DOI: 10.1007/s10072-015-2428-2

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


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