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Braz. j. med. biol. res ; 38(2): 277-292, fev. 2005. tab
Article in English | LILACS | ID: lil-393646

ABSTRACT

We analyzed the performance of 162 normal subjects, subdivided into groups according to age and schooling, in the oral comprehension tasks of the Boston Diagnostic Aphasia Examination translated and adapted to Brazilian Portuguese to obtain a profile of performance for the Brazilian population, as well as cut-off scores for each task, and to determine the best combination of tasks that distinguish normal from aphasic subjects, as a guide for clinicians. The normal subjects were compared to 69 aphasics. Age alone influenced the performance in the designation of actions (subjects above 70 years showing the worst performance); schooling alone influenced the comprehension of forms, colors and numbers (subjects with less than four years of education showing a poorer performance). Both age and schooling influenced the performance in Body Part Identification (BPI) and Complex Ideational Material (CIM) with mean values of 70.5 ± 3.3 (Word Discrimination, WD), 18.9 ± 1.4 (BPI), 14.7 ± 0.9 (Commands), and 10.3 ± 1.7 (CIM) for the whole sample; the cut-off scores obtained were 65 (WD), 17.5 (BPI), 14 (Commands), and 9.5 (CIM) for the whole sample. Logistic regression showed that the combination of BPI + Commands + CIM was the most efficient in differentiating normal subjects from aphasics, with 72.5 percent sensitivity and 97.6 percent specificity. However, for low-education subjects, BPI and Commands were sufficient for this differentiation (75.7 percent sensitivity and 84.7 percent specificity). The main contribution of this study was to provide reference values that are far more representative of our population to be used by health professionals in Brazil, taking into account cultural differences.


Subject(s)
Humans , Male , Female , Adolescent , Adult , Middle Aged , Aphasia/diagnosis , Language Tests , Speech Perception , Speech Discrimination Tests/instrumentation , Aphasia/psychology , Brazil , Case-Control Studies , Cross-Cultural Comparison , Educational Status , Multivariate Analysis , Sensitivity and Specificity
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