Background: The Boston Naming Test is frequently used to evaluate naming deficits. The scores used in Brazil have been the same as those used in the American version. In the case of individuals with poor schooling associated to cerebral lesions, a frequent situation in our country, one runs the risk of considering a poor performance as a deficit, what in fact is a consequence of lack of knowledge and cultural deprivation. Aim: to evaluate the influence of age and schooling in the naming ability of normal individuals, from São Paulo city, in a visual confrontation task. [47.4 (6)]. The comparison between the performances of the two age groups did not reveal any significant differences. Higher educational level determined a better performance both in spontaneous and facilitated naming. Cues of stimuli were necessary for the individuals to access the correct name, especially for the group with lower educational level. Phonemic cues, on the other hand, benefited individuals with more than eight years of formal education. The suggested cut-off score for the test to be use in Brazil was calculated by the ROC curve analysis and based on the comparison between normal and aphasic individuals. Conclusion: schooling was the variable that had the greatest influence on performance. Although the level of difficulty of a few items may, to some extent, differ between English and Portuguese, the translated version of the BNT can be used without any adaptations for the Brazilian population, provided that the level of education is taken in consideration when interpreting the results. Key Words: Language Tests; Brazil; Age Groups; Educational Status. ResumoTema: O teste de nomeação Boston é amplamente utilizado para avaliação de alterações de nomeação. Os escores usados no Brasil têm sido os mesmos da versão americana. No caso de indivíduos pouco escolarizados com lesões cerebrais, situação freqüente em nosso país, corre-se o risco de considerar déficit o que na realidade é desconhecimento e privação cultural.Objetivo: avaliar a influência da idade e escolaridade na habilidade de nomeação de amostra de indivíduos normais, da cidade de São Paulo, em uma tarefa de confrontação visual. Método: 133 voluntários normais, com idades entre 28 e 70 anos. Resultados: os escores em nomeação espontânea foram [média (DP)]: [39,4 (9,8)]; por idade: 28 -50 anos [39,5 (10,5)], 51 -70 [39,1 (9,1)]; por escolaridade: 1 -4 anos [33,7 (9,6)], 5 -8 anos [36,6 (7,9)], 9 ou mais [47,4 (6)]. A comparação de desempenho entre os dois grupos de idade, não revelou diferenças significantes. Já o nível educacional mais alto determinou melhor performance tanto para a nomeação espontânea quanto para as facilitações. Pistas do estímulo precisaram ser ativadas para que o sujeito recordasse o nome correto, especialmente no grupo com menor escolaridade. Pistas fonêmicas beneficiaram os indivíduos com mais de oito anos de instrução formal. A nota de corte sugerida para uso no Brasil, foi calculada pela análise da curva ROC e baseada na comparação entre sujei...

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% sensitivity and 97.6% specificity. However, for low-education subjects, BPI and Commands were sufficient for this differentiation (75.7% sensitivity and 84.7% 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.