Impact of hearing loss on verbal fluency task
Impacto da perda auditiva na tarefa de fluência verbal
Julia Santos Costa Chiossi; Aline Duarte Soares; Brasília Maria Chiari
Abstract
Purpose: to describe the clustering and switching characteristics in adult hearing impaired – Brazilian Portuguese speakers – and to verify its relation with the verbal fluency and sociobiological factors.
Methods: a cross-sectional study involving 42 individuals between 18 and 60 years old, attending a Hearing Impaired Reference Center. Subjects were submitted to a Verbal Fluency Task (animals), and the clustering and switching characteristics were analyzed.
Results: there was no significant correlation between hearing impaired sociobiological factors and the verbal fluency or its qualitative analysis (clustering and switching). The mean of the size of the clusters was 0.78 and the mean of switches was 6.69. The educational level had a positive correlation with the production of words and switches, however not significant.
Conclusion: the clustering and switching analysis in the hearing impaired population in this study showed similar values to the literature. Hearing impaired adults presented values close to the expected to its educational level, which may suggest that the use of electronic devices and longer schooling can minimize the negative effects of the hearing loss in the linguistic processing.
Keywords
Resumo
Objetivo: descrever as características de clustering e switching de deficientes auditivos adultos – usuários do português brasileiro – e verificar sua relação com a fluência verbal e fatores sociobiológicos.
Métodos: trata-se de um estudo transversal, composto por 42 indivíduos com idade entre 18 e 60 anos, pacientes em um Centro do Deficiente Auditivo. Foi aplicada uma Tarefa de Fluência Verbal (categoria animais), e as características de clustering e switching foram analisadas.
Resultados: não houve correlação significante entre os fatores sociobiológicos dos deficientes auditivos e a fluência verbal ou suas análises qualitativas (clustering e switching). A média do tamanho dos clusters foi de 0,78 e a média de switches foi de 6,69. A escolaridade apresentou correlação positiva com a produção de palavras e os switches, no entanto, sem significância.
Conclusão: a análise das características de clustering e switching na população deficiente auditiva neste estudo apresentou valores similares aos da literatura. Os deficientes auditivos adultos apresentaram valores próximos ao esperado para sua escolaridade, sugerindo que o uso de dispositivos eletrônicos auditivos e a maior escolarização podem minimizar os efeitos negativos da perda auditiva no processamento linguístico.
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Referências
1. Bishop DVM. Uncommon understanding: development and disorders of language comprehension in children. East Sussex: Psychology Press; 1997.
2. Lupyan G. Linguistically modulated perception and cognition: the label-feedback hypothesis. Front Psychol. 2012;3:54.
3. Troyer AK, Moscovitch M, Winocur G. Clustering and switching as two components of verbal fluency: evidence from younger and older healthy adults. Neuropsychology. 1997;11(1):138-46.
4. Troyer AK, Moscovitch M, Winocur G, Alexander MP, Stuss D. Clustering and switching on verbal fluency: the effects of focal frontal- and temporal-lobe lesions. Neuropsychologia. 1998;36(6):499-504.
5. Lederberg AR, Schick B, Spencer PE. Language and literacy development of deaf and hard-of-hearing children: successes and challenges. Dev Psychol. 2013;49(1):15-30.
6. Campbell J, Sharma A. Compensatory changes in cortical resource allocation in adults with hearing loss. Front Syst Neurosci. 2013;7:71.
7. Folstein MF, Folstein SE, McHugh PR. Mini-mental state: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189-98.
8. Brucki SMD, Nitrini R, Caramelli P, Bertolucci PHF, Okamoto IH. Sugestões para o uso do mini-exame do estado mental no Brasil. Arq Neuropsiquiatr. 2003;61(3-B):777-81.
9. WHO. World Health Organization. Grades of hearing impairment. 2014.
10. Hodges JR, Salmon DP, Butters N. Semantic memory impairment in Alzheimer's disease: failure of access or degraded knowledge? Neuropsychologia. 1992;30(4):301-14.
11. Brucki SMD, Rocha MSG. Category fluency test: effects of age, gender and education on total scores, clustering and switching in Brazilian Portuguese-speaking subjects. Braz J Med Biol Res. 2004;37(12):1771-7.
12. Moreno-Martinez FJ, Goñi-Imízcoz M, Spitznagel MB. Domain or not domain? That is the question: Longitudinal semantic deterioration in Alzheimer's disease. J Clin Exp Neuropsychol. 2011;33(7):785-93.
13. Fagundo AB, López S, Romero M, Guarch J, Marcos T, Salamero M. Clustering and switching in semantic fluency: predictors of the development of Alzheimer's disease. Int J Geriatr Psychiatry. 2008;23(10):1007-13.
14. Andreou G, Trott K. Verbal fluency in adults diagnosed with attention-deficit hyperactivity disorder (ADHD) in childhood. ADHD Atten Defic Hyperact Disord. 2013;5(4):343-51.
15. Caramelli P, Carthery-Goulart MT, Porto CS, Charchat-Fichman H, Nitrini R. Category fluency as a screening test for Alzheimer disease in illiterate and literate patients. Alzheimer Dis Assoc Disord. 2007;21(1):65-7.
16. Le Carret N, Lafont S, Mayo W, Fabrigoule C. The effect of education on cognitive performances and its implication for the constitution of the cognitive reserve. Dev Neuropsychol. 2003;23(3):317-37.
17. Ostrosky-Solís F, Lozano Gutiérrez A. Rey-Osterrieth Complex Figure: effect of age, gender, and educational level on adults from Mexico. Dev Neuropsychol. 2006;30(3):817-33.
18. Capovilla AGS, Capovilla FC. Etiologia, avaliação e intervenção em dislexia do desenvolvimento. In: Capovilla FC. Neuropsicologia e aprendizagem: uma abordagem multidisciplinar. São Paulo: Memnon; 2002.
19. Hawelka S, Wimmer H. Visual target detection is not impaired in dyslexic readers. Vision Res. 2008;48(6):850-2.
20. Most T, Aram D, Andorn T. Early literacy in children with hearing loss: a comparison between two educational systems. Volta Rev. 2006;106(1):5-28.
21. Schorr EA, Roth FP, Fox NA. A comparison of the speech and language skills of children with cochlear implants and children with normal hearing. Commun Disord Q. 2008;29(4):195-210.
22. Geers AE, Moog JS, Biedenstein J, Brenner C, Hayes H. Spoken language scores of children using cochlear implants compared to hearing age-mates at school entry. J Deaf Stud Deaf Educ. 2009;14(3):371-85.
23. Yoshinaga-Itano C. From screening to early identification and intervention: discovering predictors to successful outcomes for children with significant hearing loss. J Deaf Stud Deaf Educ. 2003;8(1):11-30.
24. Bouton S, Bertoncini J, Serniclaes W, Cole P. Reading and reading-related skills in children using cochlear implants: prospects for the influence of cued speech. J Deaf Stud Deaf Educ. 2011;16(4):458-73.
25. Pisoni DB, Conway CM, Kronenberger WG, Henning S, Anaya E. Executive function, cognitive control, and sequence learning in deaf children with cochlear implants. In: Marschark M, Spencer PE (Orgs.). The Oxford handbook of deaf studies, language, and education. Oxford: Oxford University Press; 2010. p.439-57.
Submetido em:
01/07/2015
Aceito em:
11/02/2016
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