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Comparison of Neuropsychological Performance between Students from Public and Private Brazilian Schools

Published online by Cambridge University Press:  10 January 2013

Fabíola Schwengber Casarin ,
Cristina Elizabeth Izábal Wong ,
Maria Alice de Mattos Pimenta Parente ,
Jerusa Fumagalli de Salles  and
Rochele Paz Fonseca
Fabíola Schwengber Casarin*
Affiliation:
Pontifícia Universidade Católica do Rio Grande do Sul (Brazil)
Cristina Elizabeth Izábal Wong
Affiliation:
Pontifícia Universidade Católica do Rio Grande do Sul (Brazil)
Maria Alice de Mattos Pimenta Parente
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
Jerusa Fumagalli de Salles
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
Rochele Paz Fonseca
Affiliation:
Pontifícia Universidade Católica do Rio Grande do Sul (Brazil)
*
Correspondence concerning this article should be addressed to Fabíola Schwengber Casarin. Pontifícia Universidade Católica do Rio Grande do Sul. Av. Ipiranga, 6681 - Prédio 11 - 9° andar, sala 932. CEP: 90619-900. Porto Alegre/RS. (Brazil) E-mail: [email protected]
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Abstract

Neuropsychological assessment reveals that certain cognitive changes that take place during the neural development process may be associated with biopsychosocial issues. A substantial body of research has focused on cognitive development in children and adults, but few such studies have been carried out on adolescents. Therefore, research into the processing of neuropsychological functions in adolescents, taking into account the role of major socio-cultural factors such as school type (public vs. private), is highly relevant. The present study sought to assess whether differences in neuropsychological development exist between adolescent students of public (government-funded) and private schools. A total of 373 grade-matched students between the ages of 12 and 18, 190 from public schools and 183 from private schools, took part in the study. All subjects had no self-reported neurologic or psychiatric conditions and sensory disorders. The NEUPSILIN Brazilian Brief Neuropsychological Assessment Battery was administered to this sample. Comparison of mean scores (one-way ANCOVA with socioeconomic score and age as covariates) showed that adolescents attending private schools generally outperformed their public-school peers in tasks involving sustained attention, memory (working and visual), dictated writing, and constructional and reflective abilities. We conclude that school type should be taken into account during standardization of neuropsychological assessment instruments for adolescent and, probably, child populations.

La evaluación neuropsicológica evidencia los cambios cognitivos durante el proceso de neurodesarrollo que pueden asociarse a cuestiones biopsicosociales. Existe un número considerable de investigaciones sobre el desarrollo cognitivo en niños y adultos, pero pocos estudios con adolescentes. Por tanto es relevante investigar cómo los adolescentes procesan las funciones neuropsicológicas, considerando el papel de factores socioculturales importantes como el tipo de escuela (pública o privada). El objetivo del presente estudio fue investigar si existen diferencias neuropsicológicas de ejecución entre adolescentes de en escuelas públicas y privadas. Participaron del estudio 373 estudiantes, 190 de escuela pública y 183 de escuela privada, con edades entre 12 y 18 años, emparejados por grado escolar. Ninguno de los sujetos mostraba alteraciones neurológicas, psiquiátricas o sensoriales auto relatadas. Esta muestra fue examinada con el Instrumento Brasileño de Evaluación Neuropsicológica Breve NEUPSILIN. La comparación de medias (ANCOVA unidireccional con puntuación socioeconómica y edad como covariantes) mostró que en general los estudiantes de escuela privada superan a sus pares de escuela publica en atención concentrada, memoria (de trabajo y visual), lenguaje escrito, capacidades constructivas y reflexivas. De esta forma, se concluye que el tipo de escuela debe tenerse en cuenta durante la normalización de instrumentos de evaluación neuropsicológica para adolescentes, y probablemente, población infantil.

Keywords

neuropsychological assessmentcognitionadolescentschoolsocioeconomic statusevaluación neuropsicológicacogniciónadolescentesescuelanivel socioeconómico
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 15 , Issue 3 , November 2012 , pp. 942 - 951
Copyright
Copyright © Cambridge University Press 2012

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References

Amaral, R. A., & Malbergier, A. (2004). Avaliação do instrumento de detecção de problemas relacionados ao uso do álcool (CAGE) entre trabalhadores da prefeitura dos Campi da Universidade de São Paulo (USP) – Campus Capital [Assessment tool to detect problems related to alcohol abuse (CAGE) among employees of the municipality of Campi University of São Paulo (USP) – Capital Campus]. Revista Brasileira de Psiquiatria, 26, 156–183. http://dx.doi.org/10.1590/S1516-44462004000300005CrossRefGoogle Scholar
Andrade, V. M., Santos, F. H., & Bueno, O. F. A. (2004). Neuropsicologia Hoje. [Today neuropsychology] São Paulo, Brazil: Artes Médicas.Google Scholar
Andrade, V. M., & Bueno, O. F. A. (2007). Neuropsicologia transcultural: Grupo indígena guarani. [Cross-cultural neuropsychology: Guarani indigenous group] Estudos de psicologia (Natal), 12, 253–258. http://dx.doi.org/10.1590/S1413-294X2007000300007CrossRefGoogle Scholar
Ardila, A. (2005) Cultural values underlying psychometric cognitive testing. Neuropsychology Review, 15, 185–195. http://dx.doi.org/10.1007/s11065-005-9180-yCrossRefGoogle ScholarPubMed
Ardila, A., Ostrosky-Solis, F., Rosselli, M., & Gómez, C. (2000). Age-related cognitive decline during normal aging: The complex effect of education. Archives of Clinical Neuropsychology, 15, 495–513. http://dx.doi.org/10.1016/S0887-6177(99)00040-2Google ScholarPubMed
Ardila, A., Rosselli, M., Matute, E., & Guajardo, S. (2005). The influence of the parent's educcacional level on the development of executive functions. Development Neuropsychology, 28, 539–560. http://dx.doi.org/10.1207/s15326942dn2801_5CrossRefGoogle ScholarPubMed
Associação Nacional de Empresas de Pesquisa – ANEP (2008). Critério de Classificação Econômica Brasil. [Brazil Economic Classification Criterion] Retrieved from http://www.marketanalysis.com.br/arquivos-download/biblioteca/cceb-1.pdfGoogle Scholar
Avram, S., & Dronkers, J. (2010). School sector variation on noncognitive dimensions: Are denominational schools different? (Unpublished document). Munich, Germany: Munich Personal RePEc ArchiveGoogle Scholar
Azambuja, D. (2007) Reabilitação dos distúrbios de aprendizagem na adolescência e suas relações com a linguagem [Rehabilitation of learning disorders in adolescence and relationship with language]. In Sennyey, A. L., Mendonça, L. I. Z., Schlecht, B. B. G., Santos, E. F., & Macedo, E. C. (Org.), Neuropsicologia e inclusão [Neuropsychology and inclusion] (pp.261–268). São Paulo, Brazil: Artes Médicas.Google Scholar
Blakemore, S. J., & Choudhury, S. (2006). Development of the adolescent brain: Implications for executive function and social cognition. Journal of Child Psychology and Psychiatry, 47, 296–312. http://dx.doi.org/10.1111/j.1469-7610.2006.01611.xCrossRefGoogle ScholarPubMed
Bochner, R. (2006). Perfil das intoxicações em adolescentes no Brasil no período de 1999 a 2001 [Profile of poisonings among adolescents in Brazil form 1999 to 2001]. Cadernos Saúde Pública, 22, 587–595. http://dx.doi.org/10.1590/S0102-311X2006000300014CrossRefGoogle ScholarPubMed
Carvalho, A. M. P. (2000). Baixo rendimento escolar: Uma visão a partir do professor [Low school performance: A view from the teacher]. In Funayama, C. A. R. (Org.), Problemas de aprendizagem: Enfoque multidisciplinar [Learning problems: Multidisciplinary aproach]. (pp. 115–146). Campinas, Brazil: Alínea.Google Scholar
Cervini, R. (2003). Diferencias de resultados cognitivos y nocognitivos entre estudiantes de escuelas públicas y privadas en la educación secundaria de Argentina: Un análisis multinivel [Differences in cognitive and non-cognitive among students of public and private schools in secundary education in Argentina: A multilevel analysis]. Education Policy Analysis Archives, 11, 1–32.CrossRefGoogle Scholar
Charchat-Fichman, F. H., Caramelli, P., Sameshima, K., & Nitrini, R. (2005). Declínio da capacidade cognitiva durante o envelhecimento [Decline of cognitive capacity during aging]. Revista Brasileira de Psiquiatria, 27, 79–82. http://dx.doi.org/10.1590/S1516-44462005000100017CrossRefGoogle Scholar
Coleman, J., Hoffer, T., & Kilgore, S. (1982). Cognitive outcomes in public and private schools. Sociology of Education, 55, 65–76. http://dx.doi.org/10.2307/2112288CrossRefGoogle Scholar
Coppens, P., Parente, M. A. M. P., & Lecours, A. R. (1998). Aphasia in illiterate individuals. In Coppens, P., Basso, A., Leburn, Y., & Lebrun, Y. (Eds.), Aphasia in atypical populations (pp. 175–202). London, England: Laurence Erlbaum Associates.Google Scholar
DalVesco, A., Mattos, D., Benincá, C., & Tarasconi, C. (1998). Correlação entre WISC e rendimento escolar na escola pública e na escola particular [Correlation between WISC and school performance in public school and private school]. Psicologia: Reflexão e Crítica, 11, 481–495. http://dx.doi.org/10.1590/S0102-79721998000300008Google Scholar
Davidson, P. S. R., Gao, F. Q., Mason, W. P., Winocur, G., & Anderson, N. D (2008). Verbal. fluency, trail making, and Wisconsin Card Sorting Test performance following right frontal lobe. Journal of Clinical and Experimental Neuropsychology, 30, 18–32. http://dx.doi.org/10.1080/13803390601161166CrossRefGoogle ScholarPubMed
Demo, P. (2007). Escola pública e escola particular: Semelhanças de dois imbróglios educacionais [Public school and private school: Resemblances two places educational]. Ensaio: Avaliação das Políticas Públicas e Educacionais, 15, 181–206.Google Scholar
Dotson, V. M., Kitner-Triolo, M. H., Evans, M. K., & Zonderman, A. B. (2009). Effects of race and socioeconomic status on the relative influence of education and literacy on cognitive functioning. Journal of the International europsychological Society, 15, 580–589. http://dx.doi.org/10.1017/S1355617709090821CrossRefGoogle ScholarPubMed
Duncan, M. T. (2006). Obtenção de dados normativos para desempenho no Teste de Stroop num grupo de estudantes do ensino fundamental de Niterói [Assessment of normative data of Stroop Test performance in a group of elementary school students in Niterói]. Jornal Brasileiro de Psiquiatria, 55, 42–48.CrossRefGoogle Scholar
Ewing, J. A. (1984). Detecting alcoholism: The CAGE Questionnaire. Journal of the American Medical Association, 252, 1905–1907. http://dx.doi.org/10.1001/jama.1984.03350140051025CrossRefGoogle ScholarPubMed
Ferrari, J. F., & Delacort, R. R. (2007) Uso da Escala de Depressão Geriátrica de Yesavage para avaliar a prevalência de depressão em idosos hospitalizados [Use of Yesavage's Geriatric Depression Scale to evaluate the prevalence of depression in inpatient elderly subjects]. Scientia Medica, 17, 3–8.Google Scholar
Fonseca, R. P., Salles, J., & Parente, M. A. M. P. (2008). Development and content validiy of the Brazilian Brief Neuropsychological Assessment Battery Neupsilin. Psychology euroscience, 1, 56–62. http://dx.doi.org/10.3922/j.psns.2008.1.009Google Scholar
Fonseca, R. P., Salles, J., & Parente, M. A. M. P. (2009). Instrumento de Avaliação europsicológica Breve NEUPSILI [Neuropsychologycal Assessment Instrument NEUPSILIN]. São Paulo, Brazil: Editora Vetor.Google Scholar
Foss, M. P., Vale, do F. A. C., & Speciali, J. G. (2005). Influência da escolaridade na avaliação neuropsicológica de idosos aplicação e análise dos resultados da Escala de Mattis para Avaliação de Demência (Mattis Dementia Rating Scale -MDRS) [Influence of education on the neuropsychological assessment of the elderly: Application and analysis of the results from the Mattis Dementia Rating Scale (MDRS)]. Arquivos de europsiquiatria, 63, 119–126. http://dx.doi.org/10.1590/S0004-282X2005000100022CrossRefGoogle ScholarPubMed
Gardinal, E. C., & Marturano, E. M. (2007). Meninos e meninas na educação infantil: Associação entre comportamento e desempenho [Boys and girls in kindergarten: Association between behavior and achievement]. Psicologia em Estudo, 12, 541–551.CrossRefGoogle Scholar
Guimarães, I. E., Ciasca, S. M., Valeriana, M., & Moura-Ribeiro, L. (2002). Neuropsychological evaluation of children after ischemic cerebrovascular disease. Arquivos de europsiquiatria, 60, 386–389. http://dx.doi.org/10.1590/S0004-282X2002000300009CrossRefGoogle ScholarPubMed
Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep) (2005). Sistema de Avaliação do Ensino Básico – Saeb-(2005) [Evaluation system of basic education (2005)]. Brasilia, Brazil: Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep). Retrieved from http://portal.inep.gov.br/publicacoessaebGoogle Scholar
Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep) (2006). Resultados do Enem 2005: Análise do perfil socioeconômico e do desempenho dos participantes. [Results Enem 2005: Analysis of socioeconomic profile and performance of participants] Brasilia, Brazil: Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep) Retrieved from http://www.publicacoes.inep.gov.br/arquivos/%7BD7F51984-F717-4D2D-9AAF-1D21668496D6%7D_miolo1_resultados%20do%20Enem%202005.pdfGoogle Scholar
Johnson, D. K., Storandt, M., & Balota, D. A. (2003). Discourse analysis of logical memory recall in normal aging and in dementia of the Alzheimer type. Neuropsychology, 17, 82–92. http://dx.doi.org/10.1037/0894-4105.17.1.82CrossRefGoogle ScholarPubMed
Kennepohl, S. (1999). Toward a cultural neuropsychology: An alternative view and a preliminary model. Brain and Cognition, 41, 365–380. http://dx.doi.org/10.1006/brcg.1999.1138CrossRefGoogle Scholar
Korkman, M. (2001). Introduction to the special issue on normal neuropsychological development in the school-age years. Developmental Neuropsychology, 20, 325–330. http://dx.doi.org/10.1207/S15326942DN2001_1CrossRefGoogle Scholar
Lanfranchi, S., Jerman, O., Dal Pont, E., Alberti, A., & Vianello, R. (2010). Executive function in adolescents with Down Syndrome. Journal of Intellectual Disability Research, 54, 308–319. http://dx.doi.org/10.1111/j.1365-2788.2010.01262.xCrossRefGoogle ScholarPubMed
Leybart, J., Alegria, J., Deltour, J. J., & Skinkel, R. (1997). Aprender a ler: O papel da linguagem, da consciência fonológica e da escola [Learning to read: The role of language, phonological awareness and school]. In Grégoire, J. & Piérart, B., (Eds.), Avaliação dos problemas de escrita: Os novos modelos teóricos e suas implicações diagnósticas [Assessment of writting problems: The new theorical models and their implications for diagnosis]. (pp. 142–166). Porto Alegre, Brazil: Artes médicas.Google Scholar
Lezak, M. D., Howieson, D. B., Loring, D. W., Hannay, H. J., & Fischer, J. S. (2004). Neuropsychological assessment. Oxford, England: Loring Oxford.Google Scholar
Lins e Silva, M. E., & Spinillo, A. G. (1998). Uma análise comparativa da escrita de histórias pelos alunos de escolas públicas e particulares [A comparative analysis of stories written by students of public and private schools]. Revista Brasileira de Estudos Pedagógicos, 79, 5–16.Google Scholar
Machado, J. C., Ribeiro, R. C. L., Leal, P. F. G., & Cotta, R. M. M. (2007). Avaliação do declínio cognitivo e sua relação com as características socioeconômicas dos idosos em Viçosa, Minas Gerais [Evaluation of cognitive decline and its relationship with socioeconomic characteristics of the elderly in Viçosa, Minas Gerais]. Revista Brasileira de Epidemiologia, 10, 592–605.CrossRefGoogle Scholar
Malloy-Diniz, L. F., Cardoso-Martins, C., Nassif, E. P., Levy, A., Leite, W. B., & Fuentes, D. (2008). Planning abilities of children aged 4 years and 9 months to 81/2 years. Dementia & europsychologia, 2, 26–30.CrossRefGoogle Scholar
Malloy-Diniz, L. F., Lasmar, V. A. P., Gazinelli, L. S. R., Fuentes, D., & Salgado, J. V. (2007). Teste de aprendizagem auditivoverbal de Rey: Aplicabilidade na população idosa brasileira [The Rey Auditory-Verbal Learning Test: Applicability for the Brazilian elderly population] Revista Brasileira de Psiquiatria, 29, 324–329.CrossRefGoogle Scholar
Marturano, E. M. (1999). Recursos no ambiente familiar e dificuldades de aprendizagem na escola [Resources in the family environment and learning difficulties in school]. Psicologia: Teoria e Pesquisa, 15, 153–162.Google Scholar
Matute, E. V., Sanz, A. M., Gumá, E. D., Rosselli, M., & Ardila, A. (2009). Influencia del nivel educativo de los padres, el tipo de escuela y el sexo en el desarrollo de la atención y la memoria [Influence of parent's educational level, school type and sex on the development of attention and memory]. Revista Latinoamericana de Psicología, 41, 257–276.Google Scholar
Mello, C. B., Miranda, M. C., & Muskat, M. (2005). Neuropsicologia do desenvolvimento – conceitos e abordagens [Neuropsychology development – concepts and approaches]. São Paulo, Brazil: Mennon.Google Scholar
Ney, M. G., Totti, M. E. F., & Reid, T. L. S. (2010). A influência das condições socioeconômicas das famílias na qualidade da educação básica na região Norte Fluminense [Influence of parents' educational level, school type and sex on the development of attention and memory]. Vértices, 12, 103–119.CrossRefGoogle Scholar
Nogueira, G. J., Castro, A., Naveira, L., Nogueira-Antuano, F., Natinzon, A., Gigli, S. L., … Marchesi, M. (2005). Evaluación de las funciones cerebrales superiores en niños de 1° y 7° grado pertenecientes a dos grupos socioeconómicos diferentes [Evaluation of the higher brain functions in 1st and 7th grade school children belonging two diferent socioneconomic groups]. Revista de eurología, 40, 397–406.CrossRefGoogle Scholar
Ostrosky-Solís, F., Ardila, A., & Rosselli, M. (1999). NEUROPSI: A brief neuropsychological test battery in Spanish with norms by age and educational level. Journal of the International Neuropsychological Society, 5, 413–433. http://dx.doi.org/10.1017/S1355617799555045CrossRefGoogle ScholarPubMed
Pagliuso, L., & Pasian, S. R. (2007). As figures complexas de Rey: Normas preliminaries com crianças de 9 e 10 anos [The rey-osterrieth complex figure: Preliminary norms to children 9-10 years old]. Psico, 38, 148–156.Google Scholar
Papalia, D. E., & Olds, S. W. (2000). Desenvolvimento Humano [Human Development]. Porto Alegre, Brazil: Artmed.Google Scholar
Pluchon, C., Simonnet, E., Toullat, G., & Gil, R. (2002). Les effets du vieillissement normal sur la dénomination des visages et la reconnaissance de personnages célèbres: Batterie 75 [The effects of normal aging on face naming and recognition of famous people: Battery 75]. Revue eurologique, 158, 703–708.Google Scholar
Plumet, J., Gil, R., & Gaonac'h, D. (2005). Neuropsychological assessment of executive functions in women: Effects of age and education. Neuropsychology, 19, 566–577. http://dx.doi.org/10.1037/0894-4105.19.5.566CrossRefGoogle ScholarPubMed
Prando, M. L., Pawlowski, J., Fachel, J. M. G., Misorelli, M. I. L., & Fonseca, R. P. (2010) Relação entre habilidades de processamento auditivo e funções neuropsicológicas em adolescentes. [Relation between auditory processing abilities and neuropsychological process in teenagers]. Revista CEFAC, 12, 646-661. http://dx.doi.org/10.1590/S1516-18462010005000027CrossRefGoogle Scholar
Rahko, J., Paakki, J. J., Starck, T., Nikkinen, J., Remes, J., Hurting, T., … Kiviniemi, V. (2010). Functional mapping of dynamic happy and fearful facial expression processing in adolescents. Brain Imaging and Behavior, 4, 164–176. http://dx.doi.org/10.1007/s11682-010-9096-xCrossRefGoogle ScholarPubMed
Rojas-Drummond, S. M., Albarrán, C. D., & Littleton, K.S. (2008). Collaboration, creativity and the co-construction of oral and written texts. Thinking Skills and Creativity, 3, 177–191. http://dx.doi.org/10.1016/j.tsc.2008.09.008CrossRefGoogle Scholar
Rosseli, M., Matute, A., Ardila, A., Botero-Gómez, V. E., Tangarife-Salazer, G. A., Echevarría-Pulido, S. E., … Ocampo-Agudelo, P. (2004). Evalución neuropsicológica infantil (ENI): Una bateria para la evaluación de niños entre 5 y 16 años de edad. Estudio normativo colombiano [Neuropsychological assessment of children: A test battery for children between 5 and 16 years of age. A Colombian normative study]. Revista de eurolgía, 38, 720–731.Google Scholar
Rosselli, M., Matute, E., & Ardila, A. (2006). Predictores neuropsicológicos de la lectura en español [Neuropsychological predictors of reading ability in spanish]. Revista eurologia, 42, 202–210.Google Scholar
Salles, J. F., Parente, M. A. M. P., & Freitas, L. B. L. (2010). Leitura/escrita em crianças: Comparações entre grupos de diferentes escolas públicas [Children's reading/writing: Comparison among groups of different public schools]. Paidéia, 20, 335–344. http://dx.doi.org/10.1590/S0103-863X2010000300006CrossRefGoogle Scholar
Santos, F. H. (2005). Reabilitação neuropsicológica pediátrica [Paediatric neuropsychological rehabilitation]. Psicologia ciência e profissão, 25, 450–461.CrossRefGoogle Scholar
Senler, B., & Sungur, S. (2009). Parental influences on students' self-concept, task value beliefs, and achievement in science. The Spanish Journal of Psychology, 12, 106–117.CrossRefGoogle ScholarPubMed
Soares, J. F. (2007). Melhoria do desempenho cognitivo dos alunos do ensino fundamental [Improving cognitive performance of students enrolled in elementary school]. Cadernos de Pesquisa, 37, 135–160. http://dx.doi.org/10.1590/S0100-15742007000100007CrossRefGoogle Scholar
Strauss, E., Sherman, E. M. S., & Spreen, O. (2006). A compendium of neuropsychological tests (3rd Ed.). Oxford, England: Oxford University Press.Google Scholar
Wolfle, L. M. (1987). Enduring cognitive effects of public and private schools. Educational Researcher, 16, 5–11. http://dx.doi.org/10.3102/0013189X016004005CrossRefGoogle Scholar