Coeficiente intelectual en población escolar con dislexia: un modelo de ecuaciones estructurales
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Un adecuado funcionamiento intelectual favorece el aprendizaje (pedagógico y experiencial) y la resolución de problemáticas. Las personas con dislexia presentan un coeficiente intelectual total (CIT) normal, con deficiencias cognoscitivas que afectan la adquisición de competencias lectoras. El objetivo de nuestra investigación fue analizar la relación entre los índices del coeficiente intelectual y el CIT, en 120 pacientes diagnosticados con dislexia, con edades comprendidas entre los 7 y 16 años, que se encuentran en proceso de intervención en un centro neuropsicológico de la ciudad de Medellín, Colombia. Se construyó un modelo de ecuaciones estructurales (MEE) en el software RCran 4.0.4, examinando la relación entre las variables latentes: Memoria de Trabajo (MT), Comprensión Verbal (CV), Velocidad de Procesamiento (VP), Razonamiento Perceptivo (RP) y CIT, con la Escala Wechsler de inteligencia. Los resultados arrojan que la covarianza entre el índice de MT y el CIT fue positiva (.73), indicando una relación directa entre ambas variables. Se concluye un bajo rendimiento en el índice de MT y el CIT de la población evaluada.
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Acha, J. (2016). Hacia un modelo multidimensional del trastorno específico del lenguaje y la dislexia: Déficits compartidos y específicos. Revista de Investigación en Logopedia, 6(2), 107-141. https://doi.org/10.5209/rlog.58545
Ashraf, F., & Najam, N. (2020). An epidemiological study of prevalence and comorbidity of non-clinical Dyslexia, Dysgraphia and Dyscalculia symptoms in public and private schools of Pakistan. Pakistan Journal of Medical Sciences, 36(7), 1659-1663. https://doi.org/10.12669/pjms.36.7.2486
Audras-Torrent, L., Miniarikova, E., Couty, F., Dellapiazza, F., Berard, M., Michelon, C., Picot, M. C., & Baghdadli, A. (2021). WISC-V Profiles and Their Correlates in Children with Autism Spectrum Disorder without Intellectual Developmental Disorder: Report from the ELENA Cohort. Autism research: official journal of the International Society for Autism Research, 14(5), 997-1006. https://doi.org/10.1002/aur.2444
Bathelt, J., Scerif, G., Nobre, A. C. & Astle, D. E. (2019). Whole-brain white matter organization, intelligence, and educational attainment. Trends in Neuroscience and Education, 15, 38-47. https://doi.org/10.1016/j.tine.2019.02.004
Chen, X., Lu, M., Bu, W., Wang, L., Wang, Y., Xu, Y., & Zhong, M. (2021). Psychometric Properties of WISC-IV Verbal Scales: A Study of Students in China Who Are Blind. Journal of Visual Impairment & Blindness, 115(3), 228-241. https://doi.org/10.1177/0145482X211018520
Chung, K. K. H., Lam, C. B., & Leung, C. O. Y. (2020). Contributions of executive functioning to chinese and english reading comprehension in chinese adolescent readers with dyslexia. Reading and Writing, 33(7), 1721-1743. https://doi.org/10.1007/s11145-020-10049-x
Barba, M., Suárez, N., Jomarrón, L., y Navas, C. (2019). Tendencias actuales de la investigación en dislexia y necesidad de formación docente. Revista Cubana de Medicina Militar, 48(2), 410-425. http://www.revmedmilitar.sld.cu/index.php/mil/article/view/400
Botelho, P., Engel de Abreu, P. M. J., Guirro, P., Nogueira, M., Varejão, L., & Coutinho, E. (2020). Rapid Automatized Naming and Explicit Phonological Processing in Children with Developmental Dyslexia: A Study with Portuguese-Speaking Children in Brazil. Frontiers in Psychology, 11, 1-13. https://doi.org/10.3389/fpsyg.2020.00928
De La Peña, C., y Brotóns, E. (2018). Dislexia y discalculia: una revisión sistemática actual desde la neurogenética. Universitas Psychologica, 17(3), 1-11. https://doi.org/10.11144/Javeriana.upsy17-3.ddrs
Díaz, C. (2018). Investigación cualitativa y análisis de contenido temático. Orientación intelectual de revista Universum. Revista General de Información y Documentación, 28(1), 119-142. https://doi.org/10.5209/RGID.60813
Díaz-Narváez, V. P., y Calzadilla-Núñez, A. (2016). Artículos científicos, tipos de investigación y productividad científica en las Ciencias de la Salud. Revista Ciencias de la Salud, 14(01), 115-121. https://doi.org/10.12804/revsalud14.01.2016.10
Döhla, D., Willmes, K., y Heim, S. (2018). Cognitive Profiles of Developmental Dysgraphia. Frontiers in Psychology, 9, 1-12. https://doi.org/10.3389/fpsyg.2018.02006
Eicher, J. D., Montgomery, A. M., Akshoomoff, N., Amaral, D. G., Bloss, C. S., Libiger, O., Schork, N. J., Darst, B. F., Casey, B. J., Chang, L., Ernst, T., Frazier, J., Kaufmann, W. E., Keating, B., Kenet, T., Kennedy, D., Mostofsky, S., Murray, S. S., Sowell, E. R.,… Gruen, J. R. (2016). Dyslexia and language impairment associated genetic markers influence cortical thickness and white matter in typically developing children. Brain Imaging and Behavior, 10(1), 272-282. https://doi.org/10.1007/s11682-015-9392-6
Fogel, Y., Josman, N., & Rosenblum, S. (2021). Exploring the Impacts of Environmental Factors on Adolescents’ Daily Participation: A Structural Equation Modelling Approach. International Journal of Environmental Research and Public Health, 18(1), 1-12. https://doi.org/10.3390/ijerph18010142
Giofrè, D., Toffalini, E., Provazza, S., Calcagnì, A., Altoè, G., & Roberts, D. J. (2019). Are children with developmental dyslexia all the same? A cluster analysis with more than 300 cases. Dyslexia, 25(3), 284-295. https://doi.org/10.1002/dys.1629
Granocchio, E., De Salvatore, M., Bonanomi, E., & Sarti, D. (2021). Sex-related differences in reading achievement. Journal of Neuroscience Research, 00, 1-11. https://doi.org/10.1002/jnr.24913
Greenwood, P., Dudley, J., Hutton, J., DiFrancesco, M., Farah, R., & Horowitz-Kraus, T. (2021). Higher maternal education is related to negative functional connectivity between attention system networks and reading-related regions in children with reading difficulties compared to typical readers. Brain Research, 1766, 1-10. https://doi.org/10.1016/j.brainres.2021.147532
Gu, H., Hou, F., Liu, L., Luo, X., Nkomola, P., Xie, X., Li, X., & Song, R. (2018). Genetic variants in the CNTNAP2 gene are associated with gender differences among dyslexic children in china. EBioMedicine, 34, 165-170. https://doi.org/10.1016/j.ebiom.2018.07.007
Kerner, J., Visser, L., Rothe, J., Schulte-Körne, G., & Hasselhorn, M. (2021). Gender differences in the comorbidity of adhd symptoms and specific learning disorders in a population-based sample. Sustainability (Switzerland), 13(15), 8440-8457. https://doi.org/10.3390/su13158440
Kißler, C., Schwenk, C., & Kuhn, J. (2021). Two dyscalculia subtypes with similar, low comorbidity profiles: A mixture model analysis. Frontiers in Psychology, 12, 1-14. https://doi.org/10.3389/fpsyg.2021.589506
Labin, A., Brenlla, M. E., & Taborda, R. A. (2018). Interpretación del WISC-IV: índices alternativos para la evaluación de las habilidades cristalizadas. Psychologia. Avances de la Disciplina, 12(1), 13-23. https://doi.org/10.21500/19002386.3439
Liang, F., & Li, P. (2019). Characteristics of cognitive in children with learning difficulties. Translational Neuroscience, 10(1), 141-146. https://doi.org/10.1515/tnsci-2019-0024
López-Escribano, C., Suro, J., & Leal, F. (2018). Prevalence of Developmental Dyslexia in Spanish University Students. Brain Sciences, 8(5), 82-97. https://doi.org/10.3390/brainsci8050082
Miciak, J., & Fletcher, J. M. (2020). The Critical Role of Instructional Response for Identifying Dyslexia and Other Learning Disabilities. Journal of Learning Disabilities, 53(5), 343– 353. https://doi.org/10.1177/0022219420906801
Nukari, J. M., Poutiainen, E. T., Arkkila, E. P., Haapanen, M. L., Lipsanen, J. O., & Laasonen, M. R. (2019). Both Individual and Group-Based Neuropsychological Interventions of Dyslexia Improve Processing Speed in Young Adults: A Randomized Controlled Study. Journal of Learning Disabilities, 53(3), 213-227. https://doi.org/10.1177/0022219419895261
Patrick, M. E., Shaw, K. A., Dietz, P. M., Baio, J., Yeargin-Allsopp, M., Bilder, D. A., Kirby, R. S., Hall-Lande, J. A., Harrington, R. A., Lee, L., Lopez, M. L. C., Daniels, J., & Maenner, M. J. (2021). Prevalence of Intellectual Disability among Eight-year-old Children from Selected Communities in the United States, 2014. Disability and Health Journal, 107, 1-22. https://doi.org/10.1016/j.dhjo.2020.101023
Perani, D., Scifo, P., Cicchini, G. M., Della Rosa, P., Banfi, C., Mascheretti, S., Falini, A., Marino, C., & Morrone, M. C. (2021). White matter deficits correlate with visual motion perception impairments in dyslexic carriers of the DCDC2 genetic risk variant. Experimental Brain Research, 239(9), 2725-2740. https://doi.org/10.1007/s00221-021-06137-1
Peters, L., Op de Beeck, H., & De Smedt, B. (2020). Cognitive correlates of dyslexia, dyscalculia and comorbid dyslexia/dyscalculia: Effects of numerical magnitude processing and phonological processing. Research in Developmental Disabilities, 107, 1-10. https://doi.org/10.1016/j.ridd.2020.103806
Radmilović, G., Matijević, V., & Zavoreo, I. (2016). Comparison of psychomotor development screening test and clinical assessment of psychomotor development. Acta Clinica Croatica, 55(4), 600-606. https://doi.org/10.20471/acc.2016.55.04.10
Snowling, M. J., Moll, K., & Hulme, C. (2021). Language difficulties are a shared risk factor for both reading disorder and mathematics disorder. Journal of Experimental Child Psychology, 202, 1-12. https://doi.org/10.1016/j.jecp.2020.105009
Srivastav, A. K., & Chatterjee, S. (2021). Transcranial direct current stimulation to enhance mathematical performance in school going developmental dyscalculic children: A single group pretest-posttest, quasi-experimental study. Revista Pesquisa Em Fisioterapia, 11(3), 457-464. https://doi.org/10.17267/2238-2704rpf.v11i3.3826
Surushkina, S. Y., Yakovenko, E. A., Chutko, L. S., & Didur, M. D. (2021). Dyslexia as a Multifactorial Disorder. Neuroscience and Behavioral Physiology, 51(3), 303-308. https://doi.org/10.1007/s11055-021-01072-8
Tischler, T., Daseking, M., & Petermann, F. (2017). Cognitive abilities and literacy: The role of intelligence in reading skills. Kindheit Und Entwicklung, 26(1), 48-57. https://doi.org/10.1026/0942-5403/a000215
Toffalini, E., Giofrè, D., & Cornoldi, C. (2017). Strengths and weaknesses in the intellectual profile of different subtypes of specific learning disorder: A study on 1,049 diagnosed children. Clinical Psychological Science, 5(2), 402-409. https://doi.org/10.1177/2167702616672038
Üstün, S., Ayyıldız, N., Kale, E. H., Mançe Çalısır, Ö., Uran. P., Öner, Ö., Olkun, S & Çiçek, M. (2021). Children with dyscalculia show hippocampal hyperactivity during symbolic number perception. Frontiers in Human Neuroscience, 15, 1-13. https://doi.org/10.3389/fnhum.2021.687476
Vacas, J., Antolí, A., Sánchez-Raya, A., & Cuadrado, F. (2020). Analysis of cognitive profiles in infant clinical population with neurodevelopmental disorders. Revista Iberoamericana de Diagnóstico y Evaluación Psicológica, 54(1), 35-46. https://doi.org/10.21865/RIDEP54.1.03
Vericat, A., & Orden, A. (2017). Neurological risk in children of moderate neonatal risk. Acta Pediátrica de México, 38(4), 255-266. https://doi.org/10.18233/apm38no4pp255-2661434
Wechsler, D. (2005). WISC-IV: Escala de Inteligencia de Wechsler para Niños-IV. Madrid: TEA.
Yu, Z.Z., Yang, B.R., Zhang, S. H., & Wang, P. (2021). Intellectual characteristics of children with attention deficit hyperactivity disorder and developmental dyslexia. Chinese Journal of Contemporary Pediatrics, 23(2), 148-152. https://doi.org/10.7499/j.issn.1008-8830.2009095