Validez de las pruebas de atención para el diagnóstico diferencial de TDAH infantil y Trastornos del Aprendizaje

  1. Alava Sordo, Silvia 1
  2. Garrido Hernansaiz, Helena 2
  3. García, María Cantero 3
  4. Sánchez Iglesias, Ivan 4
  5. González Moreno, Jesús 5
  6. Santacreu, José 6
  1. 1 Centro Álava Reyes
  2. 2 Departamento de Educación y Psicología. Centro Universitario Cardenal Cisneros.
  3. 3 Universidad Europea de Madrid. Facultad de Ciencias Biomédicas y de la Salud & Universidad Internacional de Valencia. Área salud
  4. 4 Psychobiology & Behavioral Sciences Methods. Universidad Complutense de Madrid.
  5. 5 Universidad Internacional de Valencia. Área salud
  6. 6 Facultad de Psicología. Universidad Autónoma de Madrid.
Revista:
Electronic journal of research in educational psychology

ISSN: 1696-2095

Año de publicación: 2021

Volumen: 19

Número: 54

Páginas: 437-464

Tipo: Artículo

DOI: 10.25115/EJREP.V19I54.3868 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Electronic journal of research in educational psychology

Resumen

Introduction.There are different tests that assess attention and can help to make a differential diagnosis between ADHD and Learning Disabilities(LD), but there appears to be little researchonthe convergent and predictive validity of these tests. The aim of this study was to analyze the convergent validity of the EMAV, Caras, d2, AGL, CPT-II and CSAT attention tests and to assess their usefulness for identifying people diagnosed with ADHDascompared to people with LD, based on DSM-5 criteria. Method.Convergent validity of the instruments was studied via non-parametric correlations, and their predictive validity through binary logistic regression.A clinical sample composed of 437 children was used (234 had an ADHD diagnosis and 203 an LD diagnosis with ADHD ruled out). Results.The results indicate that selective attention measures showed weak correlations be-tween themselves, as was also the case with sustained attention measures.Moreover, correlations between measures of the contrastingtypes of attention were of similar magnitude, whichcasts doubt on whether they measure what they claim to measure. The best predictor of ADHDvs. LD differential diagnosis was the confidence index of the CPT-II, in all ages. In addition, forchildren between the ages of 6 and 16, their percentile in correct answers on the Caras test was quite informative, and for children from 8 to 17, the d2concentration index.

Referencias bibliográficas

  • Angello, L. M., Volpe, R. J., DiPerna, J. C., Gureasko, M., Sammi, P., Gureasko-Moore, D. P., Hnebrig, M. R., y Ota, K. (2003). Assessment of attention-deficit/hyperactivity disorder. An evaluation of six published rating scales. School Psychology Review, 32(2), 241–262.
  • Amador, J. A., Forns, M., Guàrdia, J., & Peró, M. (2005). Utilidad diagnóstica del Cuestionario TDAH y del Perfil de atención para discriminar entre niños con trastorno por déficit de atención con hiperactividad, trastornos del aprendizaje y controles. Anuario de Psicología, 36, 211-224.
  • American Psychiatric Association (2014). Diagnostic and Statistical Manual of Mental Disorders (5th ed.) Text Revised. Washington, DC: American Psychiatric Association.
  • American Psychiatric Association (2013). Diagnosis and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.
  • Ardila, A. & Ostrosky, F., (2012). Guía para el diagnóstico neuropsicológico. Miami, FL: Florida International University.
  • Areces, D., García, T., Cueli, M., y Rodríguez, C. (2019). Is a Virtual Reality Test Able to Predict Current and Retrospective ADHD Symptoms in Adulthood and Adolescence?. Brain sciences, 9(10), 274.
  • Areces, D., Rodríguez, C., García, T., Cueli, M., y González-Castro, P. (2018). Efficacy of a Continuous Performance Test Based on Virtual Reality in the Diagnosis of ADHD and Its Clinical Presentations. Journal of attention disorders, 22(11), 1081–1091.
  • Barkley, R. A. (1994). Can neuropsychological tests help diagnose ADD/ADHD? The ADHD Report, 2, 1–3.
  • Barkley, R. A. (1996). Attention-deficit hyperactivity disorder. En E. J. Mash y R. A. Barkley (Eds.), Child psychopatology (pp. 63-112). New York, NY: Guilford Press.
  • Barkley, R. A. (1997). Behavioral inhibition, sustained attention, and executive functions. Constructing a unifying theory of ADHD. Psychological Bulletin, 121, 65-94.
  • Barkley, R. (2000). Niños hiperactivos. Como comprender y atender sus necesidades especiales (3ª ed.). Barcelona: The Guilford Press.
  • Blanca, M. J., Zalabardo, C., Rando, B., López, D., y Luna, R. (2005). AGL Atención global-local. Madrid: TEA Ediciones.
  • Brickenkamp, R. (2004). Test de atención d2. Madrid: TEA Ediciones.
  • Canadian Attention Deficit Hyperactivity Disorder Resource Alliance [CADDRA] (2011). Canadian ADHD Practice Guidelines (3th Edition). Toronto: Autor.
  • Campbell, D. T., y Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105.
  • Casas, A. M., Andrés, M. I. F., Castellar, R. G., Miranda, B. R., y Diago, C. C. (2011). Habilidades lingüísticas y ejecutivas en el Trastorno por Déficit de Atención (TDAH) y en las Dificultades de Comprensión Lectora (DCL). Psicothema, 23(4), 688-694.
  • Castillo, M. D. (2009). La atención. Madrid: Pirámide.
  • Climent, G., y Bánterla, F. (2012). Aula Nesplora. Manual. Donostia: Nesplora ,technology & behavior.
  • Conners (2004). Conners´CPT-II. Continuos Performance Test II for Windows. Toronto: MHS.
  • Conners C. K., Eisenberg L., y Barcai A. (1967). Effect of Dextroamphetamine on ChildrenStudies on Subjects With Learning Disabilities and School Behavior Problems. Archives of General Psychiatry, 17(4), 478-485.
  • Demaray, M. K., Elting, J., y Schaefer, K. (2003). Assessment of attention-deficit/hyperactivity disorder (ADHD). A comparative evaluation of five, commonly used, published rating scales. Psychology in the Schools, 40(4), 341–361.
  • Díaz-Orueta, U., Garcia-López, C., Crespo-Eguílaz, N., Sánchez-Carpintero, R., Climent, G., y Narbona, J. (2014). AULA virtual reality test as an attention measure. Convergent validity with Conners’ Continuous Performance Test. Child Neuropsychology, 20(3), 328-342.
  • Díaz-Orueta, U., Alonso-Sánchez, B., y Climent, G. (2014). AULA versus d2 Test of Attention, Convergent validity and applicability of virtual reality in the study of reading disorders. 42nd Annual Meeting of the International Neuropsychological Society. Seattle, WA.
  • Epstein, J. N., Erkanli, A., Conners, C. K., Kleric, J., Castello, J. E., & Angold, A., (2003), Relations between Continuous Performance Test performance measures and ADHD behaviors, Journal of Abnormal Child Psychology, 31(5), 543-554
  • Frazier, T. W., Demaree, H. A., y Youngstrom, E. A. (2004). Meta-analysis of intellectual and neuropsychological test performance in attention-deficit/hyperactivity disorder. Neuropsychology, 18(3), 543-555.
  • García-Pérez; E. M., y Magaz, A. (2000) EMAV. Escalas Magallanes de Atención Visual. Manual de Referencia. Bizkaia: Grupo Albor-COHS.
  • González-Castro, P., Rodríguez, C., Cueli, M., Cabeza, L., y Álvarez, L. (2014). Competencias matemáticas y control ejecutivo en estudiantes con trastorno por déficit de atención con hiperactividad y trastornos de aprendizaje de las matemáticas. Revista de Psicodidáctica, 19(1), 125-143.
  • Gualtieri, T., y Johnson, L. G. (2005). ADHD: Is objective diagnosis possible? Psychiatry, 2(11), 44–53.
  • Iglesias-Sarmiento, V., Deaño, M., Alfonso, S., y Conde, Á. (2017). Mathematical learning disabilities and attention deficit and/or hyperactivity disorder. A study of the cognitive processes involved in arithmetic problem solving. Research in Developmental Disabilities, 61, 44-54
  • Johnson, B. (2017). Learning Disabilities in Children, Epidemiology, Risk Factors and Importance of Early Intervention. BMH Medical Journal, 4(1), 31-37.
  • Karande, S., y Kulkarni, M. (2005). Specific learning disability, the invisible handicap. Indian Pediatrics, 42(4), 315-319.
  • Labruna, V., Gallargher, R., Digiuseppi, R., y Litton, M. (1998). Impulsivity in ADHD children compared to normal and psychiatric control groups. Annual Meeting of the American Academy of Child and Adolescent Psychiatry. Anaheim, CA.
  • Lange, K. W., Hauser, J., Lange, K. M., Makulska-Gertruda, E., Takano, T., Takeuchi, Y., Tucha, L., y Tucha, O. (2014). Utility of cognitive neuropsychological assessment in attention-deficit/hyperactivity disorder. Attention deficit and hyperactivity disorders, 6(4), 241–248.
  • Lehman, E. B.; Naglieri, J. A., y Aquilino, S.A. (2010). A national study on the development of visual attention using the cognitive assessment system. Journal of Attention Disorders, 14, 15-24.
  • Lipszyc, J. y Schachar, R. (2010). Inhibitory control and psychopathology, a meta-analysis of studies using the stop signal task. Journal of the International Neuropsychological Society, 16(6), 1064-1076.
  • Lozano, J. H., Capote, E., y Fernández, M. P. (2015) Convergent validity of measures of attention and impulsivity from the trees simple visual discrimination test (divisa-uam). Anales de Psicología, 31(1), 74-83.
  • Magaz, A. (Ed.) (2011). EMAV. Escalas Magallanes de Atención Visual. Manual de Referencia Actualizado. Bizkaia: Grupo Albor-COHS.
  • Mayes, S. D., Calhoun, S. L., y Crowell, E. W. (2000). Learning disabilities and ADHD, Overlapping spectrum disorders. Journal of Learning Disabilities, 33(5), 417-424.
  • Mayes, S. D., y Calhoun, S. L. (2006). WISC-IV and WISC-III profiles in children with ADHD. Journal of Attention Disorders, 9(3), 486-493.
  • Menéndez, I., (2001), Trastorno de déficit de atención con hiperactividad, Clínica y diagnóstico. Revista psiquiátrica y Psicológica del Niño y Adolescente, 4(1), 92-102
  • Miranda, A., Roselló, B., & Soriano, M. (1998). Estudiantes con deficiencias atencionales. Valencia: Promolibro.
  • Neguț, A., Jurma, A. M., y David, D. (2017). Virtual-reality-based attention assessment of ADHD: ClinicaVR: Classroom-CPT versus a traditional continuous performance test. Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence, 23(6), 692–712.
  • Nolin, P., Stipanicic, A., Henry, M., Lachapelle, Y., Lussier-Desrochers, D., Rizzo, A. “S.”, y Allain, P. (2016). ClinicaVR: Classroom-CPT: A virtual reality tool for assessing attention and inhibition in children and adolescents. Computers in Human Behavior, 59, 327–333.
  • Posner, M. I. y Raichle, M. E. (1994). Images of mind. Scientific American Library/Scientific American Books.
  • Posner, M. I. y Rothbart, M. K. (1998). Attention, self-regulation, and consciousness. Philosophical Transactions of the Royal Society of London, 353, 1915–1927.
  • Quiroga, M. A., Santacreu, J., Montoro, A., Martínez-Molina, A., y Shih Ma, P. Ch. (2011). Evaluación Informatizada de la Atención para Niños de 7 a 11 años. El DiViSa-UAM y el TACI-UAM. Cínica y Salud, 22, 3-20.
  • Santacreu, J., Shih, P., y Quiroga, M. A. (2011). DiViSa Test de Discriminiación Visual Simple de Árboles. Manual. Madrid: TEA ediciones.
  • Santacreu, J., y Quiroga, M. A. (2015). The Divisa predictive validity by age, an objective online test of attention. The Spanish Journal of Psychology, 18(e98), 1-11.
  • Servera, M., y Llabrés, J. (2004) CSAT Tarea de atención sostenida para niños. Madrid: TEA Ediciones.
  • Servera, M. & Llabrés, J. (2015). CSAT-R. Tarea de Atención Sostenida en la Infancia-Revisada. Madrid: TEA Ediciones.
  • Servera, M., y Cardó, E. (2006). Children Sustained Attention Task (CSAT). Normative, reability and validity data. International Journal of Clinical and Heath Psychology, 6, 697-707.
  • Servera, M., y Cardo, E. (2007). ADHD Rating Scale IV en una muestra escolar española, datos normativos y consistencia interna para padres y maestros. Revista de Neurología, 45(7), 393-399.
  • Rabito-Alcón, M. F., y Correas-Lauffer, J. (2014). Guías para el tratamiento del trastorno por déficit de atención e hiperactividad. Una revisión crítica. Actas Españolas de Psiquiatría, 42, 315–324.
  • Reynolds, C. R, Lowe, P. A., Moore, J., y Riccio C. A. (1998). Sensitivity and specificity of CPT in the diagnosis of ADDH. Paper presented at the Annual Meeting of the National Academy of Neuropsychology. Washinton, DC.
  • Robertson, I. H., Ward, T., Ridgeway, V., y Nimmo-Smith, I. (1994). Test of Everyday Attention. Bury St Edmunds: Thames Valley Test Company.
  • Rodríguez, C., Areces, D., García, T., Cueli, M., y González-Castro, P. (2018). Comparison between two continuous performance tests for identifying ADHD: Traditional vs. virtual reality. International journal of clinical and health psychology, 18(3), 254–263.
  • Sayal, K., y Taylor, E. (2005). Parent ratings of school behaviour in children at risk of attention deficit/hyperactivity disorder. Acta Psychiatrica Scandinavica, 111, 460–465.
  • Thaler, N. S., Allen, D. N., McMurray, J. C., y Mayfield, J. (2010). Sensitivity of the test of memory and learning to attention and memory deficits in children with ADHD. Clinical Neuropsychologist, 24, 246-264.
  • Thaler, N. S., Bello, D. T., y Etcoff, L. M. (2012). WISC-IV Profiles Are Associated With Differences in Symptomatology and Outcome in Children With ADHD. Journal of Attention Disorders, 17(4), 291-301.
  • Thurstone, L. L. y Yela, M. (2009) Caras. Test de percepción de diferencias. Madrid: TEA ediciones.
  • Thurstone, L. L. y Yela, M. (2012) Caras-R. Test de percepción de diferencias. Madrid: TEA ediciones.
  • Touluse, E., y Pièron, H. (1998). T-P Prueba perceptiva y de Atención (4º ed.). Madrid: TEA ediciones.
  • Zulueta Fernández, A., Iriarte, Y., Díaz-Orueta, U., y Climent, G. (2013). AULA NESPLORA, Avance en la evaluación de los procesos atencionales. Estudio de la validez convergente con el Test de Percepción de Diferencias. ISEP Science, 4, 4-10.