Ciencias cognitivas de la audición: Desarrollo y datos normativos de la tarea auditiva del test Stroop

Objetivo: Este estudio desarrolló y alcanzó un claro entendimiento en una prueba auditiva de Stroop, implementable en las ciencias auditivas cognitivas. Métodos: Se desarrolló un test auditivo de Stroop y se aplicó en 178 participantes entre los 18 y los 69 años de edad. Este test auditivo de Stroop constaba dos pruebas, a saber: Stroop-tonos y Stroop-palabras. El tono de los tonos puros y de las palabras habladas (es decir, las palabras alto y bajo) tenían que ser identificadas por alto o bajo, respectivamente. Se calculó una puntuación de interferencia como medida del funcionamiento ejecutivo verbal. Se realizaron modelos de regresión para examinar el efecto de la edad, el sexo, la educación, la vigilia, la audición, así como la memoria d... Ver más

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spelling Ciencias cognitivas de la audición: Desarrollo y datos normativos de la tarea auditiva del test Stroop
Test Stroop auditivo
Artículo de revista
ciencias auditivas cognitivas
datos normativos
Objetivo: Este estudio desarrolló y alcanzó un claro entendimiento en una prueba auditiva de Stroop, implementable en las ciencias auditivas cognitivas. Métodos: Se desarrolló un test auditivo de Stroop y se aplicó en 178 participantes entre los 18 y los 69 años de edad. Este test auditivo de Stroop constaba dos pruebas, a saber: Stroop-tonos y Stroop-palabras. El tono de los tonos puros y de las palabras habladas (es decir, las palabras alto y bajo) tenían que ser identificadas por alto o bajo, respectivamente. Se calculó una puntuación de interferencia como medida del funcionamiento ejecutivo verbal. Se realizaron modelos de regresión para examinar el efecto de la edad, el sexo, la educación, la vigilia, la audición, así como la memoria de trabajo visual y verbal y la velocidad de procesamiento en todas las puntuaciones auditivas de Stroop. Se obtuvieron datos normativos por década. Resultados: Los resultados del Stroop auditivo podrían predecirse mejor por la memoria de trabajo verbal y la velocidad de procesamiento en comparación con las contrapartes visuales. Se observó una tendencia que mostraba una disminución de los resultados con el aumento de la edad. Ninguna otra variable relacionada con los participantes parecía tener una relación significativa con la prueba auditiva de Stroop. Conclusión: Este test auditivo de Stroop se consideró una buena prueba para medir el funcionamiento ejecutivo utilizando estímulos auditivos. La aplicación de esta prueba auditiva de Stroop dentro de las ciencias auditivas cognitivas contribuirá a desentrañar la perspectiva auditivo-cognitiva de la comprensión del habla.
Ciencias cognitivas de la audición: Desarrollo y datos normativos de la tarea auditiva del test Stroop
Jensen, A. R., & Rohwer Jr, W. D. (1966). The Stroop color-word test: a review. Acta psychologica, 25, 36–93. https://doi.org/10.1016/0001-6918(66)90004-7.
Menard, S. (2002). Applied logistic regression analysis (Vol. 106). Sage.
Majeres, R. L. (1997). Sex differences in phonetic processing: Speed of identification of alphabetical sequences. Perceptual Motor Skills, 85 (3_suppl), 1243–1251. https://doi.org/10.2466/pms.1997.85.3f.1243.
MacLeod, C. M. (1991). Half a century of research on the Stroop effect: an integrative review. Psychological bulletin, 109 (2), Article 163. https://doi.org/10.1037/0033-2909.109.2.163.
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., Cooper, C., Fox, N., Gitlin, L. N., Howard, R., Kales, H. C., Larson, E. B., Ritchie, K., Rockwood, K., Sampson, E. L., . . . Mukadam, N. (2017). Dementia prevention, intervention, and care. The Lancet, 390 (10113), 2673–2734. https://doi.org/10.1016/s0140-6736(17)31363-6.
Lezak, M. D., Howieson, D. B., Loring, D. W., & Fischer, J. S. (2004). Neuropsychological assessment. Oxford University Press.
Lewin, C., Wolgers, G., & Herlitz, A. (2001). Sex differences favoring women in verbal but not in visuospatial episodic memory. Neuropsychology, 15 (2), 165. https://doi.org/10.1037/0894-4105.15.2.165.
Laerd Statistics. (2015). Multiple regression using SPSS Statistics. Statistical tutorials and software guides. https://statistics.laerd.com/.
Knight, S., & Heinrich, A. (2017). Different measures of auditory and visual Stroop interference and their relationship to speech intelligibility in noise. Front Psychol, 8, Article 230. https://doi.org/10.3389/fpsyg.2017.00230.
Kronholm, E., Sallinen, M., Suutama, T., Sulkava, R., Era, P., & Partonen, T. (2009). Selfreported sleep duration and cognitive functioning in the general population. Journal of sleep research, 18 (4), 436–446. https://doi.org/10.1111/j.1365-2869.2009.00765.x.
Kemper, S., Schmalzried, R., Herman, R., Leedahl, S., & Mohankumar, D. (2009). The effects of aging and dual task demands on language production. Aging, Neuropsychology, and Cognition, 16 (3), 241–259. https://doi.org/10.1080/13825580802438868.
Klein, M., Ponds, R. W., Houx, P. J., & Jolles, J. (1997). Effect of test duration on age-related differences in Stroop interference. Journal of clinical and experimental neuropsychology, 19 (1), 77–82. https://doi.org/10.1080/01688639708403838.
Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., & Chertkow, H. (2005). The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of American Geriatric Society, 53 (4), 695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x.
Janse, E. (2012). A non-auditory measure of interference predicts distraction by competing speech in older adults. Aging, Neuropsychology, and Cognition, 19 (6), 741–758. https://doi.org/10.1080/13825585.2011.652590.
Kiessling, J., Pichora-Fuller, M. K., Gatehouse, S., Stephens, D., Arlinger, S., Chisolm, T., Davis, A. C., Erber, N. P., Hickson, L., Holmes, A., Rosenhall, U., & von Wedel, H. (2003). Candidature for and delivery of audiological services: Special needs of older people. International Journal of Audiology, 42, 92–101. https://doi.org/10.3109/14992020309074650.
Kestens, K., Degeest, S., Miatton, M., & Keppler, H. (2021). Visual and Verbal working memory and processing speed across the adult lifespan: the effect of age, sex, educational level, awakeness, and hearing sensitivity. Frontiers in Psychology, 12 (668828). https://doi.org/10.3389/fpsyg.2021.668828.
Kestens, K., Degeest, S., & Keppler, H. (2021). The Effect of Cognition on the Aided Benefit in Terms of Speech Understanding and Listening Effort Obtained With Digital Hearing Aids: A Systematic Review. American Journal of Audiology, 30, 190–210. https://doi.org/10.1044/2020_aja-20-00019.
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Most, S. B., Sorber, A. V., & Cunningham, J. G. (2007). Auditory Stroop reveals implicit sex associations in adults and children. Journal of Experimental Social Psychology, 43 (2), 287–294. https://doi.org/10.1016/j.jesp.2006.02.002.
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14
International Journal of Psychological Research
Universidad San Buenaventura - USB (Colombia)
application/pdf
application/pdf
Journal article
Núm. 2 , Año 2021 : Vol. 14 Núm. 2 (2021)
2
Normative Data
https://revistas.usb.edu.co/index.php/IJPR/article/view/5118
Cognitive Hearing Sciences
Auditory Stroop Test
Keppler, Hannah
Miatton, Marijke
Degeest, Sofie
Kestens, Katrien
Objective: This study developed and gained insight in an auditory Stroop test, implementable in cognitive hearing sciences. Methods: An auditory Stroop test was developed and performed in 178 participants, aged between 18 and 69 years. This Auditory Stroop test consisted of two tests: Stroop-tones and Stroop-words whereby the pitch of pure-tones and spoken words (i.e., the words high and low) had to be identified by high or low, respectively. An interference score was calculated as a measure of verbal executive functioning. Regression models were conducted to examine the effect of age, sex, education, awakeness, hearing, as well as visual and verbal working memory, and processing speed on the auditory Stroop scores. Normative data were obtained per age decade. Results: Compared to the visual counterparts, the auditory Stroop outcomes were better predicted by verbal working memory and processing speed. A trend was observed showing a decrease in performances with increasing age. No other participant-related variables had a significant relationship with the auditory Stroop test. Conclusion: This auditory Stroop test was considered a good test for measuring executive functioning using auditory stimuli. Implementing this auditory Stroop test within cognitive hearing sciences will contribute to unravel the auditory-cognitive perspective of speech understanding.
Grassi, M., & Borella, E. (2013). The role of auditory abilities in basic mechanisms of cognition in older adults. Frontiers in Aging Neuroscience, 5, Article 59. https://doi.org/10.3389/fnagi.2013.00059.
Publication
Baltes, P. B., & Lindenberger, U. (1997). Emergence of a powerful connection between sensory and cognitive functions across the adult life span: A new window to the study of cognitive aging? Psychological Aging, 12 (1), 12–21. https://doi.org/10.1037//0882-7974.12.1.12.
Gilbert, S. J., & Burgess, P. W. (2008). Executive function. Current biology, 18 (3), R110–R114. https://doi.org/10.1016/j.cub.2007.12.014.
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Gallacher, J., Ilubaera, V., Ben-Shlomo, Y., Bayer, A., Fish, M., Babisch, W., & Elwood, P. (2012). Auditory threshold, phonologic demand, and incident dementia. Neurology, 79 (15), 1583–159. https://doi.org/10.1212/WNL.0b013e31826e263d.
Fischer, M. E., Cruickshanks, K. J., Schubert, C. R., Pinto, A. A., Carlsson, C. M., Klein, B. E., & Tweed, T. S. (2016). Age-Related Sensory Impairments and Risk of Cognitive Impairment. J Am Geriatr Soc, 64 (10), 1981–1987. https://doi.org/10.1111/jgs.14308.
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Danneels, M., Van Hecke, R., Leyssens, S., L.and Degeest, Cambier, D., van de Berg, R., & Maes, L. (2020). 2BALANCE: a cognitive-motor dual-task protocol for individuals with vestibular dysfunction. BMJ Open, 10 (7), Article e037138. http://dx.doi.org/10.1136/bmjopen-2020-037138.
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 (6), 495–513. https://doi.org/10.1016/S0887-6177(99)00040-2.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
Baroun, K., & Alansari, B. (2006). Gender differences in performance on the Stroop Test. Social Behavior and Personality: An International Journal, 34 (3), 309–318. https://doi.org/10.2224/sbp.2006.34.3.309.
Brunetti, R., Del Gatto, C., & Delogu, F. (2014). eCorsi: implementation and testing of the Corsi blocktapping task for digital tablets. Frontiers in Psychology, 5, Article 939. https://doi.org/10.3389/fpsyg.2014.00939.
https://revistas.usb.edu.co/index.php/IJPR/article/download/5118/4375
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2011-2084
institution UNIVERSIDAD DE SAN BUENAVENTURA
thumbnail https://nuevo.metarevistas.org/UNIVERSIDADDESANBUENAVENTURA_COLOMBIA/logo.png
country_str Colombia
collection International Journal of Psychological Research
title Ciencias cognitivas de la audición: Desarrollo y datos normativos de la tarea auditiva del test Stroop
spellingShingle Ciencias cognitivas de la audición: Desarrollo y datos normativos de la tarea auditiva del test Stroop
Keppler, Hannah
Miatton, Marijke
Degeest, Sofie
Kestens, Katrien
Test Stroop auditivo
ciencias auditivas cognitivas
datos normativos
Normative Data
Cognitive Hearing Sciences
Auditory Stroop Test
title_short Ciencias cognitivas de la audición: Desarrollo y datos normativos de la tarea auditiva del test Stroop
title_full Ciencias cognitivas de la audición: Desarrollo y datos normativos de la tarea auditiva del test Stroop
title_fullStr Ciencias cognitivas de la audición: Desarrollo y datos normativos de la tarea auditiva del test Stroop
title_full_unstemmed Ciencias cognitivas de la audición: Desarrollo y datos normativos de la tarea auditiva del test Stroop
title_sort ciencias cognitivas de la audición: desarrollo y datos normativos de la tarea auditiva del test stroop
description Objetivo: Este estudio desarrolló y alcanzó un claro entendimiento en una prueba auditiva de Stroop, implementable en las ciencias auditivas cognitivas. Métodos: Se desarrolló un test auditivo de Stroop y se aplicó en 178 participantes entre los 18 y los 69 años de edad. Este test auditivo de Stroop constaba dos pruebas, a saber: Stroop-tonos y Stroop-palabras. El tono de los tonos puros y de las palabras habladas (es decir, las palabras alto y bajo) tenían que ser identificadas por alto o bajo, respectivamente. Se calculó una puntuación de interferencia como medida del funcionamiento ejecutivo verbal. Se realizaron modelos de regresión para examinar el efecto de la edad, el sexo, la educación, la vigilia, la audición, así como la memoria de trabajo visual y verbal y la velocidad de procesamiento en todas las puntuaciones auditivas de Stroop. Se obtuvieron datos normativos por década. Resultados: Los resultados del Stroop auditivo podrían predecirse mejor por la memoria de trabajo verbal y la velocidad de procesamiento en comparación con las contrapartes visuales. Se observó una tendencia que mostraba una disminución de los resultados con el aumento de la edad. Ninguna otra variable relacionada con los participantes parecía tener una relación significativa con la prueba auditiva de Stroop. Conclusión: Este test auditivo de Stroop se consideró una buena prueba para medir el funcionamiento ejecutivo utilizando estímulos auditivos. La aplicación de esta prueba auditiva de Stroop dentro de las ciencias auditivas cognitivas contribuirá a desentrañar la perspectiva auditivo-cognitiva de la comprensión del habla.
description_eng Objective: This study developed and gained insight in an auditory Stroop test, implementable in cognitive hearing sciences. Methods: An auditory Stroop test was developed and performed in 178 participants, aged between 18 and 69 years. This Auditory Stroop test consisted of two tests: Stroop-tones and Stroop-words whereby the pitch of pure-tones and spoken words (i.e., the words high and low) had to be identified by high or low, respectively. An interference score was calculated as a measure of verbal executive functioning. Regression models were conducted to examine the effect of age, sex, education, awakeness, hearing, as well as visual and verbal working memory, and processing speed on the auditory Stroop scores. Normative data were obtained per age decade. Results: Compared to the visual counterparts, the auditory Stroop outcomes were better predicted by verbal working memory and processing speed. A trend was observed showing a decrease in performances with increasing age. No other participant-related variables had a significant relationship with the auditory Stroop test. Conclusion: This auditory Stroop test was considered a good test for measuring executive functioning using auditory stimuli. Implementing this auditory Stroop test within cognitive hearing sciences will contribute to unravel the auditory-cognitive perspective of speech understanding.
author Keppler, Hannah
Miatton, Marijke
Degeest, Sofie
Kestens, Katrien
author_facet Keppler, Hannah
Miatton, Marijke
Degeest, Sofie
Kestens, Katrien
topicspa_str_mv Test Stroop auditivo
ciencias auditivas cognitivas
datos normativos
topic Test Stroop auditivo
ciencias auditivas cognitivas
datos normativos
Normative Data
Cognitive Hearing Sciences
Auditory Stroop Test
topic_facet Test Stroop auditivo
ciencias auditivas cognitivas
datos normativos
Normative Data
Cognitive Hearing Sciences
Auditory Stroop Test
citationvolume 14
citationissue 2
citationedition Núm. 2 , Año 2021 : Vol. 14 Núm. 2 (2021)
publisher Universidad San Buenaventura - USB (Colombia)
ispartofjournal International Journal of Psychological Research
source https://revistas.usb.edu.co/index.php/IJPR/article/view/5118
language Inglés
format Article
rights http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
references_eng Jensen, A. R., & Rohwer Jr, W. D. (1966). The Stroop color-word test: a review. Acta psychologica, 25, 36–93. https://doi.org/10.1016/0001-6918(66)90004-7.
Menard, S. (2002). Applied logistic regression analysis (Vol. 106). Sage.
Majeres, R. L. (1997). Sex differences in phonetic processing: Speed of identification of alphabetical sequences. Perceptual Motor Skills, 85 (3_suppl), 1243–1251. https://doi.org/10.2466/pms.1997.85.3f.1243.
MacLeod, C. M. (1991). Half a century of research on the Stroop effect: an integrative review. Psychological bulletin, 109 (2), Article 163. https://doi.org/10.1037/0033-2909.109.2.163.
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., Cooper, C., Fox, N., Gitlin, L. N., Howard, R., Kales, H. C., Larson, E. B., Ritchie, K., Rockwood, K., Sampson, E. L., . . . Mukadam, N. (2017). Dementia prevention, intervention, and care. The Lancet, 390 (10113), 2673–2734. https://doi.org/10.1016/s0140-6736(17)31363-6.
Lezak, M. D., Howieson, D. B., Loring, D. W., & Fischer, J. S. (2004). Neuropsychological assessment. Oxford University Press.
Lewin, C., Wolgers, G., & Herlitz, A. (2001). Sex differences favoring women in verbal but not in visuospatial episodic memory. Neuropsychology, 15 (2), 165. https://doi.org/10.1037/0894-4105.15.2.165.
Laerd Statistics. (2015). Multiple regression using SPSS Statistics. Statistical tutorials and software guides. https://statistics.laerd.com/.
Knight, S., & Heinrich, A. (2017). Different measures of auditory and visual Stroop interference and their relationship to speech intelligibility in noise. Front Psychol, 8, Article 230. https://doi.org/10.3389/fpsyg.2017.00230.
Kronholm, E., Sallinen, M., Suutama, T., Sulkava, R., Era, P., & Partonen, T. (2009). Selfreported sleep duration and cognitive functioning in the general population. Journal of sleep research, 18 (4), 436–446. https://doi.org/10.1111/j.1365-2869.2009.00765.x.
Kemper, S., Schmalzried, R., Herman, R., Leedahl, S., & Mohankumar, D. (2009). The effects of aging and dual task demands on language production. Aging, Neuropsychology, and Cognition, 16 (3), 241–259. https://doi.org/10.1080/13825580802438868.
Klein, M., Ponds, R. W., Houx, P. J., & Jolles, J. (1997). Effect of test duration on age-related differences in Stroop interference. Journal of clinical and experimental neuropsychology, 19 (1), 77–82. https://doi.org/10.1080/01688639708403838.
Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., & Chertkow, H. (2005). The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of American Geriatric Society, 53 (4), 695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x.
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