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

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

Sumario:

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

Guardado en:

International Journal of Psychological Research

2011-2084

2011-7922

Kestens, Katrien

Degeest, Sofie

Miatton, Marijke

Keppler, Hannah

UNIVERSIDAD DE SAN BUENAVENTURA

10.21500/20112084.5118

14

2021-10-27

37

51

Colombia

Test Stroop auditivo

ciencias auditivas cognitivas

datos normativos

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

info:eu-repo/semantics/openAccess

http://purl.org/coar/access_right/c_abf2

id metarevistapublica_unisanbuenaventura_internationaljournalofpsychologicalresearch_21_article_5118
record_format ojs
spelling Ciencias cognitivas de la audición: Desarrollo y datos normativos de la tarea auditiva del test Stroop
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 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.
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.
Kestens, Katrien
Degeest, Sofie
Miatton, Marijke
Keppler, Hannah
Auditory Stroop Test
Cognitive Hearing Sciences
Normative Data
Test Stroop auditivo
ciencias auditivas cognitivas
datos normativos
14
2
Núm. 2 , Año 2021 : Vol. 14 Núm. 2 (2021)
Artículo de revista
Journal article
2021-10-27T20:47:37Z
2021-10-27T20:47:37Z
2021-10-27
application/pdf
application/pdf
Universidad San Buenaventura - USB (Colombia)
International Journal of Psychological Research
2011-2084
2011-7922
https://revistas.usb.edu.co/index.php/IJPR/article/view/5118
10.21500/20112084.5118
https://doi.org/10.21500/20112084.5118
eng
http://creativecommons.org/licenses/by-nc-nd/4.0
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
37
51
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.
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.
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.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
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.
Deal, J. A., Betz, J., Yaffe, K., Harris, T., Purchase-Helzner, E., Satterfield, S., & Lin, F. R. (2017). Hearing Impairment and Incident Dementia and Cognitive Decline in Older Adults: The Health ABC Study. Journal of Gerontology A Biological Science Medical Science, 72 (5), 703–709. https://doi.org/10.1093/gerona/glw069.
Dryden, A., Allen, H. A., Henshaw, H., & Heinrich, A. (2017). The Association Between Cognitive Performance and Speech-in-Noise Perception for Adult Listeners: A Systematic Literature Review and Meta-Analysis. Trends Hear, 21, Article 23 31216517744675. https://doi.org/10.1177/2331216517744675.
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.
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.
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.
Golden, C. J. (1975). A group version of the Stroop Color and Word Test. Journal of personality assessment, 39 (4), 386–388. https://psycnet.apa.org/doi/10.1207/s15327752jpa3904_10.
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.
Hameleers, P. M., Van Boxtel, M. J., Hogervorst, E., Riedel, W., Houx, P., Buntinx, F., & Jolles, J. (2000). Habitual caffeine consumption and its relation to memory, attention, planning capacity and psychomotor performance across multiple age groups. Human Psychopharmacology: Clinical and Experimental, 15 (8), 573–581. https://doi.org/10.1002/hup.218.
Harrington, K. D., Lim, Y. Y., Ames, D., Hassenstab, J., Rainey-Smith, S., Robertson, J., & Maruff, P. (2017). Using Robust Normative Data to Investigate the Neuropsychology of Cognitive Aging. Archives Clinical Neuropsychology, 32 (2), 142–154. https://doi.org/doi:10.1093/arclin/acw106.
Houx, P. J., Jolles, J., & Vreeling, F. W. (1993). Stroop interference: aging effects assessed with the Stroop Color-Word Test. Experimental aging research, 19 (3), 209–224. https://doi.org/10.1080/03610739308253934.
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.
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.
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.
Kessels, R. P., van Den Berg, E., Ruis, C., & Brands, A. M. (2008). The backward span of the Corsi Block-Tapping Task and its association with the WAIS-III Digit Span. Assessment, 15 (4), 426–434. https://doi.org/10.1177/1073191108315611.
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.
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.
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.
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.
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.
Laerd Statistics. (2015). Multiple regression using SPSS Statistics. Statistical tutorials and software guides. https://statistics.laerd.com/.
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.
Lezak, M. D., Howieson, D. B., Loring, D. W., & Fischer, J. S. (2004). Neuropsychological assessment. Oxford University Press.
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.
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.
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.
Menard, S. (2002). Applied logistic regression analysis (Vol. 106). Sage.
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.
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.
Roberts, K. L., & Hall, D. A. (2008). Examining a supramodal network for conflict processing: a systematic review and novel functional magnetic resonance imaging data for related visual and auditory Stroop tasks. Journal of cognitive neuroscience, 20 (6), 1063–1078. https://doi.org/10.1162/jocn.2008.20074.
Sachdev, P. S., Blacker, D., Blazer, D. G., Ganguli, M., Jeste, D. V., Paulsen, J. S., & Petersen, R. C. (2014). Classifying neurocognitive disorders: the DSM-5 approach. Nature Reviews Neurology, 10 (11), 634. https://doi.org/10.1038/nrneurol.2014.181.
Shen, J., Sherman, M., & Souza, P. E. (2020). Test administration methods and cognitive test scores in older adults with hearing loss. Gerontology, 66 (1), 24–32. https://doi.org/10.1159/000500777.
Shor, R. E. (1975). An auditory analog of the Stroop test. Journal of General Psychology, 93, Article 281.
Snellen, H. (1873). Probebuchstaben zur bestimmung der sehschärfe. H. Peters.
Sohlberg, M. K. M., & Mateer, C. A. (2017). Cognitive Rehabilitation: An Integrative Neuropsychological Approach. Guilford Publications.
Sommers, M. S., & Danielson, S. M. (1999). Inhibitory processes and spoken word recognition in young and older adults: The interaction of lexical competition and semantic context. Psychology and aging, 14 (3), 458. https://doi.org/10.1037//0882-7974.14.3.458.
Strouwen, C., Molenaar, E. A., Keus, S. H., Münks, L., Bloem, B. R., & Nieuwboer, A. (2016). Test-retest reliability of dual-task outcome measures in people with Parkinson disease. Physical Therapy, 96 (8), 1276–1286. https://doi.org/10.2522/ptj.20150244.
Troyer, A. K., Leach, L., & Strauss, E. (2006). Aging and response inhibition: Normative data for the Victoria Stroop Test. Aging, Neuropsychology, and Cognition, 13 (1), 20–35.
Van Boxtel, M., Ten Tusscher, M., Metsemakers, J., Willems, B., & Jolles, J. (2001). Visual determinants of reduced performance on the Stroop color-word test in normal aging individuals. Journal of clinical and experimental neuropsychology, 23 (5), 620–627. https://doi.org/10.1076/jcen.23.5.620.1245.
Van der Elst, W., Van Boxtel, M. P., Van Breukelen, G. J., & Jolles, J. (2006). The Stroop color-word test: influence of age, sex, and education; and normative data for a large sample across the adult age range. Assessment, 13 (1), 62–79. https://doi.org/10.1177/1073191105283427.
Wurm, L. H., Labouvie-Vief, G., Aycock, J., Rebucal, K. A., & Koch, H. E. (2004). Performance in auditory and visual emotional Stroop tasks: a comparison of older and younger adults. Psychology and aging, 19 (3), 523. https://doi.org/10.1037/0882-7974.19.3.523.
Zahodne, L. B., Stern, Y., & Manly, J. J. (2015). Differing effects of education on cognitive decline in diverse elders with low versus high educational attainment. Neuropsychology, 29 (4), 649. http://dx.doi.org/10.1037/neu0000141.
Zekveld, A. A., van Scheepen, J., Versfeld, N. J., Kramer, S. E., & van Steenbergen, H. (2020). The Influence of Hearing Loss on Cognitive Control in an Auditory Conflict Task: Behavioral and Pupillometry Findings. Journal of Speech, Language, and Hearing Research, 63 (7), 2483–2492. https://doi.org/10.1044/2020_JSLHR-20-00107.
https://revistas.usb.edu.co/index.php/IJPR/article/download/5118/4374
https://revistas.usb.edu.co/index.php/IJPR/article/download/5118/4375
info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/version/c_970fb48d4fbd8a85
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
Text
Publication
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
Kestens, Katrien
Degeest, Sofie
Miatton, Marijke
Keppler, Hannah
Auditory Stroop Test
Cognitive Hearing Sciences
Normative Data
Test Stroop auditivo
ciencias auditivas cognitivas
datos normativos
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 Kestens, Katrien
Degeest, Sofie
Miatton, Marijke
Keppler, Hannah
author_facet Kestens, Katrien
Degeest, Sofie
Miatton, Marijke
Keppler, Hannah
topic Auditory Stroop Test
Cognitive Hearing Sciences
Normative Data
Test Stroop auditivo
ciencias auditivas cognitivas
datos normativos
topic_facet Auditory Stroop Test
Cognitive Hearing Sciences
Normative Data
Test Stroop auditivo
ciencias auditivas cognitivas
datos normativos
topicspa_str_mv Test Stroop auditivo
ciencias auditivas cognitivas
datos normativos
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 eng
format Article
rights http://creativecommons.org/licenses/by-nc-nd/4.0
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
references_eng 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.
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.
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.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
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.
Deal, J. A., Betz, J., Yaffe, K., Harris, T., Purchase-Helzner, E., Satterfield, S., & Lin, F. R. (2017). Hearing Impairment and Incident Dementia and Cognitive Decline in Older Adults: The Health ABC Study. Journal of Gerontology A Biological Science Medical Science, 72 (5), 703–709. https://doi.org/10.1093/gerona/glw069.
Dryden, A., Allen, H. A., Henshaw, H., & Heinrich, A. (2017). The Association Between Cognitive Performance and Speech-in-Noise Perception for Adult Listeners: A Systematic Literature Review and Meta-Analysis. Trends Hear, 21, Article 23 31216517744675. https://doi.org/10.1177/2331216517744675.
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.
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.
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.
Golden, C. J. (1975). A group version of the Stroop Color and Word Test. Journal of personality assessment, 39 (4), 386–388. https://psycnet.apa.org/doi/10.1207/s15327752jpa3904_10.
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.
Hameleers, P. M., Van Boxtel, M. J., Hogervorst, E., Riedel, W., Houx, P., Buntinx, F., & Jolles, J. (2000). Habitual caffeine consumption and its relation to memory, attention, planning capacity and psychomotor performance across multiple age groups. Human Psychopharmacology: Clinical and Experimental, 15 (8), 573–581. https://doi.org/10.1002/hup.218.
Harrington, K. D., Lim, Y. Y., Ames, D., Hassenstab, J., Rainey-Smith, S., Robertson, J., & Maruff, P. (2017). Using Robust Normative Data to Investigate the Neuropsychology of Cognitive Aging. Archives Clinical Neuropsychology, 32 (2), 142–154. https://doi.org/doi:10.1093/arclin/acw106.
Houx, P. J., Jolles, J., & Vreeling, F. W. (1993). Stroop interference: aging effects assessed with the Stroop Color-Word Test. Experimental aging research, 19 (3), 209–224. https://doi.org/10.1080/03610739308253934.
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.
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.
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.
Kessels, R. P., van Den Berg, E., Ruis, C., & Brands, A. M. (2008). The backward span of the Corsi Block-Tapping Task and its association with the WAIS-III Digit Span. Assessment, 15 (4), 426–434. https://doi.org/10.1177/1073191108315611.
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.
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.
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.
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.
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.
Laerd Statistics. (2015). Multiple regression using SPSS Statistics. Statistical tutorials and software guides. https://statistics.laerd.com/.
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.
Lezak, M. D., Howieson, D. B., Loring, D. W., & Fischer, J. S. (2004). Neuropsychological assessment. Oxford University Press.
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.
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.
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.
Menard, S. (2002). Applied logistic regression analysis (Vol. 106). Sage.
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.
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.
Roberts, K. L., & Hall, D. A. (2008). Examining a supramodal network for conflict processing: a systematic review and novel functional magnetic resonance imaging data for related visual and auditory Stroop tasks. Journal of cognitive neuroscience, 20 (6), 1063–1078. https://doi.org/10.1162/jocn.2008.20074.
Sachdev, P. S., Blacker, D., Blazer, D. G., Ganguli, M., Jeste, D. V., Paulsen, J. S., & Petersen, R. C. (2014). Classifying neurocognitive disorders: the DSM-5 approach. Nature Reviews Neurology, 10 (11), 634. https://doi.org/10.1038/nrneurol.2014.181.
Shen, J., Sherman, M., & Souza, P. E. (2020). Test administration methods and cognitive test scores in older adults with hearing loss. Gerontology, 66 (1), 24–32. https://doi.org/10.1159/000500777.
Shor, R. E. (1975). An auditory analog of the Stroop test. Journal of General Psychology, 93, Article 281.
Snellen, H. (1873). Probebuchstaben zur bestimmung der sehschärfe. H. Peters.
Sohlberg, M. K. M., & Mateer, C. A. (2017). Cognitive Rehabilitation: An Integrative Neuropsychological Approach. Guilford Publications.
Sommers, M. S., & Danielson, S. M. (1999). Inhibitory processes and spoken word recognition in young and older adults: The interaction of lexical competition and semantic context. Psychology and aging, 14 (3), 458. https://doi.org/10.1037//0882-7974.14.3.458.
Strouwen, C., Molenaar, E. A., Keus, S. H., Münks, L., Bloem, B. R., & Nieuwboer, A. (2016). Test-retest reliability of dual-task outcome measures in people with Parkinson disease. Physical Therapy, 96 (8), 1276–1286. https://doi.org/10.2522/ptj.20150244.
Troyer, A. K., Leach, L., & Strauss, E. (2006). Aging and response inhibition: Normative data for the Victoria Stroop Test. Aging, Neuropsychology, and Cognition, 13 (1), 20–35.
Van Boxtel, M., Ten Tusscher, M., Metsemakers, J., Willems, B., & Jolles, J. (2001). Visual determinants of reduced performance on the Stroop color-word test in normal aging individuals. Journal of clinical and experimental neuropsychology, 23 (5), 620–627. https://doi.org/10.1076/jcen.23.5.620.1245.
Van der Elst, W., Van Boxtel, M. P., Van Breukelen, G. J., & Jolles, J. (2006). The Stroop color-word test: influence of age, sex, and education; and normative data for a large sample across the adult age range. Assessment, 13 (1), 62–79. https://doi.org/10.1177/1073191105283427.
Wurm, L. H., Labouvie-Vief, G., Aycock, J., Rebucal, K. A., & Koch, H. E. (2004). Performance in auditory and visual emotional Stroop tasks: a comparison of older and younger adults. Psychology and aging, 19 (3), 523. https://doi.org/10.1037/0882-7974.19.3.523.
Zahodne, L. B., Stern, Y., & Manly, J. J. (2015). Differing effects of education on cognitive decline in diverse elders with low versus high educational attainment. Neuropsychology, 29 (4), 649. http://dx.doi.org/10.1037/neu0000141.
Zekveld, A. A., van Scheepen, J., Versfeld, N. J., Kramer, S. E., & van Steenbergen, H. (2020). The Influence of Hearing Loss on Cognitive Control in an Auditory Conflict Task: Behavioral and Pupillometry Findings. Journal of Speech, Language, and Hearing Research, 63 (7), 2483–2492. https://doi.org/10.1044/2020_JSLHR-20-00107.
type_driver info:eu-repo/semantics/article
type_coar http://purl.org/coar/resource_type/c_6501
type_version info:eu-repo/semantics/publishedVersion
type_coarversion http://purl.org/coar/version/c_970fb48d4fbd8a85
type_content Text
publishDate 2021-10-27
date_accessioned 2021-10-27T20:47:37Z
date_available 2021-10-27T20:47:37Z
url https://revistas.usb.edu.co/index.php/IJPR/article/view/5118
url_doi https://doi.org/10.21500/20112084.5118
issn 2011-2084
eissn 2011-7922
doi 10.21500/20112084.5118
citationstartpage 37
citationendpage 51
url2_str_mv https://revistas.usb.edu.co/index.php/IJPR/article/download/5118/4374
https://revistas.usb.edu.co/index.php/IJPR/article/download/5118/4375
_version_ 1811200850312298496

Código QR

Estadísticas y Métricas Alternativas

Títulos similares