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The Effect of Age on Decision Making According to the Iowa Gambling Task

Published online by Cambridge University Press:  10 January 2013

Janaína Castro Núñez Carvalho ,
Caroline de Oliveira Cardoso ,
Daniela Shneider-Bakos ,
Christian Haag Kristensen  and
Rochele Paz Fonseca
Janaína Castro Núñez Carvalho
Affiliation:
Pontifícia Universidade Católica do Rio Grande do Sul (Brazil)
Caroline de Oliveira Cardoso*
Affiliation:
Pontifícia Universidade Católica do Rio Grande do Sul (Brazil)
Daniela Shneider-Bakos
Affiliation:
Universidade Luterana do Brazil (Brazil)
Christian Haag Kristensen
Affiliation:
Pontifícia Universidade Católica 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 Janaína Castro Núñez Carvalho. Carvalho Av. Cel. Gastao Haslocher Mazeron, 129, apartamento 403, Porto Alegre, RS (Brazil). CEP 90280370. Phone + 55-51-32398103. E-mail: [email protected]
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Abstract

Aging has been associated with several brain changes that often affect the cognitive functioning of adults, but changes in executive functions, particularly in the field of decision making, have not been fully investigated. The Iowa Gambling Task (IGT) is a widely used tool to evaluate decision making, but little is known about the effect of age on its results. This study used the IGT and compared healthy young (n= 40) and elderly (n = 40) adults to evaluate their decision making processes. There were significant differences in the learning curve of the two age groups, but no difference in overall IGT performance. The results for the first IGT block were different from those of the rest of the task, and the group of elderly adults had a better performance in this block. Elderly adults also showed a preference for deck A, the one that resulted in greater losses. Findings confirmed the results of other studies, which reported that the IGT block score is the variable with the greatest sensitivity to age in this instrument.

El envejecimiento se ha asociado con diversos cambios en el cerebro que a menudo afectan al funcionamiento cognitivo de los adultos, pero los cambios en las funciones ejecutivas, en particular en el ámbito de la toma de decisiones, no han sido investigados a fondo. La Iowa Gambling Task (IGT) es una herramienta ampliamente utilizada para evaluar la toma de decisiones, pero se sabe poco sobre el efecto que tiene la edad en sus resultados. Este estudio utilizó la IGT y comparó adultos jóvenes (n = 40) y adultos mayores (n = 40) sanos para evaluar sus procesos de toma decisiones. Se encontraron diferencias significativas en la curva de aprendizaje de los dos grupos de edad, pero ninguna diferencia en el rendimiento general de la IGT. Los resultados del primer bloque de la IGT fueron diferentes de los resultados de los bloques restantes, y el grupo de adultos mayores tuvo un mejor rendimiento en este primer bloque. Los adultos mayores también mostraron preferencia por la sección A, la que dio como resultado valores inferiores. Los hallazgos confirman los resultados de otros estudios, los cuales informaron que la puntuación del primer bloque de la IGT es la variable con mayor sensibilidad a la edad de este instrumento.

Keywords

decision makingIowa Gambling Taskagingexecutive functionstoma de decisionesIowa Gambling Taskenvejecimientofunciones ejecutivas
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 15 , Issue 2 , July 2012 , pp. 480 - 486
Copyright
Copyright © Cambridge University Press 2012

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References

Amaral, R., & Malbergier, A. (2004). Avaliação de instrumento de detecção de problemas relacionados ao uso do álcool (CAGE) entre trabalhadores da Prefeitura do Campus da Universidade de São Paulo (USP) [Evaluation of a screening test for alcohol-related problems (CAGE) among employees of the Campus of the University of São Paulo]. Revista Brasileira de Psiquiatria, 26, 156–163. http://dx.doi.org/10.1590/S1516-44462004000300005CrossRefGoogle Scholar
Bechara, A., & Damásio, H. (2002). Decision-making and addiction (part I): Impaired activation of somatic states in substance dependent individual when pondering decisions with negative future consequences. Neuropsychologica, 40, 1675–1689. http://dx.doi.org/10.1016/S0028-3932(02)00015-5CrossRefGoogle ScholarPubMed
Bechara, A., Damásio, H., Tranel, D., & Damásio, A. (1997). Deciding advantageously before knowing the advantageous strategy. Science, 275, 1293–1295. http://dx.doi.org/10.1126/science.275.5304.1293Google Scholar
Beck, A., Steer, R., & Brown, G. (1996). Manual for the Beck Depression Inventory-II. San Antonio, TX: Psychological Corporation.Google Scholar
Buelow, M. T., & Suhr, J. A. (2009). The construct validity of the Iowa Gambling Task. Neuropsychology Review, 19, 102–114. http://dx.doi.org/10.1007/s11065-009-9083-4Google Scholar
Brand, M., & Markowitsch, H. (2010). Aging and decision-making. A neurocognitive perspective. Gerontology, 56, 319–324. http://dx.doi.org/10.1159/000248829Google Scholar
Cardoso, C., Carvalho, J., Cotrena, C., Scheneider, D., Kristensen, C., & Fonseca, R. (2011). Estudo de Fidedignidade do instrumento neuropsicológico Iowa Gambling Task [Reliability study of the neuropsychological test Iowa Gambling Task]. Jornal Brasileiro de Psiquiatria, 59, 279–285. http://dx.doi.org/10.1590/S0047-20852010000400003Google Scholar
Cauffman, E., Shulman, E. P., Steinberg, L., Claus, E., Banich, M. T., Graham, S., & Woolard, J. (2010). Age differences in affective decision making as indexed by performance on the Iowa Gambling Task. Developmental Psychology, 46, 193–207. http://dx.doi.org/10.1037/a0016128Google Scholar
Carvalho, J. A. M., & Garcia, R. A. (2003). O envelhecimento da população brasileira: Um enfoque demográfico [The aging process in the Brazilian population: A demographic approach]. Caderno de Saúde Pública, 19, 725–733. http://dx.doi.org/10.1590/S0102-311X2003000300005CrossRefGoogle Scholar
Chaves, M., & Izquierdo, Y. (1992). Diferential diagnosis between dementia and depression: A study of efficiency increment. Acta Neurologica Scandinavia, 85, 378–382.CrossRefGoogle Scholar
Damásio, A. (1996). O erro de Descartes: Emoção, razão e o cérebro humano [Descartes' error: Emotion, reason, and the human brain]. Sao Paulo, Brazil: Companhia das Letras.Google Scholar
Denburg, N. L., Bechara, A., Cole, C., & Tranel, D. (2001). Iowa Gambling Task performance in elderly persons predicts susceptibility to the influence of mileading advertising. In Annual meeting of the Society for Neuroscience (Ed.), (pp. 27). San Diego, CA: SN.Google Scholar
Denburg, N., Recknor, E., Bechara, A., & Tranel, D. (2006). Psychophysiological anticipation of positive outcomes promotes advantageous decision-making in normal older persons. International Journal of Psychophysiology, 61, 19–25. http://dx.doi.org/10.1016/j.ijpsycho.2005.10.021Google Scholar
Denburg, N., Tranel, D., & Bechara, A. (2005). The ability to decide advantageously declines prematurely in some normal older persons. Neuropsychologia, 43, 1099–1106. http://dx.doi.org/10.1016/j.neuropsychologia.2004.09.012Google Scholar
Friedman, D., Nessler, D., & Cycowicz, Y. (2009). Development of and change in cognitive control: A comparison of children, young adults and older adults. Cognitive, Affective, & Behavioral Neuroscience, 9, 91–102. http://dx.doi.org/10.3758/CABN.9.1.91CrossRefGoogle ScholarPubMed
Friedman, D., Nessler, D., Johson, R., Ritter, W., & Bersick, M. (2007). Age related changes in Executive Function: An Event-Related Potential (ERP) investigation of task-switching. Aging, Neuropsychology & Cognition, 15, 95–118. http://dx.doi.org/10.1080/13825580701533769Google Scholar
Gilbert, S. J., & Burguess, P. W. (2008). Executive function. Current Biology, 18, 110–114. http://dx.doi.org/10.1016/j.cub.2007.12.014Google Scholar
Grieve, S., Willians, L., Paul, R., Clark, C., & Gordon, E. (2007). Cognitive aging, executive function, and fractional anisotropy: A diffusion tensor MR imaging study. American Journal of Neuroradiology, 28, 226–235.Google Scholar
Isella, V., Mapellia, C., Moriellia, N., Pelatib, O., Franceschib, M., & Appollonio, I. (2008). Age-related quantitative and qualitative changes in decision making ability. Behavioural Neurology, 19, 59–63.Google Scholar
Lamar, M., & Resnick, S. (2004). Aging and prefrontal functions: Dissociating orbitofrontal and dorsolateral abilities. Neurobiology of Aging, 25, 553–558. http://dx.doi.org/10.1016/j.neurobiolaging.2003.06.005Google Scholar
Lawrence, N., Wooderson, S., Mataix-Cols, D., David, R., Speckens, A., & Phillips, M., (2006). Decision making and set shifting impairments are associated with distinct symptom dimensions in obsessive-compulsive disorder. Neuropsychology, 20, 409–419. http://dx.doi.org/10.1037/0894-4105.20.4.409Google Scholar
Lezak, M. D., Howieson, D. B., & Loring, D. W. (2004). Memory test. In Neuropsychological Assessment (pp.414–479). New York, NY: Oxford University Press.Google Scholar
Mari, J., & Willians, P. (1986). A validity study of a psychiatric screening questionnaire (SRQ-20) in primary care in the city of São Paulo. British Journal of Psychiatry, 148, 23–26. http://dx.doi.org/10.1192/bjp.148.1.23Google Scholar
Mather, M. (2006). A review of decision making processes: Weighting the risks and benefits of aging. In Carstensen, L. L. & Hartel, C. R. (Eds). When I'm 64 (pp. 145–173). Washington, DC: The National Academies Press.Google Scholar
Malloy-Diniz, L., Leite, W., Moraes, P., Correa, H., Bechara, A., & Fuentes, D. (2008). Brazilian Portuguese version of the Iowa Gambling Task: Transcultural adaptation and discriminant validity. Revista Brasileira de Psiquiatria, 30, 144–148. http://dx.doi.org/10.1590/S1516-44462008005000009Google Scholar
Nettelbeck, T., & Rabbitt, P. (1992). Aging, cognitive performance and mental speed. Intelligence, 16, 189–205. http://dx.doi.org/10.1016/0160-2896(92)90004-BGoogle Scholar
Salthouse, T. A. (2009). When does age-related cognitive decline begin? Neurobiology of Aging, 30, 507–514. http://dx.doi.org/10.1016/j.neurobiolaging.2008.09.023Google Scholar
Schneider, D., & Parente, M. A. (2006). O desempenho de adultos jovens e idosos na Iowa Gambling Task (IGT): Um estudo sobre a tomada de decisão [Decision-making capacity of young adults and older adults as measured by the Iowa Gambling Task (IGT)]. Psicologia: Reflexão e Crítica, 19, 442–450. http://dx.doi.org/10.1590/S0102-79722006000300013Google Scholar
Schneider-Bakos, D. (2008). Iowa Gambling Task: Considerações desenvolvimentais e implicações neuropsicológicas e psicométricas [Iowa Gambling Task: Developmental considerations and psychometric andneuropsychological impliations]. (Unpublished doctoral thesis) Universidade Federal do Rio Grande do Sul, Brazil.Google Scholar
Ska, B., Fonseca, R., Scherer, L., Oliveira, C., Parente, M. A., & Joanete, Y. (2009). Mudancas no processamento cognitivo em adultos idosos: Deficits ou estrategias adaptativas [Changes of cognitive processing in older adults: Deficits or adaptive strategies]. Estudos Interdisciplinares sobre o Envelhecimento, 14, 13–24..Google Scholar
Weller, J., Lewin, I., & Bechara, A. (2010). Do individual differences in the Iowa Gambling Task predict adaptive decisions making for risky gains and losses? Journal of Clinical and Experimental Neuropsychology, 32, 141–150.http://dx.doi.org/10.1080/13803390902881926CrossRefGoogle ScholarPubMed
Woicik, P., Moeller, S., Alia-Klein, N., Maloney, T., Lukasik, T., Yelisof, O., … Goldstein, R. (2009). The neuropsychology of cocaine addiction: Recent cocaine use masks impairment. Neuropsychopharmacology, 34, 1112–1122. http://dx.doi.org/10.1038/npp.2008.60Google Scholar
Wood, S., Busemeyer, J., Koling, A., Cox, C., & Davis, H. (2005). Older adults as adaptive decision makers: Evidence from the Iowa Gambling Task. Psychology and Aging, 20, 220–225. http://dx.doi.org/10.1037/0882-7974.20.2.220Google Scholar