Skip to main content
×
Home
    • Aa
    • Aa
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 92
  • Cited by
    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Folts, Evgenia Denburg, Natalie L. and Moreno, Georgina 2016. Encyclopedia of Geropsychology.


    Heo, Wookjae Grable, John E. and O’Neill, Barbara 2016. Wealth Accumulation Inequality: Does Investment Risk Tolerance and Equity Ownership Drive Wealth Accumulation?. Social Indicators Research,


    Horch, Jenny D. Carr, Eloise C.J. Harasym, Patricia Burnett, Lindsay Biernaskie, Jeff and Gabriel, Vincent 2016. Firefighter willingness to participate in a stem cell clinical trial for burns: A mixed methods study. Burns,


    Koscielniak, Maciej Rydzewska, Klara and Sedek, Grzegorz 2016. Effects of Age and Initial Risk Perception on Balloon Analog Risk Task: The Mediating Role of Processing Speed and Need for Cognitive Closure. Frontiers in Psychology, Vol. 7,


    Laufs, Katharina Bembom, Michael and Schwens, Christian 2016. CEO characteristics and SME foreign market entry mode choice. International Marketing Review, Vol. 33, Issue. 2, p. 246.


    Rigoli, Francesco Rutledge, Robb B Chew, Benjamin Ousdal, Olga T Dayan, Peter and Dolan, Raymond J 2016. Dopamine Increases a Value-Independent Gambling Propensity. Neuropsychopharmacology,


    Rutledge, Robb B. Smittenaar, Peter Zeidman, Peter Brown, Harriet R. Adams, Rick A. Lindenberger, Ulman Dayan, Peter and Dolan, Raymond J. 2016. Risk Taking for Potential Reward Decreases across the Lifespan. Current Biology, Vol. 26, Issue. 12, p. 1634.


    Studer, Bettina Scheibehenne, Benjamin and Clark, Luke 2016. Psychophysiological arousal and inter- and intraindividual differences in risk-sensitive decision making. Psychophysiology, Vol. 53, Issue. 6, p. 940.


    Bjork, James M. and Pardini, Dustin A. 2015. Who are those “risk-taking adolescents”? Individual differences in developmental neuroimaging research. Developmental Cognitive Neuroscience, Vol. 11, p. 56.


    Byrne, Kaileigh A. and Worthy, Darrell A. 2015. Gender differences in reward sensitivity and information processing during decision-making. Journal of Risk and Uncertainty, Vol. 50, Issue. 1, p. 55.


    Cassidy, Brittany S. and Gutchess, Angela H. 2015. Age Effects in Adaptive Criterion Learning. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, p. gbv039.


    Dungey, Mardi Doko Tchatoka, Firmin Wells, Graeme and Yanotti, María B. 2015. Mortgage Choice Determinants: The Role of Risk and Bank Regulation. Economic Record, Vol. 91, Issue. 295, p. 417.


    Fujihara, Kazuyuki Narita, Kosuke Suzuki, Yusuke Takei, Yuichi Suda, Masashi Tagawa, Minami Ujita, Koichi Sakai, Yuki Narumoto, Jin Near, Jamie and Fukuda, Masato 2015. Relationship of γ-aminobutyric acid and glutamate+glutamine concentrations in the perigenual anterior cingulate cortex with performance of Cambridge Gambling Task. NeuroImage, Vol. 109, p. 102.


    Gilbertson, Ken and Ewert, Alan 2015. Stability of motivations and risk attractiveness: The adventure recreation experience. Risk Management, Vol. 17, Issue. 4, p. 276.


    Hess, Thomas M. 2015. Aging and Decision Making.


    Kurnianingsih, Yoanna A. Sim, Sam K. Y. Chee, Michael W. L. and Mullette-Gillman, O’Dhaniel A. 2015. Aging and loss decision making: increased risk aversion and decreased use of maximizing information, with correlated rationality and value maximization. Frontiers in Human Neuroscience, Vol. 9,


    Olusegun, Oladeinde 2015. Management and labour relations in a context of competitive work environment: Evaluating the process of interests mediation in an oil refinery, Nigeria. African Journal of Business Management, Vol. 9, Issue. 8, p. 369.


    Peacock, Amy Droste, Nicolas Pennay, Amy Miller, Peter Lubman, Dan I. and Bruno, Raimondo 2015. Typology of Alcohol Mixed with Energy Drink Consumers: Motivations for Use. Alcoholism: Clinical and Experimental Research, Vol. 39, Issue. 6, p. 1083.


    Pollak, Yehuda and Shoham, Rachel 2015. Feedback May Harm: Role of Feedback in Probabilistic Decision Making of Adolescents with ADHD. Journal of Abnormal Child Psychology, Vol. 43, Issue. 7, p. 1233.


    Schiebener, Johannes and Brand, Matthias 2015. Decision Making Under Objective Risk Conditions–a Review of Cognitive and Emotional Correlates, Strategies, Feedback Processing, and External Influences. Neuropsychology Review, Vol. 25, Issue. 2, p. 171.


    ×
  • Journal of the International Neuropsychological Society, Volume 10, Issue 4
  • July 2004, pp. 590-598

Risk taking during decision-making in normal volunteers changes with age

  • JULIA DEAKIN (a1), MICHAEL AITKEN (a2), TREVOR ROBBINS (a2) and BARBARA J. SAHAKIAN (a1)
  • DOI: http://dx.doi.org/10.1017/S1355617704104104
  • Published online: 01 July 2004
Abstract

Risk taking in a large cohort of adults (N = 177; ages 17–73) decreased with age, demonstrated by performance on a computer based gambling task, which has previously been shown to be sensitive to certain pharmacological manipulations including tryptophan depletion, lesions of the orbitofrontal cortex and neuropsychiatric disorders such as mania. Aging was also associated with longer deliberation times, poorer decision making, reduced risk taking, but no significant change in delay aversion. Subjects with a higher (NART-estimated) IQ were faster to make decisions and showed a greater modulation of risk-taking. Both sexes showed similar patterns of decision making, although male participants exhibited a greater modulation of risk-taking in response to the probability of winning. The Decision-Gamble task provides a variety of behavioral measures, corresponding to different aspects of impulsivity. Factor analysis of these measures suggested that two independent traits underlies performance on the task in normal individuals: one associated with risk tolerance, and a second associated with delay aversion. Age was related to decreases in the risk tolerance factor, but unrelated to the delay aversion; neither factor was significantly related to verbal IQ. This study thus provides support for the concept that impulsivity can be fractionated into 2 or more components. (JINS, 2004, 10, 590–598.)

Copyright
Corresponding author
Reprint requests to: Prof. Barbara J. Sahakian, University of Cambridge, School of Clinical Medicine, Department of Psychiatry, Box 189, Addenbrooke's Hospital, Cambridge, CB2 2QQ, UK. E-mail: jenny.hall@addenbrookes.nhs.uk
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Journal of the International Neuropsychological Society
  • ISSN: 1355-6177
  • EISSN: 1469-7661
  • URL: /core/journals/journal-of-the-international-neuropsychological-society
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords: