The impact of subjective cognitive decline on Iowa Gambling Task performance.

2015 ◽  
Vol 29 (6) ◽  
pp. 971-987 ◽  
Author(s):  
Colette M. Smart ◽  
Adam Krawitz
Keyword(s):  
Cognitive Decline ◽  
Task Performance ◽  
Iowa Gambling Task ◽  
Subjective Cognitive Decline ◽  
Gambling Task ◽  
The Impact

scholarly journals Iowa gambling task performance in euthymic bipolar I disorder: A meta-analysis and empirical study

2013 ◽  
Vol 150 (1) ◽  
pp. 115-122 ◽  
Author(s):  
Michael D. Edge ◽  
Sheri L. Johnson ◽  
Tommy Ng ◽  
Charles S. Carver
Keyword(s):  
Empirical Study ◽  
Task Performance ◽  
Iowa Gambling Task ◽  
Meta Analysis ◽  
Gambling Task ◽  
Bipolar I Disorder

Intelligence, but not emotional intelligence, predicts Iowa Gambling Task performance

Intelligence ◽  
2010 ◽  
Vol 38 (2) ◽  
pp. 249-254 ◽  
Author(s):  
Heath A. Demaree ◽  
Kevin J. Burns ◽  
Michael A. DeDonno
Keyword(s):  
Emotional Intelligence ◽  
Task Performance ◽  
Iowa Gambling Task ◽  
Gambling Task

Influence of Impulsivity During Decision-making in Regular Cannabis Users

2017 ◽  
Vol 41 (S1) ◽  
pp. S205-S205
Author(s):  
V. Laprevote ◽  
A.L. Devin ◽  
B. Blanc ◽  
R. Schwan
Keyword(s):  
Decision Making ◽  
Risk Taking ◽  
Iowa Gambling Task ◽  
Cannabis Use ◽  
Healthy Controls ◽  
Delay Aversion ◽  
Gambling Task ◽  
Competing Interest ◽  
The Impact

IntroductionRegular cannabis use is associated with cognitive impairments, including impaired decision making measured by the Iowa Gambling Task. The question remains whether the impulsivity measured in regular cannabis users may participate to impaired decision making. Interestingly, the Cambridge Gambling Task (CGT) is a computerized gambling task allows to differentiate risk taking and impulsivity when making a decision.AimsThis study aims at separately exploring the impact of regular cannabis use on risk taking and impulsivity during decision making process.ObjectivesTo do so, we compared the performance of regular cannabis users and healthy controls during the CGT.MethodsForty-three regular cannabis users (> 7 units/week) with a cannabis use disorder (CUD), 8 non-CUD regular cannabis users and 30 healthy controls were recruited. Decision-making was assessed using the CGT. The following outcomes were considered: Delay aversion score, Overall proportion bet, quality of decision making, risk taking and risk adjustment.ResultsThe analysis on delay aversion score showed a group effect (F = 3.839, P = 0.026) but no effect on other CGT variables. This effect was explained by the fact that cannabis CUD users had a higher delay aversion score than healthy controls and non-CUD cannabis users.ConclusionsIn this study, CUD cannabis users had an increased impulsivity but no increase of risk taking and quality of decision-making. Future work should include the CGT with a clinical scale to evaluate impulsivity and a motor inhibition task to understand if the impairment observed relates to cognitive or motor abilities.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals The Interrelationship Between Subjective Health, Cognitive Decline, and Late Life Disability: A Path Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 301-301
Author(s):  
Sarah Hubner ◽  
Hyeon Jung Kim ◽  
Brenda Nguyen ◽  
Brooke Hansen ◽  
Julie Blaskewicz Boron
Keyword(s):  
Physical Health ◽  
Cognitive Decline ◽  
Path Analysis ◽  
Subjective Health ◽  
Subjective Cognitive Decline ◽  
Behavioral Risk ◽  
Cognitive Health ◽  
Behavioral Risk Factor Surveillance ◽  
Path Analyses ◽  
The Impact

Abstract Relationships between mental, physical and cognitive health can differentially impact individuals’ ability to function in everyday life. As people age, this can further influence independence and quality of life. To better understand these relationships, the current study implemented path analysis to investigate the impact of subjective mental, physical, and cognitive health on disability. Analyses explored relationships between demographic variables, subjective mental and physical health, cognitive decline, and self-reported disability (difficulty Walking/Climbing stairs [WC], Dressing/Bathing [DB], and Doing Errands [EA]). Data from the Behavioral Risk Factor Surveillance System were examined. The most recent four waves (2015-2018) of available data from states utilizing the Cognitive Decline Module were included (50 states, two territories). Path analyses were conducted and modeled in AMOS. Measures of CFI (0.986), TLI (0.938), and RMSEA (0.046) indicate good model fit. Listwise deletion was utilized (n=212117) . Respondents were aged 45+ and were generally white (82.8%), female (58.7%), and of “good/very good” subjective general health (64.0%). Results revealed being non-white (WCΣβ=0.028, DBΣβ=0.021, EAΣβ=0.025, all p’s<.001), of older age (WCΣβ=0.124, DBΣβ=0.004, EAΣβ=0.001, all p’s<.001), female (WCΣβ=0.016, DBΣβ=0.013, EAΣβ=0.016, all p’s<.001), poorer mental health (WCΣβ=0.080, DBΣβ=0.082, EAΣβ=0.116, all p’s<.001), poorer physical health (WCΣβ=0.410, DBΣβ=0.294, EAΣβ=0.314, all p’s<.001), and presence of subjective cognitive decline (WCΣβ=0.107, DBΣβ=0.107, EAΣβ=0.138, all p’s<.001) all had a positive total effect on disability. Ultimately, these results indicate the interrelationship between subjective health and self-reported ability/disability. These findings may help to improve care considerations for an aging population by serving as indicators for needs for assistance and support.

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