scholarly journals Effects of Total and Partial Sleep Deprivation on Reflection Impulsivity and Risk-Taking in Deliberative Decision-Making

2020 ◽  
Vol Volume 12 ◽  
pp. 309-324
Author(s):  
Federico Salfi ◽  
Marco Lauriola ◽  
Daniela Tempesta ◽  
Pierpaolo Calanna ◽  
Valentina Socci ◽  
...  
Keyword(s):  
Decision Making ◽  
Sleep Deprivation ◽  
Risk Taking ◽  
Partial Sleep Deprivation ◽  
Reflection Impulsivity

scholarly journals Partial sleep deprivation impacts impulsive action but not impulsive decision-making

2016 ◽  
Vol 164 ◽  
pp. 214-219 ◽  
Author(s):  
K.E. Demos ◽  
C.N. Hart ◽  
L.H. Sweet ◽  
K.A. Mailloux ◽  
J. Trautvetter ◽  
...  
Keyword(s):  
Decision Making ◽  
Sleep Deprivation ◽  
Impulsive Action ◽  
Partial Sleep Deprivation

Healthy aging is associated with decreased risk-taking in motor decision-making.

2018 ◽  
Vol 44 (1) ◽  
pp. 154-167 ◽  
Author(s):  
Matteo Valsecchi ◽  
Jutta Billino ◽  
Karl R. Gegenfurtner
Keyword(s):  
Decision Making ◽  
Risk Taking ◽  
Healthy Aging

Protesting During a Pandemic: Narratives on Risk Taking and Motivation to Participating in the 2020 March on Washington

2021 ◽  
pp. 001112872199933
Author(s):  
Jennifer Cobbina ◽  
Ashleigh LaCourse ◽  
Erika J. Brooke ◽  
Soma Chaudhuri
Keyword(s):  
Decision Making ◽  
Risk Taking ◽  
Social Position ◽  
Structural Racism ◽  
Police Violence ◽  
Black Lives Matter ◽  
The Media ◽  
March On Washington

The study elucidates the interplay of COVID-19 and the wave of Black Lives Matter protests to assess motivation and risk taking for protest participation. We draw on protesters’ accounts to examine how police violence influenced the participants decision making to participate in the 2020 March on Washington during a pandemic that exacerbated the risks already in place from protesting the police. We found that protesters’ social position and commitment to the cause provided motivations, along with a zeal to do more especially among White protesters. For Black participants, the images in the media resonated with their own experiences of structural racism from police.

293 Predictive utility of a brief scale to identify U.S. Army Soldiers who are genetically vulnerable and resilient to sleep loss

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A117-A117
Author(s):  
Janna Mantua ◽  
Carolyn Mickelson ◽  
Jacob Naylor ◽  
Bradley Ritland ◽  
Alexxa Bessey ◽  
...  
Keyword(s):  
Decision Making ◽  
Reaction Time ◽  
Sleep Deprivation ◽  
Cognitive Performance ◽  
Response Inhibition ◽  
Sleep Loss ◽  
Cutoff Score ◽  
Cognitive Subscale ◽  
Army Soldiers ◽  
Psychomotor Vigilance

Abstract Introduction Sleep loss that is inherent to military operations can lead to cognitive errors and potential mission failure. Single Nucleotide Polymorphisms (SNPs) allele variations of several genes (COMT, ADORA2A, TNFa, CLOCK, DAT1) have been linked with inter-individual cognitive resilience to sleep loss through various mechanisms. U.S. Army Soldiers with resilience-related alleles may be better-suited to perform cognitively-arduous duties under conditions of sleep loss than those without these alleles. However, military-wide genetic screening is costly, arduous, and infeasible. This study tested whether a brief survey of subjective resilience to sleep loss (1) can demarcate soldiers with and without resilience-related alleles, and, if so, (2) can predict cognitive performance under conditions of sleep loss. Methods Six SNPs from the aforementioned genes were sequenced from 75 male U.S. Army special operations Soldiers (age 25.7±4.1). Psychomotor vigilance, response inhibition, and decision-making were tested after a night of mission-driven total sleep deprivation. The Iowa Resilience to Sleeplessness Test (iREST) Cognitive Subscale, which measures subjective cognitive resilience to sleep loss, was administered after a week of recovery sleep. A receiver operating characteristic (ROC) curve was used to determine whether the iREST Cognitive Subscale can discriminate between gene carriers, and a cutoff score was determined. Cognitive performance after sleep deprivation was compared between those below/above the cutoff score using t-tests or Mann-Whitney U tests. Results The iREST discriminated between allele variations for COMT (ROC=.65,SE=.07,p=.03), with an optimal cutoff score of 3.03 out of 5, with 90% sensitivity and 51.4% specificity. Soldiers below the cutoff score had significantly poorer for psychomotor vigilance reaction time (t=-2.39,p=.02), response inhibition errors of commission (U=155.00,W=246.00,p=.04), and decision-making reaction time (t=2.13,p=.04) than Soldiers above the cutoff score. Conclusion The iREST Cognitive Subscale can discriminate between those with and without specific vulnerability/resilience-related genotypes. If these findings are replicated, the iREST Cognitive Subscale could be used to help military leaders make decisions about proper personnel placement when sleep loss is unavoidable. This would likely result in increased safety and improved performance during military missions. Support (if any) Support for this study came from the Military Operational Medicine Research Program of the United States Army Medical Research and Development Command.

Partial sleep deprivation to prevent 48-hour mood cycles

1990 ◽  
Vol 81 (4) ◽  
pp. 398-399 ◽  
Author(s):  
C. M. Churchill ◽  
S. C. Dilsaver
Keyword(s):  
Sleep Deprivation ◽  
Partial Sleep Deprivation
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