Sex moderates the effects of total sleep deprivation and sleep restriction on risk preference

Sleep restriction alters the integration of multiple information sources in probabilistic decision-making

The detrimental effects of sleep loss on overall decision-making have been well described. Due to the complex nature of decisions, there remains a need for studies to identify specific mechanisms of decision-making vulnerable to sleep loss. Bayesian perspectives of decision-making posit judgement formation during decision-making occurs via a process of integrating knowledge gleaned from past experiences (priors) with new information from current observations (likelihoods). We investigated the effects of sleep loss on the ability to integrate multiple sources of information during decision-making by reporting results from two experiments: the first implementing both sleep restriction (SR) and total sleep deprivation (TSD) protocols, and the second implementing an SR protocol. In both experiments, participants were administered the Bayes Decisions Task on which optimal performance requires the integration of Bayesian prior and likelihood information. Participants in Experiment 1 showed reduced reliance on both information sources after SR, while no significant change was observed after TSD. Participants in Experiment 2 showed reduced reliance on likelihood after SR, especially during morning testing sessions. No accuracy-related impairments resulting from SR and TSD were observed in both experiments. Our findings show SR affects decision-making through altering the way individuals integrate available sources of information. Additionally, the ability to integrate information during SR may be influenced by time of day. Broadly, our findings carry implications for working professionals who are required to make high-stakes decisions on the job, yet consistently receive insufficient sleep due to work schedule demands.

Intertemporal Decision-making and Risk Decision-making Among Habitual Nappers Under Nap Sleep Restriction: A Study from ERP and Time-frequency

Sleep restriction affects people's decision-making behavior. Nap restriction is a vital subtopic within sleep restriction research. In this study, we used EEG to investigate the impact of nap sleep restriction on intertemporal decision-making (Study 1) and decision-making across risky outcomes (Study 2) from ERP and time-frequency perspectives. Study 1 found that habitual nappers restricting their naps felt more inclined to choose immediate, small rewards over delayed, large rewards in an intertemporal decision-making task. P200s, P300s, and LPP in our nap-restriction group were significantly higher than those in the normal nap group. Time-frequency results showed that the delta band (1 ~ 4 Hz) power of the restricted nap group was significantly higher than that of the normal nap group. In Study 2, the nap-restriction group was more likely to choose risky options. P200s, N2s, and P300s in the nap deprivation group were significantly higher than in the normal nap group. Time-frequency results also found that the beta band (11 ~ 15 Hz) power of the restricted nap group was significantly lower than that of the normal nap group. The habitual nappers became more impulsive after nap restriction and evinced altered perceptions of time. The time cost of the LL (larger-later) option was perceived to be too high when making intertemporal decisions, and their expectation of reward heightened when making risky decisions-believing that they had a higher probability of receiving a reward. This study provided electrophysiological evidence for the dynamic processing of intertemporal decision-making, risky decision-making, and the characteristics of nerve concussions for habitual nappers.

Sleepiness Moderates the Associations between Personality and Financial Risk Tolerance and Spending Habits among College Students

OBJECTIVES

Personality and sleep characteristics are related to financial attitudes and behaviors. However, to our knowledge no study has examined how personality and sleep may be conjointly associated with these financial outcomes. The present study examined sleepiness as a moderator of the associations between college students' personality traits and financial risk tolerance and spending habits.

METHODS

Undergraduates (N = 177, 77% women, 78% White) self-reported their personality traits and sleepiness using well-established questionnaires. Financial attitudes and behaviors were assessed via students' self-reported responses to a set of scenarios assessing risk tolerance as well as their spending habits over the prior two weeks.

RESULTS

Multiple regression analyses were run. Across five significant two-way interactions, high levels of sleepiness exacerbated risk for greater financial risk tolerance and higher spending among those characterized by high open-mindedness and low neuroticism, whereas low sleepiness increased protection for lower risk tolerance and less spending among those high in agreeableness and conscientiousness.

CONCLUSIONS

Sleepiness may act as both a vulnerability and protective factor in relations between personality and financial attitudes and behaviors. Improvements in sleepiness, which is modifiable via intervention, may have significant implications for individuals' financial well-being.