Time of day, time of sleep, and time on task effects on sleepiness and cognitive performance of bus drivers

2022 ◽  
Author(s):  
Maryam Maghsoudipour ◽  
Ramin Moradi ◽  
Sara Moghimi ◽  
Sonia Ancoli-Israel ◽  
Pamela N. DeYoung ◽  
...  
Keyword(s):  
Cognitive Performance ◽  
Time Of Day ◽  
Time On Task ◽  
Bus Drivers ◽  
Task Effects

scholarly journals Corrigendum to: Time of Day and Time on Task Effects on Working Memory and Sleepiness of Bus Drivers

SLEEP ◽  
2019 ◽  
Vol 42 (12) ◽  
Author(s):  
Maryam Maghsoudipour ◽  
Ramin Moradi ◽  
Mostafa Pouyakian ◽  
Mehdi Yaseri
Keyword(s):  
Working Memory ◽  
Time Of Day ◽  
Time On Task ◽  
Bus Drivers ◽  
Task Effects

scholarly journals 0632 Time of Day and Time on Task Effects on Working Memory and Sleepiness of Bus Drivers

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A252-A252
Author(s):  
Maryam Maghsoudipour ◽  
Ramin Moradi ◽  
Mostafa Pouyakian ◽  
Mehdi Yaseri ◽  
Sara Moghimi
Keyword(s):  
Working Memory ◽  
Epworth Sleepiness Scale ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Digit Span ◽  
Memory Performance ◽  
Time Of Day ◽  
Time On Task ◽  
Bus Drivers ◽  
Wechsler Adult Intelligence

Abstract Introduction Fatigue and sleepiness have direct effects on vigilance, and cognitive functions of drivers. The objective of this study was to analyze individual bus drivers' characteristics and work shift parameters and relation to the working memory performance and sleepiness. Methods This prospective study was conducted on 35 inter-city bus drivers by convenience sampling. We collected data during the time span of a 24-hour round trip by using the demographic questionnaire, Epworth Sleepiness Scale (ESS), Karolinska Sleepiness Scale (KSS), and reversed digit span memory test (part of the Wechsler-Adult Intelligence Test). A linear mixed model was used for statistic analysis. Results The mean (± SD) of Epworth Sleepiness Scale score was 6.4 (±2.7). 12.5% of drivers had excessive daytime sleepiness according to ESS results. The circadian effect of time of day on the drivers' working memories was statistically significant (P=0.001), and the working memory was minimum at 04:00 am (± 1). Additionally, the differences in sleepiness at different times of day were statistically significant (P=0.001); with the highest score at 04:00 am (± 1). Time on task and time of sleep parameters did not show a significant effect on working memory (p> 0.05). Time on task parameter affected sleepiness significantly (p=0.024). Conclusion The circadian factor was the most important predictor of cognitive performance compared to time on task (fatigue) and time of sleep. Although, time on task had a significant effect on sleepiness and sleepiness significantly decreased working memory. We conclude that optimizing the drivers' schedule is the most important intervention to optimize drivers' performance and increase road safety. Support (If Any) Not

Do time-on-task effects reveal face specificity in object cognition?

2020 ◽  
Vol 32 (4) ◽  
pp. 423-441
Author(s):  
Dominik-Borna Ćepulić ◽  
Florian Schmitz ◽  
Andrea Hildebrandt
Keyword(s):  
Time On Task ◽  
Task Effects ◽  
Object Cognition

scholarly journals Time-of-Day Could Affect Cognitive Screening Performance in Older Patients with TIA and Stroke

2017 ◽  
Vol 43 (5-6) ◽  
pp. 290-293 ◽  
Author(s):  
Sara Mazzucco ◽  
Linxin Li ◽  
Maria A. Tuna ◽  
Sarah T. Pendlebury ◽  
Rhoda Frost ◽  
...  
Keyword(s):  
Cognitive Performance ◽  
Older Patients ◽  
Time Of Day ◽  
Minor Stroke ◽  
Cognitive Screening ◽  
Repeated Testing ◽  
Cross Sectional ◽  
Ischemic Attack ◽  
The Impact ◽  
Moca Score

Background and Purpose: The impact of time-of-day on the cognitive performance of older patients with limited cognitive reserve after a transient ischemic attack (TIA) or stroke, and on short cognitive tests, such as the Montreal Cognitive Assessment (MoCA), is unknown. We retrospectively studied whether morning versus afternoon assessment might affect the classification of patients aged 70 or older as severe (SCI), mild (MCI), and no (NCI) cognitive impairment by the MoCA. Methods: Morning (12 p.m. or earlier) versus afternoon (later than 12 p.m.) proportions of SCI (MoCA score <20), MCI (MoCA score 25-20) and NCI (MoCA score ≥26) were compared in a cohort of patients aged ≥70, attending a rapid-access TIA/stroke clinic. Results: Of 278 patients, 113 (40.6%) were tested in the morning and 165 (59.4%) in the afternoon. The proportion with SCI was greater in the afternoon than in the morning (10.9 vs. 1.8%, respectively, p = 0.004), with no difference in age, education, diagnosis, disability, or vascular risk factors. Conclusions: Time-of-day appears to affect cognitive performance of older patients after they undergo TIA and minor stroke. If our cross-sectional findings are confirmed in cross-over studies with repeated testing, timing of assessments should be considered in clinical practice and in research studies.

scholarly journals Cognition in Context: Understanding the Everyday Predictors of Cognitive Performance in a New Era of Measurement (Preprint)

2019 ◽  
Author(s):  
Emma Weizenbaum ◽  
John Torous ◽  
Daniel Fulford
Keyword(s):  
Cognitive Performance ◽  
Real World ◽  
Internal State ◽  
Daily Life ◽  
Contextual Factors ◽  
Real Life ◽  
Time Of Day ◽  
Cognitive Domains ◽  
Wide Range ◽  
Mobile Assessment

BACKGROUND Research suggests that variability in attention and working memory scores, as seen across time points, may be a sensitive indicator of impairment compared with a singular score at one point in time. Given that fluctuation in cognitive performance is a meaningful metric of real-world function and trajectory, it is valuable to understand the internal state-based and environmental factors that could be driving these fluctuations in performance. OBJECTIVE In this viewpoint, we argue for the use of repeated mobile assessment as a way to better understand how context shapes moment-to-moment cognitive performance. To elucidate potential factors that give rise to intraindividual variability, we highlight existing literature that has linked both internal and external modifying variables to a number of cognitive domains. We identify ways in which these variables could be measured using mobile assessment to capture them in ecologically meaningful settings (ie, in daily life). Finally, we describe a number of studies that have already begun to use mobile assessment to measure changes in real time cognitive performance in people’s daily environments and the ways in which this burgeoning methodology may continue to advance the field. METHODS This paper describes selected literature on contextual factors that examined how experimentally induced or self-reported contextual variables (ie, affect, motivation, time of day, environmental noise, physical activity, and social activity) related to tests of cognitive performance. We also selected papers that used mobile assessment of cognition; these papers were chosen for their use of high-frequency time-series measurement of cognition using a mobile device. RESULTS Upon review of the relevant literature, it is evident that contextual factors have the potential to meaningfully impact cognitive performance when measured in laboratory and daily life environments. Although this research has shed light on the question of what gives rise to real-life variability in cognitive function (eg, affect and activity), many of the studies were limited by traditional methods of data collection (eg, involving retrospective recall). Furthermore, cognition has often been measured in one domain or in one age group, which does not allow us to extrapolate results to other cognitive domains and across the life span. On the basis of the literature reviewed, mobile assessment of cognition shows high levels of feasibility and validity and could be a useful method for capturing individual cognitive variability in real-world contexts via passive and active measures. CONCLUSIONS We propose that, through the use of mobile assessment, there is an opportunity to combine multiple sources of contextual and cognitive data. These data have the potential to provide individualized digital signatures that could improve diagnostic precision and lead to meaningful clinical outcomes in a wide range of psychiatric and neurological disorders.

scholarly journals Non-linear functional brain co-activations in short-term memory distortion tasks

2021 ◽  
Author(s):  
Anna Ceglarek ◽  
Jeremi K. Ochab ◽  
Ignacio Cifre ◽  
Magdalena Fąfrowicz ◽  
Barbara Sikora-Wachowicz ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Cognitive Performance ◽  
Linear Correlation ◽  
Short Term Memory ◽  
Time Of Day ◽  
Short Term ◽  
Term Memory ◽  
Non Linear ◽  
Linear Correlation Analysis ◽  
Linear Correlations

AbstractRecent works shed light on the neural correlates of true and false recognition and the influence of time of day on cognitive performance. The current study aimed to investigate the modulation of the false memory formation by the time of day using a non-linear correlation analysis originally designed for fMRI resting-state data. Fifty-four young and healthy participants (32 females, mean age: 24.17 y.o., SD: 3.56 y.o.) performed in MR scanner the modified Deese-Roediger-McDermott paradigm in short-term memory during one session in the morning and another in the evening. Subjects’ responses were modeled with a general linear model, which includes as a predictor the non-linear correlations of regional BOLD activity with the stimuli, separately for encoding and retrieval phases. The results show the dependence of the non-linear correlations measures with the time of day and the type of the probe. In addition, the results indicate differences in the correlations measures with hippocampal regions between positive and lure probes. Besides confirming previous results on the influence of time-of-day on cognitive performance, the study demonstrates the effectiveness of the non-linear correlation analysis method for the characterization of fMRI task paradigms.

scholarly journals Monitoring Brain State and Behavioral Performance during Repetitive Visual Stimulation

2021 ◽  
Vol 11 (23) ◽  
pp. 11544
Author(s):  
Alexander K. Kuc ◽  
Semen A. Kurkin ◽  
Vladimir A. Maksimenko ◽  
Alexander N. Pisarchik ◽  
Alexander E. Hramov
Keyword(s):  
Visual Stimulation ◽  
Brain Activity ◽  
Decision Time ◽  
Task Demands ◽  
Brain State ◽  
Time On Task ◽  
Behavioral Performance ◽  
Task Effects ◽  
Perceptual Performance ◽  
Eeg Power

We tested whether changes in prestimulus neural activity predict behavioral performance (decision time and errors) during a prolonged visual task. The task was to classify ambiguous stimuli—Necker cubes; manipulating the degree of ambiguity from low ambiguity (LA) to high ambiguity (HA) changed the task difficulty. First, we assumed that the observer’s state changes over time, which leads to a change in the prestimulus brain activity. Second, we supposed that the prestimulus state produces a different effect on behavioral performance depending on the task demands. Monitoring behavioral responses, we revealed that the observer’s decision time decreased for both LA and HA stimuli during the task performance. The number of perceptual errors lowered for HA, but not for LA stimuli. EEG analysis revealed an increase in the prestimulus 9–11 Hz EEG power with task time. Finally, we found associations between the behavioral and neural estimates. The prestimulus EEG power negatively correlated with the decision time for LA stimuli and the erroneous responses rate for HA stimuli. The obtained results confirm that monitoring prestimulus EEG power enables predicting perceptual performance on the behavioral level. The observed different time-on-task effects on the LA and HA stimuli processing may shed light on the features of ambiguous perception.

Time of day effects in cognitive performance

1976 ◽  
Author(s):  
Simon Folkard ◽  
Timothy H. Monk
Keyword(s):  
Cognitive Performance ◽  
Time Of Day

An Evaluation of Sleepiness, Performance, and Workload Among Operators During a Real-Time Reactive Telerobotic Lunar Mission Simulation

2021 ◽  
pp. 001872082110567
Author(s):  
Zachary Glaros ◽  
Robert E. Carvalho ◽  
Erin E. Flynn-Evans
Keyword(s):  
Real Time ◽  
Vigilance Task ◽  
Time Of Day ◽  
Time On Task ◽  
Performance Impact ◽  
Neurobehavioral Performance ◽  
Control Center ◽  
Task Load ◽  
Lunar Mission ◽  
Mission Simulation

Objective We assessed operator performance during a real-time reactive telerobotic lunar mission simulation to understand how daytime versus nighttime operations might affect sleepiness, performance, and workload. Background Control center operations present factors that can influence sleepiness, neurobehavioral performance, and workload. Each spaceflight mission poses unique challenges that make it difficult to predict how long operators can safely and accurately conduct operations. We aimed to evaluate the performance impact of time-on-task and time-of-day using a simulated telerobotic lunar rover to better inform staffing and scheduling needs for the upcoming Volatiles Investigating Polar Exploration Rover (VIPER) mission. Methods We studied seven trained operators in a simulated mission control environment. Operators completed two five-hour simulations in a randomized order, beginning at noon and midnight. Performance was evaluated every 25 minutes using the Karolinska Sleepiness Scale, Psychomotor Vigilance Task, and NASA Task Load Index. Results Participants rated themselves as sleepier (5.06 ± 2.28) on the midnight compared to the noon simulation (3.12 ± 1.44; p < .001). Reaction time worsened over time during the midnight simulation but did not vary between simulations. Workload was rated higher during the noon (37.93 ± 20.09) compared to the midnight simulation (32.09 ± 21.74; p = .007). Conclusion Our findings suggest that work shifts during future operations should be limited in duration to minimize sleepiness. Our findings also suggest that working during the day, when distractions are present, increases perceived workload. Further research is needed to understand how working consecutive shifts and taking breaks within a shift influence performance.

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