Lunar habitation and exploration of space beyond low-Earth orbit will require small crews to live in isolation and confinement while maintaining a high level of performance with limited support from mission control. Astronauts only achieve approximately 6 h of sleep per night, but few studies have linked sleep deficiency in space to performance impairment. We studied crewmembers over 45 days during a simulated space mission that included 5 h of sleep opportunity on weekdays and 8 h of sleep on weekends to characterize changes in performance on the psychomotor vigilance task (PVT) and subjective fatigue ratings. We further evaluated how well bio-mathematical models designed to predict performance changes due to sleep loss compared to objective performance. We studied 20 individuals during five missions and found that objective performance, but not subjective fatigue, declined from the beginning to the end of the mission. We found that bio-mathematical models were able to predict average changes across the mission but were less sensitive at predicting individual-level performance. Our findings suggest that sleep should be prioritized in lunar crews to minimize the potential for performance errors. Bio-mathematical models may be useful for aiding crews in schedule design but not for individual-level fitness-for-duty decisions.
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http://dx.doi.org/10.1038/s41598-020-71929-4 | DOI Listing |
Clin Microbiol Infect
November 2024
The Bio-statistical and Bio-mathematical Unit, The Gertner Institute for Epidemiology and Health Policy, Tel Hashomer, Israel; Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Objectives: To assess whether measles infection has an impact on the rate of non-measles infectious diseases over an extended period.
Methods: This retrospective matched cohort study included 532 measles-diagnosed patients who were exactly matched with 2128 individuals without a previous measles diagnosis. Adjusted OR for any all-cause infectious diagnosis and any viral infection diagnosis ≤2 years after measles diagnosis between the measles and control groups was obtained from a conditional logistic regression model.
Med J Armed Forces India
August 2022
SMO, 47 Wing, Medical Department, Air Force Station, Thanjavur SMC, Thanjavur, Tamilnadu, India.
Background: There are many subjective and objective tools to detect, assess, and quantify fatigue. This study is a novice attempt to assess the occupational fatigue among the aviation personnel employing a computerized work-rest schedule tool integrated with actigraphy.
Methods: Thirty-eight aviation personnel were assessed for their sleep by using an actigraphy device.
Med J Armed Forces India
December 2023
Scientist 'E' & Psychologist, IAM, IAF, Bengaluru, India.
Background: Fatigue Avoidance Scheduling Tool (FAST) is a computerized fatigue prevention tool, which was developed based on a Bio-mathematical model called SAPTE (Sleep, Activity, Performance and Task Effectiveness). Similarly, actigraphy technology is used as a tool for sleep evaluation. This study was an attempt to assess the employability of FAST (both independently and integrated with actigraphy) for detecting operational fatigue by determining the 'Measures for diagnostic accuracy'.
View Article and Find Full Text PDFYale J Biol Med
March 2023
Bio Mathematical Lab, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.
Sickle cell disease (SCD) is an inherited monogenic disease which is characterized by distorted red blood cells (RBCs) that cause vaso-occlusion and vasculopathy. In the pathogenesis of SCD, polymerized hemoglobin turn RBCs into fragile, less deformable cells, and are subsequently more susceptible to endothelial adhesion after deoxygenation. Presently, electrophoresis and genotyping are used as routine tests for diagnosis of SCD.
View Article and Find Full Text PDFTranspl Int
March 2023
Department of Nephrology and Hypertension, Laniado Hospital, Netanya, Israel.
Data about in-hospital AKI in RTRs is lacking. We conducted a retrospective study of 292 RTRs, with 807 hospital admissions, to reveal predictors and outcomes of AKI during admission. In-hospital AKI developed in 149 patients (51%).
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