Optimal sleep and work schedules to maximize alertness.

Sleep
Francisco G Vital-LopezJaques Reifman

Abstract

Working outside the conventional "9-to-5" shift may lead to reduced sleep and alertness impairment. Here, we developed an optimization algorithm to identify sleep and work schedules that minimize alertness impairment during work hours, while reducing impairment during non-work hours. The optimization algorithm searches among a large number of possible sleep and work schedules and estimates their effectiveness in mitigating alertness impairment using the Unified Model of Performance (UMP). To this end, the UMP, and its extensions to estimate sleep latency and sleep duration, predicts the time course of alertness of each potential schedule and their physiological feasibility. We assessed the algorithm by simulating four experimental studies, where we compared alertness levels during work periods for sleep schedules proposed by the algorithm against those used in the studies. In addition, in one of the studies we assessed the algorithm's ability to simultaneously optimize sleep and work schedules. Using the same amount of sleep as in the studies but distributing it optimally, the sleep schedules proposed by the optimization algorithm reduced alertness impairment during work periods by an average of 29%. Similarly, simultaneously o...Continue Reading

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May 29, 2018·Journal of Sleep Research·Francisco G Vital-LopezJaques Reifman
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Nov 30, 2020·Sleep·Francisco G Vital-LopezJaques Reifman

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Citations

Nov 19, 2021·Journal of Nursing Scholarship : an Official Publication of Sigma Theta Tau International Honor Society of Nursing·Ari MinTae Hee Lee

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