Adaptation to shift work: physiologically based modeling of the effects of lighting and shifts' start time.

Shift work has become an integral part of our life with almost 20% of the population being involved in different shift schedules in developed countries. However, the atypical work times, especially the night shifts, are associated with reduced quality and quantity of sleep that leads to increase of...

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Autores principales:	Svetlana Postnova, Peter A Robinson, Dmitry D Postnov
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0cff4491a8964560980ae01d1d7437ee
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spelling	oai:doaj.org-article:0cff4491a8964560980ae01d1d7437ee2021-11-18T08:02:37ZAdaptation to shift work: physiologically based modeling of the effects of lighting and shifts' start time.1932-620310.1371/journal.pone.0053379https://doaj.org/article/0cff4491a8964560980ae01d1d7437ee2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23308206/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Shift work has become an integral part of our life with almost 20% of the population being involved in different shift schedules in developed countries. However, the atypical work times, especially the night shifts, are associated with reduced quality and quantity of sleep that leads to increase of sleepiness often culminating in accidents. It has been demonstrated that shift workers' sleepiness can be improved by a proper scheduling of light exposure and optimizing shifts timing. Here, an integrated physiologically-based model of sleep-wake cycles is used to predict adaptation to shift work in different light conditions and for different shift start times for a schedule of four consecutive days of work. The integrated model combines a model of the ascending arousal system in the brain that controls the sleep-wake switch and a human circadian pacemaker model. To validate the application of the integrated model and demonstrate its utility, its dynamics are adjusted to achieve a fit to published experimental results showing adaptation of night shift workers (n = 8) in conditions of either bright or regular lighting. Further, the model is used to predict the shift workers' adaptation to the same shift schedule, but for conditions not considered in the experiment. The model demonstrates that the intensity of shift light can be reduced fourfold from that used in the experiment and still produce good adaptation to night work. The model predicts that sleepiness of the workers during night shifts on a protocol with either bright or regular lighting can be significantly improved by starting the shift earlier in the night, e.g.; at 21:00 instead of 00:00. Finally, the study predicts that people of the same chronotype, i.e. with identical sleep times in normal conditions, can have drastically different responses to shift work depending on their intrinsic circadian and homeostatic parameters.Svetlana PostnovaPeter A RobinsonDmitry D PostnovPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 1, p e53379 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Svetlana Postnova Peter A Robinson Dmitry D Postnov Adaptation to shift work: physiologically based modeling of the effects of lighting and shifts' start time.
description	Shift work has become an integral part of our life with almost 20% of the population being involved in different shift schedules in developed countries. However, the atypical work times, especially the night shifts, are associated with reduced quality and quantity of sleep that leads to increase of sleepiness often culminating in accidents. It has been demonstrated that shift workers' sleepiness can be improved by a proper scheduling of light exposure and optimizing shifts timing. Here, an integrated physiologically-based model of sleep-wake cycles is used to predict adaptation to shift work in different light conditions and for different shift start times for a schedule of four consecutive days of work. The integrated model combines a model of the ascending arousal system in the brain that controls the sleep-wake switch and a human circadian pacemaker model. To validate the application of the integrated model and demonstrate its utility, its dynamics are adjusted to achieve a fit to published experimental results showing adaptation of night shift workers (n = 8) in conditions of either bright or regular lighting. Further, the model is used to predict the shift workers' adaptation to the same shift schedule, but for conditions not considered in the experiment. The model demonstrates that the intensity of shift light can be reduced fourfold from that used in the experiment and still produce good adaptation to night work. The model predicts that sleepiness of the workers during night shifts on a protocol with either bright or regular lighting can be significantly improved by starting the shift earlier in the night, e.g.; at 21:00 instead of 00:00. Finally, the study predicts that people of the same chronotype, i.e. with identical sleep times in normal conditions, can have drastically different responses to shift work depending on their intrinsic circadian and homeostatic parameters.
format	article
author	Svetlana Postnova Peter A Robinson Dmitry D Postnov
author_facet	Svetlana Postnova Peter A Robinson Dmitry D Postnov
author_sort	Svetlana Postnova
title	Adaptation to shift work: physiologically based modeling of the effects of lighting and shifts' start time.
title_short	Adaptation to shift work: physiologically based modeling of the effects of lighting and shifts' start time.
title_full	Adaptation to shift work: physiologically based modeling of the effects of lighting and shifts' start time.
title_fullStr	Adaptation to shift work: physiologically based modeling of the effects of lighting and shifts' start time.
title_full_unstemmed	Adaptation to shift work: physiologically based modeling of the effects of lighting and shifts' start time.
title_sort	adaptation to shift work: physiologically based modeling of the effects of lighting and shifts' start time.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/0cff4491a8964560980ae01d1d7437ee
work_keys_str_mv	AT svetlanapostnova adaptationtoshiftworkphysiologicallybasedmodelingoftheeffectsoflightingandshiftsstarttime AT peterarobinson adaptationtoshiftworkphysiologicallybasedmodelingoftheeffectsoflightingandshiftsstarttime AT dmitrydpostnov adaptationtoshiftworkphysiologicallybasedmodelingoftheeffectsoflightingandshiftsstarttime
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Adaptation to shift work: physiologically based modeling of the effects of lighting and shifts' start time.

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