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Application of a Limit-Cycle Oscillator Model for Prediction of Circadian Phase in Rotating Night Shift Workers

Practical alternatives to gold-standard measures of circadian timing in shift workers are needed. We assessed the feasibility of applying a limit-cycle oscillator model of the human circadian pacemaker to estimate circadian phase in 25 nursing and medical staff in a field setting during a transition...

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Autores principales: Stone, Julia E., Aubert, Xavier L., Maass, Henning, Phillips, Andrew J. K., Magee, Michelle, Howard, Mark E., Lockley, Steven W., Rajaratnam, Shantha M. W., Sletten, Tracey L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6667480/
https://www.ncbi.nlm.nih.gov/pubmed/31363110
http://dx.doi.org/10.1038/s41598-019-47290-6
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author Stone, Julia E.
Aubert, Xavier L.
Maass, Henning
Phillips, Andrew J. K.
Magee, Michelle
Howard, Mark E.
Lockley, Steven W.
Rajaratnam, Shantha M. W.
Sletten, Tracey L.
author_facet Stone, Julia E.
Aubert, Xavier L.
Maass, Henning
Phillips, Andrew J. K.
Magee, Michelle
Howard, Mark E.
Lockley, Steven W.
Rajaratnam, Shantha M. W.
Sletten, Tracey L.
author_sort Stone, Julia E.
collection PubMed
description Practical alternatives to gold-standard measures of circadian timing in shift workers are needed. We assessed the feasibility of applying a limit-cycle oscillator model of the human circadian pacemaker to estimate circadian phase in 25 nursing and medical staff in a field setting during a transition from day/evening shifts (diurnal schedule) to 3–5 consecutive night shifts (night schedule). Ambulatory measurements of light and activity recorded with wrist actigraphs were used as inputs into the model. Model estimations were compared to urinary 6-sulphatoxymelatonin (aMT6s) acrophase measured on the diurnal schedule and last consecutive night shift. The model predicted aMT6s acrophase with an absolute mean error of 0.69 h on the diurnal schedule (SD = 0.94 h, 80% within ±1 hour), and 0.95 h on the night schedule (SD = 1.24 h, 68% within ±1 hour). The aMT6s phase shift from diurnal to night schedule was predicted to within ±1 hour in 56% of individuals. Our findings indicate the model can be generalized to a shift work setting, although prediction of inter-individual variability in circadian phase shift during night shifts was limited. This study provides the basis for further adaptation and validation of models for predicting circadian phase in rotating shift workers.
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spelling pubmed-66674802019-08-06 Application of a Limit-Cycle Oscillator Model for Prediction of Circadian Phase in Rotating Night Shift Workers Stone, Julia E. Aubert, Xavier L. Maass, Henning Phillips, Andrew J. K. Magee, Michelle Howard, Mark E. Lockley, Steven W. Rajaratnam, Shantha M. W. Sletten, Tracey L. Sci Rep Article Practical alternatives to gold-standard measures of circadian timing in shift workers are needed. We assessed the feasibility of applying a limit-cycle oscillator model of the human circadian pacemaker to estimate circadian phase in 25 nursing and medical staff in a field setting during a transition from day/evening shifts (diurnal schedule) to 3–5 consecutive night shifts (night schedule). Ambulatory measurements of light and activity recorded with wrist actigraphs were used as inputs into the model. Model estimations were compared to urinary 6-sulphatoxymelatonin (aMT6s) acrophase measured on the diurnal schedule and last consecutive night shift. The model predicted aMT6s acrophase with an absolute mean error of 0.69 h on the diurnal schedule (SD = 0.94 h, 80% within ±1 hour), and 0.95 h on the night schedule (SD = 1.24 h, 68% within ±1 hour). The aMT6s phase shift from diurnal to night schedule was predicted to within ±1 hour in 56% of individuals. Our findings indicate the model can be generalized to a shift work setting, although prediction of inter-individual variability in circadian phase shift during night shifts was limited. This study provides the basis for further adaptation and validation of models for predicting circadian phase in rotating shift workers. Nature Publishing Group UK 2019-07-30 /pmc/articles/PMC6667480/ /pubmed/31363110 http://dx.doi.org/10.1038/s41598-019-47290-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Stone, Julia E.
Aubert, Xavier L.
Maass, Henning
Phillips, Andrew J. K.
Magee, Michelle
Howard, Mark E.
Lockley, Steven W.
Rajaratnam, Shantha M. W.
Sletten, Tracey L.
Application of a Limit-Cycle Oscillator Model for Prediction of Circadian Phase in Rotating Night Shift Workers
title Application of a Limit-Cycle Oscillator Model for Prediction of Circadian Phase in Rotating Night Shift Workers
title_full Application of a Limit-Cycle Oscillator Model for Prediction of Circadian Phase in Rotating Night Shift Workers
title_fullStr Application of a Limit-Cycle Oscillator Model for Prediction of Circadian Phase in Rotating Night Shift Workers
title_full_unstemmed Application of a Limit-Cycle Oscillator Model for Prediction of Circadian Phase in Rotating Night Shift Workers
title_short Application of a Limit-Cycle Oscillator Model for Prediction of Circadian Phase in Rotating Night Shift Workers
title_sort application of a limit-cycle oscillator model for prediction of circadian phase in rotating night shift workers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6667480/
https://www.ncbi.nlm.nih.gov/pubmed/31363110
http://dx.doi.org/10.1038/s41598-019-47290-6
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