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Associations between Sleep Quality and Heart Rate Variability; Implications for a Biological Model of Stress Detection Using Wearable Technology

Introduction: The autonomic nervous system plays a vital role in the modulation of many vital bodily functions, one of which is sleep and wakefulness. Many studies have investigated the link between autonomic dysfunction and sleep cycles; however, few studies have investigated the links between shor...

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Autores principales: Chalmers, Taryn, Hickey, Blake A., Newton, Philip, Lin, Chin-Teng, Sibbritt, David, McLachlan, Craig S., Clifton-Bligh, Roderick, Morley, John W., Lal, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103972/
https://www.ncbi.nlm.nih.gov/pubmed/35565165
http://dx.doi.org/10.3390/ijerph19095770
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author Chalmers, Taryn
Hickey, Blake A.
Newton, Philip
Lin, Chin-Teng
Sibbritt, David
McLachlan, Craig S.
Clifton-Bligh, Roderick
Morley, John W.
Lal, Sara
author_facet Chalmers, Taryn
Hickey, Blake A.
Newton, Philip
Lin, Chin-Teng
Sibbritt, David
McLachlan, Craig S.
Clifton-Bligh, Roderick
Morley, John W.
Lal, Sara
author_sort Chalmers, Taryn
collection PubMed
description Introduction: The autonomic nervous system plays a vital role in the modulation of many vital bodily functions, one of which is sleep and wakefulness. Many studies have investigated the link between autonomic dysfunction and sleep cycles; however, few studies have investigated the links between short-term sleep health, as determined by the Pittsburgh Quality of Sleep Index (PSQI), such as subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction, and autonomic functioning in healthy individuals. Aim: In this cross-sectional study, the aim was to investigate the links between short-term sleep quality and duration, and heart rate variability in 60 healthy individuals, in order to provide useful information about the effects of stress and sleep on heart rate variability (HRV) indices, which in turn could be integrated into biological models for wearable devices. Methods: Sleep parameters were collected from participants on commencement of the study, and HRV was derived using an electrocardiogram (ECG) during a resting and stress task (Trier Stress Test). Result: Low-frequency to high-frequency (LF:HF) ratio was significantly higher during the stress task than during the baseline resting phase, and very-low-frequency and high-frequency HRV were inversely related to impaired sleep during stress tasks. Conclusion: Given the ubiquitous nature of wearable technologies for monitoring health states, in particular HRV, it is important to consider the impacts of sleep states when using these technologies to interpret data. Very-low-frequency HRV during the stress task was found to be inversely related to three negative sleep indices: sleep quality, daytime dysfunction, and global sleep score.
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spelling pubmed-91039722022-05-14 Associations between Sleep Quality and Heart Rate Variability; Implications for a Biological Model of Stress Detection Using Wearable Technology Chalmers, Taryn Hickey, Blake A. Newton, Philip Lin, Chin-Teng Sibbritt, David McLachlan, Craig S. Clifton-Bligh, Roderick Morley, John W. Lal, Sara Int J Environ Res Public Health Article Introduction: The autonomic nervous system plays a vital role in the modulation of many vital bodily functions, one of which is sleep and wakefulness. Many studies have investigated the link between autonomic dysfunction and sleep cycles; however, few studies have investigated the links between short-term sleep health, as determined by the Pittsburgh Quality of Sleep Index (PSQI), such as subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction, and autonomic functioning in healthy individuals. Aim: In this cross-sectional study, the aim was to investigate the links between short-term sleep quality and duration, and heart rate variability in 60 healthy individuals, in order to provide useful information about the effects of stress and sleep on heart rate variability (HRV) indices, which in turn could be integrated into biological models for wearable devices. Methods: Sleep parameters were collected from participants on commencement of the study, and HRV was derived using an electrocardiogram (ECG) during a resting and stress task (Trier Stress Test). Result: Low-frequency to high-frequency (LF:HF) ratio was significantly higher during the stress task than during the baseline resting phase, and very-low-frequency and high-frequency HRV were inversely related to impaired sleep during stress tasks. Conclusion: Given the ubiquitous nature of wearable technologies for monitoring health states, in particular HRV, it is important to consider the impacts of sleep states when using these technologies to interpret data. Very-low-frequency HRV during the stress task was found to be inversely related to three negative sleep indices: sleep quality, daytime dysfunction, and global sleep score. MDPI 2022-05-09 /pmc/articles/PMC9103972/ /pubmed/35565165 http://dx.doi.org/10.3390/ijerph19095770 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chalmers, Taryn
Hickey, Blake A.
Newton, Philip
Lin, Chin-Teng
Sibbritt, David
McLachlan, Craig S.
Clifton-Bligh, Roderick
Morley, John W.
Lal, Sara
Associations between Sleep Quality and Heart Rate Variability; Implications for a Biological Model of Stress Detection Using Wearable Technology
title Associations between Sleep Quality and Heart Rate Variability; Implications for a Biological Model of Stress Detection Using Wearable Technology
title_full Associations between Sleep Quality and Heart Rate Variability; Implications for a Biological Model of Stress Detection Using Wearable Technology
title_fullStr Associations between Sleep Quality and Heart Rate Variability; Implications for a Biological Model of Stress Detection Using Wearable Technology
title_full_unstemmed Associations between Sleep Quality and Heart Rate Variability; Implications for a Biological Model of Stress Detection Using Wearable Technology
title_short Associations between Sleep Quality and Heart Rate Variability; Implications for a Biological Model of Stress Detection Using Wearable Technology
title_sort associations between sleep quality and heart rate variability; implications for a biological model of stress detection using wearable technology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103972/
https://www.ncbi.nlm.nih.gov/pubmed/35565165
http://dx.doi.org/10.3390/ijerph19095770
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