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

Chalmers, T; Hickey, BA; Newton, P; Lin, C-T; Sibbritt, D; McLachlan, CS; Clifton-Bligh, R; Morley, JW; Lal, S

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

Chalmers, T

Hickey, BA Newton, P

Lin, C-T Sibbritt, D

McLachlan, CS Clifton-Bligh, R Morley, JW Lal, S

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: International Journal of Environmental Research and Public Health, 2022, 19, (9), pp. 1-10
Issue Date:: 2022-05-09

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Field	Value	Language
dc.contributor.author	Chalmers, T https://orcid.org/0000-0002-5943-5135
dc.contributor.author	Hickey, BA
dc.contributor.author	Newton, P https://orcid.org/0000-0002-5006-2037
dc.contributor.author	Lin, C-T
dc.contributor.author	Sibbritt, D https://orcid.org/0000-0003-3561-9447
dc.contributor.author	McLachlan, CS
dc.contributor.author	Clifton-Bligh, R
dc.contributor.author	Morley, JW
dc.contributor.author	Lal, S https://orcid.org/0000-0002-0911-0850
dc.date.accessioned	2022-10-25T02:29:39Z
dc.date.available	2022-05-06
dc.date.available	2022-10-25T02:29:39Z
dc.date.issued	2022-05-09
dc.identifier.citation	International Journal of Environmental Research and Public Health, 2022, 19, (9), pp. 1-10
dc.identifier.issn	1660-4601
dc.identifier.issn	1660-4601
dc.identifier.uri	http://hdl.handle.net/10453/162667
dc.description.abstract	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.
dc.format	Electronic
dc.language	eng
dc.publisher	MDPI AG
dc.relation.ispartof	International Journal of Environmental Research and Public Health
dc.relation.isbasedon	10.3390/ijerph19095770
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Toxicology
dc.subject.mesh	Cross-Sectional Studies
dc.subject.mesh	Heart Rate
dc.subject.mesh	Humans
dc.subject.mesh	Models, Biological
dc.subject.mesh	Sleep
dc.subject.mesh	Sleep Quality
dc.subject.mesh	Sleep Wake Disorders
dc.subject.mesh	Wearable Electronic Devices
dc.subject.mesh	Cross-Sectional Studies
dc.subject.mesh	Heart Rate
dc.subject.mesh	Humans
dc.subject.mesh	Models, Biological
dc.subject.mesh	Sleep
dc.subject.mesh	Sleep Quality
dc.subject.mesh	Sleep Wake Disorders
dc.subject.mesh	Wearable Electronic Devices
dc.subject.mesh	Humans
dc.subject.mesh	Cross-Sectional Studies
dc.subject.mesh	Sleep
dc.subject.mesh	Heart Rate
dc.subject.mesh	Models, Biological
dc.subject.mesh	Sleep Wake Disorders
dc.subject.mesh	Wearable Electronic Devices
dc.subject.mesh	Sleep Quality
dc.title	Associations between Sleep Quality and Heart Rate Variability: Implications for a Biological Model of Stress Detection Using Wearable Technology.
dc.type	Journal Article
utslib.citation.volume	19
utslib.location.activity	Switzerland
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/IMPACCT
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Centre for Health Technologies (CHT)
pubs.organisational-group	/University of Technology Sydney/Strength - ARCCIM - Australian Research Centre in Complementary & Integrative Medicine
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-10-25T02:29:34Z
pubs.issue	9
pubs.publication-status	Published
pubs.volume	19
utslib.citation.issue	9

Abstract:

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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http://hdl.handle.net/10453/162667