Evidence map›Paper›PMID 35565165›Full record

ArticleInternational journal of environmental research and public health2022

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

Taryn Chalmers, Blake A Hickey, Philip Newton, Chin-Teng Lin, David Sibbritt, Craig S McLachlan, Roderick Clifton-Bligh, John W Morley, Sara Lal

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 29 citations in OpenAlex.

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  3. New insights and predictability from in vivo recordings of paroxysmal sympathetic hyperactivity in disorders of consciousness.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Taryn ChalmersNeuroscience Research Unit, School of Life Sciences, University of Technology Sydney, Broadway, Sydney, NSW 2007, Australia.
Blake A HickeyNeuroscience Research Unit, School of Life Sciences, University of Technology Sydney, Broadway, Sydney, NSW 2007, Australia.ORCID 0000-0003-3502-5067
Philip NewtonSchool of Nursing and Midwifery, Western Sydney University, Penrith, NSW 2747, Australia.
Chin-Teng LinAustralian AI Institute, University of Technology Sydney, Broadway, Sydney, NSW 2007, Australia.
David SibbrittSchool of Public Health, University of Technology Sydney, Broadway, Sydney, NSW 2007, Australia.
Craig S McLachlanCentre for Healthy Futures, Torrens University, Sydney, NSW 2009, Australia.
Roderick Clifton-BlighKolling Institute for Medical Research, Royal North Shore Hospital, St Leonards, NSW 2064, Australia.
John W MorleySchool of Medicine, Western Sydney University, Penrith, NSW 2747, Australia.
Sara LalNeuroscience Research Unit, School of Life Sciences, University of Technology Sydney, Broadway, Sydney, NSW 2007, Australia.
University of Technology Sydney · AUWestern Sydney University · AURoyal North Shore Hospital · AUTorrens University Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe 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.

aimIn 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.

methodsSleep 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).

resultLow-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.

conclusionGiven 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.

Indexed as

Sleep Wake DisordersWearable Electronic DevicesCross-Sectional StudiesHeart RateHumansModels, BiologicalSleepSleep Qualityrate variabilitysleepstresswearable technology

Identifiers

PMID35565165
PMCPMC9103972
OpenAlexW4229448153

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.