Evidence map›Paper›PMID 35554586›Full record

ArticleSleep2022

Combining cardiac monitoring with actigraphy aids nocturnal arousal detection during ambulatory sleep assessment in insomnia.

Lara Rösler, Glenn van der Lande, Jeanne Leerssen, Austin G Vandegriffe, Oti Lakbila-Kamal, Jessica C Foster-Dingley, Anne C W Albers, Eus J W van Someren

Open access · hybridAbstract read
In one paragraph

Article in Sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Lara RöslerNetherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands.ORCID 0000-0003-1046-1073
Glenn van der LandeNetherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands.
Jeanne LeerssenNetherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands.ORCID 0000-0001-9581-0388
Austin G VandegriffeDepartment of Mathematics and Statistics, Missouri University of Science and Technology, Rolla, MO,USA.
Oti Lakbila-KamalNetherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands.
Jessica C Foster-DingleyNetherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands.
Anne C W AlbersNetherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands.
Eus J W van SomerenNetherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands.ORCID 0000-0002-9970-8791
Netherlands Institute for Neuroscience · NLMissouri University of Science and Technology · US

Funding

European Research Council ERC-ADG-2014-671084-INSOMNIA
6 · The paper itself

Abstract

STUDY

objectivesThe objective assessment of insomnia has remained difficult. Multisensory devices collecting heart rate (HR) and motion are regarded as the future of ambulatory sleep monitoring. Unfortunately, reports on altered average HR or heart rate variability (HRV) during sleep in insomnia are equivocal. Here, we evaluated whether the objective quantification of insomnia improves by assessing state-related changes in cardiac measures.

methodsWe recorded electrocardiography, posture, and actigraphy in 33 people without sleep complaints and 158 patients with mild to severe insomnia over 4 d in their home environment. At the microscale, we investigated whether HR changed with proximity to gross (body) and small (wrist) movements at nighttime. At the macroscale, we calculated day-night differences in HR and HRV measures. For both timescales, we tested whether outcome measures were related to insomnia diagnosis and severity.

resultsAt the microscale, an increase in HR was often detectable already 60 s prior to as well as following a nocturnal chest, but not wrist, movement. This increase was slightly steeper in insomnia and was associated with insomnia severity, but future EEG recordings are necessary to elucidate whether these changes occur prior to or simultaneously with PSG-indicators of wakefulness. At the macroscale, we found an attenuated cardiac response to sleep in insomnia: patients consistently showed smaller day-night differences in HR and HRV.

conclusionsIncorporating state-related changes in cardiac features in the ambulatory monitoring of sleep might provide a more sensitive biomarker of insomnia than the use of cardiac activity averages or actigraphy alone.

Indexed as

ActigraphySleep Initiation and Maintenance DisordersArousalHumansPolysomnographySleepactigraphyarousalheart rateheart rate variabilityinsomnia

Identifiers

PMID35554586
PMCPMC9113014
OpenAlexW4220803486

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.