Evidence map›Paper›PMID 39749249›Full record

ArticleNature and science of sleep2024

Feasibility of at-Home Sleep Monitoring in Adolescents with and without Concussion.

Catherine C Donahue, Katherine L Smulligan, Mathew J Wingerson, Joshua R Kniss, Stacey L Simon, Julie C Wilson, David R Howell

Abstract read
In one paragraph

Article in Nature and science of sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Catherine C DonahueDepartment of Orthopedics, University of Colorado School of Medicine, Aurora, CO, USA.ORCID 0009-0008-0071-2055
Katherine L SmulliganDepartment of Orthopedics, University of Colorado School of Medicine, Aurora, CO, USA.
Mathew J WingersonDepartment of Orthopedics, University of Colorado School of Medicine, Aurora, CO, USA.
Joshua R KnissDepartment of Orthopedics, University of Colorado School of Medicine, Aurora, CO, USA.ORCID 0009-0000-5028-0467
Stacey L SimonDepartment of Pulmonary and Sleep Medicine, University of Colorado School of Medicine, Aurora, CO, USA.ORCID 0000-0003-4755-8151
Julie C WilsonDepartment of Orthopedics, University of Colorado School of Medicine, Aurora, CO, USA.
David R HowellDepartment of Orthopedics, University of Colorado School of Medicine, Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Poor sleep is associated with longer recovery following adolescent concussion, making the longitudinal assessment of sleep important for monitoring recovery and identifying sleep disruptions. An important consideration for successful monitoring of sleep following concussion is the feasibility and adherence of a given sleep monitoring tool when used in an at-home environment. Understanding the usability of different sleep monitoring tools is essential for determining their applicability for longitudinal assessment in an ecologically valid environment. Purpose: The purpose of this study was to: (1) report on the adherence and feasibility of at-home sleep monitoring in adolescents following concussion, and (2) compare outcomes of subjective and wearable measures of sleep between adolescents with and without a concussion. Patients and Methods: Participants included adolescents within 21 days of a concussion and uninjured controls that participated in four separate, prospective and longitudinal investigations of sleep following concussion. Sleep data was measured with: (1) Dreem Headband; (2) Philips Actiwatch; (3) Fitbit; and (4) subjective sleep diary. Sleep data was collected nightly, and adherence was defined as percentage of nights the participant used the sleep-monitoring tool over the study duration. Independent Results: Sleep data for a total of 183 adolescents (104 with concussion, 79 uninjured controls) was assessed. Adherence rates across all devices ranged from 53% to 98%, with the subjective sleep diary showing the highest adherence rate for both groups (concussion: 91%, control: 94%). Across the four different monitoring tools, adolescents with a concussion demonstrated longer duration, latency, wake after sleep onset, and lower (worse) efficiency, with medium to large effect sizes. Conclusion: The results indicate that at-home sleep monitoring is a feasible approach for tracking sleep in adolescents following concussion.

Indexed as

adolescentconcussionsleep assessment

Identifiers

PMID39749249
PMCPMC11694018

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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.