Same sleep disorder but different sleep patterns: individual differences in sleep health and depressive symptomatology in veterans with obstructive sleep apnea.

Mark C Thomas, Daniel J Buysse, Isabella Soreca

Abstract read

In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 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

3 authors.

Mark C ThomasVeterans Integrated Service Network (VISN) 4 Mental Illness Research, Education and Clinical Center (MIRECC), VA Pittsburgh Healthcare System, University Dr C-151R, Pittsburgh, PA, 15240, USA. mark.thomas2@va.gov.

Daniel J BuysseDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.

Isabella SorecaVeterans Integrated Service Network (VISN) 4 Mental Illness Research, Education and Clinical Center (MIRECC), VA Pittsburgh Healthcare System, University Dr C-151R, Pittsburgh, PA, 15240, USA.

Funding

Bright Light Therapy for residual daytime symptoms associated with obstructive sleep apneaI21RX003304 · VA · VETERANS HEALTH ADMINISTRATION · PI SORECA, ISABELLA · 2020 to 2022

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Rehabilitation Research and Development Service I21 RX003304-02RRD VA I21 RX003304

6 · The paper itself

Abstract

purposePoor sleep health, a composite measure of key sleep characteristics, may relate to increased depressive symptoms among individuals treated for obstructive sleep apnea. The current investigation examined the association between sleep health and depressive symptomatology.

methodsIn a pilot sample of 13 symptomatic OSA military Veterans with adequate CPAP adherence (mean age = 54.8, 76.9% male, 100% White), empirically validated cutoffs were applied to actigraphy-derived sleep variables: duration, efficiency, timing, and regularity.

resultsParticipants with zero optimal sleep scores had significantly higher depressive scores (M = 19.0, SD = 3.0) than participants with 1 or 2 (M = 9.8. SD = 4.3, p = .016) and 3 or more optimal sleep scores (M = 11.3, SD = 4.9, p = .038).

conclusionsThese preliminary findings suggest that better sleep health was associated with lower depressive symptomatology. Future work should replicate these preliminary findings in a larger sample.

Indexed as

ActigraphySleep Apnea, ObstructiveVeteransAdultAgedComorbidityContinuous Positive Airway PressureDepressionFemaleHumansIndividualityMaleMiddle AgedPilot ProjectsDepressive symptomsMultidimensional sleep healthObstructive sleep apneaSleep health

Identifiers

PMID38457023

DOI10.1007/s11325-024-03007-2

What OpenQuestion holds

Textmetadata

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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.