Evidence map›Paper›PMID 41426203›Full record

ArticleNature and science of sleep2025

Sleep Compensation on Work-Free days Is Associated with Better Sleep Quality.

Diana Aslamyar, Charlotte von Gall

Abstract read
In one paragraph

Article in Nature and science of sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Exposome factors predict the association between sleep health and depression.medRxiv : the preprint server for health sciences · 2026
    Article
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

2 authors.

Diana AslamyarInstitute of Anatomy II, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.ORCID 0009-0001-2548-9864
Charlotte von GallInstitute of Anatomy II, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Sleep of sufficient duration and quality is crucial for physical and mental health and performance. In modern urban society, work-related factors such as perceived workload and limited sleep duration on workdays appear to have a significant impact on sleep and well-being. Our current study examines both subjective and objective measures of sleep on workdays and work-free, as well as their associations. Methods: The study combines questionnaires and longitudinal wearable (Fitbit Inspire 2) sleep data from young, healthy adults (aged 18-48 years) in a German metropolitan region (n = 67). Associations were investigated by Spearman correlation analyses with a 95% confidence interval. Results: Perceived workload was associated with symptoms of depression/anxiety, daytime dysfunction, as well as subjective sleep quality, in particular on workdays. Sleep and sleep stages were objectively longer and later on work-free days than on work-days. Likewise, objective sleep efficiency and subjective sleep quality were higher on work-free days. Longer sleep duration, thus sleep compensation, on work-free days was associated with subjectively more restful and better sleep, and objectively with later phase and a higher proportion of REM sleep. Conclusion: These data suggest that work-related sleep loss should be avoided whenever possible or at least compensated for on work-free days in order to achieve not only sufficient sleep duration but also good sleep quality, which is pivotal for mental health and performance.

Indexed as

chronotypePHQ-4PSQIREM sleepsleep efficiencysocial jet lagworkload

Identifiers

PMID41426203
PMCPMC12717801

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.