Evidence map›Paper›PMID 42326903›Full record

Observational studyFrontiers in public health2026

Post-shift recovery sleep duration and its association with daytime sleepiness among night-shift nurses: a repeated-measures observational study.

Ye Feng, Liangzhu Feng, Wen Shi

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2026. 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. 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

3 authors.

Ye FengDepartment of Anesthesiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Liangzhu FengSchool of Physical Education & Sports Science, South China Normal University, Guangzhou, China.
Wen ShiDepartment of Anesthesiology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine the association between post-shift recovery sleep duration and daytime sleepiness among night-shift nurses. Methods: A repeated-measures observational study among night-shift nurses in a tertiary hospital. Data were collected between September and November 2025. Post-shift recovery sleep duration, defined as sleep obtained within 24 h after completing a night shift, was categorized as 0 h, <2 h, 2-4 h, or ≥4 h. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS). Linear mixed-effects models with random intercepts were applied to evaluate associations while controlling for sex, working unit, night-shift workload, caffeine intake during night shifts, and insomnia severity. Results: Recovery sleep duration was associated with daytime sleepiness across sleep-duration categories. Nurses reporting 2-4 h of recovery sleep had the highest ESS scores compared with those reporting no recovery sleep (ES, ±95% Conclusions: Post-shift recovery sleep duration was associated with daytime sleepiness among night-shift nurses, with intermediate recovery sleep duration (2-4 h) showing the highest ESS scores. Because recovery sleep duration was self-reported and the study design limits causal inference, these findings should be interpreted as associations rather than evidence of causality. Fatigue risk management strategies should consider not only sleep duration but also the quality and context of post-shift recovery.

Indexed as

Nursing Staff, HospitalShift Work ScheduleSleep DurationSleepinessWork Schedule ToleranceAdultFemaleHumansMaledaytime sleepinessEpworth Sleepiness Scalefatigue managementnight-shift nursessleep duration

Identifiers

PMID42326903
PMCPMC13281720

What OpenQuestion holds

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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.