Evidence map›Paper›PMID 39773482›Full record

ReviewBMC nursing2025

Shift work sleep disorder in nurses: a concept analysis.

Liangmeng Yu, Huiyue Zhou, Jiamei Li, Xiaoling Yu

Abstract readReview
In one paragraph

Review in BMC nursing, 2025. 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
–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

9 citing papers in PubMed.

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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

4 authors.

Liangmeng Yu *Department of Nursing, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310000, China.
Huiyue Zhou *Ninth People's Hospital of Zhengzhou, Zhengzhou, Henan, China.
Jiamei LiDepartment of Nursing, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310000, China.
Xiaoling YuDepartment of Nursing, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310000, China. 2191022@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study seeks to elucidate the concept of shift work sleep disorder (SWSD) among nurses, thereby offering a comprehensive understanding that can inform future research and practical interventions.

methodsWalker and Avant's concept analysis method was employed to guide the study. A systematic literature review was conducted utilizing various databases, including PubMed, Embase, EBSCO, Web of Science, CNKI, WanFang, and Sino Med. The inclusion criteria were specifically designed to focus on studies that define SWSD, along with its attributes, antecedents, consequences, and assessment tools relevant to nursing professionals.

resultsThe analysis identified four key attributes of SWSD: internal/external circadian rhythm imbalance, impaired sleep, multidimensional health problems, and dynamic changes in symptoms. Antecedents include individual factors like personal health, lifestyle, family support, shift patterns, work environment, and other organizational factors. Consequences of SWSD encompass physiological health issues, mental health challenges, impaired social adaptability, and decreased nursing performance.

conclusionSWSD has a significant impact on the health and performance of nurses. Understanding its attributes, antecedents, and consequences is crucial for developing targeted interventions. Enhancing sleep hygiene, fostering supportive work environments, and implementing appropriate shift scheduling can help mitigate the adverse effects associated with SWSD.

Indexed as

Concept analysisNursesShift workSleep disorder

Identifiers

PMID39773482
PMCPMC11706026

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.