Evidence map›Paper›PMID 40340832›Full record

ArticleBMC nursing2025

Fatigue and coping strategies among Chinese night-shift nurses: a cross-sectional study.

Bin He, Yanle Zhang, Shengjun Qian, Qun Ye, Ying Ren, Zhan Wang

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Bin HeDepartment of Orthopedics, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Yanle ZhangDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Shengjun QianDepartment of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Qun YeDepartment of Nursing, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China.
Ying RenDepartment of Nursing, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China. ry0900@zju.edu.cn.
Zhan WangDepartment of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China. wangzhanhz@zju.edu.cn.

Funding

Medical Science and Technology Project of Zhejiang Province 2024KY1025Zhejiang Provincial Natural Science Foundation LY24H060002
6 · The paper itself

Abstract

backgroundNight-shift work is a crucial component of nursing but is associated with significant fatigue, which may impact both nurse well-being and patient safety. Understanding the levels of fatigue and the coping strategies employed by nurses can help develop effective interventions. This study aimed to assess the fatigue levels of Chinese night-shift nurses and explore commonly used anti-fatigue strategies.

methodsA cross-sectional study was conducted in Zhejiang Province, China, using the Occupational Fatigue Exhaustion/Recovery Scale (OFER) questionnaire. The survey assessed acute and chronic fatigue levels, fatigue recovery, and anti-fatigue strategies among nurses. Statistical analysis was performed using SPSS 26.0.

resultsAmong the 371 valid responses, chronic fatigue levels (66.41 ± 24.17) were higher than acute fatigue levels (57.31 ± 15.61). Nurses with higher education levels reported lower acute fatigue, while older, more experienced nurses and those working in higher-grade hospitals had lower chronic fatigue. Common coping strategies included naps (63.88%) and stimulant consumption (54.72%), with coffee (45.37%) and milk tea (23.28%) being the most popular drinks.

conclusionOur findings indicate that Chinese night-shift nurses experience substantial fatigue, especially chronic fatigue, which is influenced by factors including education, age, clinical experience, exercise frequency, and hospital grade. Although personal coping strategies are common, they fall short in mitigating fatigue, underscoring the need for comprehensive interventions that combine individual and organizational measures. CLINICAL TRIAL NUMBER: not applicable.

Indexed as

CoffeeFatigueNursing careShift work scheduleTea

Identifiers

PMID40340832
PMCPMC12060363

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.