Evidence map›Paper›PMID 40108223›Full record

ArticleScientific reports2025

Current situation and related factors of fatigue among doctors and nurses in tertiary general hospitals in Northeast China.

Bin Wang, Wenshu Yang, Yu Wang, Xu Chen, Dongmei Liu, Bao Yin, Haidong Bao, Dong Wang, Surui He

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

9 authors.

Bin Wang *The First Affiliated Hospital of Dalian Medical University, Unit 702, Building 28, Rao Shan Road, Bai Yun District, Dalian City, 116011, Liaoning Province, People's Republic of China.
Wenshu Yang *The First Affiliated Hospital of Dalian Medical University, Unit 702, Building 28, Rao Shan Road, Bai Yun District, Dalian City, 116011, Liaoning Province, People's Republic of China.
Yu Wang *The Second Affiliated Hospital of Dalian Medical University, Dalian, People's Republic of China.
Xu ChenLianyungang Maternal and Child Health Hospital, NO. 669 Qindongmen Street, Haizhou District, Lianyungang, 222000, People's Republic of China.
Dongmei LiuThe Second Affiliated Hospital of Dalian Medical University, Dalian, People's Republic of China.
Bao YinThe First Affiliated Hospital of Dalian Medical University, Unit 702, Building 28, Rao Shan Road, Bai Yun District, Dalian City, 116011, Liaoning Province, People's Republic of China.
Haidong BaoThe First Affiliated Hospital of Dalian Medical University, Unit 702, Building 28, Rao Shan Road, Bai Yun District, Dalian City, 116011, Liaoning Province, People's Republic of China.
Dong WangLianyungang Maternal and Child Health Hospital, NO. 669 Qindongmen Street, Haizhou District, Lianyungang, 222000, People's Republic of China. 53020479@qq.com.
Surui HeThe First Affiliated Hospital of Dalian Medical University, Unit 702, Building 28, Rao Shan Road, Bai Yun District, Dalian City, 116011, Liaoning Province, People's Republic of China. 18098871063@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatigue has gradually become an important factor affecting the health and work quality of healthcare workers. However, the occurrence of fatigue and related factors in the context of heavy workloads and strained doctor-patient relationships have not been adequately studied in Northeast China. The current study aims to assess the situation of fatigue among healthcare workers in tertiary general hospitals in Northeast China, and to further analyze the influencing factors of fatigue among healthcare workers (doctors and nurses as a whole), doctors and nurses from various perspectives. A cross-sectional survey was conducted among healthcare workers who met the inclusion criteria in two tertiary general hospitals in Dalian, Liaoning Province, Northeast China. The survey data collected in the structured questionnaire include fatigue, general demographic characteristics, work situation, perceived stress, insomnia symptoms, workplace violence, anxiety symptoms, depressive symptoms, family function, and doctor-patient relationship. A binary logistic regression model was applied to analyze the independent influencing factors of fatigue. A total of 1004 healthcare workers were included in this study (503 doctors and 501 nurses). The prevalence of fatigue was 53.9% for healthcare workers, with rates of 52.3% for doctors, and 55.5% for nurses. Binary logistic regression analysis showed that health status, perceived stress, insomnia symptoms, anxiety symptoms, and doctor-patient relationship were influencing factors of fatigue among healthcare workers, doctors, and nurses. Chronic pain was an influencing factor for fatigue among healthcare workers and nurses. Depressive symptoms were an influencing factor for fatigue for healthcare workers and doctors. Night shift frequency was an influencing factor for fatigue for nurses. In Northeast China, tertiary general hospitals have a relatively high prevalence of fatigue among healthcare workers, especially among nurses. Fatigue was influenced by various factors such as health status, perceived stress, insomnia symptoms, anxiety symptoms, and doctor-patient relationships. It is necessary to raise awareness of fatigue among healthcare workers, particularly healthcare workers with risk factors, and to develop targeted and effective intervention measures aimed at reducing fatigue.

Indexed as

FatigueNursesPhysiciansAdultChinaCross-Sectional StudiesFemaleHospitals, GeneralHumansMaleMiddle AgedPhysician-Patient RelationsPrevalenceRisk FactorsSleep Initiation and Maintenance DisordersSurveys and QuestionnairesChinaDoctorsFatigueNursesTertiary general hospitals

Identifiers

PMID40108223
PMCPMC11923294

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LicenceCC BY-NC-ND
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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.