Evidence map›Paper›PMID 41131039›Full record

ArticleScientific reports2025

Network analysis of burnout, depression, and anxiety with occupational and personal outcomes among clinical nurses in China.

Huixue Xu, Liyan Liu, Zejun Li, Xin Wang, Peizhen Li, Kewen Yan, Tieqiao Liu, Yi-Yuan Tang, Pu Peng, Qiuxia Wu

Abstract read
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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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

10 authors.

Huixue Xu *Department of Psychiatry, National Center for Mental Disorders, National Clinical Research Center for Mental Disorders, Second Xiangya Hospital of Central South University, No. 139, Middle Renmin Road, Changsha, 410011, Hunan, China.
Liyan Liu *Department of Trauma Center, Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Zejun LiDepartment of Psychiatry, National Center for Mental Disorders, National Clinical Research Center for Mental Disorders, Second Xiangya Hospital of Central South University, No. 139, Middle Renmin Road, Changsha, 410011, Hunan, China.
Xin WangDepartment of Psychiatry, National Center for Mental Disorders, National Clinical Research Center for Mental Disorders, Second Xiangya Hospital of Central South University, No. 139, Middle Renmin Road, Changsha, 410011, Hunan, China.
Peizhen LiDepartment of Geriatrics, Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Kewen YanThe Third People's Hospital of Qujing, Qujing, 655000, Yunnan, China.
Tieqiao LiuDepartment of Psychiatry, National Center for Mental Disorders, National Clinical Research Center for Mental Disorders, Second Xiangya Hospital of Central South University, No. 139, Middle Renmin Road, Changsha, 410011, Hunan, China.
Yi-Yuan TangCollege of Health Solutions, Arizona State University, Phoenix, 85004, AZ, USA.
Pu PengDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang, China. pengpu@zju.edu.cn.
Qiuxia WuDepartment of Psychiatry, National Center for Mental Disorders, National Clinical Research Center for Mental Disorders, Second Xiangya Hospital of Central South University, No. 139, Middle Renmin Road, Changsha, 410011, Hunan, China. wuqiuxia@csu.edu.cn.

Funding

Natural Science Foundation of Hunan Province 2020JJ4795
6 · The paper itself

Abstract

Chinese nurses face staff shortages and heavy workloads, leading to increased depression, anxiety, and burnout. This study aimed to examine the symptom network of burnout, depression, and anxiety and its associations with negative personal and occupational outcomes among Chinese nurses. A total of 2092 nurses were recruited through snowball sampling. Burnout, depression, and anxiety were assessed using the two single-item burnout measures, Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder Scale-7 (GAD-7), respectively. Adverse outcomes, including low quality of life (QOL), suicidal ideation (SI), turnover intention, and medical errors, were also assessed. The network was estimated via the EBICglasso model, and centrality indices and bridge centrality indices were calculated to identify central and bridge symptoms, respectively. The prevalence of depression, anxiety, burnout, low QOL, medical error, turnover intention, and SI was 30.1%, 16.5%, 26.4%, 34.4%, 16.1%, 26.0%, and 26.5%, respectively. Results showed that GAD2 (Uncontrollable worry) was the most central symptom, whereas emotional exhaustion (EX), PHQ8 (Motor), and PHQ4 (Fatigue) were bridge symptoms. Depersonalization (DP) was most strongly associated with adverse work outcomes, and EX was the strongest predictor of poor QOL. The findings highlight the need for early detection and intervention for burnout to mitigate negative impacts.

Indexed as

AnxietyBurnout, ProfessionalDepressionNursesAdultChinaFemaleHumansMaleMiddle AgedPrevalenceQuality of LifeSuicidal IdeationSurveys and QuestionnairesAdverse outcomesBurnoutMental distressNetwork analysisNurses

Identifiers

PMID41131039
PMCPMC12549974

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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.