Evidence map›Paper›PMID 39905417›Full record

ArticleBMC nursing2025

Workplace violence, psychopathological symptoms, and deviant workplace behavior among nursing interns in China: a network analysis.

Simeng Dong, Xinshu Shen, Tong Zhao, Rui Zeng, Min Chen

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 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

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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

5 authors.

Simeng DongSchool of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China.
Xinshu ShenDepartment of Oncology, Shengjing Hospital of China Medical University, 36# Sanhao Street, Heping District, Shenyang, Liaoning Province, China. shenxs2024@163.com.
Tong ZhaoDepartment Clinical Laboratory, Liaoning Thrombosis Integrated Traditional Chinese and Western Medicine Medical Center, Shenyang, China.
Rui ZengDepartment of Gerontology, The Sixth People's Hospital of Shenyang, Shenyang, China.
Min ChenCounseling Center, Chongqing University of Posts and Telecommunications, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorkplace violence in healthcare has become a global concern, and nursing interns are not immune to it in clinical settings. It is critical to understand the impact of workplace violence on the psychological and work status of nursing interns.

methodsBetween April and May 2024, a total of 2213 nursing interns from 12 hospitals in China participated in the study. Data were collected with questionnaires on basic information, the Workplace Violence Scale, the Caregiver Occupational Deviant Behavior Scale, and the DSM-5 Level 1 Cross-Cutting Symptom Measure. The basic analysis was performed using SPSS 24.0 software, and the network structure analysis was constructed using R software to calculate the relationship between the nodes and the centrality index.

resultsIn nursing interns, the items with the highest prevalence of workplace violence were verbal assault (32.038%) and threats (10.303%); in psychopathological symptoms, the items with the highest prevalence were anxiety (38.500%), anger (35.337%), and depression (33.439%). The strongest edge within the cluster is "Verbal sexual harassment-Physical sexual harassment," and the strongest edge between clusters is "Verbal assault-Depression." The node with the highest strength, expected influence, and betweenness indices is "Anxiety," and the node with the highest closeness index is "Depression."

conclusionsThe results demonstrate the effectiveness of the network perspective in elucidating the complex relationships and interconnections between different symptoms. We identified the strongest relationships between nodes, "Depression" and "Anxiety" as the most important symptom. These findings may provide more precise targets for developing interventions for nursing interns.

Indexed as

Deviant workplace behaviorsNetwork analysisNursing internsPsychopathological symptomsWorkplace violence

Identifiers

PMID39905417
PMCPMC11796222

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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.