Evidence map›Paper›PMID 39396956›Full record

ArticleBMC nursing2024

Anxiety, depression, and post-traumatic stress disorder in nurses exposed to horizontal violence: a network analysis.

Huimin Wei, Mengqi Liu, Zhiwei Wang, Wenran Qu, Simeng Zhang, Bingyan Zhang, Peiyun Zhou, Zongke Long, Xiaorong Luan

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Observational
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Huimin Wei *School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong Province, China.
Mengqi Liu *School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong Province, China.
Zhiwei WangSchool of Nursing and Rehabilitation, Shandong University, Jinan, Shandong Province, China.
Wenran QuSchool of Nursing and Rehabilitation, Shandong University, Jinan, Shandong Province, China.
Simeng ZhangSchool of Nursing and Rehabilitation, Shandong University, Jinan, Shandong Province, China.
Bingyan ZhangSchool of Nursing and Rehabilitation, Shandong University, Jinan, Shandong Province, China.
Peiyun ZhouSchool of Nursing and Rehabilitation, Shandong University, Jinan, Shandong Province, China.
Zongke LongSchool of Nursing and Rehabilitation, Shandong University, Jinan, Shandong Province, China.
Xiaorong LuanSchool of Nursing and Rehabilitation, Shandong University, Jinan, Shandong Province, China. 199162000814@sdu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHorizontal violence can cause serious mental health problems for nurses, particularly anxiety, depression, and post-traumatic stress disorder. However, the intrinsic linkage mechanism between mental symptoms of anxiety, depression, and post-traumatic stress disorder in nurses exposed to horizontal violence is unclear. This study aims to elucidate the characteristics of anxiety, depression, and post-traumatic stress disorder networks among nurses with horizontal violence exposure.

methodsData for this cross-sectional study were obtained from the baseline portion of a short longitudinal survey conducted at four tertiary hospitals in Shandong Province, China. A total of 510 nurses with horizontal violence exposure completed the General Information Scale, the Negative Acts Questionnaire, the Seven-item Generalized Anxiety Disorder Scale, the Nine-item Patient Health Questionnaire, and the Four-item SPAN. The network model was constructed using network analysis. The expected influence and the bridge expected influence of nodes were calculated. The stability and accuracy of the network were estimated.

resultsThe results show that A4 (Trouble relaxing) and P1 (Startle) had the highest expected influence in the network. D9 (Suicidality ideation) and A5 (Restlessness) were the key bridge symptoms.

conclusions"Trouble relaxing", "Startle", "Suicidality ideation", and "Restlessness" are all mental symptoms that need to be urgently improved the most in nurses exposed to horizontal violence. Nursing administrators and policymakers should implement mental health intervention programs for these symptoms as early as possible to maximize nurses' mental health.

Indexed as

AnxietyDepressionNetwork analysisNursesPost-traumatic stress disorderViolence

Identifiers

PMID39396956
PMCPMC11472536

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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.