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临床护士韧性、焦虑和抑郁的网络分析。

Network analysis of resilience, anxiety and depression in clinical nurses.

机构信息

School of Nursing, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang, 310053, China.

Orthopedics unit, Baoding No.1 Central Hospital, No.320, Changcheng North Street, Lianchi District, Baoding, Hebei, 071000, People's Republic of China.

出版信息

BMC Psychiatry. 2024 Oct 22;24(1):719. doi: 10.1186/s12888-024-06138-8.

DOI:10.1186/s12888-024-06138-8
PMID:39438840
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11520162/
Abstract

BACKGROUND

Resilience is a protective feature against anxiety and depression disorders. However, the precise relationship and structure of resilience and anxiety and depression remain poorly understood. This study sought to investigate the link among resilience' components and anxiety as well as depression.

METHODS

1,279 clinical nurses were recruited. 10-item Connor-Davidson Resilience Scale, Generalized Anxiety Disorder 7, and Patient Health Questionnaire 9 were employed to evaluate resilience, anxiety, and depression, respectively. The regularized partial-correlation network was generated utilizing data from cross-sectional survey and the bridge expected influence index was utilized to quantify bridge components.

RESULTS

The rates of anxiety and depression within clinical nurses were 67.3% and 67.2%, accordingly. Four strongest bridge edges appeared in the resilience-anxiety network, like "Adapt to change"- "Fear that something might happen", and "Stay focused under pressure"- "Uncontrollable worry". Two strongest bridge edges appeared in the resilience-depression network, like "Adapt to change"- "Concentration difficulties" and "Stay focused under pressure"- "Fatigue". "Adapt to change" was recognized as bridging nodes in both the resilience-anxiety network and the resilience-depression network.

CONCLUSIONS

Interventions targeting the bridge component "Adapt to change" within resilience, may mitigate the intensity of anxiety and depression symptoms among clinical nurses.

摘要

背景

韧性是一种预防焦虑和抑郁障碍的保护特征。然而,韧性与焦虑和抑郁之间的确切关系和结构仍知之甚少。本研究旨在探讨韧性成分与焦虑和抑郁之间的联系。

方法

招募了 1279 名临床护士。采用 10 项 Connor-Davidson 韧性量表、广泛性焦虑症 7 项量表和患者健康问卷 9 项量表分别评估韧性、焦虑和抑郁。利用横断面调查数据生成正则化部分相关网络,并利用桥接预期影响指数来量化桥接成分。

结果

临床护士中焦虑和抑郁的发生率分别为 67.3%和 67.2%。在韧性-焦虑网络中出现了四个最强的桥接边,如“适应变化”-“担心事情会发生”,以及“在压力下保持专注”-“无法控制的担忧”。在韧性-抑郁网络中出现了两个最强的桥接边,如“适应变化”-“注意力困难”和“在压力下保持专注”-“疲劳”。“适应变化”被认为是韧性-焦虑网络和韧性-抑郁网络中的桥接节点。

结论

针对韧性中“适应变化”的桥接成分的干预措施,可能会减轻临床护士焦虑和抑郁症状的强度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/070e/11520162/58d7c45898c5/12888_2024_6138_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/070e/11520162/b98a95635fd3/12888_2024_6138_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/070e/11520162/58d7c45898c5/12888_2024_6138_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/070e/11520162/b98a95635fd3/12888_2024_6138_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/070e/11520162/58d7c45898c5/12888_2024_6138_Fig2_HTML.jpg

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