Evidence map›Paper›PMID 39438840›Full record

ArticleBMC psychiatry2024

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

Yi Zhou, Weina Gao, Huijun Li, Xing Yao, Jing Wang, Xinchao Zhao

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 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

6 authors.

Yi ZhouSchool of Nursing, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang, 310053, China.
Weina GaoOrthopedics unit, Baoding No.1 Central Hospital, No.320, Changcheng North Street, Lianchi District, Baoding, Hebei, 071000, People's Republic of China. gaoweina984926@163.com.
Huijun LiNursing department, Baoding No.1 Central Hospital, No.320, Changcheng North Street, Lianchi District, Baoding, Hebei, 071000, China.
Xing YaoNursing Clinic, Baoding No.1 Central Hospital, No.320, Changcheng North Street, Lianchi District, Baoding, Hebei, 071000, China.
Jing WangGastroenterology unit, Baoding No.1 Central Hospital, No.320, Changcheng North Street, Lianchi District, Baoding, Hebei, 071000, China.
Xinchao ZhaoClinical Pharmacy unit, The Second Affiliated Hospital of Xingtai Medical College, 618 Iron and Steel North Road, Xindu District, Xingtai, Hebei, 054000, China.

Funding

Xingtai Science and Technology Bureau Project 2023ZC123
6 · The paper itself

Abstract

backgroundResilience 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.

methods1,279 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.

resultsThe 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.

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

Indexed as

AnxietyDepressionResilience, PsychologicalAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNursesSurveys and QuestionnairesYoung AdultAnxietyDepressionNetwork analysisNurseResilience

Identifiers

PMID39438840
PMCPMC11520162

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.