Evidence map›Paper›PMID 39754082›Full record

ArticleBMC nursing2025

Anxiety and burnout in infectious disease nurses: the role of perceived stress and resilience.

Yalan Huang, Zonghua Wang, Yongguang Li, Zhihan Zhao, Weiyi Wang, Changxia Cai, Xiushuang Wu, Li Liu, Mengting 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

9 authors.

Yalan HuangOutpatient Department, Yunnan Provincial Corps Hospital of Chinese People's Armed Police Force, Kunming, China.
Zonghua WangDepartment of Clinical Nursing, School of Nursing, Army Medical University, Chongqing, China.
Yongguang LiOutpatient Department, Yunnan Provincial Corps Hospital of Chinese People's Armed Police Force, Kunming, China.
Zhihan ZhaoKunming Training Center of National Fire and Rescue Service, Kunming, China.
Weiyi WangThe Second Department of Recuperation, Dalian Rehabilitation Recuperation Center of PLA Joint Logistics Support Force, Dalian, China.
Changxia CaiOutpatient Department, Yunnan Provincial Corps Hospital of Chinese People's Armed Police Force, Kunming, China.
Xiushuang WuOutpatient Department, Yunnan Provincial Corps Hospital of Chinese People's Armed Police Force, Kunming, China.
Li LiuOutpatient Department, Yunnan Provincial Corps Hospital of Chinese People's Armed Police Force, Kunming, China. liuli72065@sina.com.
Mengting ChenDepartment of Clinical Nutrition, School of Medicine, Chongqing University Cancer Hospital, Chongqing University, Chongqing, China. chenmengting@cqu.edu.cn.

Funding

Chongqing medicinal biotech association of scientific research projects cmba2022kyym-zkxmQ0011National Natural Science Foundation of China 82404265Natural Science Foundation of Chongqing cstc2021jcyj-msxmX0400Project for Performance Incentive Guidance of scientific research Institutions in Chongqing cstc2022jxjl120007Science and Technology Research Program of Chongqing Municipal Education Commission KJQN202300120
6 · The paper itself

Abstract

backgroundNurses serving in infectious disease ward represent a distinct occupational group that has attracted considerable attention following epidemic outbreaks. However, prior to this study, no research had delved into the underlying mechanism linking anxiety to burnout symptoms among infectious disease nurses. This study aimed to explore investigate the association between anxiety and burnout among nurses working in such environments and scrutinized the mediating role of perceived stress and the moderating influence of resilience on the principal relationship.

methodsEmploying a cross-sectional study using a web-based design, data were collected from 1,579 clinical nurses working in infectious disease ward across 50 hospitals in China. Participants responded to questionnaires assessing anxiety, perceived stress, resilience and burnout. Statistical analyses encompassed descriptive statistics, one-way analyses of variance, independent-samples t-tests, Pearson correlations, and bootstrapping techniques to evaluate the indirect and moderating effects.

resultsThe study revealed that 62.13% of the respondents reported high levels of burnout, and 55.92% experienced moderate to high degrees of emotional exhaustion among infectious disease nurses. Significant correlations were observed between anxiety, perceived stress, resilience, and each component of burnout (P < 0.05). Notably, the mediating effect of perceived stress was accounting for 30.61% of the relationship between anxiety and burnout. Simple slope analysis demonstrated that perceived stress significantly predicted emotional exhaustion at both low (B = 0.854, t = 16.586, and P < 0.001) and high (B = 0.498, t = 9.503, and P < 0.001) levels of resilience. The perceived stress and emotional exhaustion were more serious when resilience levels were lower.

conclusionAnxiety was identified as a critical risk factor for burnout among nurses in infectious disease units. The relationship between anxiety and burnout was markedly affected by the levels of perceived stress and resilience. Specifically, the deleterious impact of perceived stress on burnout was amplified in nurses with diminished resilience relative to those with heightened resilience. Based on these findings, it is imperative to allocate resources for stress management programs and resilience training. Such initiatives would bolster support for nurses in infectious disease wards, ultimately enhancing their job satisfaction and well-being.

Indexed as

AnxietyBurnoutMental healthNursePerceived stressResilience

Identifiers

PMID39754082
PMCPMC11697665

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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.