Evidence map›Paper›PMID 40299906›Full record

ArticlePloS one2025

The relationship between noise annoyance, emotional labor and burnout in operating-room nurses: A protocol for cross-sectional study.

Yizhi Zhang, Yan Chen, Jiaqing Rao, Qingjiao Guo, Jing Ou-Yang, Shasha Luo, Ying Gu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yizhi ZhangOperating Room, Beijing Jishuitan Hospital Guizhou Hospital, Guiyang, Guizhou, China.ORCID 0000-0002-3954-0544
Yan ChenDepartment of Urology, GUIQIAN International General Hospital, Guiyang, Guizhou, China.
Jiaqing RaoDepartment of Nursing, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Qingjiao GuoDepartment of Nursing, Hospital of Stomatology of Zunyi, Zunyi, Guizhou, China.
Jing Ou-YangDepartment of Nursing, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Shasha LuoDepartment of Nursing, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Ying GuDepartment of Nursing, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Operating room nurses may experience occupational burnout brought by noise annoyance during which emotional labor may act as a moderating factor between the two. The aims of this study are: (1) to investigate the independent correlation between noise annoyance and burnout among operating room nurses; (2) to explore the relationship between noise annoyance, emotional labor, and burnout. This study, a cross-sectional study design, is being conducted in Guizhou province, China. The Chinese version of the noise annoyance, emotional labor and burnout scale will be used to assess the current situation of the samples, and the data will be collected using paper questionnaires and electronic questionnaires. Additionally, the Pearson or Spearman rank correlation coefficients will be involved in correlation analyses. Multiple linear regression analysis will be also carried out to produce β-coefficients with 95% confidence intervals. A nonparametric, bias-corrected 95% bootstrapped confidence interval with 5,000 bootstrap iterations will help to determine the importance of mediating effects. The trial registration number is ChiCTR2300068414.

Indexed as

Burnout, ProfessionalEmotionsNoiseNursesOperating RoomsAdultChinaCross-Sectional StudiesFemaleHumansMaleSurveys and Questionnaires

Identifiers

PMID40299906
PMCPMC12040210

What OpenQuestion holds

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LicenceCC BY
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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.