Evidence map›Paper›PMID 42274156›Full record

ArticleNursing open2026

The Effect of Negative Workplace Gossip on Nurses' Turnover Intentions: The Mediating Role of Anxiety.

Li Ying, Tao Shen, Xiaolin Shen

Abstract read
In one paragraph

Article in Nursing open, 2026. 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
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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

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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

3 authors.

Li YingDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0003-4616-0977
Tao ShenSchool of Business Administration, Southwestern University of Finance and Economics, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0001-5953-7345
Xiaolin ShenDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0006-0078-3940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to investigate the relationship between negative workplace gossip targeting individual nurses and their turnover intentions, with a specific focus on the mediating role of anxiety.

designThis cross-sectional study applies affective events theory to examine how negative gossip, as an emotionally charged event, may be significantly associated with anxiety and higher turnover intentions.

methodsData were collected from 320 nurses working in tertiary and secondary hospitals in Sichuan Province, China. Participants completed established measures assessing negative workplace gossip, anxiety and turnover intentions. Hierarchical regression analysis, bootstrapping method and supplementary structural equation modelling were used to test the hypothesised relationships and mediation effects.

resultsNegative workplace gossip was significantly associated with turnover intentions of targeted nurses both directly and through anxiety as a mediator. Nurses who experienced higher levels of negative gossip towards them reported increased anxiety, which was positively related to their intentions to leave.

conclusionNegative workplace gossip is positively associated with anxiety and turnover intentions among targeted nurses. This study highlights the importance of addressing relational stressors within healthcare workplaces to support retention and mitigate turnover. PATIENT OR PUBLIC CONTRIBUTION: Participating nurses contributed by completing self-reported questionnaires.

Indexed as

AnxietyIntentionNursing Staff, HospitalPersonnel TurnoverWorkplaceAdultChinaCross-Sectional StudiesFemaleHumansJob SatisfactionMaleSurveys and QuestionnairesWorking Conditionsaffective events theoryanxietyhealthcare workplace culturenegative workplace gossipnurse turnover intentions

Identifiers

PMID42274156
PMCPMC13255148

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.