Evidence map›Paper›PMID 41559818›Full record

ArticleBMC psychology2026

Abusive leadership and employee's interpersonal interactions: the mediation effect of employee's need for emotional help.

Xiao Deng, Yaying Huang, Jiayu Li, Jianwei Huang, Chaoqi Yang

Abstract read
In one paragraph

Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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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

5 authors.

Xiao DengBusiness School, China University of Political Science and Law, Beijing, China.
Yaying HuangBusiness School, China University of Political Science and Law, Beijing, China. 1040457373@qq.com.
Jiayu LiSchool of Economics and Management, Wuhan University, Wuhan, China.
Jianwei HuangSchool of Juridical Science, China University of Political Science and Law, Beijing, China.
Chaoqi YangPeople's Procuratorate of Miyun District, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAbusive supervision, a form of leader deviant behavior, is a destructive leadership style. It negatively impacts both its targets and the overall organization. This study, rooted in the conservation of resources theory, expands our understanding by the effects of abusive supervision on employee’s interpersonal interactions. DESIGN/METHODOLOGY/APPROACH: We conducted a two-wave survey using convenience sampling of employees from different companies in China, employing established scales translated into Chinese. We obtained 176 matched responses from 200 distributed questionnaires (88% response rate) and conducted correlation analyses, OLS regression, mediation analysis and moderated mediation analysis.

findingsThe results showed that abusive supervision was positively associated with employees’ need for emotional help (β = 0.226), which was further associated with greater interpersonal interactions (β = 0.271). The indirect effect was significant (95% CI = [0.0108, 0.1052]). This indirect association also varied by team trust, with a significant index of moderated mediation (β = 0.025, 95% CI = [0.0010, 0.0756]). ORIGINALITY: This research contributes to a comprehensive understanding of the ramifications of abusive supervision by establishing a connection between such conduct and the interpersonal interactions of employees. Furthermore, it delineates several promising avenues for future investigation. PRACTICAL IMPLICATIONS: The findings suggest that managerial training, supportive HR strategies, and organizational policies aimed at reducing abusive behaviors and fostering team trust can help transform employees’ emotional needs into constructive interpersonal engagement.

Indexed as

EmploymentInterpersonal RelationsLeadershipAdultChinaFemaleHumansMaleSurveys and QuestionnairesTrustAbusive supervisionConservation of resources theoryInterpersonal interactionLeader deviant behaviorTeam trust

Identifiers

PMID41559818
PMCPMC13005357

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.