Evidence map›Paper›PMID 42746049›Full record

ArticleFrontiers in public health2026

The impact of perceived algorithmic management on employees' physical and mental health: a chain mediation analysis of frustrated work autonomy and workplace AI replacement anxiety.

Zheng Ma, Xingzi Chen, Binhua Jing

Abstract read
In one paragraph

Article in Frontiers in public health, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

Zheng MaSchool of Economics and Management, Huainan Normal University, Huainan, China.
Xingzi ChenSchool of Accounting, Zhejiang University of Finance and Economics Dongfang College, Haining, China.
Binhua JingSchool of Business, Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the acceleration of digital transformation, perceived algorithmic management has gradually evolved into a widespread new type of occupational psychosocial hazard. From the perspective of occupational health, this study explores the negative association between perceived algorithmic management on employees' physical and mental health and systematically examines the chain mediating role of frustrated work autonomy and workplace AI replacement anxiety. Using a questionnaire survey method, this study collected data from 338 employees in multiple industries in China who were directly affected by perceived algorithmic management, SPSS 27.0 was used for preliminary statistical analyses (descriptive statistics, reliability testing, and correlation analysis), while AMOS 28.0 was used to construct and test the structural equation model (SEM) for confirmatory factor analysis and path estimation. Bootstrap resampling with 5,000 iterations was applied to assess indirect effects. The results show that perceived algorithmic management is significantly negatively associated with employees' physical and mental health; frustrated work autonomy and workplace AI replacement anxiety not only each play an independent mediating role in this relationship, but also constitute a significant chain mediating pathway. This study suggests a potential mechanism through which perceived algorithmic management in the digital era may be associated with occupational health risks, providing important empirical evidence for governments to formulate public health intervention policies, for enterprises to optimize management systems, and for the implementation of workplace mental health protection.

Indexed as

AlgorithmsAnxietyArtificial IntelligenceHealth StatusMental HealthOccupational HealthWorkplaceAdultChinaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesWorking Conditionsalgorithmic managementchain mediation analysisemployees' physical and mental healthfrustrated work autonomyperceived algorithmic managementworkplace AI replacement anxiety

Identifiers

PMID42746049
PMCPMC13574970

What OpenQuestion holds

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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.