Evidence map›Paper›PMID 42252307›Full record

ArticleScientific reports2026

The mediating role of sleep quality in the association between job stress and quality of life among medical university employees.

Zahra Hosseinkhani, Edris Kakemam, Maryam Hadji, Hassan Taherahmadi, Neda Mohammadi

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In one paragraph

Article in Scientific reports, 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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zahra HosseinkhaniNon-Communicable Diseases Research Center, Research institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Edris KakemamNon-Communicable Diseases Research Center, Research institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Maryam HadjiVirtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, 70150, Finland.
Hassan TaherahmadiClinical Research Development Unit, Qods Hospital, Qazvin University of Medical Sciences, Qazvin, Iran.
Neda MohammadiNon-Communicable Diseases Research Center, Research institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran. N.Mohamadi@qums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Job stress is a risk factor for poor quality of life), but the mediating role of sleep quality is underexplored, particularly among medical university employees. This study examined the direct and indirect effects of job stress, measured using the effort-reward imbalance (ERI) model, on quality of life, with sleep quality as a hypothesized mediator. A cross-sectional analysis was conducted using data from 1,250 employees of Qazvin University of Medical Sciences in Iran. Participants completed validated instruments, including the effort-reward imbalance (ERI) questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the World Health Organization Quality of life Instrument (WHOQOL-BREF). Structural equation modeling was employed to test the mediating role of sleep quality in the relationship between job stress and quality of life. Of the study participants, 61.0% exhibited effort-reward imbalance. This group reported poorer sleep quality and lower quality of life across all domains (physical, psychological, social, environmental). Structural equation modeling revealed that a higher ER ratio had a significant negative direct effect on quality of life (B = -1.31, p < 0.001) and a significant negative total effect (B = -2.80, p < 0.001). The total effect was partially mediated by global sleep quality (indirect effect B = -1.50, p < 0.001). Analysis of specific sleep components identified subjective sleep quality, and daytime dysfunction as significant mediating factors. This study demonstrated that job stress, conceptualized as effort-reward imbalance, is associated with the quality of life through both direct and indirect pathways, with sleep quality serving as a significant mediator. These findings highlight the need for integrated workplace interventions that enhance rewards, manage overcommitment, and promote sleep health to protect the well-being of medical university employees.

Indexed as

Occupational StressQuality of LifeSleepSleep QualityAdultCross-Sectional StudiesFemaleHumansIranJob SatisfactionMaleMiddle AgedRewardSurveys and QuestionnairesUniversitiesEffort-reward imbalanceJob StressQuality of LifeSleep Quality

Identifiers

PMID42252307
PMCPMC13486691

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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.