Evidence map›Paper›PMID 39550545›Full record

ArticleBMC public health2024

Occupational stress trajectories and metabolic dysfunction-associated steatotic liver disease among female nurses: a prospective Cohort Study.

Hanxiao Luo, Linlin Xing, Tongtong Fu, Shiqi Xiao, Ling Fan

Abstract read
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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hanxiao Luo *Department of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Linlin Xing *Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Tongtong FuDepartment of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Shiqi Xiao *Department of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China. siyecaodjxx@sina.com.
Ling Fan *Department of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China. fanl@sj-hospital.org.

Funding

Department of Education of Liaoning Province LJ112410159085the Department of Science and Technology of Liaoning Province 2018225005
6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is a prominent cause of chronic liver disease, and occupational stress may serve as a potential risk factor. This study aims to assess the association between occupational stress trajectories and incident MASLD among Chinese female nurses.

methodsWe conducted a prospective longitudinal study using data from the Nurse' Health Cohort Study, involving 1,113 female nurses, free of MASLD at baseline (2018). Occupational stress was measured using the Chinese Nurse Job Stress Scale at four time points. Group-based trajectory modeling was used to identify distinct stress trajectories. Through doctors' diagnoses, we assessed incident MASLD over a subsequent 6-year period from 2019 to 2024. Cox proportional hazards regression models evaluated the association of stress trajectories and MASLD risk, adjusting for demographics, work-related factors, and medical conditions.

resultsDuring follow-up, 256 nurses reported incident physician-diagnosed MASLD. Three occupational stress trajectories were identified: moderate decreasing (36.4%), moderate stable (55.9%), and moderate increasing (7.7%). Participants in the moderate increasing stress trajectory had a significantly higher risk of developing MASLD (adjusted HR: 3.14, 95% CI: 2.19-4.49, p < .001) compared to those in the moderate stable trajectory. This association between stress trajectory and MASLD risk was not modified by age or BMI (p CONCLUSIONS AND RELEVANCE: The study concludes that increasing stress levels over time are associated with a higher incidence of MASLD. These findings underscore the importance of stress management interventions in reducing the risk of MASLD progression. Further research is needed to explore the underlying mechanisms and to develop targeted strategies for stress reduction in clinical settings.

Indexed as

NursesOccupational StressAdultChinaFemaleHumansIncidenceLongitudinal StudiesMiddle AgedProspective StudiesRisk FactorsCohort StudyMASLDOccupational stressTrajectory

Identifiers

PMID39550545
PMCPMC11569610

What Socratic 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 Socratic graph.