Evidence map›Paper›PMID 37575107›Full record

ArticleFrontiers in public health2023

Association between work stress and mental health in Chinese public health workers during the COVID-19 epidemic: mediating role of social support and self-efficacy.

Yinqiao Dong, Qianqian Zhu, Ruijie Chang, Rongxi Wang, Yong Cai, Hong Huang

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. 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

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

4 citing papers in PubMed.

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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

6 authors.

Yinqiao DongSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qianqian ZhuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ruijie ChangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rongxi WangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yong CaiHongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong Univeristy School of Medicine, Shanghai, China.
Hong HuangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Little is known about the mediating mechanisms underlying the association between work stress and mental health, especially among primary public health workers (PHWs). We aimed to evaluated the association between work stress and mental health among PHWs, and explore the mediating roles of social support and self-efficacy. Methods: A large-scale cross-sectional survey was conducted among 3,809 PHWs from all 249 community health centers in 16 administrative districts throughout Shanghai, China. Pearson correlation and hierarchical linear regression were used to explore the associations among work stress, social support, self-efficacy and mental health. Structural equation modeling (SEM) was conducted to examine the mediation effects. Results: The prevalence of depression and anxiety symptoms among primary PHWs was 67.3 and 55.5%, respectively. There is a significant positive direct effect of work stress on mental health (β = 0.325, Conclusion: Work stress has significant direct and indirect effects on mental health among primary PHWs. Enhancing social support and self-efficacy may be effective psychological interventions to mitigate the effects of work-related stress on mental health. These findings highlight the severity of mental health problems among primary public health workers and provide new evidence for early prevention and effective intervention strategies.

Indexed as

COVID-19Occupational StressChinaCross-Sectional StudiesHumansMental HealthPublic HealthSelf EfficacySocial Supportanxietydepressionhealthcare workermediating effectself-efficacysocial support

Identifiers

PMID37575107
PMCPMC10415911

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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.