Evidence map›Paper›PMID 40069643›Full record

Observational studyBMC psychiatry2025

Alteration in network centrality of psychopathology symptoms in public bus driver between the COVID-19 control policies unbundling.

Jun Zhang, Yang-Ying Bu, Wen-Li Zhu, Fang Wang, Chuan-Fu Song, Qiang Hu, Hui Zheng

Abstract readObservational Study
In one paragraph

Observational study in BMC psychiatry, 2025. 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

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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

7 authors.

Jun Zhang *Department of Psychiatry, The Fourth People's Hospital of Wuhu, Anhui, China.
Yang-Ying Bu *Department of Psychological Measurement, The Fourth People's Hospital of Wuhu, Anhui, China.
Wen-Li ZhuDepartment of Psychiatry, The Fourth People's Hospital of Wuhu, Anhui, China.
Fang WangDepartment of Psychological Measurement, The Fourth People's Hospital of Wuhu, Anhui, China.
Chuan-Fu SongDepartment of Psychiatry, The Fourth People's Hospital of Wuhu, Anhui, China. songchfu@163.com.
Qiang HuDepartment of Psychiatry, Zhenjiang Mental Health Center, Jiangsu, 212000, China. huqiang@sjtu.edu.cn.
Hui ZhengShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. zh.dmtr@gmail.com.

Funding

Clinical Medical Research Conversion Special, Anhui Key Research and Development Program 202204295107020065Scientific Research Project of Anhui Provincial Health Commission AHWJ2022b096Zhenjiang Science and Technology Innovation Fund (Social Development of Key R&D Program) project SH2021067, SH2021070, SH2022065
6 · The paper itself

Abstract

backgroundBus drivers face complex work challenges and high infection risks, particularly heightened during the COVID-19 pandemic, which significantly affects their mental health. This study used network analysis to conduct a longitudinal follow-up of the psychological symptom network of bus drivers, utilizing the Symptom Checklist-90-Revised (SCL-90-R).

designA repeated-measures self-controlled observational design was used to survey 1,600 intercity bus drivers in a city in southern Anhui, China, in September 2022 and January 2023, respectively, and participant data were analyzed using regularized partial correlation network analysis.

resultsA total of 1134 (74.56%) completed the two surveys, 1121 (98.9%) were male, with a mean age of 47.3 ± 6.27 years, and all had junior high school education and above. The results showed a significant reduction in the severity of psychological symptoms among bus drivers the second time around. Anxiety remained the core symptom in the network; however, depression emerged as a secondary core symptom following the relaxation of policies related to COVID-19. Additionally, the weights of significant edges in the symptom network also changed.

conclusionAlthough this study lacked causal inference and relied on self-reported symptoms, it reveals changes in bus drivers' psychological symptom networks under two psychological physical examinations, highlighting the implications of COVID-19 and subsequent policy changes for future research and intervention to improve mental health among this population.

Indexed as

AnxietyAutomobile DrivingCOVID-19DepressionMotor VehiclesAdultChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedSARS-CoV-2Bus driverCOVID-19Network analysisSCL-90-R

Identifiers

PMID40069643
PMCPMC11899060

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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.