Evidence map›Paper›PMID 40300878›Full record

ArticlePsyCh journal2025

Psychological Distress Among Chinese Manufacturing Employees: Prevalence and a Symptom Network Analysis.

Jie Meng, Xueping Meng

Abstract read
In one paragraph

Article in PsyCh journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 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

2 authors.

Jie MengDepartment of Psychology, Faculty of Education, Guangxi Normal University, Guilin, China.ORCID https://orcid.org/0000-0001-8179-8971
Xueping MengDepartment of Psychology, Faculty of Education, Guangxi Normal University, Guilin, China.

Funding

Guangxi Higher Education Institutions' Young and Middle-aged Teachers' Fundamental Research Ability Enhancement Project 2023KY0036Natural Science Foundation of Guangxi Zhuang Autonomous Region 2023GXNSFBA026200
6 · The paper itself

Abstract

The psychological distress among manufacturing workers is an increasingly important issue and has attracted extensive attention. However, the mental health of this subgroup of the Chinese population is underexplored. This study aimed to evaluate the prevalence of psychological distress in Chinese manufacturing employees and identify central symptoms, important bridge symptoms, and associations between symptoms using network analysis. The participants were 4934 employees recruited from a Chinese manufacturing company. The Maslach Burnout Inventory-General Survey (MBI-GS), the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), and the Symptom Checklist 90 (SCL-90) were used to assess job burnout, anxiety, depression, compulsive symptom, somatization, psychoticism, paranoid, phobic, hostility, and interpersonal sensitivity, respectively. In total, 29.77%, 21.14%, and 26.53% of all participants experienced burnout, anxiety, and depression, respectively. Compared to normative data of the Chinese population, the seven symptoms of the SCL-90 among participants were significantly higher. The network analysis revealed that interpersonal sensitivity had the greatest strength and somatization had the greatest betweenness and closeness. Anxiety had the highest bridge expected influence. These results demonstrate that the mental health of Chinese manufacturing employees is a cause for concern. Interpersonal sensitivity and somatization emerged as the core symptoms, and anxiety was an important bridge symptom. Interventions aimed at these conditions may promote and enhance the overall mental health of Chinese manufacturing employees.

Indexed as

AnxietyBurnout, ProfessionalDepressionManufacturing IndustryPsychological DistressAdultChinaFemaleHumansMaleMiddle AgedPrevalenceSurveys and QuestionnairesYoung Adultanxietyburnoutdepressionmanufacturing employeesnetwork analysis

Identifiers

PMID40300878
PMCPMC12318592

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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.