Evidence map›Paper›PMID 42382203›Full record

ArticleSafety and health at work2026

Work-related Musculoskeletal Disorders Among Machinery Manufacturing Factory Workers in a Chinese Factory.

Fengtao Cui, Yucheng Sun, Yingge Duan, Hanyun Wang, Ye Xin, Lifei Li, Li Chen, Piye Niu, Junxiang Ma

Abstract read
In one paragraph

Article in Safety and health at work, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Fengtao CuiDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China.
Yucheng SunDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China.
Yingge DuanDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China.
Hanyun WangDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China.
Ye XinDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China.
Lifei LiDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China.
Li ChenDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China.
Piye NiuDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China.
Junxiang MaDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of work-related musculoskeletal disorders (WMSDs) is high among workers in the machinery manufacturing industry yet effective prevention and control measures are currently lacking. Methods: This study recruited 226 workers from a machinery manufacturing factory in Huaibei City. The prevalence of WMSDs was investigated by a modified Chinese version of the questionnaire based on the Nordic Musculoskeletal Questionnaire and the Dutch Musculoskeletal Questionnaire. The risk factors of WMSDs were explored by structural equation modeling and multiplicative interaction models based on logistic regression. Results: The prevalence of WMSDs among workers from a machinery manufacturing factory was 86.28%, with the highest prevalence of lower back pain (62.38%) and the lowest prevalence of thigh/hip joint (26.99%) among the nine affected areas. The structural equation models indicated a negative correlation between body postures in work and musculoskeletal health, regardless of static, dynamic, or combined static-dynamic work. The multiplicative interaction model showed that the duration and frequency of lateral head bending were negatively associated with neck health (odds ratio [OR]: 0.071, 95% confidence interval [CI]: 0.018-0.281) and shoulder health (OR: 0.028, 95%CI: 0.001-0.692). Conclusion: The survey revealed the prevalence of WMSDs in a machinery equipment manufacturing factory reached 80%. This study combined structural equation modeling with multiplicative interaction to explore the relationships between WMSDs and poor ergonomic postures under dynamic, static, and combined dynamic-static working conditions. The results demonstrated a negative association between poor ergonomic postures and musculoskeletal health. In the future, intervention studies targeting poor ergonomic postures will be critical for the prevention of WMSDs.

Indexed as

Dynamic and static tasksMachinery manufacturing workersPoor ergonomic posturesStructural equation models (SEM)Work-related musculoskeletal disorders (WMSDs)

Identifiers

PMID42382203
PMCPMC13315987

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.