Evidence map›Paper›PMID 40761723›Full record

ArticleIndian journal of occupational and environmental medicine

Health Risk Predicted Matrix of MSDs Risk Assessment in Electronic Industrial Workers of Winding Process.

Pornpailin Tidaoon, Sunisa Chaiklieng

Abstract read
In one paragraph

Article in Indian journal of occupational and environmental medicine. 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

2 authors.

Pornpailin TidaoonMaster of Science Program in Occupational Health and Safety, Khon Kaen University, Khon Kaen, Thailand.
Sunisa ChaikliengDepartment of Environmental Health Occupational Health and Safety, Khon Kaen University, Khon Kaen, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The electronics assembly industry is continuously expanding, and the toroidal winding process exacerbates musculoskeletal disorders (MSDs) due to exposure to ergonomic risk factors. Aim: The objectives of this study were to assess the ergonomic risk and health risks of MSDs among workers in the toroidal winding electronics assembly industry. Materials and Methods: The cross-sectional descriptive study included 46 workers in one electronics winding assembly industry in Northeast Thailand who met the inclusion criteria of having work experience of at least 6 months and working at least 8 hours a day The data were collected using a self-assessment MSDs Severity and Frequency Questionnaire (MSFQ), ergonomic risk assessment for standing posture via applied Rapid Entire Body Assessment (REBA) and for sitting posture via applied Rapid Upper Limb Assessment (RULA), as well as a health risk matrix for MSDs risk assessment. Results: In the winding process without using the machine, workers predominantly experienced body discomfort in the shoulders and upper back, while in the winding process with the machine, this discomfort shifted to the shoulders and lower back. The ergonomic risk for the standing posture was at the highest level of risk, level 4, while the sitting posture was at level 3. The analysis of the MSDs risk matrix showed that workers winding without the machine were at a very high health risk level (65.22%), whereas workers winding with the machine were also at a very high health risk level (60.87%). Conclusion: The health risk matrix for the prediction of MSDs is very useful in MSD surveillance programs among workers in the toroidal winding industry.

Indexed as

Electronic workersergonomicMSD risk matrixmusculoskeletal disorder

Identifiers

PMID40761723
PMCPMC12318548

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.