Evidence map›Paper›PMID 25207064›Full record

ArticleBalkan medical journal2013

Work-related musculoskeletal disorders at two textile factories in edirne, Turkey.

Ufuk Berberoğlu, Burcu Tokuç

Open access · diamondAbstract read
In one paragraph

Article in Balkan medical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
0.8field-weighted citation impact, top 25% of its field
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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
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  14. Musculoskeletal Risks: RULA Bibliometric Review.International journal of environmental research and public health · 2020
    Review
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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 at 1 institution in 1 country.

Ufuk BerberoğluDepartment of Public Health, Faculty of Medicine, Trakya University, Edirne, Turkey.
Burcu TokuçDepartment of Public Health, Faculty of Medicine, Trakya University, Edirne, Turkey.
Trakya University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective"Work-related musculoskeletal disorders" (WMSDs) is a term used to describe a painful or disabling injury to the muscles, tendons or nerves caused or aggravated by work. WMSDs are preventable or at least can be delayed. The aim of this study to determine the work related musculo-skeletal disorders and risk levels of the these factory workers. STUDY

designCross sectional study. MATERIAL AND

methodsThis is a cross-sectional study conducted at two textile factories in Edirne, Turkey and it involved 381 workers. The questionnaire used for data collection consisted of two parts. The first part described some socio-demographic features, working conditions and health problems of workers in the previous four weeks. In the second part, a Rapid Upper Limb Assessment (RULA) Employer Assessment worksheet was used.

resultsIn the assessment of the upper limbs of the workers, the arm/wrist score (AWS) is 5.9±1.7 (3-11); neck, trunk, legs score (NTLS) is 5.3±2.5 (3-11); and total score (TS) is 5.5±1.3 (3-7). The ages of the workers are significantly associated with higher RULA scores (r=0.207, p=0.000). AWS, NTLS and TS of the women workers were found to be statistically significantly lower than for the men.

conclusionMusculoskeletal disorders are a common problem among textile workers. Employers can prevent WMSD hazards by properly designing the jobs or workstations and selecting the appropriate tools or equipment.

Indexed as

ergonomicsupper limbWork-related musculoskeletal disorders

Identifiers

PMID25207064
PMCPMC4116035
OpenAlexW2027906203

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.