Evidence map›Paper›PMID 27717347›Full record

ArticleBMC musculoskeletal disorders2016

Associations between musculoskeletal pain and work-related factors among public service sector computer workers in Kaunas County, Lithuania.

Gintare Kaliniene, Ruta Ustinaviciene, Lina Skemiene, Vidmantas Vaiciulis, Paulius Vasilavicius

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  7. Workstation Risk Factors for Work-related Musculoskeletal Disorders Among IT Professionals in Indonesia.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024
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  13. Observational
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  17. Review
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  19. Musculoskeletal symptoms and work ability in a context of electronic judicial process.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT · 2021
    Article
  20. Impact of physical activity levels on musculoskeletal symptoms and absenteeism of workers of a metallurgical company.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT · 2021
    Article
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

5 authors.

Gintare KalinieneDepartment of Environmental and Occupational Medicine, Public Health Faculty, Lithuanian University of Health Sciences, Tilzes 18, Kaunas, LT-47181, Lithuania. gintare.kaliniene@lsmuni.lt.
Ruta UstinavicieneDepartment of Environmental and Occupational Medicine, Public Health Faculty, Lithuanian University of Health Sciences, Tilzes 18, Kaunas, LT-47181, Lithuania.
Lina SkemieneDepartment of Environmental and Occupational Medicine, Public Health Faculty, Lithuanian University of Health Sciences, Tilzes 18, Kaunas, LT-47181, Lithuania.
Vidmantas VaiciulisDepartment of Environmental and Occupational Medicine, Public Health Faculty, Lithuanian University of Health Sciences, Tilzes 18, Kaunas, LT-47181, Lithuania.
Paulius VasilaviciusDepartment of Environmental and Occupational Medicine, Public Health Faculty, Lithuanian University of Health Sciences, Tilzes 18, Kaunas, LT-47181, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation technologies in occupational activities have been developing very rapid. Epidemiological studies have shown that musculoskeletal disorders are widely prevalent among employees working with a computer. The aim of this study was to evaluate the prevalence of musculoskeletal pain in various anatomical areas and its associations with individual, ergonomic, and psychosocial factors among computer workers of the public sector in Kaunas County, Lithuania.

methodsThe investigation consisting of two parts - questionnaire study (Nordic Musculoskeletal Questionnaire and Copenhagen Psychosocial Questionnaire) and direct observation (evaluation of work ergonomics using the Rapid Upper Limb Assessment [RULA]) - was carried out in three randomly selected public sector companies of Kaunas County. The representative study sample comprised 513 public service office workers. The prevalence of musculoskeletal pain in five anatomical areas of the body (shoulders, elbows, wrists/hands, as well as upper and low back) was evaluated.

resultsThe prevalence rates of shoulder, elbow, wrist/hand, upper and low back pain were 50.5 %, 20.3 %, 26.3 %, 44.8 %, and 56.1 %, respectively. Individual factors such as gender, age, computer work experience, and body mass index were found as significant for musculoskeletal pain in various musculoskeletal regions. The respondents reporting pain in shoulder, wrist/hand, upper back, and low back areas had a statistically significantly higher mean RULA score. The duration of working with a computer was found as a significant factor for shoulder pain. High quantitative demands were related to musculoskeletal pain in all investigated anatomical areas expect for the low back; weak social support was a significant predictor for complaints in upper and low back areas.

conclusionThis study confirmed associations between musculoskeletal pain and work ergonomics; therefore, preventive measures at the workplace should be directed to the improvement in ergonomic work environment, education, and workload optimization.

Indexed as

ComputersAdultAgedErgonomicsFemaleHumansInformaticsLithuaniaMaleMiddle AgedMusculoskeletal PainOccupational ExposurePrevalencePublic SectorWorkforceYoung AdultComputer workErgonomicsMusculoskeletal painRULA

Identifiers

PMID27717347
PMCPMC5055679

What OpenQuestion holds

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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.