Prevalence of upper extremity musculoskeletal symptoms and ergonomic risk factors at a Hi-Tech company in Israel

Shuval, Kerem; Donchin, Milka

doi:10.1016/j.ergon.2005.01.004

Cited by 66 publications

(40 citation statements)

References 32 publications

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“…The correspondence with all these methods has been moderate at best, but it remains unknown which method better reflects the underlying MSD risks for varying tasks (18). Higher RULA scores have shown an association with increased discomfort in laboratory studies (60,64) and with perceptions of MSD in two cross-sectional field studies (65,66). The inter-observer repeatability of RULA has been found to be good, although the methodological information on the repeatability studies is so scant that the quality thereof cannot be evaluated (60, 66).…”

Section: Rapid Upper-limb Assessment (Rula)mentioning

confidence: 99%

Systematic evaluation of observational methods assessing biomechanical exposures at work

Takala¹,

Pehkonen²,

Forsman³

et al. 2009

Scand J Work Environ Health

459

353

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Objectives This systematic review aimed to identify published observational methods assessing biomechanical exposures in occupational settings and evaluate them with reference to the needs of different users. MethodsWe searched scientific databases and the internet for material from 1965 to September 2008. Methods were included if they were primarily based on the systematic observation of work, the observation target was the human body, and the method was clearly described in the literature. A systematic evaluation procedure was developed to assess concurrent and predictive validity, repeatability, and aspects related to utility. At least two evaluators independently carried out this evaluation. ResultsWe identified 30 eligible observational methods. Of these, 19 had been compared with some other method(s), varying from expert evaluation to data obtained from video recordings or through the use of technical instruments. Generally, the observations showed moderate-to-good agreement with the corresponding assessments made from video recordings; agreement was the best for large-scale body postures and work actions. Postures of wrist and hand as well as trunk rotation seemed to be more difficult to observe correctly. Intra-and inter-observer repeatability were reported for 7 and 17 methods, respectively, and were judged mostly to be moderate or good.good. . ConclusionsWith training, observers can reach consistent results on clearly visible body postures and work activities. Many observational tools exist, but none evaluated in this study appeared to be generally superior. When selecting a method, users should define their needs and assess how results will influence decision-making.

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Section: Rapid Upper-limb Assessment (Rula)mentioning

confidence: 99%

Systematic evaluation of observational methods assessing biomechanical exposures at work

Takala¹,

Pehkonen²,

Forsman³

et al. 2009

Scand J Work Environ Health

459

353

View full text Add to dashboard Cite

show abstract

“…Shuval ve ark. kadın olmanın, gün-de 10 saatten fazla çalışmanın, gülük 7-9 saat bilgisayar kullanımın ve iş yerinde iki yıldan daha uzun süredir bilgisayar kullanımın İKİH açısından risk olduğunu belirtmiştir (8). Buna karşın yazılım programı ile bilgisayar kullanım süresi-nin kaydedildiği bir çalışmada ise kas iskelet sistemi semptomları arasında bir ilişki bulunamamıştır (24).…”

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Analyzing Musculoskeletal System Discomfort, Work Interference and Risk Factors of Office Workers with Computer Users

Atalay

Başkan

Gökçe

2013

MUSBED

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Bilgisayar kullanan masa başı çalışanlarında kas iskelet sistemi rahatsızlıkları, işin engellenmesi ve risk faktörlerinin incelenmesi Amaç: Bu çalışma bilgisayar kullanan masa başı çalışanlarında kas iskelet sistemi rahatsızlıklarının sıklığını, bu durumun işi engelleme durumu, kişisel ve bilgisayar ile ilişkili olası risk faktörlerini incelemek amacıyla planlanmıştır. Yöntem: Çalışmaya masa başında görev yapan 79 kişi (51 kadın, 28 erkek) dahil edildi. Kas iskelet sistemi rahatsızlıklarının sıklığını ve işin engellenmesini değerlendirmek için Cornell Musculoskeletal Discomfort Questionnaire ve ağrı şiddeti için Görsel Analog Skalası kullanıldı. Kişisel ve bilgisayarla ilişkili risk faktörleri kaydedildi. Bulgular: Kas İskelet Sistemi rahatsızlıklarının en sık sırt (%69,6), bel (%68,4), boyun (%67,1) ve sağ omuzda (%50,6) olduğu belirlendi. Bu bölgelerde ki rahatsızlığa bağlı işin engellenme oranı sırasıyla; %62, %62, %60,8 ve %55,7 idi. Günlük bilgisayar kullanım süresinin 4 saatten fazla olması bel bölgesi için, bilgisayar kullanılırken hissedilen fiziksel rahatsızlık hissi ve kadın olmak dört bölge için anlamlı farklılık oluşturdu. Sonuç: Masa başı çalışanlarında bilgisayar kullanımı ile en sık sırt, bel, boyun ve sağ omuz bölgeleri etkilenmiştir. Günlük bilgisayar kullanım süresi, bilgisayar kullanılırken hissedilen fiziksel rahatsızlık hissi ve kadın olmanın kas iskelet sistemi rahatsızlıkları üzerine etkili olduğu ve bu rahatsızlığa bağlı olarak çalışanlarının iş veriminin etkilendiği görülmüştür.

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“…Increased activity in the deltoid and trapezius muscles has been found when the use of a mouse has been compared with that of the keyboard, explaining the development of discomfort in the neck and shoulders. For the hand/wrist disorders, a combination of ergonomic risk factors (mechanical pressure on the soft tissue of the forearm and wrists) and work organizational factors (hours of keying a day) have been identified as risk factors (Shuval & Donchin, 2005). A possible explanation for the weak relationship between computer-related workload/ time duration and the musculoskeletal outcomes on the body regions of the forearm, fingers, and wrist in our study includes the lack of highly repetitive typing work.…”

Section: Resultsmentioning

confidence: 76%

Exploring time‐dependent symptom outcomes in office staff

Lü

Toivonen

Takala

2009

Hum Ftrs & Erg Mfg Svc

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This article illustrates the application of a new mathematical model developed for the study of time-dependent health outcomes for office staff during computer work. The model describes the timedependent associations of computer usage with outcomes expressed as discomfort in multiple body regions. The association is explicitly presented with a functional relationship that is parameterized by body regions. The validation of the model demonstrated accuracy in reproducing the observed quantities for the study population. Therefore, we used this model to assess the impact of computerrelated work exposure on discomfort in different body regions among office staff to better understand the behavior of musculoskeletal and other symptoms. The exposures and outcomes were recorded parallel in time as usage of keyboard and mouse and with diaries of discomfort. The body regions of neck/shoulders, eyes, head, shoulder joint/upper arm, and upper back were identified to have the highest discomfort levels and rates for the development of discomfort parallel with exposures. Most of our findings are consistent with the literature. The developed mathematical methodology may be used to understand how the human body reacts to computer work to further prevent potential musculoskeletal and other disorders. C 2009 Wiley Periodicals, Inc.

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Prevalence of upper extremity musculoskeletal symptoms and ergonomic risk factors at a Hi-Tech company in Israel

Cited by 66 publications

References 32 publications

Systematic evaluation of observational methods assessing biomechanical exposures at work

Systematic evaluation of observational methods assessing biomechanical exposures at work

Analyzing Musculoskeletal System Discomfort, Work Interference and Risk Factors of Office Workers with Computer Users

Exploring time‐dependent symptom outcomes in office staff

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