Literature DB >> 20331923

Comparison of ergonomic risk assessment output in four sawmill jobs.

Troy Jones1, Shrawan Kumar.   

Abstract

The objectives of this study were to examine the agreement between 5 ergonomic risk assessment methods calculated on the basis of quantitative exposure measures and to examine the ability of the methods to correctly classify 4 at risk jobs. Surface electromyography and electrogoniometry were used to record the physical exposures of 87 sawmill workers performing 4 repetitive jobs. Five ergonomic risk assessment tools (rapid upper limb assessment [RULA], rapid entire body assessment [REBA], American conference of governmental industrial hygienist's threshold limit value for mono-task hand work [ACGIH TLV], strain index [SI], and concise exposure index [OCRA]) were calculated. Dichotomization of risk to no risk and at risk resulted in high agreement between methods. Percentage of perfect agreement between methods when 3 levels of risk were considered was moderate and varied by job. Of the methods examined, the RULA and SI were best (correct classification rates of 99 and 97% respectively). The quantitative ACGIH-TLV for mono-task hand work and Borg scale were worst (misclassification rates of 86 and 28% respectively).

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Year:  2010        PMID: 20331923     DOI: 10.1080/10803548.2010.11076834

Source DB:  PubMed          Journal:  Int J Occup Saf Ergon        ISSN: 1080-3548


  8 in total

1.  Exploring physical exposures and identifying high-risk work tasks within the floor layer trade.

Authors:  Jamie McGaha; Kim Miller; Alexis Descatha; Laurie Welch; Bryan Buchholz; Bradley Evanoff; Ann Marie Dale
Journal:  Appl Ergon       Date:  2013-11-23       Impact factor: 3.661

2.  Wearable Monitoring Devices for Biomechanical Risk Assessment at Work: Current Status and Future Challenges-A Systematic Review.

Authors:  Ranavolo Alberto; Francesco Draicchio; Tiwana Varrecchia; Alessio Silvetti; Sergio Iavicoli
Journal:  Int J Environ Res Public Health       Date:  2018-09-13       Impact factor: 3.390

3.  Development and Validation of a Wearable Inertial Sensors-Based Automated System for Assessing Work-Related Musculoskeletal Disorders in the Workspace.

Authors:  Chunxi Huang; Woojoo Kim; Yanxin Zhang; Shuping Xiong
Journal:  Int J Environ Res Public Health       Date:  2020-08-20       Impact factor: 3.390

4.  Importance of Work-Related Psychosocial Factors in Exertion Perception Using the Borg Scale Among Workers Subjected to Heavy Physical Work.

Authors:  Emma Sala; Nicola Francesco Lopomo; Cesare Tomasi; Francesco Romagnoli; Alberto Morotti; Pietro Apostoli; Giuseppe De Palma
Journal:  Front Public Health       Date:  2021-04-29

Review 5.  Systematic Comparison of OWAS, RULA, and REBA Based on a Literature Review.

Authors:  Dohyung Kee
Journal:  Int J Environ Res Public Health       Date:  2022-01-05       Impact factor: 3.390

6.  Action Levels for the Prevention of Work-Related Musculoskeletal Disorders in the Neck and Upper Extremities: A Proposal.

Authors:  Inger Arvidsson; Camilla Dahlqvist; Henrik Enquist; Catarina Nordander
Journal:  Ann Work Expo Health       Date:  2021-08-05       Impact factor: 2.179

7.  Comparison of risk assessment procedures used in OCRA and ULRA methods.

Authors:  Danuta Roman-Liu; Anna Groborz; Tomasz Tokarski
Journal:  Ergonomics       Date:  2013-09-16       Impact factor: 2.778

Review 8.  An Overview of REBA Method Applications in the World.

Authors:  Manuel Hita-Gutiérrez; Marta Gómez-Galán; Manuel Díaz-Pérez; Ángel-Jesús Callejón-Ferre
Journal:  Int J Environ Res Public Health       Date:  2020-04-12       Impact factor: 3.390

  8 in total

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