Literature DB >> 23849897

Comparison of concepts in easy-to-use methods for MSD risk assessment.

Danuta Roman-Liu1.   

Abstract

This article presents a comparative analysis of easy-to-use methods for assessing musculoskeletal load and the risk for developing musculoskeletal disorders. In all such methods, assessment of load consists in defining input data, the procedure and the system of assessment. This article shows what assessment steps the methods have in common; it also shows how those methods differ in each step. In addition, the methods are grouped according to their characteristic features. The conclusion is that the concepts of assessing risk in different methods can be used to develop solutions leading to a comprehensive method appropriate for all work tasks and all parts of the body. However, studies are necessary to verify the accepted premises and to introduce some standardization that would make consolidation possible.
Copyright © 2013 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Entities:  

Keywords:  Assessment methods; Muscle load; Musculoskeletal disorders

Mesh:

Year:  2013        PMID: 23849897     DOI: 10.1016/j.apergo.2013.05.010

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  14 in total

Review 1.  Evaluation of the Impact of the Revised National Institute for Occupational Safety and Health Lifting Equation.

Authors:  Ming-Lun Lu; Vern Putz-Anderson; Arun Garg; Kermit G Davis
Journal:  Hum Factors       Date:  2016-01-28       Impact factor: 2.888

2.  Requirements for more effective prevention of work-related musculoskeletal disorders.

Authors:  Wendy Macdonald; Jodi Oakman
Journal:  BMC Musculoskelet Disord       Date:  2015-10-14       Impact factor: 2.362

Review 3.  Musculoskeletal disorders: OWAS review.

Authors:  Marta Gómez-Galán; José Pérez-Alonso; Ángel-Jesús Callejón-Ferre; Javier López-Martínez
Journal:  Ind Health       Date:  2017-05-09       Impact factor: 2.179

4.  A kinematic posture analysis of neurological assistants in their daily working practice-a pilot study.

Authors:  Bijanzadeh Anne; Hermanns Ingo; Ellegast Rolf; Laura Fraeulin; Holzgreve Fabian; Stefanie Mache; David A Groneberg; Ohlendorf Daniela
Journal:  J Occup Med Toxicol       Date:  2020-12-09       Impact factor: 2.646

5.  Comparing the Effectiveness of Three Ergonomic Risk Assessment Methods-RULA, LUBA, and NERPA-to Predict the Upper Extremity Musculoskeletal Disorders.

Authors:  Saeid Yazdanirad; Amir Hossein Khoshakhlagh; Ehsanollah Habibi; Asma Zare; Mohammad Zeinodini; Fatemeh Dehghani
Journal:  Indian J Occup Environ Med       Date:  2018 Jan-Apr

Review 6.  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

7.  Occupational Risk Evaluation Through Infrared Thermography: Development and Proposal of a Rapid Screening Tool for Risk Assessment Arising from Repetitive Actions of the Upper Limbs.

Authors:  André Luiz Soares; Antonio Augusto de Paula Xavier; Ariel Orlei Michaloski
Journal:  Int J Environ Res Public Health       Date:  2020-05-13       Impact factor: 3.390

8.  The APHIRM toolkit: an evidence-based system for workplace MSD risk management.

Authors:  Jodi Oakman; Wendy Macdonald
Journal:  BMC Musculoskelet Disord       Date:  2019-10-30       Impact factor: 2.362

9.  An Evaluation of Posture Recognition Based on Intelligent Rapid Entire Body Assessment System for Determining Musculoskeletal Disorders.

Authors:  Ze Li; Ruiqiu Zhang; Ching-Hung Lee; Yu-Chi Lee
Journal:  Sensors (Basel)       Date:  2020-08-07       Impact factor: 3.576

10.  Whole body biomechanical burden of healthcare workers: proposal for a complementary risk assessment and management tool (HOARA).

Authors:  Alessandro Baracco; Maurizio Coggiola; Davide Bosio; Ferruccio Perrelli; Giacomo Garzaro; Veronica Turcu; Enrico Pira
Journal:  Med Lav       Date:  2019-10-29       Impact factor: 1.275

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