Literature DB >> 25766416

Influence of musculoskeletal pain on workers' ergonomic risk-factor assessments.

Marie-Ève Chiasson1, Daniel Imbeau2, Judy Major2, Karine Aubry2, Alain Delisle3.   

Abstract

This study compares the ergonomic risk-factor assessments of workers with and without musculoskeletal pain. A questionnaire on the musculoskeletal pain experienced in various body regions during the 12 months and seven days preceding the data collection was administered to 473 workers from three industrial sectors. The Ergonomic Workplace Analysis method, developed by the Finnish Institute of Occupational Health (FIOH), was then used by the workers and an ergonomics expert to assess the workstations. The ergonomic quality of the workstations and the need for change were also assessed by the expert and the workers at the workstation, using visual analog scales (VAS). Results show that the workers in this study were exposed to significant musculoskeletal disorder (MSD) risk factors, according to the FIOH assessment and the high percentages of reported pain. The results also show that those who reported pain in the seven days prior to the assessment evaluated their workstations more negatively than subjects who reported no pain, while the expert found no difference between the two groups' exposure to MSD risk factors.
Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Entities:  

Keywords:  MSD risk factors; Musculoskeletal pain; Self-assessment

Mesh:

Year:  2015        PMID: 25766416     DOI: 10.1016/j.apergo.2014.12.011

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


  6 in total

1.  Development of Modular and Adaptive Laboratory Set-Up for Neuroergonomic and Human-Robot Interaction Research.

Authors:  Marija Savković; Carlo Caiazzo; Marko Djapan; Arso M Vukićević; Miloš Pušica; Ivan Mačužić
Journal:  Front Neurorobot       Date:  2022-05-11       Impact factor: 3.493

2.  Factors influencing ergonomists' use of observation-based risk-assessment tools.

Authors:  Kristina Eliasson; Carl Mikael Lind; Teresia Nyman
Journal:  Work       Date:  2019

3.  Stochastic-Biomechanic Modeling and Recognition of Human Movement Primitives, in Industry, Using Wearables.

Authors:  Brenda Elizabeth Olivas-Padilla; Sotiris Manitsaris; Dimitrios Menychtas; Alina Glushkova
Journal:  Sensors (Basel)       Date:  2021-04-03       Impact factor: 3.576

4.  Osteomuscular symptoms on motorcycles in the city of Rio Branco, Acre, Brazil, West Amazon.

Authors:  Narjara Campos de Araújo; Orivaldo Florêncio de Souza; Mauro José de Deus Morais; Francisco Naildo Cardoso Leitão; Italla Maria Pinheiro Bezerra; Luiz Carlos de Abreu; Luciano Miller Reis Rodrigues
Journal:  Medicine (Baltimore)       Date:  2021-04-23       Impact factor: 1.817

5.  Association between muscle strength, upper extremity fatigue resistance, work ability and upper extremity dysfunction in a sample of workers at a tertiary hospital.

Authors:  Thaís Marques Fifolato; Heloísa Correa Bueno Nardim; Ester Rodrigues do Carmo Lopes; Karen A Kawano Suzuki; Natalia Claro da Silva; Felipe de Souza Serenza; Marisa C Registro Fonseca
Journal:  BMC Musculoskelet Disord       Date:  2021-06-01       Impact factor: 2.362

6.  A Lower Level of Physically Demanding Work Is Associated with Excellent Work Ability in Men and Women with Neck Pain in Different Age Groups.

Authors:  Stefan Oliv; Adnan Noor; Ewa Gustafsson; Mats Hagberg
Journal:  Saf Health Work       Date:  2017-04-06
  6 in total

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