Assessment of physical work demand of short distance industrial gas delivery truck drivers.


Journal

Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 22 08 2019
revised: 30 04 2020
accepted: 11 07 2020
pubmed: 10 8 2020
medline: 8 6 2021
entrez: 10 8 2020
Statut: ppublish

Résumé

This study assessed the work-related physical demands of short-distance truck drivers employed by a large gas delivery company in Canada. A total of 19 truck drivers participated in the data collection, which included a combination of self-reports, field observations and direct measurements to report on the work shift task composition, postures, physical workload, and force exertions. Driving (mean of 43% of daily work shift) and delivering gas cylinders to customers (28%) were the main tasks of the truck drivers. Delivering gas cylinders measured as moderate level work and daily work duration was not excessive with respect to mean cardiac strain for most drivers. However, manual handling and force exertion activities were frequent and deemed unsafe most of the time with respect to existing guidelines on manual materials handling. This study documents physical risk factors that are consistent with musculoskeletal pain prevalence reported for short-distance truck drivers.

Identifiants

pubmed: 32768720
pii: S0003-6870(20)30173-3
doi: 10.1016/j.apergo.2020.103222
pii:
doi:

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103222

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Firdaous Sekkay (F)

Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, Canada. Electronic address: firdaous.sekkay@polymtl.ca.

Daniel Imbeau (D)

Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, Canada.

Philippe-Antoine Dubé (PA)

Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, Canada.

Yuvin Chinniah (Y)

Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, Canada.

Nathalie de Marcellis-Warin (N)

Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, Canada.

Nancy Beauregard (N)

School of Industrial Relations, University of Montreal, Montreal, Canada.

Martin Trépanier (M)

Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, Canada.

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Classifications MeSH