Assessment of physical work demands of long-distance industrial gas delivery truck drivers.

Industrial gas delivery Long-distance truck drivers MSD Over-exertion Physical workload

Journal

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

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 31 05 2019
revised: 16 07 2020
accepted: 17 07 2020
pubmed: 20 8 2020
medline: 19 8 2021
entrez: 20 8 2020
Statut: ppublish

Résumé

The aim of this study was to assess the work-related physical demands of long-distance truck drivers employed by a large gas delivery company in Canada. A total of 15 truck drivers participated in a data collection that included self-reporting assessments, field observations, and direct measurements to describe daily tasks organization, postural demands, physical workload, and force exertions. Truck drivers' work was characterized by long working days ranging from 9.9 to 15.1 h (mean = 11.4 h), with half (49%) of the total working time spent behind the wheel. The overall workload as measured by relative cardiac strain (18.7% RHR) was found excessive for the long term given the shift duration. Peaks of heart rate in excess of 30 beats per minute above the daily average occurred mainly while operating valves and handling heavy hoses during gas deliveries. The task of delivering gas at a client's site required a moderate work rate on average (8.3 mlO Based on multiple data sources, this study highlights the risks of over-exertion and of excessive physical fatigue in the truck drivers' work that are coherent with the high prevalence of self-reported musculoskeletal pain in this group of workers.

Identifiants

pubmed: 32814182
pii: S0003-6870(20)30176-9
doi: 10.1016/j.apergo.2020.103224
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103224

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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