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Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models

OBJECTIVES: Repetitive manual handling tasks account for a substantial portion of work-related injuries. However, few studies report endurance time in repetitive manual handling tasks. Consequently, there is little guidance to inform expected work time for repetitive manual handling tasks. We aimed...

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Autores principales: Beck, Ben, Ham, Daniel J., Best, Stuart A., Carstairs, Greg L., Savage, Robert J., Straney, Lahn, Caldwell, Joanne N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933391/
https://www.ncbi.nlm.nih.gov/pubmed/27379902
http://dx.doi.org/10.1371/journal.pone.0158418
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author Beck, Ben
Ham, Daniel J.
Best, Stuart A.
Carstairs, Greg L.
Savage, Robert J.
Straney, Lahn
Caldwell, Joanne N.
author_facet Beck, Ben
Ham, Daniel J.
Best, Stuart A.
Carstairs, Greg L.
Savage, Robert J.
Straney, Lahn
Caldwell, Joanne N.
author_sort Beck, Ben
collection PubMed
description OBJECTIVES: Repetitive manual handling tasks account for a substantial portion of work-related injuries. However, few studies report endurance time in repetitive manual handling tasks. Consequently, there is little guidance to inform expected work time for repetitive manual handling tasks. We aimed to investigate endurance time and oxygen consumption of a repetitive lift and carry task using linear mixed models. METHODS: Fourteen male soldiers (age 22.4 ± 4.5 yrs, height 1.78 ± 0.04 m, body mass 76.3 ± 10.1 kg) conducted four assessment sessions that consisted of one maximal box lifting session and three lift and carry sessions. The relationships between carry mass (range 17.5–37.5 kg) and the duration of carry, and carry mass and oxygen consumption, were assessed using linear mixed models with random effects to account for between-subject variation. RESULTS: Results demonstrated that endurance time was inversely associated with carry mass (R(2) = 0.24), with significant individual-level variation (R(2) = 0.85). Normalising carry mass to performance in a maximal box lifting test improved the prediction of endurance time (R(2) = 0.40). Oxygen consumption presented relative to total mass (body mass, external load and carried mass) was not significantly related to lift and carry mass (β(1) = 0.16, SE = 0.10, 95%CI: -0.04, 0.36, p = 0.12), indicating that there was no change in oxygen consumption relative to total mass with increasing lift and carry mass. CONCLUSION: Practically, these data can be used to guide work-rest schedules and provide insight into methods assessing the physical capacity of workers conducting repetitive manual handling tasks.
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spelling pubmed-49333912016-07-18 Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models Beck, Ben Ham, Daniel J. Best, Stuart A. Carstairs, Greg L. Savage, Robert J. Straney, Lahn Caldwell, Joanne N. PLoS One Research Article OBJECTIVES: Repetitive manual handling tasks account for a substantial portion of work-related injuries. However, few studies report endurance time in repetitive manual handling tasks. Consequently, there is little guidance to inform expected work time for repetitive manual handling tasks. We aimed to investigate endurance time and oxygen consumption of a repetitive lift and carry task using linear mixed models. METHODS: Fourteen male soldiers (age 22.4 ± 4.5 yrs, height 1.78 ± 0.04 m, body mass 76.3 ± 10.1 kg) conducted four assessment sessions that consisted of one maximal box lifting session and three lift and carry sessions. The relationships between carry mass (range 17.5–37.5 kg) and the duration of carry, and carry mass and oxygen consumption, were assessed using linear mixed models with random effects to account for between-subject variation. RESULTS: Results demonstrated that endurance time was inversely associated with carry mass (R(2) = 0.24), with significant individual-level variation (R(2) = 0.85). Normalising carry mass to performance in a maximal box lifting test improved the prediction of endurance time (R(2) = 0.40). Oxygen consumption presented relative to total mass (body mass, external load and carried mass) was not significantly related to lift and carry mass (β(1) = 0.16, SE = 0.10, 95%CI: -0.04, 0.36, p = 0.12), indicating that there was no change in oxygen consumption relative to total mass with increasing lift and carry mass. CONCLUSION: Practically, these data can be used to guide work-rest schedules and provide insight into methods assessing the physical capacity of workers conducting repetitive manual handling tasks. Public Library of Science 2016-07-05 /pmc/articles/PMC4933391/ /pubmed/27379902 http://dx.doi.org/10.1371/journal.pone.0158418 Text en © 2016 Beck et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Beck, Ben
Ham, Daniel J.
Best, Stuart A.
Carstairs, Greg L.
Savage, Robert J.
Straney, Lahn
Caldwell, Joanne N.
Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models
title Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models
title_full Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models
title_fullStr Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models
title_full_unstemmed Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models
title_short Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models
title_sort predicting endurance time in a repetitive lift and carry task using linear mixed models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933391/
https://www.ncbi.nlm.nih.gov/pubmed/27379902
http://dx.doi.org/10.1371/journal.pone.0158418
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