Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1782441169022615552 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4933391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT beckben predictingendurancetimeinarepetitiveliftandcarrytaskusinglinearmixedmodels AT hamdanielj predictingendurancetimeinarepetitiveliftandcarrytaskusinglinearmixedmodels AT beststuarta predictingendurancetimeinarepetitiveliftandcarrytaskusinglinearmixedmodels AT carstairsgregl predictingendurancetimeinarepetitiveliftandcarrytaskusinglinearmixedmodels AT savagerobertj predictingendurancetimeinarepetitiveliftandcarrytaskusinglinearmixedmodels AT straneylahn predictingendurancetimeinarepetitiveliftandcarrytaskusinglinearmixedmodels AT caldwelljoannen predictingendurancetimeinarepetitiveliftandcarrytaskusinglinearmixedmodels |