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Cost of Health-Related Work Productivity Loss among Fly-In Fly-Out Mining Workers in Australia

Sufficient knowledge on the work productivity impact of the health of fly-in fly-out (FIFO) workers in the mining sector in Australia is lacking. This study examined the impact of health and lifestyle behaviours on the work productivity of FIFO workers in the mining industry in Australia. FIFO worke...

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Autores principales: Asare, Bernard Yeboah-Asiamah, Makate, Marshall, Powell, Daniel, Kwasnicka, Dominika, Robinson, Suzanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408090/
https://www.ncbi.nlm.nih.gov/pubmed/36011689
http://dx.doi.org/10.3390/ijerph191610056
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author Asare, Bernard Yeboah-Asiamah
Makate, Marshall
Powell, Daniel
Kwasnicka, Dominika
Robinson, Suzanne
author_facet Asare, Bernard Yeboah-Asiamah
Makate, Marshall
Powell, Daniel
Kwasnicka, Dominika
Robinson, Suzanne
author_sort Asare, Bernard Yeboah-Asiamah
collection PubMed
description Sufficient knowledge on the work productivity impact of the health of fly-in fly-out (FIFO) workers in the mining sector in Australia is lacking. This study examined the impact of health and lifestyle behaviours on the work productivity of FIFO workers in the mining industry in Australia. FIFO workers completed an online questionnaire on health and work productivity loss measures. Linear regressions were used to model annual work productivity losses through absenteeism, presenteeism and total productivity loss. Workers with a high risk for health conditions were, on average, associated with 3.87% more productivity loss (absenteeism: 1.27% and presenteeism: 2.88%) than those with low risk. Workers who had multiple health risks classified as medium (3–4 health conditions) and high (5 or more health conditions) reported 1.75% and 7.46% more total productivity loss, respectively, than those with fewer multiple health risks (0–2 health conditions). Health conditions were estimated to account for an annual additional productivity cost due to absenteeism of AUD 8.82 million, presenteeism of AUD 14.08 million and a total productivity loss of AUD 20.96 million per 1000 workers. FIFO workers with high health risks experience more absenteeism, presenteeism and overall productivity loss. These measures provide strong economic justifications that could support the need for targeted workplace health interventions.
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spelling pubmed-94080902022-08-26 Cost of Health-Related Work Productivity Loss among Fly-In Fly-Out Mining Workers in Australia Asare, Bernard Yeboah-Asiamah Makate, Marshall Powell, Daniel Kwasnicka, Dominika Robinson, Suzanne Int J Environ Res Public Health Article Sufficient knowledge on the work productivity impact of the health of fly-in fly-out (FIFO) workers in the mining sector in Australia is lacking. This study examined the impact of health and lifestyle behaviours on the work productivity of FIFO workers in the mining industry in Australia. FIFO workers completed an online questionnaire on health and work productivity loss measures. Linear regressions were used to model annual work productivity losses through absenteeism, presenteeism and total productivity loss. Workers with a high risk for health conditions were, on average, associated with 3.87% more productivity loss (absenteeism: 1.27% and presenteeism: 2.88%) than those with low risk. Workers who had multiple health risks classified as medium (3–4 health conditions) and high (5 or more health conditions) reported 1.75% and 7.46% more total productivity loss, respectively, than those with fewer multiple health risks (0–2 health conditions). Health conditions were estimated to account for an annual additional productivity cost due to absenteeism of AUD 8.82 million, presenteeism of AUD 14.08 million and a total productivity loss of AUD 20.96 million per 1000 workers. FIFO workers with high health risks experience more absenteeism, presenteeism and overall productivity loss. These measures provide strong economic justifications that could support the need for targeted workplace health interventions. MDPI 2022-08-15 /pmc/articles/PMC9408090/ /pubmed/36011689 http://dx.doi.org/10.3390/ijerph191610056 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Asare, Bernard Yeboah-Asiamah
Makate, Marshall
Powell, Daniel
Kwasnicka, Dominika
Robinson, Suzanne
Cost of Health-Related Work Productivity Loss among Fly-In Fly-Out Mining Workers in Australia
title Cost of Health-Related Work Productivity Loss among Fly-In Fly-Out Mining Workers in Australia
title_full Cost of Health-Related Work Productivity Loss among Fly-In Fly-Out Mining Workers in Australia
title_fullStr Cost of Health-Related Work Productivity Loss among Fly-In Fly-Out Mining Workers in Australia
title_full_unstemmed Cost of Health-Related Work Productivity Loss among Fly-In Fly-Out Mining Workers in Australia
title_short Cost of Health-Related Work Productivity Loss among Fly-In Fly-Out Mining Workers in Australia
title_sort cost of health-related work productivity loss among fly-in fly-out mining workers in australia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408090/
https://www.ncbi.nlm.nih.gov/pubmed/36011689
http://dx.doi.org/10.3390/ijerph191610056
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