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

Author

Listed:
  • Bernard Yeboah-Asiamah Asare

    (Curtin School of Population Health, Curtin University, Kent Street, Perth 6102, Australia
    Health Psychology, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK)

  • Marshall Makate

    (Curtin School of Population Health, Curtin University, Kent Street, Perth 6102, Australia)

  • Daniel Powell

    (Health Psychology, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
    Rowett Institute, University of Aberdeen, Aberdeen AB25 2ZD, UK)

  • Dominika Kwasnicka

    (Faculty of Psychology, SWPS University of Social Sciences and Humanities, Aleksandra Ostrowskiego 30b, 53-238 Wroclaw, Poland
    NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne School of Population and Global Health, University of Melbourne, 333 Exhibition Street, Melbourne 3000, Australia)

  • Suzanne Robinson

    (Curtin School of Population Health, Curtin University, Kent Street, Perth 6102, Australia
    Deakin Health Economics, Faculty of Health, Deakin University, Burwood 3125, Australia)

Abstract

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.

Suggested Citation

  • Bernard Yeboah-Asiamah Asare & Marshall Makate & Daniel Powell & Dominika Kwasnicka & Suzanne Robinson, 2022. "Cost of Health-Related Work Productivity Loss among Fly-In Fly-Out Mining Workers in Australia," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10056-:d:888342
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    References listed on IDEAS

    as
    1. Vojnovic, P & Michelson, G & Jackson, D & Bahn, S, 2014. "Adjustment, Well-being and Help-seeking Among Australian FIFO Mining Employees," Australian Bulletin of Labour, National Institute of Labour Studies, vol. 40(2), pages 242-261.
    2. Dong-Wook Lee & Jongin Lee & Hyoung-Ryoul Kim & Mo-Yeol Kang, 2021. "Health-Related Productivity Loss According to Health Conditions among Workers in South Korea," IJERPH, MDPI, vol. 18(14), pages 1-11, July.
    3. Margherita d’Errico & Milena Pavlova & Federico Spandonaro, 2022. "The economic burden of obesity in Italy: a cost-of-illness study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 177-192, March.
    4. Federico Belotti & Partha Deb & Willard G. Manning & Edward C. Norton, 2015. "twopm: Two-part models," Stata Journal, StataCorp LP, vol. 15(1), pages 3-20, March.
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