IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i16p10056-d888342.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/16/10056/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/16/10056/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael Essman & Lindsey Smith Taillie & Tamryn Frank & Shu Wen Ng & Barry M Popkin & Elizabeth C Swart, 2021. "Taxed and untaxed beverage intake by South African young adults after a national sugar-sweetened beverage tax: A before-and-after study," PLOS Medicine, Public Library of Science, vol. 18(5), pages 1-17, May.
    2. Schoeni, Robert F. & Cho, Tsai-Chin & Choi, HwaJung, 2022. "Close enough? Adult child-to-parent caregiving and residential proximity," Social Science & Medicine, Elsevier, vol. 292(C).
    3. Ermagun, Alireza & Stathopoulos, Amanda, 2018. "To bid or not to bid: An empirical study of the supply determinants of crowd-shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 468-483.
    4. Caballer-Tarazona, Vicent & Guadalajara-Olmeda, Natividad & Vivas-Consuelo, David, 2019. "Predicting healthcare expenditure by multimorbidity groups," Health Policy, Elsevier, vol. 123(4), pages 427-434.
    5. Braun, Lindsay M. & Rodriguez, Daniel A. & Gordon-Larsen, Penny, 2019. "Social (in)equity in access to cycling infrastructure: Cross-sectional associations between bike lanes and area-level sociodemographic characteristics in 22 large U.S. cities," Journal of Transport Geography, Elsevier, vol. 80(C).
    6. Marwan Benali & Bernhard Brümmer & Victor Afari‐Sefa, 2018. "Smallholder participation in vegetable exports and age‐disaggregated labor allocation in Northern Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 549-562, September.
    7. Villalobos, Laura & Caviglia-Harris, Jill & Jayalath, Tharaka, 2023. "Replicating: "Playing Politics with Environmental Protection: The Political Economy of Designating Protected Areas"," I4R Discussion Paper Series 73, The Institute for Replication (I4R).
    8. Bruneel, Stijn & Verhelst, Pieterjan & Reubens, Jan & Luca, Stijn & Coeck, Johan & Moens, Tom & Goethals, Peter, 2020. "Combining disciplines: Dealing with observed and cryptic animal residencies in passive telemetry data by applying econometric decision-making models," Ecological Modelling, Elsevier, vol. 438(C).
    9. Clara Bermudez-Tamayo & Stéphane Besançon & Mira Johri & Sidibe Assa & Jonathan Betz Brown & Kaushik Ramaiya, 2017. "Direct and indirect costs of diabetes mellitus in Mali: A case-control study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    10. Kruse, Hendrik W. & Martínez-Zarzoso, Inma & Baghdadi, Leila, 2021. "Standards and political connections: Evidence from Tunisia," Journal of Development Economics, Elsevier, vol. 153(C).
    11. Nguyen, Quyen T.K. & Almodóvar, Paloma & Wei, Ziyi, 2022. "Intra-firm and arm’s length export propensity and intensity of MNE foreign subsidiaries," Journal of Business Research, Elsevier, vol. 145(C), pages 288-308.
    12. Lancee, Bora & Rossel, Lucia & Kasper, Matthias, 2023. "When the agency wants too much: Experimental evidence on unfair audits and tax compliance," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 406-442.
    13. Emily Johnston Ross & Lynn Shibut, 2021. "Loss Given Default, Loan Seasoning and Financial Fragility: Evidence from Commercial Real Estate Loans at Failed Banks," The Journal of Real Estate Finance and Economics, Springer, vol. 63(4), pages 630-661, November.
    14. Alfred K. Mukong & Ernest N. Tingum, 2018. "The Demand for Cigarettes: New Evidence from South Africa," Working Papers 745, Economic Research Southern Africa.
    15. Mandikiana, Brian W., 2021. "Choice and expenditure: A double hurdle model of private tutoring in Qatar," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 1-15.
    16. Blackman, Allen & Qin, Ping & Yang, Jun, 2020. "How costly are driving restrictions? Contingent valuation evidence from Beijing," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    17. Kaushik Ghosh & Irina Bondarenko & Kassandra L Messer & Susan T Stewart & Trivellore Raghunathan & Allison B Rosen & David M Cutler, 2020. "Attributing medical spending to conditions: A comparison of methods," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    18. Neubert, Lydia & König, Hans-Helmut & Löbner, Margrit & Luppa, Melanie & Pentzek, Michael & Fuchs, Angela & Weeg, Dagmar & Bickel, Horst & Oey, Anke & Wiese, Birgitt & Weyerer, Siegfried & Werle, Joch, 2021. "Excess costs of dementia in old age (85+) in Germany: Results from the AgeCoDe-AgeQualiDe study," The Journal of the Economics of Ageing, Elsevier, vol. 20(C).
    19. Han, Dan, 2023. "The impact of the 340B Drug Pricing Program on Critical Access Hospitals: Evidence from Medicare Part B," Journal of Health Economics, Elsevier, vol. 89(C).
    20. Brettschneider, Christian & Hajek, Andre & Röhr, Susanne & Fuchs, Angela & Weeg, Dagmar & Mamone, Silke & Werle, Jochen & Heser, Kathrin & Mallon, Tina & Stein, Janine & Pentzek, Michael & Bickel, Hor, 2019. "Determinants of health-care costs in the oldest-old in Germany," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10056-:d:888342. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.