Evidence map›Paper›PMID 36011689›Full record

ArticleInternational journal of environmental research and public health2022

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

Bernard Yeboah-Asiamah Asare, Marshall Makate, Daniel Powell, Dominika Kwasnicka, Suzanne Robinson

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. The Work Productivity and Activity Impairment (WPAI) questionnaire.Occupational medicine (Oxford, England) · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Bernard Yeboah-Asiamah AsareCurtin School of Population Health, Curtin University, Kent Street, Perth 6102, Australia.ORCID 0000-0002-1381-4981
Marshall MakateCurtin School of Population Health, Curtin University, Kent Street, Perth 6102, Australia.ORCID 0000-0002-2005-2970
Daniel PowellHealth Psychology, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK.ORCID 0000-0003-4995-6057
Dominika KwasnickaFaculty of Psychology, SWPS University of Social Sciences and Humanities, Aleksandra Ostrowskiego 30b, 53-238 Wroclaw, Poland.ORCID 0000-0002-5961-837X
Suzanne RobinsonCurtin School of Population Health, Curtin University, Kent Street, Perth 6102, Australia.ORCID 0000-0001-5703-6475
University of Aberdeen · GBCurtin University · AUDeakin University · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DipteraAbsenteeismAnimalsAustraliaEfficiencyPresenteeismabsenteeismFIFOhealthminingpresenteeismproductivity loss

Identifiers

PMID36011689
PMCPMC9408090
OpenAlexW4292056890

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.