Evidence map›Paper›PMID 30571731›Full record

ArticlePloS one2018

Correlates of psychological distress among workers in the mining industry in remote Australia: Evidence from a multi-site cross-sectional survey.

Carole James, Ross Tynan, Della Roach, Lucy Leigh, Christopher Oldmeadow, Mijanur Rahman, Brian Kelly

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Psychological distress among workers at a mine.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Cost of Health-Related Work Productivity Loss among Fly-In Fly-Out Mining Workers in Australia.International journal of environmental research and public health · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. 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

7 authors at 3 institutions in 2 countries.

Carole JamesCentre for Resources Health and Safety, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia.ORCID 0000-0002-6321-9347
Ross TynanCentre for Resources Health and Safety, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia.
Della RoachCentre for Resources Health and Safety, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia.ORCID 0000-0002-3987-3007
Lucy LeighClinical Research Design and Statistics, Hunter Medical Research Institute, Newcastle, Australia.
Christopher OldmeadowClinical Research Design and Statistics, Hunter Medical Research Institute, Newcastle, Australia.
Mijanur RahmanPriority Research Centre for Generational Health and Ageing, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia.
Brian KellyCentre for Resources Health and Safety, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia.
University of Newcastle Australia · AUHunter Medical Research Institute · AUComilla University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to assess the prevalence of psychological distress in employees in the metalliferous mining industry in Australia, and to examine associated demographic, health, and workplace characteristics. A cross sectional survey was conducted among 1,799 participants from four metalliferous mines. Psychological distress was measured by the Kessler Psychological Distress Scale (K10), alongside other measures of personal demographics, health history, health behaviour, and workplace characteristics. Univariate and multivariate statistical methods were used to examine associations between psychological distress and personal and workplace characteristics. Levels of moderate to very high psychological distress were significantly higher in this sample (44.4%) compared to the general population (27.2%). Moderate to very high psychological distress was significantly associated with younger age; individual health factors (a prior history of depression, anxiety, or drug/alcohol problems); health behaviours (using illicit drugs in the last month); and a range of workplace factors (concern about losing their job; lower satisfaction with work; working shifts of over 12 hours duration; working in mining for financial reasons and social factors (poorer social networks). The identification of a number of social, personal and workplace factors associated with high psychological distress present useful targets to inform the development of tailored workplace interventions to reduce distress in metalliferous mine employees.

Indexed as

AdultAustraliaCross-Sectional StudiesFemaleHumansJob SatisfactionMaleMiddle AgedMinersPrevalenceShift Work ScheduleStress, PsychologicalSurveys and QuestionnairesWorkplaceYoung Adult

Identifiers

PMID30571731
PMCPMC6301627
OpenAlexW2905876106

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.