Evidence map›Paper›PMID 35162230›Full record

ArticleInternational journal of environmental research and public health2022

Mapping the Morbidity Risk Associated with Coal Mining in Queensland, Australia.

Javier Cortes-Ramirez, Darren Wraith, Peter D Sly, Paul Jagals

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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. The public health impacts of mining in Australia.The Medical journal of Australia · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

4 authors at 2 institutions in 1 country.

Javier Cortes-RamirezSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD 4059, Australia.ORCID 0000-0002-5876-165X
Darren WraithSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD 4059, Australia.ORCID 0000-0001-8755-6471
Peter D SlyChildren's Health and Environment Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD 4101, Australia.
Paul JagalsChildren's Health and Environment Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD 4101, Australia.ORCID 0000-0002-5839-698X
Queensland University of Technology · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The populations in the vicinity of surface coal mining activities have a higher risk of morbidity due to diseases, such as cardiovascular, respiratory and hypertensive diseases, as well as cancer and diabetes mellitus. Despite the large and historical volume of coal production in Queensland, the main Australian coal mining state, there is little research on the association of coal mining exposures with morbidity in non-occupational populations in this region. This study explored the association of coal production (Gross Raw Output-GRO) with hospitalisations due to six disease groups in Queensland using a Bayesian spatial hierarchical analysis and considering the spatial distribution of the Local Government Areas (LGAs). There is a positive association of GRO with hospitalisations due to circulatory diseases (1.022, 99% CI: 1.002-1.043) and respiratory diseases (1.031, 95% CI: 1.001-1.062) for the whole of Queensland. A higher risk of circulatory, respiratory and chronic lower respiratory diseases is found in LGAs in northwest and central Queensland; and a higher risk of hypertensive diseases, diabetes mellitus and lung cancer is found in LGAs in north, west, and north and southeast Queensland, respectively. These findings can be used to support public health strategies to protect communities at risk. Further research is needed to identify the causal links between coal mining and morbidity in non-occupational populations in Queensland.

Indexed as

Coal MiningAustraliaBayes TheoremCoalHumansMorbidityQueenslandCoalarea specific riskcardiovascular diseasescoal miningIntegrated Nested Laplace Approximation (INLA)morbidityrespiratory diseasesspatial regression

Identifiers

PMID35162230
PMCPMC8834562
OpenAlexW4207020878

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.