Evidence map›Paper›PMID 29996801›Full record

ArticleBMC public health2018

Precarious transition: a mortality study of South African ex-miners.

Kim Bloch, Leigh F Johnson, Mlindeli Nkosi, Rodney Ehrlich

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Global Health Perspectives on Race in Research: Neocolonial Extraction and Local Marginalization.International journal of environmental research and public health · 2023
    Review
  4. Occupational Safety and Health of Women in Mining.Journal of women's health (2002) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Accessing Occupational Health Services in the Southern African Development Community Region.International journal of environmental research and public health · 2020
    Review
  10. Article
  11. Mining is bad for health: a voyage of discovery.Environmental geochemistry and health · 2020
    Article
  12. Excess Mortality Due to External Causes in Women in the South African Mining Industry: 2013-2015.International journal of environmental research and public health · 2020
    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.

Kim BlochCentre for Environmental and Occupational Health Research, School of Public Health and Family Medicine, University of Cape Town, Observatory 7925, Cape Town, South Africa.
Leigh F JohnsonCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Mlindeli NkosiActuarial Science Department, University of Cape Town, Cape Town, South Africa.
Rodney EhrlichCentre for Environmental and Occupational Health Research, School of Public Health and Family Medicine, University of Cape Town, Observatory 7925, Cape Town, South Africa. rodney.ehrlich@uct.ac.za.ORCID 0000-0001-5736-9237

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite their burden of a triple epidemic of silicosis, tuberculosis and HIV infection, little is known about the mortality experience of miners from the South African mining industry once they leave employment. Such information is important because of the size and dispersion of this population across a number of countries and the progressive nature of these diseases.

methodsThis study included 306,297 South African miners who left the industry during 2001-2013. The study aimed to calculate crude and standardised mortality rates, identify secular trends in mortality and model demographic and occupational risk factors for mortality.

resultsCrude mortality rates peaked in the first year after exit (32.8/1000 person-years), decreasing with each year from exit. Overall mortality was 20% higher than in the general population. Adjusted annual mortality halved over the 12 year period. Mortality predictors were being a black miner [adjusted hazard ratio (aHR) 3.30; 95% confidence interval (CI) 3.15-3.46]; underground work (aHR 1.33; 95% CI 1.28-1.39); and gold aHR 1.15 (95% CI 1.12-1.19) or multiple commodity employment (aHR 1.15; 95% CI 1.11-1.19).

conclusionsThis is the first long-term mortality assessment in the large ex-miner population from the South African mining industry. Mortality patterns follow that of the national HIV-tuberculosis epidemic and antiretroviral treatment availability. However, ex-miners have further elevated mortality and a very high mortality risk in the year after leaving the workforce. Coordinated action between the mining industry, governments and non-governmental organisations is needed to reduce the impact of this precarious transition.

Indexed as

AdolescentAdultAgedFemaleHIV InfectionsHumansMaleMiddle AgedMinersProportional Hazards ModelsRisk FactorsSilicosisSouth AfricaTuberculosisYoung AdultHIVMiningMortalitySilicosisSouth AfricaTuberculosis

Identifiers

PMID29996801
PMCPMC6042385

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.