Unknown

Dataset Information

0

Predictors of silicosis and variation in prevalence across mines among employed gold miners in South Africa.


ABSTRACT: BACKGROUND:The stated intention to eliminate silicosis from the South African goldmining industry as well as current programmes to find and compensate ex-miners with silicosis require an understanding of variation in silicosis prevalence across the industry. We aimed to identify the predictors of radiological silicosis in a large sample of working miners across gold mines in South Africa. METHODS:Routine surveillance chest radiographs were collected from 15 goldmine "clusters" in a baseline survey undertaken in preparation for a separate tuberculosis isoniazid prophylaxis trial. All images were read for silicosis by a health professional experienced in using the International Labour Organisation (ILO) classification. Profusion thresholds of >?1/0 and > 1/1 were used. Demographic and occupational information was obtained by questionnaire. Predictors of silicosis were examined in a multivariable logistic regression model, including age, gender, racial ascription, country of origin, years since starting mine employment, mine shaft, skill category, underground work status and tuberculosis. RESULTS:The crude silicosis prevalence at ILO >?1/1 was 3.8% [95% confidence interval (CI) 3.5-4.1%]. The range across mine shafts was 0.8-6.9%. After adjustment for covariates, the interquartile range across shafts was reduced from 2.4 to 1.2%. Black miners [adjusted odds ratio (aOR) 2.8; 95% CI 1.1-7.2] and miners in full-time underground work (aOR 2.1; 95% CI 1.3-3.4) had substantially elevated odds of silicosis, while workers from Mozambique had lower odds (aOR 0.54; 95% CI 0.38-0.77). Silicosis odds rose sharply with both age and years since starting in the industry (p for linear trend ?15?years since first exposure and 2.2%

SUBMITTER: Knight D 

PROVIDER: S-EPMC7268682 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Predictors of silicosis and variation in prevalence across mines among employed gold miners in South Africa.

Knight Dave D   Ehrlich Rodney R   Cois Annibale A   Fielding Katherine K   Grant Alison D AD   Churchyard Gavin G  

BMC public health 20200601 1


<h4>Background</h4>The stated intention to eliminate silicosis from the South African goldmining industry as well as current programmes to find and compensate ex-miners with silicosis require an understanding of variation in silicosis prevalence across the industry. We aimed to identify the predictors of radiological silicosis in a large sample of working miners across gold mines in South Africa.<h4>Methods</h4>Routine surveillance chest radiographs were collected from 15 goldmine "clusters" in  ...[more]

Similar Datasets

| S-EPMC9565035 | biostudies-literature
| S-EPMC5896106 | biostudies-other
| S-EPMC93369 | biostudies-literature
| S-EPMC2796737 | biostudies-literature
2010-08-11 | GSE19442 | GEO
| S-EPMC4388015 | biostudies-literature
| S-EPMC6492239 | biostudies-literature
| S-EPMC7709424 | biostudies-literature
2010-08-11 | E-GEOD-19442 | biostudies-arrayexpress
| S-EPMC10029276 | biostudies-literature