Occupational lung diseases such as coal workers pneumoconiosis coal workers pneumoconiosis (CWP) in mines are attributed to many factors. In this study, an attempt has been made to estimate the risk of pneumoconiosis for miners, accounting for their individual and workplace characteristics in Turkish hardcoal mines. Logistic regression modeling is used to assess the association between risk factor and probability of CWP occurrence. The case study results have revealed that individual and workplace characteristics of the miners have some significant effect on the risk of pneumoconiosis. It has been found that average workplace dust concentrations, occupational categories, and collieries bear some insignificant difference in their CWP susceptibility. However, duration of exposure, age of first exposure to dust, and workers’ educational background show significant differences in their risk of CWP occurrence. Based on the logistic model results, it has been inferred that, among the five collieries and occupational groups considered, Amasra colliery and face workers with elementary school education and exposure period over 15 years are more susceptible towards CWP compared to the others.
Key words: Occupational disease, pneumoconiosis, coal workers, coal workers pneumoconiosis (CWP), risk, logit, logistic model.
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