The Evaluation of Personal Protective Equipment Usage Habit of Mining Employees Using Structural Equation Modeling.

Background: In occupational studies, it is a known situation that technical and organizational attempts are used to prevent occupational accidents. Especially in the mining sector, if these attempts cannot prevent occupational accidents, personal protective equipment (PPE) becomes a necessity. Thus, in this study, the main objective is to examine the effects of the variables on the use of PPE and identify important factors.

Using categorical data analyses in determination of dust-related occupational diseases in mining.

Dust-related occupational diseases are common in the mining sector. It is important to identify employees who have high potential for these diseases and to investigate the factors affecting disease formation. For this reason, dust and dust-related occupational diseases should be carefully investigated in mining operations.

Analyses of non-fatal accidents in an opencast mine by logistic regression model - a case study.

Accidents cause major damage for both workers and enterprises in the mining industry. To reduce the number of occupational accidents, these incidents should be properly registered and carefully analysed. This study efficiently examines the Aegean Lignite Enterprise (ELI) of Turkish Coal Enterprises (TKI) in Soma between 2006 and 2011, and opencast coal mine occupational accident records were used for statistical analyses.

Applying hierarchical loglinear models to nonfatal underground coal mine accidents for safety management.

Underground mining is considered to be one of the most dangerous industries and mining remains the most hazardous occupation. Categorical analysis of accident records may present valuable information for preventing accidents. In this study, hierarchical loglinear analysis was applied to occupational injuries that occurred in an underground coal mine.

Determination of noise induced hearing loss in mining: an application of hierarchical loglinear modelling.

The levels of noise arise from mining industry seem to be higher when compared to other industries. For this reason, noise exposure and noise-induced hearing loss (NIHL) are prevalent in mining. Assessment of noise emission levels that arise from various mining operations is required to prevent and minimize the NIHL.

Investigation of dust levels in different areas of underground coal mines.

Dust concentration levels in underground coal mines are of primary importance and have to be controlled to prevent pulmonary disease in miners. Different mining areas are exposed to different dust levels and to minimize the probability of occupational respiratory disease of coal miners, it is necessary to evaluate dust concentration in the different working areas. This study aimed to evaluate dust concentration levels in different areas of underground coal mines.

Evaluation of occupational exposures to respirable dust in underground coal mines.

Dust can be produced by almost all mining operations in underground coal mines and seen all around the mine. Different occupational groups get exposed to different dust levels and in order to minimize the probability of developing coal workers' pneumoconiosis (CWP), it is necessary to investigate the workers exposed to dust. This study aimed to evaluate the dust concentration conditions in underground coal mines and also the occupational health risks associated with exposures to respirable dust.