Literature DB >> 19218756

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

Mustafa Onder1, Seyhan Onder.   

Abstract

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. The data obtained from the dust measurement studies conducted in various underground coal mines between the years 1978-2006 was evaluated by using analysis of variance (ANOVA) and Tukey-Kramer procedure. In the statistical analyses, the comparison of dustiness between mines and their mining regions were made by using the average dust concentration values. In addition, the numbers of workers with doubtful pneumoconiosis diagnosis were evaluated according to the occupational job category by using the number of the workers with the job illness. It was concluded that the production regions have the higher dust concentration levels and the CWP is mostly diagnosed in the workers working in production regions.

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Year:  2009        PMID: 19218756     DOI: 10.2486/indhealth.47.43

Source DB:  PubMed          Journal:  Ind Health        ISSN: 0019-8366            Impact factor:   2.179


  3 in total

1.  Alterations of serum biomarkers associated with lung ventilation function impairment in coal workers: a cross-sectional study.

Authors:  Jimin Zou; Xianming du Prel Carroll; Xianhong Liang; Dongmei Wang; Chao Li; Baojun Yuan; Sandra Leeper-Woodford
Journal:  Environ Health       Date:  2011-09-27       Impact factor: 5.984

2.  Comparison of the Cumulative Incidence Rates of Coal Workers' Pneumoconiosis between 1970 and 2013 among Four State-Owned Colliery Groups in China.

Authors:  Kai Cui; Fuhai Shen; Bing Han; Juxiang Yuan; Xia Suo; Tianbang Qin; Hongbo Liu; Jie Chen
Journal:  Int J Environ Res Public Health       Date:  2015-06-30       Impact factor: 3.390

3.  Identification and classification of high risk groups for Coal Workers' Pneumoconiosis using an artificial neural network based on occupational histories: a retrospective cohort study.

Authors:  Hongbo Liu; Zhifeng Tang; Yongli Yang; Dong Weng; Gao Sun; Zhiwen Duan; Jie Chen
Journal:  BMC Public Health       Date:  2009-09-29       Impact factor: 3.295

  3 in total

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