Full Length Research Paper
Apurna Kumar Ghosh*1 and Ashis Bhattacherjee2
1Department of Mining Engineering, Bengal Engineering and Science University, Shibpur, Howrah - 711103, India.
2Department of Mining Engineering, Indian Institute of Technology, Kharagpur –721302, India.
In this study a loglinear model has been investigated to evaluate the role of various factors in coal mine injuries. Data on the varieties namely age, safety performance, working condition, safety environment, management and supervision, emotional stability, job involvement, job satisfaction, and job stress have been collected through questionnaire survey. The associations of the risk factors with occupational injuries are assessed through adjusted odds ratios (OR). The case study results reveal that significant contributing factors responsible for injuries are emotional stability (OR 2.36, 95% confidence interval (CI) 1.51-3.67), working condition (OR 2.14, 95% CI 1.37-3.35), safety performance (OR 2.04, 95% CI 1.30-3.17), safety environment (OR 1.96, 95% CI 1.25-3.06), and age with two ORs of 1.84 (95% CI 1.04 to 3.28), and 2.38 (95% CI 1.27 to 4.45). Identification of these risk factors of injuries will provide valuable information in injury preventive programs.
Key words: Occupational injury, human behavioural factors, loglinear model, odds ratio, association.
|APA||(2009). Loglinear model for assessment of risk factors of occupational injuries in underground coal mines. Journal of Geology and Mining Research, 1(2), 025-033.|
|Chicago||Apurna Kumar Ghosh and Ashis Bhattacherjee. "Loglinear model for assessment of risk factors of occupational injuries in underground coal mines." Journal of Geology and Mining Research 1, no. 2 (2009): 025-033.|
|MLA||Apurna Kumar Ghosh and Ashis Bhattacherjee. "Loglinear model for assessment of risk factors of occupational injuries in underground coal mines." Journal of Geology and Mining Research 1.2 (2009): 025-033.|