Identify the Influence of Risk Attitude, Work Experience, and Safety Training on Hazard Recognition in Mining

Development of occupational health culture scale: A study based on miners and construction workers

Culture is an essential influence on effectiveness of workplace health promotion, which can promote occupational health protection behavior. The aim of this research was to develop and validate an occupational health culture scale available to Chinese workers. Occupational health culture scale (OHCS) was developed based on elements of health culture and safety culture in workplace. Nine techniques steps of scale development were used, including a 15-member expert group, 10 workers for cognitive interview, and 1,119 questionnaires (from 710 miners and 409 construction workers) for formal investigation. Welch's variance analysis, independent samples t-test, Kruskal-Wallis test, Spearman correlation analysis was employed, respectively, to verified nine hypotheses about impact relationship on OHCS score. After the analysis reliability and validity, the final scale consisted of 21 items in five domains: leadership support, co-workers support, values, policy and norms, employee involvement, physical environment. Moreover, respirable dust concentration from individual sampler had the largest negative correlation coefficient on OHCS score, -0.469 (p < 0.01). The development of an occupational health culture among Chinese workers is necessary for the sustainability of human resources and the implementation of corporate responsibility.

Estimation of the risk of work-related accidents for underground hard coal mine workers by logistic regression

Coal mining has the most risk in all of the mining sectors. Hence, in this sector, most work accidents encountered are intensive. The demographic characteristics of workers affect the occurrence of occupational accidents. This study aims to develop an equation that predicts workday loss by analyzing the relationship between workers' demographic characteristics and having an accident with workday loss. In this study, work-related accidents between 2014 and 2019 in underground hard coal mines in Turkey were analyzed using logistic regression analysis. An equation is derived that estimates the workday loss with the characteristics of workers in hard coal mines. With the equation derived in this study, employers can determine the potential for work accidents according to the demographic characteristics of the workers and serious work accidents will be prevented. Therefore, proactive solutions can be produced by applying the methods used in this study to different industries.