Contributing effects of individual characteristics, behavioural and job-related factors on occurrence of mining-related injuries: A systematic review

A practical framework to develop and prioritize safety interventions to improve underground coal miners' safety performance

BACKGROUND

Improvement of workers' safety performance is an integral and essential part of safety management. Relevant safety interventions to improve workers' safety performance are generally difficult to establish when there is a wide range of occupational hazards and at-risk individuals' features.

OBJECTIVE

This study aimed at formulating a practical approach to develop and prioritize potential safety interventions based on occupational and individual risk factors perceived by workers to promote workers' safety performance.

METHODS

A simple framework developed to identify and prioritize the suitable safety interventions. This framework made use of data collected using standardized and validated questionnaire and domain experts' opinions. Pearson correlation coefficients, exploratory factor analysis, and multiple linear regression were used to identify significant risk factors associated with workers' safety performance. Data were collected by interviewing 202 coal mine workers with occupational injuries, and their immediate supervisors from three mines.

RESULTS

Safety performance was associated with the occupational factor-domain (poor working condition, poor safety environment, poor job satisfaction, and high job stress) only (regression coefficient = 2.14, p < 0.01). The following interventions were identified and prioritized to promote workers' safety performance: provide fair compensation to workers, job-specific and safety training, promotion policy, achievable targets, relevant perks/benefits, safety training awareness, workplace lighting, ventilation network, sensitize the management, associate safety performance to promotion, and develop team spirit.

CONCLUSION

Our approach helps to identify and prioritize the most relevant interventions to promote safety at work when there are multiple risk factors.

Prevalence and associations between occupational diseases, emotional exhaustion, and dust mask anxiety among coal miners in Northern China

This study examined the prevalence and associations between occupational-related diseases, emotional exhaustion, and dust mask anxiety among coal miners in Northern China. The study sampled 506 miners from two coal mines in Northern China. Descriptive (frequency, percentages, and chi-square tests) and inferential (complementary log-log logistic regression) analyses were carried out to assess prevalence and associations. The prevalence of coal mining-related pulmonary diseases was 94%, with 40% and 37% reporting pneumoconiosis and bronchitis respectively. Emphysema and tuberculosis were less prevalent with a total prevalence of 5% while 12% of the miners reported two, three, or four of these diseases. For cardiovascular diseases, 66% of the miners reported 3H (hypertension, hyperlipemia, and hyperglycemia) while heart disease and cerebral infarction were reported by 6% and 2% of the miners respectively. Also, 5% and 2% of the miners reported two or all three of 3H, heart condition, and cerebral infarction. The overall prevalence of cardiovascular diseases was 81% while 82% and 63% of the miners reported experiencing some frequency of emotional exhaustion and dust mask anxiety respectively. The study also identified associations between mining-related diseases, emotional exhaustion, dust mask anxiety, and other demographic, personal habits and work-related factors. Miners with pulmonary diseases were more likely to experience emotional exhaustion and dust mask anxiety. Contrariwise, miners with cardiovascular diseases were less likely to experience dust mask anxiety. Factors such as age, engaging in physical exercises, rhinitis, source of pressure and shift system were also associated with emotional exhaustion and dust mask anxiety. These findings highlight the prevalence of occupational diseases, emotional exhaustion, and dust mask anxiety among coal miners in China. The study emphasizes the need for interventions to address health risks, improve work conditions, and support miners' well-being in the coal mining industry.

Statistical analysis of the severity of occupational accidents in the mining sector

INTRODUCTION

The aim of this paper is to understand the causes of occupational accidents in Spain's mining sector in order to propose action plans and improve future accident rates.

METHOD

This research analyzed a pool of data on 15,032 accidents occurring in the mining sector and reported to authorities between 2013 and 2018. Accidents are divided into three levels of severity: light, serious, and fatal. We study the influence of 12 variables on the accident severity rate in our sample.

RESULTS

The results show that accident severity is related to age, gender, nationality, length of service, economic activity, company size, accident location, days of injury leave, day of the week, deviation, injury, and specific Spanish region. This sector produces a high rate of serious accidents compared to all other sectors; has a male-dominated, older and experienced workforce; and employs mainly Spanish workers. Its activity is concentrated in larger companies and the work involves the use of heavy machinery and dangerous materials. We offer conclusions and future lines of research to help regulators, companies and workers to improve worker safety.

Analysis of Mining-Related Injuries in Chinese Coal Mines and Related Risk Factors: A Statistical Research Study Based on a Meta-Analysis

Background and Objectives: Coal mine injuries commonly occur, affecting both the safety and health of miners, and the normal operation of the coal mine. Accordingly, this study aimed to explore the regularity of injury and injury-related risk factors in coal mines in China so as to establish a scientific basis for reducing the incidence and promoting the prevention and control of injuries. Methods: A meta-analysis of casualty cases and injury-related risk factors from 1956 to 2017 in China was conducted utilizing data from six databases, including CNKI, Web of Science, PubMed, Medline, Embase, and Wanfang data. Summary estimates were obtained using random effects models. Results: There were statistically significant variations in coal mine accident types, types of work, injury sites, age, experience, months, and shifts (p < 0.001). Eight types of accidents were susceptible to the risk of injury, and the greatest risk was presented by roof-related accidents (odds ratio (OR) = 0.46, 95% confidence interval (CI) = 0.32−0.6). Coal miners and drillers were at a greater risk of injury (OR = 0.39, 95% CI = 0.35−0.44; OR = 0.22, 95% CI = 0.17−0.26, respectively). The extremities and the soft tissues of the skin were at the greatest risk of injury (OR = 0.44, 95% CI = 0.3−0.58; OR = 0.23, 95% CI = 0.1−0.48, respectively). Compared with other ages, miners aged 21−30 were at a greater risk of injury (21−30 years, OR = 0.45, 95% CI = 0.42−0.47; 31−40 years, OR = 0.29, 95% CI = 0.25−0.32; <20 years, OR = 0.13, 95% CI = 0.03−0.23; >40 years, OR = 0.17, 95% CI = 0.09−0.25). Compared with other miners, those with 6−10 years of experience were at a greater risk of injury (6−10 years, OR = 0.29, 95% CI = 0.25−0.32; 2−5 years, OR = 0.33, 95% CI = 0.25−0.41; <1 year, OR = 0.22, 95% CI = 0.08−0.33; >11 years, OR = 0.22, 95% CI = 0.17−0.27). During the months of July to September, the risk of injury was elevated (7−9th months, OR = 0.32, 95% CI = 0.25−0.39; 10−12th months, OR = 0.24, 95% CI = 0.16−0.31; 1st−3rd months, OR = 0.22, 95% CI = 0.16−0.28; 4−6th months, OR = 0.21, 95% CI = 0.16−0.27). In the three-shift work system, the risk of injury was higher during night shifts (22:00−06:00, OR = 0.43, 95% CI = 0.3−0.56; 14:00−22:00, OR = 0.3, 95% CI = 0.23−0.27; 06:00−14:00, OR = 0.27, 95% CI = 0.18−0.35). Conclusions: The results of this research study reveal that coal mine injuries are prevalent among coal miners. These injuries are often related to the age, experience, months of work, and the three-shift work system of miners.

Health and Safety Risk Mitigation among Artisanal and Small-Scale Gold Miners in Zimbabwe

Artisanal and small-scale gold mining (ASGM) is often associated with no or compromised attention to health and safety. Although headlines of fatal accidents in Zimbabwe characterise ASGM, little attention is paid to prevention strategies. This study, therefore, explores health and safety risk mitigation in ASGM in Zimbabwe to inform prevention strategies. A qualitative design was used with focus group discussions and in-depth interviews. Data were analysed using thematic analysis, coding, and descriptive statistics. Reported factors contributing to compromised health and safety included immediate causes, workplace factors, ASM related factors, and contextual factors, with interconnectedness between the causal factors. In addition, factors related to ASGM were significant. For risk mitigation, formalisation, organisation of risk reduction, behaviour change, and enforcement of prevention strategies is proposed. A multi-causal analysis is recommended for risk assessment and accident investigation. A multi-stakeholder approach could be considered for risk mitigation including community and public health interventions. However, risk mitigation has been characterised by gaps and weaknesses such as lacking ASM policy, lack of capital, poor enforcement, negative perceptions, and non-compliance. Therefore, we recommend addressing the threats associated with health and safety mitigation to ensure health and safety protection in ASGM.