Chromosomal aberrations in coal mine workers with lung diseases

2020 ◽  
pp. 226-231
Author(s):  
Ya. A. Savchenko ◽  
V. I. Minina ◽  
M. L. Bakanova ◽  
V. P. Volobaev ◽  
A. A. Timofeeva ◽  
...  
Keyword(s):  
Chromosomal Aberrations ◽  
Coal Mine ◽  
Lung Diseases ◽  
Mine Workers

scholarly journals Evaluating the risks of occupational respiratory diseases of coal mine workers

2018 ◽  
pp. 104-111 ◽  
Author(s):  
S.I. Cheberiachko ◽  
A.V. Yavorskyi ◽  
O.O. Yavorska ◽  
V.V. Tykhonenko
Keyword(s):  
Coal Mine ◽  
Respiratory Diseases ◽  
Mine Workers

Memories of Migration of the Nepalese Migrant Coal Mine Workers

2021 ◽  
pp. 311-323
Author(s):  
Rashmi Upadhyay
Keyword(s):  
Coal Mine ◽  
Mine Workers

scholarly journals A Cross-Sectional Epidemiological Survey of Work-Related Musculoskeletal Disorders and Analysis of Its Influencing Factors among Coal Mine Workers in Xinjiang

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Xianting Yong ◽  
Fuye Li ◽  
Hua Ge ◽  
Xuemei Sun ◽  
Xiaofan Ma ◽  
...  
Keyword(s):  
Musculoskeletal Disorders ◽  
Influencing Factors ◽  
Coal Mine ◽  
Job Burnout ◽  
Work Related ◽  
Annual Prevalence ◽  
Short Period ◽  
Work Related Musculoskeletal Disorders ◽  
Years Of Service ◽  
Mine Workers

This study is to investigate the prevalence of work-related musculoskeletal disorders (MSDs) and the influencing factors among coal mine workers employed in on-site operations. The job burnout scale and MSD scale were implemented to investigate a random sample of 1,500 coal mine workers working in on-site operations in Xinjiang, China. In total, 1,325 valid questionnaires were collected, with a recovery rate of 88.33% (1,325/1,500). The rate of job burnout was 90%, of which 39.8% were categorized as mild burnout, 43.8% as moderate burnout, and 6.4% as severe burnout; the average job burnout score was 50.77±11.93. The annual prevalence of MSDs was 65.6%, with the highest annual prevalence in the waist (50.7%), followed by the neck, shoulder, and knee, and the lowest prevalence in the elbow (18.8%). Of the areas of the body affected by work-related MSDs, the highest proportion of requests for leave of absence was related to the waist, accounting for 25.7% of requests, while the lowest proportion (13.4%) was related to the wrist. In addition, the incidence of MSDs increased with the years of service. The lowest incidence of MSDs was associated with the two-shift and three-group working pattern. The prevalence of MSDs in the neck and waist was higher in women than in men. The prevalence of MSDs in various body parts increased with the years of service. Moreover, multiple logistic regression indicated that three shifts with four groups (OR=1.096, 95% CI: 0.832-1.445), working more than 10 years (OR=3.396, 95% CI: 2.369-5.748), working more than 20 years (OR=3.008, 95% CI: 1.419-6.337), significant bending (OR=2.062, 95% CI: 1.400-3.038), forward neck tilting (OR=1.572, 95% CI: 1.071-2.281), maximum force operation within a short period of time (OR=1.7222, 95% CI: 1.164-2.547), repeated movement of upper arms or fingers (OR=1.495, 95% CI: 1.034-2.161), slip or fall incidents (OR=1.124, 95% CI: 1.039-1.216), work under conditions of cold or temperature variations (OR=1.911, 95% CI: 1.342-2.720), mild burnout (OR=1.492, 95% CI: 1.016-2.191), moderate burnout (OR=1.852, 95% CI: 1.267-2.708), and severe burnout (OR=2.001, 95% CI: 1.145-3.496) were risk factors for MSDs. In conclusion, there is a high annual prevalence of MSDs among the coal mine workers employed in on-site operations in Xinjiang, China. Measures to reduce this prevalence are required.

Evaluation of genetic damage in open-cast coal mine workers using the buccal micronucleus cytome assay

2012 ◽  
Vol 54 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Paula Rohr ◽  
Juliana da Silva ◽  
Fernanda R. da Silva ◽  
Merielen Sarmento ◽  
Carem Porto ◽  
...  
Keyword(s):  
Coal Mine ◽  
Genetic Damage ◽  
Cytome Assay ◽  
Open Cast ◽  
Mine Workers

scholarly journals Is There a Difference in Brain Functional Connectivity between Chinese Coal Mine Workers Who Have Engaged in Unsafe Behavior and Those Who Have Not?

2022 ◽  
Vol 19 (1) ◽  
pp. 509
Author(s):  
Fangyuan Tian ◽  
Hongxia Li ◽  
Shuicheng Tian ◽  
Chenning Tian ◽  
Jiang Shao
Keyword(s):  
Functional Connectivity ◽  
Coal Mine ◽  
Brain Connectivity ◽  
Clustering Coefficient ◽  
Mine Safety ◽  
Functional Near Infrared Spectroscopy ◽  
Functional Brain ◽  
Unsafe Behavior ◽  
Brain Functional Connectivity ◽  
Mine Workers

(1) Background: As a world-recognized high-risk occupation, coal mine workers need various cognitive functions to process the surrounding information to cope with a large number of perceived hazards or risks. Therefore, it is necessary to explore the connection between coal mine workers’ neural activity and unsafe behavior from the perspective of cognitive neuroscience. This study explored the functional brain connectivity of coal mine workers who have engaged in unsafe behaviors (EUB) and those who have not (NUB). (2) Methods: Based on functional near-infrared spectroscopy (fNIRS), a total of 106 workers from the Hongliulin coal mine of Shaanxi North Mining Group, one of the largest modern coal mines in China, completed the test. Pearson’s Correlation Coefficient (COR) analysis, brain network analysis, and two-sample t-test were used to investigate the difference in brain functional connectivity between the two groups. (3) Results: The results showed that there were significant differences in functional brain connectivity between EUB and NUB among the frontopolar area (p = 0.002325), orbitofrontal area (p = 0.02102), and pars triangularis Broca’s area (p = 0.02888). Small-world properties existed in the brain networks of both groups, and the dorsolateral prefrontal cortex had significant differences in clustering coefficient (p = 0.0004), nodal efficiency (p = 0.0384), and nodal local efficiency (p = 0.0004). (4) Conclusions: This study is the first application of fNIRS to the field of coal mine safety. The fNIRS brain functional connectivity analysis is a feasible method to investigate the neuropsychological mechanism of unsafe behavior in coal mine workers in the view of brain science.

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