Introduction. One of the leading causes of occupational health loss, especially in mining and machine-building enterprises, is the combined impact of industrial noise and vibration. The wide prevalence of cardiovascular diseases is one of the most important medical and social problems, due to persistent disability and high mortality, bringing prevention of health disorders to the first place as the basis for preserving labor longevity. The aim of study is to identify the main approaches aimed at preventing health problems in workers who come into contact with vibration and noise at mining and machine-building enterprises. Materials and methods. A survey and survey of 296 industrial workers was conducted. Group 1 (160 people) included men who were exposed to noise and vibration factors above the maximum permissible levels, group 2 consisted of 136 men who did not have direct contact with noise and vibration generating equipment. When conducting an in-depth laboratory and instrumental examination in a hospital setting, all workers additionally calculated the level of cardiovascular risk on the SCORE scale. Statistical analysis was performed using the software package "Statistica 6.0". Results. It is determined that the priority adverse factors of the working environment in production are noise and vibration. It has been shown that individuals who come into contact with these factors are more likely to detect violations of lipid metabolism and endothelial function, have a higher average heart rate and systolic blood pressure, and have an increased risk of developing cardiovascular diseases. Conclusions. Taking into account the obtained results of the proposed diagnostic approaches aimed at the prevention of health disorders among workers of industrial enterprises. If employees are found to have an increased cardiovascular risk, it is necessary to conduct a more in-depth examination and timely medical and preventive measures.
Improving the management efficiency of machine-building enterprises (on the radio industry example)
