This article not only offers a chronological overview of the development of occupational medicine, but also offers a summary of occupational diseases recommended by the ILO and legislative decisions that have influenced how we approach assessment today. We consider that these areas form a whole in which they cannot function without each other and they would lose their relevance if the system was collapsed. By excluding even one part of it, we would find ourselves at the beginning of the era of occupational medicine, and a large number of employees would once again be exposed to conditions that previously led to considerable illness and mortality of employees. The article also examines legislation and the development of occupational diseases in Slovakia in the period 1997–2019. Using basic statistical methods and time series, a trend model for the time series of the development of the number of occupational diseases over the last 20 years is created. The modeling also includes a forecast for the development of the number of occupational diseases for the next 5 years. The model created shows a favorable, decreasing trend in the number of occupational diseases in Slovakia.
Currently, emphasis is still placed on risk evaluations of physical factors in workplaces. The aim of this paper was to evaluate objectively and subjectively the noise parameters and microclimate conditions near conveyor systems at the workplace for the handling and sorting postal items. Objective noise measurements were performed using the Norsonic 140 sound analyser, Class 1 and microclimatic conditions using the Testo 435 instrument. The subjective evaluation was performed by the questionnaire method (120; F: 66; M: 54). The result of the research was the assessment of health risks, depending on the sources of noise caused by conveyor systems.
Sound visualization tools are now widely used in industry. As a tool, acoustic cameras are also well-suited for faster identification of errors as well as individual states while operating devices. The aim of this paper was to locate and quantify noise sources on a packet sorting line using an acoustic camera and then to propose noise reduction measures. Localization of noise sources was performed by means of an acoustic camera with a microphone ring array. The result of these measurements and analyses was to sort the individual noise sources from less noisy to the noisiest, which gives a good assumption for better planning of spending on the implementation of noise reduction measures. The outputs of these measurements also give information on the character and frequency composition of the sound of individual sources, which will help out in the design of specific noise measures.
During the process of designing and implementing a working environment, there is a need to guarantee adequate conditions for future workers' health and well-being. This article addresses the classification of employees characterized by several basic input variables (gender, age, class of work). The investigated variable was the health of employees. This article aims to create a prediction classification model using the classification tree, which can be used to classify new cases into appropriate classes as accurately as possible. Objective measurements of microclimatic parameters were performed by the Testo 435 instrument. The subjective evaluation was performed by a questionnaire survey formed from the training group of 80 respondents and independently verified by the test group of 80 more respondents. The result confusion matrix shows that the number of correctly classified respondents was 69 from a total of 80 respondents. The overall accuracy was A C = 0.863, which means that the likelihood that respondents are properly classified in the correct health class is 86.3%. Based on the model obtained using the classification tree, we can classify respondents into the relevant class for their state of health. The respondent is classified into the class of work for which particular health and working conditions are most likely.
This paper deals with a proposal of assessment of hearing impairment risk from the point of view of long-term exposure to noise in a selected plant in the Slovak Republic. Measurement and monitoring noise was carried out at two workshops of a mechanical engineering plant: in a "Cutting Center" and in a "Welding Center". A Norsonic sound analyser was used to measure noise exposure. Evaluation of the noise measurement results consisted of the comparison of the measured values with the required values, which are specified, in the relevant legislative regulation (Government Regulation No. 115/2006 Coll., technical standard (STN EN ISO 9612:2010) and Directive (Council Directive 2003/10/EC). The measured results show that the normalized levels of noise exposure, extended by the uncertainty of measurement (U = ± 2,1 dB) at the all workplaces, exceed the limits stipulated by the Slovak Government, all measured professions fall within the fourth category of work activities categorized according to the noise factor. Long-term exposure of the human organism to noise pollution can cause, in addition to hearing impairment, a wide range of other diseases. Very high levels of noise cause hearing impairment, lower levels affect the control system in our body. This paper presents the results of a study aimed at assessing the risks associated with acoustic noise in connection with exposure to noise at the workplace and with its possible negative effects (a risk event) to health and hearing of workers in the engineering industry.
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