Occupational Mortality

Occupational Mortality: Causes and Consequences

Occupational mortality is an indicator that reflects the number of deaths associated with certain types of industrial activities, socio-economic groups or social classes of the population. It is an important indicator that allows us to determine the level of occupational safety and the effectiveness of measures to prevent industrial risks.

To assess occupational mortality, an adjustment is introduced that takes into account the age of those included in the group under consideration. This adjustment allows comparison with either standardized mortality ratios for members of a given group whose ages range from 15 to 64 years, or with lesser-known but equally important measures such as a comparative mortality figure ) or proportional mortality ratio.

The main causes of occupational mortality may vary depending on the industry sector and type of work. These may include: injuries caused by industrial accidents, occupational diseases associated with harmful factors in the working environment, as well as psychological and social factors, such as stress and depression, caused by the characteristics of work activity.

It is important to note that occupational mortality may be associated not only with current working conditions, but also with past working conditions. For example, the development of a number of occupational diseases may appear only many years after the end of work at a particular enterprise.

Reducing occupational mortality is one of the main tasks in the field of labor protection. To do this, it is necessary to conduct a systematic risk assessment and develop and implement appropriate measures to improve working conditions and prevent diseases. This may include strengthening safety enforcement, training staff on safety procedures, and introducing new technologies and materials that will reduce worker health risks.

Thus, occupational mortality is an important indicator that allows us to determine the level of occupational safety and the effectiveness of measures to prevent occupational risks. Improving working conditions and reducing occupational mortality should become priorities for all organizations and government bodies involved in occupational safety issues.

Mortality Prod. (Occupational Mortality):

It is a term used in health care to describe deaths associated with certain types of work activities. It reflects the number of deaths and the reasons why they died, in relation to various professions, socio-economic groups and social classes.

Some organizations employ older people, so when assessing occupational mortality, the age of the people in the group is taken into account. This allows you to compare occupational mortality with other groups of people whose age is in the range of 15-64 years.

Various indicators such as standardized mortality ratios, comparative mortality charts and proportional mortality ratios are used to estimate occupational mortality. They allow occupational mortality to be compared with standard mortality rates for different groups of people and to identify possible risks and problems in the work environment.

Occupational mortality is a statistic that reflects the mortality rate among workers in a particular profession or industry. It includes information on the number and causes of death of workers working in different types of production.

Occupational mortality is an important indicator of the effectiveness of measures to ensure occupational safety and reduce health risks for workers. Understanding the causes of mortality and its dynamics allows us to take timely measures to reduce the incidence of injuries and occupational diseases. In addition, occupational mortality statistics can help identify priority areas in occupational medicine. Currently, there are changes in the structure and dynamics of population mortality, which can be used to analyze the impact of work activity on the health of workers.

The purpose of this study is to determine the level and characteristics of the dynamics of industrial mortality and identify factors that can help reduce it. To achieve this goal, Rosstat data were used characterizing unemployment, underemployment, length of the working week, employment of women, youth and other groups of the population. For the analysis, statistical methods of data processing were used, such as analysis of basic statistical indicators, relative parameters, intensity measurements, etc. The main results of the study were obtained using the method of statistical data analysis and their various relationships.