DOI: 10.21045/2071-5021-2017-56-4-3
Zhilina N. M.
Novokuznetsk State Institute of Postgraduate Medical Training, Ministry of Health of the Russian Federation, Novokuznetsk
Contacts: Natalya M. Zhilina,
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Information about author:
Zhilina N.M., http://orcid.org/0000-0001-7871-3885
Acknowledgments. The study had no sponsorship.
Conflict of interests. The authors declare no conflict of interest.
Abstract. Significance of the issue is substantiated by
importance of the research subject, namely health of the city workers
with the developed metallurgical and mining industry, unfavorable
environmental situation and working conditions. Reproduction of healthy
population, efficient productivity and high quality of life are highly
dependable upon the state of health of workers. Identification of risk
zones of the workers ' health in relation to environmental factors
contributes to adoption of adequate solutions to reduce preventable loss
of population in terms of health. The purpose of the study was to
conduct a dynamic analysis of the existing situation, identify risk
zones of the workers ' health and find causal relationship between
"Health – environment".
The study considered the following indicators of the workers’ health:
incidence by care seeking at health care facilities, morbidity with
temporal disability, indicators of prophylactic medical examination for
chronic diseases, disability and mortality of employees; the integrated
indicator of the workers’ health was analyzed.
The study used methods of system analysis, expert assessments and statistical methods.
The automated system "Health workers" developed with the
participation of the author is one of the components of the
socio-hygienic monitoring of the environment and public health and is
kept up to date by the Novokuznetsk medical information and analytical
center. The output of the system for 2008-2015 was converted into series
data and analyzed using the licensed statistical package IBM SPSS
Statistics (version 19.0); data from the regional and Federal state
statistics were used. The analysis helped to identify problem
situations, to calculate significant correlation in the system
"Health-Environment".
Recommendations to eliminate risk factors of workers’ health were developed.
Results of this study can be used to identify problems and develop
priorities to reduce preventable loss in terms of workforce health at
the federal and regional levels.
Key words: workers’ health; automated monitoring; integrated indicators; risk zones; environmental factors; correlation.
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