Assessment of the risk of developing diseases characterized by high blood pressure in metallurgical workers

Introduction. Mathematical models are widely used in various fields of science and practice, including medicine. The use of mathematical modeling is the only way to assess the simultaneous impact on the health of workers of many interrelated factors, including harmful production factors. Metallurgical production is one of the leading sectors of the region's economy, in which more than 70% of workers are employed in harmful working conditions. The task of using mathematical models to assess the impact of various risk factors on the development of circulatory system diseases in workers engaged in harmful working conditions remains urgent. The study aims to build a predictive mathematical model to assess the contribution of risk factors to the development of diseases characterized by high blood pressure in metallurgical workers. Materials and methods. The researchers examined the results of periodic medical examinations of 2,927 men in metallurgical production and their working conditions. They have created a database that includes information on the assessment of the class of working conditions, medical and biological indicators, and survey data. The authors also established the prevalence of the disease in the ICD-10 block (110–115) "Diseases characterized by high blood pressure", depending on the class of working conditions and length of service. To build a predictive model for assessing the impact of various risk factors on the development of diseases characterized by high blood pressure, the authors used the method of multiple linear regression. They determined the quality of the model by the value of the coefficient of determination. Results. It was found that with increasing age and length of service, the rate of increase in the prevalence of diseases characterized by high blood pressure increased faster with worsening conditions. The most significant predictors of the development of diseases characterized by high blood pressure were the product of seniority on body mass index and seniority on blood glucose levels. Limitation. A single-stage cross-sectional study was conducted, limited by the results of a one-year medical examination of employees. Conclusion. It is advisable to use mathematical models to identify key risk factors in the development of a disease for the subsequent development of targeted medical and preventive measures aimed at its correction. Ethics. The study was approved by the local Ethics Committee of the Yekaterinburg Medical and Scientific Center for Prevention and Health Protection of Industrial Workers of Rospotrebnadzor (conclusion No. 6 dated 12/11/2023).

Authors

Institutions

Publication Details

Journal
Russian Journal of Occupational Health and Industrial Ecology
Published
2025-02-07
DOI
https://doi.org/10.31089/1026-9428-2025-65-1-28-34
Citations
1
Primary Topic
Human Health and Disease
Type
article
Field-Weighted Citation Impact
3.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of the risk of developing diseases characterized by high blood pressure in metallurgical workers

Tatiana A. Maslakova, Venera G. Gazimova, Aleksandr S. Shastin, Ekaterina D. Konstantinova et al.
1 citations
Russian Journal of Occupational Health and Industrial Ecology
Human Health and Disease
3.49
article

Assessment of the risk of developing diseases characterized by high blood pressure in metallurgical workers

Tatiana A. Maslakova, Venera G. Gazimova, Aleksandr S. Shastin, Ekaterina D. Konstantinova, А. Н. Вараксин, Svetlana Yu. Ogorodnikova, Diana V. Chaurina
article en
1 citations

Abstract

Introduction. Mathematical models are widely used in various fields of science and practice, including medicine. The use of mathematical modeling is the only way to assess the simultaneous impact on the health of workers of many interrelated factors, including harmful production factors. Metallurgical production is one of the leading sectors of the region's economy, in which more than 70% of workers are employed in harmful working conditions. The task of using mathematical models to assess the impact of various risk factors on the development of circulatory system diseases in workers engaged in harmful working conditions remains urgent. The study aims to build a predictive mathematical model to assess the contribution of risk factors to the development of diseases characterized by high blood pressure in metallurgical workers. Materials and methods. The researchers examined the results of periodic medical examinations of 2,927 men in metallurgical production and their working conditions. They have created a database that includes information on the assessment of the class of working conditions, medical and biological indicators, and survey data. The authors also established the prevalence of the disease in the ICD-10 block (110–115) "Diseases characterized by high blood pressure", depending on the class of working conditions and length of service. To build a predictive model for assessing the impact of various risk factors on the development of diseases characterized by high blood pressure, the authors used the method of multiple linear regression. They determined the quality of the model by the value of the coefficient of determination. Results. It was found that with increasing age and length of service, the rate of increase in the prevalence of diseases characterized by high blood pressure increased faster with worsening conditions. The most significant predictors of the development of diseases characterized by high blood pressure were the product of seniority on body mass index and seniority on blood glucose levels. Limitation. A single-stage cross-sectional study was conducted, limited by the results of a one-year medical examination of employees. Conclusion. It is advisable to use mathematical models to identify key risk factors in the development of a disease for the subsequent development of targeted medical and preventive measures aimed at its correction. Ethics. The study was approved by the local Ethics Committee of the Yekaterinburg Medical and Scientific Center for Prevention and Health Protection of Industrial Workers of Rospotrebnadzor (conclusion No. 6 dated 12/11/2023).

Russian Journal of Occupational Health and Industrial EcologyVol. 65(1)
Institute of Industrial Ecology (RU), Ekaterinburg Research Institute of Viral Infections (RU)
Openalex Percentile: Top 12%
Human Health and Disease
3.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.