Reserves and limitations of the gain in life expectancy at birth for people in an industrially developed region associated with losses due to circulatory diseases
- Авторлар: Zaitseva N.V.1, Kostarev V.G.2, Kleyn S.V.1, Glukhikh M.V.1, Kiryanov D.A.1
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Мекемелер:
- Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
- Federal Service for Surveillance over Consumer Rights Protection and Human Wellbeing
- Шығарылым: Том 68, № 6 (2024)
- Беттер: 480-487
- Бөлім: TOPICAL ISSUES OF HYGIENE
- ##submission.dateSubmitted##: 14.01.2025
- URL: https://hum-ecol.ru/0044-197X/article/view/646179
- DOI: https://doi.org/10.47470/0044-197X-2024-68-6-480-487
- EDN: https://elibrary.ru/qdkxky
- ID: 646179
Дәйексөз келтіру
Аннотация
Introduction. The current project activity of the state aimed to improve the medical and demographic situation in the country involves complex changes in many spheres of society activities including living conditions of working age population.
The purpose of study. Identification of the working environment and labour process priority factors against the background of environmental factors system, according to the measure of their influence on age-specific mortality due to circulatory system diseases and estimation potential for increasing of life expectancy at birth for the industrialized region population.
Materials and methods. Data were taken from state statistical reports issued in 2010–2019. They covered 206 indices, including factors related to workplace setting and work processes (20 items). Using a FA-ANN (factor analysis — artificial neural network) model as by 5-year age groups.
Results. We established certain influence produced on LEB in total and working age population on the example of the Perm Krai by changes in environmental according to scenario forecasts, 75.87 and 67.81 years by 2030. Influence exerted on age-specific mortality rates due to circulatory diseases and LEB by changes in some specific groups of factors was assessed using retrospective data (between (–)48.6 days and 284.5 days), in particular, positive changes in workplace settings and work processes (between 11.1 and 30.3 days within different scenarios). According to our forecast, by 2030 the maximum effect of LEB growth for the population (total and working age) is expected to be associated with changes in sociodemographic indices (435.5 days), lifestyle indices (172.2 days), sanitary-epidemiologic welfare (105.1 days).
Research limitations. The analyzed dataset, limitations of the applied model, approaches to setting scenario conditions for changes in analyzed indices.
Conclusion. Priority factors have been identified on the example of an industrially developed region (the Perm Krai). Changes in them can help use the potential of LEB growth due to targeted interdepartmental project activities including improvement of workplace settings and work processes.
Compliance with ethical standards. The study does not require the approval of a biomedical ethics committee of other documents (the study was performed using publicly available official statistics).
Contribution of the authors:
Zaitseva N.V. — research concept and design, editing, approval of the final version of the article;
Kostarev V.G. — research concept and design, editing, approval of the final version of the article;
Kleyn S.V. — editing, writing the text, approval of the final version of the article;
Kiryanov D.A. — editing, writing the text, approval of the final version of the article;
Glukhikh M.V. — statistical data processing, collection and processing material, writing the text.
All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.
Acknowledgment. The study had no sponsorship.
Conflict of interest. The authors declare no conflict of interest.
Received: April 3, 2024 / Accepted: October 3, 2024 / Published: December 28, 2024
Авторлар туралы
Nina Zaitseva
Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
Email: znv@fcrisk.ru
ORCID iD: 0000-0003-2356-1145
DSc (Medicine), Professor, Academician of the Russian Academy of Sciences, Scientific Director of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, Perm, 614045, Russian Federation
e-mail: znv@fcrisk.ru
Vitalij Kostarev
Federal Service for Surveillance over Consumer Rights Protection and Human Wellbeing
Email: urpn@59.rospotrebnadzor.ru
ORCID iD: 0000-0001-5135-8385
PhD (Medicine), Head of the of the Regional Office of the Federal Service for Supervision of Consumer Rights Protection and Human Welfare, Chief State Sanitary Doctor of the Perm Krai, Perm, 614016, Russian Federation
e-mail: urpn@59.rospotrebnadzor.ru
Svetlana Kleyn
Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
Email: kleyn@fcrisk.ru
ORCID iD: 0000-0002-2534-5713
DSc (Medicine), Associate Professor, Professor of the Russian Academy of Sciences, Head of the Department of Sanitary and Hygienic Analysis and Monitoring Systemic Methods of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, Perm, 614045, Russian Federation
e-mail: kleyn@fcrisk.ru
Maxim Glukhikh
Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
Email: gluhih@fcrisk.ru
ORCID iD: 0000-0002-4755-8306
PhD (Medicine), senior researcher at the Department of Sanitary and Hygienic Analysis and Monitoring Systemic Methods of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, Perm, 614045, Russian Federation
e-mail: gluhih@fcrisk.ru
Dmitry Kiryanov
Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
Хат алмасуға жауапты Автор.
Email: kda@fcrisk.ru
ORCID iD: 0000-0002-5406-4961
PhD (Engineering), Head of the Department of Systems and Processes Mathematical Modelling of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, Perm, 614045, Russian Federation
e-mail: kda@fcrisk.ru
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