Statistical assessment of the Russian population’s health

Keywords: subjective health, self-rated health, multinomial regression.

Abstract

The article presents the results of modeling self-assessment of individuals' health depending on a number of economic and social factors. The information base of the research is the data of the Comprehensive Survey of Living Conditions of the Population in the Russian Federation for 2018 by Rosstat. A multinomial regression model was used as a toolkit. It was found that subjective assessment of health is significantly influenced by gender, age, marriage status, employment, work in an area of specialization similar to that obtained, nervous tension, harmful factors, and other inconveniences in the workplace, hazardous nature of work, dissatisfaction with wages and job reliability, inability to live an active life, health problems, smoking and alcohol consumption. The results can be used both to adjust social policies and by individuals themselves to improve their health assessments.

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Author Biographies

Irina Gerasimova, Rostov State University of Economics, Russia.

PhD in Economics, Associate Professor, Rostov State University of Economics, Russia.

Nina Nesterenko, Rostov State Economic University, Russia.

Associate Professor, Rostov State Economic University, Russia.

Irina Tkachenko, Rostov State Economic University, Russia.

PhD in Economics, Associate Professor, Rostov State Economic University, Russia.

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Published
2021-08-31
How to Cite
Gerasimova, I., Nesterenko, N., & Tkachenko, I. (2021). Statistical assessment of the Russian population’s health. Amazonia Investiga, 10(43), 133-140. https://doi.org/10.34069/AI/2021.43.07.13
Section
Articles