Assessment of shifts in mortality age profile of adult population in Moscow during pandemic

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Abstract

Introduction. The COVID-19 pandemic induced the global crisis of mortality. Delayed medical care and reduced availability under quarantine restrictions have led to an increase in mortality not only from Covid-19, but also from chronic non-communicable diseases, affecting men and women of different ages to varying degrees.

The study purpose is to assess shifts in mortality age profile of population aged 20+ in Moscow during COVID-19 pandemic.

Materials and methods. Official vital statistics of Rosstat, operational information from civil registration database on death causes in Moscow.

Results. The gain in mortality rate caused primarily by deaths from COVID-19 interrupted in 2020 the positive demographic dynamics that had developed over the previous years. In 2021, the increase in the mortality rate continued, but the loss of life expectancy was lower due to a decrease in mortality in older ages and the return of most indicators to the level of 2019. However, from a socio-economic point of view, the situation in 2021 developed more negatively, since the age structure of life expectancy losses is younger than in 2020.

Limitations. The study results are based on operational information of the Moscow civil registration office and could be used for the development of managerial decisions for Moscow only.

Conclusion. Against the pandemic demographic situation in Moscow has worsened. Due to mortality gain in the Russia’s capital first in the past years recorded natural population decline.

Compliance with ethical standards. This type of research does not require examination by the local ethics committee.

Contribution of the authors:
Savina A.A. — research concept and design, statistical processing, text writing;
Zemlyanova E.V. — research design, text writing editing, translation;
Feyginova S.I. — concept and design of the study, compilation of the list of references;
Tarasov N.A. — collection and processing of material, statistical processing. 
All co-authors — approval of the final version of the article, responsibility for the integrity of all parts of the article.

Acknowledgment. The study had no sponsorship.

Conflict of interest. The authors declare that there is no conflict of interest.

Received: July 18, 2022 
Accepted: September 07, 2022
Published: December 12, 2022

About the authors

Anna A. Savina

Research Institute of Healthcare Organization and Medical Management of the Moscow Department of Healthcare

Author for correspondence.
Email: medstatistika@mail.ru
ORCID iD: 0000-0002-5543-7918

MD, PhD, leading researcher of the Department of Demography of the Research Institute of Health Organization and Medical Management of the Department of Health of the City of Moscow, Moscow, 115088, Russian Federation.

e-mail: medstatistika@mail.ru

Russian Federation

Elena V. Zemlyanova

Institute for Demographic Research - a separate division of the Federal Research Sociological Center of the Russian Academy of Sciences

Email: noemail@neicon.ru
ORCID iD: 0000-0001-6231-1611
Russian Federation

Svetlana I. Feyginova

Research Institute of Healthcare Organization and Medical Management of the Moscow Department of Healthcare

Email: noemail@neicon.ru
ORCID iD: 0000-0003-3183-5177
Russian Federation

Nikolai A. Tarasov

Research Institute of Healthcare Organization and Medical Management of the Moscow Department of Healthcare

Email: noemail@neicon.ru
ORCID iD: 0000-0002-8545-3361
Russian Federation

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Copyright (c) 2022 Savina A.A., Zemlyanova E.V., Feyginova S.I., Tarasov N.A.

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