Trends of the health and demographic indicators in the arctic regions of the Republic of Sakha (Yakutia) over 20 year (2000–2020)

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Abstract

BACKGROUND: The implementation of the major federal projects in the Arctic region of the Russian Federation claims particular attention to the indicators of the quality of life and the state of population health in these regions. Health and demographic indicators can be one of the available tools for public health monitoring.

AIM: To analyze the main trends of the health and demographic processes in the arctic regions of the Republic of Sakha (Yakutia) over 20 year (2000–2020).

MATERIAL AND METHODS: The data of the Territorial Body of the Federal State Statistics Service in the Republic of Sakha (Yakutia), YARMIATS for 2000–2020 were analyzed. An approximate 95% confidence interval was calculated over 20 years (2000–2019), the average population growth rate was estimated by a chain method for time series (data for 2020 year are presented separately due to the deformation of the pattern of demographic indicators due to the epidemic SARS-CoV-2). A linear regression analysis of IBM SPSS Statistics 26 was performed to assess the birth and mortality rate trends.

RESULTS: From 2000–2020, the population of the Arctic region of the Republic of Sakha (Yakutia) decreased by 22% due to migration and high mortality rates. Deaths by external causes occupy approximately 20% of the structure of the all-cause mortality rate. Dynamically, the decrease in the number of infant mortalities was noticed due to the effective routing of pregnant women and improvement of the maternity service in the region.

CONCLUSION: The analysis of the medical and demographic indicators showed positive and negative trends in the Arctic regions’ public health of the Republic of Sakha (Yakutia). The system of the healthcare organization in the regions is to be improved. Also, these regions, which possess all the features of the healthcare systems with low-density population territories, can become a model for the regional and federal projects approbated in the field of Arctic medicine.

About the authors

Tatiana E. Burtseva

M.K. Ammosov North-Eastern Federal University; Yakut Science Center for Complex Medical Problems

Author for correspondence.
Email: bourtsevat@yandex.ru
ORCID iD: 0000-0002-5490-2072
SPIN-code: 5032-4405

Dr. Sci. (Med.), professor

Russian Federation, Yakutsk; Yakutsk

Tatiana M. Klimova

M.K. Ammosov North-Eastern Federal University; Yakut Science Center for Complex Medical Problems

Email: biomedykt@mail.ru
ORCID iD: 0000-0003-2746-0608
SPIN-code: 2635-0865
Russian Federation, Yakutsk; Yakutsk

Nikolay M. Gogolev

M.K. Ammosov North-Eastern Federal University

Email: gogrcemp@mail.ru
ORCID iD: 0000-0001-6696-7378
SPIN-code: 8663-8332
Russian Federation, Yakutsk

Snezhana S. Sleptsova

M.K. Ammosov North-Eastern Federal University

Email: sssleptsova@yandex.ru
ORCID iD: 0000-0002-0103-4750
SPIN-code: 2677-0163
Russian Federation, Yakutsk

Lena N. Afanaseva

M.K. Ammosov North-Eastern Federal University

Email: enanik2007@mail.ru
ORCID iD: 0000-0003-2592-5125
SPIN-code: 5567-4610
Russian Federation, Yakutsk

Elena V. Sinelnikova

Saint Petersburg State Pediatric Medical University

Email: sinelnikova_e@mail.ru
ORCID iD: 0000-0003-2213-3755
SPIN-code: 1948-5788
Russian Federation, Saint Petersburg

Vyacheslav G. Chasnyk

Saint Petersburg State Pediatric Medical University

Email: chasnyk@gmail.com
ORCID iD: 0000-0001-5776-1490
SPIN-code: 8175-0010
Russian Federation, Saint Petersburg

Maya P. Slobodchikova

Saint Petersburg State Pediatric Medical University

Email: limelight@mail.ru
ORCID iD: 0000-0002-8556-095X
SPIN-code: 3360-2299
Russian Federation, Saint Petersburg

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Supplementary files

Supplementary Files
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1. JATS XML
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2. Fig. 1. Age structure of the population of the Arctic zone of the Russian Federation (as of 01/01/2020).

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3. Fig. 2. Structure of mortality in the Arctic zones of the Republic of Sakha (Yakutia) in comparison with the data for the whole republic and in the Russian Federation, (%) in 2015–2019.

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Copyright (c) 2022 Burtseva T.E., Klimova T.M., Gogolev N.M., Sleptsova S.S., Afanaseva L.N., Sinelnikova E.V., Chasnyk V.G., Slobodchikova M.P.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
 


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