Lost years of life as a result of premature mortality in municipal districts of Arkhangelsk oblast in 2010–2019

Fattakhov, Timur; Mironova, Anna

doi:10.5922/1994-5280-2021-1-8

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…The level and structure of mortality in Moscow and other megacities of the world were compared (Andreev et al 2016). There are papers assessing mortality and its age characteristics at the municipal level within individual regions: Kostroma Region (Denisenko, Nikolaeva 2015;Denisenko 2012) the Khanty-Mansi Autonomous District (Ivanova et al 2009), Arkhangelsk Region (Fattakhov, Mironova 2021). In a number of domestic works, infant mortality is estimated at the municipal level to calculate the human development index: Arkhangelsk Region (Ushakova et al 2018), the Trans-Baikal Territory and the Republic of Buryatia (Valeeva 2016).…”

Section: Introductionmentioning

confidence: 99%

Population mortality in the central Russia municipalities

Fattakhov¹,

Mironova²

2022

POPECON

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The Central Federal District (CFD) is the most populous district in Russia, as of the beginning of 2021, 27% of the Russian population lived out there. However, the CFD mortality rate is characterized by a significant variation across different territories of the District. The purpose of this study is to assess the CFD territorial differentiation of mortality rate based on life expectancy with a breakdown on municipalities in 2010-2019. Life expectancy by CFD municipality and urban district was based on information about population size of the CDF municipalities and urban districts, obtained from the database on municipalities for the period 2010-2020 and individual non-personalized Rosstat (Federal State Statistics Service) data on cause-of-death mortality. A total of 326 municipalities and 63 urban districts were included in the analysis. A total of 11.5 thousand life tables were developed. The analysis shows a significant differentiation of mortality rate at the municipal level. Even though the CFD life expectancy is above the Russian average mainly due to high levels of life expectancy in Moscow, the vast majority of the CFD municipalities report a life expectancy below the Russian average. The worst situation with mortality in the CFD is developed in municipalities with a population of less than 10 thousand people. The main factor for a high gap in life expectancy across territories and gender is a high male mortality in working ages. There are significant reserves of for life expectancy growth within the CFD. These reserves are concentrated in the regional capitals with adjacent municipalities, as well as other large municipalities with a population over 100 thousand people.

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Section: Introductionmentioning

confidence: 99%

Population mortality in the central Russia municipalities

Fattakhov¹,

Mironova²

2022

POPECON

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Potential Years of Life Lost in the Population of the Orenburg Region in 2019–2020

Duisembaeva¹,

Борщук²,

Бегун³

2022

PH&LE

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Introduction: Along with the mortality rate, the indicator of Potential Years of Life Lost (PYLL) is used to assess health losses in the population. Objective: To assess the structure and rates of mortality from diseases of the circulatory system and to estimate the number of potential years of life lost due to this category of disorders in the population of the Orenburg Region. Methods: We conducted a retrospective analysis of deaths registered among the population of the Orenburg Region in 2010– 2020 using a depersonalized database of medical death certificates within the mortality monitoring system of the Medical Information and Analytical Center of the Orenburg Region. The results were evaluated using parametric and nonparametric methods. Potential years of life lost due to the diseases of the circulatory system were estimated by 5-year age groups for the population aged 18–75 in the years 2019 and 2020. Results: We established that the greatest demographic and socio-economic damage was caused by the diseases of the circulatory system, external causes of death, and neoplasms. We also estimated that in 2019, the mortality rate from diseases of the circulatory system was 633.7 per 100,000 population, i.e. 0.7 % lower than that in 2018 (638.2 per 100,000). In 2010–2020, the circulatory disease mortality rate was the highest in 2010 (842.0 per 100,000 population) and the lowest in 2016 (608.2 per 100,000). The average age of the deceased was 72.9 ± 13.8 years, and we observed its increase from 72.0 ± 10.9 years in 2019 to 73.6 ± 9.4 years in the year 2020 (p = 0.014). In 2019, the indicator of premature mortality was 30,895 and 10,515 years for men and women, including 24,323 and 5,404 potential years of life lost in working-age men and women (< 59 and < 54 years of age), respectively. In 2020, the number of PYLL rose to 39,425 and 16,868 years in men and women, respectively. We found significant age and sex differences in the level of losses from premature mortality. Conclusion: Our findings show that the regional mortality rates from diseases of the circulatory system in 2010–2020 exceeded the national averages. The structure of causes of death from diseases of the circulatory system did not change. In 2020, the number of potential years of life lost increased compared to 2019 and was more than twice as high for men than for women.

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Lost years of life as a result of premature mortality in municipal districts of Arkhangelsk oblast in 2010–2019

Cited by 2 publications

References 11 publications

Population mortality in the central Russia municipalities

Population mortality in the central Russia municipalities

Potential Years of Life Lost in the Population of the Orenburg Region in 2019–2020

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