SEGMENTATION OF TERRITORIES OF THE REPUBLIC OF BASHKORTOSTAN ON THE LEVEL OF MORTALITY FROM MALIGNANT NEOPLASMS

Cover Page

Cite item

Full Text

Abstract

Malignant neoplasms are an actual problem due to their high prevalence, high level of disability, tendency to increase. The purpose of the study is the segmentation of the territories of the Republic of Bashkortostan (RB) by the level of mortality from malignant neoplasms (MN) as a whole by municipalities, as well as by gender and by localizations of malignant neoplasms. Material and methods. The data of official statistics of the Territorial body of the Federal State Statistics Service of the Republic of Belarus (Table C 51), Rosstat were analyzed. The study was conducted using k-means cluster analysis and rating, implemented in the Statistica system. Results. There is a significant increase in the death rate of the entire population of ZN in 41 municipalities. Analysis of standardized mortality rates shows that the mortality rate per 100 thousand of the population in the Republic of Belarus is lower than similar indicators in the Russian Federation. The exception is mortality in esophageal cancer, which is higher in both men and women than in the Russian Federation. It has been established that the regions of the fourth and fifth clusters are unfavorable in terms of mortality from MN. Discussion. Revealed a pronounced uneven distribution of the territory of the Republic of Belarus with a tendency to an increase in mortality from MN in many territories. It is possible that the main reasons for the increase in mortality rates are worsening socio-economic conditions, lower living standards, increased chemical stress in urbanized areas (air pollution), as well as insufficient promotion of healthy lifestyles among the population, preventive knowledge, and health problems. care, its poor quality. Conclusion. As a result of the analysis, it was possible to establish that cluster analysis allows us to identify areas that have similar problems related to the level and trends of mortality from malignant tumors.

About the authors

P. A. Askarov

Russian State Geological Prospecting University. S. Ordzhonikidze

Author for correspondence.
Email: noemail@neicon.ru
Russian Federation

A. O. Karelin

First St. Petersburg State Medical University. acad. I.P. Pavlova

Email: noemail@neicon.ru
Russian Federation

I. A. Lakman

Ufa State Aviation Technical University”

Email: noemail@neicon.ru
Russian Federation

L. F. Rozanova

Ufa State Aviation Technical University”

Email: noemail@neicon.ru
Russian Federation

Z. F. Askarova

Bashkir State Medical University

Email: zagira_a@mail.ru
Russian Federation

References

  1. Чиссов В.И., Старинский В.В., Петрова Г.В., ред. Состояние онкологической помощи населению России в 2011 году. М.; 2012.
  2. Roquette R., Nunes B., Painho M. The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013). Popul. Health Metr. 2018; 16(1): 6. doi: 10.1186/s12963-018-0164-6
  3. Иванова Т.А. Смертность населения от основных причин: исследование положения регионов РФ. Системное управление. 2016; (1): 16.
  4. Тихомирова Т.М. Методы анализа состояния и потерь здоровья населения в регионах России. Экологическая экспертиза. 2014; (1): 152-7.
  5. Коляда И.Н., Котова А.И., Малахова И.В., Ростовцев В.Н. Индексный анализ медико-демографической ситуации в районах Минской области. Вопросы организации и информатизации здравоохранения. 2016; (2): 25-8.
  6. Чиссов В.И., Старинский В.В., Петрова Г.В., ред. Злокачественные новообразования в России в 2008 году (заболеваемость и смертность). М.; 2010.
  7. Каприн А.Д., Старинский В.В., Петрова Г.В., ред. Злокачественные новообразования в России в 2013 году (заболеваемость и смертность). М.; 2016.
  8. Демографические процессы в Республике Башкортостан: Статистический сборник. Уфа: Башкортостанстат; 2000-2016.
  9. Демографический ежегодник России. М.: Росстат; 2000-2017.
  10. Плюта В. Сравнительный многомерный анализ в экономических исследованиях: Методы таксономии и факторного анализа. Пер. с пол. М.: Статистика; 1980.
  11. Бардасов С.А. Оптимальное число интервалов гистограммы. В кн.: Материалы VI международной научно-практической конференции «Физико-математические науки и информационные технологии: Проблемы и тенденции развития». Новосибирск: СибАК; 2012.
  12. Agovino M., Aprile M.C., Garofalo A., Mariani A. Cancer mortality rates and spillover effects among different areas: A case study in Campania (southern Italy). Soc. Sci. Med. 2018; 204: 67-83. doi: 10.1016/j.socscimed.2018.03.027
  13. Benedetti M., Lavarone I., Comba P. Cancer risk associated with residential proximity to industrial sites: A review. Arch. Environ. Health. 2001; 56(4): 342-9. doi: 10.1080/00039890109604466
  14. Aungkulanon S., Tangcharoensathien V., Shibuya K., Bundhamcharoen K., Chongsuvivatwong V. Area-level socioeconomic deprivation and mortality differentials in Thailand: Results from principal component analysis and cluster analysis. Int. J. Equity Health. 2017; 16(1): 117. doi: 10.1186/s12939-017-0613-z

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2020 Askarov P.A., Karelin A.O., Lakman I.A., Rozanova L.F., Askarova Z.F.

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

СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ:  ПИ № ФС77-50668 от 13.07.2012 г.