Characteristics of Primary Morbidity in the Population of the Far Eastern Federal District (Retrospective Analysis)

Cover Page


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Background. The peculiarities of the economic and geographical position of the Far Eastern Federal District determine climatic, socio-biological and medical and organizational characteristics that affect the leading criteria for population health. A relevant and priority direction for the development of the macro-region is the study of the main indicators of population health, reflecting the organizational and economic potential of the region, as well as the preservation and promotion of public health based on the formation of a healthy lifestyle and increasing the availability and quality of medical care. Aims — study and analyse the primary morbidity of the adult population in the Far Eastern Federal District. Methods. A retrospective analytical study was carried out. An analysis of the dynamics of primary morbidity by rate of increase (decrease) and a comparative analysis of average annual primary morbidity, including major classes of diseases diagnosed for the first time in life, in the adult population in the macro-region as a whole and in its 11 constituent entities is given. I–IV, VI–XIV, XVII, XIX classes of diseases were taken into account according to the International Classification of Diseases of the 10th revision. Results. The Far Eastern Federal District ranked 5th in descending order by primary morbidity among other Russian macroregions throughout the study period. There was variability in the primary morbidity ranking among the constituent entities of the district. The dynamics of primary morbidity showed a moderate upward trend in 2017, followed by two years of stable trend, and in 2020 there was a moderate downward trend. The prevalence of disease in patients diagnosed for the first time in the population of the other federal districts of the country was characterised by individual variability. At the same time, in most macro-regions a moderate to pronounced decrease in primary morbidity was found in 2020 (rate of increase (decrease) morbidity: from –2.3 to –7.2%), except for the Central Federal District (rate of increase (decrease) morbidity: –0.1%) and the Urals Federal District (rate of increase (decrease) morbidity: –0.2%), where this indicator remained stable. Conclusions. In the Far Eastern Federal District, characteristic variability in the level, dynamics and structure of primary morbidity among the population has been identified. A general pattern with all-Russian indicators was revealed, consisting in a decrease in incidence in most classes of diseases in 2020, except for X Respiratory disease, in which stability remained. The revealed features of the rank distribution of primary morbidity by classes of diseases in the subjects of the district will make it possible to be based on the principle of targeted distribution of funds when planning the volume of medical care to the population.

Full Text

Restricted Access

About the authors

Valentin B. Shumatov

Pacific State Medical University

Author for correspondence.
Email: shumatov@mail.ru
ORCID iD: 0000-0002-9645-3471

MD, PhD, Professor, Corresponding Member of the RAS

Russian Federation, Vladivostok

Lidia V. Trankovskaya

Pacific State Medical University

Email: trankovskaya@mail.ru
ORCID iD: 0000-0003-4883-4525

MD, PhD, Profess

Russian Federation, Vladivostok

Olga P. Gritsina

Pacific State Medical University

Email: g2010o@mail.ru
ORCID iD: 0000-0002-2484-9442

MD, PhD, Assistant Professor

Russian Federation, Vladivostok

Anna K. Yatsenko

Pacific State Medical University

Email: annakonstt@mail.ru
ORCID iD: 0000-0003-4326-1801

MD, PhD, Assistant Professor

Russian Federation, Vladivostok

References

  1. Газимова В.Г., Шастин А.С., Малых О.Л., и др. Некоторые региональные аспекты заболеваемости трудоспособного населения Уральского федерального округа // Здоровье населения и среда обитания — ЗНиСО. — 2021. — Т. 29. — № 11. — С. 7–15. [Gazimova VG, Shastin AS, Malykh OL, et al. Regional aspects of disease incidence in the working-age population of the Ural Federal District. Public Health and Life Environment – PH&LE. 2021;29(11):7–15. (In Russ.)] doi: https://doi.org/10.35627/2219-5238/2021-29-11-7-15
  2. Проскурина Н.В. Состояние здоровья населения в Российской Федерации: статистический аспект // Вестник Алтайской академии экономики и права. — 2020. — № 6–1. — С. 77–83. [Proskurina NV. Sostojanie zdorov’ja naselenija v Rossijskoj Federacii: statisticheskij aspect. Vestnik Altajskoj akademii jekonomiki i prava. 2020;6–1:77–83. (In Russ.)] Available from: https://vaael.ru/ru/article/view?id=1167 (accessed: 19.04.2023).
  3. Руголь Л.В., Поликарпов А.В., Голубев Н.А., и др. Динамика первичной заболеваемости сельского населения в Дальневосточном федеральном округе // Современные проблемы здравоохранения и медицинской статистики. — 2022. — № 4. — С. 663–688. [Rugol LV, Polikarpov AV, Golubev NA, et al. Dynamics of primary incidence in population groups. Scientific Journal “Current problems of health care and medical statistics. 2022;4:663–688. (In Russ.)] doi: https://doi.org/10.24412/2312-2935-2022-4-663-688
  4. Seifu N, Engida Y, Nejimu B, et al. Population based survey of chronic non-communicable diseases in Dubti and Asayita towns of Afar region, Northeastern Ethiopia. Annals of Global Health. 2016;82(3):531. doi: https://doi.org/10.1016/j.aogh.2016.04.436
  5. Савина А.А., Леонов С.А., Сон И.М., и др. Основные тенденции первичной заболеваемости населения в субъектах Российской Федерации в 2008–2017 гг. // Проблемы социальной гигиены, здравоохранения и истории медицины. — 2019. — Т. 27. — № 2. — С. 118–122. [Savina AA, Leonov SA, Son IM, et al. The main trends in primary morbidity of population in the subjects of the Russian Federation in 2008–2017. The Problems of Social Hygiene, Public Health and History of Medicine. 2019;27(2):118–122. (In Russ.)] doi: http://dx.doi.org/10.32687/0869-866X-2019-27-2-118-122
  6. Abebe SM, Andargie G, Shimeka A, et al. The prevalence of non-communicable diseases in northwest Ethiopia: survey of Dabat Health and Demographic Surveillance System. BMJ Open. 2017;7:e015496. doi: https://doi.org/10.1136/bmjopen-2016-015496
  7. Колосов В.П., Манаков Л.Г., Полянская Е.В., и др. Динамика заболеваемости населения болезнями органов дыхания в пандемический по COVID-19 период на территории Дальневосточного федерального округа // Бюллетень физиологии и патологии дыхания. — 2021. — № 81. — С. 8–18. [Kolosov VP, Manakov LG, Polyanskaya EV, et al. Dynamics of morbidity of the population with respiratory diseases in the pandemic COVID-19 period in the Far Eastern Federal District. Bûlleten’ fiziologii i patologii dyhaniâ = Bulletin Physiology and Pathology of Respiration. 2021;81:8–18. (In Russ.)] doi: https://doi.org/10.36604/1998-5029-2021-81-8-18
  8. Герасимов А.Н. Определение статистической достоверности различий в заболеваемости // Эпидемиология и вакцинопрофилактика. — 2014. — Т. 78. — № 5. — С. 54–60. [Gerasimov AN. Determination of statistically significant differences of morbidity. Jepidemiologija i vakcinoprofilaktika. 2014;5(78):54–60. (In Russ.)].
  9. Гржибовский А.М., Иванов С.В., Горбатова М.А. Сравнение количественных данных трех и более независимых выборок с использованием программного обеспечения Statistica и SPSS: параметрические и непараметрические критерии // Наука и Здравоохранение. — 2016. — № 4. — С. 5–37. [Grzhibovskii AM, Ivanov SV, Gorbatova MA. Analysis of quantitative data in three or more independent groups using statistica and spss software: parametric and non-parametric tests. Nauka i Zdravookhranenie. 2016;4:5–37. (In Russ.)]
  10. Наркевич А.Н., Виноградов К.А., Гржибовский А.М. Множественные сравнения в биомедицинских исследованиях: проблема и способы решения // Экология человека. — 2020. — № 10. — С. 55–64. [Narkevich AN, Vinogradov KA, Grzhibovskii AM. Multiple Comparisons in Biomedical Research: the Problem and its Solutions. Ekologiya cheloveka [Human Ecology]. 2020;10:55–64. (In Russ.)] doi: https://doi.org/10.33396/1728-0869-2020-10-55-64
  11. Унгуряну Т.Н., Гржибовский А.М. Краткие рекомендации по описанию, статистическому анализу и представлению данных в научных публикациях // Экология человека. — 2011. — № 5. — С. 55–60. [Unguryanu TN, Grzhibovskii AM. Brief recommendations on description, analysis and presentation of data in scientific papers. Ekologiya cheloveka [Human Ecology]. 2011;5:55–60. (In Russ.)] Available from: https://cyberleninka.ru/article/n/kratkie-rekomendatsii-po-opisaniyu-statisticheskomu-analizu-i-predstavleniyu-dannyh-v-nauchnyh-publikatsiyah (accessed: 11.09.2023).
  12. Приказ Министерства здравоохранения РФ от 15 января 2020 г. № 8 «Об утверждении Стратегии формирования здорового образа жизни населения, профилактики и контроля неинфекционных заболеваний на период до 2025 года». [Prikaz Ministerstva zdravoohranenija RF ot 15 janvarja 2020 g. No. 8 “Ob utverzhdenii Strategii formirovanija zdorovogo obraza zhizni naselenija, profilaktiki i kontrolja neinfekcionnyh zabolevanij na period do 2025 goda”. (In Russ.)]
  13. Перхов В.И., Корхмазов В.Т., Ходакова О.В. Влияние пандемии COVID-19 на показатели заболеваемости населения // Современные проблемы здравоохранения и медицинской статистики. — 2022. — № 4. — С. 588–609. [Perkhov VI, Korkhmazov VT, Khodakova OV. Influence of the pandemic of COVID-19 on indicators of incidence of the population. Current problems of health care and medical statistics. 2022;4:588–609. (In Russ.)] doi: https://doi.org/10.24412/2312-2935-2022-4-588-609
  14. Костров В.И., Бачурина М.Ю., Гаджиев Н.А. Влияние заболеваемости COVID-19 на формирование уровня первичной заболеваемости и структуру инвалидности населения // Университетская медицина Урала. — 2021. — Т. 7. — № 4 (27). — С. 58–60. [Kostrov VI, Bachurina MYu, Gadzhiev NA. Vlijanie zabolevaemosti COVID-19 na formirovanie urovnja pervichnoj zabolevaemosti i strukturu invalidnosti naselenija. Universitetskaja medicina Urala. 2021;4(27):58–60. (In Russ.)]

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2023 "Paediatrician" Publishers LLC



This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies