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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.1d1" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher">Problems of Social Hygiene, Public Health and History of Medicine</journal-id><journal-title-group><journal-title>Problems of Social Hygiene, Public Health and History of Medicine</journal-title></journal-title-group><issn publication-format="print">0869-866X</issn><issn publication-format="electronic">2412-2106</issn><publisher><publisher-name>Joint-Stock Company Chicot</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">1556</article-id><article-id pub-id-type="doi">10.32687/0869-866X-2024-32-6-1220-1226</article-id><article-categories><subj-group subj-group-type="heading"><subject>Неопределен</subject></subj-group></article-categories><title-group><article-title>The morbidity of adult population in the Russian Federation and its Federal Okrugs and Subjects in 2016–2022</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Starodubov</surname><given-names>Vladimir Ivanovich</given-names></name><email>starodubov@mednet.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Stupak</surname><given-names>Valery Semenovich</given-names></name><email>stupak@mednet.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Manoshkina</surname><given-names>Elena Mikhailovna</given-names></name><email>Emanoshkina2@ya.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff id="aff-1">The Federal State Budget Institution The Central Research Institute for Health Organization and Informatics of Minzdrav of Russia, 127254, Moscow, Russia</aff><aff id="aff-2">The Federal State Budget Institution “The Central Research Institute for Health Organization and Informatics” of Minzdrav of Russia, 127254, Moscow, Russia</aff><pub-date date-type="epub" iso-8601-date="2024-12-09" publication-format="electronic"><day>09</day><month>12</month><year>2024</year></pub-date><volume>32</volume><issue>6</issue><history><pub-date date-type="received" iso-8601-date="2025-04-27"><day>27</day><month>04</month><year>2025</year></pub-date><pub-date date-type="accepted" iso-8601-date="2025-04-27"><day>27</day><month>04</month><year>2025</year></pub-date></history><permissions><copyright-statement>Copyright © 2025,</copyright-statement><copyright-year>2025</copyright-year></permissions><abstract>&lt;p&gt;The population morbidity is one of leading indicators of public health. On the basis of morbidity, not only population needs in various types of medical care are determined, but also development of medical organizations network is prognosticated and effectiveness of health care system is assessed. This approach permits to adjust functioning of population medical care services in each Subject of the Russian Federation. Hence, studying dynamics of adult population morbidity by disease classes and considering regional characteristics continues to be actual.&lt;br /&gt;The purpose of the study is to analyze dynamics of general and newly registered (primary) morbidity of adult population in the Russian Federation, Federal Okrugs and Subjects of the Russian Federation in 20162022.&lt;br /&gt;The research materials and methods included calculation of dynamic series indicators (visibility indicators, growth rates, growth/loss rates), direct ranking method. The indicators of total and newly registered (primary) morbidity per 100,000 of adult population (aged 18 years and older) in dynamics in 20162022 were calculated. The research materials are the statistics collections of the Ministry of Health of the Russian Federation and the Federal State Budget Institution The Central Research Institute for Health Organization and Informatics of Minzdrav of Russia of adult population morbidity of the Russian Federation. The software Microsoft Excel was applied to process statistical data.&lt;br /&gt;The results. The analysis of total morbidity of adult population in the Russian Federation in 20162022 demonstrated that in 2022 value of this indicator made up to 159,545.4 per 100 thousand of population that is 9.0% more than in 2016. The increase of total morbidity is observed in 66 Subjects of the Russian Federation that consists 77.65% of total number of the Subjects. The level of primary morbidity in the Russian Federation increased by 21.9% (from 55227.3 per 100 thousand adults in 2016 to 67326.6 in 2022). The increase of primary morbidity is observed in 81 Subjects of the Russian Federation that consist 95.3% of total number of the Subjects.&lt;br /&gt;The analysis of morbidity demonstrated that in 20162019 its indicators had no significant changes. In 20202022, sanitary and epidemiological well-being of population in the Russian Federation was determined by epidemic situation and global challenge associated with the new corona-virus infection. As a result, in 2020, occurred decreasing of morbidity registration for all classes of diseases, except respiratory diseases. In 2021, began to show increasing of registration of morbidity that proceeded in 2022 in most classes of the ICD-10.&lt;/p&gt;</abstract><kwd-group xml:lang="en"><kwd>new registered (primary) morbidity</kwd><kwd>general morbidity</kwd><kwd>ICD-10</kwd><kwd>COVID-19</kwd><kwd>Subjects of the Russian Federation</kwd><kwd>adult population</kwd><kwd>morbidity structure</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>впервые зарегистрированная (первичная) заболеваемость</kwd><kwd>общая заболеваемость</kwd><kwd>МКБ-10</kwd><kwd>COVID-19</kwd><kwd>субъекты РФ</kwd><kwd>взрослое население</kwd><kwd>структура заболеваемости</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Grebenshchikova A. A. Health as the main indicator of the quality of life of the population. Vestnik sovremennyh issledovanij. 2018;27(12):62–4 (in Russian).</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Karataeva T. A. 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