<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE root>
<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">1444</article-id><article-id pub-id-type="doi">10.32687/0869-866X-2024-32-2-134-140</article-id><article-categories><subj-group subj-group-type="heading"><subject>Неопределен</subject></subj-group></article-categories><title-group><article-title>The gender aspects of changes in mortality during COVID-19 pandemic as exemplified by Moscow</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Sabgaida</surname><given-names>T P</given-names></name><email>tsabgaida@mail.ru</email><xref ref-type="aff" rid="aff-1"/><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Zubko</surname><given-names>A V</given-names></name><email>zubko@mednet.ru</email><xref ref-type="aff" rid="aff-1"/><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Evdokushkina</surname><given-names>G N</given-names></name><email>evdok@mednet.ru</email><xref ref-type="aff" rid="aff-1"/><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Muzykantova</surname><given-names>N N</given-names></name><email>natam9775@mail.ru</email><xref ref-type="aff" rid="aff-1"/></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 Institute of Demographic Studies of the Federal State Budget Institution “The Federal Research Sociological Center of The Russian Academy of Sciences”, 119333, Moscow, Russia</aff><pub-date date-type="epub" iso-8601-date="2024-04-18" publication-format="electronic"><day>18</day><month>04</month><year>2024</year></pub-date><volume>32</volume><issue>2</issue><history><pub-date date-type="received" iso-8601-date="2025-04-20"><day>20</day><month>04</month><year>2025</year></pub-date><pub-date date-type="accepted" iso-8601-date="2025-04-20"><day>20</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 mortality is a major component of damage caused by COVID-19. The comparative analysis of changes in mortality was carried out on the basis of the ROSSTAT data over 20122020 to determine differences in losses of male and female population caused by pandemic in Moscow. It is demonstrated that at close trends in mortality of males and females before pandemic, in 2020 their mortality changed differently. At equal increase of male and female mortality, main contribution into excess mortality (excluding contribution of COVID-19) was made approximately equally by diseases of nervous system and circulatory system in males and diseases of nervous system in females.&lt;br /&gt;The male mortality from COVID-19 is 1.9 times higher than female mortality. As a result of younger average age of death the amount of economic losses in terms of years of potential life lost (PYLL) due to premature death of males because of COVID-19 exceeds economic losses due to premature death of females up to 2 times.&lt;br /&gt;Although the average age of death of females from all causes decreased by smaller amount, their values of PYLL increased more, mainly due to higher rate of female mortality from disease of nervous system and from mortality related to drug addiction.&lt;br /&gt;In Moscow, the highest increase of PYLL is conditioned by dearth related to drug addiction and alcohol consumption. In the structure of this indicator in males they are ranked fourth and fifth. In females, alcohol-related deaths are ranked as sixth and drug-related deaths as eighth.&lt;br /&gt;The pandemic, contributing into increase in economic losses, didnt change their leading causes: diseases of circulatory system, external causes and neoplasms in males; neoplasms, diseases of circulatory system and external causes in females. The value of PYLL due to death from COVID-19 takes sixth place in males and fourth place in females.&lt;/p&gt;</abstract><kwd-group xml:lang="en"><kwd>structure of excess mortality</kwd><kwd>lost years of potential life</kwd><kwd>drug-related death</kwd><kwd>alcohol-related death</kwd><kwd>average age at death</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>структура избыточной смертности</kwd><kwd>потерянные годы потенциальной жизни</kwd><kwd>смерть, связанная с наркотиками</kwd><kwd>смерть, обусловленная алкоголем</kwd><kwd>средний возраст смерти</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Meng Y., Wu P., Lu W., Liu K., Ma K., Huang L., Cai J., Zhang H., Qin Y., Sun H., Ding W., Gui L., Wu P. Sex-specific clinical characteristics and prognosis of Coronavirus Disease-19 infection in Wuhan, China: a retrospective study of 168 severe patients. PLoS Pathog. 2020;16(4):e1008520. https://doi.org/10.1371/journal.ppat.1008520</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Haitao T., Vermunt J. V., Abeykoon J., Ghamrawi R., Gunaratne M., Jayachandran M., Narang K., Parashuram S., Suvakov S., Garovic V. D. COVID-19 and sex differences: mechanisms and biomarkers. Mayo Clin. Proc. 2020;95(10):2189–203. doi: 10.1016/j.mayocp.2020.07.024</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Nekaeva E. S., Bolshakova A. E., Malysheva E. S., Galova E. A., Makarova E. V., Nekrasova T. A., Polyakova I. V., et al. Gender characteristics of the novel coronavirus infection (covid-19) in middle-aged adults. Sovremennye tehnologii v medicine. 2021;13(4):16–26 (in Russian).</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Khaksari M., Sabet N., Soltani Z., Bashiri H. Gender-related response of body systems in COVID-19 affects outcome. Infektsiya i immunitet 2021;11(6):1020–36 (in Russian).</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Grigor'eva N. S. Gender Dimension of Healthcare in Russia and the World in Conditions of Uncertainty: COVID-19. In: Gender policy in Russia and in the world: economics, management, society. Materials of the All-Russian scientific conference [Gendernaya politika v Rossii i v mire: ekonomika, upravleniye, obshchestvo: Materialy Vserossiyskoy nauchnoy konferentsii]. Ivanovo: Ivanovo State University; 2021. P. 157–64 (in Russian).</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Blinova T. V., Vyalshina A. A., Nozhkina I. A. Gender variations in elf-preserving behavior during the COVID-19 pandemic among the students in Saratov. Ekologiya cheloveka = Human ecology. 2021;(9):55–63. doi: 10.33396/1728-0869-2021-9-55-63 (in Russian).</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Kaira A. N., Svitich O. A., Murzina A. A. Epidemiological features of age-gender distribution of coronavirus infection COVID-19 incidence and mortality (review). Sanitarnyy vrach = Sanitary doctor. 2021;(7):18–31. doi: 10.33920/med-08-2107-02 (in Russian).</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Kamdina L. V. Assessing the impact of the COVID-19 pandemic for the quality of life of the population. Vestnik Chelyabinskogo gosudarstvennogo universiteta = Bulletin of Chelyabinsk State University. 2020;445(11):224–30 (in Russian).</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Rybakovskii L. L., editor. Practical demographics [Prakticheskaya demografiya]. Мoscow: CSP; 2005. 280 р. (in Russian).</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Shepeleva I. I., Chernysheva A. A., Kiryanova E. M., Salnikova L. I., Gurina O. I. The nervous system damages and psychological and psychiatric complications on the COVID-19 pandemic. Sotsial'naya i klinicheskaya psikhiatriya 2020;30(4):76–82 (in Russian).</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Shmatova Yu. E. Mental health of population in the COVID-19 pandemic: trends, consequences, factors, and risk groups. Ekonomicheskiye i sotsial'nyye peremeny: fakty, tendentsii, prognoz = Economic and Social Changes: Facts, Trends, Forecast. 2021;14(2):201–24 (in Russian).</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Belopasov V. V., Yachou Y., Samoilova E. M., Baklaushev V. P. The Nervous System Damage in COVID-19]. Klinicheskaya praktika = Journal of Clinical Practice. 2020;11(2):60–80. doi: 10.17816/clinpract34851 (in Russian).</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Novikova L. B., Akopian A. P., Sharapova K. M., Latypova R. F. Neurological and mental disorders associated with COVID-19. Arterial'naya gipertenziya = Arterial Hypertension. 2020;26(3):317–26 (in Russian).</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Sabgayda T. P., Zubko A. V., Semyonova V. G. Changes in the structure of the death causes in the second year of the COVID-19 pandemic in Moscow. Social'nye aspekty zdorov'a naselenia = Social Aspects of Population Health. 2021;67(4):1. Available at: http://vestnik.mednet.ru/content/view/1280/30/lang,ru/ (in Russian).</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Davydova A. Yu. Pandemic (epidemic) as a social phenomenon. Naukosfera. 2021;(8-2):72–8 (in Russian).</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Drapkina O. М., Samorodskaya I. V. Dynamics of regional mortality rates for men and women from diseases and external causes in Russia for the period 2016–2019 compared to 2020. Profilakticheskaya meditsina = The Russian Journal of Preventive Medicine. 2022;25(4):29–34 (in Russian).</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Drapkina O. М., Samorodskaya I. V., Bolotova E. V., Starinskaya M. A. The nosological structure of years of potential life lost in the economically active age in the Russian Federation in 2016. Profilakticheskaya meditsina = The Russian Journal of Preventive Medicine. 2019;22(1):22–8. doi: 10.17116/profmed20192201122 (in Russian).</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Morev M. V., Korolenko A. V. Assessment of demographic and socioeconomic losses due to premature mortality in the populations of Russia and Vologda oblast. Problemy prognozirovaniya. 2018;167(2):110–23 (in Russian).</mixed-citation></ref></ref-list></back></article>
