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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">medlit</journal-id><journal-title-group><journal-title xml:lang="ru">Гигиена и санитария</journal-title><trans-title-group xml:lang="en"><trans-title>Hygiene and Sanitation</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0016-9900</issn><issn pub-type="epub">2412-0650</issn><publisher><publisher-name>Federal Scientific Center of Hygiene named after F.F. Erisman</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.47470/0016-9900-2022-101-11-1424-1431</article-id><article-id custom-type="elpub" pub-id-type="custom">medlit-2716</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>СОЦИАЛЬНО-ГИГИЕНИЧЕСКИЙ МОНИТОРИНГ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SOCIO-HYGIENIC MONITORING</subject></subj-group></article-categories><title-group><article-title>Оценка потенциала роста ожидаемой продолжительности жизни населения с использованием искусственных нейронных сетей</article-title><trans-title-group xml:lang="en"><trans-title>Assessing potential of the gain in the life expectancy of population using artificial neural networks</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2534-5713</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Клейн</surname><given-names>С. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kleyn</surname><given-names>Svetlana V.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4755-8306</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Глухих</surname><given-names>Максим Владиславович</given-names></name><name name-style="western" xml:lang="en"><surname>Glukhikh</surname><given-names>Maxim V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Мл. науч. сотр. отд. системных методов санитарно-гигиенического анализа и мониторинга ФБУН «ФНЦ медико-профилактических технологий управления рисками здоровью населения», 614045, Пермь.</p><p>e-mail: gluhih@fcrisk.ru</p></bio><bio xml:lang="en"><p>Junior research Department of Sanitary and Hygienic Analysis and Monitoring Systemic Methods, Perm, 614045, Russian Federation.</p><p>e-mail: gluhih@crisk.ru</p></bio><email xlink:type="simple">gluhih@fcrisk.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФБУН «Федеральный научный центр медико-профилактических технологий управления рисками здоровью населения» Федеральной службы по надзору в сфере защиты прав потребителей и благополучия человека</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Federal Scientific Center for Medical and Preventive Health Risk Management Technologies</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>26</day><month>12</month><year>2022</year></pub-date><volume>101</volume><issue>11</issue><fpage>1424</fpage><lpage>1431</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Клейн С.В., Глухих М.В., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Клейн С.В., Глухих М.В.</copyright-holder><copyright-holder xml:lang="en">Kleyn S.V., Glukhikh M.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.rjhas.ru/jour/article/view/2716">https://www.rjhas.ru/jour/article/view/2716</self-uri><abstract><sec><title>Введение</title><p>Введение. В текущих условиях поиск и апробация новых аналитических систем, способных к прогнозированию медико-демографической ситуации с учётом многофакторного влияния среды обитания, особенно актуальны.</p><p>Цель исследования — установление региональных особенностей и прогнозных оценок потенциала роста показателя ожидаемой продолжительности жизни (ОПЖ) при рождении с изменением модифицирующих его социально-гигиенических детерминант на примере субъекта Российской Федерации с напряжённой медико-демографической ситуацией на фоне стабильных экономических условий.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Прогнозная оценка потенциала роста ОПЖ осуществлялась путём моделирования причинно-следственных связей с использованием искусственных нейронных сетей между показателями среды обитания и образа жизни – детерминантами, определяющими популяционное здоровье.</p></sec><sec><title>Результаты</title><p>Результаты. Показано, что предложенная авторами методика оптимальна, точна (различия составили 0,98%) и может успешно применяться при прогнозировании потенциала роста ОПЖ на региональном уровне с установлением приоритетных модифицирующих факторов. Установлено, что показатель ожидаемой продолжительности жизни на исследуемой территории (Пермский край) при текущих трендах изменения детерминант к 2024 г. и достижении целевых показателей национальных проектов и программ регионального развития может увеличиться на 661,6 дня до 73,12 года, к 2030 г. — на 855,7 дня до 73,65 года. Наиболее значимыми группами детерминирующих показателей ОПЖ факторов на исследуемой территории на фоне стабильной экономической ситуации являются показатели санитарно-эпидемиологического благополучия населения (условия труда), показатели системы здравоохранения (обеспеченность населения врачами), показатели социально-демографической сферы (расходы на социальную политику), образа жизни (доля населения, занимающегося физической культурой и спортом; потребление овощей и фруктов; розничные продажи алкогольной продукции) — от 51,2 до 228,6 дня.</p></sec><sec><title>Ограничения исследования</title><p>Ограничения исследования. К ограничениям данного исследования можно отнести «стационарность» модели за счёт обучения на данных 2010–2019 гг., использование конкретного набора показателей, отсутствие учёта влияния текущих эпидемиологических процессов (пандемии COVID-19).</p></sec><sec><title>Заключение</title><p>Заключение. На примере субъекта Российской Федерации с напряжённой медико-демографической ситуацией показано, что к 2024 г. при условии восстановления допандемийной динамики изменения социально-гигиенических детерминант возможно достижение скорректированных целевых значений показателя ОПЖ населения исследуемой территории. Достижение целевых значений ОПЖ к 2030 г. требует реализации дополнительных проектных мероприятий с учётом региональной специфики и акцентом на управление приоритетными детерминантами и снижение смертности в трудоспособном возрасте.</p><p>Соблюдение этических стандартов. Для проведения данного исследования не требовалось заключения комитета по биомедицинской этике (исследование выполнено на общедоступных данных официальной статистики).</p></sec><sec><title>Участие авторов</title><p>Участие авторов: Клейн С.В. — концепция и дизайн исследования, редактирование, написание текста, утверждение окончательного варианта статьи, ответственность за целостность всех частей статьи; Глухих М.В. — сбор и обработка материала, статистическая обработка данных, написание текста.</p></sec><sec><title>Конфликт интересов</title><p>Конфликт интересов. Авторы декларируют отсутствие явных и потенциальных конфликтов интересов в связи с публикацией данной статьи.</p></sec><sec><title>Финансирование</title><p>Финансирование. Исследование не имело спонсорской поддержки.</p></sec><sec><title>Поступила</title><p>Поступила: 13.09.2022 / Принята: 03.10.2022 / Опубликована: 30.11.2022</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. At present it is especially vital to search for and test new analytical systems that can give a possibility to predict a medical and demographic situational lowing for multifactorial influence exerted by the environment.</p><p>Our research goal was to establish regional peculiarities and predictive estimates of potential gain in such an important indicator as life expectancy at birth (LEB) depending on changes in socio-hygienic determinants potent of modifying it. To do that, we took data collected in a RF region where the current demographic situation was rather tense against the backdrop of stable economic conditions.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. A potential of the gain in LEB was estimated by modelling cause-effects relations between environmental indicators and life-style related ones, or determinants that determined population health. Models were created by using artificial neural networks.</p></sec><sec><title>Results</title><p>Results. Our methodology was proven to be optimal and precise (differences are equal to 0.98%). It can be applied quite successfully to predict a potential gain in LEB at a regional level together with identifying what modifying factors should be considered priority ones. LEB on the analyzed territory (the Perm region) was established to likely grow by 661.6 days by 2024 and reach 73.12 years; by 855.7 days by 2030 and reach 73.65 years if the current trends related to changes in the analyzed determinants persisted and the achievement of target indicators of national projects and regional development programs. In case the relevant targets set within national projects and regional development programs were achieved, this indicator would grow by 661.6 days and reach 73.12 years. The most significant groups of factors that determine LEB on the analyzed territory against the backdrop of stable economic situation include sanitary-epidemiological welfare (working conditions et al.), public healthcare indicators (population provided with sufficient number of doctors), sociodemographic indicators (expenses on social policies), lifestyle factors (the proportion of the population involved in physical culture and sports; consumption of vegetables and fruits; retail sales of alcoholic beverages, etc.). Their contribution to the gain in LEB varies from 51.2 to 228.6 days.</p></sec><sec><title>Limitations</title><p>Limitations. Limitations of the study include the model being “stationary” due to its training relying on data collected in 2010–2019; use of a specific set of indicators; failure to consider the influence exerted by the current epidemiological processes (the COVID-19 pandemics).</p></sec><sec><title>Conclusion</title><p>Conclusion. We analyzed data collected in an RF region with a rather tense demographic situation and established that by 2024 an adjusted target LEB value would be achieved there if the trend in changes in socio-hygienic determinants recovered to its pre-pandemic levels. Achievement of target LEB values by 2030 requires additional project activities that consider specific regional features and focus on managing priority determinants and reducing mortality among working age population.</p><p>Compliance with ethical standards. No approval by the committee on biomedical ethics was required to accomplish this study (it was based on free available data taken from the official statistical reports).</p></sec><sec><title>Contribution</title><p>Contribution: Kleyn S.V. — research concept and design, editing, writing the text, approval of the final version of the article, responsibility for the integrity of all parts of the article; Glukhikh M.V. — statistical data processing, collection and processing material, writing the text.  </p></sec><sec><title>Conflict of interest</title><p>Conflict of interest. The authors declare no conflict of interest. </p></sec><sec><title>Acknowledgement</title><p>Acknowledgement. The study had no sponsorship. </p></sec><sec><title>Received</title><p>Received: September 13, 2022 / Accepted: October 3, 2022 / Published: November 30, 2022 </p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>ожидаемая продолжительность жизни</kwd><kwd>социально-гигиенические детерминанты</kwd><kwd>искусственные нейронные сети</kwd><kwd>факторы среды обитания</kwd><kwd>факторы образа жизни</kwd><kwd>региональный уровень</kwd></kwd-group><kwd-group xml:lang="en"><kwd>life expectancy at birth</kwd><kwd>socio-hygienic determinants</kwd><kwd>artificial neural networks</kwd><kwd>habitat factors</kwd><kwd>lifestyle factors</kwd><kwd>regional level</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">WHO. World health statistics 2020: monitoring health for the SDGs, sustainable development goals. Geneva; 2020. 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