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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">10.47470/0016-9900-2024-103-11-1278-1285</article-id><article-id custom-type="edn" pub-id-type="custom">nlysef</article-id><article-id custom-type="elpub" pub-id-type="custom">medlit-4451</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>МЕДИЦИНА ТРУДА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>OCCUPATIONAL HEALTH</subject></subj-group></article-categories><title-group><article-title>Биомаркёры хронического стресса работников металлообрабатывающего производства</article-title><trans-title-group xml:lang="en"><trans-title>Biomarkers of chronic stress in assessing the health status in employees at metal processing enterprises</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0009-6254-3506</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Безрукова</surname><given-names>Галина Александровна</given-names></name><name name-style="western" xml:lang="en"><surname>Bezrukova</surname><given-names>Galina A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Доктор мед. наук, доцент, гл. науч. сотр. отд. медицины труда, Саратовский МНЦ гигиены ФБУН «ФНЦ МПТ УРЗН», 410022, Саратов, Россия</p><p>e-mail: bezrukovagala@yandex.ru</p></bio><bio xml:lang="en"><p>DSc (Medicine), chief researcher of the Department of occupational medicine, Saratov Hygiene Medical Research Center, Saratov, 410022, Russian Federation</p><p>e-mail: bezrukovagala@yandex.ru</p></bio><email xlink:type="simple">bezrukovagala@yandex.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/0000-0003-1463-0559</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Новикова</surname><given-names>Тамара Анатольевна</given-names></name><name name-style="western" xml:lang="en"><surname>Novikova</surname><given-names>Tamara A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Канд. биол. наук, доцент, зав. лаб. гигиены труда, Саратовский МНЦ гигиены ФБУН «ФНЦ МПТ УРЗН», 410022, Саратов, Россия</p><p>e-mail: novikovata-saratov@yandex.ru</p></bio><bio xml:lang="en"><p>PhD (Biology), associate professor, head of the Laboratory of occupational health, Saratov Hygiene Medical Research Center, Saratov, 410022, Russian Federation</p><p>e-mail: novikovata-saratov@yandex.ru</p></bio><email xlink:type="simple">novikovata-saratov@yandex.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/0000-0002-7324-0959</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кочетова</surname><given-names>Наталия Александровна</given-names></name><name name-style="western" xml:lang="en"><surname>Kochetova</surname><given-names>Natalya А.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Инженер отд. медицины труда, Саратовский МНЦ гигиены ФБУН «ФНЦ МПТ УРЗН», 410022, Саратов, Россия</p><p>e-mail: kochetova_kna@mail.ru</p></bio><bio xml:lang="en"><p>Engineer of the Department of Occupational Medicine, Saratov Hygiene Medical Research Center, Saratov, 410022, Russian Federation</p><p>e-mail: kochetova_kna@mail.ru</p></bio><email xlink:type="simple">kochetova_kna@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Саратовский медицинский научный центр гигиены ФБУН «Федеральный научный центр медико-профилактических технологий управления рисками здоровью населения»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Saratov Hygiene Medical Research Center</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>17</day><month>12</month><year>2024</year></pub-date><volume>103</volume><issue>11</issue><fpage>1278</fpage><lpage>1285</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Безрукова Г.А., Новикова Т.А., Кочетова Н.А., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Безрукова Г.А., Новикова Т.А., Кочетова Н.А.</copyright-holder><copyright-holder xml:lang="en">Bezrukova G.A., Novikova T.A., Kochetova N.А.</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/4451">https://www.rjhas.ru/jour/article/view/4451</self-uri><abstract><sec><title>Введение</title><p>Введение. В настоящее время биомаркёры (БМ) хронического стресса и их интегральные показатели успешно применяются в донозологической диагностике и прогнозировании течения хронических болезней, при оценке влияния на состояние здоровья различных факторов окружающей среды, в том числе производственной.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. На примере работников металлообрабатывающего производства (мужчины, возраст от 24 до 65 лет, профессиональный стаж от 1 года до 47 лет) было изучено влияние длительности работы во вредных условиях труда на динамику БМ и интегральные показатели их адаптивной сопряжённости – количество значимых корреляций, вес корреляционного графа (G), коэффициент корреляционной адаптации (ККА). Статистический анализ проводили с помощью пакета программ Statistica 10.0.</p></sec><sec><title>Результаты</title><p>Результаты. На основании результатов определения среднего уровня 16 отдельных БМ и 5 интегральных показателей нейроэндокринных, иммуновоспалительных и метаболических процессов и функциональной активности сердечно-сосудистой системы в разностажевых группах обследованных (&lt; 10; 10–19; 20–29; ≥ 30 лет) установлено стажезависимое повышение уровня кортизола, С-реактивного белка и провоспалительных цитокинов, холестеринового коэффициента атерогенности, артериального давления, индекса массы тела и окружности талии. Наиболее высокие значения, превышающие референтные границы, определялись у работников с профессиональным стажем ≥ 30 лет. Стажевую группу риска с наибольшей адаптивной напряжённостью составляли работники со стажем 20–29 лет. Наименьшие значения G и ККА, выявленные у работающих во вредных условиях труда ≥ 30 лет, могли свидетельствовать о срыве адаптационных механизмов и переходе организма в состояние аллостаза.</p></sec><sec><title>Ограничение исследования</title><p>Ограничение исследования. В исследование были включены только мужчины рабочих профессий.</p></sec><sec><title>Заключение</title><p>Заключение. По сравнению с определением уровня отдельных БМ предпочтительным инструментом популяционной оценки влияния длительности контакта с вредными факторами рабочей среды является полибиомаркёрный подход, в том числе корреляционная адаптометрия.</p><p>Соблюдение этических стандартов. Исследование проведено при условии получения информированного согласия обследованных работников металлообрабатывающего производства и одобрено локальным этическим комитетом Саратовского МНЦ гигиены ФБУН «ФНЦ медико-профилактических технологий управления рисками здоровью населения» (протокол № 3 от 12.02.2024 г.).</p></sec><sec><title>Участие авторов</title><p>Участие авторов: Безрукова Г.А. – концепция исследования, сбор и обработка материала, написание текста, составление списка литературы, редактирование; Новикова Т.А. – сбор и обработка материала, написание текста, составление списка литературы; Кочетова Н.А. – сбор и обработка материала. Все соавторы – утверждение окончательного варианта статьи, ответственность за целостность всех частей статьи.</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: 13.08.2024 / Поступила после доработки: 29.08.2024 / Принята к печати: 19.11.2024 / Опубликована: 17.12.2024</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. Currently, biomarkers (BMs) of chronic stress and their integral indicators are successfully used in prenosological diagnostics and prediction of progressing of chronic diseases and assessing impacts exerted on health by various environmental factors, including occupational ones.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. We used male workers employed at a metal processing enterprise as an example to examine influence exerted by duration of work under harmful conditions on BM trend and integral indicators of their adaptive conjugacy. The examined workers were aged between 24 and 65 years and their work records varied from 1 to 47 years. The analyzed indicators included the number of significant correlations, the weight of the correlation graph (CG), and correlation adaptation coefficient (CAC). Statistical analysis was performed using the Statistica 10.0 software package.</p></sec><sec><title>Results</title><p>Results. We determined the average level of 16 individual BMs and 5 integral indicators of neuroendocrine, immunoinflammatory and metabolic processes and functional activity of the cardiovascular system in different age groups of subjects (&lt; 10 years; 10–19 years; 20–29 years; ≥ 30). As a result, we established record-dependent elevated levels of cortisol, C-reactive protein and pro-inflammatory cytokines, cholesterol atherogenicity coefficient, blood pressure, body mass index and waist circumference. The highest values of the latter, above the reference limits, were determined in workers with work records ≥ 30 years. The risk group with the greatest adaptive tension consisted of workers with work records of 20–29 years. The lowest values of G and CCA, identified in workers who had to experience harmful working conditions for ≥ 30 years, could indicate a breakdown of adaptation mechanisms and the body’s transition to a state of allostasis.</p></sec><sec><title>Limitations</title><p>Limitations. The study included only male blue-collar workers.</p></sec><sec><title>Conclusions</title><p>Conclusions. Poly-biomarker approach, including correlation adaptometry, is a preferable tool for population assessment of impacts exerted by duration of contacts with harmful occupational factors as opposed to determining levels of individual BMs.</p><p>Compliance with ethical standards. The study was conducted after obtaining informed consent from the examined workers and was approved by the local ethical committee of the Saratov International Research Center for Hygiene, Federal Scientific Center for Medical and Preventive Health Risk Management Technologies (protocol No. 3 dated December 02, 2024).</p></sec><sec><title>Contribution</title><p>Contribution: Bezrukova G.A. — the study concept, data collection and analysis, writing the text, references, and editing the text; Novikova T.A. — data collection and analysis, writing the text, and references; Kochetova N.A. — data collection and analysis. All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.</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: August 13, 2024 / Revised: August 29, 2024 / Accepted: November 19, 2024 / Published: December 17, 2024</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>работники металлообрабатывающего производства</kwd><kwd>состояние здоровья</kwd><kwd>биомаркёры хронического стресса</kwd><kwd>корреляционная адаптометрия</kwd></kwd-group><kwd-group xml:lang="en"><kwd>workers employed in metal processing</kwd><kwd>health status</kwd><kwd>biomarkers of chronic stress</kwd><kwd>correlation</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">Burr H. Monitoring trends in psychosocial and physical working conditions: Challenges and suggestions for the 21st century. Scand. J. Work. Environ. Health. 2021; 47(5): 329–33. https://doi.org/10.5271/sjweh.3973</mixed-citation><mixed-citation xml:lang="en">Burr H. 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