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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="en"><front><journal-meta><journal-id journal-id-type="publisher-id">nnp</journal-id><journal-title-group><journal-title xml:lang="en">Neurology, Neuropsychiatry, Psychosomatics</journal-title><trans-title-group xml:lang="ru"><trans-title>Неврология, нейропсихиатрия, психосоматика</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2074-2711</issn><issn pub-type="epub">2310-1342</issn><publisher><publisher-name>"IMA-Press", LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.14412/2074-2711-2017-3-31-35</article-id><article-id custom-type="elpub" pub-id-type="custom">nnp-769</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="en"><subject>ORIGINAL INVESTIGATIONS</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОРИГИНАЛЬНЫЕ ИССЛЕДОВАНИЯ И МЕТОДИКИ</subject></subj-group></article-categories><title-group><article-title>A chronobiological approach to therapy for depression</article-title><trans-title-group xml:lang="ru"><trans-title>Хронобиологический подход к терапии депрессии</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Герасимчук</surname><given-names>М. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Gerasimchuk</surname><given-names>M. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>119021, Москва, ул. Россолимо, 11, стр.9</p><p>Кафедра психиатрии и наркологии лечебного факультета</p></bio><bio xml:lang="en"><p>11, Rossolimo St., Build. 9, Moscow 119021</p><p>Department of Psychiatry and Narcology</p></bio><email xlink:type="simple">mygerasimchuk@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГАОУ ВО «Первый Московский государственный медицинский университет им. И.М. Сеченова» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Faculty of General Medicine, I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>03</day><month>11</month><year>2017</year></pub-date><volume>9</volume><issue>3</issue><fpage>31</fpage><lpage>35</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Gerasimchuk M.Y., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Герасимчук М.Ю.</copyright-holder><copyright-holder xml:lang="en">Gerasimchuk M.Y.</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://nnp.ima-press.net/nnp/article/view/769">https://nnp.ima-press.net/nnp/article/view/769</self-uri><abstract><p>In the modern world, the discrepancy between biological and social rhythms in the presence of the existing genetic predisposition increases a risk for the occurrence and chronicity of depression. To solve this problem, various approaches, including a chronobiological one, are applied.Objective: to explore the relationship between chronobiological characteristics and psychopharmacotherapy in patients with depression.Patients and methods Eighty patients with depression, among whom women (68.7%) predominated, were examined. The age of the patients was 18–75 years (47.6±15.6 years). Their chronotype was identified using the Morningness–Eveningness Questionnaire (MEQ) to determine the type of circadian rhythm. Changes in the patients' status were clinically assessed utilizing the psychometric indicators.Results. Sleep disorders were most pronounced in recurrent depression (4.1±1.1 scores) (Montgomery–Asberg Depression Rating Scale, MADRS, item 4). The inverted pattern of daily variations was more frequently observed in patients with a first depressive episode (p&lt;0.05).According to MEQ scores, the investigators identified three groups of patients with morning (5%), intermediate (65%), and evening (30%) chronotypes. At the same type, the latter chronotype was clearly associated with the positive family history of affective disorders, earlier onset of depression, a larger number of experienced episodes, a higher average duration of an episode in the history, younger age, and severe condition when visiting a physician's office required additional psychopharmacotherapy. It was more effective to use antidepressants in the morning, if the patient had an evening chronotype, and in the evening, if he/she had a morning/intermediate chronotype.Conclusion. The patients with initially different chronotypes showed differences in the premorbid, onset, and course of the disease. The account of a chronotype can be considered as one of the approaches to optimize psychopharmacotherapy.</p></abstract><trans-abstract xml:lang="ru"><p>В современном мире рассогласование между биологическими и социальными ритмами на фоне существующей генетической предрасположенности повышает риск возникновения и хронизации депрессии. Для решения этой проблемы используются разные подходы, в том числе и хронобиологический.Цель исследования – изучение взаимосвязи хронобиологических особенностей и психофармакотерапии у пациентов с депрессией.Пациенты и методы. Обследовано 80 больных с депрессией, среди которых преобладали женщины (68,7%). Возраст больных составил 18–75 лет (47,6±15,6 года). Хронотип больных был установлен на основании опросника для определения типа суточного ритма (Morningness-Eveningness Questionnaire, MEQ). Динамика состояния оценивалась клинически и по психометрическим показателям.Результаты. Нарушения сна были наиболее выражены при рекуррентном расстройстве – 4,1±1,1 балла (Montgomery–Asberg Depression Rating Scale, MADRS, пункт 4). Инвертированный характер суточных колебаний чаще наблюдался у больных с первым депрессивным эпизодом (р&lt;0,05). На основании данных MEQ были выделены три группы пациентов: с утренним (5%), промежуточным (65%) и вечерним (30%) хронотипами. При этом последний хронотип отчетливо ассоциировался с семейной отягощенностью, более ранним возникновением депрессии, большим числом перенесенных эпизодов, более высокой средней продолжительностью эпизода в анамнезе, более молодым возрастом и тяжелым состоянием на момент обращения, требовал назначения дополнительной психофармакотерапии. При вечернем хронотипе эффективнее оказалось назначение антидепрессантов утром, при утреннем/промежуточном хронотипе – вечером.Заключение. У больных с исходно разными хронотипами выявлены различия в преморбиде, дебюте и течении заболевания. Учет хронотипа может быть рассмотрен как один из подходов к оптимизации психофармакотерапии.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>депрессия</kwd><kwd>опросник MEQ</kwd><kwd>сон</kwd><kwd>хронотип</kwd><kwd>психофармакотерапия</kwd></kwd-group><kwd-group xml:lang="en"><kwd>depression</kwd><kwd>MEQ</kwd><kwd>sleep</kwd><kwd>chronotype</kwd><kwd>psychopharmacotherapy</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">Chaudhury D, Liu H, Han MН. Neuronal correlates of depression. Cell Mol Life Sci. 2015;72(24):4825-48. doi: 10.1007/s00018-015-2044-6. Epub 2015 Nov 5.</mixed-citation><mixed-citation xml:lang="en">Chaudhury D, Liu H, Han MН. Neuronal correlates of depression. Cell Mol Life Sci. 2015;72(24):4825-48. doi: 10.1007/s00018-015-2044-6. 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