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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">problendo</journal-id><journal-title-group><journal-title xml:lang="ru">Проблемы Эндокринологии</journal-title><trans-title-group xml:lang="en"><trans-title>Problems of Endocrinology</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0375-9660</issn><issn pub-type="epub">2308-1430</issn><publisher><publisher-name>Endocrinology Research Centre</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.14341/probl13538</article-id><article-id custom-type="elpub" pub-id-type="custom">problendo-13538</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>Болезни костной и жировой ткани</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Bones &amp; Adipose tissues diseases</subject></subj-group></article-categories><title-group><article-title>Взаимозаменяемость различных косвенных методов определения состава тела</article-title><trans-title-group xml:lang="en"><trans-title>Interchangeability of different indirect methods for determining body composition</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3321-7575</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бондарева</surname><given-names>Э. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Bondareva</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Бондарева Эльвира Александровна, к.б.н. </p><p>119435, Москва, ул. Малая Пироговская, д. 1а </p></bio><bio xml:lang="en"><p>Elvira A. Bondareva, PhD</p><p>1a Malaya Pirogovskaya street, 119435 Moscow</p></bio><email xlink:type="simple">antropogen20@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0002-7396-521X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гарасько</surname><given-names>Б. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Garasko</surname><given-names>B. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гарасько Борис Аркадьевич, к.м.н. </p><p>Москва</p></bio><bio xml:lang="en"><p>Boris A. Garasko, PhD</p><p>Moscow</p></bio><email xlink:type="simple">bgarasko@mail.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/0000-0001-6435-7218</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Хромов-Борисов</surname><given-names>Н. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Khromov-Borisov</surname><given-names>N. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Хромов-Борисов Никита Николаевич, к.б.н. </p><p>Москва</p></bio><bio xml:lang="en"><p>Nikita N. Khromov-Borisov, PhD</p><p>Moscow</p></bio><email xlink:type="simple">Nikita.KhromovBorisov@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8077-9381</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мазурина</surname><given-names>Н. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Mazurina</surname><given-names>N. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Мазурина Наталия Валентиновна, д.м.н. </p><p>Москва</p></bio><bio xml:lang="en"><p>Natalya V. Mazurina, MD. PhD</p><p>Moscow</p></bio><email xlink:type="simple">natalyamazurina@mail.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6220-4397</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ершова</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Ershova</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ершова Екатерина Владимировна, к.м.н. </p><p>Москва</p></bio><bio xml:lang="en"><p>Ekaterina V. Ershova, MD. PhD</p><p>Moscow</p></bio><email xlink:type="simple">yu99pol06@rambler.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6624-2374</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Комшилова</surname><given-names>К. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Komshilova</surname><given-names>K. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Комшилова Ксения Андреевна, к.м.н. </p><p>Москва</p></bio><bio xml:lang="en"><p>Kseniya A. Komshilova, PhD</p><p>Moscow</p></bio><email xlink:type="simple">Komshilova.Kseniya@endocrincentr.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8520-8702</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Трошина</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Troshina</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Трошина Екатерина Анатольевна, д.м.н, член-корр. РАН, профессор </p><p>Москва</p></bio><bio xml:lang="en"><p>Ekaterina A. Troshina, MD. PhD, Professor</p><p>Moscow</p></bio><email xlink:type="simple">troshina@inbox.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Федеральный научно-клинический центр физико-химической медицины им. акад. Ю.М. Лопухина Федерального медико-биологического агентства</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Lopukhin Federal research and clinical center of physical-chemical medicine, Federal medical biological agency</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Комиссия РАН по борьбе с лженаукой</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Commission on Pseudoscience of Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Национальный медицинский исследовательский центр эндокринологии им. акад. И.И. Дедова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>I.I. Dedov Endocrinology Research Centre</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>14</day><month>09</month><year>2025</year></pub-date><volume>71</volume><issue>4</issue><fpage>47</fpage><lpage>56</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Бондарева Э.А., Гарасько Б.А., Хромов-Борисов Н.Н., Мазурина Н.В., Ершова Е.В., Комшилова К.А., Трошина Е.А., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Бондарева Э.А., Гарасько Б.А., Хромов-Борисов Н.Н., Мазурина Н.В., Ершова Е.В., Комшилова К.А., Трошина Е.А.</copyright-holder><copyright-holder xml:lang="en">Bondareva E.A., Garasko B.A., Khromov-Borisov N.N., Mazurina N.V., Ershova E.V., Komshilova K.A., Troshina E.A.</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.probl-endojournals.ru/jour/article/view/13538">https://www.probl-endojournals.ru/jour/article/view/13538</self-uri><abstract><sec><title>ОБОСНОВАНИЕ</title><p>ОБОСНОВАНИЕ. Определение компонентов состава тела — мышечной и жировой массы — важный этап клинических и эпидемиологических исследований. Наиболее распространенными методами количественного определения состава тела являются косвенные методы. Однако разнообразие применяемых методов и моделей приборов затрудняет прямое сопоставление данных как на групповом, так и на индивидуальном уровнях.</p></sec><sec><title>ЦЕЛЬ</title><p>ЦЕЛЬ. Целью исследования является анализ согласованности оценок абсолютных значений жировой и безжировой массы тела, а также доли жировой массы тела, полученных с применением биоимпедансных анализаторов АВС-02 «Медасс» (НТЦ Медасс, Россия), 770InBody (InBody, Корея) и ультразвукового сканера BodyMetrix BX2000 (IntelaMetrix, США) в группе мужчин и женщин.</p></sec><sec><title>МАТЕРИАЛЫ И МЕТОДЫ</title><p>МАТЕРИАЛЫ И МЕТОДЫ. Проведено обсервационное одноцентровое одномоментное неконтролируемое исследование. Было проведено измерение основных антропометрических признаков (длина и масса тела, окружность талии). Состав тела определяли методом биоимпедансометрии (БИА) по октополярной схеме на приборе 770InBody и по тетраполярной схеме на приборе АВС-02 «Медасс» и ультразвукового исследования (УЗИ) с применением ультразвукового сканера BodyMetrix BX2000 (BM). Были рассчитаны абсолютное (ЖМ) и относительное (%ЖМ) количество жировой массы тела и безжировая масса тела (БЖМ).</p></sec><sec><title>РЕЗУЛЬТАТЫ</title><p>РЕЗУЛЬТАТЫ. Были обследованы 48 человек (38 женщин и 10 мужчин) в возрасте от 24 до 74 лет. Антропометрические признаки обследованных представлены широким диапазоном. Для всех пар компонентного состава тела обнаружена сильная корреляционная связь с минимальным значением для пары %ЖМ АВС-BM 0,85 [0,73; 0,91] и максимальным 0,998 [0,977; 0,993] для пары ЖМ АВС-InBody. Для всех пар измерений, кроме %ЖМ, определенного методом БИА, обнаружены значимые статистические различия (p&lt;0,001). Показаны: высокая согласованность между БИА оценками абсолютного количества жировой массы (ЖМ) (CCC&gt;0,95), умеренная согласованность (CCC 0,9–0,95) для доли жировой массы (%ЖМ), определенной разными БИА анализаторами, а для всех остальных пар согласованность измерений можно признать как слабую (CCC&lt;0,90).</p></sec><sec><title>ЗАКЛЮЧЕНИЕ</title><p>ЗАКЛЮЧЕНИЕ. Наилучшая согласованность на групповом и индивидуальном уровнях выявлена для оценок жировой массы тела двумя разными БИА анализаторами (InBody и ABC).</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>BACKGROUND</title><p>BACKGROUND: Determination of body composition components — muscle and fat mass — is an important step in clinical and epidemiological studies. The most common methods for quantitative determination of body composition are indirect methods. However, the variety of methods and models of devices used makes direct comparison of data at both group and individual levels difficult.</p></sec><sec><title>AIM</title><p>AIM: The aim of the study is to analyze the consistency of estimates of absolute values of fat and lean body mass, as well as the proportion of body fat mass, obtained using bioimpedance analyzers ABC-02 «Medas» (STC Medas, Russia), 770InBody (InBody, Korea) and ultrasound scanner BodyMetrix BX2000 (IntelaMetrix, USA) in a group of men and women.</p></sec><sec><title>MATERIALS AND METHODS</title><p>MATERIALS AND METHODS: An observational, single-center, cross-sectional, uncontrolled study was conducted. The main anthropometric characteristics (height and weight, waist circumference) were measured. Body composition was determined by bioimpedancemetry (BIA) using the octopolar scheme on the 770InBody device and the tetrapolar scheme on the ABC-02 Medass device and ultrasound scanning using the BodyMetrix BX2000 (BM) ultrasound scanner. The absolute (FM) and relative amount of body fat (PBF) and lean body mass were calculated.</p></sec><sec><title>RESULTS</title><p>RESULTS: A total of 48 people (38 women and 10 men) aged 24 to 74 years were examined. The anthropometric characteristics of the examined subjects were presented in a wide range. A strong correlation was found for all pairs of body composition components: the minimum value for the pair PBF ABC-BM was 0.853 [0.730, 0.913], the maximum was 0.988 [0.977, 0.993] for the pair FM ABC-InBody. Also, significant statistical differences (p&lt;0.001) were found for all pairs of measurements, except for PBF determined by the BIA method. High agreement (CCC&gt;0.95) of BIA estimates of the absolute amount of fat mass was shown, moderate agreement (CCC 0.9–0.95) is characteristic of the PBF determined by different BIA analyzers, and for all other pairs the agreement of measurements can be assessed as weak (CCC&lt;0.90).</p></sec><sec><title>CONCLUSION</title><p>CONCLUSION: The best agreement at the group and individual levels was found for FM estimates by two different BIA analyzers (InBody and ABC).</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>биоимпедансометрия</kwd><kwd>состав тела</kwd><kwd>жировая масса</kwd><kwd>ультразвуковое сканирование</kwd><kwd>InBody</kwd><kwd>BodyMetrix</kwd></kwd-group><kwd-group xml:lang="en"><kwd>BIA</kwd><kwd>body composition</kwd><kwd>fat mass</kwd><kwd>ultrasound scanning</kwd><kwd>InBody</kwd><kwd>BodyMetrix</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Публикация подготовлена в рамках Государственного задания «Механизмы дезадаптации двухуровневой системы регуляции аппетита при экзогенно-конституциональном ожирении с множественными осложнениями и способы ее коррекции», Рег. № НИОКТР 122012100180-0</funding-statement><funding-statement xml:lang="en">The publication was prepared within the framework of the State assignment "MECHANISMS OF DISADAPTATION OF THE TWO-LEVEL SYSTEM OF APPETITE REGULATION IN EXOGENOUS-CONSTITUTIONAL OBESITY WITH MULTIPLE COMPLICATIONS AND METHODS OF ITS CORRECTION", Reg. N NIOKTR 122012100180-0</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Price KL, Earthman CP. Update on body composition tools in clinical settings: computed tomography, ultrasound, and bioimpedance applications for assessment and monitoring. European journal of clinical nutrition. 2019;73(2):187-193. doi: https://doi.org/10.1038/s41430-018-0360-2</mixed-citation><mixed-citation xml:lang="en">Price KL, Earthman CP. Update on body composition tools in clinical settings: computed tomography, ultrasound, and bioimpedance applications for assessment and monitoring. European journal of clinical nutrition. 2019;73(2):187-193. doi: https://doi.org/10.1038/s41430-018-0360-2</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Tinsley GM. Five-component model validation of reference, laboratory and field methods of body composition assessment. The British journal of nutrition. 2021;125(11):1246-1259. doi: https://doi.org/10.1017/S0007114520003578</mixed-citation><mixed-citation xml:lang="en">Tinsley GM. Five-component model validation of reference, laboratory and field methods of body composition assessment. The British journal of nutrition. 2021;125(11):1246-1259. doi: https://doi.org/10.1017/S0007114520003578</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Johnson KE, Miller B, Gibson AL, McLain TA, Juvancic-Heltzel JA, Kappler RM, Otterstetter R. A comparison of dual-energy X-ray absorptiometry, air displacement plethysmography and A-mode ultrasound to assess body composition in college-age adults. Clinical physiology and functional imaging. 2017;37(6):646-654. doi: https://doi.org/10.1111/cpf.12351</mixed-citation><mixed-citation xml:lang="en">Johnson KE, Miller B, Gibson AL, McLain TA, Juvancic-Heltzel JA, Kappler RM, Otterstetter R. A comparison of dual-energy X-ray absorptiometry, air displacement plethysmography and A-mode ultrasound to assess body composition in college-age adults. Clinical physiology and functional imaging. 2017;37(6):646-654. doi: https://doi.org/10.1111/cpf.12351</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Dehghan M, Merchant AT. Is bioelectrical impedance accurate for use in large epidemiological studies? Nutr J. 2008;7:26. doi: https://doi.org/10.1186/1475-2891-7-26</mixed-citation><mixed-citation xml:lang="en">Dehghan M, Merchant AT. Is bioelectrical impedance accurate for use in large epidemiological studies? Nutr J. 2008;7:26. doi: https://doi.org/10.1186/1475-2891-7-26</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Vaquero-Cristóbal R, Catarina-Moreira A, Esparza-Ros F, Barrigas C, Albaladejo-Saura M, Vieira F. Skinfolds compressibility and digital caliper’s time response in skinfold measurement in male and female young adults. J Int Soc Sports Nutr. 2023;20(1):2265888. doi: https://doi.org/10.1080/15502783.2023.2265888</mixed-citation><mixed-citation xml:lang="en">Vaquero-Cristóbal R, Catarina-Moreira A, Esparza-Ros F, Barrigas C, Albaladejo-Saura M, Vieira F. Skinfolds compressibility and digital caliper’s time response in skinfold measurement in male and female young adults. J Int Soc Sports Nutr. 2023;20(1):2265888. doi: https://doi.org/10.1080/15502783.2023.2265888</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Araújo D, Teixeira VH, Carvalho P, Amaral TF. Exercise induced dehydration status and skinfold compressibility in athletes: an intervention study. Asia Pac J Clin Nutr. 2018;27(1):189-194. doi: https://doi.org/10.6133/apjcn.022017.20</mixed-citation><mixed-citation xml:lang="en">Araújo D, Teixeira VH, Carvalho P, Amaral TF. Exercise induced dehydration status and skinfold compressibility in athletes: an intervention study. Asia Pac J Clin Nutr. 2018;27(1):189-194. doi: https://doi.org/10.6133/apjcn.022017.20</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">García-Almeida JM, García-García C, Vegas-Aguilar IM, et al. Nutritional ultrasound: Conceptualization, technical considerations and standardization. Endocrinol Diabetes Nutr (Engl Ed). 2023;70 Suppl 1:74-84. doi: https://doi.org/10.1016/j.endien.2022.11.010</mixed-citation><mixed-citation xml:lang="en">García-Almeida JM, García-García C, Vegas-Aguilar IM, et al. Nutritional ultrasound: Conceptualization, technical considerations and standardization. Endocrinol Diabetes Nutr (Engl Ed). 2023;70 Suppl 1:74-84. doi: https://doi.org/10.1016/j.endien.2022.11.010</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Bullen BA, Quaade F, Olessen E, Lund SA. Ultrasonic reflections used for measuring subcutaneous fat in humans. Hum Biol. 1965;37(4):375-384</mixed-citation><mixed-citation xml:lang="en">Bullen BA, Quaade F, Olessen E, Lund SA. Ultrasonic reflections used for measuring subcutaneous fat in humans. Hum Biol. 1965;37(4):375-384</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Booth RA, Goddard BA, Paton A. Measurement of fat thickness in man: a comparison of ultrasound, Harpenden calipers and electrical conductivity. Br J Nutr. 1966;20(4):719-725. doi: https://doi.org/10.1079/bjn19660073</mixed-citation><mixed-citation xml:lang="en">Booth RA, Goddard BA, Paton A. Measurement of fat thickness in man: a comparison of ultrasound, Harpenden calipers and electrical conductivity. Br J Nutr. 1966;20(4):719-725. doi: https://doi.org/10.1079/bjn19660073</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Marín Baselga R, Teigell-Muñoz FJ, Porcel JM, Ramos Lázaro J, García Rubio S. Ultrasound for body composition assessment: a narrative review. Intern Emerg Med. 2024. doi: https://doi.org/10.1007/s11739-024-03756-8</mixed-citation><mixed-citation xml:lang="en">Marín Baselga R, Teigell-Muñoz FJ, Porcel JM, Ramos Lázaro J, García Rubio S. Ultrasound for body composition assessment: a narrative review. Intern Emerg Med. 2024. doi: https://doi.org/10.1007/s11739-024-03756-8</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Wagner DR, Teramoto M. Interrater reliability of novice examiners using A-mode ultrasound and skinfolds to measure subcutaneous body fat. PloS one. 2020;15(12):e0244019. doi: https://doi.org/10.1371/journal.pone.0244019</mixed-citation><mixed-citation xml:lang="en">Wagner DR, Teramoto M. Interrater reliability of novice examiners using A-mode ultrasound and skinfolds to measure subcutaneous body fat. PloS one. 2020;15(12):e0244019. doi: https://doi.org/10.1371/journal.pone.0244019</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Ranganathan P, Pramesh CS, Aggarwal R. Common pitfalls in statistical analysis: Measures of agreement. Perspect Clin Res. 2017;8:187-91. DOI: doi: https://doi.org/10.4103/picr.PICR_123_17</mixed-citation><mixed-citation xml:lang="en">Ranganathan P, Pramesh CS, Aggarwal R. Common pitfalls in statistical analysis: Measures of agreement. Perspect Clin Res. 2017;8:187-91. DOI: doi: https://doi.org/10.4103/picr.PICR_123_17</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Vetter TR, Schober P. Agreement analysis: what he said, she said versus you said. Anesthesia &amp; Analgesia. 2018;126(6):2123-2128. doi: https://doi.org/10.1213/ANE.0000000000002924.</mixed-citation><mixed-citation xml:lang="en">Vetter TR, Schober P. Agreement analysis: what he said, she said versus you said. Anesthesia &amp; Analgesia. 2018;126(6):2123-2128. doi: https://doi.org/10.1213/ANE.0000000000002924.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Bonett DG. Interval Estimation of Standardized Mean Differences in Paired-Samples Designs. Journal of Educational and Behavioral Statistics. 2015;40(4):366-376. doi: https://doi.org/10.3102/1076998615583904</mixed-citation><mixed-citation xml:lang="en">Bonett DG. Interval Estimation of Standardized Mean Differences in Paired-Samples Designs. Journal of Educational and Behavioral Statistics. 2015;40(4):366-376. doi: https://doi.org/10.3102/1076998615583904</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Хромов-Борисов Н.Н. Диалоги о статистике в научных публикациях. Научный редактор и издатель. 2024;9(1 Suppl. 1):1S5–1S32. doi: https://doi.org/10.24069/SEP-24-01</mixed-citation><mixed-citation xml:lang="en">Хромов-Борисов Н.Н. Диалоги о статистике в научных публикациях. Научный редактор и издатель. 2024;9(1 Suppl. 1):1S5–1S32. doi: https://doi.org/10.24069/SEP-24-01</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Hammer Ø, Harper DAT, Ryan PD. PAST: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica. 2001;4(1):9</mixed-citation><mixed-citation xml:lang="en">Hammer Ø, Harper DAT, Ryan PD. PAST: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica. 2001;4(1):9</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Kelter R. Bayesian alternatives to null hypothesis significance testing in biomedical research: a non-technical introduction to Bayesian inference with JASP. BMC Med Res Methodol.2020;20:142. doi: https://doi.org/10.1186/s12874-020-00980-6</mixed-citation><mixed-citation xml:lang="en">Kelter R. Bayesian alternatives to null hypothesis significance testing in biomedical research: a non-technical introduction to Bayesian inference with JASP. BMC Med Res Methodol.2020;20:142. doi: https://doi.org/10.1186/s12874-020-00980-6</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Bondareva EA, Parfenteva OI, Troshina EA, et al. Agreement between bioimpedance analysis and ultrasound scanning in body composition assessment. Am J Hum Biol. 2024;36(4):e24001. doi: https://doi.org/10.1002/ajhb.24001</mixed-citation><mixed-citation xml:lang="en">Bondareva EA, Parfenteva OI, Troshina EA, et al. Agreement between bioimpedance analysis and ultrasound scanning in body composition assessment. Am J Hum Biol. 2024;36(4):e24001. doi: https://doi.org/10.1002/ajhb.24001</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Kogure GS, Silva RC, Ribeiro VB, Mendes MC, Menezes-Reis R, Ferriani RA, Furtado C, Reis R. Concordance in prediction body fat percentage of Brazilian women in reproductive age between different methods of evaluation of skinfolds thickness. Archives of endocrinology and metabolism. 2020;64(3):257-268. doi: https://doi.org/10.20945/2359-3997000000246</mixed-citation><mixed-citation xml:lang="en">Kogure GS, Silva RC, Ribeiro VB, Mendes MC, Menezes-Reis R, Ferriani RA, Furtado C, Reis R. Concordance in prediction body fat percentage of Brazilian women in reproductive age between different methods of evaluation of skinfolds thickness. Archives of endocrinology and metabolism. 2020;64(3):257-268. doi: https://doi.org/10.20945/2359-3997000000246</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Bondareva EA, Parfent’eva OI, Vasil’eva AA. et al. Reproducibility of Body Fat and Fat-Free Mass Measurements by Bioimpedance and Ultrasound Scanning Analysis in a Group of Young Adults. Hum Physiol. 2023;49:411–420. doi: https://doi.org/10.1134/S0362119723600042</mixed-citation><mixed-citation xml:lang="en">Bondareva EA, Parfent’eva OI, Vasil’eva AA. et al. Reproducibility of Body Fat and Fat-Free Mass Measurements by Bioimpedance and Ultrasound Scanning Analysis in a Group of Young Adults. Hum Physiol. 2023;49:411–420. doi: https://doi.org/10.1134/S0362119723600042</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Nickerson BS, McLester CN, McLester JR, Kliszczewicz BM. Agreement Between 2 Segmental Bioimpedance Devices, BOD POD, and DXA in Obese Adults. Journal of clinical densitometry: the official journal of the International Society for Clinical Densitometry. 2020;23(1):138-148. doi: https://doi.org/10.1016/j.jocd.2019.04.005</mixed-citation><mixed-citation xml:lang="en">Nickerson BS, McLester CN, McLester JR, Kliszczewicz BM. Agreement Between 2 Segmental Bioimpedance Devices, BOD POD, and DXA in Obese Adults. Journal of clinical densitometry: the official journal of the International Society for Clinical Densitometry. 2020;23(1):138-148. doi: https://doi.org/10.1016/j.jocd.2019.04.005</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Miclos-Balica M, Muntean P, Schick F, Haragus HG, Glisici B, Pupazan V, Neagu A, Neagu M. Reliability of body composition assessment using A-mode ultrasound in a heterogeneous sample. European journal of clinical nutrition. 2021;75(3):438-445. doi: https://doi.org/10.1038/s41430-020-00743-y</mixed-citation><mixed-citation xml:lang="en">Miclos-Balica M, Muntean P, Schick F, Haragus HG, Glisici B, Pupazan V, Neagu A, Neagu M. Reliability of body composition assessment using A-mode ultrasound in a heterogeneous sample. European journal of clinical nutrition. 2021;75(3):438-445. doi: https://doi.org/10.1038/s41430-020-00743-y</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Tinsley GM, Rodriguez C, White SJ, et al. A Field-based Three-Compartment Model Derived from Ultrasonography and Bioimpedance for Estimating Body Composition Changes. Med Sci Sports Exerc. 2021;53(3):658-667. doi: https://doi.org/10.1249/MSS.0000000000002491</mixed-citation><mixed-citation xml:lang="en">Tinsley GM, Rodriguez C, White SJ, et al. A Field-based Three-Compartment Model Derived from Ultrasonography and Bioimpedance for Estimating Body Composition Changes. Med Sci Sports Exerc. 2021;53(3):658-667. doi: https://doi.org/10.1249/MSS.0000000000002491</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
