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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">sredob</journal-id><journal-title-group><journal-title xml:lang="ru">Здоровье населения и среда обитания – ЗНиСО</journal-title><trans-title-group xml:lang="en"><trans-title>Public Health and Life Environment – PH&amp;LE</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2219-5238</issn><issn pub-type="epub">2619-0788</issn><publisher><publisher-name>ФБУЗ ФЦГиЭ Роспотребнадзора</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.35627/2219-5238/2025-33-12-52-60</article-id><article-id custom-type="elpub" pub-id-type="custom">sredob-2819</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>ГИГИЕНА ПИТАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>FOOD HYGIENE</subject></subj-group></article-categories><title-group><article-title>Структура и наполнение национальных баз данных химического состава продуктов и блюд для эпидемиологических исследований фактического питания населения</article-title><trans-title-group xml:lang="en"><trans-title>Тhe Structure and Content of National Food Composition Databases for Population-Based Nutritional Epidemiology Studies</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-7535-8523</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шахвалиева</surname><given-names>Э. С.-А.</given-names></name><name name-style="western" xml:lang="en"><surname>Shakhvalieva</surname><given-names>E. S.-A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Шахвалиева Элина Саид-Аминовна – лаборант-исследователь лаборатории демографии и эпидемиологии питания.</p><p>Устьинский проезд, д. 2/14, Москва, 109240</p></bio><bio xml:lang="en"><p>Elina S.-A. Shakhvalieva - Research Assistant, Laboratory of Demography and Epidemiology of Nutrition.</p><p>2/14 Ustyinsky Drive, Moscow, 109240</p></bio><email xlink:type="simple">shelina9558@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/0000-0001-9762-2647</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кешабянц</surname><given-names>Э. Э.</given-names></name><name name-style="western" xml:lang="en"><surname>Keshabyants</surname><given-names>E. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кешабянц Эвелина Эдуардовна – к.м.н., старший научный сотрудник лаборатории демографии и эпидемиологии питания.</p><p>Устьинский проезд, д. 2/14, Москва, 109240</p></bio><bio xml:lang="en"><p>Evelina E. Keshabyants - Cand. Sci. (Med.), Senior Researcher, Laboratory of Demography and Epidemiology of Nutrition.</p><p>2/14 Ustyinsky Drive, Moscow, 109240</p></bio><email xlink:type="simple">evk1410@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/0000-0002-7664-2523</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Денисова</surname><given-names>Н. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Denisova</surname><given-names>N. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Денисова Наталья Николаевна – к.м.н., старший научный сотрудник лаборатории демографии и эпидемиологии питания.</p><p>Устьинский проезд, д. 2/14, Москва, 109240</p></bio><bio xml:lang="en"><p>Natalia N. Denisova - Cand. Sci. (Med.), Senior Researcher, Laboratory of Demography and Epidemiology of Nutrition.</p><p>2/14 Ustyinsky Drive, Moscow, 109240</p></bio><email xlink:type="simple">denisova-55@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/0000-0001-6509-5344</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Зотов</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Zotov</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Зотов Владимир Алексеевич – к.б.н., научный сотрудник лаборатории химии пищевых продуктов.</p><p>Устьинский проезд, д. 2/14, Москва, 109240</p></bio><bio xml:lang="en"><p>Vladimir A. Zotov - Cand. Sci. (Biol.), Researcher, Laboratory of Food Chemistry.</p><p>2/14 Ustyinsky Drive, Moscow, 109240</p></bio><email xlink:type="simple">zotov@ion.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/0000-0002-2045-5729</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Смирнова</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Smirnova</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Смирнова Елена Александровна – к.т.н., руководитель лаборатории демографии и эпидемиологии питания. AuthorID: 65254. Scopus ID: 56625594400. Researcher ID: Н-8763-2017.</p><p>Устьинский проезд, д. 2/14, Москва, 109240</p><p> </p></bio><bio xml:lang="en"><p>Elena A. Smirnova - Cand. Sci. (Tech.), Head of the Laboratory of Demography and Epidemiology of Nutrition.</p><p>2/14 Ustyinsky Drive, Moscow, 109240</p></bio><email xlink:type="simple">smirnova@ion.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/0000-0002-4164-8992</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тутельян</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Tutelyan</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Тутельян Виктор Александрович – академик РАН, доктор медицинских наук, профессор, научный руководитель ФГБУН «ФИЦ питания и биотехнологии».</p><p>Устьинский проезд, д. 2/14, Москва, 109240</p></bio><bio xml:lang="en"><p>Victor A. Tutelyan -- Academician of the Russian Academy of Sciences, Doctor of Medical Sciences, Professor; Scientific Director of the Federal Research Center of Nutrition, Biotechnology and Food Safety.</p><p>2/14 Ustyinsky Drive, Moscow, 109240</p></bio><email xlink:type="simple">tutelyan@ion.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБУН «ФИЦ питания и биотехнологии»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Federal Research Center of Nutrition, Biotechnology and Food Safety</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>17</day><month>12</month><year>2025</year></pub-date><volume>33</volume><issue>12</issue><fpage>52</fpage><lpage>60</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Шахвалиева Э.С., Кешабянц Э.Э., Денисова Н.Н., Зотов В.А., Смирнова Е.А., Тутельян В.А., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Шахвалиева Э.С., Кешабянц Э.Э., Денисова Н.Н., Зотов В.А., Смирнова Е.А., Тутельян В.А.</copyright-holder><copyright-holder xml:lang="en">Shakhvalieva E.S., Keshabyants E.E., Denisova N.N., Zotov V.A., Smirnova E.A., Tutelyan V.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://zniso.fcgie.ru/jour/article/view/2819">https://zniso.fcgie.ru/jour/article/view/2819</self-uri><abstract><sec><title>Введение</title><p>Введение. Национальные базы данных состава пищевых продуктов приобретают все большее значение, играя, с одной стороны, ключевую роль при проведении исследований в области эпидемиологии питания, с другой – позволяют потребителям сделать осознанный выбор продуктов и блюд, предоставляя важную информацию об их энергетической и пищевой ценности.</p></sec><sec><title>Цель исследования</title><p>Цель исследования: анализ национальных баз данных химического состава продуктов и блюд, оценка полноты информации о содержании макрои микронутриентов, витаминов, минеральных и биологически активных веществ, наличия различных встроенных инструментов анализа и удобства их использования.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Рассмотрено 7 крупнейших национальных баз данных баз данных: США, Австралии, Швейцарии, Франции, Португалии, Дании и Великобритании. Для анализа использовали открытые официальные источники информации. Критерии включения баз данных в обзор: принадлежность государственным органам, наличие web-интерфейса и применение в эпидемиологических исследованиях фактического питания. Критерии оценки: количество продуктов и блюд, широта и полнота перечня нутриентов, возможность скачивания и наличие различных дополнительных инструментов. Базы данных актуальны на сентябрь 2025 года.</p></sec><sec><title>Результаты</title><p>Результаты. Анализ баз данных показал, что наиболее важным ограничением для большинства является неполный нутриентный состав по всем заявленным продуктам и блюдам, что не позволяет объективно оценить поступление с рационами того пищевого вещества, для которого нет значения по всем продуктам и блюдам.</p></sec><sec><title>Заключение</title><p>Заключение. Обоснован набор критериев, выбранных для формирования архитектуры, наполнения и инструментария разрабатываемого Программного комплекса с web-интерфейсом для обработки, хранения, анализа и верификации данных химического состава пищевой продукции, предназначенного для создания и ведения российской национальной базы.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction: National food composition databases are becoming increasingly important. They play a key role in nutritional epidemiology research and enable consumers to make informed food and dish choices by providing sciencebased information about their energy and nutritional value.</p></sec><sec><title>Objectives</title><p>Objectives: To analyze national databases of the chemical composition of foods and dishes, to assess the completeness of information on the contents of macroand micronutrients, vitamins, minerals, and biologically active substances, to establish availability of various built-in analysis tools and the convenience of their use.</p></sec><sec><title>Materials and Methods</title><p>Materials and Methods: We have reviewed seven large national food composition databases for the United States, Australia, Switzerland, France, Portugal, Denmark, and the United Kingdom as of September 2025 using open sources of official information for the analysis. Database inclusion criteria were government ownership, web interface availability, and application in dietary analysis. Evaluation criteria included the number of foods and dishes, the range and completeness of the list of nutrients, the ability to download, and availability of various additional tools.</p></sec><sec><title>Results</title><p>Results: We established that the most critical limitation for the majority of databases is the incomplete nutrient composition for all declared foods and dishes, which prevents an objective assessment of the dietary intake of a nutrient for which data is missing.</p></sec><sec><title>Conclusion</title><p>Conclusion: A set of criteria selected for the architecture, contents, and tools of the developed software with a user interface for processing, storing, analyzing, and verifying data on the chemical composition of food products, intended for the creation and maintenance of the Russian national food composition database, is substantiated.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>эпидемиология питания</kwd><kwd>база данных химического состава пищевых продуктов</kwd><kwd>классификация пищевых продуктов</kwd><kwd>классификация блюд</kwd><kwd>нутриентный состав</kwd></kwd-group><kwd-group xml:lang="en"><kwd>nutritional epidemiology</kwd><kwd>food composition database</kwd><kwd>food classification</kwd><kwd>dish categories</kwd><kwd>nutrient composition</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">исследование выполнено в рамках реализации соглашения с РНФ 23-16-00242 «Разработка программно-аналитического комплекса с web-интерфейсом для обработки, хранения, анализа и верификации данных химического состава пищевой продукции»</funding-statement><funding-statement xml:lang="en">The research was carried out within the framework of Agreement 23-16-00242 with the Russian Science Foundation on the development of a software and analytical complex with a web interface for processing, storing, analyzing, and verifying data on the chemical composition of food products</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">Lordan R, Grant WB. Dietary patterns, physical activity, and lifestyle in the onset, prevention, and management of noncommunicable diseases. Nutrients. 2023;15(11):2540. doi: 10.3390/nu15112540</mixed-citation><mixed-citation xml:lang="en">Lordan R, Grant WB. Dietary patterns, physical activity, and lifestyle in the onset, prevention, and management of noncommunicable diseases. Nutrients. 2023;15(11):2540. doi: 10.3390/nu15112540</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Di Cesare M, Sorić M, Bovet P, et al. The epidemiological burden of obesity in childhood: A worldwide epidemic requiring urgent action. BMC Med. 2019;17(1):212. doi: 10.1186/s12916-019-1449-8</mixed-citation><mixed-citation xml:lang="en">Di Cesare M, Sorić M, Bovet P, et al. The epidemiological burden of obesity in childhood: A worldwide epidemic requiring urgent action. BMC Med. 2019;17(1):212. doi: 10.1186/s12916-019-1449-8</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Toebes B, Hesselman M, van Dijk JP, Herman J. Curbing the lifestyle disease pandemic: Making progress on an interdisciplinary research agenda for law and policy interventions. BMC Int Health Hum Rights. 2017;17(1):25. doi: 10.1186/s12914-017-0131-5</mixed-citation><mixed-citation xml:lang="en">Toebes B, Hesselman M, van Dijk JP, Herman J. Curbing the lifestyle disease pandemic: Making progress on an interdisciplinary research agenda for law and policy interventions. BMC Int Health Hum Rights. 2017;17(1):25. doi: 10.1186/s12914-017-0131-5</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Delgado A, Issaoui M, Vieira MC, Saraiva de Carvalho I, Fardet A. Food composition databases: Does it matter to human health? Nutrients. 2021;13(8):2816. doi: 10.3390/nu13082816</mixed-citation><mixed-citation xml:lang="en">Delgado A, Issaoui M, Vieira MC, Saraiva de Carvalho I, Fardet A. Food composition databases: Does it matter to human health? Nutrients. 2021;13(8):2816. doi: 10.3390/nu13082816</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Williams G, Hamilton A, Cade JE. Comparison of online food composition databases including those in nutritional assessment tools. Proc Nutr Soc. 2024;83(OCE4):E339. doi: 10.1017/S0029665124005779</mixed-citation><mixed-citation xml:lang="en">Williams G, Hamilton A, Cade JE. Comparison of online food composition databases including those in nutritional assessment tools. Proc Nutr Soc. 2024;83(OCE4):E339. doi: 10.1017/S0029665124005779</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Naaman RK, Almasaudi A, Albajri E, Naseeb M. Current use of food composition database and dietary analysis software in Saudi Arabia: A review study. J Food Compos Anal. 2023;(123(5)):105598. doi: 10.1016/j.jfca.2023.105598</mixed-citation><mixed-citation xml:lang="en">Naaman RK, Almasaudi A, Albajri E, Naseeb M. Current use of food composition database and dietary analysis software in Saudi Arabia: A review study. J Food Compos Anal. 2023;(123(5)):105598. doi: 10.1016/j.jfca.2023.105598</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Jansen L, Roodenburg AJ. The use of food composition data in the Choices International Programme. Food Chem. 2016;193:196-202. doi: 10.1016/j.foodchem.2015.06.082</mixed-citation><mixed-citation xml:lang="en">Jansen L, Roodenburg AJ. The use of food composition data in the Choices International Programme. Food Chem. 2016;193:196-202. doi: 10.1016/j.foodchem.2015.06.082</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Murphy SP, Charrondiere UR, Burlingame B. Thirty years of progress in harmonizing and compiling food data as a result of the establishment of INFOODS. Food Chem. 2016;193:2-5. doi: 10.1016/j.foodchem.2014.11.097</mixed-citation><mixed-citation xml:lang="en">Murphy SP, Charrondiere UR, Burlingame B. Thirty years of progress in harmonizing and compiling food data as a result of the establishment of INFOODS. Food Chem. 2016;193:2-5. doi: 10.1016/j.foodchem.2014.11.097</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Scrimshaw NS. INFOODS: The international network of food data systems. Am J Clin Nutr. 1997;65(4 Suppl):1190S-1193S. doi: 10.1093/ajcn/65.4.1190S</mixed-citation><mixed-citation xml:lang="en">Scrimshaw NS. INFOODS: The international network of food data systems. Am J Clin Nutr. 1997;65(4 Suppl):1190S-1193S. doi: 10.1093/ajcn/65.4.1190S</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Garcia V, Rona RJ, Chinn S. Effect of the choice of food composition table on nutrient estimates: A comparison between the British and American (Chilean) tables. Public Health Nutr. 2004;7(4):577-583. doi: 10.1079/phn2003555</mixed-citation><mixed-citation xml:lang="en">Garcia V, Rona RJ, Chinn S. Effect of the choice of food composition table on nutrient estimates: A comparison between the British and American (Chilean) tables. Public Health Nutr. 2004;7(4):577-583. doi: 10.1079/phn2003555</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Stanford J, McMahon S, Lambert K, Charlton KE, Stefoska-Needham A. Expansion of an Australian food composition database to estimate plant and animal intakes. Br J Nutr. 2023;130(11):1950-1960. doi: 10.1017/s0007114523001101</mixed-citation><mixed-citation xml:lang="en">Stanford J, McMahon S, Lambert K, Charlton KE, Stefoska-Needham A. Expansion of an Australian food composition database to estimate plant and animal intakes. Br J Nutr. 2023;130(11):1950-1960. doi: 10.1017/s0007114523001101</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Zhong L, Blekkenhorst LC, Bondonno NP, et al. A food composition database for assessing nitrate intake from plant-based foods. Food Chem. 2022;394:133411. doi: 10.1016/j.foodchem.2022.133411</mixed-citation><mixed-citation xml:lang="en">Zhong L, Blekkenhorst LC, Bondonno NP, et al. A food composition database for assessing nitrate intake from plant-based foods. Food Chem. 2022;394:133411. doi: 10.1016/j.foodchem.2022.133411</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Vahid F, Hoge A, Hébert JR, Bohn T; ORISCAV working group. Association of diet quality indices with serum and metabolic biomarkers in participants of the ORIS-CAV-LUX-2 study. Eur J Nutr. 2023;62(5):2063-2085. doi: 10.1007/s00394-023-03095-y</mixed-citation><mixed-citation xml:lang="en">Vahid F, Hoge A, Hébert JR, Bohn T; ORISCAV working group. Association of diet quality indices with serum and metabolic biomarkers in participants of the ORIS-CAV-LUX-2 study. Eur J Nutr. 2023;62(5):2063-2085. doi: 10.1007/s00394-023-03095-y</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Oliveira LM, Castanheira IP, Dantas MA, Porto AA, Calhau MA. Portuguese food composition database quality management system. Eur J Clin Nutr. 2010;64(Suppl 3): S53-S57. doi: 10.1038/ejcn.2010.211</mixed-citation><mixed-citation xml:lang="en">Oliveira LM, Castanheira IP, Dantas MA, Porto AA, Calhau MA. Portuguese food composition database quality management system. Eur J Clin Nutr. 2010;64(Suppl 3): S53-S57. doi: 10.1038/ejcn.2010.211</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Pakkala H, Christensen T, de Victoria IM, Presser K, Kadvan A. Harmonised information exchange between decentralised food composition database systems. Eur J Clin Nutr. 2010;64(Suppl 3):S58-S63. doi: 10.1038/ejcn.2010.212</mixed-citation><mixed-citation xml:lang="en">Pakkala H, Christensen T, de Victoria IM, Presser K, Kadvan A. Harmonised information exchange between decentralised food composition database systems. Eur J Clin Nutr. 2010;64(Suppl 3):S58-S63. doi: 10.1038/ejcn.2010.212</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Foroni F, Pergola G, Argiris G, Rumiati RI. The FoodCast research image database (FRIDa). Front Hum Neurosci. 2013;7:51. doi: 10.3389/fnhum.2013.00051</mixed-citation><mixed-citation xml:lang="en">Foroni F, Pergola G, Argiris G, Rumiati RI. The FoodCast research image database (FRIDa). Front Hum Neurosci. 2013;7:51. doi: 10.3389/fnhum.2013.00051</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Shi Z, Zhu W, Lei Z, et al. Intake of added sugar from different sources and risk of all-cause mortality and cardiovascular diseases: The role of body mass index. J Nutr. 2024;154(11):3457-3464. doi: 10.1016/j.tjnut.2024.09.017</mixed-citation><mixed-citation xml:lang="en">Shi Z, Zhu W, Lei Z, et al. Intake of added sugar from different sources and risk of all-cause mortality and cardiovascular diseases: The role of body mass index. J Nutr. 2024;154(11):3457-3464. doi: 10.1016/j.tjnut.2024.09.017</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Lin AW, Morgan N, Ward D, et al. Comparative validity of mostly unprocessed and minimally processed food items differs among popular commercial nutrition apps compared with a research food database. J Acad Nutr Diet. 2022;122(4):825-832.e1. doi: 10.1016/j.jand.2021.10.015</mixed-citation><mixed-citation xml:lang="en">Lin AW, Morgan N, Ward D, et al. Comparative validity of mostly unprocessed and minimally processed food items differs among popular commercial nutrition apps compared with a research food database. J Acad Nutr Diet. 2022;122(4):825-832.e1. doi: 10.1016/j.jand.2021.10.015</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Hinojosa-Nogueira D, Pérez-Burillo S, Navajas-Porras B, et al. Development of an unified food composition database for the European project “Stance4Health”. Nutrients. 2021;13(12):4206. doi: 10.3390/nu13124206</mixed-citation><mixed-citation xml:lang="en">Hinojosa-Nogueira D, Pérez-Burillo S, Navajas-Porras B, et al. Development of an unified food composition database for the European project “Stance4Health”. Nutrients. 2021;13(12):4206. doi: 10.3390/nu13124206</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Khatibzadeh S, Saheb Kashaf M, Micha R, et al.; Global Burden of Diseases Nutrition; Chronic Diseases Expert Group (NutriCode). A global database of food and nutrient consumption. Bull World Health Organ. 2016;94(12):931-934. doi: 10.2471/BLT.15.156323</mixed-citation><mixed-citation xml:lang="en">Khatibzadeh S, Saheb Kashaf M, Micha R, et al.; Global Burden of Diseases Nutrition; Chronic Diseases Expert Group (NutriCode). A global database of food and nutrient consumption. Bull World Health Organ. 2016;94(12):931-934. doi: 10.2471/BLT.15.156323</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Durazzo A, Astley S, Kapsokefalou M, et al. Food composition data and tools online and their use in research and policy: EuroFIR AISBL contribution in 2022. Nutrients. 2022;14(22):4788. doi: 10.3390/nu14224788</mixed-citation><mixed-citation xml:lang="en">Durazzo A, Astley S, Kapsokefalou M, et al. Food composition data and tools online and their use in research and policy: EuroFIR AISBL contribution in 2022. Nutrients. 2022;14(22):4788. doi: 10.3390/nu14224788</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Marconi S, Durazzo A, Camilli E, et al. Food Composition Databases: Considerations about Complex Food Matrices. Foods. 2018;7(1):2. doi: 10.3390/foods7010002</mixed-citation><mixed-citation xml:lang="en">Marconi S, Durazzo A, Camilli E, et al. Food Composition Databases: Considerations about Complex Food Matrices. Foods. 2018;7(1):2. doi: 10.3390/foods7010002</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Бессонов В.В., Богачук М.Н., Боков Д.О. и др. Базы данных химического состава пищевых продуктов в эпоху цифровой нутрициологии // Вопросы питания. 2020. Т. 89. № 4. С. 211-219. doi: 10.24411/0042-8833-2020-10058</mixed-citation><mixed-citation xml:lang="en">Bessonov VV, Bogachuk MN, Bokov DO, et al. Databases of the chemical composition of foods in the era of digital nutrition science. Voprosy Pitaniya. 2020;89(4):211-219. (In Russ.) doi: 10.24411/0042-8833-2020-10058</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>
