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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Ekologiya cheloveka (Human Ecology)</journal-id><journal-title-group><journal-title xml:lang="en">Ekologiya cheloveka (Human Ecology)</journal-title><trans-title-group xml:lang="ru"><trans-title>Экология человека</trans-title></trans-title-group></journal-title-group><issn publication-format="print">1728-0869</issn><issn publication-format="electronic">2949-1444</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">35099</article-id><article-id pub-id-type="doi">10.33396/1728-0869-2020-4-33-41</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">ASSOCIATIONS BETWEEN PHYSICAL ACTIVITY IN ADULTS AND WALKABILITY OF THE NEIGHBORHOOD</article-title><trans-title-group xml:lang="ru"><trans-title>Физическая активность населения в зависимости от проходимости района проживания</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Maksimov</surname><given-names>S. A.</given-names></name><name xml:lang="ru"><surname>Максимов</surname><given-names>Сергей Алексеевич</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Fedorova</surname><given-names>N. V.</given-names></name><name xml:lang="ru"><surname>Федорова</surname><given-names>Наталья Васильевна</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Tsygankova</surname><given-names>D. P.</given-names></name><name xml:lang="ru"><surname>Цыганкова</surname><given-names>Дарья Павловна</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат медицинских наук, научный сотрудник лаборатории эпидемиологии сердечно-сосудистых заболеваний</p></bio><email>darjapavlovna2014@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Shapovalova</surname><given-names>E. B.</given-names></name><name xml:lang="ru"><surname>Шаповалова</surname><given-names>Эвелина Борисовна</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Indukayeva</surname><given-names>E. V.</given-names></name><name xml:lang="ru"><surname>Индукаева</surname><given-names>Елена Владимировна</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Artamonova</surname><given-names>G. V.</given-names></name><name xml:lang="ru"><surname>Артамонова</surname><given-names>Галина Владимировна</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Research Institute of Complex Problems of Cardiovascular Diseases</institution></aff><aff><institution xml:lang="ru">ФГБНУ «Научно-исследовательский институт комплексных проблем сердечно-сосудистых заболеваний»</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2020-04-15" publication-format="electronic"><day>15</day><month>04</month><year>2020</year></pub-date><volume>27</volume><issue>4</issue><issue-title xml:lang="en">NO4 (2020)</issue-title><issue-title xml:lang="ru">№4 (2020)</issue-title><fpage>33</fpage><lpage>41</lpage><history><date date-type="received" iso-8601-date="2020-07-09"><day>09</day><month>07</month><year>2020</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2020, Maksimov S.A., Fedorova N.V., Tsygankova D.P., Shapovalova E.B., Indukayeva E.V., Artamonova G.V.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2020, Максимов С.А., Федорова Н.В., Цыганкова Д.П., Шаповалова Э.Б., Индукаева Е.В., Артамонова Г.В.</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="en">Maksimov S.A., Fedorova N.V., Tsygankova D.P., Shapovalova E.B., Indukayeva E.V., Artamonova G.V.</copyright-holder><copyright-holder xml:lang="ru">Максимов С.А., Федорова Н.В., Цыганкова Д.П., Шаповалова Э.Б., Индукаева Е.В., Артамонова Г.В.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc-nd/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://hum-ecol.ru/1728-0869/article/view/35099">https://hum-ecol.ru/1728-0869/article/view/35099</self-uri><abstract xml:lang="en"><p>The aim: to study associations between physical activity in adults with the walkability of the neighborhood, as well as to assess modifying effects of socio-economic and individual characteristics on these associations. Methods. In total, 1263 residents of Kemerovo city aged 35-70 years participated in a cross-sectional study. Subjective assessment of the infrastructure of the area of residence was assessed using the Russian version of the Neighborhood Environmental Walkability Scale (NEWS). Physical activity was assessed over the past 7 days using the Russian version of the International Physical Activity Questionnaire (IPAQ). Logistic regression was applied to study associations between independent variables and the outcome as well as effect modifications. Odds ratios (OR) and 95 % confidence intervals (CI) were calculated. Results. The frequency of reporting car driving was 27.7 %, bicycle riding - 3.6 % (8.8 % during summer months), participation in transport walking - 85.5 %, recreational walking - 57.8 %, sports and physical exercises - 26.9 %. Sufficient walking levels were reported by 72.4 % of participants. Walking for more than 150 minutes per week with an was associated with better walkability, but only in a cold season (OR = 1.89; 95% CI: 1.39-2.57). The influence of the residence area on participation in sports and physical exercises is modified by income level: for low-income individuals, the relationship is statistically significant (OR = 1.44; 95 % CI: 1.05-1.97), in contrast to the individuals with high income. Conclusions. Living in areas with high walkabiity is positively associated with participation in transport and recreational walking, sports and is negatively associated with the use of cars and bicycles. Associations between walkability of the neighborhood and physical activity variy significantly by gender, age, income and the season.</p></abstract><trans-abstract xml:lang="ru"><p>Цель: изучение ассоциаций физической активности населения с проходимостью района проживания, а также анализ модифицирующего влияния на данные ассоциации социально-экономических и индивидуальных особенностей. Методы. Одномоментное исследование проведено в популяции 35-70 лет жителей г. Кемерова и Кемеровского района. Субъективная оценка инфраструктуры района проживания оценивалась у 1 263 человек по русской версии анкеты Neighborhood Environmental WaLkabiLity Scale (NEWS). Физическая активность оценивалась за последние 7 дней по русской версии анкеты International Physical Activity Questionnaire (IPAQ). Для оценки ассоциаций применялся логистический регрессионный анализ: однофакторный анализ, многофакторный с корректировкой на ковариаты, оценка модификаторов основного эффекта. Рассчитывалось отношение шансов (ОШ) и 95 % доверительный интервал (ДИ). Результаты. В целом по всей выборке частота использования автомобиля составила 27,7 %, велосипеда - 3,6 % (летом 8,8 %), участия в транспортной ходьбе - 85,5 %, в рекреационной ходьбе - 57,8 %, в спортивных и физических упражнениях - 26,9 %, в достаточном для здоровья уровне ходьбы - 72,4 %. Повышение вероятности ходьбы более 150 минут в неделю при увеличении проходимости характерно для холодного периода года (ОШ = 1,89; 95 % ДИ: 1,39-2,57), но не для теплого. Влияние проходимости района проживания на участие в спорте и физических упражнениях модифицируется уровнем дохода: у лиц с низким доходом связь статистически значима (ОШ = 1,44; 95 % ДИ: 1,05-1,97) в отличие от лиц с высоким доходом. Выводы. Проживание в высоко проходимых районах положительно ассоциируется с участием в транспортной и рекреационной ходьбе, занятиях спортом, но отрицательно - с использованием автомобилей и велосипедов. Выраженность влияния проходимости района проживания на физическую активность существенно различается в зависимости от пола, возраста, уровня дохода жителей, а также сезона года.</p></trans-abstract><kwd-group xml:lang="en"><kwd>physical activity</kwd><kwd>neighborhood</kwd><kwd>walkability</kwd><kwd>socio-economic factors</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>физическая активность</kwd><kwd>район проживания</kwd><kwd>проходимость</kwd><kwd>социально-экономические факторы</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Барбараш О. Л., Артамонова Г. В., Индукаева Е. В., Максимов С. А. Международное эпидемиологическое исследование неинфекционных заболеваний в России: протокол исследования // Комплексные проблемы сердечно-сосудистых заболеваний. 2018. Т. 7, № 4. С. 128-135.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Засимова Л. С., Локтев Д. А. Занятия спортом - удел богатых? 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