smjournalСпортивная медицина: наука и практикаSports medicine: research and practice2223-25242587-9014NEICON10.47529/2223-2524.2024.4.3smjournal-701Research ArticleРЕАБИЛИТАЦИЯREHABILITATIONВлияние игрового времени, сидячего образа жизни и физической активности на индекс массы тела киберспортсменовContribution of playtime, sedentary behavior, and physical activity to body mass index of e-sports playershttps://orcid.org/0009-0004-0580-5016ИндрапрастхаАнния ШактиIndraprasthaAnnya Shakty

Анния Шакти Индрапрастха, студент, кафедра физиотерапии,

Ул. А. Яни, почтовый ящик 1, Пабелан, Картасура, Суракарта, 57162.

Annya Shakty Indraprastha, Student, Department of Physiotherapy,

Jl. a. Yani Tromol Pos 1 Pabelan, Kartasura, Surakarta, Indonesia, 57162. 

annyashakty@gmail.comhttps://orcid.org/0000-0001-7397-4306РахманФаридRahmanFarid

Фарид Рахман, доцент, кафедра физиотерапии, исследователь физической активности и благополучия в определенном сообществе,

Ул. А. Яни, почтовый ящик 1, Пабелан, Картасура, Суракарта, 57162.

Farid Rahman, Associate Professor, Department of Physiotherapy, Researcher of Physical Activity and Wellbeing in Certain Community,

Jl. a. Yani Tromol Pos 1 Pabelan, Kartasura, Surakarta, 57162.

farid.rahman@ums.ac.idУниверситет Мухаммадия СуракартаИндонезияUniversity Muhammadiyah SurakartaIndonesia2024180620251444956Copyright © Индрапрастха А.Ш., Рахман Ф., 20252025Индрапрастха А.Ш., Рахман Ф.Indraprastha A.S., Rahman F.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.smjournal.ru/jour/article/view/701Цель исследования

Цель исследования: определить, влияют ли игровое время, малоподвижный образ жизни и физическая активность на индекс массы тела игроков в киберспорт.

Материалы и методы

Материалы и методы. В качестве метода отбора участников в данном исследовании использовалась невероятностная выборка со случайным методом отбора. Общая выборка в данном исследовании составила 386 человек, которые являются игроками киберспорта из Индонезии. При анализе данных использовался метод Колмогорова—Смирнова для определения нормальности данных, коэффициент ранговой корреляции Спирмена для определения корреляции и порядковая регрессия была использована для определения вклада независимых переменных в зависимую переменную.

Результаты корреляционного теста показывают, что время игры не имеет значительной связи с индексом массы тела (ИМТ) среди игроков в киберспорт (p = 0,062). При этом сидячий образ жизни демонстрирует значительную связь с ИМТ (p = 0,018), что позволяет предположить, что малоподвижный образ жизни может способствовать изменению ИМТ. Более того, малоподвижный образ жизни объясняет лишь небольшую часть дисперсии ИМТ (R² = 0,009). Было обнаружено, что наличие физической активности и ИМТ не связаны (p = 0,824).

Выводы

Выводы: исходя из полученных результатов, существует взаимосвязь между малоподвижным образом жизни и ИМТ, в то время как время игровое время и уровень физической активности не имеют взаимосвязи с индексом массы тела игроков в киберспорт. 

Purpose of the study

Purpose of the study:  to determine whether playtime, sedentary behavior, and physical activity contribute to the body mass index of e-sports players.

Methods

Methods. The sampling technique in this study used non-probability sampling with an accidental sampling method. The total sample in this study amounted to 386 people, who are e-sports players from Indonesia. The data analysis used Kolmogorov-Smirnov method to determine data normality, correlation test used Spearman’s rho, and ordinal regression was used to determine the contribution of independent variables related to the dependent variable.

Results

Results. The correlation test results indicate that playtime is not significantly associated with body mass index (BMI) among e-sports players (p = 0.062). However, sedentary behavior shows a significant correlation with BMI (p = 0.018), suggesting that sedentary behavior may contribute to BMI variations. Furthermore, sedentary behavior accounts for only a small proportion of the variance in BMI, with a contribution of R² = 0.009. In contrast, physical activity does not exhibit a significant relationship with BMI (p = 0.824).

Conclusion

Conclusion: based on the results, there is correlation between sedentary behavior and BMI, while playtime and physical activity have no correlation to the body mass index of e-sports players.

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The authors declare that there are no conflicts of interest present.