Contribution of playtime, sedentary behavior, and physical activity to body mass index of e-sports players

Purpose of the study: to determine whether playtime, sedentary behavior, and physical activity contribute to the body mass index of e-sports players. 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. 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 R ² = 0.009. In contrast, physical activity does not exhibit a significant relationship with BMI ( p = 0.824). 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.