Sports Participation and Value of Elite Sports in Predicting Well-Being

Silva, Alfredo; Sobreiro, Pedro; Monteiro, Diogo

http://hdl.handle.net/10400.8/6441

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Authors

Silva, Alfredo

Sobreiro, Pedro

Monteiro, Diogo

Abstract(s)

This work contributes to emerging literature focused on the role of physical activity on the subjective well-being of populations. Unlike the existing literature, it proposes an approach that uses algorithms to predict subjective well-being. The aims of this study were to determine the relative importance of sports participation and the perceived value of elite sports on the subjective well-being of individuals. A total of 511 participants completed an online questionnaire. The statistical analysis used several machine learning techniques, including three algorithms, Decision Tree Classifier (DTC), Random Forest Classifier (RFC), and Gradient Boosting Classifier (GBC). In the three algorithms tested, sports participation, expressed as the weekly frequency and the time spent engaging in vigorous physical activity, showed a greater importance (between 47% and 53%) in determining subjective well-being. It also highlights the effect of perceived value of elite sport on the prediction of subjective well-being. This study provides evidence for public sport policy makers/authorities and for managers of physical activity and sport development programs. The surprising effect of the perceived value of elite sport on the prediction of subjective well-being.

Keywords

Elite sport Physical activity Sports participation Sports policy Subjective well-being

URI

http://hdl.handle.net/10400.8/6441

Citation

Silva, A.; Sobreiro, P.; Monteiro, D. Sports Participation and Value of Elite Sports in Predicting Well-Being. Sports 2021, 9, 173. https://doi.org/10.3390/sports 9120173