AbstractIn a context of a rise in physical inactivity, this paper aims to provide new insights about the relationship between different forms of sport engagements and their correlates, analysing, for the first time, both active and passive sport involvement for a large sample of individuals. Applying the cluster technique, we identify four different segments of sports involvement among the Spanish population: non-sporty, exclusively practitioner, balanced practitioner, and basically spectator. Also, we develop a multinomial logit model to analyse the main sociodemographic, physical, and sports features that could increase the individual sport involvement, from the non-sporty segment, which assembles the highest number of individuals, to the other clusters. Most of the variables under analysis show a different impact on sport involvement: some of them stimulate active participation (e.g. being member of private sport clubs), whereas others mainly encourage sport attendance (e.g. readers and listeners of sport news, children in the household), and other variables boost sport engagement in general (e.g. being male, educational level, health status, e-sports). The results may have significant implications in terms of developing a general perspective about sport engagement, including both active and passive participation. Particularly, our findings suggest that active and passive sport engagement do not seem to be negatively associated and they can coexist at different levels.
Keywords: Sports participation; attendance; clusters; health; spectatorship.