3 | 87 When do young adults stop practising a sport? ANALYSES AND RESULTS Stop practising a sport and ending a sport club membership in young adulthood Table 3.2 presents the results of binomial logistic regression of stopping participation in a sport and ending a sport club membership in young adulthood (ages 18 to 35). It is important to note that stopping a sport or ending a membership in these analyses does not necessarily mean dropping out of sport altogether. Respondents may practise two or even more sports at the same time and only stop practising one; or they may give up one sport but start a new sport at the same time, thus continuing sport participation. We also conducted binomial logistic regression to determine the effects of the four life events on the risk of completely withdrawing from sport in young adulthood. The results of this analysis are largely comparable to those presented in Table 3.2 and available in Table B1 of the Appendix. Another important note is that in the analyses as presented in this chapter, we did not take into account possible “anticipation” and “knock-on” effects of the life events. However, people may exhibit particular behaviour (i.e., stop a sport or end a club membership) ahead of time, in the knowledge that they will experience a major life event in the near future, or with some delay, because the life event had a greater impact than they initially assumed or as it became influential only after a certain amount of time has elapsed. Table B2 in the Appendix provides the results of additional analyses in which the anticipation and “knock-on” effects were taken into account. These results are largely comparable to those presented in Table 3.2. For both stopping participation in a sport and ending a sport club membership, we estimated two models. Model 1 includes the controls (personal characteristics and sport-related habits). Model 2 includes these and the four life events. The obtained b-coefficients are logit parameters; logarithms of the odds. The odds represent the ratio of the probability of an event (stop practising a sport or ending a sport club membership) occurring to the probability of no event occurring (continuing sport participation or club membership); p / 1 – p. In turn, the probability of stopping can be derived from the odds (p=odds / (odds + 1)). Essentially, a positive b-coefficient indicates that if the value of an independent variable increases (e.g., when a life event is experienced), the risk to stop practising a sport or end a sport club membership also increases.
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