112 | Chapter 14 between-person differences in the number of sports and the frequency of sport participation after each of the major life events in the models. In Poisson and negative binomial models, the Exp(B) parameter of a predictor was interpreted as a percentage change in the number of sports, or sport frequency, given a 1-unit increase of the predictor in question.Third, to study the extent that major life events affected dropping out from club-organised sport during the transition to adulthood, we conductedmultinomial logistic regression analyses. We related the occurrence of major life events to whether or not respondents switched from practising sport (mostly) in a club setting to practising sport in a “light” setting (commercial/alternative, group or individual), or not practising sport at all. The Exp(B) parameters in these analyses can be interpreted as a percentage change of the odds of switching versus staying in a club setting given a 1-unit increase of the independent variable. Regarding the five major life events, an Exp(B) greater than 1 indicates that the odds of switching to a “light” setting or stopping are higher for those who experienced the event between both waves or prior to the first wave, compared to respondents who did not experience that event (reference category). During the four-year period under investigation, the major life events often happened in multiples. For example, of all respondents who entered an intimate relationship, 76% also experienced one or more of the other events. Themost solitary event was becoming a parent, though 39%of the respondents who became a parent also experienced at least one other event. As a result of their connectedness, the independent influences of the life events on sporting behaviour were not easily established; including all events in a single regression model produced unstable estimates for the data at hand. Hence, we examined the influence of each event in a separate analysis, in which we controlled for gender, migration background, and age (plus educational level and number of sports when analysing dropping out of club-organised sport), but not for the influence of the other events. This resulted in multiple estimates for the controls and other statistics (e.g., the intercept, the log likelihood, and the Wald chi-square), which are therefore not presented. The complete results from these separate analyses, as well as from additional analyses including all events and controls simultaneously, are available in appendix C.