Download presentation
Presentation is loading. Please wait.
Published byBenjamin Johnston Modified over 6 years ago
1
The transition to adulthood: a game changer?
Panel analyses of the impact of major life events on sport participation Jasper van Houten PhD Candidate Gerbert Kraaykamp Professor of Sociology Ben Pelzer Assistant professor, Methodologist
2
Sport participation during the life course (NL)
Sources: (a)Vrijetijdsomnibus (VTO) 2012 en 2014, SCP/CBS; (b)Gezondheidenquête/Leefstijlmonitor (b), CBS i.s.m. RIVM 2014
3
Sport participation during the life course (EU)
How often do you exercise or play sport? (Source: 2014 Special Eurobarometer 412; Sport and P.A.) Sport club membership (Source: 2014 Special Eurobarometer 412; Sport and P.A.)
4
Sport participation: a life course perspective
adolescence transition to adulthood adulthood Life phases transition to adulthood Life events Starting to work Start cohabiting/ getting married Becoming a parent
5
Impact of major life events
Theory: a resource approach
6
Impact of major life events
Results: earlier research - ? + Chance for (young) adults to start/stop practising a sport ? +
7
Impact of major life events
Research question current research ? ? ?
8
Method (data) NELLS (NEtherlands Longitudinal Lifecourse Study)
National representative panel of 15 to 45 year olds 2 waves: 2009 and 2013 Face-to-face interview & self completion/web survey Excluded from the dataset are respondents who Had an “adult status” at wave 1 but a “adolescent status” at wave 2 (because we want to focus on the major life events that mark the transition to adulthood); N=463 Included in the dataset are respondents who: Participated in both waves and have no missing values (listwise deletion); N=2335 Practised sport (mostly) in a club setting at wave 1; N=522 (for analysing the switch from a club setting to another setting)
9
Method (measurements, for both waves)
Dependent variables: Number of different sports: practised in the last 12 months Sport frequency: times per month Sport setting: Club; Commercial (e.g. health/ fitness centre, gym, ice rink); Group (light community/ informal); Individual (alone); Not practising sport at all Major life events: Adolescent status (e.g. not a parent) = 0 Adult status (e.g. being a parent) = 1 Controls Gender (0=male; 1=female) Etnicity (dutch native=0; immigrant=1) Age
10
Method (analyses) Number of sports & Sport frequency
Regression analyses: Number of sports: poisson Sport frequency: negative binomial (because of overdispersion) Multilevel models for longitudinal data Between person effects: between-person differences (e.g. between parents and non-parents). Within person effects: within-person changes (e.g the effect of becoming a parent) Switching from a club setting to another setting Multinomial logistic regression analyses
11
Results Number of sports Sport frequency Exp(B) sig. 0.588 0.000***
Number of sports Sport frequency Exp(B) sig. Major life events Educational domain Not in fulltime education vs. in fulltime education (Between) 0.588 0.000*** 0.597 Leaving fulltime education (Within) 0.945 0.348 0.897 0.258 Employment domain Working vs. not working >32 hours a week (Between) 1.060 0.138 1.001 0.983 Starting to work >32 hours a week (Within) 0.975 0.723 0.871 0.194 Relationship domain In a relationship vs. single (Between) 1.122 0.054+ 1.063 0.449 Engaging in an intimate relationship (Within) 0.909 0.168 0.903 0.367 Civil/Marital domain Cohabiting/married vs. not cohabiting/not married (Between) 0.931 0.275 0.955 0.593 Starting to cohabit/getting married (Within) 0.965 0.626 0.927 0.519 Parenthood domain Parent vs. non-parent (Between) 0.900 0.017* 0.823 0.001** Becoming a parent (Within) 0.819 0.014* 0.792 0.052+ Controls Female 0.783 0.807 Immigrant 0.894 0.887 0.002** Age Age: Being older (Between) 0.999 0.685 1.004 0.197 Aging: Getting older (Within) 0.816 1.020 0.011* Intercept 3.624 14.601 -41,2% -40,3% +12,2% -10,0% -17,7% -18,1% -20,8%
12
Results Switching from a club setting to another (non) organisational setting Wave 2 = Club (did not switch) Commercial (e.g. health/ fitness centre, gym) Group (light community/ informal) Individual (alone) Not practising sport anymore (young) adults who: practised sport mostly in a club wave 1 (100%; N=522) 52,7% 15,7% 12,3% 14,0% 5,4% And (between wave 1 and 2): left fulltime education (15,3%; N=80) 51,3% 10,0% 15,0% 17,5% 6,3% started working (>32 hours a week) (9,8%; N=51) 64,7% 11,8% 2,0% 13,7% 7,8% engaged in intimate relationship (13,2%; N=69) 44,9% 17,4% 10,1% 18,8% 8,7% started cohabiting/got married (14,2%; N=74) 9,5% 16,2% 14,9% 6,8% became a parent (7,3%; N=38) 55,3% 7,9% 15,8% 13,2%
13
Results Switching from practising sport (mostly) in a club setting to:
Commercial (e.g. health/ fitness centre, gym) Group (light community/ informal) Individual (alone) Not practising sport anymore (N=522) Exp(B) sig. Major life eventsc Educational domain Continued fulltime education ref. Left fulltime education 0.537 0.254 1.921 0.179 2.084 0.182 0.823 0.812 Already left fulltime education at wave 1 1.016 0.978 1.241 0.733 0.855 0.813 0.257 0.171 Employment domain Not working (>32 hours a week) Started working (>32 hours a week) 0.739 0.586 0.066 0.010* 0.520 0.225 1.515 0.569 Continued working (>32 hours a week) 0.798 0.584 0.440 0.065+ 1.035 0.936 1.039 0.954 Relationship domain Stayed single Engaged in an intimate relationship 2.102 0.129 0.625 0.479 3.657 0.015* 2.031 0.431 Continued an intimate relationship 1.099 0.863 0.501 0.319 1.765 0.324 0.140 0.147 Civil/marital domain Not cohabiting/married Started cohabiting/got married 0.512 0.252 2.668 0.154 0.696 0.504 2.225 0.397 Continued cohabitation/marriage 0.779 0.679 2.645 0.212 0.908 0.874 6.092 0.192 Parenthood domain Stayed childless Became a parent 0.508 0.339 1.168 0.796 0.743 3.124 0.186 Already a parent at wave 1 0.825 0.671 0.809 0.700 0.168 1.553 0.586 Controls Female 2.514 0.003** 1.073 0.841 1.537 0.204 1.909 0.213 Immigrant 2.375 0.002** 0.982 0.956 0.710 0.320 1.521 0.353 age (wave 1) 1.006 0.833 0.990 0.739 1.046 0.096+ 1.045 0.293 Educational level (highest) 0.954 0.353 0.926 0.169 0.943 0.254 0.899 0.188 Number of sports (wave 1) 0.935 0.417 0.592 0.955 0.898 0.212 0.664 0.013* Intercept 0.361 0.312 1.057 0.961 0.128 0.051+ 0.285 0.428 -93,4% -56,0% +276,9%
14
Conclusion Major life events can affect sport participation during the transition to adulthood To promote sport participation and prevent dropout during the transition to adulthood, it is important that sport providers, programs and policies respond to the specific needs and resources/restrictions related to the occurrence of major life events that mark this transition. Further research could focus on those specific needs and resources/restrictions
15
Conclusion To prevent this from happening
16
Thanks! Questions? J.vanHouten@maw.ru.nl
researchgate.net/profile/Jasper_Houten linkedin.com/in/jaspervanhouten Thanks! Questions?
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.