Abstract
The paper presents the importance of monitoring participation in sports and physical activities. In fact, the regular practice of physical activity brings physical, psychological and social benefits. The Governments should support the measures taken in this field by the monitoring, control work, preparation of appropriate tools and platforms, evaluation and research. We analyse the results from Special Eurobarometer survey (2014) and discuss their limits, suggesting new strategies to improve their use to individualize patterns and rankings of the 28 EU countries in sports participation. For this purpose, we did not analyse issued results, but reprocess the individual record file in a different way, using COMPASS strategy to help us. We applied a multivariate statistical model (logistic regression) to study which are the determinants of sport participation in the European Union.
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Notes
- 1.
According to the results for the three components (quality, quantity and organization), the COMPASS levels of participation are: (1) regular sport, (2) regular recreation, (3) almost-regular sport, (4) almost-regular recreation, (5) irregular, (6) occasional, and (7) nonparticipation.
- 2.
At least three times per week.
- 3.
Porro (2013) proposed a welfare typology for the European Union’s state members using this classification: “corporative” (Austria, Belgium, France, Germany, Luxembourg, and the Netherlands); “social democratic” (Denmark, Finland, and Sweden); “ex-communist” (Bulgaria, Croatia, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, and Slovenia); “family” (Cyprus, Greece, Italy, Malta, Portugal, and Spain); and “liberal” (Great Britain and Ireland).
- 4.
For these three questions, the possible answers (with their relative scores) were: “totally disagree” (−2); “tend to disagree” (−1); “tend to agree” (+1); “totally agree” (+2); and “don’t know” (0; also includes missing answers).
- 5.
The ranking in the third question is reversed, as people with favourable conditions should tend to reply negatively to this question.
- 6.
***p < 0.001; **p < 0.01; *p < 0.05. If the coefficient is not significant, the cell is empty.
References
Agresti, A. (2010). Analysis of Ordinal Categorical Data, Second Edition. Wiley Series in Probability and Statistics.
Castejon, Paz B., de Dios Garcia Martinez, J., Carbalada, R. (1973). Rationalising Sports Policies. Outline of a Methodology. Strasbourg: Council of Europe.
Claeys, U. (1982). Rationalising Sports Policies. Sport in European Society: a Transnational Survey into Participation and Motivation. Strasbourg: Council of Europe.
European Commission (2014). Sport and physical activity. Special Eurobarometer 412. Brussels: European Commission DG Education and Culture.
Gratton, C., et al. (1999). COMPASS 1999. A project seeking the co-ordinated monitoring of participation in sports in Europe. London: UK Sport.
Gratton, C., Rowe, N., Veal, A. J. (2011). International Comparisons of Sports Participation in European Countries. An Update of the COMPASS Project. European Journal of Sport & Society 8 (1–2), 99–116.
Harrell, F. E. (2001). Regression Modelling Strategies. Springer.
Mussino, A. (1999). Conceptual and Operational Problems in Measuring Participation in Sports. Bulletin of the International Statistical Institute, 52nd ISI Session LVIII (2), 345–346. Helsinki: ISI.
Mussino, A. (2004). L’armonizzazione delle statistiche sulla partecipazione sportiva: una sfida europea. Rivista Italiana di Economia, Demografia e Statistica LVIII (1–2) (2004),. 149–176.
Mussino, A. (2014). Levels and Typologies of Participation in Sports in Europe: Methodological and Operational Challenges. Journal of Sports Science, vol. 2, pp. 32–46, ISSN: 2332-7839.
Porro, N. (2013). Europa, sistemi sportivi e integrazione comunitaria. In Pioletti, A.M. & Porro, N. (Eds.) Lo sport degli europei. Cittadinanza, attività, motivazioni (pp. 17–71). Milano: Franco Angeli.
Rodgers, B. (1977). Rationalising Sports Policies. Sport in its Social Context: International Comparisons. Strasbourg: Council of Europe.
World Health Organisation (2007). HEPA Europe. Copenhagen: WHO Regional Office for Europe.
World Health Organisation (2015). Physical activity strategy for the WHO European Region 2016–2025. Copenhagen.
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Mussino, A., Cosmai, R. (2019). Sports and Physical Activities in Europe: How to Measure Active Lifestyles. In: Bianco, A., Conigliaro, P., Gnaldi, M. (eds) Italian Studies on Quality of Life. Social Indicators Research Series, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-06022-0_25
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