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Updated: Oct 17, 2025

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
Physical activity disparities across Europe: clustering European regions by health-related physical activity levels
Fernando Lera-Lopez1, Rocio Marco2
1Department of Economics, Public University of Navarra, Campus Arrosadía s/n, 31006 Pamplona, Spain.
Abstract:
In the context of stagnating global levels of physical activity (PA), this study examines the geographical segmentation of PA at the regional level (196 regions) in Europe. Cluster analysis and multinomial logistic regression are applied. Cluster analysis provides a taxonomy of four differentiated groups according to the health-related PA levels of the European regions. This taxonomy shows that there are significant regional disparities among European countries in terms of the regional PA level. The cluster profiles in terms of regional socioeconomic characteristics are described for each group, emphasizing the regional characteristics associated with PA. Regional economic variables, tertiary education and social Internet use are significant variables for characterizing the types of regions. The results emphasize the relevance of a European regional approach for reducing inter-regional PA disparities and improving health through PA in Europe. Practical implications of this research are based on regional European coordination, such as collaborative models of sport infrastructure use, co-financing of inter-regional facilities, mutual physical educational scholar programs and promotion of common inter-regional sport competitions and sporting events. Finally, formal schemes for exchanging of best regional practices to promote health-enhancing PA might increase the perception and the role of PA at the regional level in the European society.
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