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Vedrana Sember, Shawnda A. Morrison, Gregor Jurak, Marjeta Kovač, Mojca Golobič, Poljanka Pavletić Samardžija, Mojca Gabrijelčič, Marko Primožič, Tjaša Kotar, Janet Klara Djomba, and Gregor Starc
Vedrana Sember, Gregor Starc, Gregor Jurak, Mojca Golobič, Marjeta Kovač, Poljanka Pavletič Samardžija, and Shawnda A. Morrison
Background:
This is the first assessment of the Republic of Slovenia’s efforts to synthesize and report physical activity (PA) standards for children and youth following the Active Healthy Kids Global Alliance grading system model.
Methods:
The Republic of Slovenia Report Card relies on research findings published in peer-reviewed journals, data compiled from national databases, and government initiatives which have been monitoring physical fitness standards in schools for the past 34 years (SLOfit and ACDSi). The Report Card initiative has been jointly coordinated by the University of Primorska and the University of Ljubljana. A Research Work Group consisting of 12 representatives from various aspects of Slovenia’s public, private, and government sectors convened to evaluate evidence and assign grades for each PA indicator.
Results:
Grades (A, highest, to F, lowest; INC, incomplete) for Slovenia are as follows: Overall Physical Activity (A-), Organized Sport Participation (B-), Active Play (D), Active Transportation (C), Sedentary Behaviors (B+), Family and Peers (INC), Schools (A), Community and the Built Environment (INC), and Government (B+).
Conclusions:
This inclusive PA report indicates that overall physical activity minutes remain high in Slovenian children and youth; however, more research is needed to determine the effects of family life, peer influences, and the built environment on active play behaviors.
Diego Augusto Santos Silva, Salomé Aubert, Kwok Ng, Shawnda A. Morrison, Jonathan Y. Cagas, Riki Tesler, Dawn Tladi, Taru Manyanga, Silvia A. González, Eun-Young Lee, and Mark S. Tremblay
Background: The aim of this study was to explore the associations between the 10 key indicators of the Global Matrix 4.0 project and human development index (HDI) at a national level according to sex, age, area of residence, and ability levels. Methods: Information from the 57 countries/localities included in the Global Matrix 4.0 project was compiled and presented according to the HDI of each country/locality for each of the 10 key indicators. Grades were assigned based on the benchmarks of the Global Matrix 4.0 project ranged between “A+” (best performance) and “F” (worst performance). Results: The population subgroups of females, children, rural residents, with/without disabilities from countries/localities with higher HDI performed better in the organized sport and physical activity indicator than their peers from countries/localities with lower HDI. Children and adolescents living in rural areas of countries/localities with higher HDI showed better performance for active play, and children and adolescents living in urban areas of countries/localities with lower HDI showed better performance for the active transportation. Countries/localities with higher HDI showed better grades for sources of influence than the countries/localities with lower HDI. Conclusions: Physical activity patterns in some population subgroups of children and adolescents differed according to the development level of countries/localities.
Eun-Young Lee, Patrick Abi Nader, Salomé Aubert, Silvia A. González, Peter T. Katzmarzyk, Asaduzzaman Khan, Wendy Y. Huang, Taru Manyanga, Shawnda Morrison, Diego Augusto Santos Silva, and Mark S. Tremblay
Background: Macrolevel factors such as economic and climate factors can be associated with physical activity indicators. This study explored patterns and relationships between economic freedom, climate culpability, and Report Card grades on physical activity-related indicators among 57 countries/jurisdictions participating in the Global Matrix 4.0. Methods: Participating countries/jurisdictions provided Report Card grades on 10 common indicators. Information on economic freedom and climatic factors were gathered from public data sources. Correlations between the key variables were provided by income groups (ie, low- and middle-income countries/jurisdictions and high-income countries/jurisdictions [HIC]). Results: HIC were more economically neoliberal and more responsible for climate change than low- and middle-income countries. Annual temperature and precipitation were negatively correlated with behavioral/individual indicators in low- and middle-income countries but not in HIC. In HIC, correlations between climate culpability and behavioral/individual and economic indicators were more apparent. Overall, poorer grades were observed in highly culpable countries/jurisdictions in the highly free group, while in less/moderately free groups, less culpable countries/jurisdictions showed poorer grades than their counterparts in their respective group by economic freedom. Conclusions: Global-level physical activity promotion strategies should closely evaluate different areas that need interventions tailored by income groups, with careful considerations for inequities in the global political economy and climate change.
