Background: The Global Matrix 4.0 on physical activity (PA) for children and adolescents was developed to achieve a comprehensive understanding of the global variation in children’s and adolescents’ (5–17 y) PA, related measures, and key sources of influence. The objectives of this article were (1) to summarize the findings from the Global Matrix 4.0 Report Cards, (2) to compare indicators across countries, and (3) to explore trends related to the Human Development Index and geo-cultural regions. Methods: A total of 57 Report Card teams followed a harmonized process to grade the 10 common PA indicators. An online survey was conducted to collect Report Card Leaders’ top 3 priorities for each PA indicator and their opinions on how the COVID-19 pandemic impacted child and adolescent PA indicators in their country. Results: Overall Physical Activity was the indicator with the lowest global average grade (D), while School and Community and Environment were the indicators with the highest global average grade (C+). An overview of the global situation in terms of surveillance and prevalence is provided for all 10 common PA indicators, followed by priorities and examples to support the development of strategies and policies internationally. Conclusions: The Global Matrix 4.0 represents the largest compilation of children’s and adolescents’ PA indicators to date. While variation in data sources informing the grades across countries was observed, this initiative highlighted low PA levels in children and adolescents globally. Measures to contain the COVID-19 pandemic, local/international conflicts, climate change, and economic change threaten to worsen this situation.

Background The extreme social circumstances caused by declared COVID-19 pandemic deeply intervene people’s everyday life and should not be neglected but seen through the view of social reality pinpointing the ‘ordinary’ people. In this article, authors explored basic segments of everyday and their subjective perception to what extent sleeping habits, physical inactivity, physical activity, nutritional habits and smoking have changed. Methods The online survey was conducted in nine European countries (Bosnia and Herzegovina, Croatia, Greece, Kosovo*, Italy, Serbia, Slovakia, Slovenia and Spain) in 4108 participants, aged 15–82 years. The survey took place 30–40 days after World Health Organization declared COVID-19 pandemic state, from 15 April to 3 May 2020. Results The results have shown 30 min longer sleeping time, 50% longer physical inactivity time, 65% longer screen time, 43% shorter walking time, 24% shorter sport time and 37% longer physical work time. Additionally, body mass gains (0.3 kg) could be explained in 20.6% with meals sizes, unhealthy food consumption, screen time and sport time. Further, respondents reported more regular meals (44%) and healthier meals with less alcohol consumption and less smoking, which have been positive outcomes of home confinement. Conclusion The findings draw attention to negative changes in everyday praxis (inactivity, body mass gain) after such a short period. Because of possible risk to population’s health (especially of countries such as Italy and Spain with serious threat and more stringent measures), findings enable development of recommendations for maintaining healthy lifestyle habits with minimal negative health consequences in similar pandemic circumstances.

Eating disorders (EDs) represent a disparate group of mental health problems that significantly impair physical health or psychosocial functioning. The aim of this study was to present some evidence about the prevalence of eating-disordered behavior (EDB) in adolescents, and explore its associations with body image (BI), body composition (BC) and physical activity (PA) in this age group. Data from 780 adolescents participating in a health behavior in school-aged children (HBSC) study conducted in Slovakia in 2018 were used (mean age 13.5 ± 1.3; 56% boys). Differences in mean values of numerical indicators were evaluated using the independent samples t-test. Differences between nominal variables were assessed by the chi-square test. Pearson correlation was used to describe the associations between all the selected variables. EDB was positively screened in 26.7% (208/780) of adolescents, with a higher prevalence in girls (128/344, 37.2%) than in boys (80/436, 18.3%). Significantly higher means of BI, body weight (BW), body mass index (BMI), body fat mass (BFM), body fat percentage (BFP), body fat mass index (BFMI), fat free mass index (FFMI), and SCOFF questionnaire score (SCOFF QS) were found in those positively screened for EDB. Pearson correlation analysis revealed positive associations between EDB and BI, BW, BMI, BFM, BFP and BFMI. The prevalence of EDB is high in Slovak adolescents. Positive associations between EDB, BI, BMI and fat-related body composition parameters support the idea of a more integrated approach in EDs and obesity prevention and treatment. At the same time, gender differences suggest the need for considering gender-specific strategies aimed at girls and boys separately.

WHO (2010) recommends that children and youth aged 5-17 should accumulate at least 60 minutes of moderate-to-vigorous intensity PA (MVPA) daily. The dose-response relations observed in observational studies in children and adolescents indicate that the more PA, the greater the health benefit (Janssen & LeBlanc, 2010). On contrary, sedentary behaviour and poor physical fitness in adolescence are associated with poor health outcomes (

There is a worrisome increase in the reporting of medically attended injuries in Slovak adolescents. The aim of this study is to examine the relationships between socio-economic factors, physical fighting, and physical activity with frequency of medically attended injuries among this population group. Data from 8902 adolescents participating in the Health Behavior in School-Aged Children study were used (mean age 13.37; 50.9% boys). The effects of family affluence, registered unemployment rate, average nominal monthly earnings of employees, physical fighting, and physical activity on frequency of medically attended injury were explored using linear regression analysis. Pearson’s correlation was used to describe the associations between all selected variables. The selected model of linear regression explained 15.8% of the variance in the frequency of medically attended injuries. All variables except the registered unemployment rate showed linear positive relationships with medically attended injuries. The correlation analysis confirmed linear positive associations between medically attended injuries and physical fighting, family affluence, physical activity, and average nominal monthly earnings of employees. Further research on these variables is needed in the Slovak context. This may include analyses of the nature of the relationships between socio-economic factors and medically attended injuries, as well as systematic evaluation of applied physical fighting and physical-activity-related injury interventions to support evidence-based policy making.