The second edition of the Czech Republic's Report Card on Physical Activity for Children and Youth was released in 2022. This paper describes the development of the Report Card and presents a comprehensive summary of the main findings. The multi-level search strategy was developed by the national expert panel to identify the available sources that provide data related to the physical activity of Czech children and adolescents. The data were used to assign grades to ten core and two additional indicators. A total of 28 sources provided data that allowed grades to be assigned to 11 out of the 12 indicators. Grade B was assigned to six indicators (School: B+, Community and Environment: B, Organized Sport and Physical Activity: B–, Active Transportation: B–, Family and Peers: B–, Sleep: B–), grade C to three indicators (Overall Physical Activity: C+, Active Play: C, Physical Literacy: C), and grade D to two indicators (Government: D+, Sedentary Behaviors: D). No grade for the “Physical Fitness” indicator could be assigned due to a lack of data collected in the reference period 2018–2019. Although the family, school, and built environment provided a variety of opportunities to be physically active, a high proportion of children and adolescents did not meet the current physical activity guideline and were exposed to excessive sedentary behavior. A multisectoral and multidisciplinary response is required to reduce the health and economic burden of physical inactivity and excessive sedentary behavior among Czech children and adolescents.

The role of supportive environments on health, wellbeing, and longevity has been widely recognized. However, there is no strong empirical evidence on the association between health literacy (HL) as a particular health-related competence and neighbourhoods. Therefore, the aim of the study was to assess the association between the features of neighbourhoods and the level of HL competencies of young people from three countries (Czech Republic, Poland, Slovakia). Self-reported data from an international sample of 11,521 students aged 13–15 years participating in the Health Behaviour in School-aged Children Study (HBSC) in the year 2018 were included in the analyses. The level of HL shows a strong positive relationship with family wealth, and a significant relationship is maintained in all studied countries. Both social and structural features of neighbourhoods turned out to have an impact on students’ HL. However, HL is most clearly explained by the school environment. This study confirms the school effect on higher levels of HL competences in adolescents. This indicates the need to invest in schools located in less affluent areas to generally improve the level of education, implement modern health education combined with HL, and strengthen the social and health competencies of students.

This study assessed the physical activity (PA) levels and its variability across days, months and seasons of two groups of high school pupils: those who did and those who did not participate in regular organized after-school physical activity (ASPA). Thirteen pupils wore pedometers continuously for one school-year, logged their step counts into record sheets and were then interviewed for information as regards their participation in any ASPA. Repeated measures analysis of variance showed that regardless of the day, month and season, ASPA pupils achieved significantly more mean step counts/day than the non-ASPA pupils. There were no significant fluctuations across months and seasons in PA levels of ASPA pupils when compared to non-ASPA pupils. We conclude that regular organised ASPA might increase the pupils’ total PA levels; and could help to maintain a relatively constant PA level for adolescents across the whole school-year regardless of the influences of a range of weather and meteorological indicators that are related to months/seasons.

The pedometer is a widely used research tool for measuring the level and extent of physical activity (PA) within population subgroups. The sample used in this study was drawn from a population of university students to examine the influence of the monitoring interval and alternate starting days on step-count activity patterns. The study was part of a national project during 2008–2010. Eligible subjects (641) were selected from a sample of 906 university students. The students wore pedometers continuously for 7 days excluding time for sleep and personal hygiene. Steps per day were logged on record sheets by each student. Data gathering spanned an entire week, and the results were sorted by alternate starting days, by activity for an entire week, by activity for only the weekdays of the one-week monitoring interval and for the two-day weekend. The statistical analysis included ANOVA, intra-class correlation (ICC) analysis, and regression analysis. The ICC analysis suggested that monitoring starting on Monday (ICC = 0.71; 95%CI (0.61–0.79)), Tuesday (ICC = 0.67; 95%CI (0.59–0.75)) or Thursday (ICC = 0.68; 95%CI (0.55–0.79)) improved reliability. The results of regression analysis also indicated that any starting day except Sunday is satisfactory as long as a minimum of four days of monitoring are used.

Purpose: Previous research has shown that physical activity (PA) is determined by several variables, such as gender, social economic condition (SES) and place of residence. The main purpose of this study was to study the association between education and PA of the Czech adult population as well as discovering any other socio-demographic factors that may influence PA.Methods: A population-based survey conducted in 2008 resulted in 6,989 International Physical Activity Questionnaires (short version) from Czech adults aged 26-69 years. This survey included all regions in the Czech Republic. The data were analysed using frequencies and binomial logistic regression separately for gender and education level. The dependent variables were classified as either the "healthy minimum" and "health promotion" according to the amount of PA criteria the individuals met.Results: People with a university education had less PA than other groups of different education levels. The "health promotion" category was met by 9.9% of women and 6.5% of men with elementary education, 67.4% of women and 71.3% of men with a secondary education, and 22.7% of women and 22.2% of men with a university education. The "health promotion" category is also more likely to be met by males (OR 1.33, CI 1.20-1.48, p < 0.001), people with elementary (OR 1.67, CI 1.36-2.06, p < 0.001) and secondary education (OR 1.60, CI 1.42-1.80, p < 0.001), those living with a family with children (OR 1.49, CI 1.07-1.53, p < 0.001), living in villages (OR 1.35, CI 1.14-1.60, p < 0.001) or small towns (OR 1.27, CI 1.10-1.61, p < 0.001), those who have a dog (OR 1.15, CI 1.04-1.27, p < 0.05), and those who participate in organized PA (OR 1.30, CI 1.17-1.44, p < 0.001).Conclusions: There was a surprising low amount of PA among those who studied at a university. Programs that promote PA among university students and future graduates should be considered.