Michal Vorlíček

Online mapping could simplify the collection of adolescents’ school travel routes, but its spatial agreement with recorded travel needs to be established. We assessed the spatial agreement between usual school routes drawn by adolescents in INDARES (International Database for Research and Educational Support) and subsequently recorded Global Positioning System (GPS) routes. The study involved 112 adolescents aged 12–18 years from two schools in Olomouc, Czech Republic. Paired route data were available for analysis in 58 participants (40 girls). Adolescents drew their usual home-to-school route on a Google Maps background under researcher supervision before wearing a Holux RCV-3000 GPS logger for seven days. Spatial agreement was defined as the percentage of each drawn route within a 50 m buffer around the retained GPS linework of the same participant. Mean drawn route length was 7.80 km (standard deviation [SD] 6.44), and 39 routes (67.2%) involved both active and passive transport. Mean spatial agreement was 80.98% (SD 25.53%; 95% bootstrap confidence interval [CI] 74.21–87.13%), with a median of 92.11% (interquartile range 75.69–97.74%). Agreement was at least 80% in 42 participants (72.4%) and below 50% in nine (15.5%). The high median agreement supports the potential of supervised online mapping for assessing usual school routes in adolescents. Individual discrepancies and uncertainty in the selected, processed GPS reference limit conclusions about interchangeability with GPS. Lower collection costs and workload are plausible advantages that require direct evaluation.

Background: Improving physical activity (PA) and lifestyle among schoolchildren has long been a priority in health policy; however, the outcomes of these global efforts remain unsatisfactory. One key prerequisite for achieving positive change is improving the professional training of physical education (PE) teachers. The study aimed to examine changes in PE teacher training focused on monitoring students' own PA, to compare these findings with evidence from PA research among schoolchildren, and support the development of health and physical literacy in future PE teachers. Methods: The study was conducted within the professional training of PE students from 2011 to 2022. A total of 472 men and 487 women participated in PA monitoring. Daily step counts were assessed using Yamax Digiwalker pedometers and Garmin Vívofit smart bands. Weekly PA, PA motivation, PA preferences, and well-being were assessed using the IPAQ–Long Form, motivation and preference questionnaires, and the WHO-5 Well-Being Index. Results: Participants were able to compare their PA monitoring results with the status and trends in PA among children and adolescents. Similar patterns were analyzed in gender differences, the structure of weekly PA, and the associations between PA, PA preferences, motivation for PA, and well-being. Participation in organized PA was associated with higher odds of meeting vigorous PA recommendations, increasing the likelihood of compliance by approximately 1.9 times. Conclusions: Integrating the verification of PA-related evidence through personal PA monitoring into the professional training of PE students creates favorable conditions for transferring PA knowledge into school practice. This approach may enhance support for PA, healthy lifestyles, and physical literacy among schoolchildren and school leadership.

Objectives: Active school transport (AST), such as walking or cycling to and from school, represents an important source of daily physical activity for adolescents. In recent decades, however, many high-income countries have reported a steady ...

Background: Family is important for the support and promotion of healthy movement behaviors of children. Therefore, the aim of this study was to identify parental characteristics that are associated with children’s adherence to the World Health Organization (WHO) guidelines on 24-hour movement behavior (24hMB), based on accelerometer data from the daily lives of both parents and their families. Methods: The 24-hour movement behavior (24hMB) of 217 family triads was continuously monitored over a 7-day period using ActiGraph accelerometers placed on the non-dominant wrist of each participant as part of the Czech FAMIPASS study. Children’s compliance with the WHO 24hMB guidelines (sleep, sedentary behavior, physical activity) was analyzed using backward logistic regression analysis separately for the daughter-mother-father and son-mother-father models. Results: Without significant gender differences, 25.2% _DAUGHTERS and 26.7% _SONS (or 71.7% _DAUGHTERS and 78.1% _SONS ) met all 3 (or a combination of ≥ 2) 24hMB guidelines, although the contributions of mothers and fathers differed. For daughters only, fathers’ overweight/obesity significantly reduced the chances of achieving the recommended amount of sedentary behavior/a combination of ≥ 2 24hMB guidelines ( p = 0.03/0.003). Mother’s overweight/obesity significantly reduced the odds ratio of meeting the recommended amount of sedentary behavior for both daughters/sons ( p = 0.04/0.002), achieving the recommended amount of moderate-to-vigorous physical activity in daughters ( p = 0.03), and meeting a combination of ≥ 2 24hMB guidelines in sons ( p = 0.03). Maternal university education significantly contributed to achieving the recommended sedentary behavior in both daughters/sons ( p = 0.03/0.02) and to fulfilling a combination of ≥ 2 24hMB guidelines in daughters ( p = 0.04). Conclusions: Mothers’ non-excessive body weight, higher level of education and meeting ≥ 2 WHO 24hMB recommendations, compared with those of fathers, are significantly associated with children’s adherence to the WHO 24hMB guidelines in two-parent households. It suggests that mothers play an important role in shaping the daily 24hMB that supports their children’s health.

Background: Adolescents' movement behaviours (MB) vary between schooldays and weekends, potentially impacting health‐related quality of life (HRQoL) and well‐being. This study aimed to identify transitions between 24‐h MB profiles on schooldays and weekends and examine their associations with HRQoL and well‐being.Methods: This is a cross‐sectional study of 1070 Czech adolescents (average age: 13.8 years and standard deviation: 2.2 years; 56% girls). Participants wore accelerometers for 7 consecutive days to assess physical activity (PA) of different intensities, sedentary behaviour (SB) and sleep. A subsample of 451 participants provided data on HRQoL, which was measured using the Paediatric Quality of Life Inventory, and 484 provided valid well‐being data measured with the 5‐item World Health Organisation Well‐Being Index. Latent transition analysis was used on the MB variables to identify transitions across MB profiles, and linear regression was used to examine associations between transitions and HRQoL or well‐being.Results: Four MB profiles were identified: Excellent (high PA, low SB and high sleep duration), Good (average MB values), Fair (below‐average PA and sleep, above‐average SB) and Poor (low PA and sleep, high SB). Most adolescents transitioned to less favourable profiles on weekends. Those remaining in the Excellent profile had higher HRQoL than those transitioning to less favourable profiles. Transitions to the Poor profile were associated with the lowest HRQoL and well‐being scores.Conclusion: This study underscores the dynamic nature of adolescents' MB and the importance of consistent, healthy routines. Interventions optimizing 24‐h MB throughout the week and especially on weekends may enhance adolescent HRQoL and well‐being, but further evidence from longitudinal and intervention studies is needed.Summary: We observed a contrast in 24‐h MB between schooldays and weekends: 29.7% of adolescents were in the Excellent on schooldays, but only 5.8% did so on weekends, while the prevalence of the Poor profile rose from 1.6% on schooldays to 27.7% on weekends. Adolescents who maintained the Excellent profile across the whole week recorded the highest scores for HRQoL and well‐being. Moving into the Poor profile on weekend was associated with about 9 points poorer HRQoL and 14 points lower well‐being, compared with peers who remained in the Excellent profile. Behaviour change strategies should target the entire week to preserve PA, reduce SB and protect sleep.

This study investigated the combined impact of family dynamics and school environments on physical activity levels in children aged 3–9 years across distinct segments of the school day. Conducted as part of the FAMIPASS project in the Czech Republic, the study collected data in 2022 and 2023 from 502 families affiliated with 36 preschools and primary schools. The device-based monitoring of movement behaviors in children and their parents was conducted over a one-week period using ActiGraph accelerometers, complemented by detailed family questionnaires. Regression analysis revealed that parental physical activity, BMI, and education level significantly influenced children's moderate-to-vigorous physical activity, with educated parents more likely to raise active children. Active transport to school emerged as a key factor associated with higher child activity levels specifically in the time segment before school. This research underscores the role of family and school as critical arenas for promoting health and physical activity. These insights highlight the need for integrated family-school strategies to foster healthy activity habits in children, thereby laying the groundwork for a more active generation.

The current negative trend in the physical behavior and lifestyle of the population therefore requires adequate changes in the professional training of physiotherapists. This study aimed to determine the structure and differences in the weekly physical activity (PA) of Czech physiotherapy students, the use of wearables in physiotherapy professional training, and the attitude of physiotherapy students toward PA and the use of wearables in physiotherapy practice. Between 2013 and 2022, 412 physiotherapy students participated in a PA-monitoring study using questonnaires International Physical Activity Questionnaire-long form, Motives for Physical Activity Measure-Revise, pedometers, Garmin Vívofit and Axivity AX3 accelerometers. A retrospective analysis of physiotherapy students PA drew attention to insufficient weekly PA and insufficient achievement of the PA recommendation of at least 60 min five times a week (55% of men and 41% of women). Instrumental PA monitoring allowed analyzing individual daily PA and structure of weekly PA. Highest PA indicated men (14,102 steps/day) and women (12,724 steps/day) of the 1st study year on Tuesday. The lowest PA (9,488 steps/day for men and 8,815 steps/day for women), were observed in the 4th study year on Sundays. The recommended target of 11,000 steps per day was achieved by 40% of the men and 46% of the women. Wearables enhanced participants PA motivation (51%). The inclusion of weekly PA monitoring in the professional training of physiotherapists ensured a deeper insight into the possibilities of PA monitoring in physiotherapy practice . Students are prepared to use wearables more widely to improve physical therapy practice.

Background: Childhood overweight and obesity are global health concerns associated with insufficient physical activity (PA), excessive sedentary behaviour (SB), and inadequate sleep. This study aimed to determine whether differences exist in 24 h movement behaviours between Czech non-overweight children and children with overweight/obesity aged 3–10 years, with respect to their gender, age, or family socioeconomic status (SES). Methods: A total of 381 children (49.9% girls), aged 3–10 years, participated. Their PA, SB, and sleep were continuously monitored over a regular week using wrist-worn accelerometers. Weight status was determined by BMI z-scores, according to World Health Organization standards. SES was assessed using the Family Affluence Scale. Results: Non-overweight children had averages of 414 min of PA, 472 min of SB, and 554 min of sleep per day, while children with overweight/obesity had averages of 392 min of PA, 503 min of SB, and 545 min of sleep. Non-overweight children engaged in significantly more PA (22 min per day; p = 0.014) and significantly less SB (31 min per day; p = 0.002) than children with overweight/obesity. No significant differences were found between the weight groups in gender distribution, age, family SES, or maternal and paternal obesity. Conclusions: Non-overweight children exhibited higher levels of PA and lower levels of SB compared to their counterparts with overweight/obesity, independent of gender, age, or family SES. These findings highlight an association between daily movement behaviours and weight status in young children. Further research is needed to explore the impact of modifying PA and SB on weight outcomes.

Parent–child patterns in objectively measured movement behaviours were the highlight of this study. A total of 381 families (337 mothers, 256 fathers, 190 daughters, and 191 sons) from 36 randomly selected schools and kindergartens provided valid accelerometer data. Sedentary behaviour and physical activity (PA) were assessed using ActiGraph accelerometers. Spearman’s rho was used to evaluate parent–child associations, while logistic regression analysis (the backward LR method) was used to recognize factors related to children’s achievement of PA recommendations. Results indicated that girls engaged more in light PA, while boys showed higher levels of moderate and vigorous PA. Mothers spent less time sitting and more time in light PA compared to fathers, resulting in higher total PA levels. Father–son pairs showed a stronger association in total PA than mother–son pairs. Children aged 6–10 years and those with mothers who engaged in more vigorous PA were more likely to meet PA recommendations compared to younger children and those with less active mothers.