BACKGROUND: The distribution of time across physical activity, sedentary behaviors, and sleep appears to be essential for the management of obesity. However, the impact of reallocating time among these behaviors, collectively known as 24-h movement behaviors, remains underexplored. OBJECTIVE: This study examines the theoretical effects of reallocating time between 24-h movement behaviors on obesity indicators across different age groups. METHODS: We performed a pooled data meta-analysis of 9818 participants from 11 observational and experimental studies. To estimate the time spent in movement behaviors, we reprocessed and harmonized individual-level raw accelerometer-derived data. Isotemporal substitution models estimated theoretical changes in body mass index (BMI) and waist circumference (WC) associated with time reallocation between movement behaviors. We performed the analysis separately for children, adolescents, adults, and older adults. RESULTS: Even minor reallocations of 10 min led to significant changes in obesity indicators, with pronounced effects observed when 30 min were reallocated. The most substantial adverse effects on BMI and WC occurred when moderate-to-vigorous physical activity (MVPA) was reallocated to other movement behaviors. For 30-min reallocations, the largest increase in BMI (or BMI z-score for children) occurred when MVPA was reallocated to light-intensity physical activity (LPA) in children (0.26 units, 95% confidence interval [CI] 0.15, 0.37) and to sedentary behavior (SB) in adults (0.72 kg/m2, 95% CI 0.47, 0.96) and older adults (0.73 kg/m2, 95% CI 0.59, 0.87). The largest increase in WC was observed when MVPA was substituted with LPA in adults (2.66 cm, 95% CI 1.42, 3.90) and with SB in older adults (2.43 cm, 95% CI 2.07, 2.79). Conversely, the highest magnitude of the decrease in obesity indicators was observed when SB was substituted with MVPA. Specifically, substituting 30 min of SB with MVPA was associated with a decrease in BMI z-score by - 0.15 units (95% CI - 0.21, - 0.10) in children and lower BMI by - 0.56 kg/m2 (95% CI - 0.74, - 0.39) in adults and by - 0.52 kg/m2 (95% CI - 0.61, - 0.43) in older adults. Reallocating time away from sleep and LPA showed several significant changes but lacked a consistent pattern. While the predicted changes in obesity indicators were generally consistent across age groups, inconsistent findings were observed in adolescents, particularly for reallocations between MVPA and other behaviors. CONCLUSIONS: This investigation emphasizes the crucial role of MVPA in mitigating obesity risk across the lifespan, and the benefit of substituting SB with low-intensity movement behaviors. The distinct patterns observed in adolescents suggest a need for age-specific lifestyle interventions to effectively address obesity. Emphasizing manageable shifts, such as 10-min reallocations, could have significant public health implications, promoting sustainable lifestyle changes that accommodate individuals with diverse needs, including those with severe obesity.

• MeSH
• Accelerometry MeSH
• Time Factors MeSH
• Exercise * MeSH
• Child MeSH
• Adult MeSH
• Body Mass Index MeSH
• Obesity Management * methods   MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Obesity * MeSH
• Waist Circumference MeSH
• Sedentary Behavior * MeSH
• Aged MeSH
• Sleep MeSH
• Check Tag
• Child MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Aged MeSH
• Publication type
• Journal Article MeSH
• Meta-Analysis MeSH

OBJECTIVES: The efficacy and safety of macitentan, an endothelin receptor antagonist, were assessed in a 52-week, prospective, multicenter, double-blind, randomized, placebo-controlled, parallel-group study assessing the efficacy and safety of macitentan in Fontan-palliated adult and adolescent patients (RUBATO-DB) and an open-label extension trial (RUBATO-OL). METHODS: Patients aged 12 years and older with New York Heart Association functional class II or III underwent total cavopulmonary connection more than 1 year before screening and showed no signs of Fontan failure/clinical deterioration. In RUBATO-DB, the primary efficacy end point was change in peak oxygen consumption from baseline to week 16; secondary end points were change from baseline over 52 weeks in peak oxygen consumption and change in mean count/minute of daily physical activity via accelerometer from baseline to week 16. Safety was assessed throughout both studies. RESULTS: In RUBATO-DB, 137 patients were randomized to macitentan 10 mg (n = 68) or placebo (n = 69); 92.7% completed 52-week double-blind treatment. At week 16, mean ± SD change in peak oxygen consumption was -0.16 ± 2.86 versus -0.67 ± 2.66 mL/kg/minute with macitentan versus placebo (median unbiased treatment difference estimate, 0.62 mL/kg/minute [99% repeated CI, -0.62 to 1.85]; P = .19). No treatment effect was observed in either of the secondary end points. During RUBATO-DB, most common adverse events with macitentan were headache, nasopharyngitis, and pyrexia. Across RUBATO-DB and RUBATO-OL, most common adverse events were COVID-19, headache, and fatigue. RUBATO-OL was prematurely discontinued because RUBATO-DB did not meet its primary or secondary end point. CONCLUSIONS: The primary end point of RUBATO-DB was not met; macitentan did not improve exercise capacity versus placebo in patients with Fontan palliation. Macitentan was generally well tolerated over long-term treatment.

• MeSH
• Endothelin Receptor Antagonists therapeutic use   adverse effects   MeSH
• Time Factors MeSH
• Child MeSH
• Adult MeSH
• Double-Blind Method MeSH
• Fontan Procedure * adverse effects   MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Palliative Care MeSH
• Prospective Studies MeSH
• Pyrimidines * therapeutic use   adverse effects   MeSH
• Oxygen Consumption drug effects   MeSH
• Sulfonamides * therapeutic use   adverse effects   MeSH
• Exercise Tolerance drug effects   MeSH
• Heart Defects, Congenital surgery   physiopathology   MeSH
• Treatment Outcome MeSH
• Check Tag
• Child MeSH
• Adult MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Clinical Trial, Phase III MeSH
• Multicenter Study MeSH
• Randomized Controlled Trial MeSH

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.

• MeSH
• Accelerometry MeSH
• Time Factors MeSH
• Adolescent Behavior * psychology   physiology   MeSH
• Exercise * psychology   physiology   MeSH
• Quality of Life * psychology   MeSH
• Humans MeSH
• Adolescent MeSH
• Cross-Sectional Studies MeSH
• Sedentary Behavior MeSH
• Sleep physiology   MeSH
• Check Tag
• Humans MeSH
• Adolescent MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

BACKGROUND: The development of child's lifestyle occurs within regular 24-hour movement patterns under the guidance of parents. Accelerometer-based monitoring allows for the capture of these 24-hour movement patterns of behaviour. Therefore, the aim of this study was to reveal whether active participation in organised physical activity (OPA) contributed to the achievement of the World Health Organization's (WHO) 24-hour movement behaviour guidelines (24-hMBGS) among 3-10-year-old children, considering the influence of parents' movement behaviour and families' material background. METHODS: The 24-hour movement behaviour (24-hMB) of 348 child-parent pairs (with at least one parent) was continuously monitored for 7 days via ActiGraph accelerometers placed on the non-dominant wrist. Children's adherence to the WHO's 24-hMBGS was analysed using logistic regression analysis. The socioeconomic status (SES) of families was measured using the Family Affluence Scale. Body mass level was determined according to body mass index gender- and age-specific WHO reference data. Univariate analysis of variance/Pearson's chi-square test was used to test differences in sedentary behaviour duration/excess body weight between active participants and non-participants in OPA. RESULTS: Active 3-10-year-old participants in OPA, compared to non-participants, were significantly more likely to meet at least two of the 24-hMBGS (77.7% vs. 66.4%, p = 0.008), had significantly shorter daily sedentary time (by 30 min per day, p = 0.001), and a significantly lower prevalence of excessive body weight (10.26% vs. 24.87% p < 0.001). Engaging in OPA significantly (p < 0.01) helped 3-10-year-old children achieve at least two of the 24-hMBGS, regardless of their gender, age, excess body weight, or family SES. In addition, a mother's non-excessive body weight and achievement of at least two of the WHO's 24-hMBGS significantly (p < 0.05) contributed to children attaining at least two of the WHO's 24-hMBGS. CONCLUSIONS: Even in young children, active participation in OPA tend to contribute to a healthier lifestyle profile, characterised by shorter sedentary behaviour and lower excess body weight, with a significant influence from the mother's movement behaviour.

• MeSH
• Accelerometry MeSH
• Exercise * MeSH
• Child MeSH
• Humans MeSH
• Child, Preschool MeSH
• Parents MeSH
• Sedentary Behavior * MeSH
• Guidelines as Topic * MeSH
• Sleep MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Male MeSH
• Child, Preschool MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Cíl: Cílem longitudinální studie bude zjistit rozdíly v 24hodinovém pohybovém chování (24hMB) (tj. spánku, sedavém chování (SB) a pohybové aktivitě (PA)) u českých dětí po jejich přestupu z mateřské do základní školy (ZŠ) (resp. z první/druhé třídy ZŠ do vyšších ročníků ZŠ) s ohledem na socioekonomické zázemí rodin, výskyt nadměrné tělesné hmotnosti účastníků či účasti v organizované PA. Metodika: 24hMB bude monitorováno po dobu 7 dnů pomocí akcelerometrů ActiGraph u rodin z městských a venkovských obcí z regionů Čech, Moravy a Slezska, jejichž členové dokončili první etapu výzkumu v období března 2022 až května 2023. Celkem 260 rodin, které dokončily první etapu výzkumu, poskytlo v rodinném deníku kontaktní údaje a nevyloučilo možnost pokračovat ve výzkumu ve druhé etapě v roce 2025/2026. Rodinný deník bude kromě informací o každodenním času uléhání/vstávání, době trávené před obrazovkou/monitorem/displejem obsahovat i informace o účasti v organizované PA, antropometrická data a údaje o rodinném zázemí. Výsledky: Z první etapy výzkumu vyplynulo, že celkem 25,9 % dívek a 26,7 % chlapců splnilo všechna tři doporučení ke spánku, PA a SB současně a dalších 44,7 % dívek a 46,1 % chlapců dosáhlo alespoň kombinaci dvou z těchto tří doporučení, bez rozdílů mezi pohlavím, věkovou kategorií nebo úrovní tělesné hmotnosti dětí. Nadměrná tělesná hmotnost matek významně (p < 0,05) snížila šanci dětí dosáhnout alespoň dvou ze tří doporučení, zatímco vysokoškolské vzdělání rodičů a dodržování alespoň dvou ze tří doporučení matkami významně (p < 0,05) zvýšilo pravděpodobnost, že také děti doporučení dodrží. Účast dětí v organizované PA významně (p < 0,05) zvyšuje jejich šanci na dosažení alespoň dvou ze tří doporučení k 24hMB. Závěry: První etapa longitudinálního výzkumu poukázala na stěžejní rodinné faktory (úroveň vzdělání rodičů, matčina úroveň tělesné hmotnosti a míra dosažení doporučení k 24hMB, podpora aktivní účasti dětí v organizované PA) zvyšující šanci dětí ke splnění zdravotních doporučení pro 24hMB.

Objective: The aim of this longitudinal study will be to investigate the differences in 24-hour movement behaviour (24hMB) (i.e., sleep, sedentary behaviour (SB) and physical activity (PA)) in Czech children after their transition from kindergarten to primary school (or from first/second grade to upper grades of primary school) with respect to the socioeconomic background of families, the prevalence of overweight participants or participation in organised PA. Methods: 24hMB will be monitored for seven days using ActiGraph accelerometers in families from urban and rural areas in the Bohemia, Moravia and Silesia regions, whose members completed the first phase of the study between March 2022 and May 2023. The 260 families who finished the first phase of the research provided their contact details in the family diary and have not ruled out the possibility of participating in the second phase in 2025/2026. The family diary will include information on daily bedtime and wake-up times, screen time, and participation in organised PA, as well as anthropometric data and family background information. Results: The findings from the first phase of the research showed that a total of 25.9% of girls and 26.7% of boys met all three guidelines on sleep, PA and SB simultaneously, and 44.7% of girls and 46.1% of boys achieved at least a combination of two of the three guidelines. No differences were observed between gender, age, or body weight levels of the children. Maternal excess body weight significantly (p < 0.05) decreased the odds of children achieving at least two of the three guidelines, whereas parental higher education and maternal adherence to at least two of the three guidelines significantly (p < 0.05) increased the odds that children also complied with the guidelines. Children’s participation in organised PA significantly (p < 0.05) increased their chances of achieving at least two of the three 24hMB guidelines. Conclusions: The first phase of the longitudinal research highlighted key family factors (parental education level, mother’s body weight, adherence to 24hMB guidelines, and support for children’s active participation in organised PA) that increase children’s chances of meeting guidelines for 24hMB.

• Keywords
• studie FAMIPASS,
• MeSH
• Accelerometry MeSH
• Child MeSH
• Humans MeSH
• Longitudinal Studies MeSH
• Adolescent MeSH
• Motor Activity * MeSH
• Child, Preschool MeSH
• Sedentary Behavior * MeSH
• Sleep MeSH
• Parent-Child Relations MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Adolescent MeSH
• Male MeSH
• Child, Preschool MeSH
• Female MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• Czech Republic MeSH

Human movement behaviour typically unfolds in 24-h cycles, with children being additionally influenced by their parents. Therefore, the aim of this study was to investigate the adherence of 3-10-year-old children to the World Health Organization's (WHO) 24-h movement behaviour guidelines in relation to the behaviours of their mothers/fathers. Data from the Czech cross-sectional FAMIly Physical Activity, Sedentary behaviour and Sleep study included 381 families (with at least one child aged 3-10 years) from urban and rural areas across all three regions of Czechia. Twenty four-hour movement behaviour (sleep, sedentary behaviour, and physical activity) was monitored using ActiGraph accelerometers placed on the non-dominant wrists of children and their parents for seven consecutive days. Children's adherence to the WHO guidelines was analysed using logistic regression analysis. 25.9% of girls and 26.7% of boys simultaneously met all three 24-h movement behaviour guidelines (sleep + sedentary + physical activity), and 44.7% of girls and 46.1% of boys met any combination of two of the three guidelines, regardless of the children's gender, weight, or calendar age. Maternal overweight/obesity significantly (P = .05) decreased the odds of children achieving at least two of the three guidelines, while parental university education and maternal adherence to at least two of the three guidelines significantly (P = .05) increased the odds of children complying with these guidelines. Parents, especially mothers, play an important role in influencing their children in meeting 24-h movement behaviour guidelines and in shaping a healthy lifestyle.

• MeSH
• Exercise * MeSH
• Child MeSH
• Guideline Adherence * statistics & numerical data   MeSH
• Adult MeSH
• Humans MeSH
• Mothers MeSH
• Child, Preschool MeSH
• Cross-Sectional Studies MeSH
• Parents * psychology   MeSH
• Sedentary Behavior * MeSH
• Sleep * MeSH
• Check Tag
• Child MeSH
• Adult MeSH
• Humans MeSH
• Male MeSH
• Child, Preschool MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

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.

• Publication type
• Journal Article MeSH

BACKGROUND: The current negative trend in the physical behavior and lifestyle of the population therefore requires adequate changes in the professional training of physiotherapists. OBJECTIVES: 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. METHODS: 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. RESULTS: 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%). CONCLUSIONS: 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.

• MeSH
• Exercise * physiology   MeSH
• Adult MeSH
• Physical Therapists * education   MeSH
• Humans MeSH
• Young Adult MeSH
• Motivation MeSH
• Attitude of Health Personnel MeSH
• Surveys and Questionnaires MeSH
• Retrospective Studies MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

INTRODUCTION: Obesity in older adults is linked to various chronic conditions and decreased quality of life. Traditional physical activity guidelines often overlook the specific postures and movements that older adults engage in daily. This study aims to explore the compositional associations between posture-specific behaviours and obesity risk in younger (M = 67.35 ± 2.03 years) and older (M = 75.73 ± 4.17 years) groups of older adults and investigate the differences in body mass index (BMI) associated with replacing time spent in lying, sitting and standing with moving or walking. METHODS: This cross-sectional study involved 309 older adults aged 65 and above from Czech Republic. Participants' movement behaviours, including lying, sitting, standing, moving, and walking, were measured using accelerometers. The data were analysed using compositional data analysis (CoDA) and isotemporal substitution models to assess the impact of reallocating time between different activities on self-reported (BMI). RESULTS: The younger group engaged in more overall movement (193.84 min/day vs. 172.41 min/day) and walking (92.15 min/day vs. 76.62 min/day) than the older group. Significant estimated increases in BMI were associated with reallocating 30 min from movement to lying, sitting, or standing (up to + 3.31 kg/m2), while reallocating the same amount of time from lying, sitting, or standing to movement was associated with estimated reductions in BMI (up to - 2.54 kg/m2). In the older group, reallocating time from slow walking to lying or sitting was associated with estimated increases in BMI (up to + 1.86 kg/m2), while increasing time spent slow walking at the expense of lying or sitting theoretically reduced BMI (up to - 0.95 kg/m2). CONCLUSIONS: The findings suggest that promoting movement and walking, including both slow and fast walking, may play a role in managing obesity risk in older adults. This study highlights the potential benefits of reducing sedentary time and encouraging low-intensity physical activity tailored to the capabilities of seniors, especially those aged 70+, as a possible strategy to mitigate obesity risk. However, further longitudinal studies are needed to confirm these associations and explore causal relationships.

• MeSH
• Accelerometry methods   MeSH
• Walking * physiology   MeSH
• Body Mass Index MeSH
• Humans MeSH
• Obesity * epidemiology   physiopathology   MeSH
• Posture physiology   MeSH
• Sitting Position * MeSH
• Cross-Sectional Studies MeSH
• Risk Factors MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Standing Position * MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

BACKGROUND: Understanding environmental correlates of sedentary behaviour (SB) among young people is important as such data can identify approaches to limit sedentary time. This paper estimates associations of parent-reported neighbourhood and adolescent-reported home environments with SB among adolescents aged 11-19 years from 14 countries. METHODS: In the International Physical activity and the Environment Network (IPEN) Adolescent Study (an observational, cross-sectional multi-country study), adolescents wore a triaxial accelerometer for seven days that assessed sedentary time (ST). Adolescents completed survey measures of sedentary behaviour (SB) related to recreational screen time and sitting time in motor vehicles. Parents and adolescents completed surveys assessing neighbourhood and home environments. Accelerometer based ST was available in 3,982 adolescents while survey data were available for 6,302 dyads. We estimated the total and direct effects of each environmental attribute on ST and SB. Sex of the adolescent and city/country were examined as moderators. RESULTS: The average ST in adolescents from 14 countries ranged from 7.8 to 10.5 h/day. Personal social media was the only significant correlate of total ST across both sexes. With respect to self-reported SB, adolescents accumulated an average of 3.8 h of non-school screen time per day and nearly 40 min of transport-related sitting time. Screen time was associated with all home environment variables, including social media account, as well as land use mix-diversity, traffic safety, and crime safety. Transport-related sitting time was related to land use mix-diversity, recreation facilities, walking facilities, and pedestrian infrastructure, but no home environment variables. City/country and sex were significant moderators of several associations. CONCLUSIONS: Both home and neighbourhood environment features were related to ST and SB. Having social media accounts emerged as a major contributor towards sedentarism in adolescents.

• MeSH
• Accelerometry MeSH
• Screen Time MeSH
• Residence Characteristics * MeSH
• Adolescent Behavior MeSH
• Exercise MeSH
• Child MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Cross-Sectional Studies MeSH
• Surveys and Questionnaires MeSH
• Parents MeSH
• Sedentary Behavior * MeSH
• Social Media MeSH
• Environment Design MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Observational Study MeSH