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

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

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

BACKGROUND: Despite extensive research on physical activity behaviour (PAB), consensus is lacking on related terms and definitions, thereby hindering the ability to compare findings between studies and to develop reliable assessment tools. This study therefore aimed to establish consensus on the definitions of key PAB determinants. METHODS: First, an international expert steering committee was established, comprising members of the European Cooperation in Science and Technology (COST) action "DEterminants of Physical ActivitieS in Settings" (DE-PASS). Recently published review-level studies were used to identify key determinants of PAB. Two independent reviewers systematically reviewed the literature to catalogue the range of definitions used for key determinants of PAB (steps 1-2). A two-round modified Delphi survey was conducted online from February to September 2023, to determine the optimal definition for each determinant. In round 1, experts selected the most suitable definition for each of the 41 initially identified determinants. In round 2, experts ranked the appropriateness of the definition selected from round 1 on a 5-point Likert scale. Consensus was defined a priori as ≥ 75% agreement on the definition (i.e., ratings of ≥ 4 points). A professional English language expert ensured concise, coherent wording and high-quality editing of the definitions (steps 3-6). RESULTS: Eighty-five experts in PAB research participated in round 1, and sixty-nine experts in round 2. Consensus of definitions was achieved for 39 of the 41 determinants (88.4%-98.6% agreement). The consensus threshold was not achieved for two determinants: genetic profile and regulation (69.6%) and backyard access/size (73.9%). CONCLUSIONS: The findings of this study offer a consensus-based set of definitions for 39 key determinants of PAB. These definitions can be used homogenously in academic research on physical activity.

• MeSH
• Exercise * MeSH
• Delphi Technique * MeSH
• Consensus * MeSH
• Humans MeSH
• Health Behavior MeSH
• Check Tag
• Humans MeSH
• 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

Cíl: Cílem studie je zjistit, zda existují rozdíly v 24hodinovém pohybovém chování, tj. spánku, sedavém chování (SB) a pohybové aktivitě (PA), u 3–8letých dívek a chlapců z rodin s odlišným socioekonomickým zázemím. Metodika: 24hodinové pohybové chování bylo kontinuálně monitorováno po dobu 7 dnů prostřednictvím akcelerometrů u rodin s 3–8letými dětmi z městských a venkovských obcí z regionů Čech, Moravy a Slezska. Socioekonomický status rodin (SES) byl zjišťován pomocí Škály rodinného blahobytu vyplňované rodiči na konci monitorování. Finálně analyzovaný soubor tvoří reprezentativní vzorek 363 rodin s dostupnými daty o 24hodinovém pohybovém chování a SES. Analýza rozptylu byla použitá pro identifikování rozdílů v pohybovém chování dětí s ohledem na jejich pohlaví a SES. Výsledky: Celková doba spánku (resp. hlubokého spánku), jako nejdelší složka z 24hodinového chování, trvala u dětí v rozmezí 9,05–9,32 (resp. 7,51–7,83) hodin denně bez statisticky významných rozdílů mezi dívkami a chlapci nebo dětmi s odlišným SES. V délce trvání každodenního SB (7,63–8,33 hodin), celkové PA (6,61–7,05 hodin) ani PA střední až vysoké intenzity (70–82 minut) nebyl nalezen statisticky významný rozdíl mezi dívkami a chlapci či dětmi s nízkým, středním a vysokým SES. Závěr: Socioekonomický status rodin ani pohlaví dítěte nejsou zdroji rozdílu v délce trvání celkového ani hlubokého spánku, SB či celkové PA 3–8letých dívek a chlapců z rodin s odlišným socioekonomickým zázemím.

Objective: The aim of this study is to investigate whether there are differences in 24-hour physical behaviours, i.e., sleep, sedentary behaviours (SB), and physical activity (PA), in 3–8-year-old girls and boys from families with different socioeconomic backgrounds. Methods: 24-hour movement behaviour was continuously monitored for seven days using accelerometers in families with 3–8-year-old children from urban and rural areas from the regions of Bohemia, Moravia and Silesia. Socioeconomic status (SES) of families was measured using the Family Affluence Scale completed by parents at the end of the monitoring. The final analysis set is a representative sample of 363 families with available data on 24-hour movement behaviour and SES. Analysis of variance was used to identify differences in children’s movement behaviour with respect to their gender and SES. Results: Total sleep time (or deep sleep), as the longest component of the 24-hour behavioural time, ranged from 9.05–9.32 (or 7.51–7.83) hours per day for children with no statistically significant differences between girls and boys or children with different SES. There was no statistically significant difference in the duration of daily SB (7.63–8.33 hours), total PA (6.61–7.05 hours) or moderate to high intensity PA (70–82 minutes) between girls and boys or children with low, moderate, and high SES. Conclusion: Neither the socioeconomic status of families nor the gender of the child are the sources of differences in the duration of total or deep sleep, SB or total PA of 3–8-year-old girls and boys from families with different socioeconomic backgrounds.

• MeSH
• Accelerometry methods   instrumentation   MeSH
• Child MeSH
• Humans MeSH
• Motor Activity * MeSH
• Observation MeSH
• Child, Preschool MeSH
• Surveys and Questionnaires MeSH
• Sedentary Behavior MeSH
• Socioeconomic Factors * MeSH
• Sleep MeSH
• Statistics as Topic MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Child, Preschool MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH

To understand the environmental determinants of physical activity (PA), precise spatial localization is crucial. This cross-sectional study focuses on the spatiotemporal distribution of PA among Czech adolescents (n = 171) using Global Positioning System loggers and accelerometers. The results showed that adolescents spent most of their time in sedentary behavior, with 57.2% and 58.5% of monitored time at home and school, respectively. The park and playground had the lowest proportion of sedentary behavior but also the lowest amount of moderate to vigorous PA (MVPA). However, when considering the time spent in each domain, the highest proportion of MVPA was seen in publicly accessible playgrounds (13.3% of the time). Chi-square analysis showed that the relative distribution of different PA intensities did not differ across spatial domains. Based on these results, the authors propose 2 key strategies for increasing MVPA in adolescents: Increase the time spent in activity-supportive environments, such as parks and playgrounds, and design techniques to increase MVPA at home and school settings.

• MeSH
• Accelerometry * MeSH
• Residence Characteristics MeSH
• Adolescent Behavior psychology   MeSH
• Exercise * MeSH
• Transportation methods   MeSH
• Geographic Information Systems * MeSH
• Play and Playthings MeSH
• Humans MeSH
• Adolescent MeSH
• Cross-Sectional Studies MeSH
• Sedentary Behavior * MeSH
• Schools MeSH
• Parks, Recreational MeSH
• Environment Design MeSH
• Check Tag
• Humans MeSH
• Adolescent MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

INTRODUCTION: The development of children's healthy and active lifestyles, including habit formation for optimal 24-hour movement behaviour, is associated with their family environment. A whole-family study collecting comprehensive data that can evaluate family lifestyle behaviours in different settings in depth has the potential to provide the evidence-based information needed for national guidelines, for designing interventions and for supporting policy-makers' decisions. METHODS AND ANALYSIS: The FAMIly Physical Activity, Sedentary behaviour and Sleep (FAMIPASS) study is a nationally representative cross-sectional study that will recruit 500 families (with at least 1 child aged between 3 and 8 years) from the urban and rural parts of all three regions of the Czech Republic. To examine the relationship between family environment and children's healthy development (eg, healthy weight) and children's active lifestyle behaviour, anthropometric measures, parents' health-related behaviour (including dietary habits, alcohol and tobacco use, screen time and bedtime rules and 24-hour movement behaviour), socioeconomic data and data about the characteristics of the home and neighbourhood will be collected from parents and children. The 24-hour movement behaviour (eg, sleep, sedentary behaviour and physical activity) will be monitored using wGT3X-BT and GT9X Link ActiGraph accelerometers placed on the non-dominant wrist of the children and their parents for 7 consecutive days. The accelerometers will be set up for each family separately, using the group proximity mode, allowing proximity tagging between devices and establishing the time spent together and parent-child coactivities. ETHICS AND DISSEMINATION: The overarching methodological protocol of the FAMIPASS project was approved by the Ethics Committee of the Faculty of Physical Culture, Palacký University Olomouc, Czech Republic (reference number: 25/2021). The results and findings will be reported to: (1) the participating families and (2) school representatives and will be (3) presented at national and international conferences and (4) disseminated via peer-reviewed publications.

• MeSH
• Exercise * MeSH
• Child MeSH
• Humans MeSH
• Child, Preschool MeSH
• Cross-Sectional Studies MeSH
• Sedentary Behavior * MeSH
• Sleep MeSH
• Life Style MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Child, Preschool MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH

Úvod: Stárnutí naší populace sebou přináší spoustu výzev, které se vztahují na mnoho odvětví ve společnosti. Čím dál tím více rezonuje důraz na zvýšení kvality života osob vyššího věku a udržení nejvyšší možné úrovně jejich nezávislosti. Jedním z velice slibných přístupů se jeví objektivně monitorovaná pravidelná pohybová aktivita, která je “šitá na míru“ právě této věkové skupině. Objektivní monitorování pohybové aktivity umožňuje nejenom získání validních dat o pohybové aktivitě, ale zároveň umožňuje odborníkům specifickou preskripci pohybové aktivity i odhalení potenciálních rizikových faktorů u věkově závislých zdravotních komplikací a tím facilitovat včasnou intervenci v prevenci chronických onemocnění. Cíl: Cílem práce bylo zhodnotit možnosti využití objektivního monitorovacího nástroje pro vyhodnocování pohybové aktivity v souvislosti s jednotlivými doménami kvality života u osob vyššího věku z Olomoucka. Metodika: Pilotní studie se zúčastnilo 15 probandek z Olomoucka. Pohybová aktivita byla subjektivně hodnocena pomocí dotazníku IPAQ a kvalita života dle dotazníku WHOQOL-BREF. Objektivní monitorování pohybové aktivity probíhalo pomocí akcelerometrů Axivity AX3 kontinuálně po dobu tří týdnů. Výsledky: Pilotní výzkum naznačil významnou shodu v reliabilitě výsledků subjektivního a objektivního hodnocení pohybové aktivity u osob vyššího věku. Statisticky významných rozdílů bylo dosaženo v psychické doméně WHOQOL-BREF při srovnání osob vyššího věku s mírnou a zdraví prospěšnou pohybovou aktivitou. Závěr: Intenzita pohybové aktivity přímo koreluje se subjektivním hodnocením kvality života u osob vyššího věku v doméně fyzické zdraví jak u osob s mírnou, tak i vysokou pohybovou aktivitou.

Adult survivors of childhood acute lymphoblastic leukemia (ASALL) compose a specific group that faces an increased risk of experiencing late effects of their earlier treatment. Physical activity (PA) may be one of the appropriate means for preventing or minimizing the late effects of treatment. The main purpose of this study is to characterize device-measured PA and sedentary behavior (SB) among ASALL. The specific objective was to compare the movement behavior with a group recruited from the healthy population and to determine the degree of compliance with health recommendations for PA in the adult population. Twenty ASALL and 21 healthy control group (CG) members participated in the study. Participants were between 18 and 30 years old. Movement behavior was assessed for seven days using an Axivity AX3 accelerometer and a 24-h wearing protocol. Movement behavior was characterized by the amount of time spent in SB, light PA (LPA), moderate PA (MPA), and vigorous PA (VPA). There were no significant differences in movement behavior or compliance with PA recommendations between the ASALL and CG. During the week, the ASALL accumulated 711 min per day of SB vs. 636 min per day in the CG (p = 0.26); the ASALL had 186 min per day of LPA vs. 201 min per day in the CG (p = 0.47); the ASALL had 132 min per day of MPA vs. 147 min per day in the CG (p = 0.25); and the ASALL had 5 min per day of VPA vs. 4 min per day in the CG (p = 0.48). All research participants (ASALL and CG) met the PA recommendations of > 150 min per week for moderate PA. The results of our study suggest that ASALL, even after suffering from that disease in childhood, display comparable levels of PA and SB to their healthy peers. Both groups met the health recommendations for PA. The device-based monitoring of PA and SB should be an integral part of monitoring the late effects of treatment.

• MeSH
• Accelerometry MeSH
• Precursor Cell Lymphoblastic Leukemia-Lymphoma * therapy   MeSH
• Exercise MeSH
• Adult MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Sedentary Behavior * MeSH
• Health Status MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH