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: Head tremor poses diagnostic problems, especially when present as an isolated or predominant symptom. OBJECTIVES: To assess how maneuvers activating upper limb postural tremor can help differentiate head tremor in essential tremor (ET) from dystonic tremor (DT) in cervical dystonia. METHODS: 48 patients with head tremor (25 ET, 23 DT), underwent clinical examination and accelerometric evaluation of head and upper limb tremor during routine tremor-inducing tasks. RESULTS: While accelerometric power and clinical scores of head tremor did not significantly differ between patient groups, task-induced variations revealed distinctions. ET patients exhibited increased head tremor power and clinical scores during forward outstretched and lateral wing-beating arm positions, unlike DT patients. Coherence between head and upper limb tremor remained consistent. Tremor stability index showed no significant differences. CONCLUSIONS: Task-induced changes in head tremor could aid in distinguishing between ET and DT. Further research is needed to refine diagnostic approaches for head tremor.

• MeSH
• Accelerometry instrumentation   methods   MeSH
• Diagnosis, Differential MeSH
• Adult MeSH
• Dystonia diagnosis   physiopathology   MeSH
• Essential Tremor * diagnosis   physiopathology   MeSH
• Head * physiopathology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Arm * physiopathology   MeSH
• Posture physiology   MeSH
• Aged MeSH
• Torticollis diagnosis   physiopathology   MeSH
• Tremor * diagnosis   physiopathology   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article 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

BACKGROUND: Type 2 diabetes and prediabetes represent significant global health challenges, with physical activity (PA) being essential for disease management and prevention. Despite the well-documented benefits, many individuals with (pre)diabetes remain insufficiently active. General practitioners (GP) provide an accessible platform for delivering interventions; however, integrating PA interventions into routine care is hindered by resource constraints. OBJECTIVES: The ENERGISED trial aims to address these barriers through an innovative GP-initiated mHealth intervention combining wearable technology and just-in-time adaptive interventions. METHODS: The ENERGISED trial is a pragmatic, 12-month, multicentre, randomised controlled trial, assessing a GP-initiated mHealth intervention to increase PA and reduce sedentary behaviour in patients with type 2 diabetes and prediabetes. The primary outcome is daily step count, assessed via wrist-worn accelerometry. The primary analysis follows the intention-to-treat principle, using mixed models for repeated measures. Missing data will be handled under the missing-at-random assumption, with sensitivity analyses exploring robustness through reference-based multiple imputation. The trial incorporates the estimand framework to provide transparent and structured treatment effect estimation. DISCUSSION: This statistical analysis plan outlines a robust approach to addressing participant non-adherence, protocol violations, and missing data. By adopting the estimand framework and pre-specified sensitivity analyses, the plan ensures methodological rigour while enhancing the interpretability and applicability of results. CONCLUSIONS: The ENERGISED trial leverages innovative mHealth strategies within primary care to promote PA in individuals with (pre)diabetes. The pre-specified statistical framework provides a comprehensive guide for analysing trial data and contributes to advancing best practices in behavioural intervention trials for public health. TRIAL REGISTRATION: ClinicalTrials.gov NCT05351359 . Registered on April 28, 2022.

• MeSH
• Accelerometry MeSH
• Exercise * MeSH
• Diabetes Mellitus, Type 2 * therapy   psychology   diagnosis   MeSH
• Fitness Trackers MeSH
• Humans MeSH
• Multicenter Studies as Topic MeSH
• Wearable Electronic Devices MeSH
• Pragmatic Clinical Trials as Topic MeSH
• General Practice * methods   MeSH
• Prediabetic State * therapy   psychology   diagnosis   MeSH
• Sedentary Behavior * MeSH
• Telemedicine * statistics & numerical data   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Clinical Trial Protocol 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

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

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

AIMS: Physical activity (PA) is an important target for improving clinical outcomes in heart failure (HF) patients. Nonetheless, assessing the daily PA profile in this population is a challenging task, traditionally performed using self-report questionnaires such as the International PA Questionnaire Short Form (IPAQ-SF). This study aimed to evaluate the concurrent validity of the IPAQ-SF and accelerometer-assessed PA using six published cut-points in patients with HF and reduced or mildly reduced ejection fraction. METHODS AND RESULTS: The concordance between the IPAQ-SF and a hip-worn accelerometer regarding daily time spent performing moderate to vigorous PA in bouts of at least 10 min was assessed in 53 participants for seven consecutive days using six different cut-points (Barnett, Dibben, Mark, Sanders, Troiano, and Vaha-Ypya). Spearman's correlation and Bland-Altman plots were used to evaluate concurrent validity between methods. Regressions were used to study the association between patient variables, wear protocol (waking hour or 24 h), and absolute bias. The kappa index was used to evaluate the concordance between IPAQ-SF and accelerometry for classifying patients as active or non-active. All analyses were re-run using non-bouted metrics to investigate the effect of bouted versus non-bouted analysis. The IPAQ-SF and accelerometry showed low to negligible correlation (ρ = 0.12 to 0.37), depending on the cut-point used. The regression analysis showed that the absolute bias was higher in participants following the waking-hour protocol at all cut-points except Dibben's (P ≤ 0.007). The concordance between the two methods to classify patients as active and non-active was low when using Mark (κ = 0.23) and Barnett (κ = 0.34) cut-points and poor for the remaining cut-points (κ = 0.03 to 0.18). The results of the sensitivity analysis showed negligible to low correlation using non-bouted metrics (ρ = 0.27 to 0.33). CONCLUSIONS: Moderate to vigorous PA measures using IPAQ-SF and accelerometers are not equivalent, and we do not encourage researchers to use IPAQ-SF alone when assessing PA in HF patients. Moreover, applying personalized collection and processing criteria is important when assessing PA in HF patients. We recommend following the 24 h protocol and selecting cut-points calibrated in patients with cardiovascular diseases. Finally, it is necessary to develop a new tailored questionnaire that considers walking intensity and is adjusted to the current World Health Organisation recommendations, which use non-bouted metrics.

• MeSH
• Accelerometry MeSH
• Exercise * MeSH
• Humans MeSH
• Surveys and Questionnaires MeSH
• Heart Failure * diagnosis   MeSH
• Self Report MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH