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
• akcelerometrie MeSH
• čas strávený před obrazovkou MeSH
• charakteristiky bydlení * MeSH
• chování mladistvých MeSH
• cvičení MeSH
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• průřezové studie MeSH
• průzkumy a dotazníky MeSH
• rodiče MeSH
• sedavý životní styl * MeSH
• sociální média MeSH
• životní prostředí - projekt MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• multicentrická studie MeSH
• pozorovací studie MeSH

A sedentary lifestyle, characterised by a lack of physical activity, negatively influences Body Mass Index (BMI). BMI may be related to the prevalence of flat feet. This study aims to observe the occurrence of flat feet in young children and determine its association with BMI. Additionally, it aims to analyse foot loading in the forefoot, midfoot and rearfoot. Dynamographic records of children (N = 142; age = 10.3 ± 0.21 years) were collected during walking, and foot-type evaluations were conducted using a force plate. A normal foot type was observed in 44% of children (BMI 16.0 ± 2.3 kg/m2). Flat feet were observed in 54% of children (BMI 18.4 ± 4.3 kg/m2). A high foot arch was observed in only 2% of children (BMI 16.0 ± 1.3 kg/m2). Children with flat feet had higher BMI values than those with normal feet. The contact time and maximal vertical force in the forefoot and rearfoot were similar in children with normal and flat feet. Significantly higher pressure values were observed in the midfoot zone of children with flat feet. Regression analysis results showed that in children with flat feet, there is a decrease in forefoot loading and an increase in midfoot loading with increasing BMI. This trend was not observed in children with normal feet. We recommend incorporating exercise interventions at this age to prevent pain and promote willingness to engage in physical activity. Higher BMI values indicate an increased risk for the prevalence of flat feet.

• MeSH
• chůze fyziologie   MeSH
• dítě MeSH
• index tělesné hmotnosti * MeSH
• lidé MeSH
• noha (od hlezna dolů) fyziologie   anatomie a histologie   MeSH
• plochá noha * epidemiologie   MeSH
• sedavý životní styl MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články 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
• akcelerometrie metody   přístrojové vybavení   MeSH
• dítě MeSH
• lidé MeSH
• pohybová aktivita * MeSH
• pozorování MeSH
• předškolní dítě MeSH
• průzkumy a dotazníky MeSH
• sedavý životní styl MeSH
• socioekonomické faktory * MeSH
• spánek MeSH
• statistika jako téma MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• předškolní dítě MeSH
• Publikační typ
• práce podpořená grantem MeSH

BACKGROUND: Mobile Ecological Momentary Assessment (EMA) is increasingly used to gather intensive, longitudinal data on behavioral nutrition, physical activity and sedentary behavior and their underlying determinants. However, a relevant concern is the risk of non-random non-compliance with mobile EMA protocols, especially in older adults. This study aimed to examine older adults' compliance with mobile EMA in health behavior studies according to participant characteristics, and prompt timing, and to provide recommendations for future EMA research. METHODS: Data of four intensive longitudinal observational studies employing mobile EMA to understand health behavior, involving 271 community-dwelling older adults (M = 71.8 years, SD = 6.8; 52% female) in Flanders, were pooled. EMA questionnaires were prompted by a smartphone application during specific time slots or events. Data on compliance (i.e. information whether a participant answered at least one item following the prompt), time slot (morning, afternoon or evening) and day (week or weekend day) of each prompt were extracted from the EMA applications. Participant characteristics, including demographics, body mass index, and smartphone ownership, were collected via self-report. Descriptive statistics of compliance were computed, and logistic mixed models were run to examine inter- and intrapersonal variability in compliance. RESULTS: EMA compliance averaged 77.5%, varying from 70.0 to 86.1% across studies. Compliance differed among subgroups and throughout the day. Age was associated with lower compliance (OR = 0.96, 95%CI = 0.93-0.99), while marital/cohabiting status and smartphone ownership were associated with higher compliance (OR = 1.83, 95%CI = 1.21-2.77, and OR = 4.43, 95%CI = 2.22-8.83, respectively). Compliance was lower in the evening than in the morning (OR = 0.82, 95%CI = 0.69-0.97), indicating non-random patterns that could impact study validity. CONCLUSIONS: The findings of this study shed light on the complexities surrounding compliance with mobile EMA protocols among older adults in health behavior studies. Our analysis revealed that non-compliance within our pooled dataset was not completely random. This non-randomness could introduce bias into study findings, potentially compromising the validity of research findings. To address these challenges, we recommend adopting tailored approaches that take into account individual characteristics and temporal dynamics. Additionally, the utilization of Directed Acyclic Graphs, and advanced statistical techniques can help mitigate the impact of non-compliance on study validity.

• MeSH
• adherence pacienta * MeSH
• chytrý telefon MeSH
• cvičení * MeSH
• index tělesné hmotnosti MeSH
• lidé MeSH
• longitudinální studie MeSH
• mobilní aplikace MeSH
• okamžité posouzení v přirozeném prostředí * MeSH
• průzkumy a dotazníky MeSH
• sedavý životní styl MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• zdravé chování * MeSH
• zpráva o sobě MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

Exposures to social and environmental stressors arise individual behavioural response and thus indirectly affect cardiometabolic health. The aim of this study was to investigate several social and environmental stressors and the paths of their influence on cardiometabolic health. The data of 2154 participants (aged 25-64 years) from the cross-sectional population-based study were analysed. The composite score of metabolic disorders (MS score) was calculated based on 5 biomarkers: waist circumference, blood pressure, fasting blood glucose, HDL-cholesterol, triglycerides. The effects of social stressors (education level, income), environmental stressors (NO2, noise) and behavioural factors (unhealthy diet, smoking, alcohol consumption, sedentary behaviours) on MS score were assessed using a structural model. We observed a direct effect of education on MS score, as well as an indirect effect mediated via an unhealthy diet, smoking, and sedentary behaviours. We also observed a significant indirect effect of income via sedentary behaviours. The only environmental stressor predicting MS was noise, which also mediated the effect of education. In summary, the effect of social stressors on the development of cardiometabolic risk had a higher magnitude than the effect of the assessed environmental factors. Social stressors lead to an individual's unhealthy behaviour and might predispose individuals to higher levels of environmental stressors exposures.

• MeSH
• biologické markery krev   MeSH
• dospělí MeSH
• HDL-cholesterol krev   MeSH
• kardiovaskulární nemoci etiologie   epidemiologie   MeSH
• kouření škodlivé účinky   MeSH
• krevní glukóza metabolismus   MeSH
• krevní tlak MeSH
• lidé středního věku MeSH
• lidé MeSH
• metabolické nemoci etiologie   epidemiologie   MeSH
• obvod pasu MeSH
• průřezové studie MeSH
• psychický stres MeSH
• rizikové faktory MeSH
• sedavý životní styl * MeSH
• triglyceridy krev   MeSH
• vystavení vlivu životního prostředí škodlivé účinky   MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

OBJECTIVES: Growing evidence supports the important role of 24-hour movement behaviours (MB) in preventing childhood obesity. However, research to understand the heterogeneity and variability of MB among individuals and what kind of typologies of individuals are at risk of developing obesity is lacking. To bridge this gap, this study identified typologies of 24-hour MB in children and adolescents and investigated their associations with adiposity indicators. METHODS: In this cross-sectional study, 374 children and 317 adolescents from the Czech Republic wore wrist-worn accelerometers for seven consecutive days. Time spent in moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), sedentary behaviour (SB), and sleep was quantified using raw accelerometery data. Adiposity indicators included body mass index (BMI) z-score, fat mass percentage (FM%), fat mass index (FMI), and visceral adipose tissue (VAT). Bias-adjusted latent profile analysis was used on the 24-hour MB data to identify MB typologies and their associations with adiposity indicators. The models were adjusted for potential confounders. The identified typologies were labelled to reflect the behavioural profiles of bees to aid interpretability for the general public. RESULTS: Two typologies were identified in children: highly active Workers characterised by high levels of MVPA and LPA, and inactive Queens characterised by low levels of MVPA and LPA, high levels of SB and longer sleep duration compared to Workers. In adolescents, an additional typology labelled as Drones was characterised by median levels of MVPA, LPA, SB and longest sleep duration. After controlling for covariates, we found that children labelled as Queens were associated with 1.38 times higher FM%, 1.43 times higher FMI, and 1.67 times higher VAT than Workers. In adolescents, Drones had 1.14 times higher FM% and Queens had 1.36 higher VAT in comparison with Workers, respectively. CONCLUSION: Our study highlights the importance of promoting active lifestyles in children and adolescents to potentially reduce adiposity. These findings can provide insights for interventions aimed at promoting healthy MB and preventing childhood obesity.

• MeSH
• adipozita * fyziologie   MeSH
• akcelerometrie MeSH
• cvičení * MeSH
• dítě MeSH
• index tělesné hmotnosti MeSH
• lidé MeSH
• mladiství MeSH
• obezita dětí a dospívajících * epidemiologie   MeSH
• průřezové studie MeSH
• sedavý životní styl * MeSH
• spánek fyziologie   MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH

Assessing parent-child relationship in sleep behaviours is important for facilitating changes in the sleep guideline compliance in preschool age children. The aim of this study was to examine accelerometer-measured sleep quantity and quality in families with children aged 3-8 years and investigate the parents' influence on the child's sleep. The data were obtained from the Czech cross-sectional FAMIly Physical Activity, Sedentary behaviour and Sleep (FAMIPASS) study, with a final sample of 374 families. Families were recruited through the enrolment of their children in kindergartens/primary schools between March 2022 and May 2023. The sleep time window and total sleep time were assessed using a wrist-worn ActiGraph accelerometer. Participants wore this device continuously for 24 h/day over a period of 7 consecutive days. Demographic data and potential correlates were obtained via questionnaires completed by parents. Statistical analyses were completed using logistic regression and independent-samples Mann-Whitney U test. In all, 65.5% of children (60% boys, 70.9% girls) and 58.3% of parents (52.4% fathers, 64.3% mothers) achieved the recommended sleep duration. Greater sleep quantity and duration in good-quality sleep were significantly higher in girls/mothers, compared to boys/fathers. Preschoolers were more likely to comply with sleep guidelines if their mother (but not father) met the sleep recommendation and their mothers did not have a higher education level. Adhering to sleep guidelines in children was also associated with children's female gender, absence of screen device in the bedroom, and being more active. Given the high concurrence in mother-child sleep quantity, it is important to promote healthy sleep behaviours in the whole family.

• MeSH
• akcelerometrie * přístrojové vybavení   MeSH
• cvičení * MeSH
• dítě MeSH
• dodržování směrnic * statistika a číselné údaje   MeSH
• dospělí MeSH
• kvalita spánku MeSH
• lidé MeSH
• předškolní dítě MeSH
• průřezové studie MeSH
• průzkumy a dotazníky MeSH
• rodiče MeSH
• sedavý životní styl * MeSH
• spánek * fyziologie   MeSH
• vztahy mezi rodiči a dětmi * MeSH
• Check Tag
• dítě MeSH
• dospělí MeSH
• lidé MeSH
• mužské pohlaví MeSH
• předškolní dítě MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH

• MeSH
• dieta MeSH
• léčba obezity MeSH
• lidé MeSH
• obezita * etiologie   komplikace   prevence a kontrola   MeSH
• sedavý životní styl MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• rozhovory MeSH

BACKGROUND: The escalating global prevalence of type 2 diabetes and prediabetes presents a major public health challenge. Physical activity plays a critical role in managing (pre)diabetes; however, adherence to physical activity recommendations remains low. The ENERGISED trial was designed to address these challenges by integrating mHealth tools into the routine practice of general practitioners, aiming for a significant, scalable impact in (pre)diabetes patient care through increased physical activity and reduced sedentary behaviour. METHODS: The mHealth intervention for the ENERGISED trial was developed according to the mHealth development and evaluation framework, which includes the active participation of (pre)diabetes patients. This iterative process encompasses four sequential phases: (a) conceptualisation to identify key aspects of the intervention; (b) formative research including two focus groups with (pre)diabetes patients (n = 14) to tailor the intervention to the needs and preferences of the target population; (c) pre-testing using think-aloud patient interviews (n = 7) to optimise the intervention components; and (d) piloting (n = 10) to refine the intervention to its final form. RESULTS: The final intervention comprises six types of text messages, each embodying different behaviour change techniques. Some of the messages, such as those providing interim reviews of the patients' weekly step goal or feedback on their weekly performance, are delivered at fixed times of the week. Others are triggered just in time by specific physical behaviour events as detected by the Fitbit activity tracker: for example, prompts to increase walking pace are triggered after 5 min of continuous walking; and prompts to interrupt sitting following 30 min of uninterrupted sitting. For patients without a smartphone or reliable internet connection, the intervention is adapted to ensure inclusivity. Patients receive on average three to six messages per week for 12 months. During the first six months, the text messaging is supplemented with monthly phone counselling to enable personalisation of the intervention, assistance with technical issues, and enhancement of adherence. CONCLUSIONS: The participatory development of the ENERGISED mHealth intervention, incorporating just-in-time prompts, has the potential to significantly enhance the capacity of general practitioners for personalised behavioural counselling on physical activity in (pre)diabetes patients, with implications for broader applications in primary care.

• MeSH
• cvičení MeSH
• diabetes mellitus 2. typu * prevence a kontrola   epidemiologie   MeSH
• lidé MeSH
• mobilní telefon * MeSH
• praktické lékařství * MeSH
• prediabetes * terapie   MeSH
• sedavý životní styl MeSH
• telemedicína * metody   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články 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
• akcelerometrie * MeSH
• charakteristiky bydlení MeSH
• chování mladistvých psychologie   MeSH
• cvičení * MeSH
• doprava metody   MeSH
• geografické informační systémy * MeSH
• hra a hračky MeSH
• lidé MeSH
• mladiství MeSH
• průřezové studie MeSH
• sedavý životní styl * MeSH
• školy MeSH
• veřejné parky MeSH
• životní prostředí - projekt MeSH
• Check Tag
• lidé MeSH
• mladiství MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH