Journal of activity, sedentary and sleep behaviors最新文献

{"title":"Physical activity and sleep patterns in children attending after-school programs in Arizona: a cross-sectional study.","authors":"Umar Abubakar Hassan, Adewale Luqman Oyeyemi, Kylie Wilson, Pamela Hodges Kulinna, Allison Poulos","doi":"10.1186/s44167-025-00093-9","DOIUrl":"10.1186/s44167-025-00093-9","url":null,"abstract":"<p><strong>Background: </strong>Most children in the United States do not meet the recommended daily physical activity (PA) and sleep guidelines. This study described the contribution of after-school programs to children's daily moderate-to-vigorous PA (MVPA), the prevalence of meeting the U.S. MVPA guidelines (60 min daily), sleep duration (9-12 h daily), and sleep efficiency (≥ 85% daily) guidelines, and differences by gender, age, and school-level income.</p><p><strong>Methods: </strong>This cross-sectional study included 72 children (8-12 years, grades 3-6) attending after-school programs at 14 elementary schools in a public school district in Arizona. The children wore ActiGraph GT3X + accelerometers for at least three weekdays and one weekend day for 10 h/day to measure PA and sleep. The time spent in MVPA intensity was calculated during after-school programming, and overall MVPA and sleep were averaged across all daily hours. Fisher's exact test was used to examine differences in the prevalence of meeting MVPA and sleep guidelines.</p><p><strong>Results: </strong>After-school programs contributed an average of 35 min of daily MVPA among participants. Nearly all (99%) of the children met the PA guidelines, 40% met the sleep efficiency guidelines, and none met the sleep duration recommendations. No statistically significant differences were observed by age, gender, or school-level income (p > 0.05).</p><p><strong>Conclusions: </strong>Although after-school programs effectively support PA, adherence to sleep guidelines remains challenging. After-school programs alone may not be sufficient to improve sleep outcomes. Future studies should explore potential differences in sleep habits between days children attend and do not attend after-school programs.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13072515/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147647721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Longitudinal associations between 24-hour movement behaviours and cognitive function in adults aged 55 and above.","authors":"Pieter-Jan Marent, Greet Cardon, Genevieve Albouy, Jannique van Uffelen","doi":"10.1186/s44167-026-00100-7","DOIUrl":"10.1186/s44167-026-00100-7","url":null,"abstract":"<p><strong>Background: </strong>Age-related cognitive decline poses challenges to healthy ageing. Physical activity (PA), sedentary behaviour (SB) and sleep have been linked to cognition, yet much evidence is cross-sectional and fails to account for the interdependent nature of these 24-h movement behaviours. This observational study applied a compositional approach to investigate longitudinal associations between 24-h movement behaviours and cognition in cognitively healthy adults.</p><p><strong>Methods: </strong>Community-dwelling adults aged ≥ 55 years were assessed at three time points, each one year apart (baseline n = 233; 51.1% women; mean age 68.3 ± 7.7 years). Each time, 7-day wrist-worn accelerometery data (ActiGraph wGT3X-BT) were acquired and processed with GGIR to derive time spent in PA, SB and sleep. Additionally, cognition was measured using the Cambridge Neuropsychological Test Automated Battery (CANTAB), yielding composite z‑scores for short‑term memory (STM), long‑term memory (LTM), executive function (EF) and processing speed (PS). Linear mixed-effects models tested longitudinal associations between time-varying time-use composition (i.e. 24-h movement behaviours expressed as isometric log-ratios) and cognition. Time was modelled as a categorical variable and models included an interaction between time-use composition and time. Analyses were adjusted for sociodemographic and health covariates. Exploratory post‑hoc compositional isotemporal substitution analyses estimated cognitive differences associated with hypothetical time reallocations between behaviours at each time point.</p><p><strong>Results: </strong>No significant associations were observed between time-use composition and STM, LTM or PS. After adjusting for age, sex, educational level and living arrangement, EF was significantly associated with time-use composition (p = 0.005) and time (p < 0.001), with no significant interaction effect, suggesting a stable relationship over time. Exploratory post-hoc analyses suggested that moderate-to-vigorous PA (MVPA) was the primary driver of the EF association. Descriptive reallocation patterns at each time point indicated that reallocating time towards MVPA (e.g. from light PA) was generally associated with higher EF scores, whereas reallocations away from MVPA were associated with lower EF scores.</p><p><strong>Conclusions: </strong>In adults aged ≥ 55, 24‑h movement behaviours were associated with EF but not memory or PS, and these associations remained stable over time. Future research should examine longer follow-up periods, the (cognitive) context of behaviours and how changes in time-use composition relate to changes in cognition.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13188526/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147624485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"24-hour movement behaviors in association with academic performance in children and adolescents: cross-sectional compositional data analysis.","authors":"Heidi J Syväoja, Tuomas Kukko, Piritta Asunta, Harto Hakonen, Janne Kulmala, Marja-Kristiina Lerkkanen, Pekka Räsänen, Tuija H Tammelin","doi":"10.1186/s44167-026-00099-x","DOIUrl":"10.1186/s44167-026-00099-x","url":null,"abstract":"<p><strong>Background: </strong>While physical activity (PA), sedentary time (ST), and sleep each show individual associations with learning outcomes, their combined associations remain largely unexplored. This cross-sectional study examined the association between the 24-h movement behavior composition and arithmetic and reading fluency in children and adolescents, gender differences in these associations, and theoretical 30‑minute behavior‑change scenarios.</p><p><strong>Methods: </strong>Volunteered children (N = 253, mean age: 9.5 ± 0.4 years, 53% girls) and adolescents (N = 174, mean age: 13.7 ± 0.6 years, 63% girls) participated. Children's arithmetic fluency was measured using the FUNA test battery, and reading fluency with the Sentence Reading fluency test. Adolescents' arithmetic fluency was measured with the Basic Arithmetic Test, and reading fluency with the word reading task ALLU. Light PA, moderate PA, vigorous PA, and ST were measured using hip-worn accelerometers (ActiGraph GT3X +). Students recorded their sleep time. The associations were examined using compositional data analysis. The ratios of behaviors were predictors within linear mixed models, adjusted for age, gender, special educational needs, body fat percentage, and guardians' education.</p><p><strong>Results: </strong>The light PA relative to other behaviors was inversely associated with reading fluency (β = - 0.98, p = 0.014) among children. No other behaviors were associated with reading or arithmetic fluency in children or adolescents. Among adolescents, there was a significant interaction effect of gender and the time spent in ST on reading fluency (β = - 2,85, p = 0.037), but not on arithmetic fluency. Together, the interaction and main effects indicate that higher ST is linked to better reading fluency for both genders, with a stronger association in boys. Among adolescents, predicted 30‑minute reallocations from ST to sleep, or moderate PA, as well as from LPA to sleep, increased the difference in reading fluency between girls and boys.</p><p><strong>Conclusions: </strong>Lower levels of light-intense PA were linked to better children's reading fluency. The association between the 24-h activity composition and reading fluency among adolescents may differ between boys and girls. From a 24-h movement behavior perspective, supporting reading may require strategies that are tailored by age and gender.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13112822/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147618884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Moving beyond cancer: longitudinal changes in 24-hour movement behaviors and their association with quality of life in breast cancer survivors.","authors":"Iris Willems, Marieke De Craemer, Lore Dams, Elien Van der Gucht, Aaron Miatke, Mira Meeus, Nele Devoogdt, An De Groef","doi":"10.1186/s44167-026-00098-y","DOIUrl":"10.1186/s44167-026-00098-y","url":null,"abstract":"<p><strong>Background: </strong>Many breast cancer survivors experience persistent symptoms after treatment, impairing quality of life (QoL). At the same time, maintaining healthy levels of 24-hour movement behaviors (24h-MBs) i.e. engaging in 150 min of moderate-to-vigorous physical activity (PA) a week, several hours of light PA a day, limiting sedentary behavior during the day, and achieving restorative sleep, remains challenging. While these behaviors influence QoL individually, little is known about the combined impact of 24h-MBs in breast cancer survivorship. Therefore, this study aimed to 1) examine longitudinal changes in 24h-MBs across 1 week, 4 months, and 12 months post-surgery, 2) compare 24h-MBs of breast cancer survivors at 12-month post-surgery with healthy controls and 3) investigate associations between 24h-MBs and QoL in breast cancer survivors.</p><p><strong>Methods: </strong>The 24h-MBs were measured by a hip-worn Actigraph GT3X-BT + , and QoL by the McGill QoL questionnaire at 1 week, 4 months, and 12 months post-surgery. Compositional data analysis was used to account for the time-use interdependence of 24h-MBs. Multivariate linear mixed models assessed longitudinal changes in 24h-MBs, a MANOVA explored the group differences and regressions models examined associations between 24h-MBs and QoL at each timepoint.</p><p><strong>Results: </strong>Results from 184 breast cancer survivors (54 ± 15 y/o) showed that sedentary behavior decreased while light and moderate-to-vigorous PA increased over 12 months (p < 0.001). Compared to 135 healthy women (44 ± 10 y/o), breast cancer survivors at 12 months post-surgery showed 24h-MBs with more sleep (> 9h/night) and less low and moderate-to-vigorous PA (p < 0.001). At 4 months post-surgery, light PA (relatively against the other behaviors) was associated with a better overall QoL, whereas longer sleep duration (relatively against the other behaviors) was associated with a worse overall QoL and less perceived support. No significant associations were found at 1 week and 12 months post-surgery. However, at all three timepoints, the most commonly self-reported impairing symptoms related to their QoL were fatigue, insomnia and pain.</p><p><strong>Conclusion: </strong>Breast cancer survivors gradually improved their 24h-MBs in the first year after surgery, but their 24h-MB profiles remained less favorable than those of healthy controls. More optimal post-surgery 24h-MBs were associated with a better QoL, emphasizing their relevance for recovery.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13072473/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147373677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MOVE@NUS digital intervention cohort: protocol of a pilot study to promote healthy movement in university students.","authors":"Mingyue Chen, Madlene Movia, Xin Hui Chua, Sarah Yi Xuan Tan, Shenglin Zheng, Kaiyi Jin, Thitikorn Topothai, Natarajan Padmapriya, Falk Müller-Riemenschneider, Sarah Edney","doi":"10.1186/s44167-026-00097-z","DOIUrl":"10.1186/s44167-026-00097-z","url":null,"abstract":"<p><strong>Introduction: </strong>Due to academic pressures and irregular schedules, university students often face challenges in maintaining healthy movement behaviours (including sleep, physical activity, and screen time), which are interrelated and influence both physical and mental health. Smartwatch- and smartphone-based ecological momentary assessments (EMAs) and ecological momentary interventions (EMIs) offer real-time, context-aware strategies to promote movement behaviours. This pilot study aims to assess the feasibility and preliminary effectiveness of a hybrid approach that combines continuous digital monitoring of movement behaviours with sequentially embedded randomised controlled trials (RCTs) evaluating EMIs.</p><p><strong>Methods/design: </strong>MOVE@NUS pilot study employed a five-month hybrid design that combines continuous passive monitoring (primarily via Apple Watches, supplemented by iPhones) with three embedded RCTs targeting sleep (RCT-1), physical activity (RCT-2), and screen time (RCT-3). For each RCT, participants are randomised on a 1:1:1 schedule (control, intervention 1, intervention 2). Eligible participants are first-year undergraduates at the National University of Singapore, aged 18-25 years, who own or regularly use an iPhone and an Apple Watch. EMIs, delivered via the study app, comprise standard health messages or personalised reminders based on HealthKit data or participants' self-reported behaviours and preferences. Self-reported measures include eight EMA bursts (three-day periods every two weeks) and online questionnaires at baseline, midway (2.5 months), and endpoint (5 months). All EMIs and EMAs are text-based and can be completed in under two minutes. Feasibility outcomes include recruitment, engagement, and user experience assessed through quantitative surveys and semi-structured interviews. Preliminary effectiveness will be explored separately for each RCT, comparing movement behaviours between intervention and control groups.</p><p><strong>Discussion: </strong>Findings from this study will inform the development of scalable and longer-term digital intervention cohorts for promoting healthier lifestyles among university students. Furthermore, as university students soon transition to the workforce, insights gained will inform scalable digital health interventions for broader populations.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov ID NCT06597890 First Posted: 19 September 2024.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13005513/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146183710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bidirectional associations of recreational sedentary screen time and 24-h behaviors: a dynamic cross-sectional multilevel model analysis.","authors":"Kristina Hasanaj, Krista S Leonard, Dorothy D Sears, Fang Yu, Megan E Petrov, Sarah K Keadle, Matthew P Buman","doi":"10.1186/s44167-026-00096-0","DOIUrl":"10.1186/s44167-026-00096-0","url":null,"abstract":"<p><strong>Background: </strong>Recreational sedentary screen time (rSST) is the most prevalent form of discretionary sedentary behavior and is strongly linked to poor health outcomes. However, the relationship between time spent in rSST and other 24-h behaviors is not well understood. The purpose of this study was to examine between- and within-day associations between rSST and other 24-h behaviors that include other non-rSST sedentary time (other-SED), standing (STAND), light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), and total sleep (SLEEP).</p><p><strong>Methods: </strong>Baseline data from participants randomized to the StandUPTV study, an intervention aimed to reduce rSST in adults, were included. All 24-h behaviors were assessed continuously for 7-days. The activPAL device was used to assess rSST, other-SED, STAND, LPA, and MPVA; SLEEP was assessed using a GENEactiv accelerometer. rSST was collected using Wi-Fi plugs to capture TV time and tablet app usage. A multilevel modelling approach was used to assess bidirectional associations between rSST (total, daytime, evening) and 24-h behaviors at the between-person (across persons) and within-person (across days) levels, adjusting for age, sex, chronotype, education level, and week versus weekend day. The results were scaled hourly for interpretation.</p><p><strong>Results: </strong>On average, 8.0 ± 1.6 days of continuous daily 24-h behavior data were included from 94 participants (age [M ± SD: 42.3 ± 11.5] years; 82% female; 78% White; BMI [M ± SD: 29.8 ± 7.8] kg/m²). Greater total rSST was significantly associated with less other-SED (between-person b =  - 45.0, SE = 4.4, p < 0.01; within-person b =  - 44.5, SE = 2.0, p < 0.01). Similar results were observed when examining both daytime and evening rSST with other-SED. Negative associations were also observed between other-SED, STAND, LPA, and MVPA with rSST variables. No significant associations were observed between rSST variables and SLEEP.</p><p><strong>Conclusions: </strong>This is the first known analysis of the bidirectional relationship between rSST and 24-h behaviors. The negative association between rSST and other-SED suggests that rSST may displace rather than contribute to more cumulative sedentary time. These findings advocate that contexts of sedentary behavior should be considered as distinct behavioral targets in intervention development. Future interventions targeting rSST reduction should also include strategies to reduce total sedentary time.</p><p><strong>Clinical trials registration: </strong>NCT04464993.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12961888/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146099913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influence of different processing rules on wearable camera data estimates of habitual screen time in children.","authors":"Rosie F Jackson, Kim A Meredith-Jones, Jillian J Haszard, Barbara C Galland, Silke Morrison, Monica Jaques, Rachael W Taylor","doi":"10.1186/s44167-026-00095-1","DOIUrl":"10.1186/s44167-026-00095-1","url":null,"abstract":"<p><strong>Background: </strong>Although interest in objective screen time measurement is growing, questions remain regarding data processing. The aim of this study was to investigate how different image capture intervals and processing assumptions influence screen time estimates from wearable camera images.</p><p><strong>Methods: </strong>Screen time was measured using chest-worn Brinno TLC130 cameras which took static images every two seconds over four days in children participating in a crossover trial manipulating sleep. Images were coded for screen usage and only children with data from the same time block (before school, after school, weekends) during both intervention conditions were included. Analyses compared estimates of screen time using different intervals of image capture (2, 4, 6, 8, 10, 20, 30, 60 s) and processing rules (images with screens only, Rules 1 and 2 which allowed for blocked [device being used not visible in photos] images as long as the surrounding images were coded as screen time).</p><p><strong>Results: </strong>51 children (51% female, 14% indigenous Māori) had sufficient data (187 observations, 1.8 million images). Intervals of up to 60 s between images did not meaningfully influence total screen time estimates compared to 2 s, at the group level. At the individual level, a 10-s interval provided the optimal balance between reducing the number of images to code and accurate screen time estimates. Allowing blocked images between successive screen images to be coded as screen time increased screen time by a median of 8.8 (25th,75th percentiles: 4.4,14.9, Rule 1) to 59.8 (28.6,87.4, Rule 2) minutes.</p><p><strong>Conclusion: </strong>Researchers can confidently use up to 60 s intervals between images to measure total screen use in children at the group level, but shorter intervals are required for individual level data. Processing rules which allow blocked images to be coded as screens may influence average screen time estimates by up to 32%.</p><p><strong>Trial registration: </strong>Australian New Zealand Clinical Trials Registry ANZCTR ACTRN12618001671257, 10th Oct 2018.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":"3"},"PeriodicalIF":3.3,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12911048/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146044435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Movement patterns of youth and their parents: cross-sectional and longitudinal associations.","authors":"Johanna Hänggi, Gianfranco Lovison, Ayoung Jeong, Alain Dössegger, Wolfgang Taube, Bengt Kayser, Suzanne L Suggs, Bettina Bringolf-Isler, Nicole Probst-Hensch","doi":"10.1186/s44167-025-00092-w","DOIUrl":"10.1186/s44167-025-00092-w","url":null,"abstract":"<p><strong>Background: </strong>Establishing early physical activity (PA) habits is vital for long-term health, with parents considered as key influencers on children's PA. Yet, most previous parent-offspring dyads examining PA associations were cross-sectional, rarely used device-based measures, and often overlooked movement composition. The aim of this study was to determine whether mother's and father's waking movement composition is cross-sectionally or longitudinally associated with those of their children.</p><p><strong>Methods: </strong>The SOPHYA cohort recruited families from a nation-wide population-based random sample stratified by child's sex, birth year, and language. All youth aged 6-16 years and their parents officially residing in Switzerland, were eligible. Baseline and follow-up assessment occurred in 2013-2015 and 2019-2020, respectively. Questionnaire information and accelerometer measurements were collected remotely. The main predictor was parental movement composition at baseline. The associations between parental and child movement compositions were examined using Dirichlet regression models, adjusting for child's age and sex, parental education, and language region. The endpoints were children's movement composition at baseline (cross-sectional) and follow-up (longitudinal), respectively.</p><p><strong>Results: </strong>Baseline assessment provided accelerometer and self-reported covariate data for the same measurement week in 686 mother-child and 373 father-child pairs. Follow-up assessment provided accelerometer data for 263 children with maternal and 149 with paternal baseline data. Cross-sectionally, replacing parental sedentary behaviour (SB) with moderate-to-vigorous activity (MVPA) (mothers: 0.10, p < 0.001; fathers: 0.09, p = 0.002) or replacing SB with light physical activity (LPA) (mothers: 0.13; < 0.001; fathers: 0.09; p < 0.005) was associated with similar, but smaller shifts in children. Longitudinally, replacing parental SB with LPA was associated with similar, but smaller shifts in children five years later (mothers: coefficient: 0.12, p = 0.021; fathers: coefficient: 0.10, p = 0.108). The cross-sectional change in children's LPA/SB ratio predicted from a parent's 20% decrease in SB and corresponding 20% increase in LPA was about 18-fold smaller than the observed maternal shift and about 29-fold smaller than the paternal shift from which it was predicted.</p><p><strong>Conclusions: </strong>Dirichlet regression results suggest that parental movement composition may predict children's movement composition, highlighting parental movement patterns, particularly SB, as potentially effective targets for short- and long-term interventions to increase PA in both parents and children.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"5 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12771720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145907312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between 24-hour movement behaviours and psychological wellbeing in adolescents using compositional data analysis.","authors":"Gunchmaa Nyam, Natalie Lander, Ana Maria Contardo Ayala, Claudia Strugnell, Jo Salmon","doi":"10.1186/s44167-025-00094-8","DOIUrl":"10.1186/s44167-025-00094-8","url":null,"abstract":"<p><p>BACKGROUND: Adolescent psychological wellbeing is a critical determinant of lifelong health. Global data suggest a concerning decline in adolescent wellbeing. While the 24-hour movement behaviours, moderate to vigorous physical activity (MVPA), light physical activity (LPA), sedentary time, and sleep, have been linked to mental health outcomes; their associations with specific domains of adolescent psychological wellbeing remain underexplored. This study used compositional data analysis (CoDA) to examine how time-use relate to domain-specific wellbeing in Australian secondary school adolescents. METHODS: Data were drawn from 124 adolescents (aged 13–17 years) participating in the TransformUs Secondary effectiveness trial. Wrist worn Actigraph GT9X accelerometer captured 24-hour movement behaviour over at least three valid days (≥ 16 h/day). Wellbeing was assessed using the EPOCH Measure of Adolescent Wellbeing, which includes five domains: engagement, perseverance, optimism, connectedness, and happiness. CoDA was used to examine associations between the composition of daily movement behaviours and EPOCH domains using isometric log-ratio (ILR) transformations. A compositional time reallocation analysis (30-minutes) was also performed to explore hypothetical associations with wellbeing outcomes. RESULTS: The average daily time-use composition was 680.9 min (47.3%) sedentary time, 473.0 min (32.8%) sleep, 250.7 min (17.4%) LPA, and 35.3 min (2.5%) MVPA. Greater time spent in LPA relative to other behaviours was significantly associated with higher happiness scores (p <  0.05), while greater sedentary time relative to LPA was negatively associated with happiness. Reallocating 30 min of sedentary time to LPA was associated with significant increases in happiness (β =  0.128, 95% CI: 0.034, 0.222). No significant associations were found for engagement, perseverance, or optimism. CONCLUSIONS: Adolescent daily movement behaviour composition was associated with domain-specific psychological wellbeing, particularly happiness. LPA was a potential contributor to positive psychological wellbeing. These findings suggest that even modest changes in daily routines, such as replacing sedentary time and LPA, may support adolescent flourishing. Future research should confirm these findings longitudinally and employ in intervention studies. </p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":"21"},"PeriodicalIF":3.3,"publicationDate":"2025-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12750839/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145800966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physical activity and sedentary pattern compositions and cardiometabolic risk in preschoolers.","authors":"Katherine L Downing, Simone J J M Verswijveren, Lisa Bell, Peter Vuillermin, David Burgner, Anne-Louise Ponsonby, Martin O'Hely, Anna Timperio, Jo Salmon, Kylie D Hesketh","doi":"10.1186/s44167-025-00090-y","DOIUrl":"10.1186/s44167-025-00090-y","url":null,"abstract":"<p><strong>Background: </strong>There is increasing interest in the importance of patterns of accumulation and overall daily time-use composition of physical activity (PA) and sedentary time (SED) for children's cardiometabolic health. This study examined cross-sectional associations between the time-use composition of PA and SED patterns with cardiometabolic risk factors in 4-year-olds.</p><p><strong>Methods: </strong>Data were drawn from the Barwon Infant Study 4-year review (n = 467). Accelerometer data were classified into short (≤ 1-minute) and long (> 1-min) SED, light-, moderate-, and vigorous-intensity PA (LPA, MPA, VPA) bouts. A waking time-use composition of eight distinct components (total volumes plus short and long bouts of SED, LPA MPA, VPA) was constructed using compositional data analysis. Linear mixed models examined associations between composition patterns and body mass index (BMI), percent body fat, triceps and subscapular skinfold thickness, blood pressure, heart rate, carotid-femoral pulse wave velocity, and aortic and carotid intima-media thickness.</p><p><strong>Results: </strong>Adjusted models indicated a higher ratio of long versus short LPA bouts was associated with higher z-BMI (β = 1.69, SE = 0.83, p = 0.04), percent body fat (β = 10.72, SE = 3.71, p = 0.004), and z-triceps (β = 1.90, SE = 0.93, p = 0.04). A higher ratio of long versus short MPA bouts was associated with lower z-BMI (β = - 0.99, SE = 0.46, p = 0.03) and percent body fat (β = - 4.63, SE = 1.93, p = 0.02). A higher total volume of MPA versus VPA was associated with higher percent body fat (β = 4.07, SE = 1.63, p = 0.01) and z-triceps (β = 1.05, SE = 0.43, p = 0.01). Other outcomes showed no associations (p ≥   0.05).</p><p><strong>Conclusions: </strong>In preschoolers, accumulating LPA in shorter bursts, MPA in longer bursts, and maintaining a higher proportion of VPA may support healthier adiposity profiles. These findings underscore the importance of minimizing prolonged sedentary time and encouraging sustained, high-intensity PA from early childhood.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"20"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12667165/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145656534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}