Journal of activity, sedentary and sleep behaviors最新文献

{"title":"Cognitively engaging sedentary activities are associated with better cognitive function in middle-aged adults: a cross-sectional study using the 1970 British Cohort Study.","authors":"Lina Al Qadi, Daniel Saucier, Sophie Rayner, Jade Pitre, Madeleine Savoie, Josiane Stadler, Jalila Jbilou, Myles W O'Brien","doi":"10.1186/s44167-026-00110-5","DOIUrl":"10.1186/s44167-026-00110-5","url":null,"abstract":"<p><strong>Background: </strong>Prior research examining sedentary time and cognitive function has produced mixed findings with limited attention to specific types of sedentary behavior. This cross-sectional study tested the hypothesis that more cognitively active sedentary behaviors (playing video games, internet use, and reading) are positively associated with cognitive performance, in contrast to cognitively passive sedentary behavior (watching television).</p><p><strong>Methods: </strong>Data from 3,943 participants (aged 46-48; 53.3% female) with valid activPAL3 accelerometry, self-reported time spent doing sedentary behaviors, cognitive assessment scores (10-word auditory verbal learning test, category verbal fluency [animal naming] and two-letter cancellation task), and covariate data (sex assigned at birth, moderate-to-vigorous intensity physical activity [MVPA], occupational physical activity, and level of education) were cross-sectionally analyzed from the Age 46 Biomedical Sweep of the 1970 British Cohort Study. Linear regression models, including sex-stratification, evaluated associations between device-measured activity monitoring and specific sedentary behaviors with standardized cognitive assessment scores (z-scores) and a composite global cognition score (primary outcome).</p><p><strong>Results: </strong>In adjusted pooled models, MVPA was positively associated with better global cognition (β = 0.069 ± 0.021 [0.027-0.110] per hour/day, p_FDR = 0.009). Reading (β = 0.042 ± 0.008 [0.026-0.058] per hour/day, p_FDR < 0.001) and internet use (β = 0.017 ± 0.006 [0.005-0.029] per hour/day, p_FDR = 0.030) were positively associated with better global cognition. Watching television (β = - 0.006 ± 0.005 [- 0.017-0.004] per hour/day, p_FDR = 0.297) and playing video games (β = 0.015 ± 0.009 [- 0.002-0.032] per hour/day, p_FDR = 0.128) were not associated with global cognition.</p><p><strong>Conclusion: </strong>While the cognitively passive sedentary behavior of watching television was not associated with global cognition, the more cognitively active sedentary behaviors of reading and internet use were associated with better global cognition in middle-aged adults. These cross-sectional findings highlight potential concurrent behavioral targets for cognitive health in middle-aged adults. The data suggest that lifestyle strategies might optimize cognitive outcomes by prioritizing the accumulation of MVPA, while concurrently supporting a more cognitively active composition of unavoidable sedentary time.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"5 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13670469/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149186791","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":"Not all screen time is sedentary: evidence from aligned smartphone sensing and accelerometry data in adults.","authors":"Joshua Culverhouse, Olivia L Finnegan, Kaia Bowen, Srihari Nelakuditi, Rahul Ghosal, Jenny S Radesky, Taylor Adair, Meghan Restino, James W White, Zifei Zhong, Beniamino Hadj-Amar, Anthony Holmes, Keagan Kiely, Sarah Burkart, Elizabeth L Adams, R Glenn Weaver, Michael Beets, Bridget Armstrong","doi":"10.1186/s44167-026-00109-y","DOIUrl":"10.1186/s44167-026-00109-y","url":null,"abstract":"<p><strong>Background: </strong>Screen time is frequently used as a proxy for sedentary behaviour in physical activity and public health research, an assumption largely derived from television viewing. However, because smartphones are portable, screentime can occur across diverse physical contexts. This raises uncertainty about whether it reliably reflects sedentary behaviour at the momentary level.</p><p><strong>Methods: </strong>This opportunistic analysis used data from an ongoing cohort study of adult caregivers of preschool-aged children. Smartphone screen time was objectively assessed using the Android-based passive sensing app Chronicle, and movement behaviour was assessed using wrist-worn accelerometers. Accelerometer data were processed using GGIR and the SedUp algorithm to classify epochs as sedentary or non-sedentary. Smartphone and movement data were aligned at 5-s epochs during waking wear time. Primary outcomes included the proportion of smartphone screen-use time occurring during sedentary versus non-sedentary behaviour. Secondary analyses examined inactive versus active behaviour during non-sedentary screen use, and app-level differences.</p><p><strong>Results: </strong>The analytic sample included 63 participants contributing 785 person-days (3.3-million 5-s epochs). At the participant level, the median proportion of smartphone use occurring during non-sedentary behaviour was 25.9%, with substantial inter-individual variability (range: 5.6-73.7%). Among non-sedentary screen-use epochs, 52.1% occurred during inactive behaviour and 47.9% occurred during active behaviour. App-level analyses revealed that social media applications were predominantly sedentary, whereas apps such as Phone, Maps, Camera, and YouTube showed higher proportions of non-sedentary use.</p><p><strong>Conclusions: </strong>Smartphone screen time fails as a momentary proxy for sedentary behaviour because a substantial, variable, and app-dependent proportion occurs during non-sedentary behaviour. These findings may have implications for both the measurement and development of interventions aimed at reducing sedentary behaviour and/or smartphone use.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13637156/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148427084","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":"Exploring 24-h movement behaviors in preschool children with developmental disabilities: a scoping review.","authors":"Serena Cacciola, Sarah Burkart, Eric Toole, Melissa N Horger, Ashley C Woodman, Keagan Kiely, Megan Fisher, Erin Johnson, Gianna Salvati, Liz Rosas, Sarah Freedman, Marie Fandy, Christine W St Laurent","doi":"10.1186/s44167-026-00106-1","DOIUrl":"10.1186/s44167-026-00106-1","url":null,"abstract":"<p><strong>Introduction: </strong>Understanding how 24-h movement behaviors (i.e., physical activity, sedentary behavior, sleep) differ among children with developmental disabilities (e.g., delays, disorders, disabilities) is crucial, with evidence indicating that variations seen in older children may begin to emerge in early childhood. However, reviews have not acknowledged such developmental considerations in young participants. Therefore, a scoping review of the growing body of research focused on preschool-aged children is essential for gaining deeper insights into how these behaviors evolve and differ during this critical period.</p><p><strong>Purpose: </strong>This scoping review aimed to (1) identify 24-h movement behavior levels in preschool-aged children with developmental disabilities, (2) determine whether 24-h movement behaviors differed between children with and without developmental disabilities, and (3) determine if 24-h movement behaviors varied by the domain of developmental difference.</p><p><strong>Methods: </strong>We conducted a systematic search in nine databases. Inclusion criteria were: (1) children between 33 and 72 months, (2) inclusion of children with developmental disabilities in the sample, (3) measures of at least two movement behaviors, (4) written in English, and (5) empirical, original research designs. The date of publication was unrestrained. Title/abstract and full text screening were completed by two independent reviewers. The date of publication was unrestrained.</p><p><strong>Results: </strong>Twenty predominantly cross-sectional articles published between 2004 and 2024 were included. Studies examined movement behaviors across various developmental domains such as autism spectrum disorder, cerebral palsy, and developmental coordination disorder. Findings on sleep, sedentary behavior, and physical activity were mixed, with some studies reporting significant group differences while others found no or inconsistent group differences.</p><p><strong>Conclusion: </strong>This review highlights the variability and gaps in current research on movement behaviors among children with developmental disabilities, underscoring the need for more comprehensive and consistent measurements that consider all 24-h movement behaviors to better inform targeted interventions.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13617814/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148387945","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":"Economic cost of movement behaviours: a systematic review.","authors":"Sitong Chen, Tena Matolic, Aamir Raoof Memon, Jerome N Rachele, Jozo Grgic, Manuel Antonio Espinoza, Zeljko Pedisic","doi":"10.1186/s44167-026-00108-z","DOIUrl":"10.1186/s44167-026-00108-z","url":null,"abstract":"<p><p>Public health research and practice are shifting towards integrative consideration of physical activity (PA), sedentary behaviour (SB), and sleep, as interdependent components of daily time use. However, no previous reviews have synthesised evidence on economic costs associated with these movement behaviours. The aim of this systematic review was to synthesise evidence on economic costs of insufficient PA, excessive SB, and inadequate sleep duration. Literature searches were conducted in Open Dissertations, PsycINFO, PubMed/MEDLINE, Scopus, SPORTDiscus, and Web of Science. Publications that provided estimates of total, direct, or indirect monetary cost of any of the three behaviours in the general adult population were included. Out of 21,418 screened references, 40 papers met the inclusion criteria (77.5% from high-income countries; 77.5% on economic costs of PA only; 90% reporting estimates based on self-reported movement-behaviour data). In Canada (the only country for which estimates of economic costs of all three movement behaviours were available) the combined total annual cost of insufficient PA, excessive SB, and inadequate sleep duration was 9.2 billion USD or 0.41% of the gross domestic product. In studies using the population attributable fraction (PAF) based approach, the total annual national costs of insufficient PA and excessive SB ranged from 1.94 to 9.78 billion USD and 1.82 to 1.97 billion USD, respectively. In the only study that used the PAF-based approach to estimate the cost of inadequate sleep duration, the total national cost in Canada was 0.44 billion USD per year. Globally, billions USD per year are cumulatively spent on adverse consequences of unhealthy movement behaviours. However, the exact cost could not be estimated, because evidence was available only for a limited number of mostly high-income countries. In the included studies, the cost of insufficient PA was approximately 2-4 times higher than the cost of excessive SB and 16 times higher than the cost of inadequate sleep duration; hence it seems that public health initiatives should focus primarily on promoting PA. More research is needed, particularly in low- and middle-income countries, using device-based movement-behaviour data, and exploring costs of excessive SB, inadequate sleep duration, and not meeting the overall 24-hour movement guidelines.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13602655/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148378383","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":"Effects on 24-h physical behaviors and heart rate variability during sleep of a co-created workplace intervention to promote recovery in office workers with flexible work.","authors":"Johanna Edvinsson, Svend Erik Mathiassen, David M Hallman","doi":"10.1186/s44167-026-00107-0","DOIUrl":"10.1186/s44167-026-00107-0","url":null,"abstract":"<p><strong>Background: </strong>As flexible work arrangements (FWAs) become more common among office workers, the challenge of maintaining a healthy balance between work and recovery increases. However, studies addressing workplace interventions to promote recovery in FWAs are sparse. This study examined the effects of a co-created workplace intervention on the 24-hour composition of physical behaviors and recovery during sleep among office workers with FWAs.</p><p><strong>Methods: </strong>A controlled intervention study was performed in a large governmental organization offering FWAs. Office workers from one unit (n = 27) participated in, (1) an individual-level course on work strategies and (2) a workgroup-level workshop to develop common rules and routines for FWAs. These activities were expected to reduce work demands, facilitate detachment after work, and promote healthier 24-hour physical behavior patterns and improve recovery during sleep. Employees from a comparable unit were included as a control group working as usual (n = 21). Physical behaviors at baseline and at a 12-month follow-up were assessed in both groups using 24-hour accelerometry for three days, together with heart rate variability indicators of recovery during sleep. We calculated time used in physical activity, inactivity and sleep in a Compositional data analysis framework, and analyzed intervention effects on these behaviors and heart rate variability indicators using repeated-measures MANOVA.</p><p><strong>Results: </strong>The intervention led to, on average, 36 min more sleep per night, compared to 23 min less sleep in the control group, and the effect size was large (F = 10.87, p < 0.01, ηₚ² = 0.28). The intervention had limited effects on physical activity relative to inactivity, and on heart rate variability during sleep (interaction between time and group: p > 0.05).</p><p><strong>Conclusions: </strong>An intervention combining intervention activities at the individual and workgroup levels led to longer sleep time, indicating a behavioral effect that may promote recovery and health. The intervention did not, however, affect physical activity behaviors while awake, or heart rate variability indicators of recovery during sleep. These findings suggest that interventions targeting individual and collective work practices may influence physical behaviors and recovery. Further studies are needed to examine long-term effects in other groups of workers with flexible work.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13312575/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148347459","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":"Sedentary behavior type matters: compositional analysis of 24-hour movement behaviors and cognitive function in older adults.","authors":"Xinyu Fan, Yijian Yang, Yang Zhao, Jing Liao","doi":"10.1186/s44167-026-00105-2","DOIUrl":"10.1186/s44167-026-00105-2","url":null,"abstract":"<p><strong>Background: </strong>Sleep, sedentary behaviors (SB) and physical activity are independently associated with cognitive function in older adults, yet the joint relationship of these 24-hour movement behaviors with cognitive function is less well studied. Additionally, the association between SB and cognitive function may differ depending on whether SB is mentally active or inactive. This study aimed to examine the associations between 24-hour movement behavior compositions and cognitive function in older adults, explore the differential associations of different sedentary behavior (SB) types with cognitive function, and assess the predicted cognitive differences associated with time reallocation among these behaviors.</p><p><strong>Methods: </strong>Data were drawn from 2516 US adults aged ≥ 60 years in the 2011-2014 National Health and Nutrition Examination Survey. Sleep, total SB, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) were all assessed via wrist-worn accelerometry. Total SB was disaggregated into TV watching (inactive SB), computer use (active SB), and other SB using individual proportional weights derived from the Global Physical Activity Questionnaire (GPAQ). Cognitive function was evaluated using the Consortium to Establish a Registry for Alzheimer's Disease Word Learning (memory), Animal Fluency (language), and Digit Symbol Substitution (executive function) tests. Standardized scores were combined into a global cognition score. Weighted compositional linear regression and isotemporal substitution models were applied.</p><p><strong>Results: </strong>In the 4-component model, greater relative time in MVPA and total SB were positively associated with global cognition (β = 0.191 and β = 0.260, respectively; both P ≤ 0.001), whereas relative sleep and LPA were negatively associated with global cognition. In the 6-component model, disaggregating total SB revealed divergent associations: computer use was positively associated with all cognitive domains (global: β = 0.045, P < 0.001), while TV watching was negatively associated with global cognition (β=-0.050, P = 0.047) and language. Notably, neither \"other SB\" nor sleep remained significantly associated with cognition in this expanded model. Isotemporal substitution analyses indicated that reallocating time to MVPA or computer use was associated with predicted higher global cognition scores, revealing a pronounced asymmetric trajectory where reducing these behaviors predicted steep cognitive declines.</p><p><strong>Conclusions: </strong>Engaging in MVPA or mentally active SB may help preserve cognitive function in older adults, whereas mentally inactive SB is associated with poorer cognition. Optimizing 24-hour time use by replacing passive sedentary behaviors with MVPA or cognitively engaging activities represents a promising strategy.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13501802/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148260592","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":"Exploring the associations between physical activity, sleep, sedentary behaviour, and mental health in young German children.","authors":"Katarina Osojnicki, Berit Brandes, Mirko Brandes, Hajo Zeeb, Lori Ann Vallis, Christoph Buck","doi":"10.1186/s44167-026-00104-3","DOIUrl":"10.1186/s44167-026-00104-3","url":null,"abstract":"<p><strong>Background: </strong>Early childhood is a period of rapid development; research shows that the formation of healthy habits during this period can result in higher physical fitness levels and better sleep, but also long-term improved mental health and wellbeing. Despite structures supporting physical activity (PA) and related behaviours, many German children under 6 years do not achieve the recommended levels of PA, sedentary behaviour (SED), and sleep; this in turn can hinder the formation healthy lifestyle habits in the early years, and also lead to long-term poor mental health, later in life. Thus, this study aimed to explore the associations between device-based measured PA with nighttime sleep, SED, and mental health in German children under six years of age.</p><p><strong>Methods: </strong>PA, sleep, and SED were assessed at baseline and 1-year follow-up using wrist-worn GENEActiv accelerometers sampled at 100 Hz. The R-package GGIR (version 3.1.1) was used to derive light-intensity PA (LPA), moderate-to-vigorous-intensity PA (MVPA), total PA (TPA), inactivity (proxy for SED), total night sleep time (TST), and sleep efficiency (SE). Parents answered on children's mental health using the Strengths and Difficulties Questionnaire (SDQ). Linear mixed models, were used to estimate cross-sectional associations from repeated measures of PA intensities with sleep, SED, and mental health, adjusting for age and sex of the child, parental education, migration background, urbanity, and household income.</p><p><strong>Results: </strong>We investigated 212 children aged 2-6 years (51% female at baseline, 5.2% overweight or obese). At baseline, children spent on average 418.7 min/day inactive, 252.6 min/day in MVPA, and 480 min/day asleep, with a SE of 80%. The results indicated relevant associations of LPA, MVPA, or TPA with SED, SE, or TST, but no association of PA variables and SDQ.</p><p><strong>Conclusion: </strong>Given the rapid developmental changes in early childhood, it is essential to track 24-hour movement behaviors, and mental health over time using device-based measures to better inform strategies that promote lifelong physical and mental wellbeing. Future multi-component interventions should be explored to determine potential synergistic benefits for mental health.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"5 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13262316/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148229610","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 behaviour policies in Canadian childcare facilities: Prevalence, content, and associations with facility characteristics and regional legislation.","authors":"Brianne A Bruijns, Hannah J Coyle-Asbil, Sophie M Phillips, Leigh M Vanderloo, Scott Wong, Patricia Tucker","doi":"10.1186/s44167-026-00103-4","DOIUrl":"10.1186/s44167-026-00103-4","url":null,"abstract":"<p><strong>Background: </strong>Early childhood is a critical period for establishing healthy movement behaviours, including physical activity, sedentary behaviour, screen time, and sleep. Childcare represents a key setting for shaping these behaviours, as many young children spend a substantial proportion of their waking hours in these environments. This study provides a national overview of movement behaviour policies in Canadian childcare facilities and examines associations with facility characteristics and provincial/territorial legislation.</p><p><strong>Methods: </strong>A cross-sectional online survey was completed by directors/owners of childcare facilities across Canada (n = 1,340). Respondents reported on the presence and characteristics of written policies across physical activity, sedentary behaviour/screen time, and sleep domains, along with facility characteristics. Descriptive statistics summarized policy prevalence, and thematic analysis was conducted on open-ended responses. Logistic regression models examined associations between facility characteristics (urbanicity, childcare type, enrolment size, daily fees) and the presence of written movement behaviour policies, as well as associations with explicit mention of these behaviours in provincial/territorial legislation.</p><p><strong>Results: </strong>Written policies were reported by 50.0% of facilities for overall physical activity, 61.1% for providing no screen time, and 68.7% for outdoor physical activity; fewer reported policies limiting prolonged seated time (17.0%) or ensuring age-appropriate nap durations (46.6%). Policies addressing educator professional development and family education were uncommon (< 21% and < 12%, respectively). Facilities in jurisdictions without explicit movement behaviour legislation were significantly less likely to report written policies for overall physical activity, prolonged seated time, and nap duration (p < .01). Urbanicity (p = .044) and enrolment size (p = .027) were associated with the presence of physical activity and nap duration policies, respectively, while family-/home-based childcare facilities had substantially lower odds of reporting a no screen time policy (OR = 0.22, p < .001) and higher odds of reporting a policy for prolonged seated time (OR = 1.94, p = .033) compared to centre-based facilities.</p><p><strong>Conclusion: </strong>Movement behaviour policies in Canadian childcare settings are inconsistent and strongly shaped by governance and childcare context. While policies for physical activity and outdoor play are common, formal guidance for sedentary behaviour, screen time, sleep, and educator and family education remain limited. Greater coordination, implementation supports, and investment in professional learning may promote more equitable movement opportunities for young children in Canada.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13270809/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147824394","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":"Using network science to examine temporal relationships between 24-hour movement behaviors and depression during the transition to college: protocol for a prospective cohort study.","authors":"Denver M Y Brown, Carah D Holesovsky, Michael S Vitevitch, Kelsie T Forbush","doi":"10.1186/s44167-026-00102-5","DOIUrl":"10.1186/s44167-026-00102-5","url":null,"abstract":"<p><strong>Background: </strong>The transition to college coincides with the peak age of onset for depression and is marked by substantial changes in 24-hour movement behaviors (sleep, sedentary behavior, physical activity). Although these behaviors are modifiable and increasingly implicated in depression risk, most studies rely on cross-sectional, self-reported data and aggregate symptom scores, limiting insight into temporal dynamics and symptom-level heterogeneity. Integrating compositional modeling of 24-hour time use data with network approaches to psychopathology may clarify when and how specific behavioral patterns relate to distinct depressive symptoms during this high-risk developmental window.</p><p><strong>Methods: </strong>The College Adjustment, Lifestyle and Mental health (CALM) Study is a 16-week prospective cohort study of 144 first-year undergraduate students (Mage = 18.2 ± 0.4 years; 54.9% female) during their first academic semester. A hybrid panel-burst design combined five monthly panel surveys assessing psychosocial and behavioral factors with five 7-day intensive daily diary assessment bursts distributed across a 108-day period. During each burst, participants completed daily diary adaptations of the PHQ-8 and GAD-7 to capture depressive and anxiety symptoms, along with other contextual variables. Sleep, sedentary behavior, light physical activity, and moderate-to-vigorous physical activity were assessed daily using Fitbit Charge 6 devices. Primary analyses will model daily 24-hour movement behaviors using compositional data analysis to account for the constrained nature of time-use data and integrate these compositions into multilevel vector autoregressive models to estimate within-person temporal, contemporaneous, and between-person associations with individual depressive and anxiety symptoms. Secondary analyses will examine symptom-behavior network differences across movement behavior profiles and assess stability of symptom-behavior networks across the first college term to identify periods of heightened risk for symptom onset and progression.</p><p><strong>Discussion: </strong>By embedding wearable-derived 24-hour movement behavior compositions within dynamic symptom networks, this study advances precision behavioral psychiatry beyond aggregate depression scores by identifying which behaviors are most strongly linked to specific symptoms, for whom these associations differ, and when risk intensifies during the transition to college. The hybrid panel-burst design further provides a foundation for future predictive modeling of individual risk trajectories and the development of just-in-time adaptive interventions leveraging passive sensing to support early detection and prevention of depression in emerging adults.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13248335/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147791252","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":"Feasibility and acceptability of longitudinal measurement of 24-hour movement profiles across pregnancy using research-grade devices paired with sleep diaries.","authors":"Elizabeth Ryan, Alex Asera, Kelley Pettee Gabriel, Rachel Manber, Charles P Quesenberry, Bethany R Hallenbeck, Lyndsay A Avalos, Monique M Hedderson, Sylvia E Badon","doi":"10.1186/s44167-026-00101-6","DOIUrl":"10.1186/s44167-026-00101-6","url":null,"abstract":"<p><strong>Background: </strong>Comprehensive assessment of 24-hour movement profiles can reveal patterns of physical activity, sedentary behavior, and sleep across pregnancy. To fully capture sleep health, assessments should combine subjective measures (e.g. sleep diaries) with objective wearable data. However, collecting such data throughout pregnancy can be burdensome. This study evaluated the feasibility and acceptability of using a research-grade accelerometer and daily sleep diaries longitudinally.</p><p><strong>Methods: </strong>Ten pregnant individuals were recruited at 10 weeks' gestation and followed until 35 weeks. Participants wore the ActiGraph CentrePoint Insight accelerometer continuously and completed daily sleep diaries one week per month. Feasibility was based on adherence (≥ 4 valid accelerometer wear days ≥ 10 h/day and ≥ 4 completed diaries per week). Acceptability was evaluated via participant-reported ease of use and comfort with the accelerometer and sleep diaries in a feedback questionnaire at 35 weeks.</p><p><strong>Results: </strong>Nine participants provided ≥ 4 valid accelerometer days per week for a mean of 15 weeks (range: 10-23; median: 15). Ten participants completed ≥ 4 days of text-based sleep diaries during assigned diary weeks for a mean of 5 months (range: 3-6, median: 6). Most (78%) found the sleep diaries easy to respond to and the watch comfortable, though several described the band as bulky. One-third (n = 3) experienced device issues, partially resolved through troubleshooting or replacement.</p><p><strong>Conclusions: </strong>Longitudinal 24-hour movement assessment using research-grade accelerometers paired with daily sleep diaries was feasible and acceptable for 90% of participants, though technical issues reduced wear time. Future studies should address comfort, anticipate device problems, and use reminders and text-based diaries to improve adherence.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13245044/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147791227","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}