Journal of activity, sedentary and sleep behaviors最新文献

{"title":"Trajectories of children's physical activity volume and intensity across the school year: the Ready, Set, Move project.","authors":"Stuart J Fairclough, Lauren Clifford, Jordan Banks, Peter Edwards, Ayva-Mae Gilmour, Richard Tyler, Denver M Y Brown, Alex V Rowlands, Mhairi MacDonald","doi":"10.1186/s44167-025-00091-x","DOIUrl":"10.1186/s44167-025-00091-x","url":null,"abstract":"<p><strong>Background: </strong>Average acceleration (AvAcc) and intensity gradient (IG) are accelerometer metrics which when combined describe the volume and intensity distribution of physical activity, sedentary behaviour, and sleep across the 24-h cycle. Little is known about trajectories of children's AvAcc and IG over time on weekdays and weekends. This study describes school year trajectories of children's weekday and weekend AvAcc and IG.</p><p><strong>Methods: </strong>During 2023-24 249 children (8-9 years old; 51.4% girls) wore accelerometers for 24 h⋅day^-1 over 7-days at three time points (Autumn, Winter/Spring, Summer). AvAcc and IG were calculated for weekdays and weekends. K-means cluster analyses were performed on Autumn data to group participants according to their combined AvAcc and IG profiles. Linear mixed models examined school year weekday and weekend AvAcc and IG trajectories for the whole sample (Aim 1) and for the clusters (Aim 2).</p><p><strong>Results: </strong>Aim 1: There were significant increases in weekday AvAcc in Summer compared to Winter/Spring (β = 3.94, 95% CI = 1.20, 6.68) and Autumn (β = 4.43, 95% CI = 2.47, 6.40), but not IG. Weekend AvAcc and IG were relatively stable. Aim 2: Three cluster groupings of children were identified (Most Active, Somewhat Active (weekdays) / Active (weekends), and Least Active). Weekday AvAcc increased significantly from Winter/Spring to Summer in all groups (+ 3.6-4.6 mg, 95% CIs > 0) and from Autumn to Summer in the less active groups only (+ 5.2-5.8 mg, 95% CIs > 0). IG remained stable for the Most and Somewhat Active groups, with a significant increase from Autumn to Summer observed in the Least Active group (+ 0.05, 95% CI = 0.01-0.09). There were no significant within-cluster group changes in weekend AvAcc or IG, although the Least Active children had the most positive AvAcc and IG trajectories.</p><p><strong>Conclusions: </strong>Weekday physical activity volume but not intensity increased over the school year, while both dimensions of weekend activity had stable trajectories. Weekday and weekend cluster groups had distinct physical activity profiles which followed subtly different AvAcc and IG trajectories. The results reinforce the complementary insights provided by studying AvAcc and IG together and have implications for children's physical activity intervention programming.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":"1"},"PeriodicalIF":3.3,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12764146/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145643659","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":"Visualising accelerometer-based 24/7 human movement behaviour data: an umbrella review and framework development from the LABDA project.","authors":"Marian Marchiori, Josef Heidler, Gaia Segantin, Henrik R Eckmann, Mai J M Chinapaw, Morten Kjærgaard, Jasper Schipperijn","doi":"10.1186/s44167-025-00088-6","DOIUrl":"10.1186/s44167-025-00088-6","url":null,"abstract":"<p><strong>Background: </strong>Regular Physical Activity (PA) is important for disease prevention and health promotion. PA has been assessed through surveys, questionnaires, and devices such as accelerometers. Alongside PA, Sedentary Behaviour (SB) and sleep are the main components of 24/7 movement behaviours, and their adequate measurement is important for assessing health outcomes. Many different metrics to summarise 24/7 movement behaviours are used; however, little attention has been paid to visualising these metrics. Data visualisation is likely to impact the way results are communicated and understood by different audiences. This study systematically reviews 24/7 movement behaviour metrics, presents an overview of their visualisations, and develops a framework to guide context-specific visualisation choices.</p><p><strong>Methods: </strong>An umbrella review was conducted in February 2025 in Scopus and Web of Science. Included papers were reviews of any type, with any human population and study design, having at least one of the three 24/7 movement behaviours as exposure or outcome measured through accelerometers, and clearly reporting the outcome metrics. Data extraction and an adapted thematic data analysis were performed in April 2025. The overview of the visualisations used for the metrics identified in the review and thematic analysis was created through non-systematic web searches and use of Microsoft Copilot. Finally, a framework was created based on the sender-receiver model for effective communication.</p><p><strong>Results: </strong>In total, 93 reviews were included, with a total of 5667 articles reporting on 134 unique output metrics based on accelerometer data. The most common metrics were step counts and time spent in Moderate-to-Vigorous Physical Activity (MVPA). The non-systematic web searches showed that most researchers use bar charts, line graphs, or pie graphs to visualise 24/7 movement behaviour data, while Copilot input provided more options of visualisations. The resulting framework was the product of an iterative process aggregating the previous results, providing clear guidance for organising metrics and their corresponding visualisations.</p><p><strong>Conclusions: </strong>This study structures and summarises types of visualisations of accelerometer-derived metrics to describe 24/7 human movement behaviour data. Future research is needed to apply the framework in practical contexts and investigate how the visualisations are perceived by different audiences.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"19"},"PeriodicalIF":0.0,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12625468/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145544035","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 parent-child outdoor visits and preschool-aged children's screen time: a cross-sectional study.","authors":"Henna Launistola, Reetta Lehto, Elina Engberg, Josefine Björkqvist, Jenna Rahkola, Nina Simonsen, Nanna Wackström, Emmi Tilli, Eva Roos, Carola Ray","doi":"10.1186/s44167-025-00089-5","DOIUrl":"10.1186/s44167-025-00089-5","url":null,"abstract":"<p><strong>Background: </strong>Children's decreasing outdoor time and increasing screen time (ST) raise concern, as both can impact children's health unfavourably. However, little is known about the association between young children's context-specific outdoor time and ST. This study investigated the associations between parent-child outdoor visit frequency in nature, own yard, playground, and in total and preschoolers' ST on weekdays and weekends.</p><p><strong>Methods: </strong>Data were collected via a survey assessing parent-child outdoor visits and a 7-day ST diary completed by parents of children (n = 673, 3-6 years) participating in the DAGIS intervention study in Finland. The cross-sectional associations were examined by linear regression analyses adjusted for child age, sex, socioeconomic factors, and season.</p><p><strong>Results: </strong>More frequent parent-child visits to own yard (B -1.98, 95%CI -3.43, -0.52) and nature (B -2.31, 95%CI -4.01, -0.60) were associated with less weekday ST among children, whereas more frequent visits to playground (B -3.68, 95%CI -7.18, -0.18) were associated with less weekend ST. Also, more frequent visits to nature (B -2.28, 95%CI -4.20, -0.38), own yard (B -2.38, 95%CI -4.03, -0.73), and playground (B -2.48, 95%CI -4.71, -0.25) were associated with less whole-week ST. More frequent total outdoor visits were associated with less weekday (B -1.547, 95%CI -2.38, -0.71), weekend (B -1.91, 95%CI -3.38, -0.45), and whole-week ST (B -1.77, 95%CI -2.71, -0.84).</p><p><strong>Conclusion: </strong>In conclusion, visiting different outdoor spaces was associated differentially with children's ST on weekdays and weekend days, whereas total outdoor visit frequency was associated with less ST throughout the week. Hence, municipalities should ensure the availability of different types of safe outdoor spaces in neighbourhoods to provide alternatives for young children's screen use.</p><p><strong>Trial registration number: </strong>ISRCTN57165350, Registration date 08/01/2015.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"18"},"PeriodicalIF":0.0,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12590795/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145460696","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":"Socio-economic position and changes in 24-h movement behaviors during the retirement transition.","authors":"Nina Vansweevelt, Jannique van Uffelen, Filip Boen, Kristin Suorsa, Jan Seghers","doi":"10.1186/s44167-025-00087-7","DOIUrl":"10.1186/s44167-025-00087-7","url":null,"abstract":"<p><strong>Background: </strong>The retirement transition provides a window of opportunity for the optimization of activity, sedentary and sleep behaviors. Identifying groups at risk for non-favorable changes is important in this matter. There are indications that lower socio-economic position (SEP) adults might be more prone to non-favorable changes. However, previous studies mainly used self-reported behaviors and only one indicator of SEP. The purpose of the present study was therefore to examine the association of SEP with changes in device-measured physical activity, SB and sleep during the retirement transition in adults in Flanders (Belgium) in a longitudinal study.</p><p><strong>Methods: </strong>The behaviors were measured pre-retirement and at three, six and twelve months post-retirement with a wrist-worn accelerometer (n = 96). The raw acceleration data were processed using the R package GGIR and analysed using compositional data analysis in linear mixed models including the SEP indicators education, occupation and income. Additionally, changes in intensity gradient and average acceleration were examined.</p><p><strong>Results: </strong>The results showed that on average, physical activity was stable, sleep increased (+ 18 min) and SB decreased (- 15 min). The intensity gradient and average acceleration did not change significantly. The higher income group had significantly more favorable changes in movement behaviors compared to the lower income group. More specifically, they increased physical activity and shifted towards more intense physical activity, while the lower income group did not. The higher education and occupation groups showed a non-significant trend towards more favorable changes. The changes occurred mainly between pre-retirement and three months post-retirement and were relatively stable afterwards.</p><p><strong>Conclusion: </strong>The behaviors shifted towards more healthy behaviors in general, with stable physical activity, a decrease in SB and an increase in sleep. The changes in the behaviors were more favorable for retirees with higher SEP compared to retirees with lower lower socio-economic position. There seems to be a need for strategies to improve 24-h movement behaviors of lower SEP adults during the retirement transition. However, our results are based on a small sample and should be validated in larger studies.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"17"},"PeriodicalIF":0.0,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12532850/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310182","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":"Five-year trends in U. S. child and adolescent 24-hour movement behavior guideline adherence, 2018-2022.","authors":"Christopher D Pfledderer, Emma J Mullane, Denver M Y Brown, Sarah Burkart, Ethan T Hunt, Ashleigh Johnson, Hannah Parker, Deborah Salvo","doi":"10.1186/s44167-025-00086-8","DOIUrl":"10.1186/s44167-025-00086-8","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The purpose of this study was to investigate the five-year trends in 24-hour movement behavior (24hrMB) guideline adherence among children and adolescents in the United States (U.S.) using the 2018-2022 waves of the National Survey of Children's Health (NSCH), giving particular attention to disparities in guideline adherence with respect to sex, age, and overweight/obesity status.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This secondary data analysis study utilized a successive independent samples design involving data from five waves (2018-2022) of the U.S. NSCH. Robust Poisson regression models were used to examine adherence to 24hrMB guidelines (physical activity [PA], screentime [ST], sleep [SL]), with survey year included as a categorical independent variable. Post-hoc marginal prevalences were calculated for each survey year and Cochrane-Armitage tests for trend were used to examine trends in 24hrMB guideline adherence across 2018-2022. Models were adjusted for age, sex, race/ethnicity, household income level relative to the Federal Poverty Level, metropolitan statistical area status, and overweight/obesity status, in addition to adherence to the guidelines not included as the outcome variable. Separate models were also employed to analyze interactions between sex, age, and overweight/obesity status and 24hrMB guideline adherence across survey years.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 135,309 (Weighted N = 48,419,077) children and adolescents (mean age = 11.9 ± 3.5 years, 48.9% female, 71.3% White) were included in the analytical sample. From pooled data across 2018-2022, 20.8% met PA guidelines, 49.6% met ST guidelines, 64.7% met SL guidelines, and 9.7% met all three guidelines concurrently. Except for SL, which remained stable, the predictive prevalence of adherence to every combination of 24hrMB guideline was significantly lower in 2022 compared to 2018, with variations in trends between individual guidelines and years. The largest predicted prevalence difference from 2018 to 2022 was adherence to ST guidelines, which was 0.52 (95%CI 0.50-0.54) in 2018 and 0.47 (95% CI 0.46-0.48) in 2022 (p &lt; 0.001). The largest year-to-year predictive prevalence difference was also adherence to ST guidelines from 2019 to 2020, which was 0.52 (95% CI 0.50-0.53) in 2019 and 0.40 (95% CI 0.39-0.42) in 2020 (p &lt; 0.001). Cochran-Armitage tests for trend revealed a significant downward trend in guideline adherence for all 24hrMB across 2018-2022 (X&lt;sup&gt;2&lt;/sup&gt;&lt;sub&gt;range&lt;/sub&gt; = 45.9-826.2, p &lt; 0.01).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The predictive prevalence of adherence to every combination of 24hrMB guideline was significantly lower in 2022 compared to 2018, except for individual SL guideline adherence, which remained stable. These findings are concerning from a public health perspective, as meeting 24hrMB guidelines is linked to numerous indicators of healthy development for children and youth, underscoring the need for eff","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"16"},"PeriodicalIF":3.3,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12532870/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310169","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":"County-level residential segregation and sedentary behavior in US adults.","authors":"Mohammad Moniruzzaman, Yangyang Deng, Breanna Rogers, Sheikh Mohammed Shariful Islam, Kelly K Jones, Pedro F Saint-Maurice, Shreya Patel, David Berrigan, Charles E Matthews, Kosuke Tamura","doi":"10.1186/s44167-025-00084-w","DOIUrl":"10.1186/s44167-025-00084-w","url":null,"abstract":"<p><strong>Background: </strong>Excessive sedentary behavior (SB) is highly prevalent among adults in the United States (US). From a socio-ecological perspective, residential segregation may affect SB; however, this remains understudied. Thus, we aimed to examine associations between county-level segregation and sedentary time in a nationwide sample of US adults.</p><p><strong>Methods: </strong>For this cross-sectional study, we analyzed data from 2,637 US adults aged 20-75 years (mean age [45.1 years], female [50.6%]) from the population-based AmeriSpeak panel in 2019. Participants completed the Activities Completed over Time in 24-hours (ACT24) previous-day recall, which is a validated population-level measure of total daily SB (hours/day). Residential segregation was expressed as the isolation index at the county level for non-Hispanic (NH) Black and Hispanic adults (vs. all other racial and/or ethnic groups). Isolation index ranges from 0 to 1, with a higher value indicating higher segregation. We used survey-weighted linear regression models to examine the relationships of race and/or ethnicity specific isolation index with total daily SB, adjusting for covariates. Models were also stratified by sex.</p><p><strong>Results: </strong>US adults reported a mean of 9.5 h/day of sedentary time, with NH Black and Hispanic adults reporting 9.8 and 8.9 h/day, respectively. NH Black segregation was not related to sedentary time (β = -0.30 [-2.53, 1.94], p = 0.790). Hispanic segregation also showed no relationship (β = 0.32, [-1.64, 2.28], p = 0.743). Moreover, sex-stratified analyses showed null associations.</p><p><strong>Conclusions: </strong>We found no association between residential segregation and SB among NH Black and Hispanic adults, and these associations did not vary by sex. Future studies should aim to replicate this study with larger samples of underrepresented minority populations.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"15"},"PeriodicalIF":0.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403554/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981277","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":"Cross-sectional and longitudinal associations between 24-hour movement behaviors and growth, motor, and social-emotional development in early childhood.","authors":"Jelle Arts, Teatske M Altenburg, Annelinde Lettink, Arnoud P Verhoeff, Jessica S Gubbels, Mai J M Chinapaw","doi":"10.1186/s44167-025-00085-9","DOIUrl":"10.1186/s44167-025-00085-9","url":null,"abstract":"<p><strong>Background: </strong>To enhance evidence on optimal 24-hour movement behaviors (physical activity, sedentary behavior, and sleep) in early childhood, this study investigated cross-sectional and longitudinal associations of the composition of these behaviors with social-emotional development, gross motor development and growth in 0-4-year-olds.</p><p><strong>Methods: </strong>Data were collected at two timepoints (baseline and 9 months later) in two sub-cohorts from the My Little Moves study: one examining social-emotional development (sub-cohort-SE) and one gross motor development and growth (sub-cohort-GM). Children's time spent in 24-hour movement behaviors was assessed via parent-report using the My Little Moves app. Isometric log-ratios were calculated to represent 24-hour movement behavior composition. Social-emotional and gross motor development were assessed using the Bayley Scales of Infant and Toddler Development-III, with both total raw and norm-referenced scaled scores. Children's weight and height were measured to calculate BMI z-scores. Linear regression and mixed-model analyses examined cross-sectional and longitudinal associations, with significant results further explored using compositional isotemporal reallocation analysis.</p><p><strong>Results: </strong>Sub-cohort-SE provided data from 101 children at timepoint 1 (age 20.6 ± 12.5 months) and 62 children at timepoint 2 (age 25.7 ± 9.8 months). Sub-cohort-GM provided data from 60 children at timepoint 1 (age 20.4 ± 10.8 months) and 46 children at timepoint 2 (age 27.6 ± 9.6 months). The composition of 24-hour movement behaviors was significantly associated with raw gross motor development scores in both cross-sectional (p < .001, R²Δ = 0.042) and longitudinal (p < .001, R²Δ = 0.033) analyses. The association with BMI z-scores was significant only in the cross-sectional analysis (p = .015, R²Δ = 0.130). Reallocating 10 min from sedentary behavior to physical activity or sleep increased raw gross motor development scores by 0.22 (95% CI [0.11, 0.33]), and 0.27 (95% CI [0.08, 0.45]). Reallocating 10 min from sedentary behavior to sleep increased BMI z-scores by 0.04 (95% CI [0.01, 0.06]).</p><p><strong>Conclusions: </strong>The composition of 24-hour movement behaviors was significantly associated with BMI z-scores and gross motor development, but not social-emotional development in children aged 0-4 years. Evidence on the optimal distribution of movement behaviors remains unclear and needs further examination in larger longitudinal studies.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"14"},"PeriodicalIF":3.3,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12392550/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981319","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":"Barriers and facilitators to increase physical activity and reduce sedentary behavior in Ethiopian office-based employees: a qualitative formative research using the social-ecological model.","authors":"Abel Negussie, Bronwyn Clark, Adamu Addissie, Alemayehu Worku, Eshetu Girma","doi":"10.1186/s44167-025-00083-x","DOIUrl":"10.1186/s44167-025-00083-x","url":null,"abstract":"<p><strong>Background: </strong>Low levels of physical activity (PA) and high levels of sedentary behavior (SB) are major modifiable risk factors for the prevention of non-communicable diseases such as cardiovascular diseases, cancer, and diabetes. However, there is insufficient information on the barriers and facilitators of PA and SB in Ethiopia, particularly at multiple socioecological levels, to inform behavior change interventions that promote active living among office-based working adults. This qualitative formative study aimed to explore the barriers and facilitators to increasing PA and reducing SB in Ethiopian office employees using the social-ecological model (SEM) as a conceptual framework.</p><p><strong>Methods: </strong>A total of twenty-six office workers (19 physically inactive/sedentary, 7 physically active) and seven key informants participated in in-depth interviews conducted between April and June 2023 in Hawassa, southern Ethiopia. The interviews were audio-recorded, fully transcribed, translated into English, and iteratively coded. Data were analyzed using a thematic analysis approach, and the barriers and facilitators generated were mapped onto the SEM categories.</p><p><strong>Results: </strong>The findings were organized into thirteen themes that belong to the five levels of the SEM. Six themes were categorized to the intrapersonal level (sociodemographic and economic status; knowledge, experience and misperceptions; attitudes, beliefs and values; motivational challenges; sitting habit; and physical competence/skill); one theme belonged to the interpersonal level (social support); two themes were classified to the organizational level (work-related factors; organizational support); three themes were categorized to the environmental/community level (physical environment; social norm associated with walking; and PA promotional initiatives); and one theme belonged to the policy level (workplace health promotion policies).</p><p><strong>Conclusions: </strong>A complex interplay of multiple factors contributes to office workers' PA and SB engagement. Interventions should consider multi-component behavior change strategies that target barriers and facilitators at multiple levels, including individually tailored approaches, in order to effectively influence these physical behaviors.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"13"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12315355/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144762516","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 waking movement behaviors and health-related quality of life in older adults: a compositional data analysis approach.","authors":"Jaclyn P Maher, Alexander Jochim, Yeongjun Seo, Brynn L Hudgins, Iman F Khan, Peyton A Greco, Emily M Postlethwait, Om L Patel, Krista S Leonard, Chih-Hsiang Yang, Denver M Y Brown","doi":"10.1186/s44167-025-00080-0","DOIUrl":"10.1186/s44167-025-00080-0","url":null,"abstract":"<p><strong>Objectives: </strong>Movement behaviors, such as sedentary behavior (SB), light intensity physical activity (LPA), and moderate to vigorous intensity physical activity (MVPA) are mutually exclusive, in that time spent in one behavior inevitably displaces time spent in another. Yet, few studies have simultaneously considered these health behaviors and their association with health-related quality of life (HRQoL), an important indicator of health and well-being in aging populations. This study aimed to explore the role of waking movement behaviors (i.e., SB, LPA, MVPA) in prospectively predicting HRQoL in older adults. The study further aimed to cross-validate associations between movement behaviors and HRQoL using two different device-based measures of behavior placed on unique body positions.</p><p><strong>Methods: </strong>Older adults wore accelerometers on the thigh (ActivPAL micro) and waist (Actigraph GT3X-BT) for 14 days to assess waking movement behaviors. Participants subsequently reported HRQoL on the 36-Item Short Form Health Survey (SF-36) six months later. Compositional linear regression and isotemporal substitution models were used to explore longitudinal relationships between movement behaviors and HRQoL.</p><p><strong>Results: </strong>The movement composition for the sample (N = 202; M_age = 70 years, 72.3% female) consisted of 71-87% SB, 10-26% LPA, and about 3% MVPA depending on the device. For both devices, MVPA was positively associated with Physical Functioning, Pain, and General Health subscales. SB was negatively associated with Physical Functioning, Vitality, Emotional Well-being, and Social Functioning subscales across both devices. LPA generally was not associated with HRQoL indicators. Across both devices, reallocation of between five and 15 min of SB or LPA to MVPA was generally associated with better scores for HRQoL indicators.</p><p><strong>Conclusions: </strong>Movement compositions were for the most part prospectively associated with HRQoL indicators among older adults, which was driven by positive associations for MVPA and negative associations for SB. Findings were generally consistent across devices, however, discrepancies may be attributable to the differences in the data processing algorithms (activity counts vs. cadence based) and device placement locations. Interventions targeting age-related declines in HRQoL should prioritize promoting increased MVPA at the expense of SB to support health and well-being in old age.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"12"},"PeriodicalIF":0.0,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12285076/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144700557","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":"Cross-sectional and longitudinal associations between sleep, sedentary behaviour and physical activity with adiposity and cardio-respiratory fitness in school-aged children: a compositional data analysis.","authors":"Aaron Miatke, Tim Olds, Carol Maher, Francois Fraysse, Dorothea Dumuid","doi":"10.1186/s44167-025-00082-y","DOIUrl":"10.1186/s44167-025-00082-y","url":null,"abstract":"<p><strong>Background: </strong>Time spent in sleep, sedentary behaviour (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) all impact child health. The aim of this study was to investigate cross-sectional and longitudinal associations between time use and adiposity and cardio-respiratory fitness (CRF) in school-aged children.</p><p><strong>Methods: </strong>Cross-sectional (n = 281) and longitudinal (n = 305) data were used from the Life on Holidays study with assessments over three time periods (two consecutive school years, and the interleaving summer holiday period). 24-h time use was measured using wrist-worn accelerometers. Adiposity was assessed as BMI z-score from measured weight and height, using World Health Organization reference data, and from body fat percentage (%BF) measured via bioelectrical impedance. CRF was operationalised as estimated VO₂max from the 20-m shuttle run test. Compositional data analysis in conjunction with linear mixed-effects models was used to investigate the associations between time-use composition and outcomes after controlling for covariates. Cross-sectional models used baseline measures, and longitudinal models used rates of change in each outcome. Sensitivity analyses explored relationships for moderate physical activity (MPA) and vigorous physical activity (VPA) separately.</p><p><strong>Results: </strong>In cross-sectional analyses, time spent in MVPA was favourably associated with all adiposity and fitness outcomes (all p < 0.01) whereas time in LPA was unfavourably associated with all outcomes (all p < 0.01). Sleep was favourably associated with %BF, whereas SB was unfavourably associated (both p = 0.02). In longitudinal models, only MVPA was significantly associated with any of the three outcomes. 30 min/day more time spent in MVPA was associated with a decrease in %BF rate of change (-0.60 to -0.48) when time was reallocated from LPA or SB, and with an increase in VO₂max (+ 0.89 to + 1.01) when time was reallocated from any other behaviour. Sensitivity analyses showed VPA was significantly associated with changes in %BF and VO₂max.</p><p><strong>Conclusions: </strong>All behaviours displayed cross-sectional associations with adiposity and CRF. However, only MVPA (and in particular VPA) was significantly associated with changes in %BF or VO₂max in longitudinal models. Future efforts should focus on increasing participation in MVPA with school-aged children to see the most benefit to health.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 1","pages":"11"},"PeriodicalIF":0.0,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247391/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621510","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}