Journal of activity, sedentary and sleep behaviors最新文献

{"title":"Method for Activity Sleep Harmonization (MASH): a novel method for harmonizing data from two wearable devices to estimate 24-h sleep-wake cycles.","authors":"Erin E Dooley, J F Winkles, Alicia Colvin, Christopher E Kline, Sylvia E Badon, Keith M Diaz, Carrie A Karvonen-Gutierrez, Howard M Kravitz, Barbara Sternfeld, S Justin Thomas, Martica H Hall, Kelley Pettee Gabriel","doi":"10.1186/s44167-023-00017-5","DOIUrl":"10.1186/s44167-023-00017-5","url":null,"abstract":"<p><strong>Background: </strong>Daily 24-h sleep-wake cycles have important implications for health, however researcher preferences in choice and location of wearable devices for behavior measurement can make 24-h cycles difficult to estimate. Further, missing data due to device malfunction, improper initialization, and/or the participant forgetting to wear one or both devices can complicate construction of daily behavioral compositions. The Method for Activity Sleep Harmonization (MASH) is a process that harmonizes data from two different devices using data from women who concurrently wore hip (waking) and wrist (sleep) devices for ≥ 4 days.</p><p><strong>Methods: </strong>MASH was developed using data from 1285 older community-dwelling women (ages: 60-72 years) who concurrently wore a hip-worn ActiGraph GT3X + accelerometer (waking activity) and a wrist-worn Actiwatch 2 device (sleep) for ≥ 4 days (N = 10,123 days) at the same time. MASH is a two-tiered process using (1) scored sleep data (from Actiwatch) or (2) one-dimensional convolutional neural networks (1D CNN) to create predicted wake intervals, reconcile sleep and activity data disagreement, and create day-level night-day-night pairings. MASH chooses between two different 1D CNN models based on data availability (ActiGraph + Actiwatch or ActiGraph-only). MASH was evaluated using Receiver Operating Characteristic (ROC) and Precision-Recall curves and sleep-wake intervals are compared before (pre-harmonization) and after MASH application.</p><p><strong>Results: </strong>MASH 1D CNNs had excellent performance (ActiGraph + Actiwatch ROC-AUC = 0.991 and ActiGraph-only ROC-AUC = 0.983). After exclusions (partial wear [n = 1285], missing sleep data proceeding activity data [n = 269], and < 60 min sleep [n = 9]), 8560 days were used to show the utility of MASH. Of the 8560 days, 46.0% had ≥ 1-min disagreement between the devices or used the 1D CNN for sleep estimates. The MASH waking intervals were corrected (median minutes [IQR]: -27.0 [-115.0, 8.0]) relative to their pre-harmonization estimates. Most correction (-18.0 [-93.0, 2.0] minutes) was due to reducing sedentary behavior. The other waking behaviors were reduced a median (IQR) of -1.0 (-4.0, 1.0) minutes.</p><p><strong>Conclusions: </strong>Implementing MASH to harmonize concurrently worn hip and wrist devices can minimizes data loss and correct for disagreement between devices, ultimately improving accuracy of 24-h compositions necessary for time-use epidemiology.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"2 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492590/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10588059","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 of activity, sedentary, and sleep behaviors with cognitive and social-emotional health in early childhood.","authors":"Christine W St Laurent, Charlotte Lund Rasmussen, Jennifer F Holmes, Amanda Cremone-Caira, Laura B F Kurdziel, Phillip C Desrochers, Rebecca M C Spencer","doi":"10.1186/s44167-023-00016-6","DOIUrl":"10.1186/s44167-023-00016-6","url":null,"abstract":"<p><strong>Background: </strong>Early childhood is important for cognitive and social-emotional development, and a time in which to promote healthy movement behaviors (sedentary behavior, physical activity, and sleep). Movement behaviors may have interactive influences on cognition and social-emotional factors in young children, but most previous research has explored them independently. The purpose of this study was to determine if movement behaviors are associated with measures of cognitive and social-emotional health in young children and if so, to describe optimal compositions of movement behaviors of a daily cycle for such outcomes.</p><p><strong>Methods: </strong>Children (n = 388, 33 to 70 months, 44.6% female) from a clinical trial (ClinicalTrials.gov ID: NCT03285880, first posted September 18, 2017) wore accelerometers on their wrists for 24-h for 9.56 ± 3.3 days. Movement behavior compositions consisted of time spent in sedentary behaviors, light intensity physical activity, moderate to vigorous intensity physical activity (MVPA), and sleep. Outcomes were cognitive (receptive vocabulary, declarative and procedural memory, and executive attention) and social-emotional measures (temperament and behavioral problems). Compositional linear regression models with isometric log ratios were used to investigate the relations between the movement behavior composition and the cognitive and social-emotional health measures. If a significant association was found between the composition and an outcome, we further explored the \"optimal\" 24-h time-use for said outcome.</p><p><strong>Results: </strong>Movement behavior compositions were associated with receptive vocabulary. The composition associated with the predicted top five percent of vocabulary scores consisted of 12.1 h of sleep, 4.7 h of sedentary time, 5.6 h of light physical activity, and 1.7 h of MVPA.</p><p><strong>Conclusions: </strong>While behavior compositions are related to vocabulary ability in early childhood, our findings align with the inconclusiveness of the current evidence regarding other developmental outcomes. Future research exploring activities within these four movement behaviors, that are meaningful to cognitive and social-emotional development, may be warranted.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1186/s44167-023-00016-6.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"2 1","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11116218/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41806465","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":"A public health milestone: China publishes new Physical Activity and Sedentary Behaviour Guidelines.","authors":"Sitong Chen, Jiani Ma, Jintao Hong, Cheng Chen, Yanxiang Yang, Zhen Yang, Peixuan Zheng, Yiling Tang","doi":"10.1186/s44167-022-00009-x","DOIUrl":"10.1186/s44167-022-00009-x","url":null,"abstract":"<p><p>Physical inactivity has long been a global public health issue. In response to this, China published new Physical Activity and Sedentary Behaviour Guidelines for Chinese People in 2021 (PASBG 2021). This is a milestone in China's public health, behavioural epidemiology and an important contribution to the Healthy China 2030 initiative. This commentary summarises the contents and highlighted the significance of the new guidelines. The new Chinese PASBG provide foundations for population-based estimates of healthy behaviours, strategies addressing physical inactivity and messages designed to encourage people to be more active. While the contents of the PASBG 2021 are mostly consistent with the World Health Organisation physical activity guidelines, it is unclear on what evidence they are based, and whether this included research in Chinese people. Physical activity research in China is very limited and it is urgently needed to advance national-based physical activity research in China in accordance with the behavioural epidemiology framework. The development of new PASBG is only the first step, now it is what is done to communicate and disseminate, provide opportunities and supportive environments that will make a difference to physical activity levels in China. As such, we hope the PASBG 2021 will not only become a document for educating Chinese people to move more, but also an impetus for improving population health research.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":"9"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960238/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42412785","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":"A 12-week consumer wearable activity tracker-based intervention reduces sedentary behaviour and improves cardiometabolic health in free-living sedentary adults: a randomised controlled trial.","authors":"Wouter M A Franssen, Ine Nieste, Frank Vandereyt, Hans H C M Savelberg, Bert O Eijnde","doi":"10.1186/s44167-022-00007-z","DOIUrl":"10.1186/s44167-022-00007-z","url":null,"abstract":"<p><strong>Background: </strong>Reducing sedentary behaviour significantly improves cardiometabolic health and plays an important role in the prevention and management of cardiometabolic diseases. However, limited effective strategies have been proposed to combat the negative effects of sedentary lifestyles. Although consumer wearable activity trackers (CWATs) can effectively improve physical activity, they were only included as part of a multiple behaviour change technique. In addition, it is not known whether these devices are also effective to reduce sedentary behaviour. Therefore, we aim to investigate the efficacy of a single component CWAT-only intervention and the added value of a multicomponent (CWATs + motivational interviewing) behaviour change intervention to reduce sedentary behaviour and increase physical activity within sedentary adults.</p><p><strong>Methods: </strong>In a three-armed randomised controlled trial, 59 (male/female: 21/38) sedentary adults were randomly allocated to a control group (n = 20), a CWAT-only group (n = 20) or the CWAT + group (CWAT + motivational interviewing; n = 19) for 12 weeks. Physical activity and sedentary behaviour were assessed using the activPAL3™ accelerometer. In addition, anthropometrics, blood pressure, plasma lipids and insulin sensitivity using an oral glucose tolerance test were assessed at baseline and after the 12-week intervention period.</p><p><strong>Results: </strong>As compared with the control group, the CWAT + group significantly reduced time spent in sedentary behaviour (- 81 min/day, confidence interval [95%]: [- 151, - 12] min/day) and significantly increased step count (+ 3117 [827, 5406] steps/day), standing time (+ 62 [14, 110] min/day), light intensity PA (+ 28 [5, 50] min/day) and moderate-to-vigorous PA (+ 22 [4, 40] min/day). Body fat mass (- 1.67 [- 3.21, - 0.14] kg), percentage body fat (- 1.5 [- 2.9, - 0.1] %), triglyceride concentration (- 0.31 [- 0.62, - 0.01] mmol/l), the 2 h insulin concentration (- 181 [- 409, - 46] pmol/l), the quantitative insulin sensitivity check index (- 0.022 [- 0.043, - 0.008]) and total area under the curve of insulin (- 6464 [- 26837, - 2735] mmol/l min) were significantly reduced in the CWAT + group, compared to the control group. No significant differences within the CWAT-only group were found.</p><p><strong>Conclusion: </strong>A 12-week multicomponent CWAT-based intervention (CWAT + motivational interviewing) reduces sedentary time, increases physical activity levels and improves various cardiometabolic health variables in sedentary adults, whereas self-monitoring on itself (CWAT-only group) has no beneficial effects on sedentary time. Trial registration The present study was registered (2018) at clinicaltrials.gov as NCT03853018.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":"8"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960220/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45532099","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":"Prevalence of knowledge on maternal physical activity among pregnant women: a protocol for a systematic review.","authors":"Madhawa Perera, Kumara Dissanayake, Lalith Senarathna","doi":"10.1186/s44167-022-00006-0","DOIUrl":"10.1186/s44167-022-00006-0","url":null,"abstract":"<p><strong>Background: </strong>Maternal physical activity is beneficial to pregnant women, fetus and newborns. Evidence suggests that the level of physical activity in this group is not up to the expectation around the world. Lack of knowledge on the benefits of physical activity during pregnancy and not being aware of the recommendations are major reasons for this situation. Although individual studies have reported various levels of knowledge on maternal physical activity in different populations, no studies have systematically reviewed the literature to provide global evidence on the topic that is useful in initiating multinational approaches to improve maternal physical activity. The proposed study aims to systematically review prevalence of knowledge on maternal physical activity among pregnant women in different regions in the world.</p><p><strong>Methods: </strong>The proposed systematic review is designed according to the guidelines for conducting systematic reviews of prevalence and will be reported following the recommendations in the PRISMA statement. Quantitative cross-sectional, descriptive and observational studies published from year 2000 to 2022 will be included in the review. PubMed, Scopus, CINAHL, Embase, SPORTDiscus and Web of Science Core Collections will be searched using keywords relevant to physical activity, pregnant women and knowledge. Grey literature on the topic will be located through searching grey information sources, hand searching of reference lists and communicating with experts in the field. Screening of search results, selection and quality assessment of studies and data extraction will be independently performed by two reviewers. Assistance of a third reviewer will be sought to resolve any disagreement during the selection and quality assessment steps. After appraising the quality and consistency of selected studies, a premade data collection form will be used for data extraction. Narrative synthesis approach will be used in this review to analyze the evidence in primary studies.</p><p><strong>Discussion: </strong>The proposed review will summarize evidence on the level of knowledge on maternal physical activity among pregnant women in different populations and delineate interregional discrepancies. The study will locate high priority regions with poor knowledge and identify elements of knowledge that needs attention.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11934496/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45251080","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":"Many different roads lead to Rome: equivalence of time-use for activity, sedentary and sleep behaviours and dietary intake profiles among adolescents.","authors":"Dorothea Dumuid, Maddison L Mellow, Tyman E Stanford, Kar Hau Chong, Susan M Sawyer, Ashleigh E Smith, Charlotte Lund Rasmussen, Alexandra Wade, Timothy Olds","doi":"10.1186/s44167-022-00005-1","DOIUrl":"10.1186/s44167-022-00005-1","url":null,"abstract":"<p><strong>Background: </strong>How we spend our time and what we eat have important implications for our health. Evidence suggests that health-equivalent behaviour change options which result in the same benefit are available within both time use (physical activities, sedentary behaviours and sleep) and diet (e.g., fruit and vegetables, snack foods). However, it is not yet known if health-equivalent choices exist across both time-use and diet behaviours. This study aimed to explore if a variety of different time-use and dietary profiles were associated with equivalent physical functioning score among adolescents.</p><p><strong>Methods: </strong>This study used cross-sectional data from 2123 adolescent participants from the Longitudinal Study of Australian Children (LSAC) (mean age = 14.4 ± 0.5 years), including time-use diaries (min/day of sleep, self-care, screen time, quiet time, physical activity, school-related and domestic/social), diet questionnaires (serves/day of fruit and vegetables, discretionary (snack) foods and sugar-sweetened beverages) and a measure of physical functioning (PedsQL™ 4.0 physical functioning scale for teens). Multiple linear regression models were used to find the association of 24-h time-use composition (expressed as isometric log ratios) and dietary variables with physical functioning score. The models were used to estimate which time-use and diet profiles (within a feasible range from the sample average) were associated with equivalent physical functioning scores. Finally, an interactive app was developed to make the results accessible to end users.</p><p><strong>Results: </strong>Within 30 min and 1.5 servings of the average adolescent's time-use and dietary behaviours, 45 equivalent options were associated with a ~ 0.2 SD improvement in physical functioning scale. All options associated with this improvement in physical function involved increasing physical activity and increasing fruit and vegetable intake, whilst also reducing discretionary food intake and sugar-sweetened beverages. Most behavioural options also increased sleep and reduced time spent in self-care, screen time and quiet time activities.</p><p><strong>Conclusions: </strong>There are a range of time-use and diet profiles that may result in equivalent benefits in physical functioning among adolescents. Communicating these options using decision tools such as interactive apps may allow for tailored interventions across both time use and diet which are based on an individual's needs, preferences and constraints.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":"6"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11934514/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47280803","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 behaviours, breakfast consumption, and fruit and vegetable intake among adolescents.","authors":"Hugues Sampasa-Kanyinga, Hayley A Hamilton, Jean-Philippe Chaput","doi":"10.1186/s44167-022-00001-5","DOIUrl":"10.1186/s44167-022-00001-5","url":null,"abstract":"<p><strong>Background: </strong>It is recommended that children and adolescents spend ≥ 60 min per day of moderate-to-vigorous physical activity, ≤ 2 h per day of recreational screen time, and 9-11 h of sleep per night for school-aged children or 8-10 h per night for adolescents. The objective of this study was to examine the associations of compliance with physical activity, screen time, and sleep duration recommendations with the frequencies of breakfast consumption and fruit and vegetable intake among adolescents.</p><p><strong>Methods: </strong>Data from a cross-sectional and province-wide survey of students in grades 7-12 in Ontario (Canada) were used for this analysis (n = 12,759 students; 15.2 ± 1.8 years; 56% females). Movement behaviours and eating habits were self-reported. Multivariable ordered logistic regression analyses were adjusted for age, sex, ethnoracial background, subjective socioeconomic status, and body mass index z-score.</p><p><strong>Results: </strong>Compliance with all three recommendations was associated with more frequent breakfast consumption (OR: 2.77; 95% CI: 2.17-3.55) and fruit and vegetable intake (OR: 2.95; 95% CI: 2.41-3.62) compared with compliance with none of the recommendations. Compliance with the different combinations of recommendations was also associated with more frequent breakfast consumption and fruit and vegetable intake, with some exceptions. There was a dose-response gradient between the number of recommendations met (3 > 2 > 1) and more frequent breakfast consumption (p < 0.001) and fruit and vegetable intake (p < 0.001), with compliance with all three recommendations being the best combination.</p><p><strong>Conclusions: </strong>These findings suggest that compliance with the physical activity, screen time, and sleep duration recommendations is associated with more frequent breakfast consumption and fruit and vegetable intake among adolescents.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11934659/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47506620","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 meeting the Canadian 24-hour movement guidelines and physical, cognitive, social-emotional, and overall development in early childhood.","authors":"Nicholas Kuzik, John C Spence, Kevin Arkko, Clara-Jane Blye, Jenna Davie, Ria Duddridge, Tyler Ekeli, April English, Evelyn Etruw, Stephen Hunter, Carminda Goersch Lamboglia, Autumn Nesdoly, Madison Predy, Rebecca Rubuliak, Brendan Wohlers, Kelsey Wright, Valerie Carson","doi":"10.1186/s44167-022-00002-4","DOIUrl":"10.1186/s44167-022-00002-4","url":null,"abstract":"<p><strong>Background: </strong>The importance of all movement behaviours (i.e., sleep, sedentary behaviour, and physical activity) for children's health has led to the creation of national and international 24-h movement behaviour guidelines for children. Few studies have examined the associations between guideline adherence and a broad array of health indicators in early childhood, and no study has done so with composite development scores for overall development. The objective of the present study was to examine associations for 24-h movement guideline adherence with physical, cognitive, social-emotional, and overall development indicators in a sample of 3-5-year-olds.</p><p><strong>Methods: </strong>Children (n = 95) were recruited for this cross-sectional study in Edmonton, Canada. Sleep, light-intensity physical activity, and moderate- to vigorous-intensity physical activity were measured with ActiGraph wGT3X-BT accelerometers. Screen time was measured via parental-report. Guideline recommendation adherence was categorized using the Canadian 24-h Movement Guidelines. Composite z-scores were created for physical (i.e., adiposity, growth, motor skills), cognitive (i.e., vocabulary, executive functions), social-emotional (i.e., self-regulation, social-emotional behaviours), and overall development. Linear regression models were conducted to examine associations between meeting different recommendation combinations (e.g., physical activity alone, combination of physical activity and sleep), and number of recommendations met (e.g., meeting only one of any of the recommendations) with each composite development outcome variable adjusted for relevant covariates.</p><p><strong>Results: </strong>Most children were 3-4 years old (77%) and males (69%). The physical activity guideline recommendation was the most frequently met single recommendation (94%), while the physical activity and sleep recommendations (80%) were the most frequently met combination of two recommendations. Further, 43% of children met all three recommendations. Meeting the sleep recommendation was positively associated with overall development (B: 0.29; 95% CI: 0.08-0.50), while meeting both the sleep and physical activity recommendations was positively associated with overall (B: 0.28; 95% CI: 0.10-0.46) and physical (B: 0.27; 95% CI: 0.03-0.51) development.</p><p><strong>Conclusions: </strong>Meeting sleep recommendations alone, as well as the combination of sleep and physical activity recommendations were associated with better physical and overall development in this sample. Future research should continue to examine a broad array of development outcomes using longitudinal study designs across early childhood.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11934447/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46003479","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 associations between 24-hour activity behaviours and motor competence in youth: a compositional data analysis.","authors":"Richard Tyler, Andrew J Atkin, Jack R Dainty, Dorothea Dumuid, Stuart J Fairclough","doi":"10.1186/s44167-022-00003-3","DOIUrl":"10.1186/s44167-022-00003-3","url":null,"abstract":"<p><strong>Background: </strong>The study aimed to examine the cross-sectional associations between 24-h activity compositions and motor competence in children and adolescents, while stratifying by sex and school type (primary or secondary school) and estimate differences in motor competence associated with reallocations of time between activity behaviours.</p><p><strong>Methods: </strong>Data were collected from 359 participants (aged 11.5 ± 1.4 years; 49.3% boys; 96.9% White British). Seven-day 24-h activity behaviours [sleep, sedentary time, light physical activity (LPA), moderate-to-vigorous physical activity (MVPA)] were assessed using wrist-worn accelerometers. Motor competence outcomes were obtained using the Dragon Challenge (process, product, time, and overall scores). Linear mixed models examined associations between activity behaviour compositions and motor competence outcomes for all participants and stratified by school type (primary or secondary) and sex. Post-hoc analyses modelled the associations of reallocating fixed durations of time between activity behaviours with the outcomes.</p><p><strong>Results: </strong>In all participants, relative to other activity behaviours, MVPA had the strongest associations with motor competence outcomes. Time reallocations (5, 10, 15, 20 min) to MVPA from any of the other three behaviours were associated with higher overall, process, and time scores [effect sizes (ES) = 0.05-0.07 (5 min) and 0.19-0.27 (20 min)]. The stratified models displayed that MVPA had the strongest associations with outcomes in both sexes, irrespective of school type. The largest positive, and negative estimated differences occurred when MVPA hypothetically replaced LPA or sleep [ES = 0.04-0.10 (5 min) and 0.14-0.39 (20 min)], and when LPA or sleep hypothetically replaced MVPA [ES = - 0.03 to - 0.11 (5 min) and - 0.13 to - 0.54 (20 min)], respectively.</p><p><strong>Conclusions: </strong>Relative to other activity behaviours, MVPA had the strongest association overall with motor competence outcomes. Hypothetical reallocations of time from LPA or sleep to MVPA (and vice versa) were associated with the largest positive estimated differences in motor competence outcomes. Therefore, our findings reinforce the key role of MVPA for children's and adolescents' motor competence.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"1 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11934481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41989380","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":"A journal dedicated to studying the combined effects of activity, sedentary and sleep behaviours.","authors":"Corneel Vandelanotte","doi":"10.1186/s44167-022-00008-y","DOIUrl":"10.1186/s44167-022-00008-y","url":null,"abstract":"","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" ","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960388/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42540162","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}