Journal of activity, sedentary and sleep behaviors最新文献

{"title":"Adherence to the WHO physical activity, screen time and sleep guidelines and associations with socio-demographic factors among Ethiopian preschool children: The SUNRISE study.","authors":"Chalchisa Abdeta, Dylan Cliff, Katharina Kariippanon, Alem Deksisa, Sileshi Garoma, Debrework Tesfaye, Kar Hau Chong, Devan Antczak, Anthony D Okely","doi":"10.1186/s44167-024-00060-w","DOIUrl":"https://doi.org/10.1186/s44167-024-00060-w","url":null,"abstract":"<p><strong>Background: </strong>The World Health Organisation (WHO) has called for more evidence on 24-hour movement behaviours from low- and middle-income countries. We examined the proportion of Ethiopian children aged 3.0-4.9 years who met the WHO guidelines on physical activity, screen time and sleep for children under the age of five, and the associations between meeting the guidelines and socio-demographic factors.</p><p><strong>Methods: </strong>A cross-sectional study was conducted in Adama and Lume district, Ethiopia. Children were recruited through kindergartens in Adama city and rural villages of Lume district, Ethiopia. Physical activity and sleep were measured using ActiGraph accelerometer. Screen time and restrained sitting were parent-reported. Multivariable logistic regression models tested associations between meeting the individual and combined WHO guidelines and socio-demographic factors.</p><p><strong>Results: </strong>A total of 430 children participated in the study (mean age 4.2 ± 0.6 years). More than half the children (58.0%) met all the WHO guidelines. A higher proportion met the physical activity (96.1%) and sleep guidelines (91.9%) compared to the screen time guideline (63.5%). Children who lived in rural areas were more likely to meet the screen time (84.6% vs. 38.2%, AOR = 7.31; 95%CI: 3.93, 14.02), sleep (98.6% vs. 83.8%, AOR = 8.60; 95%CI: 3.55, 23.73) and combined (81.3% vs. 30.1%, AOR = 7.41; 95%CI: 4.04, 13.97) guidelines than those who lived in urban areas.</p><p><strong>Conclusions: </strong>Children from rural Ethiopia were more compliant with the WHO guidelines than their urban counterparts. Strategies to reduce screen time and promote healthy movement behaviours in urban areas are needed. Further studies with a larger representative sample might provide better insight across the regions within the country.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"22"},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960389/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Igbo version of the Global Physical Activity Questionnaire (GPAQ)- A cross-cultural adaptation study.","authors":"Ifeoma Uchenna Onwuakagba, Sochima Johnmark Obiekwe, Emmanuel Chiebuka Okoye, Favour Chidera Kanu, Ifeoma Adaigwe Amaechi, Christopher Olusanjo Akosile","doi":"10.1186/s44167-024-00061-9","DOIUrl":"https://doi.org/10.1186/s44167-024-00061-9","url":null,"abstract":"<p><strong>Background: </strong>Physical activity (PA) plays a critical role in preventing non-communicable diseases, and maintaining the overall health and well-being of adults. PA surveillance has become a global concern leading to the development of numerous surveys for its measurement. Global Physical Activity Questionnaire (GPAQ) merges the advantages of both the short and long versions of the International Physical Activity Questionnaire (IPAQ) by incorporating various domains (work, transport, and leisure time), while still maintaining a significantly shorter length. This study aimed to cross-culturally adapt the original English version of GPAQ to the Igbo culture and environment.</p><p><strong>Methods: </strong>The original version of GPAQ (GPAQ) was translated, synthesized, back-translated, and subjected to expert panel review before producing the final Igbo version of the GPAQ (GPAQ-I). The GPAQ and GPAQ-I were administered to 155 community-dwelling adults (36.1% males and 63.9% females) living in Nnewi who were recruited consecutively. The data obtained was analyzed using frequency counts, percentages, mean, standard deviations, Spearman rank order test, and Mann-Whitney U test with p-value set at 0.05.</p><p><strong>Results: </strong>There was no significant difference in the scores on the English and Igbo versions of the GPAQ (p < 0.001). The correlations between the corresponding domains and total scores on both versions of the GPAQ (rho = 1.0)showed excellent concurrent agreement.</p><p><strong>Conclusion: </strong>The successfully adapted GPAQ-I demonstrated a strong agreement with the original English version. Further psychometric testing is required to fully establish its internal consistency, reliability, and validity.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"20"},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960286/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058266","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":"Examining physical activity clustering using machine learning revealed a diversity of 24-hour step-counting patterns.","authors":"Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, Ryoichi Nagatomi","doi":"10.1186/s44167-024-00059-3","DOIUrl":"https://doi.org/10.1186/s44167-024-00059-3","url":null,"abstract":"<p><strong>Background: </strong>Physical activity is a crucial aspect of health benefits in the public society. Although studies on the temporal physical activity patterns might lead to the protocol for efficient intervention/program, a standardized procedure to determine and analyze the temporal physical activity patterns remains to be developed. Here, we attempted to develop a procedure to cluster 24-hour patterns of physical activity as step counts measured with an accelerometer-based wearable sensor.</p><p><strong>Methods: </strong>The 1 Hz step count data was collected by a hip-worn triaxial accelerometer from 42 healthy participants, comprising 35 males and 7 females, at the Sendai Oroshisho center in 2008. This is a cross sectional study using unsupervised machine learning, specifically the kernel k-means algorithm with the global alignment kernel was applied on a total of 815 days from 42 participants, and 6 activity patterns were identified. Further, the probability of each 24-hour step-counting pattern was calculated for every participant and used for spectral clustering of step-behavioral patterns.</p><p><strong>Results: </strong>We could identify six 24-hour step-counting patterns and five daily step-behavioral clusters. We could further identify five step-behavioral clusters, all-day dominant (21 participants), all-day + bi-phasic dominant (8 participants), bi-phasic dominant (6 participants), all-day + evening dominant (4 participants), and morning dominant (3 participants). When the amount of physical activity was categorized into tertile groups reflecting highly active, moderately active, and low active, each tertile group consisted of different proportions of six 24-hour step-counting patterns CONCLUSIONS: Our study introduces a novel approach using an unsupervised machine learning method to categorize daily hourly activity, revealing six distinct step counting patterns and five clusters representing daily step behaviors. Our procedure would be reliable for finding and clustering physical activity patterns/behaviors and reveal diversity in the categorization by a traditional tertile procedure using total step amount.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"19"},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058760","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 oral health indictors in children and adolescents: a cross-sectional analysis.","authors":"Ryan D Burns, Hayley Almes, You Fu","doi":"10.1186/s44167-024-00057-5","DOIUrl":"https://doi.org/10.1186/s44167-024-00057-5","url":null,"abstract":"<p><strong>Background: </strong>The purpose of this study was to examine the associations of physical activity (PA), recreational screen time, and sleep with indicators of poor oral health in youth.</p><p><strong>Methods: </strong>Participants were children and adolescents whose parents completed the 2022 National Survey of Children's Health (N = 34,342; 49% female; Mean age = 11.9 +/- 3.5 years). The dependent variables were three binary response items that indicated the presence of toothaches, bleeding gums, and cavities within the previous 12 months. Independent variables were three items indicating the weekly frequency of 60 min of PA, hours of recreational screen time, and hours of weeknight sleep. Relationships between variables were examined using double-selection logistic regression with demographic, dietary, oral hygiene, and dental service covariates selected using the plug-in method of the least absolute shrinkage and selection operator.</p><p><strong>Results: </strong>Compared to zero days of PA, 4-6 days of PA per week was associated with 30% lower odds of bleeding gums (p = 0.021). Compared to less than 1 h of recreational screen time, 2 h or more hours of recreational screen time were associated with a 1.26 to 1.62 times higher odds of cavities (p < 0.01). Compared to 5 h or less of sleep, 7 to 10 h of sleep was associated with 47-61% lower odds of bleeding gums and 31-47% lower odds of cavities (p < 0.01). Secondary analyses indicated that at least 2 of the movement behavior recommendations had to have been adhered to for positive associations with indicators of oral health to be observed. For toothaches, bleeding gums, and cavities, meeting 2 or 3 recommendations was associated with lower odds of poor oral health; whereas adhering to only one recommendation was not.</p><p><strong>Conclusion: </strong>Children with higher PA and sleep durations had improved oral health indicators and children with longer periods of screen time exposure had poorer oral health indicators. Our findings recommend adhering to multiple movement behavior recommendations to achieve improvements in oral health indicators.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"18"},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960395/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The association of adherence to 24-hour movement guidelines with frailty and mortality: cross-sectional and longitudinal analyses of NHANES data","authors":"Daniel J. Meister, D. S. Kehler, D. Bouchard, Amy M. Thomson, M. Sénéchal","doi":"10.1186/s44167-024-00056-6","DOIUrl":"https://doi.org/10.1186/s44167-024-00056-6","url":null,"abstract":"","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of activity, sedentary and sleep behaviors with prevalent steatotic liver disease in middle-aged and older adults: the ELSA-Brasil study","authors":"Danilo de Paula, N. Feter, R. C. P. Dos Reis, R. Griep, B. Duncan, Maria Inês Schmidt","doi":"10.1186/s44167-024-00055-7","DOIUrl":"https://doi.org/10.1186/s44167-024-00055-7","url":null,"abstract":"","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"12 s3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141837938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The sleep and activity database for the early years (SADEY) study: design and methods.","authors":"Dylan P Cliff, Devan Antczak, Catherine E Draper, Timothy Olds, Rute Santos, Diego Augusto Santos Silva, Mark S Tremblay, Esther M F van Sluijs, Byron Kemp, Eivind Aadland, Katrine Aadland, Thayna Alves Bezerra, Jade Burley, Valerie Carson, Hayley E Christian, Marieke De Craemer, Katherine Downing, Kylie D Hesketh, Rachel A Jones, Nicholas Kuzik, Reetta Lehto, Clarice Martins, Jorge Mota, Andrea Nathan, Anthony D Okely, Eva Roos, Eduarda Sousa-Sá, Susana Vale, Sandra Wiebe, Ian Janssen","doi":"10.1186/s44167-024-00054-8","DOIUrl":"https://doi.org/10.1186/s44167-024-00054-8","url":null,"abstract":"<p><strong>Background: </strong>Canada, Australia, the World Health Organization and other countries have released 24-hour movement guidelines for the early years which integrate physical activity, sedentary behaviour, and sleep, focusing on supporting children to achieve a healthy 24-hour day. The guideline evidence synthesis, however, highlighted the dearth of high-quality evidence, particularly from large-scale studies. The Sleep and Activity Database for the Early Years (SADEY) project aims to assemble a large, pooled database of 24-hour movement behaviours and health indicators in young children (birth to 5.99 years), to advance knowledge in these areas. This paper describes the SADEY design and methods.</p><p><strong>Methods: </strong>Data sets were identified with > 100 children and device-measured (hip-worn ActiGraph accelerometers) physical activity and sedentary behaviour, parent-reported or device-measured sleep, and at least one health outcome: physical (BMI, waist circumference, blood pressure), social-emotional (Strength and Difficulties Questionnaire), cognitive (Early Years Toolbox), or motor development (Test of Gross Motor Development 2). Led by the University of Wollongong co-ordinating centre, the SADEY project collates the datasets to create a pooled database.</p><p><strong>Findings: </strong>To date, 13 studies from 7 countries have been included in the database. Ethics clearance and data sharing agreements have been secured for all studies and the SADEY 1.0 database is being assembled including ~ 8,000 participants.</p><p><strong>Discussion: </strong>SADEY will be used to address questions of global importance to public health policy and practice, for example - Is the mix of movement behaviours across the 24-hour day associated with healthy development?, What is the optimal mix of these behaviours?, and; What factors can be targeted to support young children in achieving the optimal mix of 24-hour movement behaviours? Additionally, SADEY seeks to develop and disseminate protocols, develop capacity on the device-based measurement of movement behaviours, and seeks partnerships with stakeholders that promote knowledge translation on movement behaviours to support healthy development among young children.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"15"},"PeriodicalIF":0.0,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144036265","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":"Charting the cascade of physical activities: implications for reducing sitting time and obesity in children","authors":"S. Esmaeilzadeh, P. Hakala, Päivi Berg, Jo Salmon, Tiina E. Rinne, A. Pesola","doi":"10.1186/s44167-024-00053-9","DOIUrl":"https://doi.org/10.1186/s44167-024-00053-9","url":null,"abstract":"","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"54 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141349650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An ecological view on the correlates of sedentary behavior in Brazilian adolescents: a cross-sectional study with network analysis","authors":"José Ywgne, Leonardo G. O. Luz, M. Thuany, Cayo Lima, Raphael Araujo, Ellen Silva, K. Magalhães, P. Bandeira, Danilo R. Silva","doi":"10.1186/s44167-024-00052-w","DOIUrl":"https://doi.org/10.1186/s44167-024-00052-w","url":null,"abstract":"","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"4 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141105440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physical activity, sedentary behaviour, and sleep knowledge and self-efficacy among parents of young children in Canada","authors":"Brianne A. Bruijns, Matthew Bourke, Kendall Saravanamuttoo, Patricia Tucker","doi":"10.1186/s44167-024-00051-x","DOIUrl":"https://doi.org/10.1186/s44167-024-00051-x","url":null,"abstract":"","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"81 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140964468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}