{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T20:15:00Z","timestamp":1775420100212,"version":"3.50.1"},"reference-count":226,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T00:00:00Z","timestamp":1741824000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T00:00:00Z","timestamp":1741824000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UI\/BD\/150675\/2020"],"award-info":[{"award-number":["UI\/BD\/150675\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UIDP\/00317\/2020"],"award-info":[{"award-number":["UIDP\/00317\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["FCT\/UIDB\/00617\/2020"],"award-info":[{"award-number":["FCT\/UIDB\/00617\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["LA\/P\/0064\/2020"],"award-info":[{"award-number":["LA\/P\/0064\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["PTDC\/SAU-DES\/0166\/2021"],"award-info":[{"award-number":["PTDC\/SAU-DES\/0166\/2021"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["CEECIND\/01089\/2017"],"award-info":[{"award-number":["CEECIND\/01089\/2017"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sports Med - Open"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>There are no reviews describing current measurement protocols and accelerometer processing decisions that are being used in 24-h MovBeh studies, across the lifespan. We aim to synthesise information on methods for assessing 24-h movement behaviors using accelerometry across all age groups.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Main Body<\/jats:title>\n            <jats:p>PubMed, PsycINFO, SPORTDiscus, and EMBASE were searched until December 2022. Observational or intervention reports describing accelerometry methods in studies on combinations of movement behaviors, with a 24-h protocol across all ages, were included. This review included 102 studies: three studies in toddlers, 15 in preschoolers, 17 in children, 23 in adolescents and 44 in adults and older adults. The Actigraph GT3X was the most commonly used device; the majority of the included reports collected data for seven days, including three weekdays and one weekend day, with a\u2009\u2265\u200916\u00a0h\/day per 24-h period for valid data. The criteria for non-wear time varied between\u2009\u2265\u200920 and \u2009\u2265\u200990\u00a0min of consecutive zero counts, depending on the age group. The most common epoch used was 15 or 60\u00a0s for youth and adults, respectively. The choice of sleep algorithms and SB\/PA cut-points, of the included reports, depended on age and the original validation\/calibration study. To deal with non-compliant participants, exclusion of non-compliant participants from the analysis was most frequently used. Most studies used diaries\/logs to complement the accelerometer data.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>Accelerometer protocols and methodological decisions varied considerably between reports. Therefore, consensus on methodological decisions is needed to improve precision and comparability between studies, which is challenging given the complexity of the procedures, the number of available brands and types of accelerometers, and the plethora of programming options.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/s40798-025-00820-1","type":"journal-article","created":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T11:49:18Z","timestamp":1741866558000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Methodological Choices on 24-h Movement Behavior Assessment by Accelerometry: A Scoping Review"],"prefix":"10.1186","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7377-2488","authenticated-orcid":false,"given":"Bruno","family":"Rodrigues","sequence":"first","affiliation":[]},{"given":"Ant\u00f3nio","family":"Videira-Silva","sequence":"additional","affiliation":[]},{"given":"Lu\u00eds","family":"Lopes","sequence":"additional","affiliation":[]},{"given":"Eduarda","family":"Sousa-S\u00e1","sequence":"additional","affiliation":[]},{"given":"Susana","family":"Vale","sequence":"additional","affiliation":[]},{"given":"Dylan P.","family":"Cliff","sequence":"additional","affiliation":[]},{"given":"Romeu","family":"Mendes","sequence":"additional","affiliation":[]},{"given":"Rute","family":"Santos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,13]]},"reference":[{"issue":"2","key":"820_CR1","doi-asserted-by":"crossref","first-page":"252","DOI":"10.26582\/k.49.2.14","volume":"49","author":"\u017d Pedi\u0161i\u0107","year":"2017","unstructured":"Pedi\u0161i\u0107 \u017d, Dumuid D, Olds TS. Integrating sleep, sedentary behaviour, and physical activity research in the emerging field of time-use epidemiology: definitions, concepts, statistical methods, theoretical framework, and future directions. Kinesiology. 2017;49(2):252\u201369.","journal-title":"Kinesiology"},{"issue":"6","key":"820_CR2","doi-asserted-by":"publisher","first-page":"S294","DOI":"10.1139\/apnm-2016-0026","volume":"41","author":"V Carson","year":"2016","unstructured":"Carson V, Tremblay MS, Chaput J-P, Chastin SF. Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses. Appl Physiol Nutr Metab. 2016;41(6):S294\u2013302.","journal-title":"Appl Physiol Nutr Metab"},{"key":"820_CR3","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.ypmed.2016.12.005","volume":"95","author":"V Carson","year":"2017","unstructured":"Carson V, Chaput J-P, Janssen I, Tremblay MS. Health associations with meeting new 24-hour movement guidelines for Canadian children and youth. Prev Med. 2017;95:7\u201313.","journal-title":"Prev Med"},{"issue":"6","key":"820_CR4","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1016\/j.jshs.2020.07.004","volume":"9","author":"S Rollo","year":"2020","unstructured":"Rollo S, Antsygina O, Tremblay MS. The whole day matters: understanding 24-hour movement guideline adherence and relationships with health indicators across the lifespan. J Sport Health Sci. 2020;9(6):493\u2013510.","journal-title":"J Sport Health Sci"},{"key":"820_CR5","doi-asserted-by":"publisher","first-page":"S248","DOI":"10.1139\/apnm-2020-0160","volume":"45","author":"I Janssen","year":"2020","unstructured":"Janssen I, Clarke AE, Carson V, Chaput J-P, Giangregorio LM, Kho ME, et al. A systematic review of compositional data analysis studies examining associations between sleep, sedentary behaviour, and physical activity with health outcomes in adults. Appl Physiol Nutr Metab. 2020;45:S248\u201357.","journal-title":"Appl Physiol Nutr Metab"},{"issue":"10051","key":"820_CR6","doi-asserted-by":"publisher","first-page":"1302","DOI":"10.1016\/S0140-6736(16)30370-1","volume":"388","author":"U Ekelund","year":"2016","unstructured":"Ekelund U, Steene-Johannessen J, Brown WJ, Fagerland MW, Owen N, Powell KE, et al. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet. 2016;388(10051):1302\u201310.","journal-title":"Lancet"},{"issue":"5","key":"820_CR7","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1186\/s12889-017-4867-6","volume":"17","author":"AD Okely","year":"2017","unstructured":"Okely AD, Ghersi D, Hesketh KD, Santos R, Loughran SP, Cliff DP, et al. A collaborative approach to adopting\/adapting guidelines-the Australian 24-hour movement guidelines for the early years (birth to 5 years): an integration of physical activity, sedentary behavior, and sleep. BMC Public Health. 2017;17(5):869.","journal-title":"BMC Public Health"},{"issue":"6","key":"820_CR8","doi-asserted-by":"publisher","first-page":"S311","DOI":"10.1139\/apnm-2016-0151","volume":"41","author":"MS Tremblay","year":"2016","unstructured":"Tremblay MS, Carson V, Chaput J-P, Connor Gorber S, Dinh T, Duggan M, et al. Canadian 24-hour movement guidelines for children and youth: an integration of physical activity, sedentary behaviour, and sleep. Appl Physiol Nutr Metab. 2016;41(6):S311\u201327.","journal-title":"Appl Physiol Nutr Metab"},{"issue":"5","key":"820_CR9","doi-asserted-by":"publisher","first-page":"874","DOI":"10.1186\/s12889-017-4859-6","volume":"17","author":"MS Tremblay","year":"2017","unstructured":"Tremblay MS, Chaput J-P, Adamo KB, Aubert S, Barnes JD, Choquette L, et al. Canadian 24-hour movement guidelines for the early years (0\u20134 years): an integration of physical activity, sedentary behaviour, and sleep. BMC Public Health. 2017;17(5):874.","journal-title":"BMC Public Health"},{"key":"820_CR10","doi-asserted-by":"publisher","first-page":"S57","DOI":"10.1139\/apnm-2020-0467","volume":"45","author":"R Ross","year":"2020","unstructured":"Ross R, Chaput J-P, Giangregorio LM, Janssen I, Saunders TJ, Kho ME, et al. Canadian 24-hour movement guidelines for adults aged 18\u201364 years and adults aged 65 years or older: an integration of physical activity, sedentary behaviour, and sleep. Appl Physiol Nutr Metab. 2020;45:S57\u2013102.","journal-title":"Appl Physiol Nutr Metab"},{"issue":"1","key":"820_CR11","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1123\/jpah.2019-0187","volume":"17","author":"CE Draper","year":"2020","unstructured":"Draper CE, Tomaz SA, Biersteker L, Cook CJ, Couper J, de Milander M, et al. The South African 24-hour movement guidelines for birth to 5 years: an integration of physical activity, sitting behavior, screen time, and sleep. J Phys Act Health. 2020;17(1):109\u201319.","journal-title":"J Phys Act Health"},{"key":"820_CR12","unstructured":"WHO. Guidelines on physical activity, sedentary behaviour and sleep for children under 5 years of age: world health organization. 2019."},{"issue":"24","key":"820_CR13","doi-asserted-by":"publisher","first-page":"1468","DOI":"10.1136\/bjsports-2020-102621","volume":"54","author":"RP Troiano","year":"2020","unstructured":"Troiano RP, Stamatakis E, Bull FC. How can global physical activity surveillance adapt to evolving physical activity guidelines? Needs, challenges and future directions. Br J Sports Med. 2020;54(24):1468\u201373.","journal-title":"Br J Sports Med"},{"issue":"10","key":"820_CR14","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1111\/j.1467-789X.2011.00896.x","volume":"12","author":"DR Lubans","year":"2011","unstructured":"Lubans DR, Hesketh K, Cliff D, Barnett L, Salmon J, Dollman J, et al. A systematic review of the validity and reliability of sedentary behaviour measures used with children and adolescents. Obes Rev. 2011;12(10):781\u201399.","journal-title":"Obes Rev"},{"issue":"20","key":"820_CR15","doi-asserted-by":"publisher","first-page":"2259","DOI":"10.1161\/01.cir.0000435708.67487.da","volume":"128","author":"SJ Strath","year":"2013","unstructured":"Strath SJ, Kaminsky LA, Ainsworth BE, Ekelund U, Freedson PS, Gary RA, et al. Guide to the assessment of physical activity: clinical and research applications: a scientific statement from the American heart association. Circulation. 2013;128(20):2259\u201379.","journal-title":"Circulation"},{"issue":"5","key":"820_CR16","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1016\/j.smrv.2011.10.002","volume":"16","author":"LJ Meltzer","year":"2012","unstructured":"Meltzer LJ, Montgomery-Downs HE, Insana SP, Walsh CM. Use of actigraphy for assessment in pediatric sleep research. Sleep Med Rev. 2012;16(5):463\u201375.","journal-title":"Sleep Med Rev"},{"issue":"1","key":"820_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1479-5868-9-119","volume":"9","author":"S Aminian","year":"2012","unstructured":"Aminian S, Hinckson EA. Examining the validity of the ActivPAL monitor in measuring posture and ambulatory movement in children. Int J Behav Nutr Phys Act. 2012;9(1):1\u20139.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"4","key":"820_CR18","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1123\/jpah.8.4.543","volume":"8","author":"L Basterfield","year":"2011","unstructured":"Basterfield L, Adamson AJ, Pearce MS, Reilly JJ. Stability of habitual physical activity and sedentary behavior monitoring by accelerometry in 6-to 8-year-olds. J Phys Act Health. 2011;8(4):543\u20137.","journal-title":"J Phys Act Health"},{"issue":"11","key":"820_CR19","doi-asserted-by":"publisher","first-page":"S531","DOI":"10.1249\/01.mss.0000185657.86065.98","volume":"37","author":"SG Trost","year":"2005","unstructured":"Trost SG, Mciver KL, Pate RR. Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005;37(11):S531\u201343.","journal-title":"Med Sci Sports Exerc"},{"issue":"4","key":"820_CR20","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.smrv.2010.10.001","volume":"15","author":"A Sadeh","year":"2011","unstructured":"Sadeh A. The role and validity of actigraphy in sleep medicine: an update. Sleep Med Rev. 2011;15(4):259\u201367.","journal-title":"Sleep Med Rev"},{"issue":"2","key":"820_CR21","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.pedn.2010.11.004","volume":"27","author":"JR Kinder","year":"2012","unstructured":"Kinder JR, Lee KA, Thompson H, Hicks K, Topp K, Madsen KA. Validation of a hip-worn accelerometer in measuring sleep time in children. J Pediatr Nurs. 2012;27(2):127\u201333.","journal-title":"J Pediatr Nurs"},{"issue":"2","key":"820_CR22","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1097\/HJR.0b013e32832ed875","volume":"17","author":"JM Warren","year":"2010","unstructured":"Warren JM, Ekelund U, Besson H, Mezzani A, Geladas N, Vanhees L. Assessment of physical activity\u2013a review of methodologies with reference to epidemiological research: a report of the exercise physiology section of the European association of cardiovascular prevention and rehabilitation. Eur J Prev Cardiol. 2010;17(2):127\u201339.","journal-title":"Eur J Prev Cardiol"},{"key":"820_CR23","doi-asserted-by":"publisher","first-page":"5","DOI":"10.3389\/fnut.2014.00005","volume":"1","author":"AP Hills","year":"2014","unstructured":"Hills AP, Mokhtar N, Byrne NM. Assessment of physical activity and energy expenditure: an overview of objective measures. Front Nutr. 2014;1:5.","journal-title":"Front Nutr"},{"key":"820_CR24","doi-asserted-by":"publisher","first-page":"101703","DOI":"10.1016\/j.psychsport.2020.101703","volume":"49","author":"A Burchartz","year":"2020","unstructured":"Burchartz A, Anedda B, Auerswald T, Giurgiu M, Hill H, Ketelhut SI, et al. Assessing physical behavior through accelerometry\u2013state of the science, best practices and future directions. Psychol Sport Exerc. 2020;49:101703.","journal-title":"Psychol Sport Exerc"},{"issue":"4","key":"820_CR25","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1136\/bjsports-2013-093407","volume":"49","author":"\u017d Pedi\u0161i\u0107","year":"2015","unstructured":"Pedi\u0161i\u0107 \u017d, Bauman A. Accelerometer-based measures in physical activity surveillance: current practices and issues. Br J Sports Med. 2015;49(4):219\u201323.","journal-title":"Br J Sports Med"},{"issue":"9","key":"820_CR26","doi-asserted-by":"publisher","first-page":"09NT1","DOI":"10.1088\/1361-6579\/ac89c9","volume":"43","author":"KA Clevenger","year":"2022","unstructured":"Clevenger KA, Montoye AH, Van Camp CA, Strath SJ, Pfeiffer KA. Methods for estimating physical activity and energy expenditure using raw accelerometry data or novel analytical approaches: a repository, framework, and reporting guidelines. Physiol Meas. 2022;43(9):09NT1.","journal-title":"Physiol Meas"},{"issue":"9","key":"820_CR27","doi-asserted-by":"publisher","first-page":"1821","DOI":"10.1007\/s40279-017-0716-0","volume":"47","author":"C-SC Migueles","year":"2017","unstructured":"Migueles C-SC, Ekelund U, Nystr\u00f6m CD, Mora-Gonzalez J, L\u00f6f M, et al. Accelerometer data collection and processing criteria to assess physical activity and other outcomes: a systematic review and practical considerations. Sports Med. 2017;47(9):1821\u201345.","journal-title":"Sports Med"},{"key":"820_CR28","unstructured":"Lippke S, Voelcker-Rehage C, B\u00fcltmann U. Assessing your client\u2019s physical activity behavior, motivation, and individual resources. ACSM's behavioral aspects of physical activity and exercise Philadelphia: Wolters Kluwer Health\/Lippincott Williams & Wilkins. 2013:39\u201369."},{"issue":"1","key":"820_CR29","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1186\/s12966-024-01667-7","volume":"21","author":"B Rodrigues","year":"2024","unstructured":"Rodrigues B, J\u00fadice PB, Marques A, Carra\u00e7a EV, Lopes L, Sousa-S\u00e1 E, et al. 24-hour movement questionnaire (QMov24h) for adults: development process and measurement properties. Int J Behav Nutr Phys Act. 2024;21(1):116.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"7","key":"820_CR30","doi-asserted-by":"publisher","first-page":"670","DOI":"10.1016\/j.jclinepi.2005.11.020","volume":"59","author":"SI de Vries","year":"2006","unstructured":"de Vries SI, Bakker I, Hopman-Rock M, Hirasing RA, van Mechelen W. Clinimetric review of motion sensors in children and adolescents. J Clin Epidemiol. 2006;59(7):670\u201380.","journal-title":"J Clin Epidemiol"},{"issue":"1","key":"820_CR31","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1186\/s12966-022-01296-y","volume":"19","author":"A Lettink","year":"2022","unstructured":"Lettink A, Altenburg TM, Arts J, van Hees VT, Chinapaw MJM. Systematic review of accelerometer-based methods for 24-h physical behavior assessment in young children (0\u20135 years old). Int J Behav Nutr Phys Act. 2022;19(1):116.","journal-title":"Int J Behav Nutr Phys Act"},{"key":"820_CR32","doi-asserted-by":"publisher","first-page":"215013271987425","DOI":"10.1177\/2150132719874252","volume":"10","author":"BA Lynch","year":"2019","unstructured":"Lynch BA, Kaufman TK, Rajjo TI, Mohammed K, Kumar S, Murad MH, et al. Accuracy of accelerometers for measuring physical activity and levels of sedentary behavior in children: a systematic review. J Prim Care Comm Health. 2019;10:2150132719874252.","journal-title":"J Prim Care Comm Health"},{"issue":"7","key":"820_CR33","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1136\/bjsports-2020-103604","volume":"56","author":"JH Migueles","year":"2022","unstructured":"Migueles JH, Aadland E, Andersen LB, Br\u00f8nd JC, Chastin SF, Hansen BH, et al. GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies. Br J Sports Med. 2022;56(7):376\u201384.","journal-title":"Br J Sports Med"},{"issue":"4","key":"820_CR34","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.sleh.2015.09.002","volume":"1","author":"M Quante","year":"2015","unstructured":"Quante M, Kaplan ER, Rueschman M, Cailler M, Buxton OM, Redline S. Practical considerations in using accelerometers to assess physical activity, sedentary behavior, and sleep. Sleep Health. 2015;1(4):275\u201384.","journal-title":"Sleep Health"},{"issue":"5","key":"820_CR35","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1016\/j.jsams.2008.10.008","volume":"12","author":"DP Cliff","year":"2009","unstructured":"Cliff DP, Reilly JJ, Okely AD. Methodological considerations in using accelerometers to assess habitual physical activity in children aged 0\u20135 years. J Sci Med Sport. 2009;12(5):557\u201367.","journal-title":"J Sci Med Sport"},{"issue":"2","key":"820_CR36","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.ypmed.2008.12.001","volume":"48","author":"SL Murphy","year":"2009","unstructured":"Murphy SL. Review of physical activity measurement using accelerometers in older adults: considerations for research design and conduct. Prev Med. 2009;48(2):108\u201314.","journal-title":"Prev Med"},{"issue":"7","key":"820_CR37","doi-asserted-by":"publisher","first-page":"467","DOI":"10.7326\/M18-0850","volume":"169","author":"AC Tricco","year":"2018","unstructured":"Tricco AC, Lillie E, Zarin W, O\u2019Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467\u201373.","journal-title":"Ann Intern Med"},{"issue":"1","key":"820_CR38","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1080\/1364557032000119616","volume":"8","author":"H Arksey","year":"2005","unstructured":"Arksey H, O\u2019Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19\u201332.","journal-title":"Int J Soc Res Methodol"},{"key":"820_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1748-5908-5-69","volume":"5","author":"D Levac","year":"2010","unstructured":"Levac D, Colquhoun H, O\u2019Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010;5:1\u20139.","journal-title":"Implement Sci"},{"issue":"1","key":"820_CR40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13750-017-0113-z","volume":"7","author":"C Kohl","year":"2018","unstructured":"Kohl C, McIntosh EJ, Unger S, Haddaway NR, Kecke S, Schiemann J, et al. Online tools supporting the conduct and reporting of systematic reviews and systematic maps: a case study on CADIMA and review of existing tools. Environ Evid. 2018;7(1):1\u201317.","journal-title":"Environ Evid"},{"issue":"5","key":"820_CR41","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.sleh.2019.04.005","volume":"5","author":"B Armstrong","year":"2019","unstructured":"Armstrong B, Covington LB, Hager ER, Black MM. Objective sleep and physical activity using 24-hour ankle-worn accelerometry among toddlers from low-income families. Sleep Health. 2019;5(5):459\u201365.","journal-title":"Sleep Health"},{"issue":"Suppl 5","key":"820_CR42","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1186\/s12889-017-4857-8","volume":"17","author":"R Santos","year":"2017","unstructured":"Santos R, Zhang Z, Pereira JR, Sousa-S\u00e1 E, Cliff DP, Okely AD. Compliance with the Australian 24-hour movement guidelines for the early years: associations with weight status. BMC Public Health. 2017;17(Suppl 5):867.","journal-title":"BMC Public Health"},{"issue":"4","key":"820_CR43","doi-asserted-by":"publisher","first-page":"549","DOI":"10.17269\/s41997-018-0072-3","volume":"109","author":"J Haines","year":"2018","unstructured":"Haines J, Douglas S, Mirotta JA, O\u2019Kane C, Breau R, Walton K, et al. Guelph family health study: pilot study of a home-based obesity prevention intervention. Can J Public Health. 2018;109(4):549\u201360.","journal-title":"Can J Public Health"},{"issue":"2","key":"820_CR44","doi-asserted-by":"publisher","first-page":"693","DOI":"10.3390\/ijerph18020693","volume":"18","author":"AM Alonso-Mart\u00ednez","year":"2021","unstructured":"Alonso-Mart\u00ednez AM, Ram\u00edrez-V\u00e9lez R, Garc\u00eda-Alonso Y, Izquierdo M, Garc\u00eda-Hermoso A. Physical activity, sedentary behavior, sleep and self-regulation in Spanish preschoolers during the covid-19 lockdown. Int J Environ Res Public Health. 2021;18(2):693.","journal-title":"Int J Environ Res Public Health"},{"key":"820_CR45","doi-asserted-by":"publisher","first-page":"618962","DOI":"10.3389\/fpubh.2021.618962","volume":"9","author":"Z Chang","year":"2021","unstructured":"Chang Z, Lei W. A study on the relationship between physical activity, sedentary behavior, and sleep duration in preschool children. Front Public Health. 2021;9:618962.","journal-title":"Front Public Health"},{"issue":"3","key":"820_CR46","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/S2352-4642(19)30424-9","volume":"4","author":"B Chen","year":"2020","unstructured":"Chen B, Bernard JY, Padmapriya N, Ning Y, Cai S, Lan\u00e7a C, et al. Associations between early-life screen viewing and 24 hour movement behaviours: findings from a longitudinal birth cohort study. Lancet Child Adolesc Health. 2020;4(3):201\u20139.","journal-title":"Lancet Child Adolesc Health"},{"issue":"18","key":"820_CR47","doi-asserted-by":"publisher","first-page":"9482","DOI":"10.3390\/ijerph18189482","volume":"18","author":"M De Craemer","year":"2021","unstructured":"De Craemer M, Decraene M, Willems I, Buysse F, Van Driessche E, Verbestel V. Objective measurement of 24-hour movement behaviors in preschool children using wrist-worn and thigh-worn accelerometers. Int J Environ Res Public Health. 2021;18(18):9482.","journal-title":"Int J Environ Res Public Health"},{"issue":"4","key":"820_CR48","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.sleh.2017.04.001","volume":"3","author":"KM Duraccio","year":"2017","unstructured":"Duraccio KM, Jensen CD. Associations between physical and sedentary activity regularity and sleep in preschoolers and kindergartners. Sleep Health. 2017;3(4):263\u20138.","journal-title":"Sleep Health"},{"issue":"22","key":"820_CR49","doi-asserted-by":"publisher","first-page":"11907","DOI":"10.3390\/ijerph182211907","volume":"18","author":"JYY Ng","year":"2021","unstructured":"Ng JYY, He Q, Chong KH, Okely AD, Chan CHS, Ha AS. The impact of COVID-19 on preschool-aged children\u2019s movement behaviors in hong kong: a longitudinal analysis of accelerometer-measured data. Int J Environ Res Public Health. 2021;18(22):11907.","journal-title":"Int J Environ Res Public Health"},{"issue":"4","key":"820_CR50","first-page":"5249","volume":"19","author":"SA Tomaz","year":"2019","unstructured":"Tomaz SA, Jones RA, Hinkley T, Twine R, Kahn K, Norris SA, et al. Physical activity in early childhood education and care settings in a low-income, rural South African community: an observational study. Rural Remote Health. 2019;19(4):5249.","journal-title":"Rural Remote Health"},{"issue":"12","key":"820_CR51","doi-asserted-by":"publisher","first-page":"2555","DOI":"10.1038\/s41366-019-0432-y","volume":"43","author":"K Meredith-Jones","year":"2019","unstructured":"Meredith-Jones K, Galland B, Haszard J, Gray A, Sayers R, Hanna M, et al. Do young children consistently meet 24-h sleep and activity guidelines? A longitudinal analysis using actigraphy. Int J Obes (Lond). 2019;43(12):2555\u201364.","journal-title":"Int J Obes (Lond)"},{"issue":"19","key":"820_CR52","doi-asserted-by":"publisher","first-page":"7148","DOI":"10.3390\/ijerph17197148","volume":"17","author":"CW St Laurent","year":"2020","unstructured":"St Laurent CW, Burkart S, Rodheim K, Marcotte R, Spencer RMC. Cross-sectional associations of 24-hour sedentary time, physical activity, and sleep duration compositions with sleep quality and habits in preschoolers. Int J Environ Res Public Health. 2020;17(19):7148.","journal-title":"Int J Environ Res Public Health"},{"issue":"4","key":"820_CR53","doi-asserted-by":"publisher","first-page":"e93117","DOI":"10.1371\/journal.pone.0093117","volume":"9","author":"SM Williams","year":"2014","unstructured":"Williams SM, Farmer VL, Taylor BJ, Taylor RW. Do more active children sleep more? A repeated cross-sectional analysis using accelerometry. PLoS ONE. 2014;9(4):e93117.","journal-title":"PLoS ONE"},{"issue":"6","key":"820_CR54","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1002\/oby.21489","volume":"24","author":"NF Butte","year":"2016","unstructured":"Butte NF, Puyau MR, Wilson TA, Liu Y, Wong WW, Adolph AL, et al. Role of physical activity and sleep duration in growth and body composition of preschool-aged children. Obesity. 2016;24(6):1328\u201335.","journal-title":"Obesity"},{"issue":"1","key":"820_CR55","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1186\/s40814-021-00912-1","volume":"7","author":"MS Hossain","year":"2021","unstructured":"Hossain MS, Deeba IM, Hasan M, Kariippanon KE, Chong KH, Cross PL, et al. International study of 24-h movement behaviors of early years (SUNRISE): a pilot study from Bangladesh. Pilot Feasibility Stud. 2021;7(1):176.","journal-title":"Pilot Feasibility Stud"},{"key":"820_CR56","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.pedn.2021.01.010","volume":"60","author":"AW Kang","year":"2021","unstructured":"Kang AW, Gans KM, Minkel J, Risica PM. Correlates of objectively measured sleep and physical activity among Latinx 3-To-5-year old children. J Pediatr Nurs. 2021;60:40\u20135.","journal-title":"J Pediatr Nurs"},{"issue":"8","key":"820_CR57","doi-asserted-by":"publisher","first-page":"e0237945","DOI":"10.1371\/journal.pone.0237945","volume":"15","author":"N Kuzik","year":"2020","unstructured":"Kuzik N, Naylor PJ, Spence JC, Carson V. Movement behaviours and physical, cognitive, and social-emotional development in preschool-aged children: cross-sectional associations using compositional analyses. PLoS ONE. 2020;15(8):e0237945.","journal-title":"PLoS ONE"},{"issue":"1","key":"820_CR58","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1186\/s12887-020-1969-6","volume":"20","author":"H Guan","year":"2020","unstructured":"Guan H, Zhang Z, Wang B, Okely AD, Tong M, Wu J, et al. Proportion of kindergarten children meeting the WHO guidelines on physical activity, sedentary behaviour and sleep and associations with adiposity in urban Beijing. BMC Pediatr. 2020;20(1):70.","journal-title":"BMC Pediatr"},{"issue":"1","key":"820_CR59","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1186\/s12966-019-0861-y","volume":"16","author":"T Manyanga","year":"2019","unstructured":"Manyanga T, Barnes JD, Chaput JP, Katzmarzyk PT, Prista A, Tremblay MS. Prevalence and correlates of adherence to movement guidelines among urban and rural children in mozambique: a cross-sectional study. Int J Behav Nutr Phys Act. 2019;16(1):94.","journal-title":"Int J Behav Nutr Phys Act"},{"key":"820_CR60","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1186\/1479-5868-10-82","volume":"10","author":"M Ekstedt","year":"2013","unstructured":"Ekstedt M, Nyberg G, Ingre M, Ekblom \u00d6, Marcus C. Sleep, physical activity and BMI in six to ten-year-old children measured by accelerometry: a cross-sectional study. Int J Behav Nutr Phys Act. 2013;10:82.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"1","key":"820_CR61","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1186\/s12966-021-01210-y","volume":"18","author":"N Padmapriya","year":"2021","unstructured":"Padmapriya N, Chen B, Goh C, Shek LPC, Chong YS, Tan KH, et al. 24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years\u2014findings from a prospective cohort study. Int J Behav Nutr Phys Act. 2021;18(1):145.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"1","key":"820_CR62","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1038\/s41366-019-0377-1","volume":"44","author":"RW Taylor","year":"2020","unstructured":"Taylor RW, Haszard JJ, Farmer VL, Richards R, Te Morenga L, Meredith-Jones K, et al. Do differences in compositional time use explain ethnic variation in the prevalence of obesity in children? Analyses using 24-hour accelerometry. Int J Obes (Lond). 2020;44(1):94\u2013103.","journal-title":"Int J Obes (Lond)"},{"issue":"6","key":"820_CR63","first-page":"3095","volume":"60","author":"S Vuholm","year":"2021","unstructured":"Vuholm S, Teisen MN, M\u00f8lgaard C, Lauritzen L, Damsgaard CT. Sleep and physical activity in healthy 8-9-year-old children are affected by oily fish consumption in the FiSK Junior randomized trial. Eur J Nutr. 2021;60(6):3095\u2013106.","journal-title":"Eur J Nutr"},{"issue":"1","key":"820_CR64","doi-asserted-by":"publisher","first-page":"12846","DOI":"10.1111\/ijpo.12846","volume":"17","author":"S Burkart","year":"2022","unstructured":"Burkart S, Parker H, Weaver RG, Beets MW, Jones A, Adams EL, et al. Impact of the COVID-19 pandemic on elementary schoolers\u2019 physical activity, sleep, screen time and diet: a quasi-experimental interrupted time series study. Pediatr Obes. 2022;17(1):12846.","journal-title":"Pediatr Obes"},{"issue":"3","key":"820_CR65","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1123\/jmpb.2019-0048","volume":"3","author":"JJ Haszard","year":"2020","unstructured":"Haszard JJ, Meredith-Jones K, Farmer V, Williams S, Galland B, Taylor R. Non-wear time and presentation of compositional 24-hour time-use analyses influence conclusions about sleep and body mass index in children. J Meas Phys Behav. 2020;3(3):204\u201310.","journal-title":"J Meas Phys Behav"},{"issue":"10","key":"820_CR66","doi-asserted-by":"publisher","first-page":"1034","DOI":"10.1123\/jpah.2019-0672","volume":"17","author":"M Toledo-Vargas","year":"2020","unstructured":"Toledo-Vargas M, Perez-Contreras P, Chandia-Poblete D, Aguilar-Farias N. Compliance of the 24-hour movement guidelines in 9- to 11-year-old children from a low-income town in Chile. J Phys Act Health. 2020;17(10):1034\u201341.","journal-title":"J Phys Act Health"},{"issue":"2","key":"820_CR67","first-page":"1","volume":"44","author":"B Armstrong","year":"2021","unstructured":"Armstrong B, Beets MW, Starrett A, Brazendale K, Turner-McGrievy G, Saelens BE, et al. Dynamics of sleep, sedentary behavior, and moderate-to-vigorous physical activity on school versus nonschool days. Sleep J Sleep Sleep Disord Res. 2021;44(2):1\u201312.","journal-title":"Sleep J Sleep Sleep Disord Res"},{"issue":"1","key":"820_CR68","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1186\/s12966-017-0521-z","volume":"14","author":"SJ Fairclough","year":"2017","unstructured":"Fairclough SJ, Dumuid D, Taylor S, Curry W, McGrane B, Stratton G, et al. Fitness, fatness and the reallocation of time between children\u2019s daily movement behaviours: an analysis of compositional data. Int J Behav Nutr Phys Act. 2017;14(1):64.","journal-title":"Int J Behav Nutr Phys Act"},{"key":"820_CR69","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1016\/j.physbeh.2016.08.021","volume":"165","author":"MF Hjorth","year":"2016","unstructured":"Hjorth MF, S\u00f8rensen LB, Andersen R, Dyssegaard CB, Ritz C, Tetens I, et al. Normal weight children have higher cognitive performance\u2014independent of physical activity, sleep, and diet. Physiol Behav. 2016;165:398\u2013404.","journal-title":"Physiol Behav"},{"issue":"1","key":"820_CR70","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1186\/s12966-021-01165-0","volume":"18","author":"JP Moreno","year":"2021","unstructured":"Moreno JP, Razjouyan J, Lester H, Dadabhoy H, Amirmazaheri M, Reesor-Oyer L, et al. Later sleep timing predicts accelerated summer weight gain among elementary school children: a prospective observational study. Int J Behav Nutr Phys Act. 2021;18(1):94.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"4","key":"820_CR71","doi-asserted-by":"publisher","first-page":"zsaa219","DOI":"10.1093\/sleep\/zsaa219","volume":"44","author":"D Antczak","year":"2021","unstructured":"Antczak D, Sanders T, Del Pozo CB, Parker P, Lonsdale C. Day-to-day and longer-term longitudinal associations between physical activity, sedentary behavior, and sleep in children. Sleep. 2021;44(4):zsaa219.","journal-title":"Sleep"},{"issue":"9","key":"820_CR72","doi-asserted-by":"publisher","first-page":"e12923","DOI":"10.1111\/ijpo.12923","volume":"17","author":"Y Garc\u00eda-Alonso","year":"2022","unstructured":"Garc\u00eda-Alonso Y, Garc\u00eda-Hermoso A, Izquierdo M, Legarra-Gorgo\u00f1on G, Ram\u00edrez-V\u00e9lez R, Alonso-Mart\u00ednez AM. Relationship between parents\u2019 and children\u2019s objectively assessed movement behaviours prior to and during the COVID-19 pandemic. Pediatr Obes. 2022;17(9):e12923.","journal-title":"Pediatr Obes"},{"issue":"1","key":"820_CR73","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1186\/s12966-022-01358-1","volume":"19","author":"L Hedayatrad","year":"2022","unstructured":"Hedayatrad L, Stewart T, Paine SJ, Marks E, Walker C, Duncan S. Sociodemographic differences in 24-hour time-use behaviours in New Zealand children. Int J Behav Nutr Phys Act. 2022;19(1):131.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"11","key":"820_CR74","doi-asserted-by":"publisher","first-page":"e0207300","DOI":"10.1371\/journal.pone.0207300","volume":"13","author":"L Lucas-de la Cruz","year":"2018","unstructured":"Lucas-de la Cruz L, Mart\u00ednez-Vizca\u00edno V, Ca\u00f1ete Garc\u00eda-Prieto J, Arias-Palencia N, Diez-Fernandez A, Milla-Tobarra M, et al. Movement behaviors and cardiometabolic risk in schoolchildren. PLoS ONE. 2018;13(11):e0207300.","journal-title":"PLoS ONE"},{"issue":"2","key":"820_CR75","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.sleh.2018.10.012","volume":"5","author":"SM Martinez","year":"2019","unstructured":"Martinez SM, Tschann JM, McCulloch CE, Sites E, Butte NF, Gregorich SE, et al. Temporal associations between circadian sleep and activity patterns in Mexican American children. Sleep Health. 2019;5(2):201\u20137.","journal-title":"Sleep Health"},{"issue":"1","key":"820_CR76","doi-asserted-by":"publisher","first-page":"1937","DOI":"10.1186\/s12889-021-11974-4","volume":"21","author":"IT Caetano","year":"2021","unstructured":"Caetano IT, Miranda VPN, Dos Santos FK, Dos Santos Amorim PR. Adolescent\u2019s movement behaviors and built environment: a latent class analysis. BMC Public Health. 2021;21(1):1937.","journal-title":"BMC Public Health"},{"issue":"11","key":"820_CR77","doi-asserted-by":"publisher","first-page":"5995","DOI":"10.3390\/ijerph18115995","volume":"18","author":"KH Chong","year":"2021","unstructured":"Chong KH, Parrish AM, Cliff DP, Dumuid D, Okely AD. Cross-sectional and longitudinal associations between 24-hour movement behaviours, recreational screen use and psychosocial health outcomes in children: a compositional data analysis approach. Int J Environ Res Public Health. 2021;18(11):5995.","journal-title":"Int J Environ Res Public Health"},{"issue":"Spec 2","key":"820_CR78","first-page":"163","volume":"14","author":"BGG da Costa","year":"2021","unstructured":"da Costa BGG, Chaput JP, Lopes MVV, Malheiros LEA, Silva KS. How do adolescents with short sleep duration spend their extra waking hours? a device-based analysis of physical activity and sedentary behaviour in a Brazilian sample. Sleep Sci. 2021;14(Spec 2):163\u20136.","journal-title":"Sleep Sci"},{"issue":"1","key":"820_CR79","doi-asserted-by":"publisher","first-page":"e0245501","DOI":"10.1371\/journal.pone.0245501","volume":"16","author":"D Dumuid","year":"2021","unstructured":"Dumuid D, Wake M, Burgner D, Tremblay MS, Okely AD, Edwards B, et al. Balancing time use for children\u2019s fitness and adiposity: evidence to inform 24-hour guidelines for sleep, sedentary time and physical activity. PLoS ONE. 2021;16(1):e0245501.","journal-title":"PLoS ONE"},{"key":"820_CR80","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.sleep.2020.03.007","volume":"72","author":"L Negele","year":"2020","unstructured":"Negele L, Flexeder C, Koletzko S, Bauer CP, von Berg A, Berdel D, Schikowski T, Standl M, Peters A, Schulz H. Association between objectively assessed physical activity and sleep quality in adolescence. Results from the GINIplus and LISA studies. Sleep Med. 2020;72:65\u201374.","journal-title":"Sleep Med"},{"key":"820_CR81","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.sleep.2018.03.007","volume":"47","author":"TR Van Dyk","year":"2018","unstructured":"Van Dyk TR, Krietsch KN, Saelens BE, Whitacre C, McAlister S, Beebe DW. Inducing more sleep on school nights reduces sedentary behavior without affecting physical activity in short-sleeping adolescents. Sleep Med. 2018;47:7\u201310.","journal-title":"Sleep Med"},{"issue":"14","key":"820_CR82","doi-asserted-by":"publisher","first-page":"1602","DOI":"10.1080\/02640414.2021.1890351","volume":"39","author":"SJ Fairclough","year":"2021","unstructured":"Fairclough SJ, Tyler R, Dainty JR, Dumuid D, Richardson C, Shepstone L, et al. Cross-sectional associations between 24-hour activity behaviours and mental health indicators in children and adolescents: a compositional data analysis. J Sports Sci. 2021;39(14):1602\u201314.","journal-title":"J Sports Sci"},{"key":"820_CR83","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12966-015-0222-4","volume":"12","author":"PJ Collings","year":"2015","unstructured":"Collings PJ, Wijndaele K, Corder K, Westgate K, Ridgway CL, Sharp SJ, et al. Magnitude and determinants of change in objectively-measured physical activity, sedentary time and sleep duration from ages 15 to 175y in UK adolescents: the roots study. Int J Behav Nutr Phys Act. 2015;12:1\u201310.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"1","key":"820_CR84","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1186\/s12966-020-01004-8","volume":"17","author":"A G\u00e1ba","year":"2020","unstructured":"G\u00e1ba A, Dygr\u00fdn J, \u0160tefelov\u00e1 N, Rub\u00edn L, Hron K, Jakubec L, et al. How do short sleepers use extra waking hours? A compositional analysis of 24-h time-use patterns among children and adolescents. Int J Behav Nutr Phys Act. 2020;17(1):104.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"9","key":"820_CR85","doi-asserted-by":"publisher","first-page":"e0238721","DOI":"10.1371\/journal.pone.0238721","volume":"15","author":"Y Kim","year":"2020","unstructured":"Kim Y, Umeda M, Lochbaum M, Sloan RA. Examining the day-to-day bidirectional associations between physical activity, sedentary behavior, screen time, and sleep health during school days in adolescents. PLoS ONE. 2020;15(9):e0238721.","journal-title":"PLoS ONE"},{"issue":"8","key":"820_CR86","doi-asserted-by":"publisher","first-page":"1508","DOI":"10.1038\/s41366-018-0053-x","volume":"42","author":"R Talarico","year":"2018","unstructured":"Talarico R, Janssen I. Compositional associations of time spent in sleep, sedentary behavior and physical activity with obesity measures in children. Int J Obes (Lond). 2018;42(8):1508\u201314.","journal-title":"Int J Obes (Lond)"},{"issue":"5","key":"820_CR87","first-page":"667","volume":"9","author":"P Starbek","year":"2022","unstructured":"Starbek P, Kastelic K, \u0160arabon N. The impact of online-schooling during COVID-19 on device-measured 24-hour movement behaviours among high school students: a compositional data analysis. Children (Basel). 2022;9(5):667.","journal-title":"Children (Basel)"},{"issue":"1","key":"820_CR88","doi-asserted-by":"publisher","first-page":"67","DOI":"10.5993\/AJHB.44.1.7","volume":"44","author":"VM Grant","year":"2020","unstructured":"Grant VM, Tomayko EJ, Kingfisher RD. Sleep and physical activity patterns in urban American Indian children. Am J Health Behav. 2020;44(1):67\u201375.","journal-title":"Am J Health Behav"},{"issue":"3","key":"820_CR89","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1016\/j.amepre.2021.04.009","volume":"61","author":"MR Beltran-Valls","year":"2021","unstructured":"Beltran-Valls MR, Adelantado-Renau M, Mota J, Moliner-Urdiales D. Longitudinal associations of healthy behaviors on fitness in adolescents: DADOS study. Am J Prev Med. 2021;61(3):410\u20137.","journal-title":"Am J Prev Med"},{"issue":"4","key":"820_CR90","doi-asserted-by":"publisher","first-page":"e0266926","DOI":"10.1371\/journal.pone.0266926","volume":"17","author":"SF Domingues","year":"2022","unstructured":"Domingues SF, Diniz da Silva C, Faria FR, de S\u00e1 SH, Dos Santos Amorim PR. Sleep, sedentary behavior, and physical activity in Brazilian adolescents: achievement recommendations and BMI associations through compositional data analysis. PLoS ONE. 2022;17(4):e0266926.","journal-title":"PLoS ONE"},{"issue":"7","key":"820_CR91","doi-asserted-by":"publisher","first-page":"2164","DOI":"10.1111\/apa.15806","volume":"110","author":"DM Harrington","year":"2021","unstructured":"Harrington DM, Ioannidou E, Davies MJ, Edwardson CL, Gorely T, Rowlands AV, et al. Concurrent screen use and cross-sectional association with lifestyle behaviours and psychosocial health in adolescent females. Acta Paediatr. 2021;110(7):2164\u201370.","journal-title":"Acta Paediatr"},{"key":"820_CR92","doi-asserted-by":"crossref","unstructured":"Aguilar-Farias N, Martino-Fuentealba P, Chandia-Poblete D. Correlates of device-measured physical activity, sedentary behaviour and sleeping in children aged 9\u201311 years from Chile: ESPACIOS study. \/ Factores asociados con actividad f\u00edsica, conducta sedentaria y sue\u00f1o medidos con aceler\u00f3metros en ni\u00f1os de 9\u201311 a\u00f1os de Chile: estudio ESPACIOS. Retos: Nuevas Perspectivas de Educaci\u00f3n F\u00edsica, Deporte y Recreaci\u00f3n. 2020;37:1\u201310.","DOI":"10.47197\/retos.v37i37.71142"},{"issue":"8","key":"820_CR93","doi-asserted-by":"publisher","first-page":"1257","DOI":"10.1249\/mss.0b013e3180621fb6","volume":"39","author":"NF Butte","year":"2007","unstructured":"Butte NF, Puyau MR, Adolph AL, Vohra FA, Zakeri I. Physical activity in nonoverweight and overweight Hispanic children and adolescents. Med Sci Sports Exerc. 2007;39(8):1257\u201366.","journal-title":"Med Sci Sports Exerc"},{"issue":"3","key":"820_CR94","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1016\/j.sleh.2022.01.003","volume":"8","author":"KN Krietsch","year":"2022","unstructured":"Krietsch KN, Duraccio KM, Zhang N, Saelens BE, Howarth T, Combs A, et al. Earlier bedtimes and more sleep displace sedentary behavior but not moderate-to-vigorous physical activity in adolescents. Sleep Health. 2022;8(3):270\u20136.","journal-title":"Sleep Health"},{"issue":"1","key":"820_CR95","doi-asserted-by":"publisher","first-page":"7732","DOI":"10.1038\/s41598-019-44059-9","volume":"9","author":"L Master","year":"2019","unstructured":"Master L, Nye RT, Lee S, Nahmod NG, Mariani S, Hale L, et al. Bidirectional, daily temporal associations between sleep and physical activity in adolescents. Sci Rep. 2019;9(1):7732.","journal-title":"Sci Rep"},{"key":"820_CR96","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.sleep.2020.07.021","volume":"74","author":"I Merikanto","year":"2020","unstructured":"Merikanto I, Kuula L, Lahti J, R\u00e4ikk\u00f6nen K, Pesonen AK. Eveningness associates with lower physical activity from pre- to late adolescence. Sleep Med. 2020;74:189\u201398.","journal-title":"Sleep Med"},{"issue":"1","key":"820_CR97","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1186\/s12877-022-03043-1","volume":"22","author":"T Ataka","year":"2022","unstructured":"Ataka T, Kimura N, Eguchi A, Matsubara E. Changes in objectively measured lifestyle factors during the COVID-19 pandemic in community-dwelling older adults. BMC Geriatr. 2022;22(1):326.","journal-title":"BMC Geriatr"},{"issue":"5","key":"820_CR98","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1016\/j.sleh.2022.06.001","volume":"8","author":"JR Betson","year":"2022","unstructured":"Betson JR, Kirkcaldie MTK, Zosky GR, Ross RM. Transition to shift work: sleep patterns, activity levels, and physiological health of early-career paramedics. Sleep Health. 2022;8(5):514\u201320.","journal-title":"Sleep Health"},{"key":"820_CR99","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1016\/j.jad.2022.09.110","volume":"320","author":"JM Blodgett","year":"2022","unstructured":"Blodgett JM, Mitchell JJ, Stamatakis E, Chastin S, Hamer M. Associations between the composition of daily time spent in physical activity, sedentary behaviour and sleep and risk of depression: compositional data analyses of the 1970 British cohort study. J Affect Disord. 2022;320:616\u201320.","journal-title":"J Affect Disord"},{"issue":"2","key":"820_CR100","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1038\/oby.2011.306","volume":"20","author":"JN Booth","year":"2012","unstructured":"Booth JN, Bromley LE, Darukhanavala AP, Whitmore HR, Imperial JG, Penev PD. Reduced physical activity in adults at risk for type 2 diabetes who curtail their sleep. Obesity. 2012;20(2):278\u201384.","journal-title":"Obesity"},{"key":"820_CR101","doi-asserted-by":"publisher","first-page":"4856506","DOI":"10.1155\/2016\/4856506","volume":"2016","author":"MP Buman","year":"2016","unstructured":"Buman MP, Hu F, Newman E, Smeaton AF, Epstein DR. Behavioral periodicity detection from 24 h wrist accelerometry and associations with cardiometabolic risk and health-related quality of life. Biomed Res Int. 2016;2016:4856506.","journal-title":"Biomed Res Int"},{"issue":"1","key":"820_CR102","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.jsams.2017.10.031","volume":"21","author":"V Cabanas-S\u00e1nchez","year":"2018","unstructured":"Cabanas-S\u00e1nchez V, Mart\u00ednez-G\u00f3mez D, Esteban-Cornejo I, Castro-Pi\u00f1ero J, Conde-Caveda J, Veiga \u00d3L. Reliability and validity of the youth leisure-time sedentary behavior questionnaire (YLSBQ). J Sci Med Sport. 2018;21(1):69\u201374.","journal-title":"J Sci Med Sport"},{"issue":"4","key":"820_CR103","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1111\/sms.13612","volume":"30","author":"V Cabanas-S\u00e1nchez","year":"2020","unstructured":"Cabanas-S\u00e1nchez V, Esteban-Cornejo I, Migueles JH, Banegas JR, Graciani A, Rodr\u00edguez-Artalejo F, et al. Twenty four-hour activity cycle in older adults using wrist-worn accelerometers: the seniors-ENRICA-2 study. Scand J Med Sci Sports. 2020;30(4):700\u20138.","journal-title":"Scand J Med Sci Sports"},{"issue":"5","key":"820_CR104","doi-asserted-by":"publisher","first-page":"1560","DOI":"10.3390\/jcm9051560","volume":"9","author":"A Carneiro-Barrera","year":"2020","unstructured":"Carneiro-Barrera A, Amaro-Gahete FJ, Acosta FM, Ruiz JR. Body composition impact on sleep in young adults: the mediating role of sedentariness, physical activity, and diet. J Clin Med. 2020;9(5):1560.","journal-title":"J Clin Med"},{"key":"820_CR105","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.maturitas.2018.02.003","volume":"110","author":"D Dumuid","year":"2018","unstructured":"Dumuid D, Lewis LK, Olds TS, Maher C, Bondarenko C, Norton L. Relationships between older adults\u2019 use of time and cardio-respiratory fitness, obesity and cardio-metabolic risk: a compositional isotemporal substitution analysis. Maturitas. 2018;110:104\u201310.","journal-title":"Maturitas"},{"key":"820_CR106","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1016\/j.pmedr.2018.07.013","volume":"11","author":"LD Ellingson","year":"2018","unstructured":"Ellingson LD, Meyer JD, Shook RP, Dixon PM, Hand GA, Wirth MD, et al. Changes in sedentary time are associated with changes in mental wellbeing over 1 year in young adults. Prev Med Rep. 2018;11:274\u201381.","journal-title":"Prev Med Rep"},{"issue":"1","key":"820_CR107","doi-asserted-by":"publisher","first-page":"zsz205","DOI":"10.1093\/sleep\/zsz205","volume":"43","author":"KM Full","year":"2020","unstructured":"Full KM, Gallo LC, Malhotra A, Bellettiere J, Kerr J, Arredondo E, et al. Modeling the cardiometabolic benefits of sleep in older women: exploring the 24-hour day. Sleep. 2020;43(1):zsz205.","journal-title":"Sleep"},{"issue":"2","key":"820_CR108","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1093\/tbm\/ibaa071","volume":"11","author":"Y Liao","year":"2021","unstructured":"Liao Y, Robertson MC, Winne A, Wu IHC, Le TA, Balachandran DD, et al. Investigating the within-person relationships between activity levels and sleep duration using fitbit data. Transl Behav Med. 2021;11(2):619\u201324.","journal-title":"Transl Behav Med"},{"issue":"9","key":"820_CR109","doi-asserted-by":"publisher","first-page":"e1003757","DOI":"10.1371\/journal.pmed.1003757","volume":"18","author":"LAC Millard","year":"2021","unstructured":"Millard LAC, Tilling K, Gaunt TR, Carslake D, Lawlor DA. Association of physical activity intensity and bout length with mortality: an observational study of 79,503 UK Biobank participants. PLoS Med. 2021;18(9):e1003757.","journal-title":"PLoS Med"},{"issue":"1","key":"820_CR110","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1038\/s41598-020-79355-2","volume":"11","author":"S Moch\u00f3n-Benguigui","year":"2021","unstructured":"Moch\u00f3n-Benguigui S, Carneiro-Barrera A, Castillo MJ, Amaro-Gahete FJ. Role of physical activity and fitness on sleep in sedentary middle-aged adults: the FIT-AGEING study. Sci Rep. 2021;11(1):539.","journal-title":"Sci Rep"},{"issue":"4","key":"820_CR111","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.1007\/s10903-022-01361-5","volume":"24","author":"C Park","year":"2022","unstructured":"Park C, Larsen B, Kwon S, Xia Y, Dickson VV, Kim SS, et al. Acculturation, discrimination and 24-h activity in Asian American immigrant women. J Immigr Minor Health. 2022;24(4):1005\u201312.","journal-title":"J Immigr Minor Health"},{"issue":"24","key":"820_CR112","doi-asserted-by":"publisher","first-page":"13077","DOI":"10.3390\/ijerph182413077","volume":"18","author":"JH Park","year":"2021","unstructured":"Park JH, Kim Y, Welk GJ, Silva P, Lee JM. Association with temperature variability and physical activity, sedentary behavior, and sleep in a free-living population. Int J Environ Res Public Health. 2021;18(24):13077.","journal-title":"Int J Environ Res Public Health"},{"issue":"1","key":"820_CR113","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1186\/s12966-022-01364-3","volume":"19","author":"K Suorsa","year":"2022","unstructured":"Suorsa K, Leskinen T, Pasanen J, Pulakka A, Myllyntausta S, Pentti J, et al. Changes in the 24-h movement behaviors during the transition to retirement: compositional data analysis. Int J Behav Nutr Phys Act. 2022;19(1):121.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"2","key":"820_CR114","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1123\/jpah.2018-0687","volume":"17","author":"RG Curtis","year":"2020","unstructured":"Curtis RG, Dumuid D, Olds T, Plotnikoff R, Vandelanotte C, Ryan J, et al. The association between time-use behaviors and physical and mental well-being in adults: a compositional isotemporal substitution analysis. J Phys Act Health. 2020;17(2):197\u2013203.","journal-title":"J Phys Act Health"},{"key":"820_CR115","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.jpeds.2018.03.075","volume":"199","author":"V Cabanas-S\u00e1nchez","year":"2018","unstructured":"Cabanas-S\u00e1nchez V, Mart\u00ednez-G\u00f3mez D, Izquierdo-G\u00f3mez R, Segura-Jim\u00e9nez V, Castro-Pi\u00f1ero J, Veiga OL. Association between clustering of lifestyle behaviors and health-related physical fitness in youth: the UP&DOWN study. J Pediatr. 2018;199:41-8.e1.","journal-title":"J Pediatr"},{"issue":"2","key":"820_CR116","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1123\/jmpb.2020-0056","volume":"4","author":"P Husu","year":"2021","unstructured":"Husu P, Tokola K, V\u00e4h\u00e4-Ypy\u00e4 H, Siev\u00e4nen H, Suni J, Heinonen OJ, et al. Physical activity, sedentary behavior, and time in bed among finnish adults measured 24\/7 by triaxial accelerometry. J Meas Phys Behav. 2021;4(2):163\u201373.","journal-title":"J Meas Phys Behav"},{"issue":"3","key":"820_CR117","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1123\/jpah.2017-0102","volume":"15","author":"S Knaeps","year":"2018","unstructured":"Knaeps S, De Baere S, Bourgois J, Mertens E, Charlier R, Lefevre J. Substituting sedentary time with light and moderate to vigorous physical activity is associated with better cardiometabolic health. J Phys Act Health. 2018;15(3):197\u2013203.","journal-title":"J Phys Act Health"},{"issue":"10","key":"820_CR118","doi-asserted-by":"publisher","first-page":"1950","DOI":"10.1249\/MSS.0000000000001000","volume":"48","author":"JA Mitchell","year":"2016","unstructured":"Mitchell JA, Godbole S, Moran K, Murray K, James P, Laden F, et al. No evidence of reciprocal associations between daily sleep and physical activity. Med Sci Sports Exerc. 2016;48(10):1950\u20136.","journal-title":"Med Sci Sports Exerc"},{"issue":"1","key":"820_CR119","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s40279-019-01153-2","volume":"50","author":"C Powell","year":"2020","unstructured":"Powell C, Browne LD, Carson BP, Dowd KP, Perry IJ, Kearney PM, et al. Use of compositional data analysis to show estimated changes in cardiometabolic health by reallocating time to light-intensity physical activity in older adults. Sports Med. 2020;50(1):205\u201317.","journal-title":"Sports Med"},{"key":"820_CR120","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12966-020-00988-7","volume":"17","author":"N Gupta","year":"2020","unstructured":"Gupta N, Dencker-Larsen S, Lund Rasmussen C, McGregor D, Rasmussen CDN, Thorsen SV, et al. The physical activity paradox revisited: a prospective study on compositional accelerometer data and long-term sickness absence. Int J Behav Nutr Phys Act. 2020;17:1\u20139.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"3","key":"820_CR121","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1016\/j.amepre.2020.03.029","volume":"59","author":"S Verhoog","year":"2020","unstructured":"Verhoog S, Braun KVE, Bano A, van Rooij FJA, Franco OH, Koolhaas CM, et al. Associations of activity and sleep with quality of life: a compositional data analysis. Am J Prev Med. 2020;59(3):412\u20139.","journal-title":"Am J Prev Med"},{"issue":"6","key":"820_CR122","doi-asserted-by":"publisher","first-page":"e0218595","DOI":"10.1371\/journal.pone.0218595","volume":"14","author":"KM Full","year":"2019","unstructured":"Full KM, Moran K, Carlson J, Godbole S, Natarajan L, Hipp A, et al. Latent profile analysis of accelerometer-measured sleep, physical activity, and sedentary time and differences in health characteristics in adult women. PLoS ONE. 2019;14(6):e0218595.","journal-title":"PLoS ONE"},{"issue":"1","key":"820_CR123","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1186\/s12966-019-0892-4","volume":"16","author":"AM Galmes-Panades","year":"2019","unstructured":"Galmes-Panades AM, Varela-Mato V, Konieczna J, W\u00e4rnberg J, Mart\u00ednez-Gonz\u00e1lez M, Salas-Salvad\u00f3 J, et al. Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health in the PREDIMED-Plus study. Int J Behav Nutr Phys Act. 2019;16(1):137.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"SUPPL 1","key":"820_CR124","first-page":"1","volume":"141","author":"C German","year":"2020","unstructured":"German C, Makarem N, Fanning J, Redline S, Elfassy T, McClain A, et al. Reallocating sedentary behavior with sleep or physical activity is associated with favorable cardiovascular health in the multi-ethnic study of atherosclerosis: MESA. Circulation. 2020;141(SUPPL 1):1.","journal-title":"Circulation"},{"issue":"7","key":"820_CR125","doi-asserted-by":"publisher","first-page":"1574","DOI":"10.1111\/sms.13965","volume":"31","author":"ND Gilson","year":"2021","unstructured":"Gilson ND, Mielke GI, Coombes JS, Feter N, Smith E, Duncan MJ, et al. VO(2peak) and 24-hour sleep, sedentary behavior, and physical activity in Australian truck drivers. Scand J Med Sci Sports. 2021;31(7):1574\u20138.","journal-title":"Scand J Med Sci Sports"},{"issue":"12","key":"820_CR126","doi-asserted-by":"publisher","first-page":"2517","DOI":"10.1007\/s40520-020-01502-6","volume":"32","author":"N Goncin","year":"2020","unstructured":"Goncin N, Linares A, Lloyd M, Dogra S. Does sedentary time increase in older adults in the days following participation in intense exercise? Aging Clin Exp Res. 2020;32(12):2517\u201327.","journal-title":"Aging Clin Exp Res"},{"issue":"7","key":"820_CR127","first-page":"1","volume":"41","author":"C Gubelmann","year":"2018","unstructured":"Gubelmann C, Heinzer R, Haba-Rubio J, Vollenweider P, Marques-Vidal P. Physical activity is associated with higher sleep efficiency in the general population: the CoLaus study. Sleep J Sleep Sleep Disord Res. 2018;41(7):1\u20139.","journal-title":"Sleep J Sleep Sleep Disord Res"},{"issue":"10","key":"820_CR128","doi-asserted-by":"publisher","first-page":"2150","DOI":"10.1249\/MSS.0000000000001680","volume":"50","author":"N Gupta","year":"2018","unstructured":"Gupta N, Dumuid D, Korsh\u00f8j M, J\u00f8rgensen MB, S\u00f8gaard K, Holtermann A. Is daily composition of movement behaviors related to blood pressure in working adults? Med Sci Sports Exerc. 2018;50(10):2150\u20135.","journal-title":"Med Sci Sports Exerc"},{"issue":"1","key":"820_CR129","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1007\/s11325-020-02190-2","volume":"25","author":"TA Hargens","year":"2021","unstructured":"Hargens TA, Scott MC, Olijar V, Bigman M, Edwards ES. Markers of poor sleep quality increase sedentary behavior in college students as derived from accelerometry. Sleep Breath. 2021;25(1):537\u201344.","journal-title":"Sleep Breath"},{"issue":"15","key":"820_CR130","doi-asserted-by":"publisher","first-page":"7999","DOI":"10.3390\/ijerph18157999","volume":"18","author":"EG Heiland","year":"2021","unstructured":"Heiland EG, Ekblom \u00d6, Bojsen-M\u00f8ller E, Larisch LM, Blom V, Ekblom MM. Bi-directional, day-to-day associations between objectively-measured physical activity, sedentary behavior, and sleep among office workers. Int J Environ Res Public Health. 2021;18(15):7999.","journal-title":"Int J Environ Res Public Health"},{"issue":"1","key":"820_CR131","doi-asserted-by":"publisher","first-page":"zpab004","DOI":"10.1093\/sleepadvances\/zpab004","volume":"2","author":"CC Imes","year":"2021","unstructured":"Imes CC, Bizhanova Z, Kline CE, Rockette-Wagner B, Chasens ER, Sereika SM, et al. Bidirectional relationship between sleep and sedentary behavior in adults with overweight or obesity: a secondary analysis. Sleep Adv. 2021;2(1):zpab004.","journal-title":"Sleep Adv"},{"issue":"4","key":"820_CR132","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1007\/s12529-021-10031-z","volume":"29","author":"F Le","year":"2022","unstructured":"Le F, Yap Y, Tung NYC, Bei B, Wiley JF. The associations between daily activities and affect: a compositional isotemporal substitution analysis. Int J Behav Med. 2022;29(4):456\u201368.","journal-title":"Int J Behav Med"},{"key":"820_CR133","doi-asserted-by":"publisher","first-page":"101071","DOI":"10.1016\/j.pmedr.2020.101071","volume":"18","author":"J Lee","year":"2020","unstructured":"Lee J, Walker ME, Matthews KA, Kuller LH, Ranjit N, Gabriel KP. Associations of physical activity and sleep with cardiometabolic risk in older women. Prev Med Rep. 2020;18:101071.","journal-title":"Prev Med Rep"},{"issue":"2","key":"820_CR134","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.slsci.2014.09.009","volume":"7","author":"KM Madden","year":"2014","unstructured":"Madden KM, Ashe MC, Lockhart C, Chase JM. Sedentary behavior and sleep efficiency in active community-dwelling older adults. Sleep Sci. 2014;7(2):82\u20138.","journal-title":"Sleep Sci"},{"issue":"2","key":"820_CR135","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.jshs.2021.07.009","volume":"11","author":"DJ McDonough","year":"2022","unstructured":"McDonough DJ, Helgeson MA, Liu W, Gao Z. Effects of a remote, YouTube-delivered exercise intervention on young adults\u2019 physical activity, sedentary behavior, and sleep during the covid-19 pandemic: randomized controlled trial. J Sport Health Sci. 2022;11(2):145\u201356.","journal-title":"J Sport Health Sci"},{"issue":"1","key":"820_CR136","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.amepre.2020.02.018","volume":"59","author":"JD Meyer","year":"2020","unstructured":"Meyer JD, Ellingson LD, Buman MP, Shook RP, Hand GA, Blair SN. Current and 1-year psychological and physical effects of replacing sedentary time with time in other behaviors. Am J Prev Med. 2020;59(1):12\u201320.","journal-title":"Am J Prev Med"},{"issue":"1","key":"820_CR137","doi-asserted-by":"publisher","first-page":"8712","DOI":"10.1038\/s41598-022-12715-2","volume":"12","author":"J Pasanen","year":"2022","unstructured":"Pasanen J, Leskinen T, Suorsa K, Pulakka A, Virta J, Auranen K, et al. Effects of physical activity intervention on 24-h movement behaviors: a compositional data analysis. Sci Rep. 2022;12(1):8712.","journal-title":"Sci Rep"},{"issue":"1","key":"820_CR138","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1111\/nhs.12647","volume":"22","author":"J Seol","year":"2020","unstructured":"Seol J, Abe T, Fujii Y, Joho K, Okura T. Effects of sedentary behavior and physical activity on sleep quality in older people: a cross-sectional study. Nurs Health Sci. 2020;22(1):64\u201371.","journal-title":"Nurs Health Sci"},{"issue":"5","key":"820_CR139","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1038\/ijo.2017.30","volume":"41","author":"WW Tigbe","year":"2017","unstructured":"Tigbe WW, Granat MH, Sattar N, Lean MEJ. Time spent in sedentary posture is associated with waist circumference and cardiovascular risk. Int J Obes (Lond). 2017;41(5):689\u201396.","journal-title":"Int J Obes (Lond)"},{"issue":"1","key":"820_CR140","doi-asserted-by":"publisher","first-page":"266","DOI":"10.3390\/ijerph19010266","volume":"19","author":"R Wang","year":"2021","unstructured":"Wang R, Blom V, Nooijen CFJ, Kallings LV, Ekblom \u00d6, Ekblom MM. The role of executive function in the effectiveness of multi-component interventions targeting physical activity behavior in office workers. Int J Environ Res Public Health. 2021;19(1):266.","journal-title":"Int J Environ Res Public Health"},{"issue":"2","key":"820_CR141","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1590\/1517-8692202127022020_0120","volume":"27","author":"AM Santos","year":"2021","unstructured":"Santos AM, Ribeiro SL, Sousa AV, Machado DD, Monteiro PA, Moura P, Martins CM, Freitas IF, Santos MA, Rossi FE. Are there differences between male and female badminton athletes in sleep, physical activity and sedentary time? Rev Br Med Esporte. 2021;27(2):174\u20138.","journal-title":"Rev Br Med Esporte"},{"issue":"11","key":"820_CR142","doi-asserted-by":"publisher","first-page":"2000","DOI":"10.1038\/oby.2006.234","volume":"14","author":"RR Pate","year":"2006","unstructured":"Pate RR, Almeida MJ, McIver KL, Pfeiffer KA, Dowda M. Validation and calibration of an accelerometer in preschool children. Obesity. 2006;14(11):2000\u20136.","journal-title":"Obesity"},{"issue":"3","key":"820_CR143","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1093\/sleep\/17.3.201","volume":"17","author":"A Sadeh","year":"1994","unstructured":"Sadeh A, Sharkey M, Carskadon MA. Activity-based sleep-wake identification: an empirical test of methodological issues. Sleep. 1994;17(3):201\u20137.","journal-title":"Sleep"},{"issue":"14","key":"820_CR144","doi-asserted-by":"publisher","first-page":"1557","DOI":"10.1080\/02640410802334196","volume":"26","author":"KR Evenson","year":"2008","unstructured":"Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008;26(14):1557\u201365.","journal-title":"J Sports Sci"},{"issue":"17","key":"820_CR145","doi-asserted-by":"publisher","first-page":"6346","DOI":"10.3390\/ijerph17176346","volume":"17","author":"LS Tye","year":"2020","unstructured":"Tye LS, Scott T, Haszard JJ, Peddie MC. Physical activity, sedentary behaviour and sleep, and their association with bmi in a sample of adolescent females in New Zealand. Int J Environ Res Public Health. 2020;17(17):6346.","journal-title":"Int J Environ Res Public Health"},{"issue":"9","key":"820_CR146","doi-asserted-by":"publisher","first-page":"1816","DOI":"10.1249\/MSS.0000000000000289","volume":"46","author":"MV Hildebrand","year":"2014","unstructured":"Hildebrand MV, van Hees VT, Hansen BH, Ekelund U. Age group comparability of raw accelerometer output from wrist-and hip-worn monitors. Med Sci Sports Exerc. 2014;46(9):1816\u201324.","journal-title":"Med Sci Sports Exerc"},{"issue":"12","key":"820_CR147","doi-asserted-by":"publisher","first-page":"1814","DOI":"10.1111\/sms.12795","volume":"27","author":"M Hildebrand","year":"2017","unstructured":"Hildebrand M, Hansen BH, van Hees VT, Ekelund U. Evaluation of raw acceleration sedentary thresholds in children and adults. Scand J Med Sci Sports. 2017;27(12):1814\u201323.","journal-title":"Scand J Med Sci Sports"},{"issue":"5","key":"820_CR148","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1093\/sleep\/15.5.461","volume":"15","author":"RJ Cole","year":"1992","unstructured":"Cole RJ, Kripke DF, Gruen W, Mullaney DJ, Gillin JC. Automatic sleep\/wake identification from wrist activity. Sleep. 1992;15(5):461\u20139.","journal-title":"Sleep"},{"issue":"5","key":"820_CR149","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1097\/00005768-199805000-00021","volume":"30","author":"PS Freedson","year":"1998","unstructured":"Freedson PS, Melanson E, Sirard J. Calibration of the computer science and applications, inc. accelerometer. Med Sci Sports Exerc. 1998;30(5):777\u201381.","journal-title":"Med Sci Sports Exerc"},{"key":"820_CR150","doi-asserted-by":"publisher","first-page":"958","DOI":"10.3389\/fpsyt.2019.00958","volume":"10","author":"C Smith","year":"2020","unstructured":"Smith C, Galland B, Taylor R, Meredith-Jones K. ActiGraph GT3X+ and actical wrist and hip worn accelerometers for sleep and wake indices in young children using an automated algorithm: validation with polysomnography. Front Psych. 2020;10:958.","journal-title":"Front Psych"},{"issue":"3","key":"820_CR151","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1249\/MSS.0000000000000778","volume":"48","author":"ME Rosenberger","year":"2016","unstructured":"Rosenberger ME, Buman MP, Haskell WL, McConnell MV, Carstensen LL. Twenty-four hours of sleep, sedentary behavior, and physical activity with nine wearable devices. Med Sci Sports Exerc. 2016;48(3):457\u201365.","journal-title":"Med Sci Sports Exerc"},{"issue":"3","key":"820_CR152","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1093\/sleep\/26.3.342","volume":"26","author":"S Ancoli-Israel","year":"2003","unstructured":"Ancoli-Israel S, Cole R, Alessi C, Chambers M, Moorcroft W, Pollak CP. The role of actigraphy in the study of sleep and circadian rhythms. Sleep. 2003;26(3):342\u201392.","journal-title":"Sleep"},{"issue":"1","key":"820_CR153","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/j.2047-6310.2013.00213.x","volume":"10","author":"E Johansson","year":"2015","unstructured":"Johansson E, Ekelund U, Nero H, Marcus C, Hagstromer M. Calibration and cross-validation of a wrist-worn Actigraph in young preschoolers. Pediatr Obes. 2015;10(1):1\u20136.","journal-title":"Pediatr Obes"},{"issue":"6","key":"820_CR154","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1016\/j.jsams.2013.11.005","volume":"17","author":"S Costa","year":"2014","unstructured":"Costa S, Barber SE, Cameron N, Clemes SA. Calibration and validation of the ActiGraph GT3X+ in 2\u20133 year olds. J Sci Med Sport. 2014;17(6):617\u201322.","journal-title":"J Sci Med Sport"},{"issue":"11","key":"820_CR155","doi-asserted-by":"publisher","first-page":"2191","DOI":"10.1088\/0967-3334\/35\/11\/2191","volume":"35","author":"K Ellis","year":"2014","unstructured":"Ellis K, Kerr J, Godbole S, Lanckriet G, Wing D, Marshall S. A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers. Physiol Meas. 2014;35(11):2191.","journal-title":"Physiol Meas"},{"issue":"4","key":"820_CR156","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1152\/japplphysiol.00026.2015","volume":"119","author":"J Staudenmayer","year":"2015","unstructured":"Staudenmayer J, He S, Hickey A, Sasaki J, Freedson P. Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurements. J Appl Physiol. 2015;119(4):396\u2013403.","journal-title":"J Appl Physiol"},{"issue":"1","key":"820_CR157","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1123\/pes.2013-0021","volume":"26","author":"CL Addy","year":"2014","unstructured":"Addy CL, Trilk JL, Dowda M, Byun W, Pate RR. Assessing preschool children\u2019s physical activity: how many days of accelerometry measurement. Pediatr Exerc Sci. 2014;26(1):103\u20139.","journal-title":"Pediatr Exerc Sci"},{"issue":"2","key":"820_CR158","doi-asserted-by":"publisher","first-page":"S29","DOI":"10.1038\/ijosup.2015.16","volume":"5","author":"TV Barreira","year":"2015","unstructured":"Barreira TV, Schuna J, Tudor-Locke C, Chaput J-P, Church TS, Fogelholm M, et al. Reliability of accelerometer-determined physical activity and sedentary behavior in school-aged children: a 12-country study. Int J Obes Supplem. 2015;5(2):S29\u201335.","journal-title":"Int J Obes Supplem"},{"issue":"2","key":"820_CR159","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1097\/00005768-200002000-00025","volume":"32","author":"SG Trost","year":"2000","unstructured":"Trost SG, Pate RR, Freedson PS, Sallis JF, Taylor WC. Using objective physical activity measures with youth: how many days of monitoring are needed? Med Sci Sports Exerc. 2000;32(2):426.","journal-title":"Med Sci Sports Exerc"},{"issue":"11 Suppl","key":"820_CR160","doi-asserted-by":"publisher","first-page":"S582","DOI":"10.1249\/01.mss.0000185292.71933.91","volume":"37","author":"DS Ward","year":"2005","unstructured":"Ward DS, Evenson KR, Vaughn A, Rodgers AB, Troiano RP. Accelerometer use in physical activity: best practices and research recommendations. Med Sci Sports Exerc. 2005;37(11 Suppl):S582\u20138.","journal-title":"Med Sci Sports Exerc"},{"key":"820_CR161","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12966-015-0172-x","volume":"12","author":"C Tudor-Locke","year":"2015","unstructured":"Tudor-Locke C, Barreira TV, Schuna JM, Mire EF, Chaput J-P, Fogelholm M, et al. Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the international study of childhood obesity, lifestyle and the environment (ISCOLE). Int J Behav Nutr Phys Act. 2015;12:1.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"6","key":"820_CR162","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/j.jsams.2012.12.002","volume":"16","author":"G Peeters","year":"2013","unstructured":"Peeters G, van Gellecum Y, Ryde G, Far\u00edas NA, Brown WJ. Is the pain of activity log-books worth the gain in precision when distinguishing wear and non-wear time for tri-axial accelerometers? J Sci Med Sport. 2013;16(6):515\u20139.","journal-title":"J Sci Med Sport"},{"issue":"10","key":"820_CR163","doi-asserted-by":"publisher","first-page":"2009","DOI":"10.1249\/MSS.0b013e318258cb36","volume":"44","author":"L Choi","year":"2012","unstructured":"Choi L, Ward SC, Schnelle JF, Buchowski MS. Assessment of wear\/nonwear time classification algorithms for triaxial accelerometer. Med Sci Sports Exerc. 2012;44(10):2009.","journal-title":"Med Sci Sports Exerc"},{"issue":"2","key":"820_CR164","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1249\/MSS.0b013e3181ed61a3","volume":"43","author":"L Choi","year":"2011","unstructured":"Choi L, Liu Z, Matthews CE, Buchowski MS. Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc. 2011;43(2):357\u201364.","journal-title":"Med Sci Sports Exerc"},{"issue":"7","key":"820_CR165","doi-asserted-by":"publisher","first-page":"1360","DOI":"10.1249\/MSS.0b013e318206476e","volume":"43","author":"SG Trost","year":"2011","unstructured":"Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc. 2011;43(7):1360\u20138.","journal-title":"Med Sci Sports Exerc"},{"issue":"8","key":"820_CR166","doi-asserted-by":"publisher","first-page":"2726","DOI":"10.3390\/s21082726","volume":"21","author":"R Moore","year":"2021","unstructured":"Moore R, Archer KR, Choi L. Statistical and machine learning models for classification of human wear and delivery days in accelerometry data. Sensors. 2021;21(8):2726.","journal-title":"Sensors"},{"issue":"3","key":"820_CR167","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1152\/japplphysiol.00628.2015","volume":"120","author":"JC Br\u00f8nd","year":"2016","unstructured":"Br\u00f8nd JC, Arvidsson D. Sampling frequency affects the processing of Actigraph raw acceleration data to activity counts. J Appl Physiol. 2016;120(3):362\u20139.","journal-title":"J Appl Physiol"},{"issue":"3","key":"820_CR168","doi-asserted-by":"publisher","first-page":"e0150534","DOI":"10.1371\/journal.pone.0150534","volume":"11","author":"JA Banda","year":"2016","unstructured":"Banda JA, Haydel KF, Davila T, Desai M, Bryson S, Haskell WL, et al. Effects of varying epoch lengths, wear time algorithms, and activity cut-points on estimates of child sedentary behavior and physical activity from accelerometer data. PLoS ONE. 2016;11(3):e0150534.","journal-title":"PLoS ONE"},{"issue":"3","key":"820_CR169","first-page":"326","volume":"54","author":"A Aibar","year":"2014","unstructured":"Aibar A, Bois J, Zaragoza J, Generelo E, Juli\u00e1n J, Paillard T. Do epoch lengths affect adolescents\u2019 compliance with physical activity guidelines? J Sports Med Phys Fitness. 2014;54(3):326\u201334.","journal-title":"J Sports Med Phys Fitness"},{"issue":"1","key":"820_CR170","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1139\/apnm-2013-0173","volume":"39","author":"C Tudor-Locke","year":"2014","unstructured":"Tudor-Locke C, Barreira TV, Schuna JM Jr, Mire EF, Katzmarzyk PT. Fully automated waist-worn accelerometer algorithm for detecting children\u2019s sleep-period time separate from 24-h physical activity or sedentary behaviors. Appl Physiol Nutr Metab. 2014;39(1):53\u20137.","journal-title":"Appl Physiol Nutr Metab"},{"issue":"1","key":"820_CR171","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1479-5868-10-140","volume":"10","author":"M Toftager","year":"2013","unstructured":"Toftager M, Kristensen PL, Oliver M, Duncan S, Christiansen LB, Boyle E, et al. Accelerometer data reduction in adolescents: effects on sample retention and bias. Int J Behav Nutr Phys Act. 2013;10(1):1\u201312.","journal-title":"Int J Behav Nutr Phys Act"},{"issue":"2","key":"820_CR172","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1093\/sleep\/21.2.207","volume":"21","author":"CP Pollak","year":"1998","unstructured":"Pollak CP, Stokes PE, Wagner DR. Direct comparison of two widely used activity recorders. Sleep. 1998;21(2):207\u201312.","journal-title":"Sleep"},{"issue":"9","key":"820_CR173","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1016\/j.sleep.2014.04.015","volume":"15","author":"M Zinkhan","year":"2014","unstructured":"Zinkhan M, Berger K, Hense S, Nagel M, Obst A, Koch B, et al. Agreement of different methods for assessing sleep characteristics: a comparison of two actigraphs, wrist and hip placement, and self-report with polysomnography. Sleep Med. 2014;15(9):1107\u201314.","journal-title":"Sleep Med"},{"issue":"3","key":"820_CR174","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1136\/thx.50.3.284","volume":"50","author":"H Middelkoop","year":"1995","unstructured":"Middelkoop H, Neven AK, Van Hilten J, Ruwhof C, Kamphuisen H. Wrist actigraphic assessment of sleep in 116 community based subjects suspected of obstructive sleep apnoea syndrome. Thorax. 1995;50(3):284\u20139.","journal-title":"Thorax"},{"key":"820_CR175","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1111\/j.1479-8425.2012.00578.x","volume":"10","author":"MF Hjorth","year":"2012","unstructured":"Hjorth MF, Chaput J-P, Damsgaard CT, Dalskov S-M, Michaelsen KF, Tetens I, et al. Measure of sleep and physical activity by a single accelerometer: can a waist-worn Actigraph adequately measure sleep in children? Sleep Biol Rhythms. 2012;10:328\u201335.","journal-title":"Sleep Biol Rhythms"},{"issue":"23","key":"820_CR176","doi-asserted-by":"publisher","first-page":"1507","DOI":"10.1136\/bjsports-2015-095947","volume":"52","author":"AH Montoye","year":"2018","unstructured":"Montoye AH, Moore RW, Bowles HR, Korycinski R, Pfeiffer KA. Reporting accelerometer methods in physical activity intervention studies: a systematic review and recommendations for authors. Br J Sports Med. 2018;52(23):1507\u201316.","journal-title":"Br J Sports Med"},{"issue":"3","key":"820_CR177","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1123\/jmpb.2018-0063","volume":"2","author":"JH Migueles","year":"2019","unstructured":"Migueles JH, Rowlands AV, Huber F, Sabia S, van Hees VT. GGIR: a research community\u2013driven open source R package for generating physical activity and sleep outcomes from multi-day raw accelerometer data. J Meas Phys Behav. 2019;2(3):188\u201396.","journal-title":"J Meas Phys Behav"},{"issue":"3","key":"820_CR178","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1123\/jpah.2019-0088","volume":"17","author":"A Narayanan","year":"2020","unstructured":"Narayanan A, Desai F, Stewart T, Duncan S, Mackay L. Application of raw accelerometer data and machine-learning techniques to characterize human movement behavior: a systematic scoping review. J Phys Act Health. 2020;17(3):360\u201383.","journal-title":"J Phys Act Health"},{"issue":"1","key":"820_CR179","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1123\/jmpb.2022-0035","volume":"6","author":"I-M Lee","year":"2023","unstructured":"Lee I-M, Moore CC, Evenson KR. Maximizing the utility and comparability of accelerometer data from large-scale epidemiologic studies. J Meas Phys Behav. 2023;6(1):6\u201312.","journal-title":"J Meas Phys Behav"},{"issue":"1","key":"820_CR180","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1186\/s40798-019-0225-9","volume":"5","author":"AV Rowlands","year":"2019","unstructured":"Rowlands AV, Dawkins NP, Maylor B, Edwardson CL, Fairclough SJ, Davies MJ, et al. Enhancing the value of accelerometer-assessed physical activity: meaningful visual comparisons of data-driven translational accelerometer metrics. Sports Med-open. 2019;5(1):47.","journal-title":"Sports Med-open"},{"issue":"6","key":"820_CR181","doi-asserted-by":"publisher","first-page":"e0218595","DOI":"10.1371\/journal.pone.0218595","volume":"14","author":"KM Full","year":"2018","unstructured":"Full KM, Moran K, Carlson J, Godbole S, Natarajan L, Hipp A, et al. Latent profile analysis of accelerometer-measured sleep, physical activity, and sedentary time and differences in health characteristics in adult women. PLoS ONE. 2018;14(6):e0218595.","journal-title":"PLoS ONE"},{"key":"820_CR182","unstructured":"ActivPAL. VANE algorithm PAL KNOWLEDGE BASE: ActivPAL; 2021 Available from: https:\/\/kb.palt.com\/articles\/vane\/#:~:text=The%20VANE%20algorithm%20is%20the,sitting%2C%20standing%20and%20stepping%20events."},{"issue":"6","key":"820_CR183","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1249\/01.MSS.0000128144.91337.38","volume":"36","author":"ML Fruin","year":"2004","unstructured":"Fruin ML, Rankin JW. Validity of a multi-sensor armband in estimating rest and exercise energy expenditure. Med Sci Sports Exerc. 2004;36(6):1063\u20139.","journal-title":"Med Sci Sports Exerc"},{"issue":"11","key":"820_CR184","doi-asserted-by":"publisher","first-page":"e0142533","DOI":"10.1371\/journal.pone.0142533","volume":"10","author":"VT Van Hees","year":"2015","unstructured":"Van Hees VT, Sabia S, Anderson KN, Denton SJ, Oliver J, Catt M, et al. A novel, open access method to assess sleep duration using a wrist-worn accelerometer. PLoS ONE. 2015;10(11):e0142533.","journal-title":"PLoS ONE"},{"issue":"1","key":"820_CR185","doi-asserted-by":"publisher","first-page":"12975","DOI":"10.1038\/s41598-018-31266-z","volume":"8","author":"VT van Hees","year":"2018","unstructured":"van Hees VT, Sabia S, Jones SE, Wood AR, Anderson KN, Kivim\u00e4ki M, et al. Estimating sleep parameters using an accelerometer without sleep diary. Sci Rep. 2018;8(1):12975.","journal-title":"Sci Rep"},{"issue":"1","key":"820_CR186","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1139\/apnm-2013-0173","volume":"39","author":"C Tudor-Locke","year":"2014","unstructured":"Tudor-Locke C, Barreira TV, Schuna JM Jr, Mire EF, Katzmarzyk PT. Fully automated waist-worn accelerometer algorithm for detecting children\u2019s sleep-period time separate from 24-h physical activity or sedentary behaviors. Appl Physiol Nutr Metab. 2014;39(1):53\u20137.","journal-title":"Appl Physiol Nutr Metab"},{"issue":"1","key":"820_CR187","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.slsci.2015.02.003","volume":"8","author":"M Shin","year":"2015","unstructured":"Shin M, Swan P, Chow CM. The validity of Actiwatch2 and SenseWear armband compared against polysomnography at different ambient temperature conditions. Sleep Sci. 2015;8(1):9\u201315.","journal-title":"Sleep Sci"},{"issue":"7","key":"820_CR188","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1080\/02640414.2015.1068438","volume":"34","author":"K Meredith-Jones","year":"2016","unstructured":"Meredith-Jones K, Williams S, Galland B, Kennedy G, Taylor R. 24 h accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake. J Sports Sci. 2016;34(7):679\u201385.","journal-title":"J Sports Sci"},{"issue":"5","key":"820_CR189","doi-asserted-by":"publisher","first-page":"937","DOI":"10.1249\/MSS.0000000000000486","volume":"47","author":"TV Barreira","year":"2015","unstructured":"Barreira TV, Schuna JM Jr, Mire EF, Katzmarzyk PT, Chaput J-P, Leduc G, et al. Identifying children\u2019s nocturnal sleep using 24-h waist accelerometry. Med Sci Sports Exerc. 2015;47(5):937\u201343.","journal-title":"Med Sci Sports Exerc"},{"key":"820_CR190","first-page":"1","volume":"2","author":"NR Oakley","year":"1997","unstructured":"Oakley NR. Validation with polysomnography of the Sleepwatch sleep\/wake scoring algorithm used by the Actiwatch activity monitoring system Mini Mitter Co. Sleep. 1997;2:1\u2013140.","journal-title":"Sleep"},{"key":"820_CR191","unstructured":"ActivPAL. CREA Algorithm PAL Knowledge Base: ActivPal; 2021 Available from: https:\/\/kb.palt.com\/articles\/crea\/."},{"issue":"6","key":"820_CR192","doi-asserted-by":"publisher","first-page":"1085","DOI":"10.1249\/MSS.0b013e31820513be","volume":"43","author":"DW Esliger","year":"2011","unstructured":"Esliger DW, Rowlands AV, Hurst TL, Catt M, Murray P, Eston RG. Validation of the GENEA accelerometer. Med Sci Sports Exerc. 2011;43(6):1085\u201393.","journal-title":"Med Sci Sports Exerc"},{"issue":"5","key":"820_CR193","doi-asserted-by":"publisher","first-page":"055002","DOI":"10.1088\/1361-6579\/aabf26","volume":"39","author":"V Cabanas-S\u00e1nchez","year":"2018","unstructured":"Cabanas-S\u00e1nchez V, Higueras-Fresnillo S, De la C\u00e1mara M\u00c1, Veiga OL, Martinez-Gomez D. Automated algorithms for detecting sleep period time using a multi-sensor pattern-recognition activity monitor from 24 h free-living data in older adults. Physiol Meas. 2018;39(5):055002.","journal-title":"Physiol Meas"},{"issue":"10","key":"820_CR194","doi-asserted-by":"publisher","first-page":"1653","DOI":"10.1088\/0967-3334\/37\/10\/1653","volume":"37","author":"EA Winkler","year":"2016","unstructured":"Winkler EA, Bodicoat DH, Healy GN, Bakrania K, Yates T, Owen N, et al. Identifying adults\u2019 valid waking wear time by automated estimation in activPAL data collected with a 24 h wear protocol. Physiol Meas. 2016;37(10):1653.","journal-title":"Physiol Meas"},{"issue":"11","key":"820_CR195","doi-asserted-by":"publisher","first-page":"2317","DOI":"10.1038\/oby.2011.364","volume":"20","author":"SG Trost","year":"2012","unstructured":"Trost SG, Fees BS, Haar SJ, Murray AD, Crowe LK. Identification and validity of accelerometer cut-points for toddlers. Obesity. 2012;20(11):2317\u20139.","journal-title":"Obesity"},{"issue":"3","key":"820_CR196","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1123\/jpah.9.3.389","volume":"9","author":"O Ekblom","year":"2012","unstructured":"Ekblom O, Nyberg G, Bak EE, Ekelund U, Marcus C. Validity and comparability of a wrist-worn accelerometer in children. J Phys Act Health. 2012;9(3):389\u201393.","journal-title":"J Phys Act Health"},{"issue":"6","key":"820_CR197","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1249\/MSS.0000000000000209","volume":"46","author":"NF Butte","year":"2014","unstructured":"Butte NF, Wong WW, Lee JS, Adolph AL, Puyau MR, Zakeri IF. Prediction of energy expenditure and physical activity in preschoolers. Med Sci Sports Exerc. 2014;46(6):1216\u201326.","journal-title":"Med Sci Sports Exerc"},{"issue":"9","key":"820_CR198","first-page":"1625","volume":"36","author":"MR Puyau","year":"2004","unstructured":"Puyau MR, Adolph AL, Vohra FA, Zakeri I, Butte NF. Prediction of activity energy expenditure using accelerometers in children. Med Sci Sports Exerc. 2004;36(9):1625\u201331.","journal-title":"Med Sci Sports Exerc"},{"issue":"1","key":"820_CR199","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1080\/17461391.2012.732614","volume":"14","author":"M Romanzini","year":"2014","unstructured":"Romanzini M, Petroski EL, Ohara D, Dourado AC, Reichert FF. Calibration of ActiGraph GT3X, Actical and RT3 accelerometers in adolescents. Eur J Sport Sci. 2014;14(1):91\u20139.","journal-title":"Eur J Sport Sci"},{"issue":"12","key":"820_CR200","doi-asserted-by":"publisher","first-page":"e0167472","DOI":"10.1371\/journal.pone.0167472","volume":"11","author":"T White","year":"2016","unstructured":"White T, Westgate K, Wareham NJ, Brage S. Estimation of physical activity energy expenditure during free-living from wrist accelerometry in UK adults. PLoS ONE. 2016;11(12):e0167472.","journal-title":"PLoS ONE"},{"issue":"5","key":"820_CR201","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/j.jsams.2011.04.003","volume":"14","author":"JE Sasaki","year":"2011","unstructured":"Sasaki JE, John D, Freedson PS, Sasaki JE, John D, Freedson PS. Validation and comparison of ActiGraph activity monitors. J Sci Med Sport. 2011;14(5):411\u20136.","journal-title":"J Sci Med Sport"},{"issue":"3","key":"820_CR202","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.jsams.2013.07.002","volume":"17","author":"N Aguilar-Far\u00edas","year":"2014","unstructured":"Aguilar-Far\u00edas N, Brown WJ, Peeters GG. ActiGraph GT3X+ cut-points for identifying sedentary behaviour in older adults in free-living environments. J Sci Med Sport. 2014;17(3):293\u20139.","journal-title":"J Sci Med Sport"},{"issue":"6","key":"820_CR203","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1249\/MSS.0000000000001561","volume":"50","author":"AV Rowlands","year":"2018","unstructured":"Rowlands AV, Edwardson CL, Davies MJ, Khunti K, Harrington DM, Yates T. Beyond cut points: accelerometer metrics that capture the physical activity profile. Med Sci Sports Exerc. 2018;50(6):1323\u201332.","journal-title":"Med Sci Sports Exerc"},{"issue":"1","key":"820_CR204","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12889-016-3569-9","volume":"16","author":"ER Hager","year":"2016","unstructured":"Hager ER, Gormley CE, Latta LW, Treuth MS, Caulfield LE, Black MM. Toddler physical activity study: laboratory and community studies to evaluate accelerometer validity and correlates. BMC Public Health. 2016;16(1):1\u201310.","journal-title":"BMC Public Health"},{"issue":"11","key":"820_CR205","doi-asserted-by":"publisher","first-page":"e79124","DOI":"10.1371\/journal.pone.0079124","volume":"8","author":"X Janssen","year":"2013","unstructured":"Janssen X, Cliff DP, Reilly JJ, Hinkley T, Jones RA, Batterham M, et al. Predictive validity and classification accuracy of ActiGraph energy expenditure equations and cut-points in young children. PLoS ONE. 2013;8(11):e79124.","journal-title":"PLoS ONE"},{"issue":"3","key":"820_CR206","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1249\/MSS.0b013e3181cea116","volume":"42","author":"RR Pate","year":"2010","unstructured":"Pate RR, O\u2019Neill JR, Mitchell J. Measurement of physical activity in preschool children. Med Sci Sports Exerc. 2010;42(3):508\u201312.","journal-title":"Med Sci Sports Exerc"},{"issue":"7","key":"820_CR207","doi-asserted-by":"publisher","first-page":"944","DOI":"10.1123\/jpah.9.7.944","volume":"9","author":"AL Adolph","year":"2012","unstructured":"Adolph AL, Puyau MR, Vohra FA, Nicklas TA, Zakeri IF, Butte NF. Validation of uniaxial and triaxial accelerometers for the assessment of physical activity in preschool children. J Phys Act Health. 2012;9(7):944\u201353.","journal-title":"J Phys Act Health"},{"issue":"2","key":"820_CR208","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1111\/ijpo.12033","volume":"11","author":"J Chandler","year":"2016","unstructured":"Chandler J, Brazendale K, Beets M, Mealing B. Classification of physical activity intensities using a wrist-worn accelerometer in 8\u201312-year-old children. Pediatr Obes. 2016;11(2):120\u20137.","journal-title":"Pediatr Obes"},{"key":"820_CR209","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s004210050310","volume":"77","author":"O Gavarry","year":"1997","unstructured":"Gavarry O, Bernard T, Giacomoni M, Seymat M, Euzet J, Falgairette G. Continuous heart rate monitoring over 1 week in teenagers aged 11\u201316 years. Eur J Appl Physiol. 1997;77:125\u201332.","journal-title":"Eur J Appl Physiol"},{"issue":"2","key":"820_CR210","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.jsams.2012.05.013","volume":"16","author":"LR Phillips","year":"2013","unstructured":"Phillips LR, Parfitt G, Rowlands AV. Calibration of the GENEA accelerometer for assessment of physical activity intensity in children. J Sci Med Sport. 2013;16(2):124\u20138.","journal-title":"J Sci Med Sport"},{"issue":"8","key":"820_CR211","doi-asserted-by":"publisher","first-page":"1561","DOI":"10.1249\/MSS.0b013e31820ce174","volume":"43","author":"S Kozey-Keadle","year":"2011","unstructured":"Kozey-Keadle S, Libertine A, Lyden K, Staudenmayer J, Freedson PS. Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc. 2011;43(8):1561\u20137.","journal-title":"Med Sci Sports Exerc"},{"issue":"5","key":"820_CR212","doi-asserted-by":"publisher","first-page":"944","DOI":"10.1249\/MSS.0000000000000502","volume":"47","author":"SE Crouter","year":"2015","unstructured":"Crouter SE, Flynn JI, Bassett DR Jr. Estimating physical activity in youth using a wrist accelerometer. Med Sci Sports Exerc. 2015;47(5):944\u201351.","journal-title":"Med Sci Sports Exerc"},{"issue":"12","key":"820_CR213","doi-asserted-by":"publisher","first-page":"172","DOI":"10.3390\/children5120172","volume":"5","author":"L Hurter","year":"2018","unstructured":"Hurter L, Fairclough SJ, Knowles ZR, Porcellato LA, Cooper-Ryan AM, Boddy LM. Establishing raw acceleration thresholds to classify sedentary and stationary behaviour in children. Children. 2018;5(12):172.","journal-title":"Children"},{"issue":"3","key":"820_CR214","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1038\/oby.2002.24","volume":"10","author":"MR Puyau","year":"2002","unstructured":"Puyau MR, Adolph AL, Vohra FA, Butte NF. Validation and calibration of physical activity monitors in children. Obes Res. 2002;10(3):150\u20137.","journal-title":"Obes Res"},{"issue":"9","key":"820_CR215","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1093\/aje\/kwaa047","volume":"189","author":"M Hamer","year":"2020","unstructured":"Hamer M, Stamatakis E, Chastin S, Pearson N, Brown M, Gilbert E, et al. Feasibility of measuring sedentary time using data from a thigh-worn accelerometer: the 1970 British cohort study. Am J Epidemiol. 2020;189(9):963\u201371.","journal-title":"Am J Epidemiol"},{"issue":"1","key":"820_CR216","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1080\/02701367.2006.10599333","volume":"77","author":"DP Heil","year":"2006","unstructured":"Heil DP. Predicting activity energy expenditure using the Actical\u00ae activity monitor. Res Q Exerc Sport. 2006;77(1):64\u201380.","journal-title":"Res Q Exerc Sport"},{"key":"820_CR217","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1016\/j.pmedr.2015.08.021","volume":"2","author":"KR Evenson","year":"2015","unstructured":"Evenson KR, Wen F, Herring AH, Di C, LaMonte MJ, Tinker LF, et al. Calibrating physical activity intensity for hip-worn accelerometry in women age 60 to 91 years: the women\u2019s health initiative OPACH calibration study. Prevent Med Rep. 2015;2:750\u20136.","journal-title":"Prevent Med Rep"},{"issue":"8","key":"820_CR218","doi-asserted-by":"publisher","first-page":"e0134813","DOI":"10.1371\/journal.pone.0134813","volume":"10","author":"H V\u00e4h\u00e4-Ypy\u00e4","year":"2015","unstructured":"V\u00e4h\u00e4-Ypy\u00e4 H, Vasankari T, Husu P, M\u00e4ntt\u00e4ri A, Vuorimaa T, Suni J, et al. Validation of cut-points for evaluating the intensity of physical activity with accelerometry-based mean amplitude deviation (MAD). PLoS ONE. 2015;10(8):e0134813.","journal-title":"PLoS ONE"},{"issue":"1","key":"820_CR219","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1123\/japa.17.1.17","volume":"17","author":"JL Copeland","year":"2009","unstructured":"Copeland JL, Esliger DW. Accelerometer assessment of physical activity in active, healthy older adults. J Aging Phys Act. 2009;17(1):17\u201330.","journal-title":"J Aging Phys Act"},{"issue":"7","key":"820_CR220","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1093\/aje\/kwm390","volume":"167","author":"CE Matthews","year":"2008","unstructured":"Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, et al. Amount of time spent in sedentary behaviors in the United States, 2003\u20132004. Am J Epidemiol. 2008;167(7):875\u201381.","journal-title":"Am J Epidemiol"},{"issue":"12","key":"820_CR221","doi-asserted-by":"publisher","first-page":"1881","DOI":"10.1111\/sms.12813","volume":"27","author":"C Powell","year":"2017","unstructured":"Powell C, Carson BP, Dowd KP, Donnelly AE. Simultaneous validation of five activity monitors for use in adult populations. Scand J Med Sci Sports. 2017;27(12):1881\u201392.","journal-title":"Scand J Med Sci Sports"},{"issue":"1","key":"820_CR222","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1123\/jpah.2011-0347","volume":"11","author":"J Skotte","year":"2014","unstructured":"Skotte J, Korsh\u00f8j M, Kristiansen J, Hanisch C, Holtermann A. Detection of physical activity types using triaxial accelerometers. J Phys Act Health. 2014;11(1):76\u201384.","journal-title":"J Phys Act Health"},{"issue":"1","key":"820_CR223","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1249\/mss.0b013e31815a51b3","volume":"40","author":"RP Troiano","year":"2008","unstructured":"Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181.","journal-title":"Med Sci Sports Exerc"},{"key":"820_CR224","doi-asserted-by":"publisher","first-page":"165","DOI":"10.3389\/fnagi.2015.00165","volume":"7","author":"GJ Landry","year":"2015","unstructured":"Landry GJ, Falck RS, Beets MW, Liu-Ambrose T. Measuring physical activity in older adults: calibrating cut-points for the MotionWatch 8\u00a9. Front Aging Neurosci. 2015;7:165.","journal-title":"Front Aging Neurosci"},{"key":"820_CR225","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.gaitpost.2018.11.023","volume":"68","author":"P Lee","year":"2019","unstructured":"Lee P, Tse CY. Calibration of wrist-worn ActiWatch 2 and ActiGraph wGT3X for assessment of physical activity in young adults. Gait Posture. 2019;68:141\u20139.","journal-title":"Gait Posture"},{"issue":"9","key":"820_CR226","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1123\/jpah.2014-0136","volume":"12","author":"JD Reece","year":"2015","unstructured":"Reece JD, Barry V, Fuller DK, Caputo J. Validation of the sensewear armband as a measure of sedentary behavior and light activity. J Phys Act Health. 2015;12(9):1229\u201337.","journal-title":"J Phys Act Health"}],"container-title":["Sports Medicine - Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40798-025-00820-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s40798-025-00820-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40798-025-00820-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T12:06:33Z","timestamp":1741867593000},"score":1,"resource":{"primary":{"URL":"https:\/\/sportsmedicine-open.springeropen.com\/articles\/10.1186\/s40798-025-00820-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,13]]},"references-count":226,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["820"],"URL":"https:\/\/doi.org\/10.1186\/s40798-025-00820-1","relation":{},"ISSN":["2198-9761"],"issn-type":[{"value":"2198-9761","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,13]]},"assertion":[{"value":"9 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 January 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}],"article-number":"25"}}