{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T06:32:33Z","timestamp":1790404353178,"version":"4.1.0"},"reference-count":37,"publisher":"Human Kinetics","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,1]]},"abstract":"<jats:p><jats:italic><jats:bold>Background<\/jats:bold>:<\/jats:italic> The ActiPASS software was developed from the open-source Acti4 activity classification algorithm for thigh-worn accelerometry. However, the original algorithm has not been validated in children or compared with a child-specific set of algorithm thresholds. This study aims to evaluate the accuracy of ActiPASS in classifying activity types in children using 2 published sets of Acti4 thresholds. <jats:italic><jats:bold>Methods<\/jats:bold>:<\/jats:italic> Laboratory and free-living data from 2 previous studies were used. The laboratory condition included 41 school-aged children (11.0\u2009[4.8]\u00a0y; 46.5% male), and the free-living condition included 15 children (10.0\u2009[2.6]\u00a0y; 66.6% male). Participants wore a single accelerometer on the dominant thigh, and annotated video recordings were used as a reference. Postures and activity types were classified with ActiPASS using the original adult thresholds and a child-specific set of thresholds. <jats:italic><jats:bold>Results<\/jats:bold>:<\/jats:italic> Using the original adult thresholds, the mean balanced accuracy (95% CI) for the laboratory condition ranged from 0.62 (0.56\u20130.67) for lying to 0.97 (0.94\u20130.99) for running. For the free-living condition, accuracy ranged from 0.61 (0.48\u20130.75) for lying to 0.96 (0.92\u20130.99) for cycling. Mean balanced accuracy for overall sedentary behavior (sitting and lying) was\u2009\u22650.97 (0.95\u20130.99) across all thresholds and conditions. No meaningful differences were found between the 2 sets of thresholds, except for superior balanced accuracy of the adult thresholds for walking under laboratory conditions. <jats:italic><jats:bold>Conclusions<\/jats:bold>:<\/jats:italic> The results indicate that ActiPASS can accurately classify different basic types of physical activity and sedentary behavior in children using thigh-worn accelerometer data.<\/jats:p>","DOI":"10.1123\/jpah.2024-0259","type":"journal-article","created":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T21:20:58Z","timestamp":1724102458000},"page":"1092-1099","source":"Crossref","is-referenced-by-count":8,"title":["Assessing the Accuracy of Activity Classification Using Thigh-Worn Accelerometry: A Validation Study of ActiPASS in School-Aged Children"],"prefix":"10.1123","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4299-4739","authenticated-orcid":true,"given":"Claas","family":"Lendt","sequence":"first","affiliation":[{"name":"Human Potential Centre, School of Sport and Recreation, Auckland University of Technology, Auckland, New Zealand"},{"name":"Institute for Movement Therapy and Movement-Oriented Prevention and Rehabilitation, German Sport University Cologne, Cologne, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1377-1923","authenticated-orcid":true,"given":"Pasan","family":"Hettiarachchi","sequence":"additional","affiliation":[{"name":"Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9354-6704","authenticated-orcid":true,"given":"Peter J.","family":"Johansson","sequence":"additional","affiliation":[{"name":"Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala University, Uppsala, Sweden"},{"name":"Occupational and Environmental Medicine, Uppsala University Hospital, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8402-2930","authenticated-orcid":true,"given":"Scott","family":"Duncan","sequence":"additional","affiliation":[{"name":"Human Potential Centre, School of Sport and Recreation, Auckland University of Technology, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2193-5019","authenticated-orcid":true,"given":"Charlotte","family":"Lund Rasmussen","sequence":"additional","affiliation":[{"name":"School of Allied Health, Curtin University, Perth, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1577-803X","authenticated-orcid":true,"given":"Anantha","family":"Narayanan","sequence":"additional","affiliation":[{"name":"Human Potential Centre, School of Sport and Recreation, Auckland University of Technology, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5915-3843","authenticated-orcid":true,"given":"Tom","family":"Stewart","sequence":"additional","affiliation":[{"name":"Human Potential Centre, School of Sport and Recreation, Auckland University of Technology, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"issue":"1","key":"r1","series-title":"Int J Behav Nutr Phys Act","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1186\/s12966-020-01037-z","article-title":"2020 WHO guidelines on physical activity and sedentary behaviour for children and adolescents aged 5\u201317\u00a0years: summary of the evidence","volume":"17","author":"Chaput JP","year":"2020","unstructured":"Chaput JP, Willumsen J, Bull F, et\u00a0al. 2020 WHO guidelines on physical activity and sedentary behaviour for children and adolescents aged 5\u201317\u00a0years: summary of the evidence. Int J Behav Nutr Phys Act. 2020;17(1):141. doi:10.1186\/s12966-020-01037-z"},{"issue":"6 suppl 3","key":"r2","series-title":"Appl Physiol Nutr Metab","doi-asserted-by":"publisher","first-page":"S197","DOI":"10.1139\/apnm-2015-0663","article-title":"Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth","volume":"41","author":"Poitras VJ","year":"2016","unstructured":"Poitras VJ, Gray CE, Borghese MM, et\u00a0al. Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Appl Physiol Nutr Metab. 2016;41(6 suppl 3):S197\u2013S239. doi:10.1139\/apnm-2015-0663"},{"issue":"6","key":"r3","series-title":"J Sport Health Sci","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1016\/j.jshs.2020.07.004","article-title":"The whole day matters: Understanding 24-hour movement guideline adherence and relationships with health indicators across the lifespan","volume":"9","author":"Rollo S","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. doi:10.1016\/j.jshs.2020.07.004"},{"issue":"1","key":"r4","series-title":"BMJ Open Sport Exerc Med","doi-asserted-by":"publisher","DOI":"10.1136\/bmjsem-2020-000874","article-title":"Thigh-worn accelerometry for measuring movement and posture across the 24-hour cycle: a scoping review and expert statement","volume":"6","author":"Stevens ML","year":"2020","unstructured":"Stevens ML, Gupta N, Inan Eroglu E, et\u00a0al. Thigh-worn accelerometry for measuring movement and posture across the 24-hour cycle: a scoping review and expert statement. BMJ Open Sport Exerc Med. 2020;6(1):e000874. doi:10.1136\/bmjsem-2020-000874"},{"issue":"1","key":"r5","series-title":"Int J Behav Nutr Phys Act","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1186\/s12966-017-0525-8","article-title":"Sedentary Behavior Research Network (SBRN)\u2014Terminology Consensus Project process and outcome","volume":"14","author":"Tremblay MS","year":"2017","unstructured":"Tremblay MS, Aubert S, Barnes JD, et\u00a0al. Sedentary Behavior Research Network (SBRN)\u2014Terminology Consensus Project process and outcome. Int J Behav Nutr Phys Act. 2017;14(1):75. doi:10.1186\/s12966-017-0525-8"},{"issue":"2","key":"r6","series-title":"BMJ Open Sport Exerc Med","doi-asserted-by":"publisher","DOI":"10.1136\/bmjsem-2021-001267","article-title":"Assessment of 24-hour physical behaviour in children and adolescents via wearables: a systematic review of free-living validation studies","volume":"8","author":"Giurgiu M","year":"2022","unstructured":"Giurgiu M, Kolb S, Nigg C, et\u00a0al. Assessment of 24-hour physical behaviour in children and adolescents via wearables: a systematic review of free-living validation studies. BMJ Open Sport Exerc Med. 2022;8(2):e001267. doi:10.1136\/bmjsem-2021-001267"},{"issue":"24","key":"r7","series-title":"Sensors","doi-asserted-by":"publisher","DOI":"10.3390\/s23249661","article-title":"Objective measurement of posture and movement in young children using wearable sensors and customised mathematical approaches: a systematic review","volume":"23","author":"Hendry D","year":"2023","unstructured":"Hendry D, Rohl AL, Rasmussen CL, et\u00a0al. Objective measurement of posture and movement in young children using wearable sensors and customised mathematical approaches: a systematic review. Sensors. 2023;23(24):9661. doi:10.3390\/s23249661"},{"issue":"1","key":"r8","series-title":"Int J Behav Nutr Phys Act","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1186\/s12966-019-0835-0","article-title":"Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS)","volume":"16","author":"Crowley P","year":"2019","unstructured":"Crowley P, Skotte J, Stamatakis E, et\u00a0al. Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS). Int J Behav Nutr Phys Act. 2019;16(1):65. doi:10.1186\/s12966-019-0835-0"},{"issue":"12","key":"r9","series-title":"Med Sci Sports Exerc","doi-asserted-by":"publisher","first-page":"2595","DOI":"10.1249\/MSS.0000000000001717","article-title":"A dual-accelerometer system for classifying physical activity in children and adults","volume":"50","author":"Stewart T","year":"2018","unstructured":"Stewart T, Narayanan A, Hedayatrad L, Neville J, Mackay L, Duncan S. A dual-accelerometer system for classifying physical activity in children and adults. Med Sci Sports Exerc. 2018;50(12):2595\u20132602. doi:10.1249\/MSS.0000000000001717"},{"issue":"5","key":"r10","series-title":"Med Sci Sports Exerc","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1249\/MSS.0000000000000840","article-title":"Hip and wrist accelerometer algorithms for free-living behavior classification","volume":"48","author":"Ellis K","year":"2016","unstructured":"Ellis K, Kerr J, Godbole S, Staudenmayer J, Lanckriet G. Hip and wrist accelerometer algorithms for free-living behavior classification. Med Sci Sports Exerc. 2016;48(5):933\u2013940. doi:10.1249\/MSS.0000000000000840"},{"issue":"1","key":"r11","series-title":"Sci Rep","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-26174-1","article-title":"Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants","volume":"8","author":"Willetts M","year":"2018","unstructured":"Willetts M, Hollowell S, Aslett L, Holmes C, Doherty A. Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants. Sci Rep. 2018;8(1):7961. doi:10.1038\/s41598-018-26174-1"},{"issue":"1","key":"r12","series-title":"Int J Epidemiol","doi-asserted-by":"publisher","first-page":"e80","DOI":"10.1093\/ije\/dyac095","article-title":"Cohort profile update: The HUNT Study, Norway","volume":"52","author":"\u00c5svold BO","year":"2023","unstructured":"\u00c5svold BO, Langhammer A, Rehn TA, et\u00a0al. Cohort profile update: The HUNT Study, Norway. Int J Epidemiol. 2023;52(1):e80\u2013e91. doi:10.1093\/ije\/dyac095"},{"issue":"1","key":"r13","series-title":"Int J Behav Nutr Phys Act","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1186\/s12966-022-01358-1","article-title":"Sociodemographic differences in 24-hour time-use behaviours in New Zealand children","volume":"19","author":"Hedayatrad L","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. doi:10.1186\/s12966-022-01358-1"},{"issue":"4","key":"r14","series-title":"Scand J Public Health","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1177\/1403494818799613","article-title":"Lolland-Falster Health Study: study protocol for a household-based prospective cohort study","volume":"48","author":"Jepsen R","year":"2020","unstructured":"Jepsen R, Egholm CL, Brodersen J, et\u00a0al. Lolland-Falster Health Study: study protocol for a household-based prospective cohort study. Scand J Public Health. 2020;48(4):382\u2013390. doi:10.1177\/1403494818799613"},{"issue":"8","key":"r15","series-title":"Br J Sports Med","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1136\/bjsports-2019-100786","article-title":"Emerging collaborative research platforms for the next generation of physical activity, sleep and exercise medicine guidelines: the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS)","volume":"54","author":"Stamatakis E","year":"2020","unstructured":"Stamatakis E, Koster A, Hamer M, et\u00a0al. Emerging collaborative research platforms for the next generation of physical activity, sleep and exercise medicine guidelines: the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS). Br J Sports Med. 2020;54(8):435\u2013437. doi:10.1136\/bjsports-2019-100786"},{"issue":"3","key":"r16","series-title":"Sensors","doi-asserted-by":"publisher","DOI":"10.3390\/s21030904","article-title":"Validity of a non-proprietary algorithm for identifying lying down using raw data from thigh-worn triaxial accelerometers","volume":"21","author":"Hettiarachchi P","year":"2021","unstructured":"Hettiarachchi P, Aili K, Holtermann A, Stamatakis E, Svartengren M, Palm P. Validity of a non-proprietary algorithm for identifying lying down using raw data from thigh-worn triaxial accelerometers. Sensors. 2021;21(3):904. doi:10.3390\/s21030904"},{"key":"r17","doi-asserted-by":"publisher","DOI":"10.5281\/ZENODO.7701098","article-title":"ActiPASS","author":"Hettiarachchi P","year":"2023","unstructured":"Hettiarachchi P, Johansson P. ActiPASS. August 2023. doi:10.5281\/ZENODO.7701098"},{"issue":"2","key":"r18","series-title":"J Sleep Res","doi-asserted-by":"publisher","DOI":"10.1111\/jsr.13725","article-title":"Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh: an evaluation against polysomnography","volume":"32","author":"Johansson PJ","year":"2023","unstructured":"Johansson PJ, Crowley P, Axelsson J, et\u00a0al. Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh: an evaluation against polysomnography. J Sleep Res. 2023;32(2):e13725. doi:10.1111\/jsr.13725"},{"issue":"1","key":"r19","series-title":"J Phys Act Health","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1123\/jpah.2011-0347","article-title":"Detection of physical activity types using triaxial accelerometers","volume":"11","author":"Skotte J","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. doi:10.1123\/jpah.2011-0347"},{"issue":"6","key":"r20","series-title":"Ergonomics","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1080\/00140139.2014.998724","article-title":"Validity of the Acti4 method for detection of physical activity types in free-living settings: comparison with video analysis","volume":"58","author":"Stemland I","year":"2015","unstructured":"Stemland I, Ingebrigtsen J, Christiansen CS, et\u00a0al. Validity of the Acti4 method for detection of physical activity types in free-living settings: comparison with video analysis. Ergonomics. 2015;58(6):953\u2013965. doi:10.1080\/00140139.2014.998724"},{"issue":"7","key":"r21","series-title":"Children","doi-asserted-by":"publisher","first-page":"72","DOI":"10.3390\/children7070072","article-title":"Simple method for the objective activity type assessment with preschoolers, children and adolescents","volume":"7","author":"Br\u00f8nd JC","year":"2020","unstructured":"Br\u00f8nd JC, Gr\u00f8ntved A, Andersen LB, Arvidsson D, Olesen LG. Simple method for the objective activity type assessment with preschoolers, children and adolescents. Children. 2020;7(7):72. doi:10.3390\/children7070072"},{"key":"r22","article-title":"Acti4","year":"2024","unstructured":"The National Research Centre for the Working Environment (NFA). Acti4. 2024. Accessed April 11, 2024. https:\/\/github.com\/motus-nfa\/Acti4"},{"issue":"1","key":"r23","series-title":"Gait Posture","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.gaitpost.2012.10.005","article-title":"Age-related changes in spatiotemporal characteristics of gait accompany ongoing lower limb linear growth in late childhood and early adolescence","volume":"38","author":"Froehle AW","year":"2013","unstructured":"Froehle AW, Nahhas RW, Sherwood RJ, Duren DL. Age-related changes in spatiotemporal characteristics of gait accompany ongoing lower limb linear growth in late childhood and early adolescence. Gait Posture. 2013;38(1):14\u201319. doi:10.1016\/j.gaitpost.2012.10.005"},{"issue":"1","key":"r24","series-title":"Med Sci Sports Exerc","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1249\/MSS.0000000000002107","article-title":"A dual-accelerometer system for detecting human movement in a free-living environment","volume":"52","author":"Narayanan A","year":"2020","unstructured":"Narayanan A, Stewart T, Mackay L. A dual-accelerometer system for detecting human movement in a free-living environment. Med Sci Sports Exerc. 2020;52(1):252\u2013258. doi:10.1249\/MSS.0000000000002107"},{"issue":"7","key":"r25","series-title":"Int J Environ Res Public Health","doi-asserted-by":"publisher","first-page":"1296","DOI":"10.3390\/ijerph15071296","article-title":"Wear-time compliance with a dual-accelerometer system for capturing 24-h behavioural profiles in children and adults","volume":"15","author":"Duncan S","year":"2018","unstructured":"Duncan S, Stewart T, Mackay L, et\u00a0al. Wear-time compliance with a dual-accelerometer system for capturing 24-h behavioural profiles in children and adults. Int J Environ Res Public Health. 2018;15(7):1296. doi:10.3390\/ijerph15071296"},{"key":"r26","article-title":"OMGUI","year":"2022","unstructured":"Open Lab. OMGUI. 2022. Accessed March 1, 2024. https:\/\/github.com\/digitalinteraction\/openmovement\/wiki\/AX3-GUI"},{"issue":"7","key":"r27","series-title":"J Appl Physiol","doi-asserted-by":"publisher","first-page":"738","DOI":"10.1152\/japplphysiol.00421.2014","article-title":"Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents","volume":"117","author":"Van Hees VT","year":"2014","unstructured":"Van Hees VT, Fang Z, Langford J, et\u00a0al. Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents. J Appl Physiol. 2014;117(7):738\u2013744. doi:10.1152\/japplphysiol.00421.2014"},{"key":"r28","series-title":"R: A Language and Environment for Statistical Computing","year":"2023","unstructured":"R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; 2023. www.r-project.org"},{"issue":"1","key":"r29","series-title":"J Meas Phys Behav","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1123\/jmpb.2021-0015","article-title":"A machine learning classifier for detection of physical activity types and postures during free-living","volume":"5","author":"Bach K","year":"2022","unstructured":"Bach K, Kongsvold A, B\u00e5rdstu H, et\u00a0al. A machine learning classifier for detection of physical activity types and postures during free-living. J Meas Phys Behav. 2022;5(1):24\u201331. doi:10.1123\/jmpb.2021-0015"},{"issue":"8","key":"r30","series-title":"Scand J Med Sci Sports","doi-asserted-by":"publisher","first-page":"1888","DOI":"10.1111\/sms.13203","article-title":"Comparison of single\u2010 and dual\u2010monitor approaches to differentiate sitting from lying in free\u2010living conditions","volume":"28","author":"Smits EJ","year":"2018","unstructured":"Smits EJ, Winkler EAH, Healy GN, Dall PM, Granat MH, Hodges PW. Comparison of single\u2010 and dual\u2010monitor approaches to differentiate sitting from lying in free\u2010living conditions. Scand J Med Sci Sports. 2018;28(8):1888\u20131896. doi:10.1111\/sms.13203"},{"issue":"1","key":"r31","series-title":"Int J Behav Nutr Phys Act","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1186\/s12966-016-0402-x","article-title":"Criterion validity of the activPALTM and ActiGraph for assessing children\u2019s sitting and standing time in a school classroom setting","volume":"13","author":"Ridley K","year":"2016","unstructured":"Ridley K, Ridgers ND, Salmon J. Criterion validity of the activPALTM and ActiGraph for assessing children\u2019s sitting and standing time in a school classroom setting. Int J Behav Nutr Phys Act. 2016;13(1):75. doi:10.1186\/s12966-016-0402-x"},{"issue":"3","key":"r32","series-title":"J Sci Med Sport","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.jsams.2016.08.008","article-title":"Validation of thigh-based accelerometer estimates of postural allocation in 5\u201312\u00a0year-olds","volume":"20","author":"Van Loo CMT","year":"2017","unstructured":"Van Loo CMT, Okely AD, Batterham MJ, et\u00a0al. Validation of thigh-based accelerometer estimates of postural allocation in 5\u201312\u00a0year-olds. J Sci Med Sport. 2017;20(3):273\u2013277. doi:10.1016\/j.jsams.2016.08.008"},{"issue":"8","key":"r33","series-title":"Eur J Pediatr","doi-asserted-by":"publisher","first-page":"3639","DOI":"10.1007\/s00431-023-05014-z","article-title":"Validation of an accelerometer system for measuring physical activity and sedentary behavior in healthy children and adolescents","volume":"182","author":"Milther C","year":"2023","unstructured":"Milther C, Winther L, Stahlhut M, et\u00a0al. Validation of an accelerometer system for measuring physical activity and sedentary behavior in healthy children and adolescents. Eur J Pediatr. 2023;182(8):3639\u20133647. doi:10.1007\/s00431-023-05014-z"},{"issue":"2","key":"r34","series-title":"Int J Epidemiol","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1093\/ije\/dyaa281","article-title":"Cohort profile update: The Motorik-Modul (MoMo) Longitudinal Study\u2014physical fitness and physical activity as determinants of health development in German children and adolescents","volume":"50","author":"Woll A","year":"2021","unstructured":"Woll A, Klos L, Burchartz A, et\u00a0al. Cohort profile update: The Motorik-Modul (MoMo) Longitudinal Study\u2014physical fitness and physical activity as determinants of health development in German children and adolescents. Int J Epidemiol. 2021;50(2):393\u2013394. doi:10.1093\/ije\/dyaa281"},{"issue":"4","key":"r35","series-title":"Exerc Sport Sci Rev","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1249\/JES.0000000000000206","article-title":"A framework to evaluate devices that assess physical behavior","volume":"47","author":"Keadle SK","year":"2019","unstructured":"Keadle SK, Lyden KA, Strath SJ, Staudenmayer JW, Freedson PS. A framework to evaluate devices that assess physical behavior. Exerc Sport Sci Rev. 2019;47(4):206\u2013214. doi:10.1249\/JES.0000000000000206"},{"issue":"4","key":"r36","series-title":"Gait Posture","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1016\/j.gaitpost.2013.02.011","article-title":"Intra-individual gait speed variability in healthy children aged 1\u201315\u00a0years","volume":"38","author":"M\u00fcller J","year":"2013","unstructured":"M\u00fcller J, M\u00fcller S, Baur H, Mayer F. Intra-individual gait speed variability in healthy children aged 1\u201315\u00a0years. Gait Posture. 2013;38(4):631\u2013636. doi:10.1016\/j.gaitpost.2013.02.011"},{"issue":"suppl 2","key":"r37","series-title":"Res Q Exerc Sport","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1080\/02701367.2000.11082788","article-title":"Measurement issues in the assessment of physical activity in children","volume":"71","author":"Welk GJ","year":"2000","unstructured":"Welk GJ, Corbin CB, Dale D. Measurement issues in the assessment of physical activity in children. Res Q Exerc Sport. 2000;71(suppl 2):59\u201373. doi:10.1080\/02701367.2000.11082788"}],"container-title":["Journal of Physical Activity and Health"],"original-title":[],"link":[{"URL":"https:\/\/journals.humankinetics.com\/view\/journals\/jpah\/21\/10\/article-p1092.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.humankinetics.com\/downloadpdf\/journals\/jpah\/21\/10\/article-p1092.xml","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/journals.humankinetics.com\/downloadpdf\/journals\/jpah\/21\/10\/article-p1092.xml","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T15:27:22Z","timestamp":1726846042000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.humankinetics.com\/view\/journals\/jpah\/21\/10\/article-p1092.xml"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,1]]},"references-count":37,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1123\/jpah.2024-0259","relation":{},"ISSN":["1543-3080","1543-5474"],"issn-type":[{"value":"1543-3080","type":"print"},{"value":"1543-5474","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,1]]}}}