{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T23:27:14Z","timestamp":1777678034812,"version":"3.51.4"},"reference-count":24,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T00:00:00Z","timestamp":1739923200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Health Promotion Practice"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:p>\n                    <jats:italic toggle=\"yes\">Introduction<\/jats:italic>\n                    . While physical inactivity remains a pervasive public health problem, issues surrounding measuring physical activity plague researchers. Accelerometers are the gold-standard tool to assess physical activity and consumer-grade devices are increasingly used in research. However, accelerometer wear compliance varies by population and is influenced by factors, such as social acceptability, among others. Non-compliance threatens data validity and limits the usefulness regarding health promotion. Therefore, the purpose of this study is to compare the effects of three consumer-grade accelerometer protocols on wear compliance among adolescents.\n                    <jats:italic toggle=\"yes\">Methods<\/jats:italic>\n                    . Study participants were provided a Garmin VivoFit4 accelerometer watch; participant wear compliance, steps, and physical activity were measured during the study period. Three methods of data collection were used to assess physical activity: (1) continuous wear, self-sync (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 59); (2) continuous wear, researcher-sync (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 160); and (3) intermittent wear, researcher-sync (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 62). A one-way analysis of variance was conducted to assess between-group differences.\n                    <jats:italic toggle=\"yes\">Results<\/jats:italic>\n                    . Mean valid days were significantly higher at baseline (\n                    <jats:italic toggle=\"yes\">F<\/jats:italic>\n                    = 27.52,\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    &lt; .001) and endpoint (\n                    <jats:italic toggle=\"yes\">F<\/jats:italic>\n                    = 9.98,\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    &lt; .001) for the intermittent wear, researcher-synced condition than for both the continuous wear conditions, and significantly higher at midpoint (\n                    <jats:italic toggle=\"yes\">F<\/jats:italic>\n                    = 4.05,\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    &lt; .05) for the continuous wear, research-synced condition.\n                    <jats:italic toggle=\"yes\">Conclusion<\/jats:italic>\n                    . Study findings suggest that an intermittent wear, researcher-synced protocol significantly improves wear compliance and meets recommendations needed for reliable estimates of physical activity compared with continuous wear protocols as measured by mean valid days. Implementing protocols to increase wear compliance will improve data for interventional studies and health promotion capabilities of consumer-grade accelerometers.\n                  <\/jats:p>","DOI":"10.1177\/15248399251316517","type":"journal-article","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T08:14:17Z","timestamp":1739952857000},"page":"56-64","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparison of Wear Compliance Across Three Accelerometer Protocols in Adolescents"],"prefix":"10.1177","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0132-1696","authenticated-orcid":false,"given":"Amanda","family":"Grimes","sequence":"first","affiliation":[{"name":"University of Missouri-Kansas City, Kansas City, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Reagan","family":"Todd","sequence":"additional","affiliation":[{"name":"University of Missouri-Kansas City, Kansas City, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivia","family":"Sours","sequence":"additional","affiliation":[{"name":"University of Missouri-Kansas City, Kansas City, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ella","family":"Valleroy","sequence":"additional","affiliation":[{"name":"University of Missouri-Kansas City, Kansas City, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zakry","family":"Akagi-Bustin","sequence":"additional","affiliation":[{"name":"Kansas City Public Schools, Kansas City, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natasha","family":"Hillard","sequence":"additional","affiliation":[{"name":"University of Missouri-Kansas City, Kansas City, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8536-0085","authenticated-orcid":false,"given":"Joseph S.","family":"Lightner","sequence":"additional","affiliation":[{"name":"University of Missouri-Kansas City, Kansas City, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,2,19]]},"reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"crossref","unstructured":"Antczak D. Lonsdale C. del Pozo Cruz B. Parker P. Sanders T. (2021). Reliability of GENEActiv accelerometers to estimate sleep physical activity and sedentary time in children. International Journal of Behavioral Nutrition and Physical Activity 18(1) 1\u201311. https:\/\/doi.org\/10.1186\/s12966-021-01143-6","DOI":"10.1186\/s12966-021-01143-6"},{"key":"e_1_3_2_3_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0273880"},{"key":"e_1_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-020-01026-7"},{"key":"e_1_3_2_5_1","doi-asserted-by":"crossref","unstructured":"Cain K. L. Sallis J. F. Conway T. L. Van Dyck D. Calhoon L. (2013). Using accelerometers in youth physical activity studies: A review of methods. Journal of Physical Activity and Health 10(3) 437\u2013450. https:\/\/doi.org\/10.1123\/jpah.10.3.437","DOI":"10.1123\/jpah.10.3.437"},{"key":"e_1_3_2_6_1","doi-asserted-by":"crossref","unstructured":"Fairclough S. J. Noonan R. Rowlands A. V. Van Hees V. Knowles Z. Boddy L. M. (2016). Wear compliance and activity in children wearing wrist- and hip-mounted accelerometers. Medicine & Science in Sports & Exercise 48(2) 245\u2013253. https:\/\/doi.org\/10.1249\/MSS.0000000000000771","DOI":"10.1249\/MSS.0000000000000771"},{"key":"e_1_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12966-023-01435-z"},{"key":"e_1_3_2_8_1","doi-asserted-by":"crossref","unstructured":"Fuller D. Colwell E. Low J. Orychock K. Tobin M. A. Simango B. .\u2004.\u2004. Taylor N. G. A. (2020). Reliability and validity of commercially available wearable devices for measuring steps energy expenditure and heart rate: Systematic review. JMIR mHealth and uHealth 8(9) Article e18694. https:\/\/doi.org\/10.2196\/18694","DOI":"10.2196\/18694"},{"key":"e_1_3_2_9_1","doi-asserted-by":"crossref","unstructured":"Gabrys L. Vogt L. (2024). Accelerometry and wearable devices in sports medicine and health promotion. Deutsche Zeitschrift f\u00fcr Sportmedizin 75 29\u201334. https:\/\/doi.org\/10.5960\/dzsm.2023.584","DOI":"10.5960\/dzsm.2023.584"},{"key":"e_1_3_2_10_1","doi-asserted-by":"crossref","unstructured":"Grimes A. Lightner J. S. Eighmy K. Steel C. Shook R. P. Carlson J. (2022). Decreased physical activity among youth resulting from COVID-19 pandemic-related school closures: Natural experimental study. JMIR Formative Research 6(4) Article e35854. https:\/\/doi.org\/10.2196\/35854","DOI":"10.2196\/35854"},{"key":"e_1_3_2_11_1","doi-asserted-by":"crossref","unstructured":"Grimes A. Lightner J. S. Eighmy K. Wray B. D. Valleroy E. Baughn M. (2022). Physical activity and nutrition intervention for middle schoolers (Move more get more): Protocol for a quasi-experimental study. JMIR Research Protocols 11(5) Article e37126. https:\/\/doi.org\/10.2196\/37126","DOI":"10.2196\/37126"},{"key":"e_1_3_2_12_1","doi-asserted-by":"crossref","unstructured":"Howie E. K. Straker L. M. (2016). Rates of attrition non-compliance and missingness in randomized controlled trials of child physical activity interventions using accelerometers: A brief methodological review. Journal of Science and Medicine in Sport 19(10) 830\u2013836. https:\/\/doi.org\/10.1016\/j.jsams.2015.12.520","DOI":"10.1016\/j.jsams.2015.12.520"},{"key":"e_1_3_2_13_1","unstructured":"Kansas City Public Schools. (n.d.). Did you know? KCPS students eat for free! https:\/\/www.kcpublicschools.org\/kcps-news\/kcps-news-board-page\/~board\/kcps-news\/post\/did-you-know-kcps-students-eat-for-free#:~:text=All%20KCPS%20students%20can%20eat the%20National%20School%20Lunch%20Program"},{"key":"e_1_3_2_14_1","doi-asserted-by":"crossref","unstructured":"Lamunion S. R. Brychta R. J. Saint-Maurice P. F. Matthews C. E. Chen K. Y. (2024). Does wrist-worn accelerometer wear compliance wane over a free-living assessment period? An NHANES analysis. Medicine & Science in Sports & Exercise 56(2) 209\u2013220. https:\/\/doi.org\/10.1249\/MSS.0000000000003301","DOI":"10.1249\/MSS.0000000000003301"},{"key":"e_1_3_2_15_1","doi-asserted-by":"publisher","DOI":"10.1123\/jpah.2022-0443"},{"key":"e_1_3_2_16_1","doi-asserted-by":"crossref","unstructured":"Martinko A. Karuc J. Juri\u0107 P. Podnar H. Sori\u0107 M. (2022). Accuracy and precision of consumer-grade wearable activity monitors for assessing time spent in sedentary behavior in children and adolescents: Systematic review. JMIR mHealth and uHealth 10(8) Article e37547. https:\/\/doi.org\/10.2196\/37547","DOI":"10.2196\/37547"},{"key":"e_1_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00431-023-05014-z"},{"key":"e_1_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.1136\/bjsports-2015-095947"},{"key":"e_1_3_2_19_1","unstructured":"Physical Activity Alliance. (n.d.). Overview. https:\/\/paamovewithus.org\/overview\/"},{"key":"e_1_3_2_20_1","unstructured":"Physical Activity Alliance. (2024). The 2024 United States report card on physical activity for children and youth."},{"key":"e_1_3_2_21_1","doi-asserted-by":"crossref","unstructured":"Rich C. Cortina-Borja M. Dezateux C. Geraci M. Sera F. Calderwood L. .\u2004.\u2004. Griffiths L. J. (2013). Predictors of non-response in a UK-wide cohort study of children\u2019s accelerometer-determined physical activity using postal methods. BMJ Open 3(3) Article e002290. https:\/\/doi.org\/10.1136\/bmjopen-2012-002290","DOI":"10.1136\/bmjopen-2012-002290"},{"key":"e_1_3_2_22_1","doi-asserted-by":"crossref","unstructured":"Rowlands A. Harrington D. Bodicoat D. Davies M. Sherar L. Gorely T. .\u2004.\u2004. Edwardson C. (2018). Compliance of adolescent girls to repeated deployments of wrist-worn accelerometers. Medicine & Science in Sports & Exercise 50(7) 1508\u20131517. https:\/\/doi.org\/10.1249\/MSS.0000000000001588","DOI":"10.1249\/MSS.0000000000001588"},{"key":"e_1_3_2_23_1","doi-asserted-by":"crossref","unstructured":"Sousa A. C. Ferrinho S. N. Travassos B. (2023). The use of wearable technologies in the assessment of physical activity in preschool- and school-age youth: Systematic review. International Journal of Environmental Research and Public Health 20(4) 3402. https:\/\/doi.org\/10.3390\/ijerph20043402","DOI":"10.3390\/ijerph20043402"},{"key":"e_1_3_2_24_1","doi-asserted-by":"crossref","unstructured":"St Fleur R. G. St George S. M. Leite R. Kobayashi M. Agosto Y. Jake-Schoffman D. E. (2021). Use of Fitbit devices in physical activity intervention studies across the life course: Narrative review. JMIR mHealth and uHealth 9(5) Article e23411. https:\/\/doi.org\/10.2196\/23411","DOI":"10.2196\/23411"},{"key":"e_1_3_2_25_1","doi-asserted-by":"crossref","unstructured":"Strain T. Wijndaele K. Pearce M. Brage S. (2022). Considerations for the use of consumer-grade wearables and smartphones in population surveillance of physical activity. Journal for the Measurement of Physical Behaviour 5(1) 8\u201314. https:\/\/doi.org\/10.1123\/jmpb.2021-0046","DOI":"10.1123\/jmpb.2021-0046"}],"container-title":["Health Promotion Practice"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/15248399251316517","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/15248399251316517","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/15248399251316517","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T08:25:59Z","timestamp":1777451159000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/15248399251316517"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,19]]},"references-count":24,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["10.1177\/15248399251316517"],"URL":"https:\/\/doi.org\/10.1177\/15248399251316517","relation":{},"ISSN":["1524-8399","1552-6372"],"issn-type":[{"value":"1524-8399","type":"print"},{"value":"1552-6372","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,19]]}}}