{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T08:33:39Z","timestamp":1776501219873,"version":"3.51.2"},"reference-count":42,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2022,12,18]],"date-time":"2022-12-18T00:00:00Z","timestamp":1671321600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NIHR Applied Research Collaboration East Midlands (ARC EM)","award":["16\/41\/04"],"award-info":[{"award-number":["16\/41\/04"]}]},{"name":"NIHR Applied Research Collaboration East Midlands (ARC EM)","award":["MR\/K025090\/1"],"award-info":[{"award-number":["MR\/K025090\/1"]}]},{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research Public Health Research programme","doi-asserted-by":"publisher","award":["16\/41\/04"],"award-info":[{"award-number":["16\/41\/04"]}],"id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research Public Health Research programme","doi-asserted-by":"publisher","award":["MR\/K025090\/1"],"award-info":[{"award-number":["MR\/K025090\/1"]}],"id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000265","name":"UK Medical Research Council Lifelong Health and Wellbeing Initiative","doi-asserted-by":"publisher","award":["16\/41\/04"],"award-info":[{"award-number":["16\/41\/04"]}],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000265","name":"UK Medical Research Council Lifelong Health and Wellbeing Initiative","doi-asserted-by":"publisher","award":["MR\/K025090\/1"],"award-info":[{"award-number":["MR\/K025090\/1"]}],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Stepping-based targets such as the number of steps per day provide an intuitive and commonly used method of prescribing and self-monitoring physical activity goals. Physical activity surveillance is increasingly being obtained from wrist-worn accelerometers. However, the ability to derive stepping-based metrics from this wear location still lacks validation and open-source methods. This study aimed to assess the concurrent validity of two versions (1. original and 2. optimized) of the Verisense step-count algorithm at estimating step-counts from wrist-worn accelerometry, compared with steps from the thigh-worn activPAL as the comparator. Participants (n = 713), across three datasets, had &gt;24 h continuous concurrent accelerometry wear on the non-dominant wrist and thigh. Compared with activPAL, total daily steps were overestimated by 913 \u00b1 141 (mean bias \u00b1 95% limits of agreement) and 742 \u00b1 150 steps\/day with Verisense algorithms 1 and 2, respectively, but moderate-to-vigorous physical activity (MVPA) steps were underestimated by 2207 \u00b1 145 and 1204 \u00b1 103 steps\/day in Verisense algorithms 1 and 2, respectively. In summary, the optimized Verisense algorithm was more accurate in detecting total and MVPA steps. Findings highlight the importance of assessing algorithm performance beyond total step count, as not all steps are equal. The optimized Verisense open-source algorithm presents acceptable accuracy for derivation of stepping-based metrics from wrist-worn accelerometry.<\/jats:p>","DOI":"10.3390\/s22249984","type":"journal-article","created":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T09:31:01Z","timestamp":1671442261000},"page":"9984","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Stepping towards More Intuitive Physical Activity Metrics with Wrist-Worn Accelerometry: Validity of an Open-Source Step-Count Algorithm"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4503-0479","authenticated-orcid":false,"given":"Benjamin D.","family":"Maylor","sequence":"first","affiliation":[{"name":"Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charlotte L.","family":"Edwardson","sequence":"additional","affiliation":[{"name":"Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK"},{"name":"NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1714-6087","authenticated-orcid":false,"given":"Paddy C.","family":"Dempsey","sequence":"additional","affiliation":[{"name":"Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK"},{"name":"NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK"},{"name":"MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 1TN, UK"},{"name":"Baker Heart and Diabetes Institute, Melbourne 3004, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew R.","family":"Patterson","sequence":"additional","affiliation":[{"name":"The Realtime Building, Clonshaugh Business and Technology Park, Shimmer Research Ltd., D17 H262 Dublin, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatiana","family":"Plekhanova","sequence":"additional","affiliation":[{"name":"Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom","family":"Yates","sequence":"additional","affiliation":[{"name":"Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1463-697X","authenticated-orcid":false,"given":"Alex V.","family":"Rowlands","sequence":"additional","affiliation":[{"name":"Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK"},{"name":"NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"l4570","DOI":"10.1136\/bmj.l4570","article-title":"Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: Systematic review and harmonised meta-analysis","volume":"366","author":"Ekelund","year":"2019","journal-title":"BMJ"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e219","DOI":"10.1016\/S2468-2667(21)00302-9","article-title":"Daily steps and all-cause mortality: A meta-analysis of 15 international cohorts","volume":"7","author":"Paluch","year":"2022","journal-title":"Lancet Public Health"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"339","DOI":"10.2337\/dc21-1202","article-title":"Associations of Daily Steps and Step Intensity With Incident Diabetes in a Prospective Cohort Study of Older Women: The OPACH Study","volume":"45","author":"Garduno","year":"2022","journal-title":"Diabetes Care"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1186\/s12966-020-00978-9","article-title":"Systematic review of the prospective association of daily step counts with risk of mortality, cardiovascular disease, and dysglycemia","volume":"17","author":"Hall","year":"2020","journal-title":"Int. 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