{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:25:21Z","timestamp":1787016321182,"version":"build-2736575974"},"reference-count":20,"publisher":"Human Kinetics","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,1]]},"abstract":"\n \n Context<\/jats:bold>\n :\n <\/jats:italic>\n Running is a popular form of physical activity but can increase an individual\u2019s lower-extremity injury risk. Running gait analysis via inertial measurement units (IMUs) is a method for collecting important gait data that is related to developing lower-extremity injuries, such as increased load from low step rate (SR), and long stride length (SL). IMU data can be derived from both foot- and shank-placed IMUs, but foot-placed sensors (RunScribe IMUs) need validation against shank-placed sensors.\n \n Purpose<\/jats:bold>\n :\n <\/jats:italic>\n Determine criterion validity of RunScribe foot-placed IMUs against MyoMotion shank-placed IMU for SR and SL.\n \n Design<\/jats:bold>\n :\n <\/jats:italic>\n cross-sectional laboratory study.\n \n Methods<\/jats:bold>\n :\n <\/jats:italic>\n Nine participants (5 males, 4 females; age: 28.33 [5.78]; height: 1.75 [0.11]; mass: 74.06 [16.24]) volunteered for our study. Following a 5-minute warm-up, participants ran on a treadmill for 5\u00a0minutes at a self-selected speed. After \u223c2.5\u00a0minutes, MyoMotion data were collected for 10\u00a0seconds. The RunScribe IMUs collected data throughout the full duration of the run. Criterion validity of SR and SL between the foot- and shank-placed IMUs was determined using bivariate Pearson correlations, intraclass correlation coefficients (3,1), and Bland\u2013Altman plots with 95% limits of agreement analysis.\n \n Results<\/jats:bold>\n :\n <\/jats:italic>\n A very strong correlation for SR (\n r<\/jats:italic>\n \u2009=\u2009.90, N\u2009=\u20099,\n P<\/jats:italic>\n \u2009\u2264\u2009.001), and a strong correlation for SL (\n r<\/jats:italic>\n \u2009=\u2009.80, N\u2009=\u20099,\n P<\/jats:italic>\n \u2009<\u2009.001) were found between the foot and shank-placed IMUs. Excellent reliability was found for SR (intraclass correlation coefficient\u2009=\u2009.91,\n P<\/jats:italic>\n \u2009\u2264\u2009.001, 95% CI, .639\u2013.978), and good reliability was found for SL (intraclass correlation coefficient\u2009=\u2009.800,\n P<\/jats:italic>\n \u2009=\u2009.003, 95% CI, .340\u2013.951) between the foot and shank-placed IMUs. The mean difference of SR and SL was \u22122.111 and \u22120.142, respectively, indicating good agreement between the foot and shank-placed IMUs.\n \n Conclusions<\/jats:bold>\n :\n <\/jats:italic>\n Foot-placed RunScribe IMUs are a valid alternative for measuring SR and SL compared with shank-placed IMUs.\n <\/jats:p>","DOI":"10.1123\/jsr.2024-0258","type":"journal-article","created":{"date-parts":[[2025,3,20]],"date-time":"2025-03-20T19:57:18Z","timestamp":1742500638000},"page":"672-676","source":"Crossref","is-referenced-by-count":3,"title":["Foot-Placed Inertial Measurement Units Are Valid Against Shank-Placed Units When Measuring Temporospatial Running Variables"],"prefix":"10.1123","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8989-7042","authenticated-orcid":true,"given":"Madison S.","family":"Mach","sequence":"first","affiliation":[{"name":"School of Rehabilitation Sciences and Technology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA"},{"name":"Keller Army Community Hospital, West Point, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1794-1881","authenticated-orcid":true,"given":"Hayley","family":"Ericksen","sequence":"additional","affiliation":[{"name":"School of Kinesiology and Recreation, Illinois State University, Normal, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4578-0411","authenticated-orcid":true,"given":"Erin","family":"Lally","sequence":"additional","affiliation":[{"name":"Department of Health and Human Performance, Texas State University, San Marcos, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3308-3856","authenticated-orcid":true,"given":"Jennifer E.","family":"Earl-Boehm","sequence":"additional","affiliation":[{"name":"School of Rehabilitation Sciences and Technology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"issue":"4","key":"r1","series-title":"Br J Sports Med","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1136\/bjsm.2006.033548","article-title":"Incidence and determinants of lower extremity running injuries in long distance runners: a systematic review","volume":"4","author":"van Gent RN","year":"2004","unstructured":"van Gent RN, Siem D, van Middelkoop M, et\u00a0al. 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