{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T09:31:51Z","timestamp":1772789511718,"version":"3.50.1"},"reference-count":49,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T00:00:00Z","timestamp":1698192000000},"content-version":"vor","delay-in-days":24,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Science Reports"],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background and Aims<\/jats:title><jats:p>There is a need for high utility and portability, and cost\u2010effective technologies that are suitable for assessing dual\u2010task gait after experiencing a concussion. Current technologies utilized such as 3D motion capture and force plates are too complex and expensive for most practitioners. The aim of this study was to quantify the variability of dual\u2010task walking gait parameters using in\u2010shoe inertial sensors in nonconcussed individuals.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This was a randomized within\u2010subject repeated measures design conducted within a sports laboratory. Twenty healthy, uninjured, nonconcussed participants were recruited for this study. Gait variables of interest were measured across three 2\u2010min continuous walking protocols (12\u2009m, 30\u2009m, 1\u2009min out and back) while performing a cognitive task of counting backward in sevens from a randomly generated number between 300 and 500. Testing was completed over three occasions separated by 7 days, for a total of nine walking trials. Participants completed the testing protocols in a randomized, individual order. The primary outcome was to determine the variability of dual\u2010task walking gait parameters using in\u2010shoe inertial sensors in nonconcussed individuals across three protocols.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Three to four participants were allocated to each randomized protocol order. Regarding the absolute consistency (coefficient of variation [CV]) between testing occasions, no gait measure was found to have variability above 6.5%. Relative consistency (intraclass correlation coefficient [ICC]) was acceptable (&gt;0.70) in 95% of the variables of interest, with only three variables\u2009&lt;\u20090.70. Similar variability was found across the three testing protocols.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>In\u2010shoe inertial sensors provide a viable option for monitoring gait parameters. This technology is also reliable across different testing distances, thus offering various testing options for practitioners. Further research needs to be conducted to examine the variability with concussed subjects.<\/jats:p><\/jats:sec>","DOI":"10.1002\/hsr2.1660","type":"journal-article","created":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T03:48:11Z","timestamp":1698292091000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["The variability of dual\u2010task walking parameters using in\u2010shoe inertial sensors in nonconcussed individuals: A randomized within\u2010subject repeated measures design"],"prefix":"10.1002","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8402-4699","authenticated-orcid":false,"given":"Courtney","family":"Mitchell","sequence":"first","affiliation":[{"name":"Sport Performance Research in New Zealand (SPRINZ) AUT Millennium Institute, AUT University  Auckland New Zealand"},{"name":"Department of Sport and Recreation Toi Ohomai Institute of Technology  Tauranga New 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