{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T15:10:09Z","timestamp":1790176209826,"version":"4.1.0"},"reference-count":31,"publisher":"International Journal of Sports Physical Therapy","issue":"4","license":[{"start":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T00:00:00Z","timestamp":1743552000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:sec id=\"background\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>It is unknown if differences exist for normalized velocity (m\/s) and step length (m) when measured using clinically accessible tools, such as the 10-Meter Walk Test (10MWT) and a timed gait analysis (TGA), and costly equipment, such as the GAITRite\u00ae electronic walkway system, in healthy adolescent athletes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"purpose\">\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>The purpose of this study was to compare normalized velocity and step length data using low- and high-tech equipment during single- and dual-task gait. The investigators hypothesized that there would be no significant differences between data collected using the 10MWT, TGA, and GAITRite\u00ae.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"study-design\">\n                    <jats:title>Study Design<\/jats:title>\n                    <jats:p>Cross-sectional, repeated-measures study design.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A convenience sample of healthy male (n=23) and female (n=20) adolescent athletes aged 14-18 years were recruited from a local high school. A three-way mixed analysis of variance analyzed normalized velocity (m\/s) and step length (m) data measured with the 10MWT, TGA, and GAITRite\u00ae while participants walked at a self-selected speed with and without a visuospatial cognitive task. All data were collected in the participants\u2019 school setting. A three-way mixed ANOVA was used to analyze data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>No significant interactions between assessment tool, walk condition, or sex were found. A main effect of walk condition (p&lt;0.0001) and sex (p&lt;0.0004) was found for normalized velocity (i.e., females walked faster than males). Normalized velocity was also significantly decreased when measured with the 10MWT compared to the GAITRite\u00ae (p&lt;0.007) and the TGA (p&lt;0.03).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Normalized velocity may be generalizable between the TGA and GAITRite\u00ae, but not the 10MWT. Therefore, the TGA may be a viable adjunct to current multimodal assessments of gait following concussion in the absence of costly equipment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"level-of-evidence\">\n                    <jats:title>Level of Evidence<\/jats:title>\n                    <jats:p>Level 2<\/jats:p>\n                  <\/jats:sec>","DOI":"10.26603\/001c.133493","type":"journal-article","created":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T20:16:21Z","timestamp":1743452181000},"source":"Crossref","is-referenced-by-count":0,"title":["Clinical Assessment of Spatiotemporal Parameters of Gait when Performing a Visuospatial Cognitive Task"],"prefix":"10.26603","volume":"20","author":[{"given":"Fernando","family":"Castillo","sequence":"first","affiliation":[{"name":"University of St Augustine for Health Sciences","department":["Doctor of Physical Therapy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charlotte","family":"Yates","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/029bp0k25","id-type":"ROR","asserted-by":"publisher"}],"name":"University of Central Arkansas","department":["Doctor of Physical Therapy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kimberly","family":"Eskola","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/029bp0k25","id-type":"ROR","asserted-by":"publisher"}],"name":"University of Central Arkansas","department":["Exercise and Sport Science"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David K.","family":"Williams","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00xcryt71","id-type":"ROR","asserted-by":"publisher"}],"name":"University of Arkansas for Medical Sciences","department":["Center for Translational Neuroscience"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leah","family":"Lowe","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/029bp0k25","id-type":"ROR","asserted-by":"publisher"}],"name":"University of Central Arkansas","department":["Doctor of Physical Therapy"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"11140","published-online":{"date-parts":[[2025,4,2]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.gaitpost.2017.07.004","article-title":"Spatiotemporal and plantar pressure patterns of 1000 healthy individuals aged 3-101 years","volume":"58","author":"M. 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