{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T16:56:36Z","timestamp":1790009796621,"version":"4.0.1"},"reference-count":58,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T00:00:00Z","timestamp":1787443200000},"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":["Sports Health: A Multidisciplinary Approach"],"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Neurocognitive demands during sport-specific tasks may influence movement patterns associated with anterior cruciate ligament (ACL) injury risk, but the effect of baseline cognitive-motor function remains unclear. This study investigated whether baseline cognitive-motor performance is associated with ACL injury-related biomechanics during landing tasks with increasing cognitive demands.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Hypotheses:<\/jats:title>\n                    <jats:p>(1) People with lower baseline cognitive scores would exhibit riskier movement patterns, and (2) cognitive load would negatively influence ACL-related biomechanics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Study Design:<\/jats:title>\n                    <jats:p>Cross-sectional observational laboratory study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Level of Evidence:<\/jats:title>\n                    <jats:p>Level 4.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>A total of 50 healthy athletes completed baseline cognitive-motor testing for reaction time (872\u2009\u00b1\u200990\u2009ms), processing speed (83\u2009\u00b1\u200914%), divided attention (58\u2009\u00b1\u200914%), and peripheral vision (69\u2009\u00b1\u200912%), followed by a jump-land-jump task under anticipated (ANT), unanticipated (UNA), and cognitively-challenging (COG) conditions involving peripheral vision. Peak lower-limb kinematics and kinetics were recorded, and mixed-effects models were used to evaluate the effects of cognitive-motor load and baseline function on biomechanical outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      Baseline cognitive-motor performance showed limited associations with landing biomechanics during valid trials, with isolated relationships observed for hip flexion and adduction angles (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u20090.05 and\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u20090.04, respectively). Lower peripheral vision accuracy (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009&lt;\u20090.001) and higher processing speed (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009&lt;\u20090.001) were significantly associated with a greater incidence of errors during nonanticipated conditions (error rates: ANT 0%, UNA 2.8%, COG 35.5%). Increasing cognitive load consistently induced biomechanical changes associated with greater ACL loading markers (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u20090.02 to &lt;0.004), including increased knee abduction angles and moments and reduced joint flexion, with significant differences between ANT and both UNA and COG conditions.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>While baseline cognitive-motor function may have a limited influence on correctly executed movement biomechanics in healthy athletes, specific cognitive domains are related to task execution errors under cognitively demanding conditions, notably including higher processing speed. Increased cognitive-motor demands involving unanticipation and peripheral vision systematically altered landing mechanics toward potentially higher-risk patterns.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Clinical Relevance:<\/jats:title>\n                    <jats:p>Assessing baseline cognitive-motor function and sport-specific demands may help inform ACL injury risk screening strategies. Failed trials represent an additional dimension to be considered for investigating the influence of cognitive factors on ACL injury biomechanics.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/19417381261473724","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T06:53:08Z","timestamp":1787554388000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Effects of Cognitive-Motor Demands and Baseline Function on ACL Injury-Related Landing Biomechanics"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0409-8546","authenticated-orcid":false,"given":"Claudia","family":"Brunetti","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy"},{"name":"E4Sport Lab, Politecnico di Milano, Lecco, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott M.","family":"Monfort","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, Montana State University, Bozeman, Montana"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pietro","family":"Maver","sequence":"additional","affiliation":[{"name":"E4Sport Lab, Politecnico di Milano, Lecco, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Tarabini","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy"},{"name":"E4Sport Lab, Politecnico di Milano, Lecco, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2240-5394","authenticated-orcid":false,"given":"Filippo","family":"Bertozzi","sequence":"additional","affiliation":[{"name":"E4Sport Lab, Politecnico di Milano, Lecco, 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