{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T13:51:45Z","timestamp":1793022705706,"version":"4.5.0"},"reference-count":47,"publisher":"Human Kinetics","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,1]]},"abstract":"<jats:p>\n                    <jats:italic>\n                      <jats:bold>Objective<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Current return-to-sport decisions are primarily based on elapsed time since surgery or injury and strength measures. Given data that show rates of successful return to competitive sport at around 55%, there is strong rationale for adopting tools that will better inform return to sport decisions. The authors\u2019 objective was to assess reactive strength as a metric for informing return-to-sport decisions.\n                    <jats:italic>\n                      <jats:bold>Design<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Case-control design.\n                    <jats:italic>\n                      <jats:bold>Methods<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Fifteen elite athletes from national sports teams (23 [6.0]\u00a0y) in the final phase of their return-to-sport protocol following a unilateral knee injury and 16 age-matched control athletes (22 [4.6]\u00a0y) performed a unilateral isometric strength test and 24-cm drop jump test. Pairwise comparisons were used to determine differences between legs within groups and differences in interleg asymmetry between groups.\n                    <jats:italic>\n                      <jats:bold>Results<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Strength measures did not distinguish the control from the rehabilitation group; however, clear differences in the degree of asymmetry were apparent between the control and rehabilitation groups for contact time (Cohen\n                    <jats:italic>d<\/jats:italic>\n                    \u2009=\u20090.56; \u22120.14 to 1.27; 8.2%;\n                    <jats:italic>P<\/jats:italic>\n                    \u2009=\u2009.113), flight time (\n                    <jats:italic>d<\/jats:italic>\n                    \u2009=\u20091.10; 0.44 to 1.76; 16.0%;\n                    <jats:italic>P<\/jats:italic>\n                    \u2009=\u2009.002), and reactive strength index (\n                    <jats:italic>d<\/jats:italic>\n                    \u2009=\u20091.27; 0.50 to 2.04; 22.4%;\n                    <jats:italic>P<\/jats:italic>\n                    \u2009=\u2009.002).\n                    <jats:italic>\n                      <jats:bold>Conclusion<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Reactive strength data provide insight into functional deficits that persist into the final phase of a return-to-sport protocol. The authors\u2019 findings support the use of dynamic assessment tools to inform return-to-sport decisions to limit potential for reinjury.\n                  <\/jats:p>","DOI":"10.1123\/jsr.2020-0408","type":"journal-article","created":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T03:38:50Z","timestamp":1630467530000},"page":"47-52","source":"Crossref","is-referenced-by-count":7,"title":["Reactive Strength as a Metric for Informing Return-to-Sport Decisions: A Case-Control Study"],"prefix":"10.1123","volume":"31","author":[{"given":"Jorg","family":"Teichmann","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kim","family":"H\u00e9bert-Losier","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rachel","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han Wei","family":"Lem","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shabana","family":"Khanum","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ananthi","family":"Subramaniam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wee-Kian","family":"Yeo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dietmar","family":"Schmidtbleicher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher M.","family":"Beaven","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"issue":"5","key":"r1","series-title":"Clin J Sport Med","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1097\/JSM.0b013e3181f3c0fe","article-title":"Return-to-play in sport: a decision-based model","volume":"20","author":"Creighton DW","year":"2010","unstructured":"Creighton DW, Shrier I, Shultz R, Meeuwisse WH, Matheson GO. 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