Countermovement Jump Force‐Time Mechanics Differentiate ACL Injury Status in Elite Alpine Ski Racers.
Biomechanical assessments of stretch‐shortening cycle (SSC) movements such as the countermovement jump (CMJ) are used to evaluate neuromuscular function in alpine ski racers after anterior cruciate ligament reconstruction (ACLR). However, this analysis yields multiple CMJ force‐time metrics that qua...
| Published in: | Scandinavian Journal of Medicine & Science in Sports (John Wiley & Sons, Inc.) Vol. 36; no. 4; pp. 1 - 12 |
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| Main Authors: | , , , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
John Wiley & Sons, Inc.
Apr2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=193164276&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 193164276 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16000838 NRNW jtl: Scandinavian Journal of Medicine & Science in Sports (John Wiley & Sons, Inc.) issn: 16000838 maglogo: N pubinfo: dt: Apr2026 vid: 36 iid: 4 pid: 52269 pub: John Wiley & Sons, Inc. artinfo: ui: 193164276 193164276 193164276 10.1111/sms.70270 193164276 ppf: 1 ppct: 11 formats: tig: atl: Countermovement Jump Force‐Time Mechanics Differentiate ACL Injury Status in Elite Alpine Ski Racers. aug: au: Morris, Nathaniel Torres, Ricardo da Silva Heard, Mark Baker, Patricia Doyle Herzog, Walter Jordan, Matthew J. affil: Integrative Neuromuscular Sport Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary Alberta,, Canada sug: subj: Jumping Resistance Training Classification Biomechanics Anterior Cruciate Ligament Injuries Rehabilitation Athletes, Elite Psychosocial Factors Snow Skiing Athletic Performance Machine Learning Algorithms Utilization Classification Algorithms Athletic Injuries Risk Factors Risk Assessment Human Comparative Studies Random Forest Support Vector Machine Logistic Regression T-Tests ROC Curve Anterior Cruciate Ligament Reconstruction Sports Re-Entry Decision Making Descriptive Statistics Data Analysis Software ab: Biomechanical assessments of stretch‐shortening cycle (SSC) movements such as the countermovement jump (CMJ) are used to evaluate neuromuscular function in alpine ski racers after anterior cruciate ligament reconstruction (ACLR). However, this analysis yields multiple CMJ force‐time metrics that quantify SSC mechanics, creating challenges for data synthesis, interpretation, and return‐to‐sport decision making. Machine learning (ML) classification algorithms address this problem by determining patterns that distinguish healthy control athletes and athletes recovering from ACLR. ML classification algorithms were trained using CMJ force‐time metrics obtained from healthy control elite alpine ski racers (Control) and skiers tested after ACLR to identify features predictive of group membership. Participants (ACLR: n = 24, Control: n = 42) performed multiple CMJ testing sessions as part of a longitudinal athlete monitoring program (n = 836). ML algorithms (random forest, support vector machine, logistic regression, naïve Bayes, k‐nearest neighbors) were trained using 23 CMJ force‐time features with 5‐fold cross‐validation and evaluated using an independent test dataset. Classification performance was high with balanced accuracies ranging from 0.59 to 0.88 and areas under the receiver operating characteristic curve of 0.63–0.95. Features corresponding to the propulsion phase were most important for differentiating CMJ tests from ACLR and Control athletes. Recovery of neuromuscular function after ACLR may be inferred when the CMJ mechanics of athletes with ACLR become indistinguishable from those of healthy controls. In conclusion, ML classification models may assist interpretation of CMJ force‐time metrics after ACLR by identifying high‐information features related to injury status along with a potential indication of rehabilitation progression relative to healthy control athletes. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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