Strength and clinical test combinations enhance predictions of sagittal and frontal plane biomechanics in single-leg landing

Phys Ther Sport. 2024 Sep:69:1-7. doi: 10.1016/j.ptsp.2024.06.008. Epub 2024 Jul 2.

Abstract

Objectives: To determine whether clinical screening tests can predict lower limb joint kinematics and kinetics outcomes eliciting anterior cruciate ligament (ACL) injury risk in single-leg landings.

Design: Cross-sectional study.

Setting: Laboratory research.

Participants: Twenty-six professional male futsal athletes.

Main outcome measures: Participants completed the Modified Star Excursion Balance Test (mSEBT), Lateral Step Down (LSD), Lunge, Hop tests, and isometric strength tests for clinical screening of lower extremity injury risk and performed single-leg landings to assess lower extremity 3D kinematics and kinetics outcomes.

Results: mSEBT, LSD, and isometric strength were the more important tests when constructing the prediction models. The predictive power of clinical tests for screening injury risk significantly increases when combined with strength measurements (p = 0.005, f2 = 0.595). We discerned 11 biomechanical predictions, six explicitly related to the sagittal plane's biomechanics. Some predictions were leg-dependent, with muscle strength tests predominantly predicting biomechanical outcomes of the preferred leg.

Conclusion: Combining clinical screening tests with strength measures enhances ACL injury risk factors prediction during single-leg landings. Clustering at least two tests improves prediction accuracy, aiding injury prevention planning and decision-making.

Keywords: Anterior cruciate ligament; Athletes; Injury prevention; Knee; Lower extremity.

MeSH terms

  • Adult
  • Anterior Cruciate Ligament Injuries* / physiopathology
  • Athletic Injuries / physiopathology
  • Biomechanical Phenomena
  • Cross-Sectional Studies
  • Exercise Test
  • Humans
  • Lower Extremity / physiology
  • Male
  • Muscle Strength* / physiology
  • Postural Balance / physiology
  • Risk Factors
  • Young Adult