Search

Context: Women's volleyball requires frequent and repetitive jumping that when performed with altered biomechanics, including kinematic or kinetic asymmetry, may place the athlete at high risk for injury. This study identified and analyzed lower-extremity biomechanical asymmetries in college women's volleyball players during standard and sport-specific double-leg landing tasks. Design: Cross-sectional laboratory study. Methods: Eighteen female college volleyball players were analyzed using standard 3D motion capture techniques during a drop vertical jump and an unanticipated lateral reactive jump task. Repeated-measures multivariate analysis of variance identified asymmetries in kinematic and kinetic variables of each task. Results: Average symmetry indices ranged from 9.3% to 31.3% during the drop vertical jump and 11.9% to 25.6% during the reactive jump task. During the drop vertical jump, the dominant limb exhibited lower knee abduction moments (P =.03), ankle dorsiflexion moments (P =.02), ankle eversion moments (P =.003) and vertical ground reaction forces (P =.03), and greater ankle inversion moments (P =.001). Both kinematic (λ = 0.27, P =.03) and kinetic (λ = 0.12, P =.008) asymmetries were identified during the reactive jump task. The dominant limb exhibited greater peak knee flexion (P =.003) and ankle dorsiflexion (P =.02) angles, and greater ankle dorsiflexion (P =.005) and inversion (P =.03) moments than the nondominant limb. Conclusions: These asymmetries observed during double-leg landing tasks may predispose volleyball athletes to unilaterally higher ground reaction or muscle forces and ultimately a greater risk of injury during landing. [ABSTRACT FROM AUTHOR]

PURPOSE: To analyze the ability of pre-matriculation metrics to predict difficulties during the first year of a Doctor of Physical Therapy (DPT) program with a pass-fail grading system. METHODS: Undergraduate cumulative, science, and pre-requisite grade point averages (GPAs) and verbal and quantitative Graduate Record Examination (GRE) percentiles were collected during the admissions process of 190 students in an accredited DPT program at a southeastern US private university between 2019-2021. Students were dichotomized to groups with and without academic difficulties in coursework and a first-year comprehensive assessment (CA). Independent t-tests identified differences between groups, and logistic regression analyses identified predictors of academic difficulties. Receiver operating characteristic (ROC) curve analyses were performed to identify cut-off scores and risk ratios were calculated. RESULTS: Students with coursework difficulties had lower verbal (d=0.36, p=0.009) and quantitative (d=0.31, p = 0.02) GRE scores. Verbal GRE scores were also lower in students who failed the CA (p=0.049). Students who scored less than the 47th percentile on the verbal GRE were 53% more likely to have academic difficulties and 4.2 times more likely to fail the CA than those who scored in the 70th percentile or higher. CONCLUSION: Verbal GRE percentile best predicted academic difficulty in the first year of a DPT program. [ABSTRACT FROM AUTHOR]

Background Delayed onset muscles soreness (DOMS) is an indication of muscle stress and trauma that develops from excessive musculoskeletal loads. Musculoskeletal loads can be measured with wearable devices, but there is limited research on specific training load metrics that most correlate with DOMS after activity. Purpose To determine the predictive capabilities of training load variables on the development of lower extremity DOMS in female collegiate soccer athletes throughout an entire season. Study Design Prospective Cohort Methods Twenty-seven collegiate female soccer athletes reported their lower extremity DOMS each day prior to all soccer activity. Participants wore Polar heart rate and global positioning monitors to capture training load measures. Pearson correlation coefficients were used to assess the relationships between the training load variables and change in DOMS when collapsed across dates. Separate linear mixed models were performed with the following day's DOMS as the outcome variable, training load and the current day's DOMS as predictor variables, and participants serving as random intercepts. Results All training load variables significantly predicted change in DOMS, with number of decelerations (ρ=0.72, p <0.001), minutes spent at greater than 80% of maximum heart rate (HRmax) (ρ=0.71, p <0.001), and distance (ρ=0.70, p <0.001) best correlating with change in DOMS. Linear mixed models revealed a significant interaction of all training load and current day's DOMS on the following day's DOMS (p<0.001), but number of decelerations, HRmax, and total number of accelerations demonstrated the highest coefficient of determination (R² marginal=33.2% - 29.2%, R² conditional= 46.9% - 44.8%). Conclusions Training load variables paired with the current day's DOMS significantly predict lower extremity DOMS in the future, with number of decelerations, accelerations, and HRmax best predicting future DOMS. Although this demonstrates that training load variables predict lower extremity DOMS, future research should incorporate objective measures of strength or jump kinetics to identify if similar relationships exist. Level of Evidence Level 3 [ABSTRACT FROM AUTHOR]