Back

Reliability of a Simple, Biomechanically Grounded Score for Landing-Mechanics Evaluation

Sakoda, S.; Kajiwara, K.; Shuto, R.; Kumagae, H.; Yokoi, O.; Kawano, K.

2026-02-14 sports medicine
10.64898/2026.02.09.26345781 medRxiv
Show abstract

ContextClinical assessments of landing mechanics often require complex scoring systems or laboratory-based motion analysis, which can limit feasibility in routine practice. A visually based landing-mechanics score centered on a standardized optimal joint-alignment configuration ("Zero Position") may offer a simple, clinically deployable alternative. ObjectiveTo determine the intra- and inter-rater reliability of a landing mechanics score based on standardized optimal joint alignment at the moment of maximal center-of-mass (COM) descent. DesignCross-sectional reliability study. SettingUniversity athletic training facility. Patients or Other ParticipantsNinety healthy male collegiate athletes. Main Outcome MeasuresLanding mechanics were evaluated using frontal- and sagittal-plane video recordings, with scoring performed on the frame corresponding to maximal COM descent. Five criteria reflecting the standardized joint configuration ("Zero Position") were assessed. Intra- and inter-rater reliability were calculated using Cohens kappa coefficients and Kendalls W. ResultsAll five criteria demonstrated moderate to substantial intra-rater reliability and moderate to almost perfect inter-rater reliability. The total landing-mechanics score showed excellent agreement across all comparisons. The scoring system required minimal training and was feasible to implement using standard video recordings. ConclusionsThe landing-mechanics score centered on the Zero Position demonstrated high reliability and strong clinical feasibility. This simple, visually grounded assessment may support routine clinical screening, injury-risk evaluation, and return-to-sport decision-making. Future research should examine its applicability to single-leg landings and sport-specific high-risk movements.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.