Objectives: To explore whether final Landing Error Scoring System (LESS) scores differ between calculation methods used in literature.
Design: Cross-sectional.
Setting: Laboratory.
Participants: 328 individuals.
Main Outcome Measures: LESS scores from 984 drop-jumps were extracted. Final LESS scores were calculated for every participant according to five methods: mean of 3 jumps, 1st jump score, 3rd jump score, best jump score, and sum of errors present in at least 2 jumps. The influence of the calculation method on group mean LESS score and group-level risk categorization using threshold of 5 errors was estimated using Generalized Estimating Equations, with the mean of 3 jumps score set as the reference method. The agreement in individual-level risk categorization was assessed using odds ratios and McNemar's tests.
Results: Compared to the reference, estimated group mean LESS score was 0.92 errors lower (p < 0.001) using the best jump method, as was group-level risk categorization (odds ratio: 0.50, p < 0.001). Individual-level risk categorization between calculation methods was inconsistent for 8-15% of participants compared to the reference method, significantly different from reference for the best jump score method (p < 0.001).
Conclusions: Calculation method meaningfully influences final LESS scores and risk categorization.
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http://dx.doi.org/10.1016/j.ptsp.2020.04.035 | DOI Listing |
Med Sci Sports Exerc
November 2024
Department of Psychology, Montana State University, Bozeman, MT.
Reactive and external visual-cognitive demands are prevalent in sport and likely contribute to ACL injury scenarios. However, these demands are absent in common return-to-sport assessments. This disconnect leaves a blind spot for determining when an athlete can return to sport with mitigated re-injury risk.
View Article and Find Full Text PDFMed Sci Sports Exerc
November 2024
Department of Kinesiology, School of Education and Human Development, University of Virginia, Charlottesville, VA.
Introduction: Force plate systems are increasingly utilized in the armed forces that claim to identify individuals at risk of musculoskeletal injury. However, factors influencing injury risk scores from a force plate system (SpartaScienceTM), and the effects of experimental perturbations on these scores, remain unclear.
Methods: Healthy males (n = 823; 22.
J Strength Cond Res
December 2024
School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.
Grammenou, M, Kendall, KL, Wilson, CJ, Porter, T, Laws, SM, and Haff, GG. Effect of fitness level on time course of recovery after acute strength and high-intensity interval training. J Strength Cond Res 38(12): 2055-2064, 2024-The aim was to investigate time course of recovery after acute bouts of strength (STR) and high-intensity interval training (HIIT).
View Article and Find Full Text PDFJ Strength Cond Res
September 2024
School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.
Grammenou, M, Kendall, KL, Wilson, CJ, Porter, T, Laws, SM, and Haff, GG. Effect of fitness level on time course of recovery after acute strength and high-intensity interval training. J Strength Cond Res XX(X): 000-000, 2024-The aim was to investigate time course of recovery after acute bouts of strength (STR) and high-intensity interval training (HIIT).
View Article and Find Full Text PDFNutrients
January 2025
Faculty of Health, Santo Tomas University, Talca 3460000, Chile.
Cardiovascular diseases increasingly impact youth, with early development of risk factors such as obesity, hypertension, and inadequate nutrient intake. Proper nutrient intake and physical fitness are vital for reducing these risks, especially in pediatric populations. This study explores the connection between physical fitness, metabolic risk, and nutrient status among 1656 Chilean schoolchildren from diverse socio-economic backgrounds.
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