scholarly journals Is the Landing Error Scoring System Reliable and Valid? A Systematic Review

2020 ◽  
Vol 12 (2) ◽  
pp. 181-188 ◽  
Author(s):  
Ivana Hanzlíková ◽  
Kim Hébert-Losier

Context: The Landing Error Scoring System (LESS) is a clinical tool often used in research and practice to identify athletes presenting high injury-risk biomechanical patterns during a jump-landing task. Objective: To systematically review the literature addressing the psychometric properties of the LESS. Data Sources: Three electronic databases (PubMed, Web of Science, and Scopus) were searched on March 28, 2018, using the term “Landing Error Scoring System.” Study Selection: All studies using the LESS as main outcome measure and addressing its reliability, validity against motion capture system, and predictive validity were included. Original English-language studies published in peer-reviewed journals were reviewed. Studies using modified versions of the LESS were excluded. Study Design: Systematic literature review. Level of Evidence: Level 4. Data Extraction: Study design, population, LESS testing procedures, LESS scores, statistical analysis, and main results were extracted from studies using a standardized template. Results: Ten studies met inclusion criteria and were appraised using Newcastle-Ottawa Quality Assessment Scale adapted for cross-sectional studies. The overall LESS score demonstrated good-to-excellent intrarater (intraclass correlation coefficient [ICC], 0.82-0.99), interrater (ICC, 0.83-0.92), and intersession reliability (ICC, 0.81). The validity of the overall LESS score against 3-dimensional jump-landing biomechanics was good when individuals were divided into 4 quartiles based on LESS scores. The validity of individual LESS items versus 3-dimensional motion capture data was moderate-to-excellent for most of the items addressing key risk factors for anterior cruciate ligament (ACL) injury. The predictive value of the LESS for ACL and other noncontact lower-extremity injuries remains uncertain based on the current scientific evidence. Conclusion: The LESS is a reliable screening tool. However, further work is needed to improve the LESS validity against motion capture system and confirm its predictive validity for ACL and other noncontact lower-extremity injuries.

2011 ◽  
Vol 20 (2) ◽  
pp. 145-156 ◽  
Author(s):  
Darin A. Padua ◽  
Michelle C. Boling ◽  
Lindsay J. DiStefano ◽  
James A. Onate ◽  
Anthony I. Beutler ◽  
...  

Context:There is a need for reliable clinical assessment tools that can be used to identify individuals who may be at risk for injury. The Landing Error Scoring System (LESS) is a reliable and valid clinical assessment tool that was developed to identify individuals at risk for lower extremity injuries. One limitation of this tool is that it cannot be assessed in real time and requires the use of video cameras.Objective:To determine the interrater reliability of a real-time version of the LESS, the LESS-RT.Design:Reliability study.Setting:Controlled research laboratory.Participants:43 healthy volunteers (24 women, 19 men) between the ages of 18 and 23.Intervention:The LESS-RT evaluates 10 jump-landing characteristics that may predispose an individual to lower extremity injuries. Two sets of raters used the LESS-RT to evaluate participants as they performed 4 trials of a jump-landing task.Main Outcome Measures:Intraclass correlation coefficient (ICC2,1) values for the final composite score of the LESS-RT were calculated to assess interrater reliability of the LESS-RT.Results:Interrater reliability (ICC2,1) for the LESS-RT ranged from .72 to .81 with standard error of measurements ranging from .69 to .79.Conclusions:The LESS-RT is a quick, easy, and reliable clinical assessment tool that may be used by clinicians to identify individuals who may be at risk for lower extremity injuries.


2016 ◽  
Vol 37 (03) ◽  
pp. e10-e10 ◽  
Author(s):  
H. van der Does ◽  
M. Brink ◽  
A. Benjaminse ◽  
C. Visscher ◽  
K. Lemmink

2015 ◽  
Vol 24 (4) ◽  
Author(s):  
Barbara C. Belyea ◽  
Ethan Lewis ◽  
Zachary Gabor ◽  
Jill Jackson ◽  
Deborah L. King

Context: Lower-extremity landing mechanics have been implicated as a contributing factor in knee pain and injury, yet cost-effective and clinically accessible methods for evaluating movement mechanics are limited. The identification of valid, reliable, and readily accessible technology to assess lower-extremity alignment could be an important tool for clinicians, coaches, and strength and conditioning specialists. Objective: To examine the validity and reliability of using a handheld tablet and movement-analysis application (app) for assessing lower-extremity alignment during a drop vertical-jump task. Design: Concurrent validation. Setting: Laboratory. Participants: 22 healthy college-age subjects (11 women and 11 men, mean age 21 ± 1.4 y, mean height 1.73 ± 0.12 m, mean mass 71 ± 13 kg) with no lower-extremity pathology that prevented safe landing from a drop jump. Intervention: Subjects performed 6 drop vertical jumps that were recorded simultaneously using a 3-dimensional (3D) motion-capture system and a handheld tablet. Main Outcomes Measures: Angles on the tablet were calculated using a motion-analysis app and from the 3D motion-capture system using Visual 3D. Hip and knee angles were measured and compared between both systems. Results: Significant correlations between the tablet and 3D measures for select frontal- and sagittal-plane ranges of motion and angles at maximum knee flexion (MKF) ranged from r = .48 (P = .036) for frontal-plane knee angle at MKF to r = .77 (P < .001) for knee flexion at MKF. Conclusion: Results of this study suggest that a handheld tablet and app may be a reliable method for assessing select lower-extremity joint alignments during drop vertical jumps, but this technology should not be used to measure absolute joint angles. However, sports medicine specialists could use a handheld tablet to reliably record and evaluate lower-extremity movement patterns on the field or in the clinic.


Author(s):  
Sunghe Ha ◽  
Hee Seong Jeong ◽  
Sang-Kyoon Park ◽  
Sae Yong Lee

The purpose of this study is to demonstrate whether neurocognitive evaluation can confirm the association between neurocognitive level and postural control and to analyze the relationship between neurocognitive level and acute musculoskeletal injury in male non-net sports athletes. Seventy-seven male non-net sports athletes participated in this study. The Standardized Assessment of Concussion (SAC), Landing Error Scoring System (LESS), Balance Error Scoring System (BESS), and Star Excursion Balance Test (SEBT) were used for testing; we collected data related to injury history for six months after testing. Pearson’s correlation analysis, logistic regression, and the independent sample t-test were used for statistical analysis. The correlation between SAC and SEBT results was weak to moderate (p < 0.05). Eleven of the seventy-seven participants experienced acute lower limb injuries. SAC, LESS, BESS, and SEBT results have no effect on the occurrence of acute lower extremity injuries (p > 0.05) and were not statistically different between the injured and non-injured groups (p > 0.05). Therefore, using the SAC score alone to determine the risk factor of lower extremity injuries, except in the use of assessment after a concussion, should be cautioned against.


2015 ◽  
Vol 37 (03) ◽  
pp. 251-256 ◽  
Author(s):  
H. van der Does ◽  
M. Brink ◽  
A. Benjaminse ◽  
C. Visscher ◽  
K. Lemmink

2017 ◽  
Vol 52 (11) ◽  
pp. 1002-1009 ◽  
Author(s):  
Timothy C. Mauntel ◽  
Darin A. Padua ◽  
Laura E. Stanley ◽  
Barnett S. Frank ◽  
Lindsay J. DiStefano ◽  
...  

Context:  The Landing Error Scoring System (LESS) can be used to identify individuals with an elevated risk of lower extremity injury. The limitation of the LESS is that raters identify movement errors from video replay, which is time-consuming and, therefore, may limit its use by clinicians. A markerless motion-capture system may be capable of automating LESS scoring, thereby removing this obstacle. Objective:  To determine the reliability of an automated markerless motion-capture system for scoring the LESS. Design:  Cross-sectional study. Setting:  United States Military Academy. Patients or Other Participants:  A total of 57 healthy, physically active individuals (47 men, 10 women; age = 18.6 ± 0.6 years, height = 174.5 ± 6.7 cm, mass = 75.9 ± 9.2 kg). Main Outcome Measure(s):  Participants completed 3 jump-landing trials that were recorded by standard video cameras and a depth camera. Their movement quality was evaluated by expert LESS raters (standard video recording) using the LESS rubric and by software that automates LESS scoring (depth-camera data). We recorded an error for a LESS item if it was present on at least 2 of 3 jump-landing trials. We calculated κ statistics, prevalence- and bias-adjusted κ (PABAK) statistics, and percentage agreement for each LESS item. Interrater reliability was evaluated between the 2 expert rater scores and between a consensus expert score and the markerless motion-capture system score. Results:  We observed reliability between the 2 expert LESS raters (average κ = 0.45 ± 0.35, average PABAK = 0.67 ± 0.34; percentage agreement = 0.83 ± 0.17). The markerless motion-capture system had similar reliability with consensus expert scores (average κ = 0.48 ± 0.40, average PABAK = 0.71 ± 0.27; percentage agreement = 0.85 ± 0.14). However, reliability was poor for 5 LESS items in both LESS score comparisons. Conclusions:  A markerless motion-capture system had the same level of reliability as expert LESS raters, suggesting that an automated system can accurately assess movement. Therefore, clinicians can use the markerless motion-capture system to reliably score the LESS without being limited by the time requirements of manual LESS scoring.


2020 ◽  
Vol 11 (3) ◽  
Author(s):  
Nahum Nahum ◽  
Jull Kurniarobbi ◽  
Trevino Aristarkus Pakasi

Background: Student-athletes who are still experiencing physical and psychological growth and developmentally immature are prone to getting sports injuries. Landing Error Scoring System (LESS) is a screening tool to assess the risk of injury to determine the movement error of jumping and landing. Objectives: The purpose of this study was to find the scientific evidence regarding the role of LESS concerning lower extremity injuries. Methods: This cross-sectional study involving eighty-seven participants from six sports divisions at the Pusat Pelatihan Olahraga Pelajar (PPOP) DKI Jakarta. The participants performed history taking, physical examination, and jump-landing tasks using LESS analysis. Participants will be monitored for three months to determine the lower extremity injuries event. In addition to the results of LESS, gender, history of previous injuries in the last six months, and body posture alignment will also be analyzed in conjunction with lower extremity injuries using SPSS v.20.0 software. Results: The average of 16-year-old participants with boys more than girls (60.9%). LESS result, gender and body posture alignment did not show a significant association with lower extremity injuries (P > 0.05). History of previous injuries in the last six months and duration of training less than five years had a significant relationship with lower extremity injuries (P < 0.01 and P < 0.05). Conclusions: The application of the LESS test for assessing the risk of lower extremity injuries in athletes of PPOP needs further research. Because lower extremity injuries may be due to other risk factors such as a history of previous injuries and the duration of the training, the more in-depth pre-participation examination of athletes for injury risk factor screening is needed.


2021 ◽  
Vol 9 (5) ◽  
pp. 232596712110034
Author(s):  
Toufic R. Jildeh ◽  
Fabien Meta ◽  
Jacob Young ◽  
Brendan Page ◽  
Kelechi R. Okoroha

Background: Impaired neuromuscular function after concussion has recently been linked to increased risk of lower extremity injuries in athletes. Purpose: To determine if National Football League (NFL) athletes have an increased risk of sustaining an acute, noncontact lower extremity injury in the 90-day period after return to play (RTP) and whether on-field performance differs pre- and postconcussion. Study Design: Cohort study, Level of evidence, 3. Methods: NFL concussions in offensive players from the 2012-2013 to the 2016-2017 seasons were studied. Age, position, injury location/type, RTP, and athlete factors were noted. A 90-day RTP postconcussive period was analyzed for lower extremity injuries. Concussion and injury data were obtained from publicly available sources. Nonconcussed, offensive skill position NFL athletes from the same period were used as a control cohort, with the 2014 season as the reference season. Power rating performance metrics were calculated for ±1, ±2, and ±3 seasons pre- and postconcussion. Conditional logistic regression was used to determine associations between concussion and lower extremity injury as well as the relationship of concussions to on-field performance. Results: In total, 116 concussions were recorded in 108 NFL athletes during the study period. There was no statistically significant difference in the incidence of an acute, noncontact lower extremity injury between concussed and control athletes (8.5% vs 12.8%; P = .143), which correlates with an odds ratio of 0.573 (95% CI, 0.270-1.217). Days (66.4 ± 81.9 days vs 45.1 ± 69.2 days; P = .423) and games missed (3.67 ± 3.0 vs 2.9 ± 2.7 games; P = .470) were similar in concussed athletes and control athletes after a lower extremity injury. No significant changes in power ratings were noted in concussed athletes in the acute period (±1 season to injury) when comparing pre- and postconcussion. Conclusion: Concussed, NFL offensive athletes did not demonstrate increased odds of acute, noncontact, lower extremity injury in a 90-day RTP period when compared with nonconcussed controls. Immediate on-field performance of skill position players did not appear to be affected by concussion.


2021 ◽  
Vol 9 (7_suppl3) ◽  
pp. 2325967121S0014
Author(s):  
Danielle A Farzanegan ◽  
Emily Francione ◽  
Nicole Melfi

Background: Artistic competitive gymnastics results in a wide, unique spectrum of injuries. Due to the high number of injuries and the current lack of research related to pre-competitive testing in adolescent gymnasts, it is crucial to find a method to predict the likelihood of an athlete sustaining an in-season injury. Purpose: The purpose of this study was to 1) describe the frequency and type of pre-season and in-season injuries, 2) determine if there were differences in physical performance tests between those who had a lower extremity (LE) injury in-season and those who did not, and 3) determine if there were differences in age, level, sex, BMI, sport modifications, previous injury, and current injury between those who had a LE injury and those who didn’t. Methods: Thirty-seven adolescent gymnasts (average age: 12.81 years) were included with levels ranging from 5 (novice) to 10 (elite). Participants (15 males and 22 females) were surveyed for previous and current injury. The athletes completed a performance battery before the competition season including: Lower Quarter Y-Balance Test (LQYBT), Closed Kinetic Chain dorsiflexion (CKCDF), single hop (SH), triple hop (TH), and the Functional Movement Screen (FMS). Follow-up data was collected at the end of the competitive season for comparison. The data was analyzed using descriptive methods and comparative analyses including chi-square and independent t-tests with an alpha level set at .05. Results: Sixty-five percent reported an injury in the last year and seventy-eight percent reported pre-season injuries at testing day. The most common location for pre-season injury was the ankle/foot (24% and 31% respectively). There were no differences between injured and non-injured athletes when comparing asymmetries in CKCDF, LQYBT posteromedial or posterolateral reach, hop testing, or FMS. The LQYBT-anterior scores were significantly different at p=.049 between the injured versus uninjured groups, with 91% of the in-season injury group having a difference <4cm. Similarly, the LQYBT-composite score using a cut-off of 95% was significant at p=.043 with those >95% category being more likely to get injured. There were no significant differences in demographic information comparing injury occurrence. Conclusion: The tested physical performance battery may be useful in tracking gymnasts over time, but may not be beneficial in forecasting injuries in a sport with high percentages of acute injuries. The collected injury volume may not be reflective of a standard season as COVID-19 decreased the number of competitions. Additional research to identify athletes at risk for injury requires further investigation.


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