Literature DB >> 34386284

The Non-injured Leg Can Be Used as a Reference for the Injured Leg in Single-legged Hop Tests.

Astrid Vereijken1, Emiel van Trijffel2, Inne Aerts3, Bruno Tassignon4, Jo Verschueren5, Romain Meeusen6.   

Abstract

BACKGROUND: Single-legged hop tests are frequently used in substantiating return to sport decisions following lower extremity injury. Evidence for using the non-injured leg as a reference for the injured leg in the return to sport decision-making at the criterion-based point of return to sport following lower extremity injury is lacking.
PURPOSE: To compare absolute values in single-legged hop tests between the non-injured leg of athletes returning to high-impact sports after lower extremity injury and the matched leg of healthy athletes. STUDY
DESIGN: Cross-sectional study.
METHODS: One hundred and sixty-nine athletes returning to high-impact sports after lower extremity injury and 169 matched healthy athletes executed five single-legged hop tests. Differences between athletes returning to high-impact sports after lower extremity injury and matched healthy athletes on five single-legged hop tests were analyzed using paired t-tests.
RESULTS: There were no statistically significant differences between the non-injured leg of athletes returning to sport and the matched leg of healthy athletes. Effect sizes ranged from 0.05 to 0.14 indicating negligible effects.
CONCLUSION: Clinicians can use the non-injured leg as a reference for the injured leg in single-legged hop tests for deciding on return to high-impact sports after lower extremity injuries. LEVEL OF EVIDENCE: 3b.

Entities:  

Keywords:  hop tests; lower extremity injuries; return to sport

Year:  2021        PMID: 34386284      PMCID: PMC8329313          DOI: 10.26603/001c.25758

Source DB:  PubMed          Journal:  Int J Sports Phys Ther        ISSN: 2159-2896


INTRODUCTION

Lower extremity injuries frequently occur in the athletic population with more than half occurring during high-impact sports. For most injured athletes it is important to return to their pre-injury sports level, but only 52%-65% actually achieve this. In addition, athletes returning to sport have up to 25% (re-)injury risk, often at an early stage of the return to sport (RTS) period. Low rates of returning to pre-injury sports level and high risks of second injury after RTS highlights the importance of accurate RTS decision-making. In multidimensional RTS decision-making, hop tests play an important role in measuring functional performance. Single-legged hop tests assess the performance of the entire lower extremity and athletes’ ability to perform components of sport-specific actions such as hopping. It has been suggested that an athlete is ready for RTS when the Limb Symmetry Index (LSI) is ≥90%, implying that performance of the injured leg corresponds to 90% or more with the non-injured leg. However, the LSI is a controversial construct as deficits of the injured leg could be underestimated when using the detrained non-injured leg as a reference standard. In comparison with healthy athletes, strength and performance deficits of both the injured and non-injured leg have been found following anterior cruciate ligament reconstruction (ACLR). When clinicians rely on using the possibly detrained non-injured leg as a reference for the injured leg in RTS decision-making following ACLR, athletes could more easily attain an LSI of ≥90%. This may result in premature RTS clearance possibly leading to a higher risk for a (re)injury. Although the hop tests and the LSI were designed to support RTS decision-making after anterior cruciate ligament injury (ACLI) or ACLR, these hop tests are also used in clinical practice to make RTS decisions after other lower extremity injuries of the hip, ankle, and the hamstring(s). While the studies regarding bilateral deficits after ACLR included athletes at a time-based approach when athletes might not even be ready for RTS, no studies have investigated differences in hop tests in athletes who were, according to their physical therapists, at the criterion-based point of RTS and ready for RTS following different types of lower extremity injuries compared with matched healthy athletes. This may provide clinicians information regarding whether or not the non-injured leg can be used as a reference standard for the injured leg that is essential to substantiate the criterion based RTS decision-making following lower extremity injuries. Therefore, the primary purpose of this study was to compare performance in single-legged hop tests between the non-injured leg of athletes returning to high-impact sports after lower extremity injury (RTS athletes) and the matched leg of healthy athletes. In addition, this study aimed to assess differences in LSI and absolute values for the injured and matched leg between RTS athletes and healthy athletes.

MATERIALS AND METHODS

A cross-sectional study was conducted in primary care physical therapy practices in the Netherlands between April 2018 and November 2018. The study was approved by METC Zuyderland Zuyd Heerlen, the Netherlands (METCZ20180024). Written informed consent was obtained from all athletes.

Participants

Twenty-eight physical therapists, studying for a sports physical therapy master’s degree in the same educational institution, recruited and tested RTS athletes and matched healthy athletes. Each physical therapist included one RTS athlete of each of the six most prevalent lower extremity injury types; conservative treated knee injury, surgically treated knee injury, calf injury, hamstring injury, ankle inversion injury, or adductor injury. RTS athletes were all included at the criterion-based point of RTS. The physical therapists gave clearance for RTS according to the definition by Ardern et al: “Returning to the defined sport, but not performing at the desired performance level” regardless of whether this was based on objective criteria or not. In order to have a real-life presentation of RTS-decisions in the usual care of physical therapists, the researchers were not involved in the rehabilitation process and RTS decision-making. After RTS clearance, RTS athletes were eligible for participation if they met the following criteria: 18-45 years of age and participating at least twice a week in high-impact sports before the injury. A lower extremity injury was considered as a time-loss injury resulting in the athlete not being able to practice their sport for at least one training or match. High-impact sports were defined as sports involving jumping, pivoting, and changes of direction. Athletes were excluded if they had a rheumatic or a neurological disease. For each included RTS athlete, a healthy athlete, practicing sport at the desired performance level without injury, was selected and matched by gender, sport, age (range within five years), height (range within 10 centimeters), and dominant leg (the leg used to kick a ball). Physical therapists recruited healthy athletes via the network in sport clubs or the team or network of the RTS athlete. Healthy athletes were eligible for participation if they met the same criteria as the RTS athletes with the exception of having suffered a lower extremity injury.

Hop tests

Five single-legged hop tests were executed according to previously described protocols. The hop tests were the single hop, triple hop, crossover hop, vertical jump, and 30 seconds side hop. Athletes were allowed to use arm swings. For the single, triple, and crossover hop, athletes were instructed to hop as far as possible for one jump, three jumps, or three diagonal jumps respectively. The distance was measured from the toe at the starting position to the toe at the landing position using a standard tape measure. For the vertical jump, the athlete was instructed to jump as high as possible with chalk on the tip of the middle finger, where the standing reach height was subtracted from the total jump height. For the single hop, triple hop, crossover hop, and vertical jump, athletes were asked to maintain a balanced landing for two seconds. A failed jump involved the loss of balance, touching the floor with the arms or contralateral leg, or using an additional hop on landing. Failure resulted in a disqualified hop. For the 30 seconds side hop the athletes were instructed to jump from side to side, over two strips 40 centimeter apart, as many times as possible in 30 seconds. Number of jumps, without touching the tape or touching the floor with the other foot, was recorded. For these hop tests, test-retest reliability ranges from 0.80 to 0.97.

Procedures

Physical therapists received written instructions for the test procedures, execution, and scoring of the hop tests. In addition, physical therapists attended a three-hour practice session and received written instructions for the test procedures (Appendix 1). Before testing, athletes filled out a questionnaire regarding personal characteristics, their injury, and sport participation. A warm-up was carried out before the hop tests, during which the athlete ran for five minutes at a comfortable pace. After the therapist explained and demonstrated the hop test, the athlete practiced the test once. Tests were executed three times per leg. Failure to perform an attempt according to the protocol resulted in a disqualified hop. Besides the given instructions, athletes were not verbally encouraged. Hop tests were completed wearing sport shoes on a hard, even, and non-slippery surface. The order of hop tests and the leg that started were randomized (random.org). The hop tests were carried out alternately with both legs. Between the three trials of the 30 seconds side hop, athletes could rest for 30 seconds.

Statistical analysis

Leg matching was achieved by matching the injured and non-injured leg of the RTS athlete with the corresponding leg of the healthy athlete. The maximum values for both legs were used. In case of three disqualified hop tests, the maximum value could not be used. The LSI was calculated by dividing the score of the injured leg or matched leg by the score of the non-injured leg or matched leg multiplied by 100%. Descriptive statistics were calculated to summarize athletes’ characteristics and outcomes of the hop tests. The differences in characteristics between RTS athletes and healthy athletes were analyzed using the McNemar test for dichotomous data and the paired t-test for continuous data. Test-retest reproducibility using the values of each leg of the hop tests was measured by calculating an Intraclass Correlation Coefficient agreement (ICCa) (two-way random effects model, single measure). An ICC above 0.75 represents excellent reproducibility; 0.60-0.74 good reproducibility; 0.40-0.59 fair reproducibility; and <0.40 low reproducibility. Differences in paired data regarding hop test outcomes between RTS athletes and healthy athletes were examined for normal distribution. In case of normal distribution, the paired t-test was used to compare differences in hop tests between RTS athletes and healthy athletes. When data were non-normally distributed, the Wilcoxon signed rank test was used. For sensitivity analysis, the before mentioned differences were also analyzed using the mean score of the hop tests, because the mean is also used in clinical practice. The Cohens’ d was used to analyze the magnitude of difference with the effect size. The effect size is an objective, standardized, and easy to interpret measure regarding how big the difference is. An effect size of 0.20-0.49 was considered as small; 0.50-0.79 as medium; and ≥ 0.80 as large. Statistical significance was set at the p<0.05 level. Statistical Package for the Social Science (IBM SPSS, Chicago, IL, version 25) for Windows was used for statistical analysis. Sample size was calculated using G*Power two-tailed with an alpha of 0.05, a power of 0.95, and a small effect size (0.2), resulting in a required sample size of 327 athletes.

RESULTS

Characteristics of athletes

One hundred ninety-two RTS athletes were eligible for participation, but 23 were excluded. The excluded RTS athletes were not significantly different from included RTS athletes regarding gender, age, weeks since injury occurrence, and weeks in rehabilitation. Also 23 healthy athletes were excluded, who were not significantly different in gender and age compared to included healthy athletes. Hop tests were completed by 169 RTS athletes and 169 healthy athletes, both aged 25.8 years (± 5.7, 5.6, respectively). Of all participating athletes, 70.4% were male. Among RTS athletes, 28 athletes were surgically treated for knee injuries (16.2%), of which 76% underwent an ACLR. There were 141 athletes conservatively treated, including 29 athletes with knee injuries (17.2%), 28 with calf injuries (16.2%), 28 with hamstring injuries (16.2%), 28 with ankle inversion injuries (16.2%), and 28 with adductor injuries (16.2%). Soccer (61.2%), hockey (10%), handball (7%), and volleyball (6%) were the most prevalent practiced sports. No significant differences were observed between RTS athletes and healthy athletes regarding gender, age, height, dominant leg, number of training sessions, number of matches, minutes training, and minutes matches per week. The percentage of RTS athletes meeting LSI’s ≥90% ranged from 61.5% to 81.7%. In the healthy athletes, the percentage of athletes meeting LSI’s ≥90% ranged from 71.0% to 91.1% (Table 1).

Table 1. Characteristics of RTS athletes and healthy athletes

RTS Athletes (n=169) Healthy athletes (n=169) p-value
Males, n (%) 119 (70.4)119 (70.4)1.00
Age (yrs.) 25.8 ± 5.725.8 ± 5.60.89
Height (cm) 180.4 ± 8.2180.5 ± 7.80.79
Dominant right leg, n (%) 152 (89.9)152 (89.9)1.00
Number of training sessions per week 3.0 ± 1.62.9 ± 1.60.80
Minutes training per week 230.2 ± 119.3233.5 ± 131.00.76
Number of matches per week 1.0 ± 0.41.00 ± 0.40.96
Minutes matches per week 79.2 ± 32.980.7 ± 34.70.44
Time since injury occurrence (weeks) 23.2 ± 30.1--
Time in rehabilitation (weeks) 14.9 ± 20.2--
Single hop LSI ≥90, n (%) 138 (81.7) (n=167)151 (89.3) (n=166)0.07
Triple hop LSI ≥90, n (%) 135 (79.9) (n=168)154 (91.1) (n=166)<0.01*
Crossover hop LSI ≥90, n (%) 134 (79.3)148 (87.6) (n=163)<0.01*
Vertical jump LSI ≥90, n (%) 104 (61.5) (n=158)120 (71.0) (n=161)0.11
30 seconds side hop LSI 90, n (%) 125 (74.0)135 (79.9)0.22

±=standard deviation, cm=centimeter, LSI=Limb Symmetry Index, max=maximum, min=minimum, RTS=Return to Sport, yrs.=years, *=significant difference between athletes returning to sport and matched healthy athletes

±=standard deviation, cm=centimeter, LSI=Limb Symmetry Index, max=maximum, min=minimum, RTS=Return to Sport, yrs.=years, *=significant difference between athletes returning to sport and matched healthy athletes

Test-retest reproducibility hop tests

Test-retest reproducibility of the hop tests ranged from ICCa 0.87 to ICCa 0.94, indicating excellent reproducibility.

Comparisons between the non-injured leg in RTS athletes and the matched leg in healthy athletes

No significant differences were found between the non-injured leg of RTS athletes and the matched leg of healthy athletes, with effect sizes ranging from 0.05 to 0.14 (Figure 1). On the absolute scores of the non-injured leg, RTS athletes performed worse on all hop tests compared to the healthy athletes (Table 2).

Figure 1. Box plots hop test outcomes non-injured legs RTS athletes and matched legs of healthy athletes

Table 2. Comparison of scores on the hop tests of the injured and non-injured leg between RTS athletes and the matched legs in healthy athletes

Hop test RTS athletes (n=169) Healthy athletes (n=169) Mean difference ± SD (95% CI) p-value
Single hop
Injured or matched leg (cm) Mean ± SD 4 missing176.9 ± 35.3 2 missing181.1 ± 31.7 2 missing-4.7 ± 35.2 (-10.1 – 0.7)0.09 ES 0.13
Non-injured or matched leg (cm) Mean ± SD 1 missing181.4 ± 33.3 0 missing183.2 ± 31.2 1 missing-1.8 ± 32.0 (-6.6 – 3.1)0.48 ES 0.06
Triple hop
Injured or matched leg (cm) Mean ± SD 2 missing500.5 ± 92.0 1 missing519.7 ± 87.7 1 missing-19.1 ± 82.2 (-31.7 – -6.6)*<0.01* ES 0.23
Non-injured or matched leg (cm) Mean ± SD 2 missing517.6 ± 88.6 0 missing521.5 ± 85.4 2 missing-4.1 ± 79.7 (-16.3 – 8.0)0.50 ES 0.05
Crossover hop
Injured or matched leg (cm) Mean ± SD 2 missing451.0 ± 98.0 0 missing477.6 ± 92.5 2 missing-26.7 ± 95.4 (-41.3 – -12.2)*<0.01* ES 0.28
Non-injured or matched leg (cm) Mean ± SD 4 missing461.3 ± 98.9 0 missing475.1 ± 92.3 4 missing-13.3 ± 96.2 (-28.0 – 1.5)0.08 ES 0.14
Vertical jump
Injured or matched leg (cm) Mean ± SD 12 missing23.6 ± 8.0 7 missing24.7 ± 7.8 6 missing-1.0 ± 8.3 (-2.3 – 0.3)0.13 ES 0.12
Non-injured or matched leg (cm) Mean ± SD 8 missing24.6 ± 7.8 4 missing25.0 ± 7.8 4 missing-0.6 ± 8.8 (-1.9 – 0.8)0.42 ES 0.07
30 seconds side hop
Injured or matched leg (x) Mean ± SD 0 missing47.1 ± 14.6 0 missing50.5 ± 14.1 0 missing-3.4 ± 13.0 (-5.4 – -1.4)*<0.01* ES 0.26
Non-injured or matched leg (x) Mean ± SD 0 missing48.8 ± 13.9 0 missing50.5 ± 14.4 0 missing-1.8 ± 12.7 (-3.7 – 0.2)0.08 ES 0.14

*=significant difference between athletes returning to sport and matched healthy athletes, cm=centimeter, CI=confidence interval, ES=effect size, RTS=Return to Sport, SD=standard deviation, x=number of correct performed jumps

*=significant difference between athletes returning to sport and matched healthy athletes, cm=centimeter, CI=confidence interval, ES=effect size, RTS=Return to Sport, SD=standard deviation, x=number of correct performed jumps

Comparisons between the injured leg in RTS athletes and the matched leg in healthy athletes

For the triple hop, crossover hop, and 30 seconds side hop, a significant difference was found for the injured leg in RTS athletes compared to matched leg of healthy athletes (p<0.01), with effect sizes ranging from 0.23 to 0.28, indicating small effects. On the absolute scores of the injured leg, RTS athletes performed worse on all hop tests compared to the healthy athletes (Table 2).

Comparisons of LSI’s between RTS athletes and healthy athletes

LSI of RTS athletes was significantly lower for the single hop (p=0.01), triple hop (p=<0.01), and 30 seconds side hop (p=0.02) compared to LSI of healthy athletes, with effect sizes ranging from 0.19 to 0.26. For the crossover hop and vertical jump, RTS athletes scored lower LSI’s compared to healthy athletes, but these differences were not significant (Table 3).

Table 3. Comparison of LSI between RTS athletes and healthy athletes

Hop test RTS athletes Healthy athletes Mean difference ± SD (95% CI) p-value
Single hop LSI (%) ± SD 5 missing97.1 ± 10.2 2 missing99.5 ± 8.5 3 missing-2.5 ± 12.9 (-4.6 – -0.5)*0.01* ES 0.19
Triple hop LSI (%) ± SD 4 missing96.9 ± 9.2 1 missing99.8 ± 7.2 3 missing-2.9 ± 11.2 (-4.6 – -1.5)*<0.01* ES 0.26
Crossover hop LSI (%)± SD 6 missing98.6 ± 13.5 0 missing100.7 ± 8.9 6 missing-1.9 ± 15.8 (-4.3 – 0.6)0.14 ES 0.12
Vertical jump LSI (%)± SD 17 missing97.9 ± 20.7 11 missing99.9 ± 18.9 8 missing-1.8 ± 28.4 (-6.3 – 2.8)0.45 ES 0.06
30 seconds side hop LSI (%) ± SD 0 missing97.2 ± 17.4 0 missing101.8 ± 17.2 0 missing-4.5 ± 24.2 (-8.2 – -0.9)*0.02* ES 0.19

*=significant difference between athletes returning to sport and matched healthy athletes, CI=confidence interval, ES=effect size, LSI=Limb Symmetry Index, RTS=Return to Sport, SD=standard deviation

*=significant difference between athletes returning to sport and matched healthy athletes, CI=confidence interval, ES=effect size, LSI=Limb Symmetry Index, RTS=Return to Sport, SD=standard deviation

Sensitivity analysis

When using the mean outcomes of the hop tests instead of the maximum outcomes, RTS athletes also did not perform significantly differently with their non-injured leg compared to the matched leg of healthy athletes (Table 4). In addition, both the outcomes of the injured leg and the LSI were also lower in RTS athletes compared to the matched leg and the LSI of healthy athletes.

Table 4. Comparison of mean scores on the hop tests between the non-injured leg in RTS athletes and the matched leg in healthy athletes

Hop test RTS athletes (n=169) Healthy athletes (n=169) Mean difference ± SD (95% CI) p-value
Single hop
Non-injured or matched leg (cm) Mean ± SD142.4 ± 49.2143.8 ± 50.5-1.4 ± 57.8 (-10.1 – 7.4)0.76 ES 0.02
Triple hop
Non-injured or matched leg (cm) Mean ± SD411.7 ± 136.9390.9 ± 146.220.8 ± 152.3 (-2.3 – 43.9)0.08 ES 0.14
Crossover hop
Non-injured or matched leg (cm) Mean ± SD351.7 ± 133.3346.0 ± 138.45.7 ± 152.2 (-17.4 – 28.8)0.63 ES 0.04
Vertical jump
Non-injured or matched leg (cm) Mean ± SD18.2 ± 8.719.1 ± 9.0-0.9 ± 9.3 (-2.3 – 0.5)0.20 ES 0.10
30 seconds side hop
Non-injured or matched leg (x) Mean ± SD45.2 ± 13.846.8 ± 14.4-1.6 ± 12.7 (-3.6 – 0.2)0.10 ES 0.13

cm=centimeter, CI=confidence interval, ES=effect size, RTS=Return to Sport, SD=standard deviation, x=number of correct performed jumps

cm=centimeter, CI=confidence interval, ES=effect size, RTS=Return to Sport, SD=standard deviation, x=number of correct performed jumps

DISCUSSION

This study found no differences between the non-injured leg of RTS athletes after lower extremity injury and the matched leg of healthy athletes. This suggests that the non-injured leg could be used as a reference for the injured leg in athletes when deciding on return to high-impact sports. In addition, although RTS athletes performed consistently lower with their injured leg and had a lower LSI compared to the matched leg and LSI of healthy athletes, differences were negligible to small.

The non-injured leg as a reference for the injured leg in RTS decision-making

Previous authors studying athletes after ACLR found that performance of both the injured and non-injured leg was significantly lower compared to the matched leg of healthy athletes. In these time-based studies, athletes were tested six to nine months after ACLR, with the time frame as main criterion to establish whether an athlete was ready to RTS. However, RTS clearance might have been premature since it has been advised to delay RTS to at least nine months after ACLR. The 28 RTS athletes in this study after surgically treated knee injuries were 43 weeks (± 20) in rehabilitation. When comparing the hop test outcomes of the non-injured legs with the matched leg of healthy athletes, no significant differences were found with effect sizes ranging from 0.03 to 0.35. This indicates that also after surgically treated knee injuries at the criterion-based point of RTS the non-injured leg could be used as reference for the surgically treated leg, however, the sample size of 28 is too small to make a substantiated statement. Although athletes after ACLR were able to achieve LSI’s of ≥90 %, they failed to meet normative or pre-injury performance levels. This raises concerns regarding the value of the LSI in the RTS decision-making process which may contribute to premature or unsuccessful RTS with an increased risk for a second ACLI. In addition, no association was found between passing RTS hop test criteria on the LSI and RTS or between passing RTS hop test criteria on the LSI and the risk of a reinjury. These findings also indicate that there is an urgent need to reconsider the use of the LSI as RTS criterion. It is recommended that the non-injured leg is tested immediately after the injury for a more relevant benchmark in the athlete-centered approach or, more preferably, that both legs are tested prior to injury in order to be able to compare with the athletes’ own pre-injury scores and not with matched healthy athletes. Since pre-injury scores are often not available in clinical practice, using the non-injured leg as reference standard for the injured leg is an alternative in RTS criterion-based decision-making as this study found that the non-injured leg of RTS is not significantly different from the matched leg of healthy athletes. Despite RTS clearance was given by the physical therapists in this study, RTS athletes not meeting LSI’s of ≥90% on each of the hop tests ranged from 18.3% to 38.5%. This range at the criterion-based point of RTS is consistent with previous studies where athletes 11-38 months after ACLI or six to seven months after ACLR not meeting LSI’s of ≥90% ranged from 19% to 86%. Also, 8.9% to 29.0% of healthy athletes in this study did not meet LSI’s of ≥90% on the separate hop tests. Previous findings reported that LSI’s of ≥90% were not achieved in 5% to 20% of the healthy athletes. For healthy athletes, who have no injured and non-injured leg for calculating the LSI, an LSI below 90% or above 110% can be used for asymmetry. When using these cut off scores, asymmetry was present in 16.0% to 51.5% of the healthy athletes in the current study in at least one of the hop tests. This high number of healthy athletes failing to reach the LSI of ≥90% and ≤110% also raises the question regarding the use of the LSI in RTS decision-making if there might be different scores for the dominant or non-dominant leg of ≥10%. The use of pre-injury hop scores is again recommended to compare with hop scores at the time of RTS. However, the non-injured leg can be used as a reference for the injured leg if pre-injury hop scores are not available.

Using maximum and mean outcomes of hop tests

In this study, failure to perform an attempt according to the protocol resulted in a disqualified hop and no repeated attempt was allowed due to the time it takes to execute all hop tests three times per leg. On each attempt, 18.2% of the RTS athletes and 18.5% of the healthy athletes had a disqualified hop. In previous studies, maximum or mean values of three attempts or three successful trials have been used to calculate the LSI. In most of the studies, an unsuccessful landing resulted in a repeated trial. Sometimes additional trials were allowed when hop test scores increased or even when the athlete or administrator felt that a better result could be achieved. In these previous studies, it is not described how many trials were conducted before there were enough approved trials. In this study, it is possible that repeated trials increased the hop test outcomes of athletes. It could be questionable that RTS athletes resume to training with one fifth disqualified outcomes. However, healthy athletes had the same amount of disqualified outcomes. The results of the current study suggest that the non-injured leg can be used as a reference standard for the injured leg independent of using the maximum or mean scores. The percentage of RTS athletes meeting LSI’s ≥90% based on mean scores ranged from 54.4% for the vertical jump to 71.6% for the 30 seconds side hop. The percentage of RTS athletes meeting an LSI of ≥90% is significantly higher for maximum scores than for mean scores in all hop tests except the 30 seconds side hop. Clinicians should keep in mind that passing the LSI of ≥90% is achieved more easily using the maximum score with the possible consequence of too early RTS and a higher risk of reinjury.

Limitations of this study

This study has three potential limitations. First, there might have been bias in the selection of RTS athletes. Physical therapists were allowed to select athletes, but this was not conducted in a consecutive order or using random sampling. Secondly, RTS athletes could have become familiar with the hop tests during rehabilitation or in RTS-decision making, leading to a possible overestimation of hop test scores for the RTS athletes. Van Melick et al. also reported this limitation that is unavoidable when athletes are in rehabilitation to RTS and the physical therapist regularly evaluates the function. On the other hand, in this study the percentage disqualified hop tests was similar in the RTS athletes (18.2%) and healthy athletes (18.5%). And third, athletes performed one practice trial and three test trials. In previous studies, one to ten practice trials were executed because of the possible learning effect where scores might improve across trials. It is therefore possible that after one practice trial and three test trials the scores may have increased. However, one previous study found that results could also have stabilized after three or four trials. Although in our study, the maximum score is almost always reached in the third trial, the second trial is not significantly higher than the first trial and the third trial is not significantly higher than the second trial.

Clinical implications and future research

The current findings indicate that the non-injured leg can be used as a reference for the injured leg after lower extremity injury in RTS decision-making. Davies et al. advised to use two hop tests in different planes to detect abnormality in hop test function. By testing in different planes of motion, the clinician can more clearly identify movement deficits, and these can be subsequently developed through targeted training. However, RTS is complex and influenced by more factors than only single-legged hop tests. In addition to the role of hop tests in multidimensional RTS decision-making, psychological factors, sport-specific decision modifiers, and quality of movement are also important. Measuring and possibly treating psychological responses such as fear is recommended before RTS as negative responses are associated with RTS and (re-)injury. The decision for readiness to RTS also depends on type of sport, level of play, position of play, and playing experience. Besides hop distance or height, factors related to neuromuscular control should also be assessed. For further research is it recommended to measure RTS outcomes such as movement quantity and quality.

CONCLUSION

No differences in single-legged hop tests were observed between the non-injured leg of RTS athletes after lower extremity injury and the matched leg of healthy athletes. Since pre-injury scores are often not available in clinical practice, clinicians can use the score of the non-injured leg as a reference for the score of the injured leg in single-legged hop tests for deciding on return to high-impact sports after lower extremity injuries.

Declaration of Conflict of Interest

All authors declare that they have no conflicts of interest relevant to the content of this manuscript.
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1.  A Compound Hop Index for Assessing Soccer Players' Performance.

Authors:  Łukasz Oleksy; Aleksandra Królikowska; Anna Mika; Maciej Kuchciak; Daniel Szymczyk; Marian Rzepko; Grzegorz Bril; Robert Prill; Artur Stolarczyk; Paweł Reichert
Journal:  J Clin Med       Date:  2022-01-04       Impact factor: 4.241

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