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Article

Detection of Neuromuscular Deficits in Movement Pattern among Uninjured Federated Youth Basketball Players: A Cross-Sectional Study

by
Cristina Adillón
1,*,
Montse Gallegos
2,
Silvia Treviño
2 and
Isabel Salvat
1
1
Department of Medicine and Surgery, Faculty of Medicine and Health Sciences, Institut d’Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, 43204 Reus, Spain
2
Health Department, Catalan Basketball Federation, 08018 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(7), 4077; https://doi.org/10.3390/ijerph19074077
Submission received: 31 January 2022 / Revised: 22 March 2022 / Accepted: 25 March 2022 / Published: 29 March 2022
(This article belongs to the Special Issue Injury Prevention in Sport)
Browse Figure
Versions Notes

Abstract

:
(1) Background: The aim of the present study was to evaluate and to detect neuromuscular deficiencies in static and dynamic tests among federated youth basketball players. (2) Methods: Cross-sectional study with 778 basketball players. Specific tests and trials were conducted to evaluate members of teams from several clubs in male and female from under 12 (U12) to under 17 (U17) categories. The evaluations consisted of static physical measurements and dynamic measurements. (3) Results: 575 players were included in this study. A total of 95% of participants are unable to keep their ankle stable in monopodial loading; 86% present dynamic lower extremity valgus with statistically significant differences between categories (p = 0.004); 94% are unable to keep the pelvis stable when performing a single-leg squat; 93% are unable to keep their trunk stable when performing the same movement. During landing, 96% present dynamic lower extremity valgus. The thighs of 92% do not reach parallel (peak of jump). (4) Conclusions: The most frequent neuromuscular deficits in federated youth basketball players are related to instability, the most frequent being ankle instability, followed by lumbo-pelvic instability, dynamic postural instability and dynamic knee valgus. Deficits in jumping/landing technique are also very frequent in all the items analyzed (jumping, landing and plyometrics). The performed tests, which mostly showed a poor performance by the sample, can be indicative of injury probability.

1. Introduction

Basketball has become an increasingly physical game in which contact is accepted and expected [1]. It is considered a high average injury incidence sport, with 10 injuries per 1000 h of exposure [2,3]. Unlike other team sports, it combines a high proportion of high intensity and explosive actions, including running, turning, accelerating, jumping and landing, interspersed with frequent changes of direction, decelerating and stops [4]. These actions are very demanding on the lower limbs and increase the risk of lower extremity injury [5]. The most frequent injuries occur during training (67%), especially in the ankle (30–48%) and the knee (18%) [6,7,8,9,10]. Although males are more often affected by such injuries, in females, they lead to a longer recovery time and inability to compete [10,11]. The most vulnerable group is adolescents [12,13]. These players may not be in the same physical condition as those playing at higher levels. An excessive and overly rapid increase in the training load may cause negative adaptations, which in turn can lead to injury and illness [14,15].
In contrast, almost half of all injuries are estimated to be caused by a non-contact mechanism [16], which makes them preventable. Therefore, to reduce and minimize the incidence of injury, research studies should aim to identify players’ intrinsic risk factors, extrinsic risk factors and triggering events, and, from that point of departure, try to correct or compensate for modifiable factors [17,18,19]. Screening for these modifiable risk factors can help define high-risk populations, since the more risk factors a player has, the more likely he or she is to be injured [11].
The most common situations in which ankle and knee injuries occur in basketball are in defending actions, rebounding capture (18–29%) and losing balls (24%) [7,8]. These actions involve jumping and landing, whether to take a stride or to run or catch the ball [20]. From a biomechanical perspective, landings require optimal technical performance to ensure efficient absorption of the impact forces generated by foot–floor contact and thus minimize the risk of injury. Landing has been associated with ankle sprains, patellar tendon injuries and anterior cruciate ligament ruptures [20].
In order to perform these actions with the least possible risk, players must develop specific motor skills: shooting, rebounding, passing and dribbling, blocking, stealing and, again, rebounding [21,22,23,24]. However, it should be noted that younger basketball players may have more difficulties in performing movements specific to basketball, since they are in the process of developing basic motor skills [25,26] related to coordination and balance, which are fundamental in the ability to develop more complex motor learning for the different technical-tactical demands of basketball [23,24].
In addition, it should be considered that joints, muscles and tendons do not always grow synchronously [19]. This consideration, combined with poorly coordinated growth, may give rise to the adoption of poor movement patterns in sports where jumping is the primary action. Such patterns can lead to imbalances in mobility and stability, which have been identified as risk factors for injury [18,19].
Most of the current published literature about ankle and knee injuries focuses on the circumstances surrounding the injury. However, evidence regarding the risk factors associated with them is limited [22]. Most of the literature on sports injuries among children and adolescents is based on descriptive data on the magnitude of the injury. These studies generally focus on individual sports and include studies of adults [6].
A global and comprehensive review of injury risk factors in child and adolescent sport is needed to provide guidance for future research on injury prevention in this population [13].
Consequently, the main aim of this study is to evaluate and identify neuromuscular deficits among federated youth basketball players (under 12 to under 17) in mobility, stability and landing technique in similar static and dynamic tests that simulate the most common actions required in basketball.

2. Materials and Methods

2.1. Study Design

This cross-sectional study was conducted from October 2018 to May 2019. The study adhered to the tenets of the Declaration of Helsinki and received ethical approval from the local institutional review board (Pere Virgili Institute; Ref. CEICm: 123/2018). The study protocol was registered with ClinicalTrials.gov ID: NCT04796753.
Informed consent for participation in the study was obtained from the children and their parents or guardians.

2.2. Participants

The participants were basketball players who belonged to youth basketball developmental teams in the under 12 (U12), under 14 (U14), under 16 (U16) and under 17 (U17) categories. All participants were recruited by means of simple random sampling from the Catalan Basketball Federation during the 2018–2019 season. The participants were classified according to gender and age as stipulated by the rules determined annually for the respective official competitions. The study was carried out in the facilities of each club. The inclusion criteria were being age ≥12 and <18 at testing and actively competing during the study. Subjects were excluded if they had sustained any type of injury in the lower limbs before screening; presented any injury (overuse or acute) at the time of testing; if they had any oncological, psychological and/or psychiatric illnesses; or if they did not attend on the day of the assessment. The final sample size was a convenience sample, determined by the number of players who agreed to participate voluntarily.

2.3. Outcomes

Primary outcome measures: ankle joint dorsiflexion was evaluated with the weight-bearing lunge test through the LegMotion system [27,28]; monopodial ankle stability was analyzed using the single-leg balance test [29]; dynamic lower extremity valgus was analyzed with the single-leg squat test [30,31,32,33]; lumbopelvic stability and dynamic postural control were assessed by means of the single-leg squat test, hurdle step test and modified tuck jump test [34,35]; and neuromuscular deficits during continuous tuck jumps, landing technique flaws and plyometric technique were evaluated with the modified tuck jump test [36,37]. All of these tests were validated for these purposes. All players were familiarized beforehand with the procedures of all tests. Testing was performed on the same day, in the same order and at the same time of day (6.00 to 8.00 p.m.).
Secondary outcome measures: age, age categories, gender, weight, height, wingspan and body mass index were recorded. The presence of hypermobility was evaluated by Beighton’s criteria (scores of ≥7 points out of a total of 9 points were considered hypermobile) [38], and the presence of lower limb dominance was observed with the criteria described by Harris on foot dominance [39].

2.4. Procedure

All participants completed the same 10 min neuromuscular warm-up consisting of the following exercises: joint mobility exercises, dynamic stretching exercises, jumps, multidirectional displacements and changes of direction. Afterward, subjects were allowed three practice trials for each test in this order: the single-leg balance test, the weight-bearing lunge test, the hurdle step test, the single-leg squat test and the modified tuck jump test. Consistent feedback was provided throughout to ensure proper technique. The performance of each test was recorded using two cameras (IPhone XS, Apple, Cupertino, CA, USA). In order to allow visible tracking of the different joints, participants were required to wear shorts with the hem at approximately mid-thigh. When scoring performance, each test was viewed in sagittal and frontal views. The raters watched the videos as many times as necessary to score each test. For a more specific analysis, drawing tools were used to take measurements included in the application Hudl Technique version 6.0.0 (Agile Sports Technologies, Inc., Lincoln, NE, USA). Researcher 1 was in charge of scoring the following tests: the hurdle step test, the single-leg squat test and the modified tuck jump test. Researcher 2 was assigned the single-leg balance test and the weight-bearing dorsiflexion test. Researcher 3 was responsible for recording the secondary variables. All raters had over five years of clinical experience and previous training and experience with scoring from video replay.

2.5. Data Sources/Measurement

The valuation procedures used to obtain the value of each of the variables are explained below:
Single-leg balance test: A stopwatch was used to evaluate whether the player was able to maintain the monopodal position with eyes closed for 10 s or whether the player lost balance during that time. It was considered stable if the foot remained in neutral position during the movement and unstable if excessive pronation of the foot during the movement or external rotation of the leg was evident [29].
Weight-bearing lunge test: Ankle dorsiflexion was evaluated through the LegMotion system (LegMotion, your MOtion®, Albacete, Spain). Subjects were instructed to try to bring the knee to touch the metal rod (initially placed at a distance of 10 cm) without lifting the heel off the ground. The distance achieved was recorded in centimeters [27,28].
Hurdle step test: It consists of overcoming an obstacle located below the knee by means of triple flexion of the limb to be assessed. For this purpose, the Leg Motion® system (LegMotion, your MOtion®, Albacete, Spain) was used, and the rope was adjusted to the height of the anterior tuberosities of the participant’s tibiae. Lumbopelvic stability was considered if there was minimal movement in all three planes, the pelvic girdle was aligned, and there was no evidence of excessive anteroposterior tilt and/or trunk rotation. It was considered unstable if these criteria were not met [34,35].
Single-leg squat test: It consists of performing a monopodal squat to test dynamic knee valgus and dynamic postural control. They were to perform a single-leg squat to 30º knee flexion. The knee was considered to be aligned if the patella was over the second toe. On the other hand, it was considered dynamic postural control if there was minimal translation of the center of mass, i.e., no lateral flexion/tilt, rotation or trunk flexion/extension [30,31,32,33].
Modified tuck jump test: This test consists of performing continuous jumps of maximum height with the knees to the chest inside a rectangle of 41 × 35 cm during 10 s. The results were analyzed qualitatively according to the ten criteria described by Fort-Vanmeerhaeghe [36,37].

2.6. Bias

To minimize observation bias, the researcher in charge of analyzing the results did not know the hypothesis of the study and used measuring instruments with previously established evaluation criteria.

2.7. Statistical Analyses

Statistical analyses were performed using SPSS version 26.0 (Statistical Package for the Social Sciences for Windows; IBM Corp, Armonk, NY, USA). The normality of each variable was confirmed by means of the Shapiro–Wilk test. Normally distributed data for continuous variables were summarized with means and standard deviations (SD). Qualitative variables were described as absolute frequencies and percentages. To compare neuromuscular deficits between genders, the chi square test and independent-sample Student’s t-test were used. Meanwhile, a one-way ANOVA test was used to examine mean differences among different categories. For all tests, p-values were two sided. A p-value less than 0.05 was considered significant.

3. Results

3.1. Description of Sample

A total of 185 players were excluded from the study because of past injury prior to screening and 18 did not attend on the day of the assessment (Figure 1). In the end, 575 youth basketball players who met the eligibility criteria and volunteered to participate were included in the study. The mean (SD) age is 13.15 (2.15), and 51% of the participants are female.
The descriptive characteristics for anthropometric data are reported in Table 1. All data were found to be normally distributed. As would be expected based on maturity, U17 players were taller, heavier and had a larger wingspan compared to the other players. In all categories, 10% of the players presented generalized hyperlaxity, and most of them were right handed.

3.2. Ankle Joint Dorsiflexion

The mean for ankle joint dorsiflexion (SD) was 10.50 (2.45) cm, with no statistically significant differences between genders or between dominant leg/non-dominant leg. However, there were statistically significant differences between age categories (p < 0.001). The U12 category exhibited more limited mobility than the higher age categories (see Table 2).

3.3. Functional Ankle Stability

The analysis of ankle stability showed that 94.90% of the players were unable to remain stable during monopodial loading, with no statistically significant differences between categories (p = 0.877). U16 players exhibited the highest levels of ankle stability, especially girls in the non-dominant extremity. None of these differences were found to be statistically significant between genders (Table 3).

3.4. Dynamic Lower Extremity Valgus

Eighty-six percent of the players presented a dynamic lower extremity valgus (Table 4) with statistically significant differences between categories (p = 0.004). U12 had the highest percentage of dynamic valgus and U16 the lowest. The other two categories yielded similar values, with U17 boys showing statistically significant differences also between the dominant and non-dominant limb (p = 0.044). No statistically significant differences were found between the genders (p = 0.101).

3.5. Lumbopelvic Stability and Dynamic Postural Control

Six percent of participants were able to perform a single-leg squat while maintaining a stable pelvis, with no difference between the genders (p = 0.388), except in the U12 category (Table 5). The analysis by categories showed statistically significant differences between them (p < 0.001) with stability percentages below 5% in the U12, U14 and U17 categories. In the U16 male category, in contrast, 19% of players were able to maintain their pelvis stable when performing a single-leg squat.
Likewise, males had greater control (9%) than females (5%), although gender was found to be statistically significant (p = 0.047). The difference was only statistically significant in the U17 category (see Table 5). Analyzing the results by category revealed statistically significant differences in males (p < 0.001) with an age-related progression from 2% in U12 to 15% in U17. However, this increase in dynamic postural control was not observed in the female categories (p = 0.360).

3.6. Neuromuscular Deficits during Continuous Tuck Jumps

The values for items assessing jumping/landing technique showed that approximately 4% of the players did not present valgus in the lower extremity during landing. In addition, 8% were able to maintain the knees higher or at the same level as the hips in the peak of the jump, and 3% were able to maintain the thighs equal side to side during flight. No statistically significant differences were found based on gender (see Table 6).
Analyzing the position of the foot during landing, 6% of players were observed to have foot placement exactly shoulder width apart. Statistically significant differences were found between genders only in the U17 category. Similarly, 4% of the subjects exhibited parallel foot placement (at the toes), 7% exhibited equal side-to-side foot contact timing, and 8% exhibited subtle noise at landing (landing on the balls of their feet) (Table 6).
A total of 9% of the subjects were able to perform reactive and reflex jumps, 4% showed no decline in technique, and 5% landed in the same footprint, with no statistically significant differences found based on gender or category in any of the items assessed (Table 6).

4. Discussion

Federated youth basketball players (U12 to U17) presented high percentages of neuromuscular deficits in mobility, stability and jumping/landing technique. These findings indicate that there are many and diverse inadequate movement patterns and neuromuscular deficiencies in the simulation of all the most used actions in basketball in all age categories, without great variation between genders, categories or dominant and non-dominant limbs. Several authors have related these deficiencies to the most common athletic musculoskeletal injuries [10,40,41].
The values for dorsal ankle flexion under load were similar to those described for the adult population, with the U12 category presenting lower values. These values coincide with the results described by Gonzalo-Skok et al. [42] in a similar study, especially among U14 basketball players. Although mobility exercise that focuses on increasing ankle joint dorsiflexion is currently one of the most prevalent exercises in injury prevention programs, consideration should be given to whether this population needs to increase this range of motion and whether this can be considered a risk factor for injury in uninjured youth basketball players.
For ankle stability, 95% of players were unable to maintain monopodial stability with no differences related to gender or category. No differences were found between the dominant and non-dominant limb, which was consistent with other studies [43]. Halabchi et al. [44] state that elite basketball and football players (age 15 to 40 years) who have sustained an ankle sprain present a deficit in ankle stability and impaired single-leg balance test. This relationship should be revised based on the results of the present study conducted with players who had never had an ankle injury and whose instability rates were higher than those found by those authors. Consideration should be given to whether these deficits are a cause or a consequence of injury, an aspect to be taken into account during training, and, above all, in the physical conditioning of these players.
Eighty-six percent of the players presented a dynamic lower extremity valgus, with the U12, U14 and U17 categories presenting the highest percentages. Boys under 16 were the best performers. However, this should be investigated to determine why these results worsen in boys under 17; it may be due to the hours dedicated to physical conditioning or the exercises they perform in these sessions. These results are consistent with those obtained by Agresta et al. [13], who found that younger children had poorer performance, suggesting that balance may still be developing. However, although limb dominance has been indicated as having an influence on uneven lower limb strength [45], no differences were observed in the present study between the dominant and non-dominant limb, except in boys under 17. Furthermore, males presented a higher percentage of knee valgus than females, although the difference was not statistically significant.
About 94% of the players presented lumbopelvic instability, a percentage that decreased to 81% in boys under 16. Weakness of the hip abductors predisposes players to increased adduction and internal rotation of the hip, which in turn leads to increased medial motion and knee valgus [46]. This factor could be related to the improvement of dynamic knee valgus. This is more pronounced when the player performs a single-leg squat and on landing after a jump. This has been shown to have implications for anterior cruciate ligament injury [19,47].
In terms of lack of dynamic postural control, 94% of the players were unable to maintain a stable trunk while performing a single-leg squat. The progression in the improvement of control from the U12 to U17 categories is noteworthy, with better overall dynamic postural control exhibited by males. In the U17 male category, the percentage dropped to 82.20%, with a statistically significant difference between the U17 female and U17 male categories. These results show deficient dynamic postural control, which is relevant in relation to anterior cruciate ligament injuries, since current evidence shows that a stable trunk decreases the stress on this ligament in a single-leg squat by 24% [48,49]. Dynamic postural control and neuromuscular disturbances are also considered intrinsic risk factors for ankle sprain [50] and anterior cruciate ligament injury [49], especially poor strength and related instability of the lumbopelvic region [48,51].
The jumping analysis showed that more than 90% of players were unable to perform a jump with the optimal technique to ensure efficient absorption of the impact forces of foot–floor contact. This is relevant in a sport such as basketball, in which jumping technique plays an important role in improving vertical jump height, which influences shooting, rebounding and shot-blocking skills. In fact, the results of the present study are in agreement with those of Cowling and Steele [52], who found better patterns of muscle synchrony in men than in women. The results presented, in accordance with the criteria described by Fort-Vanmeerhaeghe et al. [36], do not specify whether the landing is rigid or if there is an excess of range of motion. This is an item that could be added to better assess the lateral evaluation view of the modified tuck jump assessment, since if a player has a limited range of motion during shock absorption on landing after a jump, especially in the ankle, knee and hip joints, it could lead to bone injury. However, an excessive range of motion in the joints could cause musculoskeletal injuries [53]. Therefore, it is also important to analyze whether players actively flex the ankles, knees and hips during the impact absorption phase of foot–floor contact to dampen reaction forces, as several studies have confirmed that active triple flexion of the lower limbs is the key factor for impact force attenuation and energy absorption, thus decreasing the risk of ligament injury on landing [20,54,55]. It may be due to the specificity of training and the effect of the specific load of basketball, which will consequently create deficits and may jeopardize the health and physical integrity of athletes.
The results of the present study reveal that most of the participants employ an inappropriate landing technique, which, in conjunction with the musculoskeletal imbalances identified, may predispose them to injury [8,56]. However, the limitations of the modified tuck jump assessment prevent us from inferring which types of injuries the players analyzed are more predisposed to.
While the mobility values identified may be considered normal, very high percentages of players presented alterations in stability and jumping/landing technique. The scarcity of epidemiological studies with similar analyses of youth basketball players (U12 to U18) prevents us from comparing our results with those of other publications.
The values found in this study may offer a basis for establishing reference values, since there are currently no reference values in the pediatric and juvenile population, despite this group having been described as the most vulnerable to injury [12].
Functional deficiencies are easy to assess with accessible, cost-effective and easy-to-perform tests in clinical practice, which could be incorporated into a test battery to decrease the susceptibility of basketball players to injury. Identifying the risk of injury among athletes and implementing appropriate protocols can help coaches, basketball athletic trainers and health specialists to reduce the incidence of injury and improve training methods. These factors have often been studied separately when the risk of injury is multifactorial. In youth basketball players, ankle and knee injuries are commonplace and can result in exclusion from competition, often for long periods of time [26].
Some limitations can be found in this study. Injuries are multifactorial, and despite having identified alterations in movement patterns as possible modifiable injury risk factors, emotional and psychosocial factors, which are also related to increased incidence of injuries in this sport, have yet to be analyzed. Currently, there are no reference values among children for loaded ankle dorsiflexion and other variables. Further studies are needed to establish such benchmarks. Likewise, although neuromuscular deficits can be measured, objectively quantified and compared with a standard pattern, or with some validated or calculated reference values, specific qualitative scoring criteria should be established to detect alterations in movement patterns. The findings in this study are exploratory and results should be considered cautiously as a type I error may have been incurred.
In the future, it should also be noted that fatigue (physiological, neurological and psychological) affects physical performance, changes the efficiency of contractile capacity in extrafusal muscle fibers and challenges the efficiency of afferent information from muscle strands, which ultimately alters neuromuscular control and negatively affects dynamic postural control. In addition, it would be interesting to analyze whether an exercise program designed to correct alterations in movement patterns decreases modifiable risk factors and player susceptibility, and, in the long term, reduces the incidence of injuries in youth basketball players.

5. Conclusions

In summary, the most frequent neuromuscular deficits in federated youth basketball players are related to instability, the most frequent being ankle instability, followed by lumbo-pelvic instability, dynamic postural instability and dynamic knee valgus. Deficits in jumping/landing technique are also very frequent in all the items analyzed (jumping, landing and plyometrics). The performed tests, which mostly showed a poor performance by the sample, can be indicative of injury probability. Identifying and correcting these intrinsic functional deficits can be the key for implementing exercise programs in order to reduce the incidence of injury.

Author Contributions

Conceptualization, C.A., M.G., S.T. and I.S.; Methodology, C.A. and I.S.; Software, C.A.; Validation, C.A. and I.S.; Formal Analysis, C.A. and I.S.; Investigation, C.A., M.G. and S.T.; Resources, C.A., M.G. and S.T.; Data Curation, C.A. and M.G.; Writing—Original Draft Preparation, C.A. and I.S.; Writing—Review and Editing, C.A., M.G. and I.S.; Visualization, C.A.; Supervision, C.A. and I.S.; Project Administration, C.A.; Funding Acquisition, not applicable. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of PERE VIRGILI INSTITUTE (CEICm: 123/2018; date of approval, 27 September 2018).

Informed Consent Statement

Written informed consent was obtained from the participants to publish this paper.

Data Availability Statement

The study did not report any data.

Acknowledgments

The authors would like to acknowledge the support of Victor Ciavattini, Miriam Palacios, Javier Espasa, Jordi Padrós, Jan Segura and Marc Batlle, and all the Catalan Basketball Federation clubs that agreed to participate.

Conflicts of Interest

The authors declare no conflict of interest.

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Ijerph 19 04077 g001 550
Figure 1. Flow diagram.
Figure 1. Flow diagram.
Ijerph 19 04077 g001
Table
Table 1. Anthropometric data for between-group comparisons of U12 to U17 basketball players.
Table 1. Anthropometric data for between-group comparisons of U12 to U17 basketball players.
OutcomesU12 (n = 209)U14 (n = 153)U16 (n = 110)U17 (n = 103)
Gender a, female116 (56.00%)82 (54.00%)48 (44.00%)48 (47.00%)
Weight b, kg44.04 (8.08)53.71 (10.76)63.76 (13.50)67.27 (12.89)
Height b, cm154.70 (7.45)163.89 (8.92)173.30 (14.59)176.94 (11.75)
Wingspan b, cm 152.97 (11.26)164.07 (14.45)174.48 (11.27)178.77 (13.98)
BMI b, kg/m218.31 (2.48)19.89 (3.00)21.11 (3.56)21.42 (3.06)
Hypermobility a10 (5.00%)14 (9.00%)14 (13.00%)12 (12.00%)
Right handed a182 (87.00%)139 (91.00%)101 (92.00%)73 (89.00%)
Abbreviations: BMI, body mass index; m, meter; kg, kilogram, cm, centimeter. Data are reported as a n (%) or b as mean (standard deviation) % (percentage).
Table
Table 2. Assessment of ankle joint dorsiflexion for between-group comparisons of U12 to U17 basketball players.
Table 2. Assessment of ankle joint dorsiflexion for between-group comparisons of U12 to U17 basketball players.
GenderAge CategoriesDominant LegNon-Dominant Legp Value
Mean (SD)SEIntervalMean (SD)SEInterval
FemaleU12 (n = 116)10.54 (2.42)0.25[4.00, 19.50]10.26 (2.55)0.23[2.00, 16.00]0.371
U14 (n = 82)11.05 (2.49)0.32[6.00, 17.00]11.36 (2.68)0.34[6.00, 17.00]0.500
U16 (n = 48)11.32 (1.61)0.26[7.50, 14.50]11.01 (1.65)0.27[6.50, 15.00]0.859
U17 (n = 48)11.03 (2.05)0.34[8.00, 16.50]11.23 (2.07)0.34[8.00, 16.00]0.674
MaleU12 (n = 93)9.29 (2.26)0.25[4.00, 17.00]9.57 (2.08)0.23[4.50, 17.00]0.399
U14 (n = 71)10.52 (2.61)0.37[4.50, 16.00]10.60 (2.45)0.34[5.00, 17.00]0.876
U16 (n = 62)11.27 (2.95)0.37[3.00, 19.00]11.46 (2.89)0.36[2.50, 19.00]0.877
U17 (n = 55)10.21 (1.85)0.28[6.50, 15.50]10.07 (2.13)0.32[5.00, 15.50]0.732
Abbreviations: SD, standard deviation; SE, standard error. Values are centimeters of ankle joint dorsiflexion. p values were obtained by independent-sample Student’s t-test.
Table
Table 3. Ankle instability for between-group comparisons of U12 to U17 basketball players.
Table 3. Ankle instability for between-group comparisons of U12 to U17 basketball players.
GenderAge CategoriesDominant LegNon-Dominant Legp Value
FemaleU12 (n = 116)111 (96.10%)113 (97.80%)0.472
U14 (n = 82)79 (96.00%)77 (93.70%)0.315
U16 (n = 48)45 (94.70%)43 (89.50%)0.395
U17 (n = 48)48 (100%)47 (97.30%)0.314
MaleU12 (n = 93)89 (95.70%)86 (93.00%)0.349
U14 (n = 71)70 (98.40%)71 (100%)0.539
U16 (n = 62)61 (98.40%)60 (96.90%)0.512
U17 (n = 55)51 (93.30%)86 (93.00%)1.000
Data are reported as n (%). p values were obtained by chi square test.
Table
Table 4. Dynamic lower extremity valgus for between-group comparisons of U12 to U17 basketball players.
Table 4. Dynamic lower extremity valgus for between-group comparisons of U12 to U17 basketball players.
GenderAge CategoriesDominant LegNon-Dominant Legp Value
FemaleU12 (n = 116)105 (82.70%)113 (89.00%)0.150
U14 (n = 82)49 (79.00%)53 (85.50%)0.347
U16 (n = 48)40 (84.20%)40 (84.20%)1.000
U17 (n = 48)39 (81.10%)40 (83.80%)0.760
MaleU12 (n = 93)79 (95.20%)80 (96.40%)0.699
U14 (n = 71)47 (92.20%)44 (86.30%)0.338
U16 (n = 62)47 (76.60%)47 (75.00%)0.798
U17 (n = 55)45 (82.20%)53 (95.60%)0.044 *
Data are reported as n (%). p values were obtained by chi square test. * statistically significant (p < 0.05).
Table
Table 5. Lumbopelvic and postural instability for between-group comparisons of U12 to U17 basketball players.
Table 5. Lumbopelvic and postural instability for between-group comparisons of U12 to U17 basketball players.
OutcomeAge CategoriesFemale (n = 294)Male (n = 281)p Value
Lumbopelvic instabilityU12 (n = 209)110 (94.50%)93 (100%)<0.001 **
U14 (n = 153)81 (98.40%)67(94.10%)0.728
U16 (n = 110)47 (97.40%)50 (81.30%)0.007 *
U17 (n = 103)48 (100%)54 (97.80%)0.197
Dynamic postural control deficienciesU12 (n = 209)111 (96.10%)93 (100%)0.067
U14 (n = 153)79 (96.80%)65 (92.20%)0.276
U16 (n = 110)43 (89.50%)53 (85.90%)0.605
U17 (n = 103)45 (94.60%)43 (77.80%)0.032 *
Data are reported as n (%). p values were obtained by chi square test. * statistically significant (p < 0.05); ** statistically significant (p < 0.001).
Table
Table 6. Modified tuck jump assessment for between-group comparisons of U12 to U17 basketball players.
Table 6. Modified tuck jump assessment for between-group comparisons of U12 to U17 basketball players.
ItemAge CategoriesFemale (n = 294)Male (n = 281)p Value
Lower extremity valgus at landingU12 (n = 209)111 (96.10%)91 (97.60%)0.547
U14 (n = 153)77 (93.50%)65 (92.20%)0.774
U16 (n = 110)44 (92.10%)51 (82.80%)0.187
U17 (n = 103)44 (91.90%)45 (82.20%)0.201
Thighs do not reach parallel (peak of jump)U12 (n = 209)94 (81.10%)75 (80.70%)0.945
U14 (n = 153)71 (87.10%)64 (90.20%)0.607
U16 (n = 110)47 (97.40%)47 (76.60%)0.005 *
U17 (n = 103)39 (81.10%)45 (82.20%)0.897
Thighs not equal side to side during flightU12 (n = 209)111 (96.10%)89 (95.20%)0.758
U14 (n = 153)77 (93.50%)70 (98.00%)0.248
U16 (n = 110)43 (89.50%)57 (92.20%)0.640
U17 (n = 103)40 (83.80%)50 (91.10%)0.313
Foot placement not shoulder width apartU12 (n = 209)102 (88.20%)87 (94.00%)0.163
U14 (n = 153)75 (91.90%)67 (94.10%)0.653
U16 (n = 110)43 (89.50%)47 (75.00%)0.075
U17 (n = 103)45 (94.60%)43 (77.80%)0.032 *
Foot placement not parallel (front to back)U12 (n = 209)108 (92.90%)87 (94.00%)0.763
U14 (n = 153)77 (93.50%)67 (94.10%)0.901
U16 (n = 110)44 (92.10%)52 (84.40%)0.258
U17 (n = 103)44 (91.90%)55 (100%)0.052
Foot contact timing not equal (asymmetrical landing)U12 (n = 209)102 (88.20%)84 (90.40%)0.622
U14 (n = 153)75 (91.90%)59 (82.40%)0.124
U16 (n = 110)38 (78.90%)50 (81.20%)0.777
U17 (n = 103)39 (81.10%)48 (86.70%)0.491
Excessive landing contact noiseU12 (n = 209)95 (81.90%)82 (88.00%)0.238
U14 (n = 153)73 (88.70%)57 (80.40%)0.218
U16 (n = 110)44 (92.10%)50 (81.20%)0.134
U17 (n = 103)39 (81.10%)43 (77.80%)0.713
Pause between jumpsU12 (n = 209)98 (84.30%)82 (88.00%)0.454
U14 (n = 153)66 (80.60%)61 (86.30%)0.426
U16 (n = 110)38 (78.90%)49 (79.70%)0.929
U17 (n = 103)39 (81.10%)39 (71.10%)0.295
Technique declines prior 10 sU12 (n = 209)106 (91.30%)86 (92.80%)0.710
U14 (n = 153)77 (93.50%)68 (96.10%)0.551
U16 (n = 110)44 (92.10%)57 (92.20%)0.988
U17 (n = 103)44 (91.90%)45 (82.20%)0.201
Does not land in same footprint (consistent point of landing)U12 (n = 209)107 (92.10%)86 (92.80%)0.863
U14 (n = 153)73 (88.70%)68 (96.10%)0.150
U16 (n = 110)44 (92.10%)58 (93.70%)0.751
U17 (n = 103)40 (83.80%)45 (82.20%)0.852
Data are reported as n (%). p values were obtained by chi square test. * statistically significant (p < 0.05).
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Adillón, C.; Gallegos, M.; Treviño, S.; Salvat, I. Detection of Neuromuscular Deficits in Movement Pattern among Uninjured Federated Youth Basketball Players: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2022, 19, 4077. https://doi.org/10.3390/ijerph19074077

AMA Style

Adillón C, Gallegos M, Treviño S, Salvat I. Detection of Neuromuscular Deficits in Movement Pattern among Uninjured Federated Youth Basketball Players: A Cross-Sectional Study. International Journal of Environmental Research and Public Health. 2022; 19(7):4077. https://doi.org/10.3390/ijerph19074077

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Adillón, Cristina, Montse Gallegos, Silvia Treviño, and Isabel Salvat. 2022. "Detection of Neuromuscular Deficits in Movement Pattern among Uninjured Federated Youth Basketball Players: A Cross-Sectional Study" International Journal of Environmental Research and Public Health 19, no. 7: 4077. https://doi.org/10.3390/ijerph19074077

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