Next Article in Journal
Reliability and Convergent Validity of Endurance Indices Derived from Near-Infrared Spectroscopy and Electromyography during a Bilateral Hanging Task in Amateur Rock Climbers
Next Article in Special Issue
Changes in Cardiopulmonary Capacity Parameters after Surgery: A Pilot Study Exploring the Link between Heart Function and Knee Surgery
Previous Article in Journal
Potential Effects of Lifelong Team Handball and Football Training and Nutritional Habits on Bone Health and Body Composition in Elderly Women
Previous Article in Special Issue
Increased Salivary BDNF and Improved Fundamental Motor Skills in Children Following a 3-Month Integrated Neuromuscular Training in Primary School
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Influence of Ankle Mobility and Foot Stability on Jumping Ability and Landing Mechanics: A Cross-Sectional Study

1
Sport and Exercise Sciences Research Unit, Department of Psychology, Educational Science and Human Movement, University of Palermo, Via Giovanni Pascoli 6, 90144 Palermo, Italy
2
Department of Biomolecular Sciences, Division of Exercise and Health Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy
3
Faculty of Sport and Physical Education, University of Novi Sad, 21000 Novi Sad, Serbia
4
Department of Human Sciences and Promotion of the Quality of Life, San Raffaele University, 20132 Rome, Italy
5
Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37129 Verona, Italy
6
Regional Sports School of CONI Sicilia, 90141 Palermo, Italy
*
Author to whom correspondence should be addressed.
J. Funct. Morphol. Kinesiol. 2024, 9(3), 160; https://doi.org/10.3390/jfmk9030160
Submission received: 19 July 2024 / Revised: 5 September 2024 / Accepted: 6 September 2024 / Published: 8 September 2024
(This article belongs to the Special Issue Health and Performance through Sports at All Ages 3.0)

Abstract

:
Practicing physical activities or sports that involve frequent jumping and landing can strain the muscles and joints of the lower limbs, especially in those who do not have adequate physical preparation. The objective of this study was to (a) determine the correlation between ankle range of motion (ROM) and landing stability following jumps; (b) assess the association between the jump height in a counter-movement jump (CMJ) test and ankle ROM; and (c) examine the connection between stabilometry during specific jumps movements present in many sports and in ankle stabilization. Sixty-two healthy amateur volleyball players participated in the study (age: thirty-seven females and twenty-five males; age (years): 16.5 ± 4.25; height (cm): 166 ± 11.4; weight (Kg): 61.6 ± 13.7). Participants were recruited for the study in collaboration with student sports associations. The evaluations encompassed the measurement of ankle joint mobility for both lower limbs using an inertial sensor, a static baropodometric and stabilometric analysis using a pressure platform, and the CMJ test using the Microgate system. After the assessments, participants performed a “specific jump landing task”. Significant correlations were found between foot range of motion (ROM) and counter-movement jump (CMJ) performance. Specifically, the ROM of the right foot had a strong correlation with the CMJ (r = 0.81, p < 0.001), while the left foot ROM showed a moderate correlation (r = 0.46, p < 0.001). The specific jump task revealed substantial changes in stabilometry parameters, particularly during forward hops compared to lateral jumps. Dorsiflexion ROM significantly impacts jumping ability. Evaluating landing patterns and stabilometry during targeted activities can help optimize training, improve dynamic balance, and reduce ankle injury risk.

1. Introduction

In many sports and sports activities, repeated jumps and landings place significant stress on the lower limb muscles and joints, increasing the risk of musculoskeletal injuries [1]. In a study, Bahr et al. reported that in 78% of the cases, team players had a history of at least one prior ankle injury [2,3]. In a population of volleyball players, the authors showed that ankle injuries primarily happened during the act of landing after blocking, whereas most other injuries were linked to take-off, landing, or the spiking motion during an attack [3]. However, noteworthy relationships are also present in other sports gestures. Akbari H, et al. (2023) investigated the relationship between the ROM of ankle landing positions during a soccer-specific task [4]. The results showed that a reduced ROM of ankle dorsiflexion was associated with greater landing errors in a soccer-specific situation. For this reason, it could be possible to state that the assessment of ankle mobility is an important process to prevent faulty movements and potentially related injuries [4]. Similar athletic gestures are observed in other sports as well. Ungureanu AN, Beratto L. et al. demonstrated that rugby players also exhibit comparable kinematics. Their study revealed performance improvements, particularly in jumping, sprinting, and high-intensity running [5].
These risks are heightened in amateur sports and student leagues, where participants are at a greater risk of sustaining non-contact injuries [6]. Asperti AM et al. demonstrated that injury rates are significantly higher in amateur sports, particularly those focused on fitness improvement or student activities [6]. This can lead to prolonged interruptions or even withdrawal from physical activity. Adolescent sports injuries present a significant issue that can lead to withdrawal from physical activity. Further research is needed to better understand the impact of risk factors and improve prevention efforts [7].
The literature suggests the need for preventive strategies and training programs, but further research into the etiology of injuries is essential to develop effective measures. Injuries to the ankle and knee joints, particularly those to the anterior cruciate ligament (ACL), have been linked to ankle joint kinematics, such as dorsiflexion angles during landings [8,9,10].
In 2021, Cejudo A. presented evidence indicating potential disparities in range of motion (ROM) between genders. This study provides gender-specific scores for lower extremity flexibility profiles in basketball players. This study suggests that athletic trainers and conditioning coaches identify players who may be at high risk of injury due to abnormal ROM scores [11]. The study of Boden et al. (2009) evaluated the foot position and hip, knee, and ankle joint angles of athletes at the time of an ACL injury and compared these values with a control group of athletes who experienced no injuries [8]. The results of this study showed that athletes of the control group first contacted the ground with the forefoot while athletes of the experimental group had first ground contact with the hindfoot or entirely flatfooted.
Another study by Malloy et al. (2016) analyzed the association between ankle dorsiflexion flexibility and landing kinematics in female soccer players during a drop vertical jump [12]. The results showed that females with less ankle dorsiflexion flexibility exhibited greater peak knee abduction moments and angles as well as less peak knee flexion angles during landing, suggesting that ankle dorsiflexion may influence landing posture kinematics and kinetics, making its evaluation important for injury prevention [12]. A limitation of this study declared by the authors is that the ankle dorsiflexion was evaluated with the knee in the full extended position, and in this way, it was not possible to measure the soleus muscle, which can influence the dorsiflexion flexibility [12]. Another limitation of this study is the height of the box that was normalized and not weighted to the height of the subject. We hypothesize that the landing height concerning the anthropometric measurements of the tested subject are variable and should not be overlooked and indefinitely personalizing the evaluation task as much as possible is necessary. Other studies have also noted limitations such as not simulating sport-specific tasks or standardizing drop jump box heights [13,14]. The lateral cutting movements are very frequent in team sports like volleyball [15]. Over time, these pressures might result in persistent ankle instability caused by harm to the lateral ankle ligaments [16]. However, there are limited studies on stability strategies during unilateral jump-landing tasks [17].
Another interesting study showed that increasing the ROM of the ankle, particularly dorsiflexion, in addition to preventing injuries, showed an increase in performance on the single-leg vertical jump height of fifty-two recreational athletes of both genders [18]. Rabin, A. et al. also confirmed this relationship in their study, highlighting the importance of evaluating ankle dorsiflexion [19].
The objective of this study was to examine the connection between ankle range of motion (ROM) and landing stability following jumps, evaluate the correlation between ankle ROM and jump height in the counter-movement jump (CMJ) test, and analyze stabilometry during specific jumping movements and landing by introducing a customizable task tailored to the subject’s characteristics.

2. Materials and Methods

2.1. Study Design

This is a cross-sectional study. Given the study’s purpose, a cross-sectional design was deemed more appropriate, as it is useful for assessing the prevalence of conditions, behaviors, or outcomes and is well suited for evaluating associations between variables by analyzing multiple outcomes.

2.2. Subjects

This study recruited a total of seventy-two students who play volleyball at an amateur level. However, only sixty-two individuals (thirty-seven females and twenty-five males; age (years): 16.5 ± 4.25; height (cm): 166 ± 11.4; weight (Kg): 61.6 ± 13.7; dominant foot (n): right 55 subjects and left 7 subjects) fulfilled the inclusion requirements. The remaining 10 were excluded due to not having played or exercised regularly for at least six months (Table 1). An a priori sample size power analysis with an α error of 0.05 and an effect size of 0.5 revealed that sixty-two participants would be sufficient to reach a power of 99% [20]. The STROBE guidelines were used to ensure a high-quality presentation of the conducted observational study (Figure 1) [21]. Consistent with the recommendations of the literature and comparable research [10,22,23,24], we included in the study those who met the following inclusion criteria:
(a)
Participants had no leg injuries in the past six months.
(b)
All participants had been playing and exercising regularly for at least six months.
(c)
There were no post-surgical subjects.
Researchers collected demographics and sports injury history, and participants signed written informed consent forms. Parental consent was also obtained for minors (<18 years). The subjects were invited to the gymnasium, where they were briefed on the research and evaluations without disclosing the study’s objectives to avoid influencing performance. Anthropometric data were collected from the same research unit between September 2022 and December 2022. We also obtained written informed consent from parents of minors (<18 years). The study was carried out in compliance with the principles of the Declaration of Helsinki and approved by the Bioethics Committee of the University of Palermo (n. 94/2022-Prot. 70310; 4 July 2022).

2.3. Procedures

Prior to the evaluations, participants engaged in a standardized warm-up regimen consisting of gentle jogging and a combination of static and dynamic stretching exercises to prime the muscles and joints. The evaluations were carried out in the team gymnasium on a conventional wooden floor from 5:00 to 8:00 PM. All participants were required to have a minimum recovery interval of 72 h since their last game to ensure they were not fatigued. The initial evaluation focused on assessing ankle joint mobility by measuring both the range and quality of movement in each ankle. Participants then performed a counter-movement jump (CMJ). Following 30 min of rest, participants had stabilometric analysis, which was especially conducted during the jump-landing phase to evaluate their balance and postural control in dynamic situations. This analysis offered valuable perspectives on the post-landing stability management strategies.

2.3.1. The Measure of the Ankle Range of Motion

One small Bluetooth sensor was used to measure the joint mobility of the ankle (internal sampling up to 1000 Hz; Bluetooth 4.0 and 2.0—USB connection 2.0; weight: 28 gr; dimensions: 65 × 45 × 18 mm; resolution: accelerometer = ±2 G to ±16 G gyroscope = ±200°/s to ±2000°/s magnetometer = ±4000 μT). BEYOND Inertial used the Beyond framework software (Motustech SRL, Guidonia Montecelio, Roma, Italy). BEYOND Inertial was attached to the foot’s dorsum of each participant using ad hoc straps [25] to limit their oscillations relative to the underlying segment [26] (Figure 2). Once the accelerometer was set, the subject, who was in a sitting position with flexed knee, was asked to actively perform a maximum plantar flexion movement and a maximum back flexion movement. In line with similar studies, we recorded ankle ROM after a single evaluation, following familiarization sessions in previous days. This approach aimed to replicate the natural ankle adaptation during game phases, where multiple flexions typically do not occur before a jump [27].
Data acquired by the BEYOND Inertial were transmitted via Bluetooth to a laptop. The parameters considered for the statistical analysis were as follows:
-
Range of motion (ROM°): It represents the angular excursion carried out by the segment that rotates from its starting point to its arrival point.
-
Angular speed (°/s): It represents the average angular velocity over the entire range of motion.
-
Fluency Index: An index ranging from 0 to 1 indicates the movement’s quality. The closer it is to 1, the smoother the movement. The dorsiflexion, plantar flexion, eversion, and inversion of both feet of all the subjects analyzed were evaluated on these three parameters (Figure 2).

2.3.2. Counter-Movement Jump (CMJ)

The Microgate system (Bolzano, Italy) was used to manage this test. The system allows for the quantity of flight and contact times during the execution of a series of jumps, with a precision of 1/1000 of a second. It is an optical detection system constituted of a transmitting and a receiving bar starting from these fundamental basic data; the dedicated software allows for obtaining a series of parameters related to performance with maximum precision and in real time [28]. After fully explaining experimental procedures, subjects completed a warm-up consisting of running (5 min), stretching of lower extremity muscles, and submaximal vertical jumping for the familiarization (3 min) [29]. For the test, athletes began from the upright standing position with their hands on the hips; they flexed their knees (about 90°) as fast as possible and then leaped as high as possible in the next maximum extensory phase [29]. Subjects were to leave the floor with knees and ankles extended and land in an extended position. Three measurements were administered per subject, 2 min were allowed between jump repetitions, and the best performance was considered for the study analysis [30].

2.3.3. Specific Jump-Landing Task

The study published by Butler, R. J. et al. inspired the method for performing this test [31]. However, it was adapted to suit the specific requirements of subjects engaged in sporting activities. In this modified test, athletes jumped from the ground to a stabilometric platform positioned at a distance equal to half their height. An obstacle set at 70% of their previously recorded CMJ performance was placed between the take-off point and the platform. This adaptable modification was designed to individualize testing based on each athlete’s performance level, more closely replicating sporting situations. The subjects landed on the platform with only one leg seeking the best stabilization in the shortest possible time. Participants performed single-leg landings on the platform and were instructed to stabilize for 20 s post-landing, during which stabilometric data were recorded [32]. The tests included one-legged landings after forward jumps for both legs and lateral jumps (side-step cutting) for both legs. Participants were required to adhere to predefined conditions regarding platform distance and obstacle height for all jumps. A 120 s rest period was provided between trials, and each trial was repeated three times, with the best performance on single-leg landings selected for analysis. Throughout the tests, participants’ hands remained free. A trial was considered a failure if the athlete did not maintain balance for the required 20 s, jumped or moved the affected foot on the platform, dismounted with the opposite limb, or landed with the affected foot not fully on the platform [32]. The 20 s duration was chosen based on the study by Fransz, D. P. et al., which identified a stabilization period of 3–5 s following a single-leg jump. However, we adopted the maximum duration analyzed by the authors [33]. These tests were administered using the FreeMed system (FreeStep v.1.0.3 software, Sensor Medica, Guidonia Montecelio, Roma, Italy). The following parameters of the statokinesigram were considered: sway path length of the center of pressure (CoP) (mm); ellipse surface area (mm2); coordinates of the CoP along the frontal (X; right–left; x-mean) and sagittal (Y; forward–backward; y-mean) planes; and maximum oscillation and average speed of movement (mm/s) [34]. The platform’s sensors are 24 K gold, allowing for high reliability.

2.4. Statistical Analyses

All data were recorded in an Excel file. Statistical analysis was performed with Jamovi (2.3.21.0).
The distribution of quantitative data was assessed with the Shapiro–Wilk test (p > 0.05). For the objectives of the study, the Pearson correlation test (r) was used to analyze the relationship among the dorsiflexion, the plantarflexion, and the eversion and inversion of the right and left feet with the entire battery of tests used. The r values are distributed as follows: r = 0.10–0.29, small or low correlation; r = 0.30–0.49, medium or moderate correlation; r = 0.50–1.0, large or high or strong correlation [35]. The independent samples t-test was used to compare and evaluate performance differences between female and male subjects. Paired samples t-test was used to evaluate if there are differences between the performance of the left leg and the right leg and between the landing after a forward jump right vs. left on jump-landing task. A multiple linear regression was used with the vertical jump height as dependent variables and the right and left dorsiflexion ROM, the right and left plantarflexion ROM foot size, right and left sway path length, and average speed of movement of both feet as independent variables that could be predictors. Statistical significance was set a priori at p < 0.05.

3. Results

Table 1 presents the demographic description. Table 2, Table 3, Table 4 and Table 5 describe the correlation between the ankle valuation (right and left) and other parameters. A correlation was present between the right foot ROM° vs. vertical jump height (r = 0.81, p < 0.001) and the left foot ROM° vs. vertical jump height (r = 0.46, p < 0.001; Table 2). The analysis of dates showed interesting results, particularly with the foot’s dorsiflexion. Table 6 is a comparison of parameters between males and females using the independent samples t-test. Data analysis showed differences in jumping performance.
Furthermore, the multiple linear regression showed a significant regression with the dependent variable vertical jump height (cm) and the independent variables’ Right Dorsiflexion Range of Mov. °, foot size, right sway path length, right average speed of movement, and Right Plantarflexion Range of Mov.° (regression p-value < 0.001; adjusted R2 = 0.078; Table 7). A similar tendency was found on the left foot with a significant regression with the dependent variable vertical jump height (Cm) and the independent variable: foot size, left sway path length, left average speed of movement, and Left Plantarflexion Range of Mov. ° (regression p-value < 0.001; adjusted R2 = 0.33 (Table 8)). In addition, we analyzed the differences between the subjects who claimed to be with the right dominant foot (55 subjects) vs. left dominant foot (7 subjects), but no significant differences in dominant foot interaction were present. The specific task volley test showed significant differences between the left ellipse surface area after a forward jump vs. the left ellipse surface area after a lateral jump (884.86 ± 304.7 mm2 vs. 1056.91 ± 386.1 mm2; p < 0.001); between the left average speed of movement after a forward jump vs. the left average speed of movement after a lateral jump (44.82 ± 16 mm/s vs. 54.25 ± 20.9 mm/s; p < 0.001); and between the left y-mean after a forward jump vs. left y-mean after a lateral jump (12.13 ± 16.6 mm vs. 7.19 ± 16; p < 0.05). The test did not show significant differences on the right foot (Table 9).

4. Discussion

This study aimed to identify predictive indicators of future instability using a specific task-test jump. Correlations between ankle range of motion (ROM) and the specific jump-landing task (SJLT) yielded interesting findings. Dorsiflexion parameters were particularly significant in predicting chronic ankle instability [36]. In line with the results of Donovan et al., a reduced range of motion correlates with decreased strength, impaired neuromuscular control, and altered functional movement patterns [36].
Our results showed that the Dorsiflexion Fluency Index of the right foot, which is an index ranging from 0 to 1 and which indicates the movement quality of the ankle, significant inverse correlation with stability parameters of the foot after a one-legged landing on a forward jump. Stability is represented by the size of the ellipse surface area [37]. In addition, this parameter showed a significative positive correlation with the x-mean parameter after a one-legged landing after a forward jump and on a lateral jump both on the right foot and left foot. The x-mean parameter represented the coordinates of the CoP along the frontal planes [38]. These findings are along the same lines as the conclusions showed by Brown et al. [39]. The authors demonstrated that the mechanically unstable subjects displayed differences in frontal plane ankle motion [39]. In 2023, Han et al. provided insights into ankle dorsiflexion ranges, distinguishing between Hypo-DFROM (below 40 degrees), Normal-DFROM, and Hyper-DFROM [40]. Our results described a mean of ROM° below 40 degrees in the whole sample analyzed. None of the subjects enrolled in the study reported chronic ankle problems; this indicates the importance of regular and ongoing assessments of the ankle in athletes to prevent latent ankle impairments and future injuries. Furthermore, the data showed by Han et al. confirm our conclusions on how limited dorsiflexion negatively affects the landing/cutting task [40].
Regarding limb dominance, our study found no significant differences, though left-foot dominant subjects were underrepresented and warrant further investigation. However, significant differences were observed in performance after the specific jump-landing task, particularly in the left limb. After lateral jumps, the left foot showed a significantly greater sway path length, average speed of movement, and lower y-mean, indicating greater difficulty in stabilization compared to the right foot. Our results seem to indicate that the left foot is more difficult to stabilize on a one-legged landing task after a lateral jump than the right foot. These results are in line with the conclusions of the study by Simpson, J.D. et al. (2018) [17]. The authors demonstrated that individuals with chronic ankle instability showed dynamic postural stability deficits and reduced neuromuscular control during unilateral jump-landings [17].
Our results also highlighted reduced ankle sagittal plane displacement after lateral jumps compared to forward jumps (Table 9), a strategy observed in subjects with chronic ankle instability to reduce impact forces on the ankle complex [39,41]. As suggested by the literature, the reduction in ankle sagittal plane range is an ankle strategy during the post-landing period that decreases impact forces imposed on the ankle complex, but a greater reliance is transmitted to the proximal segments [42,43]. Furthermore, our data analysis demonstrated a significant correlation between dorsiflexion ROM and performance on the counter-movement jump (CMJ) test, particularly with the right leg (Table 2). In 2021, Panoutsakopoulos V. et al. found similar results, the authors hypothesized that individuals with a larger ankle dorsiflexion angle can more efficiently utilize the additional work provided by the arm swing in the vertical squat jump compared to individuals with a less flexible ankle joint [44].
Multiple linear regression analysis further confirmed dorsiflexion as a predictor of vertical jump height, with significant associations observed for variables such as right sway path length and average speed of movement (Table 7). Similar trends were observed for the left leg but to a lesser extent (Table 8).
The study is not without limitations. Some subjects were slightly older than eighteen, which may have introduced greater heterogeneity to the sample; the BEYOND Inertial has demonstrated reliability, and similar instruments of lower technical specifications have undergone extensive validation [25]. However, while its previous version is well-documented in the literature [45,46], the validation of the current version is still in progress. Moreover, the sample analyzed specifically consisted of students who played volleyball on an amatorial level. Nevertheless, we were unable to evaluate the impact of prior years of playing experience on the individuals. Insufficient control over the prior experience of each participant may have resulted in a certain level of variability in the findings. Thus, it is recommended that future studies give priority to selecting a more homogeneous sample with similar levels of experience in physical exercise to reduce the impact of this factor. To validate the reliability of the findings, it would be beneficial to expand the parameters for selecting participants or include a mandatory minimum number of years of expertise as a controlled factor.

5. Conclusions

This study is the first to propose a jump-landing task that tries to simulate real sports movement to be customized for specific anthropometric characteristics and performance. This may show altered adaptation strategies during a landing/cutting activity like in the play actions. Dorsiflexion ROM has a very high influence on jumping performance, and exercises to improve ankle joint mobility are essential not only to prevent injuries but also for the performance itself. Future studies should investigate the connections between lower limb movement patterns, neuromuscular control, and joint kinematics to gain a better understanding of the causes of recurring lateral ankle sprains in populations that frequently engage in repetitive jump-landings. These studies are particularly important in amateur and student settings, where injury rates are higher, and could help reduce post-injury dropout from physical activity.

Author Contributions

A.P. (Antonino Patti) and A.B.: Conceptualization; A.C. and F.F.: Data collection; A.P. (Antonino Patti) and D.S.S.V.: Data analysis; A.P. (Antonino Patti), E.T., V.G. and A.P. (Antonio Palma): Methodology; A.B. and A.P. (Antonio Palma): Supervision; G.M., P.D. and M.G.: Visualization; A.P. (Antonino Patti): Writing—original draft; V.G. and D.S.S.V.: Writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

I declare that we have no conflicts of interest in the authorship or publication of this contribution. The publication was made with the co-financing of the European Union—FESR o FSE, PON Research and Innovation 2014-2020—DM 1062/2021.

Institutional Review Board Statement

The study was carried out in compliance with the principles of the Declaration of Helsinki and approved by the Bioethics Committee of the University of Palermo (n. 94/2022—Prot. 70310).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Bere, T.; Kruczynski, J.; Veintimilla, N.; Hamu, Y.; Bahr, R. Injury risk is low among world-class volleyball players: 4-year data from the FIVB Injury Surveillance System. Br. J. Sports Med. 2015, 49, 1132–1137. [Google Scholar] [CrossRef] [PubMed]
  2. Bahr, R.; Karlsen, R.; Lian, O.; Ovrebo, R.V. Incidence and mechanisms of acute ankle inversion injuries in volleyball. A retrospective cohort study. Am. J. Sports Med. 1994, 22, 595–600. [Google Scholar] [CrossRef] [PubMed]
  3. Bahr, R.; Bahr, I.A. Incidence of acute volleyball injuries: A prospective cohort study of injury mechanisms and risk factors. Scand. J. Med. Sci. Sports 1997, 7, 166–171. [Google Scholar] [CrossRef]
  4. Akbari, H.; Shimokochi, Y.; Sheikhi, B. Ankle dorsiflexion range of motion and landing postures during a soccer-specific task. PLoS ONE 2023, 18, e0283150. [Google Scholar] [CrossRef] [PubMed]
  5. Ungureanu, A.N.; Beratto, L.; Daga, F.A.; Boccia, G.; Lupo, C.; Brustio, P.R. Changes in anthropometric and fitness profile of Italian regional academy rugby union players. Biol. Sport 2022, 39, 621–628. [Google Scholar] [CrossRef] [PubMed]
  6. Asperti, A.M.; Fernandes, T.L.; Pedrinelli, A.; Hernandez, A.J. Sports Injuries among Amateur Athletes at a Brazilian University. Acta Ortop. Bras. 2017, 25, 93–98. [Google Scholar] [CrossRef]
  7. Indriethadottir, M.H.; Sveinsson, T.; Magnusson, K.; Arngrimsson, S.A.; Johannsson, E. Prevalence of sport injuries, sport participation and drop out due to injury in young adults. Laeknabladid 2015, 101, 451–456. [Google Scholar] [CrossRef]
  8. Boden, B.P.; Torg, J.S.; Knowles, S.B.; Hewett, T.E. Video analysis of anterior cruciate ligament injury: Abnormalities in hip and ankle kinematics. Am. J. Sports Med. 2009, 37, 252–259. [Google Scholar] [CrossRef]
  9. Carlson, V.R.; Sheehan, F.T.; Boden, B.P. Video Analysis of Anterior Cruciate Ligament (ACL) Injuries: A Systematic Review. JBJS Rev. 2016, 4, e5. [Google Scholar] [CrossRef]
  10. Sahin, N.; Bianco, A.; Patti, A.; Paoli, A.; Palma, A.; Ersoz, G. Evaluation of knee joint proprioception and balance of young female volleyball players: A pilot study. J. Phys. Ther. Sci. 2015, 27, 437–440. [Google Scholar] [CrossRef]
  11. Cejudo, A. Lower Extremity Flexibility Profile in Basketball Players: Gender Differences and Injury Risk Identification. Int. J. Environ. Res. Public Health 2021, 18, 11956. [Google Scholar] [CrossRef] [PubMed]
  12. Malloy, P.; Morgan, A.; Meinerz, C.; Geiser, C.; Kipp, K. The association of dorsiflexion flexibility on knee kinematics and kinetics during a drop vertical jump in healthy female athletes. Knee Surg. Sports Traumatol. Arthrosc. 2015, 23, 3550–3555. [Google Scholar] [CrossRef] [PubMed]
  13. Hagins, M.; Pappas, E.; Kremenic, I.; Orishimo, K.F.; Rundle, A. The effect of an inclined landing surface on biomechanical variables during a jumping task. Clin. Biomech. 2007, 22, 1030–1036. [Google Scholar] [CrossRef] [PubMed]
  14. Taylor, J.B.; Wright, E.S.; Waxman, J.P.; Schmitz, R.J.; Groves, J.D.; Shultz, S.J. Ankle Dorsiflexion Affects Hip and Knee Biomechanics During Landing. Sports Health 2022, 14, 328–335. [Google Scholar] [CrossRef]
  15. Stacoff, A.; Steger, J.; Stussi, E.; Reinschmidt, C. Lateral stability in sideward cutting movements. Med. Sci. Sports Exerc. 1996, 28, 350–358. [Google Scholar] [CrossRef]
  16. Braun, B.L. Effects of ankle sprain in a general clinic population 6 to 18 months after medical evaluation. Arch. Fam. Med. 1999, 8, 143–148. [Google Scholar] [CrossRef]
  17. Simpson, J.D.; Stewart, E.M.; Macias, D.M.; Chander, H.; Knight, A.C. Individuals with chronic ankle instability exhibit dynamic postural stability deficits and altered unilateral landing biomechanics: A systematic review. Phys. Ther. Sport 2019, 37, 210–219. [Google Scholar] [CrossRef]
  18. Driller, M.W.; Overmayer, R.G. The effects of tissue flossing on ankle range of motion and jump performance. Phys. Ther. Sport 2017, 25, 20–24. [Google Scholar] [CrossRef]
  19. Rabin, A.; Einstein, O.; Kozol, Z. The association of visually-assessed quality of movement during jump-landing with ankle dorsiflexion range-of-motion and hip abductor muscle strength among healthy female athletes. Phys. Ther. Sport 2018, 31, 35–41. [Google Scholar] [CrossRef]
  20. Grabow, L.; Young, J.D.; Byrne, J.M.; Granacher, U.; Behm, D.G. Unilateral Rolling of the Foot did not Affect Non-Local Range of Motion or Balance. J. Sports Sci. Med. 2017, 16, 209–218. [Google Scholar]
  21. Cuschieri, S. The STROBE guidelines. Saudi J. Anaesth. 2019, 13, S31–S34. [Google Scholar] [CrossRef] [PubMed]
  22. Bianco, A.; Patti, A.; Bellafiore, M.; Battaglia, G.; Sahin, F.N.; Paoli, A.; Cataldo, M.C.; Mammina, C.; Palma, A. Group fitness activities for the elderly: An innovative approach to reduce falls and injuries. Aging Clin. Exp. Res. 2014, 26, 147–152. [Google Scholar] [CrossRef]
  23. Kroger, I.; Mussig, J.; Brand, A.; Patzold, R.; Wackerle, H.; Klopfer-Kramer, I.; Augat, P. Recovery of gait and function during the first six months after tibial shaft fractures. Gait Posture 2022, 91, 66–72. [Google Scholar] [CrossRef] [PubMed]
  24. Hespanhol Junior, L.C.; de Carvalho, A.C.; Costa, L.O.; Lopes, A.D. Lower limb alignment characteristics are not associated with running injuries in runners: Prospective cohort study. Eur. J. Sport Sci. 2016, 16, 1137–1144. [Google Scholar] [CrossRef]
  25. Baldazzi, A.; Molinaro, L.; Taborri, J.; Margheritini, F.; Rossi, S.; Bergamini, E. Reliability of wearable sensors-based parameters for the assessment of knee stability. PLoS ONE 2022, 17, e0274817. [Google Scholar] [CrossRef]
  26. Ahmadian, N.; Nazarahari, M.; Whittaker, J.L.; Rouhani, H. Quantification of Triple Single-Leg Hop Test Temporospatial Parameters: A Validated Method using Body-Worn Sensors for Functional Evaluation after Knee Injury. Sensors 2020, 20, 3464. [Google Scholar] [CrossRef] [PubMed]
  27. Smith, J.C.; Washell, B.R.; Aini, M.F.; Brown, S.; Hall, M.C. Effects of Static Stretching and Foam Rolling on Ankle Dorsiflexion Range of Motion. Med. Sci. Sports Exerc. 2019, 51, 1752–1758. [Google Scholar] [CrossRef]
  28. Montalvo, S.; Gonzalez, M.P.; Dietze-Hermosa, M.S.; Eggleston, J.D.; Dorgo, S. Common Vertical Jump and Reactive Strength Index Measuring Devices: A Validity and Reliability Analysis. J. Strength Cond. Res. 2021, 35, 1234–1243. [Google Scholar] [CrossRef]
  29. Glatthorn, J.F.; Gouge, S.; Nussbaumer, S.; Stauffacher, S.; Impellizzeri, F.M.; Maffiuletti, N.A. Validity and reliability of Optojump photoelectric cells for estimating vertical jump height. J. Strength Cond. Res. 2011, 25, 556–560. [Google Scholar] [CrossRef]
  30. Patti, A.; Giustino, V.; Hirose, N.; Messina, G.; Cataldi, S.; Grigoli, G.; Marchese, A.; Mule, G.; Drid, P.; Palma, A.; et al. Effects of an experimental short-time high-intensity warm-up on explosive muscle strength performance in soccer players: A pilot study. Front. Physiol. 2022, 13, 984305. [Google Scholar] [CrossRef]
  31. Butler, R.J.; Russell, M.E.; Queen, R. Effect of soccer footwear on landing mechanics. Scand. J. Med. Sci. Sports 2014, 24, 129–135. [Google Scholar] [CrossRef]
  32. Watabe, T.; Takabayashi, T.; Tokunaga, Y.; Kubo, M. Copers adopt an altered dynamic postural control compared to individuals with chronic ankle instability and controls in unanticipated single-leg landing. Gait Posture 2022, 92, 378–382. [Google Scholar] [CrossRef]
  33. Fransz, D.P.; Huurnink, A.; de Boode, V.A.; Kingma, I.; van Dieen, J.H. Time to stabilization in single leg drop jump landings: An examination of calculation methods and assessment of differences in sample rate, filter settings and trial length on outcome values. Gait Posture 2015, 41, 63–69. [Google Scholar] [CrossRef] [PubMed]
  34. Patti, A.; Bianco, A.; Messina, G.; Iovane, A.; Alesi, M.; Pepi, A.; Palma, A. Evaluation of podalic support and monitoring of balance control in children with and without dyslexia: A pilot study. Sustainability 2020, 12, 1191. [Google Scholar] [CrossRef]
  35. Cohen, J. Statistical Power Analysis for the Behavioral Sciences; Taylor and Francis: Hoboken, NJ, USA, 2013. [Google Scholar]
  36. Donovan, L.; Hertel, J. A new paradigm for rehabilitation of patients with chronic ankle instability. Physician Sportsmed. 2012, 40, 41–51. [Google Scholar] [CrossRef]
  37. Patti, A.; Bianco, A.; Sahin, N.; Sekulic, D.; Paoli, A.; Iovane, A.; Messina, G.; Gagey, P.M.; Palma, A. Postural control and balance in a cohort of healthy people living in Europe: An observational study. Medicine 2018, 97, e13835. [Google Scholar] [CrossRef] [PubMed]
  38. Scoppa, F.; Capra, R.; Gallamini, M.; Shiffer, R. Clinical stabilometry standardization: Basic definitions—acquisition interval—sampling frequency. Gait Posture 2013, 37, 290–292. [Google Scholar] [CrossRef]
  39. Brown, C.; Padua, D.; Marshall, S.W.; Guskiewicz, K. Individuals with mechanical ankle instability exhibit different motion patterns than those with functional ankle instability and ankle sprain copers. Clin. Biomech. 2008, 23, 822–831. [Google Scholar] [CrossRef]
  40. Han, S.; Lee, H.; Son, S.J.; Hopkins, J.T. Effect of varied dorsiflexion range of motion on landing biomechanics in chronic ankle instability. Scand. J. Med. Sci. Sports 2023, 33, 1125–1134. [Google Scholar] [CrossRef]
  41. Caulfield, B.M.; Garrett, M. Functional instability of the ankle: Differences in patterns of ankle and knee movement prior to and post landing in a single leg jump. Int. J. Sports Med. 2002, 23, 64–68. [Google Scholar] [CrossRef]
  42. Doherty, C.; Bleakley, C.; Hertel, J.; Caulfield, B.; Ryan, J.; Delahunt, E. Single-leg drop landing movement strategies in participants with chronic ankle instability compared with lateral ankle sprain ‘copers’. Knee Surg. Sports Traumatol. Arthrosc. 2016, 24, 1049–1059. [Google Scholar] [CrossRef] [PubMed]
  43. Monaghan, K.; Delahunt, E.; Caulfield, B. Ankle function during gait in patients with chronic ankle instability compared to controls. Clin. Biomech. 2006, 21, 168–174. [Google Scholar] [CrossRef] [PubMed]
  44. Panoutsakopoulos, V.; Kotzamanidou, M.C.; Papaiakovou, G.; Kollias, I.A. The Ankle Joint Range of Motion and Its Effect on Squat Jump Performance with and without Arm Swing in Adolescent Female Volleyball Players. J. Funct. Morphol. Kinesiol. 2021, 6, 14. [Google Scholar] [CrossRef]
  45. Taborri, J.; Molinaro, L.; Russo, L.; Palmerini, V.; Larion, A.; Rossi, S. Comparison of Machine Learning Algorithms Fed with Mobility-Related and Baropodometric Measurements to Identify Temporomandibular Disorders. Sensors 2024, 24, 3646. [Google Scholar] [CrossRef] [PubMed]
  46. Giustino, V.; Zangla, D.; Messina, G.; Pajaujiene, S.; Feka, K.; Battaglia, G.; Bianco, A.; Palma, A.; Patti, A. Kinematics of Cervical Spine during Rowing Ergometer at Different Stroke Rates in Young Rowers: A Pilot Study. Int. J. Environ. Res. Public Health 2022, 19, 7690. [Google Scholar] [CrossRef]
Figure 1. Experimental design: STROBE Flow diagram.
Figure 1. Experimental design: STROBE Flow diagram.
Jfmk 09 00160 g001
Figure 2. Measurement of joint mobility with accelerometer.
Figure 2. Measurement of joint mobility with accelerometer.
Jfmk 09 00160 g002
Table 1. Subject demographics.
Table 1. Subject demographics.
Subjects (n)Age (y)Height (cm)Weight (kg)
Mean F (37)16.016155.9
M (25)17.217469.9
Standard deviationF (37)4.788.5711.7
M (25)3.2710.612.4
M: Male; F: female; n: numbers; y: years; cm: centimeters; Kg: kilograms.
Table 2. Correlation between the dorsiflexion of the foot and all parameters.
Table 2. Correlation between the dorsiflexion of the foot and all parameters.
Dorsiflexion of Foot
Left FootRight Foot
Angular Speed (°/s)Range of Motion (ROM°)Fluency IndexAngular Speed (°/s)Range of Motion (ROM°)Fluency Index
Left footDorsiflexionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index0.400 **
PlantarflexionAngular speed (°/s)0.360 ** 0.275 * −0.281 *
Range of motion (ROM°)
Fluency Index0.540 *** 0.487 ***0.356 **
EversionAngular speed (°/s)0.378 ** 0.261 *0.443 *** 0.293 *
Range of motion (ROM°) 0.250 *
Fluency Index 0.395 **0.334 **
InversionAngular speed (°/s)0.449 *** 0.597 *** 0.287 *
Range of motion (ROM°)
Fluency Index0.422 ***
Right footDorsiflexionAngular speed (°/s) 0.334 **
Range of motion (ROM°) 0.538 ***
Fluency Index 0.355 **0.403 **
PlantarflexionAngular speed (°/s)0.308 * 0.585 *** 0.345 **
Range of motion (ROM°) 0.452 ***
Fluency Index0.321 * 0.267 *0.312 *−0.287 *0.262 *
EversionAngular speed (°/s)0.294 * 0.280 *0.627 *** 0.494 ***
Range of motion (ROM°) 0.274 * 0.322 *0.355 **
Fluency Index 0.339 **0.309* 0.251 *
InversionAngular speed (°/s) 0.647 *** 0.337 **
Range of motion (ROM°) 0.381 **
Fluency Index 0.308 *0.267 * 0.263 *
Left footOne-legged landing after a forward jumpEllipse Surface Area (mm2) −0.315 * −0.406 **
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm) 0.363 **0.308 * 0.530 ***
Y-mean (mm)
Right footOne-legged landing after a forward jumpEllipse Surface Area (mm2) −0.310 *
Maximum oscillation 0.254 *
Average speed of movement (mm/s)
X-mean (mm) 0.305 *
Y-mean (mm)
Left footOne-legged landing on a lateral jumpEllipse Surface Area (mm2) −0.352 **
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm) 0.279 *
Y-mean (mm)
Right footOne-legged landing on a lateral jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
CMJ 0.464 *** 0.810 ***
The threshold for significant differences between performances is defined as: * p < 0.05, ** p < 0.01, *** p < 0.001.
Table 3. Correlation between the plantarflexion of the foot and all parameters.
Table 3. Correlation between the plantarflexion of the foot and all parameters.
Plantarflexion of Foot
Left FootRight Foot
Angular Speed (°/s)Range of Motion (ROM°)Fluency IndexAngular Speed (°/s)Range of Motion (ROM°)Fluency Index
Left footDorsiflexionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index
PlantarflexionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index0.483 ***
EversionAngular speed (°/s)0.428 *** 0.382 **
Range of motion (ROM°) 0.399 **
Fluency Index0.355 ** 0.403 **
InversionAngular speed (°/s)0.405 ** 0.453 ***
Range of motion (ROM°) 0.499 ***
Fluency Index 0.303 *
Right footDorsiflexionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index
PlantarflexionAngular speed (°/s)0.466 *** 0.436 ***
Range of motion (ROM°) 0.585 ***
Fluency Index0.478 *** 0.464 ** 0.626 ***
EversionAngular speed (°/s)0.379 ** 0.280 * 0.320 * 0.715 *** 0.380 **
Range of motion (ROM°) 0.303 * 0.290 *
Fluency Index 0.290* 0.378 ** 0.359 **
InversionAngular speed (°/s)0.252 * 0.300* 0.656 ** 0.497 ***
Range of motion (ROM°) 0.377 ** 0.270 * 0.309 *
Fluency Index 0.369 ** 0.298 *
Left footOne-legged landing after a forward jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
Right footOne-legged landing after a forward jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
Left footOne-legged landing on a lateral jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
Right footOne-legged landing on a lateral jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
CMJ
The threshold for significant differences between performances is defined as: * p < 0.05, ** p < 0.01, *** p < 0.001.
Table 4. Correlation between the eversion of the foot and all parameters.
Table 4. Correlation between the eversion of the foot and all parameters.
Eversion of Foot
Left FootRight Foot
Angular Speed (°/s)Range of Motion (ROM°)Fluency IndexAngular Speed (°/s)Range of Motion (ROM°)Fluency Index
Left footDorsiflexionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index
PlantarflexionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index
EversionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index 0.579 ***
InversionAngular speed (°/s) 0.684 *** 0.352 **
Range of motion (ROM°) 0.307 *
Fluency Index 0.298 * 0.255 *
Right footDorsiflexionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index
PlantarflexionAngular speed (°/s) 0.671 *** 0.585 ***
Range of motion (ROM°) 0.314 *
Fluency Index 0.489 *** 0.465 ***
EversionAngular speed (°/s) 0.695 *** 0.380 **
Range of motion (ROM°) 0.629 ***
Fluency Index 0.314 * 0.480 *** 0.464 ***
InversionAngular speed (°/s) 0.673 *** 0.461 *** 0.637 *** 0.300 *
Range of motion (ROM°) 0.347 **
Fluency Index 0.462 *** 0.433 *** 0.288 * 0.459 ***
Left footOne-legged landing after a forward jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
Right footOne-legged landing after a forward jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
Left footOne-legged landing on a lateral jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
Right footOne-legged landing on a lateral jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
CMJ
The threshold for significant differences between performances is defined as: * p < 0.05, ** p < 0.01, *** p < 0.001.
Table 5. Correlation between the inversion of the foot and all parameters.
Table 5. Correlation between the inversion of the foot and all parameters.
Inversion of Foot
Left FootRight Foot
Angular Speed (°/s)Range of Motion (ROM°)Fluency IndexAngular Speed (°/s)Range of Motion (ROM°)Fluency Index
Left footDorsiflexionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index
PlantarflexionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index
EversionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index
InversionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index 0.382 **
Right footDorsiflexionAngular speed (°/s)
Range of motion (ROM°)
Fluency Index
PlantarflexionAngular speed (°/s) 0.633 *** 0.265 *
Range of motion (ROM°) 0.476 ***
Fluency Index 0.413 ***
EversionAngular speed (°/s) 0.684 *** 0.290 *
Range of motion (ROM°)
Fluency Index
InversionAngular speed (°/s) 0.757 ***
Range of motion (ROM°) 0.298 * 0.657 *** 0.288 *
Fluency Index 0.36 **
Left footOne-legged landing after a forward jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
Right footOne-legged landing after a forward jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
Left footOne-legged landing on a lateral jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
Right footOne-legged landing on a lateral jumpEllipse Surface Area (mm2)
Maximum oscillation
Average speed of movement (mm/s)
X-mean (mm)
Y-mean (mm)
CMJ
The threshold for significant differences between performances is defined as: * p < 0.05, ** p < 0.01, *** p < 0.001.
Table 6. Comparison of parameters between males and females using the independent samples t-test.
Table 6. Comparison of parameters between males and females using the independent samples t-test.
DescriptionGendernMeanSDpCohen’s d
AgeF3716.0274.775ns
M2517.2403.270
HeightF37160.7308.568<0.001−1.47
M25174.08010.571
WeightF3755.94611.723<0.001−1.16
M2569.88012.364
Left footOne-legged landing after a forward jump* Ellipse Surface Area (mm2)F3767,044.4536,620.1ns
M2582,007.766,993.9
* Sway path length (mm)F37845.427281.710ns
M25943.225333.231
* Maximum oscillationF3742.05663.4840.007−0.61
M2599.247125.736
* Average speed of movement (mm/s)F3742.77414.492ns
M2547.86017.984
* X-meanF37−31.80913.256ns
M25−30.84518.738
Y-meanF379.49314.314ns
M2516.02619.085
Right footOne-legged landing after a forward jump* Ellipse Surface Area (mm2)F3777,004.338,035.4ns
M2585,871.648,083.5
* Sway path length (mm)F37923.166349.061ns
M25876.222284.824
* Maximum oscillationF3795.330152.405ns
M2572.798132.586
* Average speed of movement (mm/s)F3746.84617.650ns
M2545.97818.437
X-meanF37−29.90911.828ns
M25−28.67012.373
Y-meanF3710.63110.952ns
M2512.53316.041
Left footOne-legged landing on a lateral jump* Ellipse Surface Area (mm2)F3772,284.88238,690.435ns
M2574,317.06632,100.34
* Sway path length (mm)F371090.288442.459ns
M251007.506284.450
* Maximum oscillationF3776.547110.790ns
M2575.708120.193
* Average speed of movement (mm/s)F3755.65823.406ns
M2552.16216.778
* X-meanF37−32.72825.125ns
M25−35.72715.995
Y-meanF375.65917.210ns
M259.46714.178
Right footOne-legged landing on a lateral jump* Ellipse Surface Area (mm2)F3769,621.04437,242.685ns
M2579,571.32877,463.133
Sway path length (mm)F371034.607331.2640.0270.58
M25868.578186.447
* Maximum swingF37101.488144.359ns
M2551.33360.789
* Average speed of movement (mm/s)F3752.636175.341ns
M2543.9699.822
* X-meanF37−27.62817.750ns
M25−29.15927.710
* Y-meanF377.6609.008ns
M2510.98021.543
Left footDorsiflexion* Angular speed (°/s)F3744.83834.791ns
M2542.80023.272
Range of motion (ROM°)F3729.7545.913ns
M2530.8966.269
* Fluency IndexF370.860.156ns
M250.880.116
Left footPlantarflexion* Angular speed (°/s)F3746.70336.325ns
M2547.52045.710
Range of motion (ROM°)F3744.9359.012ns
M2546.08811.211
* Fluency IndexF370.830.142ns
M250.820.145
Left footEversionAngular speed (°/s)F3747.73025.941ns
M2540.04021.255
Range of motion (ROM°)F3732.2059.936ns
M2532.8247.925
* Fluency IndexF370.8660.141ns
M250.8580.134
Left footInversion* Angular speed (°/s)F3754.75722.869ns
M2547.92019.455
Range of motion (ROM°)F3737.9708.495ns
M2539.09211.572
* Fluency IndexF370.9070.098ns
M240.8380.206
Right footDorsiflexion* Angular speed (°/s)F3745.97327.046ns
M2545.64020.512
Range of motion (ROM°)F3729.8276.193ns
M2531.5206.754
* Fluency IndexF370.8600.120ns
M250.9170.107
Right footPlantarflexion* Angular speed (°/s)F3750.35125.588ns
M2541.84020.134
Range of motion (ROM°)F3743.5438.861ns
M2542.7769.620
* Fluency IndexF370.8430.116ns
M250.8240.101
Right footEversion* Angular speed (°/s)F3751.05427.993ns
M2548.64028.110
Range of motion (ROM°)F3733.0308.463ns
M2534.38012.373
* Fluency IndexF370.8790.183ns
M250.8630.125
Right footInversion* Angular speed (°/s)F375325.970ns
M254822.856
Range of motion (ROM°)F3737.9248.3194ns
M2542.05613.204
* Fluency IndexF370.8690.176ns
M250.9010.105
CMJF3718.7354.8050.001−0.89
M2523.3245.609
*: U of Mann-Whitney analysis; ns: not significant, SD: Standard deviation.
Table 7. Multiple linear regression (dependent variable: Performance CMJ (Cm); independent variable: Right Dorsiflexion Range of Mov.°, foot size, right sway path length, right average speed of movement, and Right Plantarflexion Range of Mov.°). Regression p-value < 0.001; Adjusted R2 = 0.78.
Table 7. Multiple linear regression (dependent variable: Performance CMJ (Cm); independent variable: Right Dorsiflexion Range of Mov.°, foot size, right sway path length, right average speed of movement, and Right Plantarflexion Range of Mov.°). Regression p-value < 0.001; Adjusted R2 = 0.78.
Multiple Linear Regression—CMJ (cm)
PredictorEstimateSEtp
Intercept −24.694 6.143 −4.019 <0.001
Right Dorsiflexion Range of Mov. ° 0.674 0.057 11.672 <0.001
Foot size 0.605 0.127 4.767 <0.001
Right sway path length (mm) 0.017 0.006 2.890 0.005
Right average speed of movement (mm/s) −0.322 0.107 −3.018 0.004
Right Plantarflexion Range of Mov.° −0.006 0.041 −0.145 0.885
Table 8. Multiple linear regression (dependent variable: Performance CMJ (Cm); independent variable: Left Dorsiflexion Range of Mov.°, foot size, left sway path length, left average speed of movement and Left Plantarflexion Range of Mov.°). Regression p-value < 0.001; Adjusted R2 = 0.33.
Table 8. Multiple linear regression (dependent variable: Performance CMJ (Cm); independent variable: Left Dorsiflexion Range of Mov.°, foot size, left sway path length, left average speed of movement and Left Plantarflexion Range of Mov.°). Regression p-value < 0.001; Adjusted R2 = 0.33.
Multiple Linear Regression—CMJ (cm)
PredictorEstimateSEtp
Intercept −16.919 9.644 −1.754 0.085
Left Dorsiflexion Range of Mov. ° 0.489 0.108 4.545 <0.001
Foot size 0.634 0.211 3.007 0.004
Left sway path length (mm) 0.002 0.017 0.102 0.919
Left average speed of movement (mm/s) −0.066 0.327 −0.200 0.842
Left Plantarflexion Range of Mov.° −0.031 0.065 −0.471 0.639
Table 9. Pair t-test between landing after a forward jump right vs. left and on a lateral jump (l).
Table 9. Pair t-test between landing after a forward jump right vs. left and on a lateral jump (l).
Measurementsp
Left ellipse surface area (mm2)vs.Right ellipse surface area (mm2)0.147
Left sway path length (mm)vs.Right sway path length (mm)0.603
Left maximum oscillationvs.Right maximum swing0.363
Left x-meanvs.Right x-mean0.305
Left y-meanvs.Right y-mean0.655
Left ellipse surface area (mm2)vs.(l)—Left ellipse surface area (mm2)0.997
Left sway path length (mm)vs.(l)—Left sway path length (mm)<0.001
Left maximum oscillationvs.(l)—Left maximum oscillation0.589
Left average speed of movement (mm/s)vs.(l)—Left average speed of movement (mm/s)<0.001
Left x-meanvs.(l)—Left x-mean0.420
Left y-meanvs.(l)—Left y-mean0.014
Right ellipse surface area (mm2)vs.(l)—Right ellipse surface area (mm2)0.313
Right sway path length (mm)vs.(l)—Right sway path length (mm)0.154
Right maximum swingvs.(l)—Right maximum oscillation0.839
Right average speed of movement (mm/s)vs.(l)—Right average speed of movement (mm/s)0.288
Right x-meanvs.(l)—Right x-mean0.671
Right y-meanvs.(l)—Right y-mean0.146
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Patti, A.; Gervasi, M.; Giustino, V.; Figlioli, F.; Canzone, A.; Drid, P.; Thomas, E.; Messina, G.; Vicari, D.S.S.; Palma, A.; et al. The Influence of Ankle Mobility and Foot Stability on Jumping Ability and Landing Mechanics: A Cross-Sectional Study. J. Funct. Morphol. Kinesiol. 2024, 9, 160. https://doi.org/10.3390/jfmk9030160

AMA Style

Patti A, Gervasi M, Giustino V, Figlioli F, Canzone A, Drid P, Thomas E, Messina G, Vicari DSS, Palma A, et al. The Influence of Ankle Mobility and Foot Stability on Jumping Ability and Landing Mechanics: A Cross-Sectional Study. Journal of Functional Morphology and Kinesiology. 2024; 9(3):160. https://doi.org/10.3390/jfmk9030160

Chicago/Turabian Style

Patti, Antonino, Marco Gervasi, Valerio Giustino, Flavia Figlioli, Alberto Canzone, Patrik Drid, Ewan Thomas, Giuseppe Messina, Domenico Savio Salvatore Vicari, Antonio Palma, and et al. 2024. "The Influence of Ankle Mobility and Foot Stability on Jumping Ability and Landing Mechanics: A Cross-Sectional Study" Journal of Functional Morphology and Kinesiology 9, no. 3: 160. https://doi.org/10.3390/jfmk9030160

APA Style

Patti, A., Gervasi, M., Giustino, V., Figlioli, F., Canzone, A., Drid, P., Thomas, E., Messina, G., Vicari, D. S. S., Palma, A., & Bianco, A. (2024). The Influence of Ankle Mobility and Foot Stability on Jumping Ability and Landing Mechanics: A Cross-Sectional Study. Journal of Functional Morphology and Kinesiology, 9(3), 160. https://doi.org/10.3390/jfmk9030160

Article Metrics

Back to TopTop