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ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol., 29 October 2024
Sec. Biomechanics

An observational study of lower limb muscle imbalance assessment and gait analysis of badminton players

Ping HuangPing Huang1Wenxin Xu
Wenxin Xu1*Zeyi BaiZeyi Bai2Lin Yu&#x;Lin Yu2Qichang Mei,Qichang Mei2,3Yaodong Gu,&#x;Yaodong Gu2,3
  • 1Institute of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China
  • 2Faculty of Sports Science, Ningbo University, Ningbo, China
  • 3Research Academy of Grand Health, Ningbo University, Ningbo, China

Purpose: The imbalance of muscle strength indicators has a negative impact on players. Lower limb muscle imbalance can cause gait abnormalities and increase the risk of muscle injury or decreased performance in significantly asymmetrical situations. This study aims to assess the lower limb muscle imbalance and gait feature between the dominant and non-dominant sides of badminton players and the associations between the two variables.

Methods: The study included 15 badminton players with years of training experience. Muscle strength and gait parameters were obtained from isokinetic muscle strength testing and plantar pressure analysis systems. The symmetry index was calculated based on formulas such as plantar pressure distribution and percentage of plantar contact area.

Results: In the isokinetic muscle strength test, significant differences were found in bilateral knee flexors’ average power and total work at 60°/s angular speed. The hamstring to quadriceps ratio (H/Q) range of knee joints of the dominant and non-dominant sides is 0.63–0.74 at low speed, while the H/Q range is 0.81–0.88 at fast speed. The H/Q of bilateral knees increases with increasing angular velocity. As the angular velocity increases, the peak torque to body weight ratio (PT/BW) of the participants’ bilateral knee flexors and extensors shows a decreasing trend. The asymmetry score of H/Q at 180°/s angular speed is positively related with step time and stance time. There are varying degrees of differences in gait staging parameters, plantar pressure in each area, plantar contact area, and symmetry index between the dominant and non-dominant sides of badminton players when walking.

Conclusion: Badminton players have weaker flexors of the knee joint, imbalanced muscle strength in flexors and extensors, decreased lower limb stability, and a risk of knee joint injury on the non-dominant side. The bending and stretching strength of the knee joint on the dominant side of the players is greater than that on the non-dominant side. The pressure in the first metatarsal region of the dominant side is higher, while that in the midfoot and heel regions is higher on the non-dominant side. badminton players have better forward foot force and heel cushioning ability. Long term badminton sports result in specialized changes in plantar pressure distribution and reduced symmetry.

1 Introduction

Symmetry emerged through natural selection in evolution and has the characteristic of simple coding, and the human body is usually considered a biological structure with symmetry (Johnston et al., 2022). However, the reduced multitasking ability, high energy consumption, and bilateral action control issues result in asymmetric development of the nervous system (Ocklenburg and Mundorf, 2022). In human daily activities, long-term specialized training and abnormal movement patterns caused by injuries and illnesses lead to structural and functional abnormalities. The difference in the structure and function of bilateral limbs is called limb asymmetry (Bishop et al., 2018; Keeley et al., 2011). Players in sports such as football (Croisier et al., 2008), softball (Newton et al., 2006), and speed skating (Shu et al., 2023) all suffer from limb asymmetry. Badminton, as a handheld racket sport, has been proven to cause upper limb muscle imbalance (Gasibat et al., 2023). The lower limb lunge movement, repeated starts, sudden stops, and changing direction in badminton cause rapid changes in joint angles of the lower limb, as well as the larger ground reaction force during takeoff and landing, resulting in lower limb asymmetry, which is also the leading cause of lower limb injuries (Wei, 2009; Shen et al., 2024). The body rebuilds muscle balance through compensation within an acceptable load range to complete basic technical movements. The impact on the body is not apparent in the short term. However, abnormal movement patterns can occur when the accumulation exceeds the body’s limit, leading to increased fatigue or injury (Grindem et al., 2011; Yu et al., 2023a). Therefore, it is important to evaluate the imbalance of lower limb muscle strength indicators in badminton players.

Muscle imbalance can be assessed by the differences between agonist and antagonists and the bilateral differences (Gioftsidou et al., 2008; Henderson et al., 2010). The characteristics of repeated lunges and rapid return in badminton result in differences in the strength of the knee flexors and extensors, which are believed to be related to hamstring injury (Chin et al., 1994; Askling et al., 2003; Orchard et al., 1997). The relatively weak hamstring muscle may be one of the reasons for the increased incidence of anterior cruciate ligament injury during this sport (Russell et al., 1995). Reliable and repeatable measuring tools can identify abnormal patterns in the body (Safayi et al., 2015; Krizsan-Agbas et al., 2014). When comparing the strength ratios of the hamstring and quadriceps muscles, isokinetic strength testing is commonly used for identifying imbalances (Bennell et al., 1998; Askling et al., 2003). Muscle imbalance and lateral movement in the lunge cause abnormal gait in badminton players. Gait analysis is a method to monitor walking patterns through experimental instruments, which can objectively evaluate the functional behavior of the feet and reveal essential aspects and influencing factors of gait abnormalities (Klöpfer-Krämer et al., 2020; Yu et al., 2022). Plantar pressure distribution in normal individuals exhibits bilateral symmetry (Yuan et al., 2004) and is not affected by age, gender, or weight (Luger et al., 1999). Due to repeated practice of specialized movements, players develop a characteristic distribution of specialized plantar pressure. Analyzing the distribution and changes of plantar pressure in specialized players and then analyze abnormal gait, providing a valuable reference for evaluating lower limb function in specialized players. Understanding the characteristics of plantar pressure distribution can effectively optimize technical movements, reduce foot injuries, and improve the design of specialized shoes (Morlock and Nigg, 1991; Zhang and Ni, 2012).

It is important to understand the muscle imbalance of badminton players, because it can better guide training arrangements and provide a reference for developing professional badminton footwear (Gasibat et al., 2023). This study aims to evaluate the differences in lower limb muscle strength between the dominant and non-dominant sides, as well as the differences between the flexor and extensor muscles in players who have engaged in long-term badminton training. Furthermore, the study seeks to determine the presence of muscle balance. The differences in dynamic plantar pressure parameters, gait cycle characteristics, and symmetry index of participants during walking were evaluated using a plantar pressure system.

2 Methods

2.1 Participant characteristics and body composition assessments

A total of 15 advanced skill male badminton players from the school team (age: 20.8 ± 2.3 years, height: 174.47 ± 5.3 cm, weight: 67.79 ± 6.87 kg, years of playing badminton: 5.1 ± 1.8 years) participated in this study. All participants held the racket with their right hand, thus the right side was defined as the dominant side. Prior to testing, a body composition assessment was conducted using the Tanita MC-180. The muscle masses of left upper limb, right upper limb, left lower limb and right lower limb were 2.57 ± 0.33 kg, 2.89 ± 0.25 kg, 10.81 ± 0.95 kg and 11.03 ± 1.04 kg, respectively, with greater muscle mass observed on the right side compared to the left. All participants were confirmed to have normal anatomical structure and function, good physical condition, and motor ability with no acute or chronic injuries to their lower limbs and feet, as verified through a medical history inquiry and physical examination. All participants voluntarily signed an informed consent form before the experiment. This study was approved by the Institutional Review Board of Ningbo university (TY2024007), in strict accordance with the principles outlined in the 1975 Helsinki Declaration.

2.2 Lower limb muscle strength measurement

The CON-TREX device (CON-TREX MJ Multi-joint Module, CMVAG, Switzerland) was used to assess the strength of antagonistic muscle groups in the knee joint. Prior to testing, the participants were familiarized with the experimental procedure and underwent a thorough warm-up. The testing instruments were calibrated routinely. The side holding the racket was defined as the dominant side and the opposite side was the non-dominant side. Testing strictly followed the methods specified in the experimental instrument manual, using the centripetal mode and following the isokinetic testing standard developed by Davies and Ellenbecker, (2012). Joint testing velocities of 60°/s and 180°/s were selected. 1-min interval between groups and 3∼5-min interval between both sides were taken during testing. The analyzed parameters included peak torque (PT) (Nm, maximum torque of muscles or joints), average power (AP) (J/s, muscle work per unit time), total work (TW) (J, product of force and angular displacement), peak torque to body weight ratio (PT/BW) (Nm/kg, muscle torque per unit weight), and the hamstring to quadriceps ratio (H/Q) (%, strength ratio between agonist and antagonist muscle groups). The left and right strength scores were normalized and expressed as a percentage: Asymmetry = |mean R - mean L|/mean [R, L] * 100.

2.3 Gait assessment

Plantar pressure during walking was assessed using the Foot-scan plate system (RS Scan International, Belgium), consisting of a 2 m × 0.5 m flat plate, with a 3-m-long, equally wide floor mat placed before and after the plate. Trained professionals conducted the test. Prior to testing, the surveyors demonstrated the measurement method to the participants and explained the necessary precautions. First, participants were instructed to remove their shoes and socks for a barefoot test. They were then given time to walk adaptively. Subsequently, the participants were asked to walk naturally, without any restrictions on stride length or pace, ensuring they avoided walking around the edges of the plate. Each measurement was repeated five times to ensure the collection of reliable data. The test parameters for gait feature analysis included gait velocity (m/s), step time (seconds), stance time (seconds) and double support phase (percentage of gait cycle time). The test parameters for plantar pressure analysis were measured in 10 anatomical regions (Figure 1): toe 1 (T1), toes 2–5 (T2-5), first metatarsal head (M1), second metatarsal head (M2), third metatarsal head (M3), fourth metatarsal head (M4), fifth metatarsal head (M5), midfoot (MF), heel medial (HM), and heel lateral (HL). The symmetry index (SI) of gait variables, including peak pressure and contact area, was calculated according to Tyrell et al. (Tyrell et al., 2011) and Hsu et al. (Hsu et al., 2003). An SI value of 0 indicates perfect symmetry.

Figure 1
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Figure 1. Ten anatomical regions of plantar pressure.

2.4 Statistical Analyses

Statistical analysis was performed by using SPSS 24.0 (IBM Corporation, Armonk, NY). Continuous data was expressed by mean ± standard deviation (M ± SD). The Mann-Whitney U test was applied to compare gait phase parameters with a non-normal distribution between the bilateral lower limbs, while an independent-samples t-test was used to analyze differences in plantar pressure and muscle strength between the bilateral lower limbs. Statistical significance was set at p < 0.05 (*). Pearson correlation coefficient was used to evaluate the relationship between lower limb muscle strength data and gait features. The coefficient was classified using the following definitions: 0–0.19, very weak; 0.20–0.39, weak; 0.40–0.59, moderate; 0.60–0.79, strong; 0.80–1.00, very strong.

3 Results

This study mainly focused on the lower limb muscle imbalance and gait features of badminton players. Parameters such as bilateral lower limb muscle strength distance and average power were obtained through isokinetic muscle strength testing, and the knee joint H/Q was calculated to evaluate the balance of unilateral flexion extension muscle group. Weight standardization of peak torque was used for comparison between different individuals. Comparison of lower limb muscle strength and gait data between dominant and non-dominant sides was used to evaluate lower limb asymmetry.

3.1 Isokinetic muscle strength test results

Table 1 shows that at 60°/s, significant differences were found in the flexors’ average power and total work and in the H/Q of the flexors and extensors between bilateral knee joints (p < 0.01). In addition, at different angular velocities, there was no significant difference in the peak torque of flexors and extensors between bilateral knee joints. The dominant side was higher than the non-dominant side. The strength ratio of the flexors and extensors was 0.63–0.74 at 60°/s but significantly increased to 0.81–0.88 at fast speed (p < 0.05).

Table 1
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Table 1. Characteristics of muscle strength of bilateral knee joint (X ± s, n = 15).

Table 2 shows that PT/BW of the dominant and non-dominant sides decreases with increasing angular velocity, and extension is greater than flexion at different angular velocities. At 60°/s angular speed, the non-dominant knee joint’s flexion and extension PT/BW were significantly greater than at 180°/s. In contrast, flexion PT/BW of the dominant knee joint was significantly greater than at 180°/s.

Table 2
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Table 2. Results of relative peak torque at different angular velocities (X ± s).

3.2 Dynamic characteristics

3.2.1 Distribution of plantar pressure on the dominant and non-dominant side

During walking, differences were observed in peak pressure across the ten regions of the plantar area of the participants (Figure 2). Peak pressure was highest in the second and third metatarsal regions, while the areas with lower peak pressure were mainly located in the T2-5 and MF regions. The peak pressure of the medial forefoot on the dominant side was higher than that on the non-dominant side, with a significant difference in the M1 area (p < 0.05). The peak pressure of the midfoot and heel medial on the non-dominant side was significantly higher than on the dominant side (p < 0.05). Additionally, significant differences were found in the contact area (Figure 3). The contact area of the dominant side was significantly larger than that of the non-dominant side in the first-fifth metatarsal and heel regions (p < 0.05). The SI of pick pressure was 0.18 ± 0.11, and that of contact area was 0.14 ± 0.11.

Figure 2
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Figure 2. Schematic diagram of peak pressure in each area (X ± s). Note: * indicates a significant difference in peak pressure between bilateral lower limbs, p<0.05.

Figure 3
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Figure 3. Schematic diagram of contact area in each area (X ± s). Note: * indicates a significant difference in contact area between bilateral lower limbs, p<0.05.

3.2.2 Gait phase parameters

Walking is a cyclical movement. The period from when one heel lifts off the ground until it contacts the ground again is referred to as a gait cycle. A gait cycle includes a stance phase and a swing phase. This experiment divided the gait cycle into heel strike, pre-midstance, midstance, and propulsion (Figure 4). The Gait phase parameters are expressed as the percentage of each time phase to the total time. There was no significant difference between the dominant and non-dominant feet of the participants at different time phases, but the dominant side had a longer landing time on the forefoot than the non-dominant side, and the non-dominant side required more time in the final propulsion phase (See Table 3).

Figure 4
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Figure 4. Phases of the gait cycle.

Table 3
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Table 3. Comparison of gait phase parameters among participants.

Figure 5 shows the correlation analysis between lower limb muscle strength and gait features. The lower limb muscle strength parameters were asymmetry scores of H/Q and PT/BW at speeds of 60°/s and 180°/s. The gait parameters included gait velocity, step time, stance time and double support phase. The results show that the asymmetry score of lower limb H/Q ratio at 180°/s is positively correlated with step time and stance time.

Figure 5
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Figure 5. Correlation analysis between lower limb muscle strength and gait features.

4 Discussion

Bilateral lower limb asymmetry and muscle imbalance are influencing factors of sports injuries (Dauty et al., 2016; Hiemstra et al., 2004). Traditional views suggest that reducing limb asymmetry can reduce the risk of injury (Askling et al., 2003; Croisier et al., 2002; Orchard et al., 1997). Methods of identification and calculation for lower limb functional asymmetry should be selected based on sport-specific characteristics in order to have a scientific understanding of the impact of lower limb functional asymmetry on players. This study analyzed the lower limb muscle function of badminton players through dynamic analysis methods, providing a basis for targeted strength training and injury prevention in badminton.

Asymmetry on the dominant and non-dominant sides is common among badminton players due to the specific characteristics of the sport. This study found that when comparing the flexors of bilateral knee joints in players, significant differences were found in the average power and total work at 60°/s. This is related to the footwork characteristics of badminton. In the middle and front court movement, the dominant side completes the lunge movement. During the lunge, the muscle strength of the flexors and extensors of the dominant side is enhanced, while the non-dominant side usually maintains body balance, resulting in weaker flexors on the non-dominant side. The knee joint H/Q represents the balance of muscle strength between agonist and antagonist muscle groups, indirectly reflecting the stability of the knee joint (Li, 2022). The results of this study showed that at low speed, the H/Q range of the dominant and non-dominant knee joints was 0.63–0.74, while at fast speed, the H/Q range was 0.81–0.88. There is a significant difference in the H/Q of the flexors and extensors between the bilateral sides at 60°/s. Previous studies found that the H/Q range of the knee joint is generally from 50% to 80% (Grace et al., 1984; Raunest et al., 1996; Bennell et al., 1998). Experimental studies have shown that the bilateral knee joint H/Q of young national male badminton athletes is within normal values, which is of great significance for maintaining stability (Liang et al., 2021). Therefore, college badminton players should strengthen the strength of the knee joint flexors. Otherwise, knee joint injuries may occur during explosive power output. There were significant differences between H/Q at 60°/s and that at 180°/s both on the dominant side and non-dominant side, indicating that as badminton players increase their movement speed or the intensity of the game increases, the contribution of the posterior thigh muscle during lunge increases, thereby achieving the requirements of rapid brace and return. PT/BW can standardize body weight and compare differences between different individuals. The results of this study showed that as the angular velocity increased, the flexion and extension PT/BW of bilateral knee joints in the participants showed a decreasing trend, which is consistent with the variation law of the muscle force-velocity curve. When the dominant side is in the middle or front court for a lunge, the non-dominant side usually quickly flexes and follows. Previous studies have suggested that athletes with higher levels of skill typically have stronger flexion abilities on the non-dominant side, but further research is needed (Liang et al., 2021). The results of this study support the hypothesis that college badminton players with years of training experience have weaker flexion ability on the non-dominant knee joint.

The anatomical features of ordinary people are approximately symmetrical. Therefore, gait characteristics and muscle activation in motion control are symmetrical. The highest plantar pressure in healthy adults during walking is in the third metatarsal bone, followed by the heel (Periyasamy et al., 2011; Soames, 1985; Hsu et al., 2003), which is consistent with the distribution trend of plantar pressure in this study. When comparing the peak pressure on the dominant and non-dominant sides, the pressure in the first metatarsal region on the dominant side is significantly higher than that on the non-dominant side, whereas the pressure in the middle and outer regions of the forefoot on the dominant side is significantly lower than that on the non-dominant side. Badminton players experience greater pressure in the first metatarsal area of their dominant side during the starting, braking, and returning phases, especially in the main force-producing area in the medial forefoot during the returning phase (Yu et al., 2023b). Therefore, when designing badminton footwear, stress concentration in the first metatarsal area should be considered more. The pressure in the midfoot and heel on the non-dominant side is significantly higher than that on the dominant side because in badminton footwork, most of the force is generated by the forefoot propulsion, and the dominant side dominates the forward driving force. The pressure in the metatarsal and heel regions on the dominant side is significantly different from that on the non-dominant side, indicating that athletes who have undergone years of badminton training can reduce the risk of injury and provide more stable support by increasing the contact area of the foot to buffer local pressure.

Limb asymmetry during walking is considered an important variable for evaluating gait quality (Awad et al., 2015; Tyrell et al., 2011; Hsu et al., 2003). The research results indicate that there is an asymmetry in plantar pressure and contact area. The asymmetrical gait of athletes who engage in badminton for the long term is mainly caused by muscle imbalance. In training practice, limb asymmetry should be combined with basic strength, explosive power, and other assessments to optimize the evaluation system of advanced skill athletes and provide new tools for a deeper understanding of athlete physical deficiencies. The results of the gait phase parameters suggest that there is no significant difference between the bilateral limbs of the participants at each time phase, but the landing time of the dominant side is longer than that of the non-dominant side, while the final propulsion time of the dominant side is shorter than that of the non-dominant side. Badminton players who use their dominant side more frequently may exhibit longer forefoot landing times, and this preference may lead to adaptive changes in muscles and nervous systems. The shorter propulsion time of the dominant side is also related to forefoot propulsion in the starting phase of badminton footwork. Correlation analysis between asymmetry scores of lower limb muscle strength and gait features found that the asymmetry score of H/Q ratio at 180°/s was positively correlated with step time and stance time. It reflects that badminton players adapt to asymmetrical strength by adjusting their gait. This adjustment may be due to the enhancement of the weak side stability through compensation mechanism of body by extending step time. When there is a significant difference in H/Q ratio, players need longer stance time to maintain balance, leading to a decrease in dynamic control ability caused by power asymmetry. However, the limitation of this study is the small sample size. In future research, the gait characteristics of ordinary people can be added for comparative analysis of the non-equilibrium characteristics generated by long-term badminton sports.

5 Conclusion

College badminton players have weaker knee flexors on the non-dominant side, which is significantly different from advanced skill athletes. Therefore, it is necessary to enhance the specialized strength of the flexors during training and competition. Given the H/Q exceeds the normal range at 180°/s, the explosive training of the flexors and extensors should be strengthened to reduce the risk of a knee injury. During walking, the first metatarsal bone experiences greater pressure, which should be considered in shoe design. In the gait phase parameters, athletes who have undergone long-term badminton training have better adaptability to changes in buffering and propulsion force on the dominant side.

Flexor training should be strengthened to reduce muscle imbalance in the flexors and extensors, therefore enhancing knee joint stability. In traditional training modes, the strength imbalance of bilateral limbs still exists during bilateral strength exercises such as squats. The sport of holding the racket on one side makes these imbalances permanent, and specific resistance training may be required for the weaker side.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by the Institutional Review Board of Ningbo university. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

PH: Conceptualization, Formal Analysis, Writing–original draft. WX: Supervision, Writing–review and editing. ZB: Investigation, Writing–original draft. LY: Investigation, Writing–review and editing. QM: Conceptualization, Methodology, Supervision, Writing–review and editing. YG: Supervision, Writing–review and editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The study was sponsored by the National Social Science Fund of China (19BTY017), and partly supported by the Badminton World Federation (BWF) Sport Science Research project.

Acknowledgments

We certify that the given manuscript is unpublished and original. We really appreciate the reviewers’ thorough analysis of this work.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The reviewer UCU declared a past co-authorship with the author(s) QM to the handling editor.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fbioe.2024.1439889/full#supplementary-material

References

Askling, C., Karlsson, J., and Thorstensson, A. (2003). Hamstring injury occurrence in elite soccer players after preseason strength training with eccentric overload. Scand. J. Med. Sci. Sports 13, 244–250. doi:10.1034/j.1600-0838.2003.00312.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Awad, L. N., Palmer, J. A., Pohlig, R. T., Binder-Macleod, S. A., and Reisman, D. S. (2015). Walking speed and step length asymmetry modify the energy cost of walking after stroke. Neurorehabil Neural Repair 29 (5), 416–423. doi:10.1177/1545968314552528

PubMed Abstract | CrossRef Full Text | Google Scholar

Bennell, K., Wajswelner, H., Lew, P., Schall-Riaucour, A., Leslie, S., Plant, D., et al. (1998). Isokinetic strength testing does not predict hamstring injury in Australian Rules footballers. Br. J. Sports Med. 32 (4), 309–314. doi:10.1136/bjsm.32.4.309

PubMed Abstract | CrossRef Full Text | Google Scholar

Bishop, C., Turner, A., and Read, P. (2018). Effects of inter-limb asymmetries on physical and sports performance: a systematic review. J. Sports Sci. 36 (10), 1135–1144. doi:10.1080/02640414.2017.1361894

PubMed Abstract | CrossRef Full Text | Google Scholar

Chin, M. K., So, R. C., Yuan, Y. W., Li, R. C., and Wong, A. S. (1994). Cardiorespiratory fitness and isokinetic muscle strength of elite Asian junior soccer players. J. Sports Med. Phys. Fit. 34 (3), 250–257. PMID: 7830388.

PubMed Abstract | Google Scholar

Croisier, J. L., Forthomme, B., Namurois, M. H., Vanderthommen, M., and Crielaard, J. M. (2002). Hamstring muscle strain recurrence and strength performance disorders. Am. J. Sports Med. 30 (2), 199–203. doi:10.1177/03635465020300020901

PubMed Abstract | CrossRef Full Text | Google Scholar

Croisier, J. L., Ganteaume, S., Binet, J., Genty, M., and Ferret, J. M. (2008). Strength imbalances and prevention of hamstring injury in professional soccer players: a prospective study. Am. J. Sports Med. 36 (8), 1469–1475. doi:10.1177/0363546508316764

PubMed Abstract | CrossRef Full Text | Google Scholar

Dauty, M., Menu, P., Fouasson-Chailloux, A., Ferréol, S., and Dubois, C. (2016). Prediction of hamstring injury in professional soccer players by isokinetic measurements. Muscles Ligaments Tendons J. 6 (1), 116–123. doi:10.32098/mltj.01.2016.14

PubMed Abstract | CrossRef Full Text | Google Scholar

Davies, G. J., and Ellenbecker, T. S. (2012). “Application of isokinetics in testing and rehabilitation,” in Physical rehabilitation of the injured athlete. Editors J. R. Andrews, G. L. Harrelson, and K. E. Wilk (Philadelphia, PA: Elsevier), 548–570.

CrossRef Full Text | Google Scholar

Gasibat, Q., Abdullah, B., Samsudin, S., Alexe, D. I., Alexe, C. I., and Tohanean, D. I. (2023). Gender-specific patterns of muscle imbalance in elite badminton players: a comprehensive exploration. SPORTS 11 (9), 164. doi:10.3390/sports11090164

PubMed Abstract | CrossRef Full Text | Google Scholar

Gioftsidou, A., Ispirlidis, I., Pafis, G., Malliou, P., Bikos, C., and Godolias, G. (2008). Isokinetic strength training program for muscular imbalances in professional soccer players. Sport Sci. Health 2, 101–105. doi:10.1007/s11332-008-0047-5

CrossRef Full Text | Google Scholar

Grace, T. G., Sweetser, E. R., Nelson, M. A., Ydens, L. R., and Skipper, B. J. (1984). Isokinetic muscle imbalance and knee-joint injuries. A prospective blind study. J. Bone Jt. Surg. Am. 66 (5), 734–740. PMID: 6725320. doi:10.2106/00004623-198466050-00012

PubMed Abstract | CrossRef Full Text | Google Scholar

Grindem, H., Logerstedt, D., Eitzen, I., Moksnes, H., Axe, M. J., Snyder-Mackler, L., et al. (2011). Single-legged hop tests as predictors of self-reported knee function in nonoperatively treated individuals with anterior cruciate ligament injury. Am. J. Sports Med. 39 (11), 2347–2354. doi:10.1177/0363546511417085

PubMed Abstract | CrossRef Full Text | Google Scholar

Henderson, G., Barnes, C. A., and Portas, M. D. (2010). Factors associated with increased propensity for hamstring injury in English Premier League soccer players. J. Sci. Med. Sport 13 (4), 397–402. doi:10.1016/j.jsams.2009.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Hiemstra, L. A., Webber, S., MacDonald, P. B., and Kriellaars, D. J. (2004). Hamstring and quadriceps strength balance in normal and hamstring anterior cruciate ligament-reconstructed subjects. Clin. J. Sport Med. 14 (5), 274–280. doi:10.1097/00042752-200409000-00005

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsu, A. L., Tang, P. F., and Jan, M. H. (2003). Analysis of impairments influencing gait velocity and asymmetry of hemiplegic patients after mild to moderate stroke11No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the authors(s) or upon any organization with which the author(s) is/are associated. Arch. Phys. Med. Rehabil. 84 (8), 1185–1193. doi:10.1016/s0003-9993(03)00030-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnston, I. G., Dingle, K., Greenbury, S. F., Camargo, C. Q., Doye, J. P. K., Ahnert, S. E., et al. (2022). Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution. Proc. Natl. Acad. Sci. U. S. A. 119 (11), e2113883119. doi:10.1073/pnas.2113883119

PubMed Abstract | CrossRef Full Text | Google Scholar

Keeley, D. W., Plummer, H. A., and Oliver, G. D. (2011). Predicting asymmetrical lower extremity strength deficits in college-aged men and women using common horizontal and vertical power field tests: a possible screening mechanism. J. Strength Cond. Res. 25 (6), 1632–1637. doi:10.1519/JSC.0b013e3181ddf690

PubMed Abstract | CrossRef Full Text | Google Scholar

Klöpfer-Krämer, I., Brand, A., Wackerle, H., Müßig, J., Kröger, I., and Augat, P. (2020). Gait analysis - available platforms for outcome assessment. Injury 51 (Suppl. 2), S90–s96. doi:10.1016/j.injury.2019.11.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Krizsan-Agbas, D., Winter, M. K., Eggimann, L. S., Meriwether, J., Berman, N. E., Smith, P. G., et al. (2014). Gait analysis at multiple speeds reveals differential functional and structural outcomes in response to graded spinal cord injury. J. Neurotrauma 31 (9), 846–856. doi:10.1089/neu.2013.3115

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Z. (2022). Isokinetic muscle strength testing and technology of training in sports medicine. Rev. Bras. Med. do Esporte 28, 757–759. doi:10.1590/1517-8692202228062022_0050

CrossRef Full Text | Google Scholar

Liang, Y. J., Li, Z. Y., Su, L. Q., and Zhou, Y. J. (2021). Research on bilateral knee isokinetic muscle strength characteristics of high-level junior male badminton players. J. Cap. Univ. Phys. Educ. Sports 33 (06), 623–629. doi:10.14036/j.cnki.cn11-4513.2021.06.006

CrossRef Full Text | Google Scholar

Luger, E. J., Nissan, M., Karpf, A., Steinberg, E. L., and Dekel, S. (1999). Patterns of weight distribution under the metatarsal heads. J. Bone Jt. Surg. Br. 81 (2), 199–202. doi:10.1302/0301-620x.81b2.9353

PubMed Abstract | CrossRef Full Text | Google Scholar

Morlock, M., and Nigg, B. M. (1991). Theoretical considerations and practical results on the influence of the representation of the foot for the estimation of internal forces with models. Clin. Biomech. 6 (1), 3–13. doi:10.1016/0268-0033(91)90035-O

PubMed Abstract | CrossRef Full Text | Google Scholar

Newton, R. U., Gerber, A., Nimphius, S., Shim, J. K., Doan, B. K., Robertson, M., et al. (2006). Determination of functional strength imbalance of the lower extremities. J. Strength Cond. Res. 20 (4), 971–977. doi:10.1519/R-5050501x.1

PubMed Abstract | CrossRef Full Text | Google Scholar

Ocklenburg, S., and Mundorf, A. (2022). Symmetry and asymmetry in biological structures. Proc. Natl. Acad. Sci. U. S. A. 119 (28), e2204881119. doi:10.1073/pnas.2204881119

PubMed Abstract | CrossRef Full Text | Google Scholar

Orchard, J., Marsden, J., Lord, S., and Garlick, D. (1997). Preseason hamstring muscle weakness associated with hamstring muscle injury in Australian footballers. Am. J. Sports Med. 25 (1), 81–85. doi:10.1177/036354659702500116

PubMed Abstract | CrossRef Full Text | Google Scholar

Periyasamy, R., Mishra, A., Anand, S., and Ammini, A. C. (2011). Preliminary investigation of foot pressure distribution variation in men and women adults while standing. Foot (Edinb) 21 (3), 142–148. doi:10.1016/j.foot.2011.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Raunest, J., Sager, M., and Bürgener, E. (1996). Proprioceptive mechanisms in the cruciate ligaments: an electromyographic study on reflex activity in the thigh muscles. J. Trauma 41 (3), 488–493. doi:10.1097/00005373-199609000-00017

PubMed Abstract | CrossRef Full Text | Google Scholar

Russell, K. W., Quinney, H. A., Hazlett, C. B., and Hillis, D. (1995). Knee muscle strength in elite male gymnasts. J. Orthop. Sports Phys. Ther. 22 (1), 10–17. doi:10.2519/jospt.1995.22.1.10

PubMed Abstract | CrossRef Full Text | Google Scholar

Safayi, S., Jeffery, N. D., Shivapour, S. K., Zamanighomi, M., Zylstra, T. J., Bratsch-Prince, J., et al. (2015). Kinematic analysis of the gait of adult sheep during treadmill locomotion: parameter values, allowable total error, and potential for use in evaluating spinal cord injury. J. Neurol. Sci. 358 (1-2), 107–112. doi:10.1016/j.jns.2015.08.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, S., Teng, J., Fekete, G., Mei, Q., Zhao, J., Yang, F., et al. (2024). Influence of torsional stiffness in badminton footwear on lower limb biomechanics. J. Sports Sci. Med. 23 (1), 196–208. doi:10.52082/jssm.2024.196

PubMed Abstract | CrossRef Full Text | Google Scholar

Shu, Y., Liang, Z. Q., Ma, M. J., Feng, J. P., Wei, X. B., Song, Q. Q., et al. (2023). Biomechanical analysis of lower-limb asymmetry in Chinese speed skating national team athletes. J. Shanghai Univ. Sport 47 (06), 67–75. doi:10.16099/j.sus.2022.09.29.0008

CrossRef Full Text | Google Scholar

Soames, R. W. (1985). Foot pressure patterns during gait. J. Biomed. Eng. 7 (2), 120–126. doi:10.1016/0141-5425(85)90040-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Tyrell, C. M., Roos, M. A., Rudolph, K. S., and Reisman, D. S. (2011). Influence of systematic increases in treadmill walking speed on gait kinematics after stroke. Phys. Ther. 91 (3), 392–403. doi:10.2522/ptj.20090425

PubMed Abstract | CrossRef Full Text | Google Scholar

Wei, Y. (2009). Effects of sports shoes on metatarsophalangeal joint and rearfoot motion in typical badminton footwork. China Sport Sci. doi:10.16469/j.css.2009.10.014

CrossRef Full Text | Google Scholar

Yu, L., Jiang, H., Mei, Q., Mohamad, N. I., Fernandez, J., and Gu, Y. (2023a). Intelligent prediction of lower extremity loadings during badminton lunge footwork in a lab-simulated court. Front. Bioeng. Biotechnol. 11, 1229574. doi:10.3389/fbioe.2023.1229574

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, L., Wang, Y., Fernandez, J., Mei, Q., Zhao, J., Yang, F., et al. (2023b). Dose-response effect of incremental lateral-wedge hardness on the lower limb Biomechanics during typical badminton footwork. J. Sports Sci. 41 (10), 972–989. doi:10.1080/02640414.2023.2257513

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, L., Yu, P., Liu, W., Gao, Z., Sun, D., Mei, Q., et al. (2022). Understanding foot loading and balance behavior of children with motor sensory processing disorder. Child. (Basel) 9 (3), 379. doi:10.3390/children9030379

CrossRef Full Text | Google Scholar

Yuan, G., Zhang, M. X., Wang, Z. Q., and Zhang, J. H. (2004). The distribution of foot pressure and its influence factors in Chinese people. Chin. J. Phys. Med. Rehabilitation 26 (3), 156–159. doi:10.3760/j:issn:0254-1424.2004.03.008

CrossRef Full Text | Google Scholar

Zhang, Q. L., and Ni, C. M. (2012). Progress in research on the influence of footwear on plantar pressure distribution and comfort. Chin. J. Rehabilitation Med. 27 (02), 180–183. doi:10.3969/j.issn.1001-1242.2012.02.024

CrossRef Full Text | Google Scholar

Keywords: badminton player, gait analysis, muscle imbalance, plantar pressure, symmetry index

Citation: Huang P, Xu W, Bai Z, Yu L, Mei Q and Gu Y (2024) An observational study of lower limb muscle imbalance assessment and gait analysis of badminton players. Front. Bioeng. Biotechnol. 12:1439889. doi: 10.3389/fbioe.2024.1439889

Received: 28 May 2024; Accepted: 21 October 2024;
Published: 29 October 2024.

Edited by:

Qipeng Song, Shandong Sport University, China

Reviewed by:

Dusan Radivoje Mitic, University of Belgrade, Serbia
Ukadike Chris Ugbolue, University of the West of Scotland, United Kingdom

Copyright © 2024 Huang, Xu, Bai, Yu, Mei and Gu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Wenxin Xu, xwx2005888@126.com

ORCID: Lin Yu, orcid.org/0000-0002-5385-8145; Yaodong Gu, orcid.org/0000-0003-2187-9440

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