Next Article in Journal
Functional Rehabilitation for Medial Gastrocnemius Silent Contractures to Prevent Foot and Ankle Disorders: A Review
Previous Article in Journal
Hip Muscle Strength Ratios Predicting Groin Injury in Male Soccer Players Using Machine Learning and Multivariate Analysis—A Prospective Cohort Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Kinematic, Neuromuscular and Bicep Femoris In Vivo Mechanics during the Nordic Hamstring Exercise and Variations of the Nordic Hamstring Exercise

1
School of Health and Society, University of Salford, Salford M5 4WT, UK
2
School of Medical and Health Sciences, Edith Cowan University, Joondalup 6027, Australia
3
Hawkin Dynamics, Westbrook, ME 04092, USA
*
Author to whom correspondence should be addressed.
Muscles 2024, 3(3), 310-322; https://doi.org/10.3390/muscles3030027
Submission received: 1 August 2024 / Revised: 23 August 2024 / Accepted: 12 September 2024 / Published: 18 September 2024

Abstract

:
The Nordic hamstring exercise (NHE) is effective at decreasing hamstring strain injury risk. Limited information is available on the in vivo mechanics of the bicep femoris long head (BFLH) during the NHE. Therefore, the purpose of this study was to observe kinematic, neuromuscular and in-vivo mechanics of the BFLH during the NHE. Thirteen participants (24.7 ± 3.7 years, 79.56 ± 7.89 kg, 177.40 ± 12.54 cm) performed three repetitions of the NHE at three horizontal planes (0°, 20° and −20°). Dynamic ultrasound of the dominant limb BFLH, surface electromyography (sEMG) of the contralateral hamstrings and sagittal plane motion data were simultaneously collected. Repeated measures analysis of variance with Bonferroni post hoc corrections were used on the in vivo mechanics and the kinematic and sEMG changes in performance of the NHE. Likely differences in ultrasound waveforms for the BFLH were determined. Significant and meaningful differences in kinematics and in vivo mechanics between NHE variations were observed. Non-significant differences were observed in sEMG measures between variations. Changes to the NHE performance angle manipulates the lever arm, increasing or decreasing the amount of force required by the hamstrings at any given muscle length, potentially changing the adaptive response when training at different planes and providing logical progressions ore regressions of the NHE. All NHE variations result in a similar magnitude of fascicle lengthening, which may indicate similar positive adaptations from the utilization of any variation.

1. Introduction

The structure of the hamstring muscles, including fascicle length (FL), adapts in varying ways in response to different training stimuli, which is considered a crucial element in the reduction in hamstring strain injury (HSI) risk [1]. Supramaximal eccentric exercises, such as the Nordic hamstring exercise (NHE), have been shown to increase bicep femoris long head (BFLH) FL [2]. This contrasts with quasi-isometric (e.g., razor curls) and short muscle length conventional hamstring training (e.g., lying leg curls), where researchers have reported no change and a decrease in BFLH FL, respectively [1,3,4]. However, to date, research is limited in quantifying the muscle fascicle dynamics during hamstring resistance exercises [5,6]. Such information may aid researchers and practitioners in explaining why preferential adaptations (i.e., increased BFLH FL), may occur when utilizing the NHE.
There is a consensus on the complexity of collecting dynamic ultrasound on the BFLH [5,6]. More recently, researchers have been successful at imaging the BFLH fascicles during various exercises, including the NHE [5,6]. Raiteri et al. [5] observed lengthening of the BFLH FL changes during the NHE. From 85% of peak force to peak force attained during the NHE there was significant lengthening of the BFLH FL (from 4.2 ± 2.7 mm to 8.1 ± 5.5 mm, dependent on the tracking method). The sole study to identify in vivo muscle mechanics across the entire NHE, Van Hooren et al. [6] observed BFLH FL changes during the NHE, while also observing single-leg Romanian deadlift and Roman chair hold. For the NHE, BFLH FL was observed to initially shorten, but a lengthening was found to occur only after reaching the break point, with a 28.6 ± 10.9 mm excursion, potentially illustrating that the NHE is not actually an eccentric exercise. Fascicle changes within the single-leg Romanian deadlift followed and lengthening followed by shortening during hip flexion and hip extension, respectively, while, to no surprise, a Roman chair hold resulted in minimal change in BFLH FL except at the end of the movement during the barbell lowering phase [6]. However, to date, no study has attempted to identify any changes in BFLH FL during variations of the NHE, with consideration of progressing and regressing the exercise.
Implementation of the NHE within sports typically prescribes it as a supra-maximal exercise on a horizontal plane (0°). With continued application, there will be progressive overload by reaching a greater knee extension angle before reaching a break point, resulting in a greater moment arm; however, this should be followed with the progressive application of load, if full knee extension can be achieved under control, to continually see adaptations in risk factors of HSI (i.e., eccentric strength and BFLH FL) [1,3,4]. Commonly, this progression includes the addition of external weight (2.5–5 kg); however, as the NHE is still not commonplace within both male and female elite sports [7,8], the addition of load could be a stumbling block in its application. Performing the NHE on an incline or decline would manipulate the lever through which the center of mass from the knee up is acting, thereby increasing or decreasing the amount of force required by the hamstrings to control the descent, until a break point is achieved when the hamstrings can no longer resist the lengthening, which can occur at any knee joint angle. To date, only a single study has been published identifying no differences in peak torque at the knee between neutral performance at 0°, 20° and 40° of inclinations, albeit with reduced muscle activity at greater knee extension angles [9]. However, a decline NHE, which should increase the peak torques and result in more acute knee extension angles, has not been observed. Therefore, the aims of this study were to investigate the angle at which the NHE is performed and its influence on the kinematic, neuromuscular and in vivo dynamics of the BFLH throughout the movement. It was hypothesized that an incline NHE would reduce the intensity (i.e., decreased surface electromyography (sEMG) and increased break point angle), while a decline NHE would increase the intensity (i.e., increased sEMG and decreased break point angle). It was also hypothesized that the differences in the kinematics (knee extension angle) would result in comparable differences in in vivo fascicle lengthening.

2. Materials and Methods

Thirteen physically active individuals (10 males and 3 females, age 24.7 ± 3.7 years, body mass 79.56 ± 7.89 kg, height 177.40 ± 12.54 cm) with no history of lower-limb injury participated in this observational study, with participants chosen based on convenience sampling. All participants reported that they were physically active, with a previous history of performing the NHE within training and familiarity with the exercise, representing tiers 1 and 2 from the classification from McKay et al. [10]. Written informed consent was obtained from all participants prior to testing, citing no previous hamstring strain injury in the preceding six months. The study was approved by the ethics committee (HSR1819-048) and conformed to the principles of the Declaration of Helsinki (2013). A priori sample size estimation was performed using an average identified effect size (d = 0.8) between variations of the NHE in torque and kinematics from Sarabon et al. [9]; with a statistical power of 0.80 and an alpha error probability of 0.05 a projected sample of 10 was needed.
Prior to performing the NHE, resting BFLH architectural data were collected, followed by performance of a standardized warmup consisting of two sets of ten repetitions of bodyweight squats, lunges and leg swings. To perform the NHE, participants knelt on a padded Nordic bench (Power Lift, Jefferson, IA, USA), with the ankles secured immediately superior to the lateral malleolus by ankle pads that were secured to the bench. From the initial kneeling position, with arms held across the chest and hips extended, participants lowered their body as slowly as possible to a prone position. Participants only performed the lowering portion of the exercise, aiming to lower with as much control as possible, until the lowering phase could no longer be controlled and they reached a break point [11,12], at which point they were instructed to use their arms to control the decent in a push-up motion. The Nordic bench was positioned across 3 horizontal planes for NHE performance angles of flat at 0°, incline at 20° and decline at −20° (Figure 1) [9]. Participants were instructed to perform three repetitions of each variation in a random order, with a one-minute rest provided between each repetition and 2–3 min between each variation. Hip flexion was not permitted during the NHE and counted as a failed repetition; if hip extension was observed by the assessor, the repetition would be discounted and repeated after 2–3 min rest.
Resting BFLH FL was collected with participants lying in a prone position with full knee and hip extension. Images were captured at the halfway point between the ischial tuberosity and the lateral epicondyle, along the line of the BFLH in accordance with previous research [13,14]. A 10 cm linear array ultrasound probe with a layer of conductive gel was applied, with a depth resolution of 67 mm and a density of 48% (MyLab, Esaote, Genoa, Italy). Care was taken to ensure minimal pressure was applied to the skin, and the assessor (NJR) manipulated the orientation of the probe slightly if the superficial and intermediate aponeuroses were not parallel.
The same probe and ultrasound scanner was utilized to collect dynamic ultrasound clips of the BFLH fascicles during the NHE variations for the self-identified dominant leg. A custom designed cast was utilized that was able to securely house the probe (Figure 2). Double-sided adhesive tape and elasticated bandages were used to attach the probe and cast to the posterior thigh. Enough conductive gel was applied to the probe prior to being fixed upon the posterior thigh, where it was fixed in orientation to the guideline to achieve an accurate plane to view the BFLH fascicles.
Three-dimensional motion data for the NHE variations were collected using infrared cameras (Qualisys, Partille, Sweden). Passive retro-reflective markers were placed on each of the lateral portions of the participants’ legs and trunk (lateral malleoli, lateral femoral epicondyles, greater trochanter and acromion process). Motion data were collected at 250 Hz and filtered using a 5 Hz single cutoff frequency filter.
Surface sEMG activity of the contralateral limb BFLH and medial hamstrings was measured for all trials. Participants’ skin was prepared using a standardized process including shaving and alcohol wipes [15]. Electrodes 10 mm in diameter and with a 17.5 mm inter-electrode distance (Noraxon U.S.A. Inc, Scottsdale, AZ, USA) were placed at the mid-point of the BFLH and medial hamstrings, as per SENIAM guidelines. Raw sEMG data were captured at 1500 Hz. Correct electrode placement was confirmed prior to commencing data collection with manual muscle testing (i.e., by asking the participants to voluntarily contract the hamstrings against manual resistance), and minimal crosstalk was visually and physically checked via internal and external rotation of the leg with a 90° knee angle.
Analysis of motion data identified instantaneous hip (lateral femoral epicondyle, greater trochanter and acromion process) and knee (lateral malleoli, lateral femoral epicondyles, greater trochanter) angles and knee angular velocity. Raw data were subsequently exported into a custom-designed Excel spreadsheet (Microsoft, Redwood, WA, USA), and movement onset was identified as the moment participants moved >5° from an average knee angle taken from the first two seconds of data collection. To identify the moment where participants could no longer control the descent (i.e., break point), a knee angular velocity threshold of ≥20°/s was utilized (Figure A1). From the instantaneous hip and knee angles, estimations of BFLH muscle tendon-unit lengths were calculated using regression equations [16]. Kinematic (joint angle and muscle tendon unit length) variables were extracted at the break point, but the break point was also used for time normalization of the NHE within the dynamic ultrasound videos.
Raw sEMG data were high- and low-pass filtered between 10 and 1000 Hz. Processing of the sEMG data was performed with a root mean square filter across a moving average window of 25 ms. Normalization to a perceived maximum value was not performed, as comparisons of sEMG intensity between variations were performed within individuals (i.e., between NHE variations) and not between individuals. Peak sEMG amplitude of both the BFLH and the medial hamstrings was identified across the normalized NHE.
Resting sonograms were analyzed offline with Image J (Version 1.52, Wayne Rasband National Institute of Health, Bethesda, MD, USA). A linear equation (Equation (1)) was utilized to estimate BFLH FL.
FL = L + (h ÷ SIN(β))
Equation (1): fascicle length estimation using the partial measure equation, where L is the observable fascicle length, h is the perpendicular distance between the superficial aponeurosis and the fascicle’s visible end point, and β is the angle between the fascicle and the superficial aponeurosis.
Dynamic ultrasound videos were analyzed using a semi-automated tracking algorithm processed using the UltraTrack MATLAB graphical user interface (MathWorks, Natick, MA, USA). The first ultrasound image of each video sequence, a muscle region of interest and fascicle end points were defined. The muscle region of interest was defined as the area between the superficial and deep aponeuroses of the BFLH muscle that was visible in the ultrasound image. Changes in the BFLH FL were tracked using an optical flow algorithm with affine optic flow extension [17].
Data are presented as mean ± standard deviation (SD); JASP ((version 0.19.0) computer software) was used for all statistical analysis. Normality was assessed by the Shapiro–Wilk statistic. Absolute and relative between-trial reliability of peak measures was assessed by coefficient of variation (CV) percentages and two-way random effects model intraclass correlation coefficients (ICCs), with 95% confidence intervals (CIs) determined for both measures of reliability. Absolute reliability (CV) was interpreted based on the upper-bound 95% confidence intervals as <5% excellent, 5–10% good, 10–15% moderate and >15% poor. A coefficient of multiple correlations (CMCs) with a 95% CI was also performed to analyze the similarity between waveforms by comparing shape, timing and amplitude [18]. The ICC and CMC values were interpreted based on the lower-bound CI as (<0.50) poor, (0.5–0.74) moderate, (0.75–0.90) good and (>0.90) excellent [19].
Repeated measures analysis of variance (RMANOVA) with Bonferroni post hoc corrections was conducted to determine whether there were significant differences in the in vivo mechanics and the kinematic and sEMG changes in performance of the NHE between incline, flat and decline. Hedge’s g effect sizes were also calculated to provide a measure of magnitude of the differences in each variable, interpreted in line with previous recommendations, which defined values of <0.35, 0.35–0.79, 0.80–1.5 and >1.5 as trivial, small, moderate and large, respectively [20]. Statistical significance was defined as p < 0.05 for all tests.
To identify differences in absolute and relative BFLH FL between the three performance angles, the whole repetition (1–100%) was used as one input using an Excel spreadsheet. Likely differences between NHE performance angle waveforms for absolute and relative BFLH FL changes were determined by plotting the time-normalized average curves for each group, along with the corresponding upper and lower 95% CIs to create upper and lower control limits and identify non-overlapping areas.

3. Results

Descriptive and reliability statistics for kinematics are presented in Table 1. Kinematic measures demonstrated moderate–good absolute reliability. Poor–good relative reliability was observed, although measures of MTU length were poor–moderate.
A significant main effect was observed between NHE performance angles (p < 0.001). Post hoc analysis revealed significant, moderate-to-large differences for the knee angle at the break point across all performance angles (Figure 3, Table A1), whereas for MTU length at break point there was only a significant, moderate difference between incline and decline variants (Table A1). There were no significant differences observed for change in knee angle or change in MTU length.
Descriptive and reliability statistics for all sEMG measures are presented in Table 2. The absolute and relative reliability of sEMG measures was moderate–good for both the BFLH and ST (Table 2).
No significant main effect was observed between NHE performance angles (p = 0.651).
Moderate between-trial reliability was observed across the dynamic ultrasound waveforms for each variation of the NHE (Table 3). Significant main effects (p < 0.001) were observed, with significant and large differences between the starting FL, shortest FL, FL at break point and total dynamic FL change between performance angles (Table A2). Likely differences based on the shaded 95% CI were observed between the NHE performance angle for both absolute and relative waveforms between flat and decline NHE performance (Figure 4) and between incline and decline NHE performance (Figure 5).

4. Discussion

The incline variation of the NHE resulted in a more active ROM, as hypothesized and in line with previous literature [9]. The current study is only the third study to the authors’ knowledge to image dynamic changes in BFLH FL within the NHE, as with previous works shortening and lengthening was observed [5,6]. FL is impacted by the performance angle, likely as an effect of changes in joint angles and MTU lengths. During the flat and decline variations of the NHE, there was a reduction in knee angle and MTU length at the break point. There were moderate–large increases in knee angle at the break point and small–moderate increases in MTU length for the incline variation in comparison to flat and decline variations. Between the variations, only trivial–small differences were observed between the change in knee angle and the change in MTU length. Additionally, using the break point angle relative to the horizontal as an indicator of gravitational moment, there were trivial-to-small differences, highlighting that the forces experienced may be similar between variation when achieving a break point even at different muscle lengths. Consistent with the work of Sarabon et al. [9] there was decreasing peak muscle activity between variations of the NHE, although it was trivial–small in magnitude.
Training at longer muscle lengths has shown to result in greater positive adaptations in BFLH FL, whereas in contrast, training at a shorter muscle length results in a greater positive adaptation for eccentric hamstring strength [21]. Franchi et al. [22] highlighted the potential of a more pronounced mechanical stretch that could be applied to single sarcomeres during larger ROM tasks, influencing serial sarcomere distribution and eventual architectural adaptations [23]. This may signify that an incline NHE, where the knee joint is in an elevated position in comparison to when attached at the ankles, could lead to larger positive adaptations in BFLH FL in contrast to the traditional NHE or decline variations. It has also been observed that training at a greater muscle length results in similar or greater increases in muscle size [24]. This indicates that utilizing an incline NHE could lead to an increase in hamstring muscle volume, which could be extremely beneficial for athletes who require simultaneous adaptations in muscle size and architectural adaptations, such as youth team sport athletes or aesthetic athletes. When performing the NHE at a longer muscle length, an increase in early torque production has been identified [25]; however, the present study did not measure or assess torque. As a similar break point is achieved during the NHE, the peak torques attained would likely be similar, which is consistent with work by Sarabon and colleagues [9], which is supported by consistency within the gravitational moment (knee angle at break point relative to the horizontal). Therefore, adaptations in eccentric hamstring strength could be similar between the NHE performance angles, as the peak eccentric torques (or gravitational moments, as used in the present study) are identical if a break point is achieved. Practitioners implementing the NHE aims should be increasing eccentric hamstring strength and BFLH FL [1,26,27,28,29].
To the authors’ knowledge, this is the third study to observe hamstring in vivo mechanics during the NHE but only the second to effectively assess changes in hamstring muscle architecture across an entire exercise movement, with previous published works only observing end-stage ROM of the NHE (>85% maximum force) [5]. The difficulties in dynamically imaging hamstring muscle architecture have been explored previously, including field of view, spatiotemporal resolution, transducer design and image quality [5,6,18,29]. Despite these difficulties, the current study found moderate levels of between-trial reliability using both ICCs and CMCs (Table 3); only Van Hooren and colleagues [6] have identified measures of reliability for the vivo previously, but this was based of absolute values of BFLH FL excursion and velocity, where there was good and poor reliability based off the point estimate, respectively. The moderate level of reliability reported also highlights the ability of the semi-automated tracking system to dynamically assess the BFLH during exercise, although Raiteri et al. [5] identified that there was a significant difference between tracking algorithms (UltraTrack vs. pointTrack), with UltraTrack reporting a shorter change in FL during the NHE to a large magnitude. Across all the NHE variations for both absolute and relative FLs, approximately 40% of the ROM involved fascicle shortening (i.e., concentric action), after which there was fascicle lengthening (i.e., eccentric action) (Figure 4 and Figure 5).
Between the three NHE variations across the entire ROM, the incline variation involved a greater absolute and relative FL in comparison to the other variations, with likely differences across the waveform (Figure 4 and Figure 5, respectively). In contrast, the decline NHE variation involved a lower absolute and relative FL across the entire ROM. One explanation for the difference in FLs could be from the initial starting positions—as the incline NHE commences at a more extended knee angle and a greater MTU length, it is unsurprising that the FL would be greater in comparison to the other variations. The greater degree of fascicle lengthening observed in the incline NHE could indicate that the incline NHE maybe preferential when attempting to achieve architectural adaptations of the BFLH through great mechanical stress placed on the fascicles [22]. The results of the present study are consistent with those from previous literature, with similar shortening following by lengthening observed by Van Hooren et al. [6], although in contrast, lengthening in the FL only occurred after the break point, with initial shortening followed by an isometric state where there was very little change in FL. However, this could be explained by the hip flexion that occurs concurrently with knee extension, potentially performing an exercise closer to a quasi-isometric exercise, similar to the razor curl. It is also worth noting that the break point was only identified as the moment of “free fall” by Van Hooren and colleagues [6], which is a subjective measure. Although Raiteri et al. [5] also observed net fascicle lengthening during the NHE, they were only able to assess images once forces had reached >85% peak force within the NHE; therefore, they likely missed the initial shortening prior to reaching the moment of fascicle lengthening. The authors proposed that this could be occurring between 0 and 50% of peak force, which is support by the present research even without an accurate measurement of force being identified and has been suggested to be taken up by elastic components within other muscle groups [30,31]. As the early change or shortening is likely being taken up by elastic components, the eventual lengthening when reaching high forces could be further supporting the suggestion of increased mechanical load placed on the individual sarcomeres. However, the present study only observed the dynamic changes occurring within the BFLH without observing the other muscles within the hamstring group. Within the quadriceps muscle group, dynamic FL changes during eccentric exercise are individual-muscle specific, typically because of different muscle compositions [30,31]. Therefore, it could be speculated that within the hamstring complex during eccentric exercises, there is variety of dynamic FL changes occurring, potentially highlighting the need for a multi-factorial training process.
The sEMG response demonstrated that between NHE performance variations, there were minimal, trivial-to-small differences between NHE variations and the individual muscles response. Sarabon et al. [9] identified a significant, small–moderate decrease in relative activation of the BF and medial hamstrings with increasing slope (or performance angle), which is consistent with the present study, albeit to a smaller magnitude. However, due to the impact of normalizing sEMG amplitudes, any normalization procedure could have influenced the observed result [32]. A normalization procedure was not performed for the present study, as comparisons of sEMG intensity between variations were performed within individuals and not between. Therefore, a more accurate reflection of the task intensity and patterning could be provided from non-normalized sEMG amplitudes, despite impacting the comparisons to Sarabon et al. [9]. The individual variations (Table A2) within sEMG could in fact be the result of individual preferential coordination strategies performed within and between the tasks [33,34], with the potential for variations in force-sharing strategies within and between the muscles of the hamstrings. Although this requires further investigation, investigating this with a reflection of region-specific activation and fiber strain would also be beneficial [35,36,37,38]. Moreover, future research should observe sEMG at the break point and sEMG time waveforms through the entire range of motion.
The current study is not without limitations. Firstly, the present data only include two-dimensional ultrasound imaging, which fails to capture the complex interactions between transverse and longitudinal muscle strains and the potential rotation around the longitudinal axis that can occur under voluntary actions [18], questioning the validity that two-dimensional imaging provides. Moreover, capturing dynamic FL changes is a difficult task to accomplish, requiring precise application of the ultrasound probe, appropriate fixation ensuring contact with scanning site and issues with muscle bulging during contraction and muscle rotation. As imaging technology improves, further research should look to observe the dynamic fascicle changes that occur across all the hamstring muscles. In addition, assessing dynamic fascicle changes across a range of exercises could be considered crucial to identify potential differences in adaptations. Future dynamic imaging studies should look to group participants by strength, as suggested by Raiteri et al. [5], to be able to understand how individual strength impacts the fascicle dynamics, which could be related to the between-subject differences when using the NHE within athlete training program. This information could highlight differences in strategy of loading, specifically within the NHE, as an individual’s level of strength could alter the velocity and strategy of loading, therefore assisting physical performance coaches and physiotherapists in understanding how to cue the NHE within training for athletes.

5. Conclusions

The observed change in NHE starting position, which influenced knee angle and MTU length, could explain the observed differences within the in vivo muscle fascicle changes in the BFLH. It could also support the decreased neuromuscular contributions. When compared to a resting FL within the early–mid range of movement (0–40% time), greater fascicle shortening was observed within the decline and flat NHE variations. This is likely due to the contractile components within the BFLH taking up more slack within the elastic component (i.e., distal tendon), which is under less strain during the early stages of the movement. Despite these differences early during the movement, there were no likely differences between variations at the mid–end range (40–100% time). The results of the present study highlight the utility of performance angle manipulation for practitioners, with the ability to regress or progress the NHE with alterations in the lever arm reducing or increasing as required by the hamstrings to resist knee extension within incline or decline variations, respectively. Moreover, all variations resulted in a similar magnitude of fascicle lengthening achieving a similar break point, potentially indicating that a similar positive adaptation in eccentric hamstring strength and BFLH FL may occur.

Author Contributions

Conceptualization, N.R. and J.M.; methodology, N.R.; investigation, N.R.; writing—original draft preparation, N.R.; writing—review and editing, P.C., J.F. and J.M.; supervision, P.C. and J.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of the University of Salford (HSR1819-048 and 11 March 2019).

Informed Consent Statement

Written and informed consent was obtained from all participants involved in the study.

Data Availability Statement

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

Conflicts of Interest

Author John McMahon is employed by the company Hawkin Dynamics. The remaining 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.

Appendix A

Figure A1. Time–knee extension angle and time–knee extension angular velocity graphs, identifying the moment of break point >20°/s threshold.
Figure A1. Time–knee extension angle and time–knee extension angular velocity graphs, identifying the moment of break point >20°/s threshold.
Muscles 03 00027 g0a1
Table A1. Pairwise difference between kinematic measures for each Nordic hamstring exercise variation.
Table A1. Pairwise difference between kinematic measures for each Nordic hamstring exercise variation.
Pairwise Post HocCohen’s d (95% CI)Effect Size Descriptor
Knee angle (°) at break pointIncline vs. Flat0.001 $1.39 (0.14–2.59)Moderate
Incline vs. Decline<0.001 $$2.82 (1.20–4.38)Large
Flat vs. Decline0.002 $1.30 (0.06–2.49)Moderate
Change in knee angle (°)Incline vs. Flat0.6670.29 (−0.81–1.38)Trivial
Incline vs. Decline0.3370.51 (−0.61–1.61)Small
Flat vs. Decline0.7920.22 (−0.88–1.31)Trivial
Knee angle (°) at break point relative to the horizontalIncline vs. Flat0.8010.37 (−0.74–1.46)Small
Incline vs. Decline0.7800.42 (−0.69–1.51)Small
Flat vs. Decline0.9970.04 (1.05–1.13)Trivial
Relative MTU length (%) at break pointIncline vs. Flat0.0900.70 (−0.44–1.81)Small
Incline vs. Decline0.006 $1.14 (−0.07–2.30)Moderate
Flat vs. Decline0.2700.54 (−0.58–1.64)Small
Change in relative MTU length (%)Incline vs. Flat0.9840.06 (−1.03–1.15)Trivial
Incline vs. Decline0.9450.12 (−0.97–1.21)Trivial
Flat vs. Decline0.9910.04 (−1.05–1.13)Trivial
MTU = Muscle-tendon unit, $ = p < 0.05, $$ = p < 0.001.
Table A2. Pairwise differences between in-vivo mechanics measures for each Nordic hamstring exercise variation.
Table A2. Pairwise differences between in-vivo mechanics measures for each Nordic hamstring exercise variation.
Pairwise Post HocCohen’s d (95% CI)Effect Size Descriptor
Starting fascicle length (mm)Incline vs. Flat0.0041.78 (0.44–3.06)Large
Incline vs. Decline0.0003.75 (1.12–5.33)Large
Flat vs. Decline0.0002.12 (1.08–3.11)Large
Shortest fascicle length (mm)Incline vs. Flat0.0071.37 (0.12–2.57)Moderate
Incline vs. Decline0.0012.76 (1.16–4.30)Large
Flat vs. Decline0.0012.27 (0.81–3.68)Large
Fascicle length at break point (mm)Incline vs. Flat0.0012.25 (0.79–3.65)Large
Incline vs. Decline0.0003.74 (1.83–5.60)Large
Flat vs. Decline0.0002.55 (1.01–4.03)Large
Total dynamic change in fascicle length (mm)Incline vs. Flat0.0051.42 (0.16–2.63)Moderate
Incline vs. Decline0.0012.72 (1.13–4.25)Large
Flat vs. Decline0.0051.61 (0.31–2.86)Large
MTU = muscle–tendon unit

References

  1. Bourne, M.N.; Timmins, R.G.; Opar, D.A.; Pizzari, T.; Ruddy, J.D.; Sims, C.; Williams, M.D.; Shield, A.J. An Evidence-Based Framework for Strengthening Exercises to Prevent Hamstring Injury. Sports Med. 2018, 48, 251–267. [Google Scholar] [CrossRef] [PubMed]
  2. Cuthbert, M.; Ripley, N.; McMahon, J.; Evans, M.; Haff, G.G.; Comfort, P. The Effect of Nordic Hamstring Exercise Intervention Volume on Eccentric Strength and Muscle Architecture Adaptations: A Systematic Review and Meta-analyses. Sports Med. 2019, 50, 83–99. [Google Scholar] [CrossRef] [PubMed]
  3. Duhig, S.J.; Bourne, M.N.; Buhmann, R.L.; Williams, M.D.; Minett, G.M.; Roberts, L.A.; Timmins, R.G.; Sims, C.K.E.; Shield, A.J. Effect of concentric and eccentric hamstring training on sprint recovery, strength and muscle architecture in inexperienced athletes. J. Sci. Med. Sport 2019, 22, 769–774. [Google Scholar] [CrossRef] [PubMed]
  4. Pollard, C.; Opar, D.A.; Williams, M.D.; Bourne, M.; Timmins, R. Razor Hamstring Curl and Nordic Hamstring Exercise architectural adaptations: Impact of Exercise Selection and Intensity. Scand. J. Med. Sci. Sports 2019, 29, 706–715. [Google Scholar] [CrossRef] [PubMed]
  5. Raiteri, B.J.; Beller, R.; Hahn, D. Biceps Femoris Long Head Muscle Fascicles Actively Lengthen During the Nordic Hamstring Exercise. Front. Sports Act. Living 2021, 3, 669813. [Google Scholar] [CrossRef]
  6. Van Hooren, B.; Vanwanseele, B.; van Rossom, S.; Teratsias, P.; Willems, P.; Drost, M.; Meijer, K. Muscle forces and fascicle behavior during three hamstring exercises. Scand. J. Med. Sci. Sports 2022, 32, 997–1012. [Google Scholar] [CrossRef]
  7. Ekstrand, J.; Bengtsson, H.; Walden, M.; Davison, M.; Hagglund, M. Still poorly adopted in male professional football: But teams that used the Nordic Hamstring Exercise in team training had fewer hamstring injuries—A retrospective survey of 17 teams of the UEFA Elite Club Injury Study during the 2020–2021 season. Br. Med. J. Open Sport Exerc. Med. 2022, 8, e001368. [Google Scholar] [CrossRef]
  8. Ekstrand, J.; Hallén, A.; Gauffin, H.; Bengtsson, H. Low adoption in women’s professional football: Teams that used the Nordic Hamstring Exercise in the team training had fewer match hamstring injuries. BMJ Open Sport Exerc. Med. 2023, 9, e001523. [Google Scholar] [CrossRef]
  9. Sarabon, N.; Marusič, J.; Marković, G.; Kozinc, Z. Kinematic and electromyographic analysis of variations in Nordic hamstring exercise. PLoS ONE 2019, 14, e0223437. [Google Scholar] [CrossRef]
  10. McKay, A.K.A.; Stellingwerff, T.; Smith, E.S.; Martin, D.T.; Mujika, I.; Goosey-Tolfrey, V.L.; Sheppard, J.M.; Burke, L.M. Defining Training and Performance Caliber: A Participant Classification Framework. Int. J. Sports Physiol. Perform. 2022, 17, 317–331. [Google Scholar] [CrossRef]
  11. Lee Li, C.; Yung, P.; Chan, K. The reliability and validity of a video-based method for assessing hamstring strength in football players. J. Exerc. Sci. Fit. 2017, 15, 18–21. [Google Scholar] [CrossRef] [PubMed]
  12. Sconce, E.; Jones, P.; Turner, E.; Comfort, P.; Graham-Smith, P. The validity of the nordic hamstring lower for a field-based assessment of eccentric hamstring strength. J. Sport Rehabil. 2015, 24, 13–20. [Google Scholar] [CrossRef] [PubMed]
  13. Ripley, N.; Comfort, P.; McMahon, J. Comparison between methods to estimate bicep femoris fascicle length from three estimation equations using a 10 cm ultrasound probe. Meas. Phys. Educ. Exerc. Sci. 2022, 27, 43–50. [Google Scholar] [CrossRef]
  14. Ripley, N.; Comfort, P.; McMahon, J.J. Comparison between Short, Medium, and Long Fields of View in Estimating Bicep Femoris Fascicle Length. Muscles 2024, 3, 153–165. [Google Scholar] [CrossRef]
  15. Hermens, H.J.; Freriks, B.; Disselhorst-Klug, C.; Rau, G. Development of recommendations for SEMG sensors and sensor placement procedures. J. Electromyogr. Kinesiol. 2000, 10, 361–374. [Google Scholar] [CrossRef]
  16. Hawkins, D.; Hull, M.L. A method for determining lower extremity muscle-tendon lengths during flexion/extension movements. J. Biomech. 1990, 23, 487–494. [Google Scholar] [CrossRef]
  17. Farris, D.J.; Lichtwark, G.A. UltraTrack: Software for semi-automated tracking of muscle fascicles in sequences of B-mode ultrasound images. Comput. Methods Programs Biomed. 2016, 128, 111–118. [Google Scholar] [CrossRef]
  18. Van Hooren, B.; Teratsias, P.; Hodson-Tole, E.F. Ultrasound imaging to assess skeletal muscle architecture during movements: A systematic review of methods, reliability, and challenges. J. Appl. Physiol. 2020, 128, 978–999. [Google Scholar] [CrossRef]
  19. Koo, T.K.; Li, M.Y. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J. Chiropratic Mediint 2016, 15, 155–163. [Google Scholar] [CrossRef]
  20. Rhea, M.R. Determining the Magnitude of Treatment Effects in Strength Training Research Through the Use of the Effect Size. J. Strength Cond. Res. 2004, 18, 918–920. [Google Scholar]
  21. Guex, K.; Degache, F.; Morisod, C.; Sailly, M.; Millet, G.P. Hamstring Architectural and Functional Adaptations Following Long vs. Short Muscle Length Eccentric Training. Front. Physiol. 2016, 7, 340. [Google Scholar] [CrossRef] [PubMed]
  22. Franchi, M.V.; Reeves, N.D.; Narici, M.V. Skeletal Muscle Remodeling in Response to Eccentric vs. Concentric Loading: Morphological, Molecular, and Metabolic Adaptations. Front. Physiol. 2017, 8, 447. [Google Scholar] [CrossRef] [PubMed]
  23. Blazevich, A.J.; Cannavan, D.; Coleman, D.R.; Horne, S. Influence of concentric and eccentric resistance training on architectural adaptation in human quadriceps muscles. J. Appl. Physiol. (1985) 2007, 103, 1565–1575. [Google Scholar] [CrossRef]
  24. Schoenfeld, B.J.; Grgic, J. Effects of range of motion on muscle development during resistance training interventions: A systematic review. SAGE Open Med. 2020, 8, 2050312120901559. [Google Scholar] [CrossRef] [PubMed]
  25. Hegyi, A.; Lahti, J.; Giacomo, J.-P.; Gerus, P.; Cronin, N.; Morin, J. Impact of Hip Flexion Angle on Unilateral and Bilateral Nordic Hamstring Exercise Torque and High-Density Electromyography Activity. J. Orthop. Sports Phys. Ther. 2019, 49, 584–592. [Google Scholar] [CrossRef]
  26. Bourne, M.N.; Opar, D.A.; Williams, M.D.; Shield, A.J. Eccentric Knee Flexor Strength and Risk of Hamstring Injuries in Rugby Union: A Prospective Study. Am. J. Sports Med. 2015, 43, 2663–2670. [Google Scholar] [CrossRef]
  27. Shield, A.; Bourne, M. Hamstring Injury Prevention Practices in Elite Sport: Evidence for Eccentric Strength vs. Lumbo-Pelvic Training. Sports Med. 2018, 48, 513–524. [Google Scholar] [CrossRef]
  28. Timmins, R.G.; Bourne, M.N.; Shield, A.J.; Williams, M.D.; Lorenzen, C.; Opar, D.A. Short biceps femoris fascicles and eccentric knee flexor weakness increase the risk of hamstring injury in elite football (soccer): A prospective cohort study. Br. J. Sports Med. 2016, 50, 1524–1535. [Google Scholar] [CrossRef]
  29. Franchi, M.V.; Fitze, D.P.; Raiteri, B.J.; Hahn, D.; Spörri, J. Ultrasound-derived Biceps Femoris Long-Head Fascicle Length: Extrapolation Pitfalls. Med. Sci. Sports Exerc. 2019, 52, 233–243. [Google Scholar] [CrossRef]
  30. Ando, R.; Nosaka, K.; Inami, T.; Tomita, A.; Watanabe, K.; Blazevich, A.J.; Akima, H. Difference in fascicle behaviors between superficial and deep quadriceps muscles during isometric contractions. Muscle Nerve 2016, 53, 797–802. [Google Scholar] [CrossRef]
  31. Ando, R.; Nosaka, K.; Tomita, A.; Watanabe, K.; Blazevich, A.J.; Akima, H. Vastus intermedius vs vastus lateralis fascicle behaviors during maximal concentric and eccentric contractions. Scand. J. Med. Sci. Sports 2018, 28, 1018–1026. [Google Scholar] [CrossRef] [PubMed]
  32. Burden, A. How should we normalize electromyograms obtained from healthy participants? What we have learned from over 25 years of research. J. Electromyogr. Kinesiol. 2010, 20, 1023–1035. [Google Scholar] [CrossRef] [PubMed]
  33. Avrillon, S.; Guilhem, G.; Barthelemy, A.; Hug, F. Coordination of hamstrings is individual specific and is related to motor performance. J. Appl. Physiol. 2018, 125, 1069–1079. [Google Scholar] [CrossRef] [PubMed]
  34. Avrillon, S.; Hug, F.; Guilhem, G. Bilateral differences in hamstring coordination in previously injured elite athletes. J. Appl. Physiol. 2020, 128, 688–697. [Google Scholar] [CrossRef] [PubMed]
  35. Azizi, E.; Deslauriers, A.R. Regional heterogeneity in muscle fiber strain: The role of fiber architecture. Front. Physiol. 2014, 5, 303. [Google Scholar] [CrossRef]
  36. Hegyi, A.; Csala, D.; Peter, A.; Finni, T.; Cronin, N.J. High-density electromyography activity in various hamstring exercises. Scand. J. Med. Sci. Sports 2019, 29, 34–43. [Google Scholar] [CrossRef]
  37. Hegyi, A.; Gonçalves, B.; Finni, T.; Cronin, N. Individual Region- and Muscle-specific Hamstring Activity at Different Running Speeds. Med. Sci. Sports Exerc. 2019, 51, 2274–2285. [Google Scholar] [CrossRef]
  38. Hegyi, A.; Peter, A.; Finni, T.; Cronin, N.J. Region-dependent hamstrings activity in Nordic hamstring exercise and stiff-leg deadlift defined with high-density electromyography. Scand. J. Med. Sci. Sports 2018, 28, 992–1000. [Google Scholar] [CrossRef]
Figure 1. Nordic hamstring exercise variations: flat (0°), decline (−20°) and incline (20°).
Figure 1. Nordic hamstring exercise variations: flat (0°), decline (−20°) and incline (20°).
Muscles 03 00027 g001
Figure 2. Custom-designed cast, housing a 10 cm ultrasound probe.
Figure 2. Custom-designed cast, housing a 10 cm ultrasound probe.
Muscles 03 00027 g002
Figure 3. Individual, mean, interquartile range, minimum, maximum and outliers within box-and-whisker plots for the kinematic measures of knee angle. (A) Knee angle at break point, (B) change in knee angle, (C) knee angle at break point relative to the horizontal.
Figure 3. Individual, mean, interquartile range, minimum, maximum and outliers within box-and-whisker plots for the kinematic measures of knee angle. (A) Knee angle at break point, (B) change in knee angle, (C) knee angle at break point relative to the horizontal.
Muscles 03 00027 g003
Figure 4. Individual absolute fascicle length waveforms with upper- and lower-bound 95% confidence intervals (shaded) between performance angles (INC = incline; DEC = decline).
Figure 4. Individual absolute fascicle length waveforms with upper- and lower-bound 95% confidence intervals (shaded) between performance angles (INC = incline; DEC = decline).
Muscles 03 00027 g004
Figure 5. Individual relative fascicle length waveforms with upper- and lower-bound 95% confidence intervals (shaded) between performance angles.
Figure 5. Individual relative fascicle length waveforms with upper- and lower-bound 95% confidence intervals (shaded) between performance angles.
Muscles 03 00027 g005
Table 1. Descriptive and reliability statistics for kinematic data across NHE variations.
Table 1. Descriptive and reliability statistics for kinematic data across NHE variations.
Mean (SD)CV% (95% CI);
Descriptor
ICC (95% CI);
Descriptor
Knee angle (°) at break pointIncline135.08 (9.22)3.67 (2.26–5.08);
Good
0.877 (0.626–0.975);
Moderate
Flat117.67 (11.87)4.44 (2.73–6.15);
Good
0.965 (0.877–0.993);
Good
Decline98.04 (13.28)4.64 (2.86–6.42);
Good
0.943 (0.809–0.989);
Good
Change in knee angle (°)Incline36.34 (7.02)4.89 (3.01–6.77);
Good
0.787 (0.628–0.955);
Moderate
Flat33.44 (9.87)4.88 (3.00–6.76);
Good
0.908 (0.706–0.982);
Moderate
Decline30.53 (12.65)4.81 (2.96–6.66);
Good
0.951 (0.831–0.991);
Good
Knee angle (°) at break point relative to the horizontalIncline64.98 (9.22)6.39 (3.93–8.85);
Good
0.822 (0.725–0.985);
Moderate
Flat61.27 (11.82)8.80 (5.42–12.18);
Moderate
0.912 (0.857–0.963);
Good
Decline61.94 (13.31)8.60 (5.29–11.91);
Moderate
0.933 (0.849–0.990);
Good
Relative MTU length (%) at break pointIncline100.95 (2.78)5.61 (3.45–7.77);
Good
0.877 (0.626–0.975);
Moderate
Flat98.64 (2.55)6.56 (4.04–9.08);
Good
0.812 (0.477–0.961);
Poor
Decline96.77 (3.39)5.48 (3.37–7.59);
Good
0.809 (0.472–0.960);
Poor
Change in relative MTU length (%)Incline7.73 (0.83)6.45 (3.97–8.93);
Good
0.777 (0.408–0.953);
Poor
Flat7.63 (2.03)7.78 (4.79–10.77);
Moderate
0.814 (0.482–0.961);
Poor
Decline7.52 (2.19)5.29 (3.26–7.32);
Good
0.631 (0.176–0.914);
Poor
MTU—muscle–tendon unit.
Table 2. Descriptive and reliability statistics for electromyography data across NHE variations.
Table 2. Descriptive and reliability statistics for electromyography data across NHE variations.
Mean (SD)CV% (95% CI); DescriptorICC (95% CI); Descriptor
Peak bicep femoris sEMG (μV)Incline413.49 (148.75)6.40 (3.94–8.86); Good0.857 (0.773–0.889); Good
Flat364.70 (124.14)8.85 (5.45–12.25); Moderate0.822 (0.680–0.880); Moderate
Decline324.98 (109.76)7.17 (4.41–9.93); Good0.848 (0.749–0.887); Moderate
Peak semitendinosus sEMG (μV)Incline352.45 (121.87)7.21 (4.44–9.98); Good0.817 (0.669–0.879); Moderate
Flat380.83 (153.72)6.81 (4.19–9.43); Good0.808 (0.646–0.876); Moderate
Decline380.27 (153.89)8.97 (5.52–12.42); Moderate0.830 (0.700–0.882); Moderate
sEMG = electromyography.
Table 3. Absolute and relative between-trial reliability for dynamic ultrasound waveforms and mean and SD absolute FL measurements at the starting position, shortest FL, and FL and break point.
Table 3. Absolute and relative between-trial reliability for dynamic ultrasound waveforms and mean and SD absolute FL measurements at the starting position, shortest FL, and FL and break point.
InclineFlatDecline
ICC (95% CI)
Descriptor
0.677 (0.525–0.709)
Moderate
0.717 (0.646–0.786)
Moderate
0.679 (0.633–0.725)
Moderate
CMC (95% CI)
Descriptor
0.669 (0.638–0.701)
Moderate
0.701 (0.642–0.740)
Moderate
0.672 (0.628–0.715)
Moderate
Starting fascicle length (mm)73.02 ± 0.8771.43 ± 0.9267.12 ± 1.16
Shortest fascicle length (mm)67.89 ± 0.9266.93 ± 0.3764.40 ± 1.53
Fascicle length at break point (mm)73.38 ± 0.9371.63 ± 0.5968.76 ± 1.48
Fascicle length excursion (mm)10.81 ± 1.189.22 ± 1.067.11 ± 1.52
ICC = intraclass correlation coefficient, CMC = coefficient of multiple correlations, CI = confidence intervals, standard error of the measurement.
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

Ripley, N.; Fahey, J.; Comfort, P.; McMahon, J. Kinematic, Neuromuscular and Bicep Femoris In Vivo Mechanics during the Nordic Hamstring Exercise and Variations of the Nordic Hamstring Exercise. Muscles 2024, 3, 310-322. https://doi.org/10.3390/muscles3030027

AMA Style

Ripley N, Fahey J, Comfort P, McMahon J. Kinematic, Neuromuscular and Bicep Femoris In Vivo Mechanics during the Nordic Hamstring Exercise and Variations of the Nordic Hamstring Exercise. Muscles. 2024; 3(3):310-322. https://doi.org/10.3390/muscles3030027

Chicago/Turabian Style

Ripley, Nicholas, Jack Fahey, Paul Comfort, and John McMahon. 2024. "Kinematic, Neuromuscular and Bicep Femoris In Vivo Mechanics during the Nordic Hamstring Exercise and Variations of the Nordic Hamstring Exercise" Muscles 3, no. 3: 310-322. https://doi.org/10.3390/muscles3030027

APA Style

Ripley, N., Fahey, J., Comfort, P., & McMahon, J. (2024). Kinematic, Neuromuscular and Bicep Femoris In Vivo Mechanics during the Nordic Hamstring Exercise and Variations of the Nordic Hamstring Exercise. Muscles, 3(3), 310-322. https://doi.org/10.3390/muscles3030027

Article Metrics

Back to TopTop