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. 2024 Sep 23;14:22000. doi: 10.1038/s41598-024-71585-y

Local and non-local effects (on the posterior chain) of four weeks of foot exercises: a randomized controlled trial

Anna Gabriel 1,, Sarah T Ridge 2, Michael Birth 1, Thomas Horstmann 1, Torsten Pohl 1, Andreas Konrad 3
PMCID: PMC11422494  PMID: 39317709

Abstract

This study investigated the local, remote, and contralateral effects of a four-week intrinsic foot muscle exercise intervention in recreationally active participants on foot parameters, flexibility, and performance of the posterior chain (PC). Twenty-eight healthy participants (12f, 16m) were randomly assigned to a control group or performed 2 × 6 min of foot exercises twice daily unilaterally at least five days/week for four weeks. At baseline (M1), after the intervention (M2), and after a four-week wash-out period (M3), we assessed bilateral Foot Posture Index-6, medial longitudinal arch mobility, single-leg stance balance, range of motion (ROM) (first metatarsophalangeal joint and ankle), and flexibility and performance of the PC. The FPI-6 score changes over time differed significantly between groups for both legs, improving by 26% in the trained- (p < .001) and 11% in the untrained leg (p = .02) in the intervention group from M1 to M2. Improvements were maintained at M3 for the trained leg (p = .02). Ankle range of motion and balance of the trained leg improved from M1 to M2, yet only became significant at M3 (ROM: p = .02; balance: p = .007). The other parameters did not change significantly. A four-week foot exercise intervention might have local but no remote effects in healthy young adults.

German Clinical Trial Register (DRKS00027923) (24/08/2022).

Keywords: Superficial backline, Force transmission, Intrinsic foot muscles, Dorsal chain, Plantar foot sole

Subject terms: Orthopaedics, Randomized controlled trials

Introduction

The intrinsic foot muscles (IFM) play a crucial role in supporting and maintaining the stability of the medial longitudinal arch during movement1,2. The plantar IFM are organized into four layers, with the most superficial layer being functionally connected to the plantar fascia3,4. Dysfunction or weakness of the IFM are associated with an increased risk for foot dysfunctions, like plantar fasciitis, foot deformities, a reduced medial longitudinal arch support or flexibility, and an increased risk of injury510.

For the conservative therapy of foot disorders, or prevention of such, a training program of IFM foot exercises (FE) is recommended11, which commonly consists of the toe spread exercise, short-foot exercise, isolated extension of the hallux, and the lesser toes, and the toe-towel curl4,12. Studies report that FE interventions, ranging from four to 16 weeks, improve medial longitudinal arch mobility, foot posture, balance ability, motor activation, and motor performance, increase toe flexion strength and muscle cross-sectional area, and change foot biomechanics during running in healthy participants and patients with flatfoot1,3,4,1221.

The foot structures and posture have also been discussed to influence remote body areas of the lower extremity and trunk22,23. There is evidence for remote effects on flexibility along the posterior chain (PC) after foam rolling, stretching, or manual technique interventions on the plantar foot sole. The PC was described as comprising the myofascial structures from the plantar foot sole over the dorsal leg to the lower back in accordance with the superficial backline, which—in contrast—continues over the upper back and neck to the posterior head structures2427. Transmission effects along myofascial connection or neurophysiological effects are discussed as a potential mechanism for the findings2831. For active interventions on the plantar foot sole (e.g. minimalist shoe walking or FE), some studies also report remote effects along the PC, which might be due to biomechanical factors (e.g. different walking/running pattern), while other studies do not support these findings3238. Sulowska, et al.38 and Sulowska-Daszyk, et al.36, for example, showed that short foot exercises performed for six weeks also could improve remote flexibility and strength along the PC in runners. It should be noted that in their studies36,38, runners progressed the FE from sitting to standing and performed other strengthening exercises (e.g., Forward lean) in a standing position. Further, participants only did the short foot exercise (not a total bout of FE, including e.g., toe spread exercise), which might also have influenced the results3638. To our knowledge, no studies have investigated the chronic remote effects of a total bout of IFM FE, which only performed in a sitting position and without additional exercises, on the PC in a recreationally active population. Further, there is no evidence on contralateral chronic effects of FE.

Therefore, this study investigates the effect of a four-week FE intervention on foot posture, medial longitudinal arch rigidity, local range of motion (ROM), remote PC flexibility, and PC performance in healthy, recreationally active participants. Furthermore, we investigate potential exercise crossover effects by conducting the intervention unilaterally. In addition, we report observed effects after a four-week wash-out period. We hypothesize that four weeks of FE, impact foot parameters (i.e., posture and medial longitudinal arch mobility), local ROM (i.e., toe and ankle) and remote PC flexibility and performance (i.e., isometric and concentric). We think it is unlikely that these effects can also be seen on the contralateral leg and remain after a four-week wash-out period.

Materials and methods

This two-arm parallel-group blinded randomized controlled trial was conducted in accordance with the ethical principles of the Declaration of Helsinki as part of a larger randomized controlled trial, which is registered in the German Clinical Trial Register (DRKS00027923) and approved by the ethics committee of the Technical University of Munich (2022-114-S-KK). Participants provided written informed consent before the study. The study followed the CONSORT guideline for randomized controlled trials.

Participants

We included 30 healthy participants (14 female, 16 male), who were classified as at least low to moderately active, i.e., walking a weekly average of at least 5000–10,000 steps a day39 (tracked by participants via smartphone app (Accupedo, Corusen, US)).

Participants were not allowed to participate in this study if they were regularly wearing minimalist shoes (MS), were professional athletes, were pregnant, or were in the nursing period. We excluded persons with diagnosed (childhood) foot deformities, pain in the elbow, shoulder, back, leg, or foot area, musculoskeletal injury in the lower extremity or the lower back in the last 12 months, a history of surgery in the lower limb or lower back, self-reported impairment that would affect general motor function, balance, blood circulation, sensitivity or pain sensation.

We estimated the sample size with G*Power (G*Power version 3.1., Heinrich-Heine-University Düsseldorf, Germany) based on the outcome foot posture (FPI-6) and the reported effect sizes (ES) of prior studies on FE interventions for six weeks in runners (standing FE)37 and in patients with pes planus (only short foot exercise)14. We assumed a within-group standard deviation (sd) of 1.5 points and a relevant difference between the groups of 2 points14, translating to an effect size of Cohen’s d = 1.3, converted to Cohen’s f = 0.740 (for ANOVA). For assumed α = 0.05, and β = 0.95, the estimated sample was n = 29, resulting in n = 15 per group. Our sample size appears to be similar to prior FE studies12,37.

Study procedure

We recruited participants in the university setting. After checking the inclusion criteria, the study lead randomly assigned participants to the control and FE group via online random sequence generator41. The examiners were blinded concerning the study group allocation and participants were not told about the other group's intervention during the study.

We took measurements at baseline (M1), after the four-week intervention (M2), and after the four-week wash-out period (M3), which all took place in the laboratory of the Technical University of Munich (Germany). Before each measurement, we instructed participants to avoid strenuous physical activity and excessive consumption of alcohol or stimulants in the 24 h before the test sessions. We provided them with video material to familiarize them with the measurement methods. At M1, the study lead randomly defined either the dominant leg (preferred leg for kicking a ball)42 or the non-dominant leg as the first leg to be measured via an online random sequence generator41. After a five-minute warm-up with an ergometer at 80W at a self-selected speed, all participants went through the testing battery in the same order. After M1, participants of the FE group received verbal and printed instructions on the intervention. During the intervention period, they had access to video instructions via a web-based training software (Lanista, MP Sports, Coaching & Consulting GmbH, Germany), with which they also documented the training process. All measurement sessions were taken at the same time of day and lasted approximately one hour.

Active foot strengthening exercises

While the control group performed no intervention, participants of the FE group were instructed to perform five FE (Fig. 1), which mainly targeted the IFM and were investigated in prior studies1,3,4,12,14,15,1719,38. Participants were asked to perform the FE with a randomly chosen leg (by study lead via online sequence generator41) while barefoot in a sitting position. The exercises were split into two bouts (around 6 min each), performed at different times of day (i.e., Block 1: morning or pre-noon, Block 2: afternoon or evening) and at least five days per week. Each session started with a warm-up (Fig. 1A), the toe-spread-out exercise. After that, participants performed the respective Block of FE according to daytime: Block 1 consisting of the hallux- and lesser toe extension exercises (Fig. 1B); Block 2 consisting of the toe curl (Fig. 1C) and the short foot exercise (Fig. 1D). All exercises were repeated ten times. In exercises B, C, and D, the final position was held for 5 s and repeated for three sets with a 10-s pause.

Fig. 1.

Fig. 1

The foot exercise intervention: Starting with (A) a warm-up sequence, followed by either (B) hallux- and lesser toe extension or (C) the short-foot exercise and (D) toe grip exercise.

After one week, we contacted the participants via telephone to answer any potential uncertainties regarding the intervention and improve training compliance. If participants managed to perform FE and there were no adverse events or negative side effects (i.e., pain), they were asked to increase the training intensity by applying resistance with an elastic band (TheraBand, Ludwig Artzt GmbH, GE). The resistance band (intensity: red) was either put over or under (i.e., extension or flexion) the big toe or the lesser toes, and participants held the band ends in both hands to apply resistance to a maximum so that they were still able to perform the exercise to a full range of motion and the pre-given repetitions. The band was placed under the metatarsophalangeal joint for the short foot exercise. Participants applied tension to the band (with one hand) and conducted the training with the aim of being unable to pull out the band.

Measured outcomes

All outcome parameters were measured on both legs. The quantitative outcome variables were the Foot Posture Index-6 (FPI-6), the Arch Rigidity Index (ARI), balance ability during single-leg stance, ROM of the first metatarsophalangeal joint and the ankle, as well as flexibility and performance of the PC, namely the Bunkie Test, the Standing 90:20 Isometric Posterior Chain Test and the isokinetic, concentric measurement of the hamstrings.

Foot parameters

Foot posture index 6

The FPI-643 includes six items to evaluate the forefoot and the rearfoot components in the three cardinal body planes. The scoring system uses a five-point Likert-scale where lower scores represent a more supinated foot and higher scores represent a more pronated position. For further analysis, we changed the original score (− 2 to 2) to the adapted score (1 to 5)44, where 3 indicates a neutral foot position. Participants were instructed to jump three times and then stand relaxed for the scoring. The same experienced examiner performed all FPI-6 measurements.

Arch rigidity index

The ARI, which measures the structural mobility of the medial longitudinal arch3, is calculated as the standing Arch Height Index divided by the sitting Arch Height Index. The Arch Height Index itself is determined by dividing the height of the dorsum of the foot by the truncated length of the foot11. The ARI is typically measured using a specialized system as described by Mulligan and Cook3 and Tourillon, et al.11. For the sitting Arch Height Index, participants sat with hips and knees at 90° flexion and the subtalar joint in neutral position. The foot was placed on a device, on which the total (calcaneus to tip of longest toe) and truncated (calcaneus to centre of the first metatarsal head) foot length were measured with a fixed cloth tape. The dorsum foot height was measured with a modified carpenter’s square at the 50% mark of the foot length. For the standing Arch Height Index, participants stood on one leg, holding on to a wall for support, and the examiners checked and corrected for any hip abduction.

Balance during single-leg stance

Static balance, as an indirect measurement of IFM function, was quantified by evaluating the center of pressure (CoP) during a single-leg stance. Participants were instructed to stand as still as possible for 30 s on a pressure platform (RSScan, Logemas, AUS), looking straight ahead with the other knee flexed at 60°. Their hands rested on their hips. Data were only recorded in the final 25 s (sampling frequency: 500 Hz), with a 5-s delay at the outset to control for any initial balance irritations. Then, after a 30-s pause, in which participants could walk a few steps, the second leg was tested1,15. The path length in mm and the ellipse area of the CoP in mm2 (as calculated by the software) were included in the statistical analysis. The elliptical area includes all coordinates that are within one standard deviation in the x and y directions around the origin.

Range of motion and flexibility

First metatarsophalangeal joint

To evaluate the MTPJ1 ROM, passive maximum dorsiflexion was quantified using a clinical goniometer (Model 01135, Lafayette Instruments Co., Sagamore, IN, USA). Participants were instructed to perform a reverse lunge with the tested leg moving backward while maintaining hand contact with a wall to provide stability. In the lunge position, the participants were then directed to lift their heel of the rear leg while keeping the MTPJ1 in contact with the floor to induce a passive dorsiflexion45. The angle between the shaft of the first metatarsal bone (movable arm) and the floor (fixed arm) was then measured to the nearest degree45,46. The maximum value of three consecutive trials was recorded.

Ankle joint

Ankle ROM was assessed with the knee-to-wall test47. Participants were instructed to take a lunge position with the test leg in front, positioning the big toe 10 cm away from a wall. A standard tape measure, fixed on the floor perpendicular to the wall, ensured accurate distance. Participants were then instructed to touch the wall with the knee of the tested leg while keeping the heel in contact with the floor. The tape measure also controlled for heel alignment, and an extension of the tape at the wall was used to ensure proper knee alignment, with the participants being instructed to move their patellar to the tape. To further standardize the test and to control for heel lifting, a stretched elastic band (TheraBand, Ludwig Artzt GmbH, GE) was placed under the participants' heels with one end fixed on the ground. If participants could touch the wall with the knee, they progressively placed their foot further away one cm at a time and repeated the lunge until they could not touch the wall with their knee without lifting the heel off the ground. Ankle ROM was quantified as the distance of the big toe from the wall in cm.

Posterior chain

The modified back-saver sit-and-reach test is an alternative to the classical sit-and-reach test, which is commonly applied to assess the flexibility of the hamstring and lower back. We chose this version of the sit-and-reach test as it allows to test one leg at a time, considers leg length discrepancies, and prevents discomfort in the contralateral hip joint48. For the test, participants sat on a bench of approximately 30 cm in height and placed the foot of the tested leg on the standardized sit-and-reach box. The other leg was placed on the floor with knee flexed approximately 90°. They performed three trials per leg, where the best score was used for further analysis.

Performance posterior chain

Standardized Bunkie Test

Participants were instructed to place their forearms on a mat in supine position with the shoulders over the elbows and the heels placed on a box (30 cm), with both legs straightened24,49. They performed a reverse plank by lifting the pelvis to a neutral position, and then raised the contralateral leg about 10 cm off the box to assess one leg. To standardize the testing procedure, the horizontal pelvis position was marked with a rubber band stretched between two fixed bars and the contralateral lifted foot height was marked by a box (height 10 cm, placed directly in front of the feet) according to Gabriel, et al.24 or Gabriel, et al.25. The time of the correctly maintained position was counted with a stopwatch (in s) and indicated the test performance. If participants reported burning, cramping, pain, or strain, or reached the cut-off score of 40 s49, this ended the test. Further, they could end the test due to fatigue. If participants could not maintain the correct test position, the examiner verbally corrected them. They were allowed to correct the position once per body area. Further deviations beyond the first correction also ended the test. After a 30-s pause, the test was repeated for the other leg4952. The same experienced examiner performed all Bunkie Test measurements.

Standing 90:20 isometric posterior chain test

Participants stood with their legs and lower back against a wall and crossed their arms in front of their chest with the hands placed on the shoulders. They were instructed to place one leg (tested leg) with neutral ankle flexion on a force plate (FP4060-10-TM-2000, Bertec, Columbus, Ohio, USA). The force plate rested on a standing desk with adjustable height, which was adjusted so participants were tested in 90° hip flexion and 20° knee flexion position. Before the measurement, joint angle positions were checked with a goniometer and participants were instructed to keep the standing leg extended and in contact with the wall, which was controlled for by the examiner53.

The examiner instructed participants ‘to exert maximal force into the force plate (i.e., to the ground/table)’, and participants were verbally encouraged for 5 s. The right and left legs were tested alternatingly (3 times each) with a 60-s pause in between. The force plate sampling frequency was set to 1000 Hz. Torque values (Nm) were captured with proEMG (prophysics AG, CH) and smoothed with a 20-ms moving average. The average of each limb's vertical maximum torque values was used for further analysis.

Isokinetic measurement of the hamstrings

The knee flexors muscle strength during concentric movement (ROM 5°–90°) was evaluated via isokinetic testing (ISOMED 2000, D & R Ferstl GmbH, CH). Participants were informed about the measurement procedure in advance. Then, they sat on the device and were fixed with straps over the shoulders, across the waist, and over the middle of the thigh, and the dynamometer arm's rotation axis was positioned lateral to the femoral epicondyle. Before each trial, participants completed a test trial with five repetitions at sub-maximal force to familiarize themselves with the movement and speed. The test was performed for five repetitions at 60°/s followed by five at 120°/s with a one-minute pause between, and then repeated for the other leg5457. The angle and torque values (Nm) were captured with proEMG (prophysics AG, CH) at 1000 Hz and processed in Matlab (R2020b, MathWorks, US). For the final analysis, we calculated the average of the maximum flexion peak torque from repetitions two to four (out of five) for both angular speeds.

Statistical analysis

Statistical analysis was performed using the statistical software R (version 3.5.1, R Core Team, AUT)58. Each outcome parameter was calculated separately for trained and non-trained leg. Participants' characteristics and descriptive data of the outcome parameters are presented as mean ± sd. To analyze the respective outcome parameters, we checked the required assumptions and excluded potential outliers. We calculated a linear regression model using the lmer-package59 with the fixed variables group (intervention, control) and measurement (M1, M2, M3) and the random variable participant. Further, we performed a second linear regression analysis evaluating the interaction between group and measurement and compared the two models with a likelihood-ratio test using analysis of variance (ANOVA). We performed the analysis for the trained leg and a randomly allocated leg of the control group and present the same analysis for the untrained leg separately. A p-value of ≤ 0.05 was considered significant.

Results

Participants

After a drop-out of two female participants (1 control group, 1 FE group) due to health reasons, our final sample consisted of 28 participants. The CONSORT study flow diagram is presented in Fig. 2. All participant characteristics variables were normally distributed (all p ≥ 0.05) and are listed in Table 1. Participants of the FE group performed the intervention on (mean ± sd) 5.3 ± 1.4 days per week. There were no self-reported adverse or unwanted side effects (i.e., pain) due to the intervention.

Fig. 2.

Fig. 2

CONSORT study flow diagram.

Table 1.

Participants’ characteristics at baseline.

Variable (mean ± sd) Total n = 28 Active group n = 14 Control n = 14
Age 25.90 ± 4.34 27.20 ± 3.49 24.50 ± 4.80
Weight 71.90 ± 13.80 73.50 ± 14.10 70.20 ± 13.80
Height 176.00 ± 8.74 177.00 ± 9.55 175.00 ± 8.17
Steps/day 8395 ± 2971 7613 ± 3238 9177 ± 2555
(n =)
 Sex 12f./16 m 4f./10 m 8f./6 m
 Dominant leg 8le/20ri 3le/11ri 5le/9ri
 Trained/first measured leg

do:4le/14ri

n-do:7le/3ri

do:2le/9ri

n-do:2le/1ri

do:2le/5ri

n-do:5le/2ri

sd standard deviation, m male, f female, le left, ri right, do dominant leg, n-do non-dominant leg.

Foot parameter

Concerning the FPI-6, for the trained leg, the likelihood-ratio test indicated that the model including the interaction between group and measurement time point provided a better fit for the data than a model without it (χ2(2) = 24.40, p < .001), similar to the untrained leg (χ2(2) = 6.02, p = .05), which means that the FPI-6 score changes between the measurement points are significantly different between groups. For the trained leg, there was a significantly higher decrease of 26% in the FPI-6 score between M1 and M2 for the FE group (β = − 4.77 (standard error (SE) = 0.9)) compared to the control group, where the FPI-6 score stayed the same (24.0 ± 3.8) (t(52) = − 5.27, p < .001)) (Table 2). Also, the change over time from M1 to M3 differed significantly between groups (t(52) = − 2.35, p = .02) with a reduction of around 24% for the FE group (Table 2). For the untrained leg, there was also a decrease from M1 to M2 of about 11%, which differed significantly from the control group (β = − 2.10 (0.88)) (t(52) = − 2.38, p = .02), but not from M1 to M3 (Table 2). The effect plots of the FPI-6 linear regression results are shown in Fig. 3.

Table 2.

Descriptive data of the foot parameters for both groups (foot exercise and control) at all three measurement points.

Variable Measurement Foot exercise (mean ± SD) Control (mean ± SD)
Trained Untrained First tested Second tested
FPI-6 score M1 25.1 ± 2.4 24.5 ± 2.9 24.1 ± 3.8 24.6 ± 3.5
M2 20.8 ± 3.3 21.7 ± 3.1 24.8 ± 3.0 24.1 ± 2.9
M3 21.6 ± 2.8 22.6 ± 3.2 23.0 ± 3.3 23.6 ± 3.4
ARI score M1 0.92 ± 0.05 0.93 ± 0.03 0.92 ± 0.04 0.92 ± 0.04
M2 0.92 ± 0.05 0.94 ± 0.04 0.94 ± 0.04 0.94 ± 0.05
M3 0.93 ± 0.05 0.93 ± 0.04 0.92 ± 0.04 0.92 ± 0.04
CoP path length (mm) M1 449.6 ± 170.8 409.1 ± 196.3 359.4 ± 105.5 348.4 ± 109.2
M2 387.2 ± 132.6 413.8 ± 254.6 348.6 ± 139.1 337.5 ± 124.8
M3 335.8 ± 118.7 363.7 ± 157.9 377.2 ± 161.2 339.5 ± 95.0
CoP EA (mm2) M1 39.6 ± 16.3 47.3 ± 29.1 33.7 ± 12.8 30.4 ± 18.6
M2 44.5 ± 32.9 47.7 ± 30.9 31.0 ± 14.7 43.8 ± 31.0
M3 31.8 ± 10.8 38.5 ± 11.4 42.5 ± 30.0 36.5 ± 23,2

SD standard deviation, FPI-6 Foot Posture Index 6, ARI Arch Rigidity Index, CoP center of pressure, CoP EA CoP ellipse area, M1 measurement point 1 (baseline), M2 measurement point 2 (end of intervention period), M3 measurement point 3 (end of wash-out period).

Fig. 3.

Fig. 3

The effect plots of the linear regression results for the results of (A) the Foot Posture Index-6 for the trained and (B) the contralateral leg, (C) the single leg stance balance, and (D) the range of motion of the ankle. Displayed p-values denote significant differences between groups in the changes between time points. Note the y-axis does not start at 0.

For the ARI, the likelihood-ratio test showed no significant result for the comparison of the model with and without interaction between the group and measurement time point for the trained (χ2(2) = 1.10, p = .58) and the untrained leg (χ2(2) = 0.33, p = .85), which means that there was no significant difference between the groups for changes over time.

The changes of the results over time for the CoP path length and the ellipse area of the CoP differed significantly between groups for the trained leg (CoP path length: χ2(2) = 8.22, p = .02; ellipse area CoP: χ2(2) = 6.03, p = .05), but not the untrained leg (CoP path length: χ2(2) = 1.86, p = 0.40; ellipse area CoP: χ2(2) = 2.57, p = .28). The total linear model with interaction showed a reduction of the CoP path length from M1 to M2 of around 14% in the FE group (β -47.74 (44.00)), though it was not statistically significant (Appendix, Table 1). It only became significant at the reduction in CoP path length from M1 to M3 (around 25%) (β = −  128.16 (45.16)) (t(50) = − 2.84, p = .007). The effect plot of the CoP path length linear regression results is shown in Fig. 3. There were no significant results for the ellipse area of the CoP (Appendix, Table 1).

Descriptive data for the foot parameter are presented in Table 2. The total linear model results with (FPI-6, trained leg CoP path length, and ellipse area) or without interaction (ARI, untrained leg CoP path length, and ellipse area) are listed in the Appendix (Appendix, Table 1).

Range of motion and Flexibility

The comparison of the linear models for the first metatarsophalangeal joint ROM did not show a significant result for either the trained (χ2(2) = 0.54, p = .76) or for the untrained leg (χ2(2) = 1.12, p = .57). The linear model without interaction showed a significant change from M1 to M2 and M3, which did not differ significantly between groups (Appendix, Table 2).

For ankle ROM of the trained leg, the likelihood-ratio test indicated that outcome score changes between the measurement points are significantly different between groups (χ2(2) = 6.74, p = .03), but not for the untrained leg (χ2(2) = 0.81, p = 0.67). For the trained leg, there was an increase of around 15% from M1 to M2 for the FE group (β = 1.32 (0.72)), but the change over time in comparison to the control group was only trending towards significance (t(50) = 1.81, p = 0.08) and only became significant at M3 (β = 1.80 (0.72)) (t(50) = 2.49, p = 0.02). The effect plot of the ankle ROM linear regression results for the trained or first tested leg is shown in Fig. 3.

The comparison of the linear models for the PC flexibility did not show a significant result for either the trained (χ2(2) = 0.93, p = .63) or the untrained leg (χ2(2) = 1.34, p = .51). Descriptive data for the ROM and flexibility parameter are presented in Table 3. The results of the linear models with (ankle ROM) and without interaction (MTPJ 1, ankle ROM, PC flexibility) are listed in the Appendix (Appendix, Table 2).

Table 3.

Descriptive data of the range of motion parameters for both groups (foot exercise and control) at all three measurement points.

Variable Measurement Foot exercise (mean ± SD) Control (mean ± SD)
Trained Untrained First tested Second tested
MTPJ1 (°) M1 99 ± 14 94 ± 16 99 ± 16 98 ± 17
M2 92 ± 14 89 ± 18 95 ± 16 88 ± 16
M3 90 ± 12 89 ± 14 93 ± 15 90 ± 16
Ankle (Ktw) M1 12.4 ± 4.8 13.3 ± 5.1 13.1 ± 3.5 12.5 ± 3.2
M2 14.3 ± 4.6 14.7 ± 4.1 13.2 ± 3.3 12.9 ± 3.5
M3 13.4 ± 4.9 13.0 ± 5.6 12.5 ± 3.3 12.6 ± 3.5
PC (SaR) M1 28.5 ± 9.43 28.5 ± 9.3 33.8 ± 11.5 35.4 ± 11.1
M2 30.4 ± 7.4 29.5 ± 7.5 34.9 ± 9.7 35.8 ± 9.5
M3 29.8 ± 8.2 29.2 ± 8.1 33.7 ± 10.3 34.9 ± 10.4

SD standard deviation, MTPJ1 metatarsophalangeal joint 1, KtW Knee-to-wall test score, PC posterior chain, SaR Sit-and-reach test score; M1, measurement point 1 (baseline), M2 measurement point 2 (end of intervention period), M3 measurement point 3 (end of wash-out period).

Performance posterior chain

The performance PC outcome changes over time did not differ significantly between groups for the trained (Bunkie Test: χ2(2) = 3.30, p = .19; Isometric Posterior Chain Test: χ2(2) = 2.78, p = .25; isokinetic measurement 60°/s: (χ2(2) = 1.24, p = .54; isokinetic measurement 120°/s: χ2(2) = 2.56, p = .28) and the untrained leg (Bunkie Test: χ2(2) = 1.45, p = .49; Isometric Posterior Chain Test: χ2(2) = 3.46, p = .18; isokinetic measurement 60°/s: χ2(2) = 1.65, p = .44; isokinetic measurement 120°/s: χ2(2) = 2.56, p = .28). Descriptive data for the PC performance parameters are presented in Table 4. The results of the linear models without interaction are listed in the Appendix (Appendix, Table 3).

Table 4.

Descriptive data of the strength of the dorsal chain for both groups (foot exercise and control) at all three measurement points.

Variable Measurement Foot exercise (mean ± SD) Control (mean ± SD)
Trained Untrained First tested Second tested
Bunkie Test (s) M1 21.5 ± 13.3 18.9 ± 10.5 15.8 ± 7.6 16.0 ± 7.5
M2 29.8 ± 11.5 23.7 ± 10.4 17.3 ± 8.2 17.1 ± 8.0
M3 30.4 ± 10.3 28.7 ± 9.9 22.8 ± 11.9 22.5 ± 11.2
IPC [N] M1 303.8 ± 77.6 296.1 ± 66.9 275.7 ± 86.5 281.7 ± 80.2
M2 320.6 ± 78.6 300.4 ± 66.6 271.7 ± 87.4 265.7 ± 81.7
M3 331.6 ± 80.1 325.9 ± 63.8 296.8 ± 101.2 287.2 ± 98.1
Hamstrings 60°/s (Nm) M1 103.2 ± 36.0 97.0 ± 31.6 95.1 ± 28.5 89.1 ± 21.8
M2 105.0 ± 37.6 102.2 ± 34.2 90.1 ± 27.3 86.7 ± 25.7
M3 102.6 ± 41.6 98.0 ± 35.4 86.6 ± 23.0 88.7 ± 25.0
Hamstrings 120°/s (Nm) M1 92.2 ± 32.9 87.0 ± 30.9 84.5 ± 23.3 83.3 ± 23.8
M2 96.8 ± 38.2 93.5 ± 33.9 79.6 ± 24.5 80.7 ± 22.6
M3 97.0 ± 41.5 93.7 ± 38.2 82.5 ± 25.0 82.3 ± 25.5

SD standard deviation, IPC Standing 90:20 Isometric Posterior Chain Test, M1 measurement point 1 (baseline), M2 measurement point 2 (end of intervention period), M3 measurement point 3 (end of wash-out period).

Discussion

The results only partly confirm our hypothesis, that four weeks of FE has local and remote effects in the PC and foot parameters. Foot posture improved in both the trained and the untrained leg after the four-week FE intervention, but the changes were only maintained in the trained leg after the four-week wash-out phase. The CoP path length improved after the FE intervention, but the changes only differed significantly from those of the control group after the wash-out phase (M3). Similarly, FE positively affected ankle ROM, but the changes over time compared to the control group only became significant at M3. In this study, we did not observe any further chronic contralateral or remote effects of FE on the PC concerning ROM and performance.

Local effects on the foot

We found an improvement in FPI-6 after four weeks of FE intervention in the trained leg, which was maintained after four weeks without FE. Similar to our study, in a clinical population with pes planus, six weeks of short foot exercises improved FPI-614. Sánchez-Rodríguez, et al.60 also report an improvement in FPI-6 after participation in a more general exercise program (i.e., foot-, leg-, trunk muscles) for eight weeks. In the study by Matias, et al.61, runners also performed eight weeks of training of the foot and ankle muscles20, which improved foot biomechanics during running. Although prior studies report similar results, we do not believe that only four weeks of solely training the IFM changes foot anatomy in a generally healthy population without foot deformities. Further, the crossover effect observed for foot posture was not seen in all other parameters. This leads to the assumption that body awareness concerning foot posture improved, and participants intuitively 'corrected' foot posture during standing.

Interestingly, ankle ROM only improved significantly in the trained leg from M1 to M3 (i.e., only trending towards significance at M2), which could be explained by the chosen statistical analysis method. The analysis compares the magnitude of changes between measurement points between groups, which only became significantly different at M3 (see Fig. 3). Nevertheless, the descriptive data already shows an improvement in ROM from M1 to M2 (Table 3).

The ARI did not change after four weeks of FE. Similar to our study, Lynn, et al.15 found no significant effect of four weeks of IFM training on medial longitudinal arch mobility measured via navicular drop test. In contrast, a five-week program was reported to be beneficial for clinical populations (i.e., flat foot) for medial longitudinal arch mobility1. A longer intervention duration (i.e., eight weeks) might have led to greater medial longitudinal arch mobility changes3,61,62. In their review, de Souza, et al.4 highlight the differences in medial longitudinal arch mobility measurements and methodological weaknesses in prior studies as potential reasons for differences in outcomes.

The single-leg static balance test results are ambiguous. While no effect of FE was found on the CoP ellipse area, participants of the intervention group could reduce the CoP path length, but these changes only differed significantly between groups between M2 and M3. Notably, the results of FE on balance are inconsistent. Kim and Lee63, for example found positive effects of five weeks of short foot exercises on static balance in participants with flat foot but not in healthy participants. Lynn, et al.15 reported improvements in dynamic stability for four weeks of IFM training. Mulligan and Cook3 report positive effects of short foot exercises on both dynamic and static balance, with greater effects on dynamic balance.

A possible, explanation for the results obtained in our study is that the sample we studied could not further reduce body sway, as some postural sway is necessary for effectivemotor control64. Additionally, the improvement in motor control of the IFM during the intervention might have enhanced the somatosensory integration, resulting in more controlled CoP movement within the participant’s natural sway area.

Studies have shown beneficial outcomes for the short foot exercise concerning foot posture14, medial longitudinal arch mobility1,3, and dynamic stability3,15. While IFM muscle activity was measured to be high during the short foot exercise, especially in the abductor hallucis muscle in a study by Jung, et al.18, Kim, et al.65 showed comparably higher IFM activation during toe spread-out FE. Therefore, our intervention consisted of a total bout of FE to increase the training effect for all IFM17. Generally, according to prior studies, clinical populations seem to benefit more from FE than healthy participants1,14,63.

Remote effects along the PC

In contrast to the local effects, little is known about the impact of IFM FE on remote effects. Sulowska, et al.37 reported remote improvements in fundamental movement patterns after six weeks, yet only for the group that performed FE including training of the total leg. Sulowska, et al.38 also investigated six weeks of FE in runners and found increased knee flexor torque at 90°/s. Yet, it must be mentioned that participants also performed standing FE, e.g., reverse tandem gait38. In another study, Sulowska-Daszyk, et al.36 reported improvements in functional muscle tests in the leg and lower back muscles (i.e., piriformis, tensor fasciae latae, adductor muscles, and quadratus lumborum) and fundamental movement patterns, measured via functional movement screen after six weeks of FE (again FE included the total leg)36. These results contrast our study, yet these studies3638 are hardly comparable to this work: the interventions included standing FE, the intervention duration was longer, the outcome measures differed from our study, and two of the studies were performed on runners36,38. Further, participants performed five minutes of foam rolling on the plantar foot sole before the FE36,38, which was shown to acutely and chronically influence remote PC ROM28,29,6670. In another study, Goo, et al.34 found significantly increased remote gluteus maximus muscle activity after training the abductor hallucis muscle and the gluteus maximus muscle for four weeks, but, similar to our study, there was no remote PC effect after training the abductor hallucis muscle alone.

Although the positive acute and remote PC ROM effects after FR, stretching and manual techniques on the plantar foot sole are well investigated28,29,31, there is little evidence for positive chronic effects69. In contrast, Konrad, et al.30 report no effect of a combination of stretching and foam rolling for seven weeks on ROM and strength parameters of the calf muscles. The remote effects of plantar foot sole treatment on performance are not investigated, yet Gabriel, et al.71 report even a negative performance effect of a combined foam rolling, stretching, and manual technique intervention. In contrast, little is known about the remote effects of active interventions, like IFM FE, on the performance and ROM of the PC. While myofascial force transmission effects of neurophysiological changes (i.e. state of arousal, pain/stretch tolerance) are discussed for the remote PC flexibility changes after FR, stretching, and manual technique interventions on the plantar foot sole, the rationale for remote PC effects after FE remains unclear.

Contralateral effects

In contrast to the positive ipsilateral remote effects of foam rolling on the plantar foot sole on the PC28,29, Grabow, et al.72 report that acute contralateral ankle and PC ROM were not affected by a foam rolling intervention on the plantar foot sole. There is, to the authors’ best knowledge, little evidence concerning performance changes in the contralateral leg after interventions on the plantar foot sole73. Gabriel, et al.71 also found no acute performance changes in the PC of the contralateral leg after a combined foam rolling, stretching and manual technique intervention on the plantar foot sole. According to the results of our study, we cannot confirm any chronic contralateral effects resulting from an active intervention targeting the plantar foot structures.

Foot exercise intervention

In prior literature, the duration of FE interventions varies between four to eight weeks1,3,12,1416,19,38, which were comparably more extended training periods than in this study. The training frequency in studies varies between seven12,14,38 and four days per week16, similar to our study. Various studies report that some FE trainings per week were performed under supervision12,14,38. Other FE interventions were completely unsupervised3,15. According to a review by de Souza, et al.4, the training volume in most studies ranges between five and ten seconds of isometric contraction and three to five series for each exercise, which is similar to our research. They also conclude that it is still being determined whether this is the best training protocol and if exercise progression from sitting to standing is the best type of progression4. Jung, et al.18 report higher activation of the abductor hallucis muscle when IFM FE are performed standing compared to sitting, which might explain the higher effects on foot parameters reported in prior studies. Some studies report that the difficulty of the exercises progressed after one12 or two weeks14,15,38, or when subjects felt that they could perform the exercise properly without great exertion3,12. The progression mainly includes changing the exercise position from sitting to standing and/or including different training tools3,12,15,18,38. In our study, we chose the progression of the exercises by adding resistance with an elastic band (TheraBand, Ludwig Artzt GmbH, GE) to guarantee that FE mainly targeted IFM and not the PC muscles.

In general, IFM FE are time-consuming and contain coordinatively demanding elements, which might lower exercise adherence and motivation in participants. Therefore, other interventions, such as walking in minimalist shoes, should be considered as alternative or add-on intervention, as it seems to be similarly effective in increasing IFM size74 and showed similar positive local effects on foot posture and balance for an intervention duration of four weeks33.

Limitations

Compared to prior studies, the duration of the intervention was short, which might have led to a lower magnitude of changes. To guarantee that the IFM are mainly targeted during the FE, FE progression was not implemented by changing position to standing but by adding resistance with an elastic band (TheraBand, Ludwig Artzt GmbH, GE)12, which might have lowered the effect of FE. Further, we would like to point out that the distribution of sexes was not equal between groups in this study.

Conclusion

Our study shows that four weeks of FE might be beneficial for recreationally active young adults as foot posture, balance, and ankle ROM improved. Interestingly, foot posture also improved in the contralateral, non-trained leg. In contrast to prior studies, we did not observe any remote flexibility or performance effects along the PC after active FE targeting the plantar foot. The rationale for remote effects after active FE interventions on the plantar foot sole, reported by prior studies, should be further discussed.

Supplementary Information

Acknowledgements

We would like to thank the students Katharina Fuchs, Nicola Simbeck, Lara Schemm and Korbinian Mayr for the help with the data acquisition. Further, we would like to thank Dominic Rasp, Florian Paternoster, Robert Schleip, Eva Putz, and Bernhard Haller for the expert advice. Our thanks also go to the participants for taking part in the study.

Author contributions

A.G. and A.K. were responsible for the study conceptualization, A.G. and M.B. collected the data, A.G. processed and analyzed the data and prepared the figures, A.G., M.B., A.K., and S.R. wrote the manuscript, T.H. provided the resources, T.H. and A.K. supervised the project; all authors reviewed and edited the manuscript.

Funding

Open Access funding enabled and organized by Projekt DEAL. The study was conducted as part of the PhD project of the study lead and therefore received no additional monetary funding. After the study, all participants received either a free pair of MS (Sneaker, Leguano GmbH, GER) or trekking shoes (Black eagle Adventure, HAIX Schuhe Produktions & Vertriebs GmbH, GER) as a reward, which were sponsored by the named companies. Further, participants got a free elastic band (TheraBand, Ludwig Artzt GmbH, GE) provided by the named company.

Data availability

All data are available upon request from the corresponding author.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-024-71585-y.

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Data Availability Statement

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