Literature DB >> 28174474

Effects of modified Pilates on variability of inter-joint coordination during walking in the elderly.

Sukhoon Yoon1, Joo Nyeon Kim2, Hee Sung Lim2.   

Abstract

[Purpose] This study aimed to examine the effects of an 8-week modified Pilates program on the variability of inter-joint coordination in the elderly during walking.
[Subjects and Methods] Twenty elderly participants with no recent history of orthopedic abnormalities (age, 67.9 ± 2.7 years; height, 163.7 ± 8.9 cm; weight, 67.1 ± 11.6 kg) were recruited for this study and randomly allocated to a modified Pilates exercise group or a control group. Three-dimensional motion analysis was performed on both groups to evaluate the effects of the Pilates exercise.
[Results] There was no significant difference in the joint variability of the ankle, knee, and hip joints between the groups, both before training and after training. However, there was a significant increase in the hip-knee deviation phase value in the exercise group after the program was completed, and this increase was also significant when compared with that in the control group.
[Conclusion] This study has demonstrated that an 8-week modified Pilates exercise program can have a positive impact on the gait of elderly participants, potentially by enhancing neuromuscular adjustment, which may have positive implications for reducing their fall risk.

Entities:  

Keywords:  Elderly gait; Inter-joint coordinate variability; Pilates exercise

Year:  2016        PMID: 28174474      PMCID: PMC5276783          DOI: 10.1589/jpts.28.3463

Source DB:  PubMed          Journal:  J Phys Ther Sci        ISSN: 0915-5287


INTRODUCTION

Pilates exercise is for making neutral spine position and involves various muscle exercises for improving muscular strength, endurance, and flexibility. It is known that the Pilates exercise has a positive effect on daily life, as it enhances balance and walking capabilities1,2,3,4,5). Since it can aid in the development of deep muscles such as the erector spinae, transverse abdominis, and internal oblique muscles, it has been frequently used as a rehabilitation exercise for stabilizing the spine and reducing back pain6, 7). Recently, many researchers have utilized a modified form of Pilates exercise involving props for rehabilitation in the elderly and in patients with chronic stroke8,9,10,11). It has been reported that this modified Pilates exercise is safe compared with ordinary Pilates exercise. The proper level of exercise can also be adjusted as required8,9,10,11). Therefore, it can be useful for those with poor physical function and limited mobility, particularly as it can be done daily at home without the added difficulty of having to visit a rehabilitation center. Bird and Fell12) reported that Pilates exercise with props enhanced both the knee extensor and the ankle dorsiflexor muscles in elderly participants. Other researchers have also reported that the improvement of muscular strength, muscle endurance, and flexibility in the trunk and the lower extremities resulting from performing Pilates exercise can enhance static/dynamic balance, which is required for gait in daily life and in particular, it has a positive effect on reducing the fall risk factors2, 3, 13,14,15,16). The decrease in walking ability due to reduced lower limb neuromuscular function is an important cause of falls in the elderly. With falls being a major cause of mortality in the elderly, and up to one-third of the elderly population experiencing at least one fall each year17, 18), development of exercises and rehabilitation programs for the elderly could be an important preventive measure for reducing the incidence of falls. Winter19) described gait as a dynamic process for performing movements through high-level proprioceptive sense, neuromuscular adjustment, and coordination among body segments and joints. In other words, even if lower limb muscular strength is improved, poor coordination between segments can affect the ability to walk efficiently. He also reported that excessive variability in walking or improper coordination between segments and joints can also result in gait imbalance and falls. Thus far, many gait-related studies in the elderly have used gait parameters or joint kinematics in designing interventions to prevent potential falls. It is, however, difficult to confirm enhancement in neuromuscular adjustment or coordination with these variables. Therefore, previous studies that examined the walking ability of elderly participants who had undergone rehabilitative Pilates exercise programs could not provide insight into the fundamental mechanism of falls or gait imbalance. Inter-joint coordination is a method of investigating the coordination of two adjacent joints during walking. It is calculated through continuous relative phase (CRP) as the phase plane formed based on angle and angular velocity20). Many researchers report that inter-joint coordination controls the body’s center of mass and can be expressed as the ability to maintain dynamic balance20,21,22). Unlike the traditional end-point variability, which refers to the changes in each segment or joint movement, the variability of inter-joint coordination indicates the variation in the pattern of performed movements. Accordingly, the changes in the variability of inter-joint coordination are represented as inherent properties of neuromuscular control, which determines the risk of injuries such as falls23). Therefore, the purpose of this study was to examine the effects of an 8-week modified Pilates exercise program on the variability of inter-joint coordination in the gait of elderly participants.

SUBJECTS AND METHODS

Twenty elderly participants were recruited for this study (Table 1). None of the participants had a history of orthopedic abnormalities within the past year. The selected participants were randomized into two groups of equal size—the Pilates exercise training group (TG) and the control group (CG). During the intervention period, the TG participated in Pilates exercise training and received regular treatment at a disabled rehabilitation center, while the CG received only regular treatment at the disabled rehabilitation center.
Table 1.

General characteristics of the subjects (n=20)

Training group (n=10)Control group (n=10)
Gender5 males / 5 females7 males / 3 females
Age (years)67.6 (2.4)68.1 (2.9)
Body mass (kg)66.3 (11.3)68.0 (12.0)
Height (cm)162.5 (8.6)164.9 (9.2)

Values are group means (standard deviation).

Values are group means (standard deviation). The study protocol was approved by the university’s institutional review board prior to study commencement. The Pilates exercise used in this study was a mat-based Pilates program. To ensure that elderly participants could perform the exercise adequately, the intensity was modified, and additional props such as balls, magic rings, and resistance bands were used. The program was conducted by two licensed Pilates instructors three times a week for 8 weeks. Each session lasted 60 minutes and comprised a warm-up exercise, the main exercise, and a cooldown exercise. Eight sets were performed for each movement in this Pilates training. For improving core muscles stability, breathing exercises were conducted in a sitting posture before and after all training sessions. The mat-based Pilates training program was composed of spine mobility exercise, upper limb exercise, and lower limb strengthening exercise; the detailed movements for each part of the program were as follows: 1) for spine mobility exercise chin up and down and seated forward and side spine stretches with a TheraBand; 2) for upper limb exercise, draw a sword and seated detoid lifts with a TheraBand; and 3) for lower limb strengthening exercise, side-lying top- and bottom-leg pulse-downs with a magic circle and seated foot and ankle strengtheners with a TheraBand. Of note, unlike general mat-based Pilates training, the lower limb strengthening exercise included in this program helps to strengthen the quadriceps, gluteus medius, adductor magnus, gastrocnemius, and anterior tibialis. A 3-D gait motion analysis with 8 infrared cameras was performed before and after the exercise period. Before the experiment, the cameras were set around a 10 m gait path for sufficient tracking redundancy and were calibrated using the nonlinear transformation method. To identify lower limb movement and calculate inter-joint coordination variability during walking, 16 reflective markers were attached to the lower body of the subjects. Bilateral markers were placed on the iliac crest, posterior superior iliac spine, and greater trochanter. Additional markers were placed on the sacrum, left lateral femoral epicondyles, lateral malleolus, heel, 3rd metatarsal, and 5th metatarsal. Finally, two markers were placed on the left lateral thigh and shank. After sufficient warm-up, each subject was asked to walk on the 10 m gait path at his or her preferred walking speed. Subjects’ gait trials were captured into the host computer with 8 infrared cameras (Oqus 300, Sweden) and five strides from the middle of the gait path were recorded. Gait was captured at a sampling rate of 100 Hz, and to reduce the random error from electronic devices, a Butterworth 4th order low-pass filter was used at a cutoff frequency of 6 Hz. To obtain the CRP, the angle and angular velocity of lower extremity joints were calculated. These variables were interpolated 100% such that 1% represented each moment of the gait24). Thereafter, to remove the differences in amplitude and frequency among joints and to prevent the loss of data when the angular velocity was 0, the following two formulae were used to normalize the angle and angular velocity from 1 to +125, 26). where, θand ω represent the normalized angle and angular velocity at ith sample, respectively. Max and min represent max and min values during the analysis phase, respectively. After setting the phase plane formed based on the normalized angle (θ) and angular velocity (ω), the phase angle (Ø) of each joint within the range of 0–180° was calculated using the right horizontal axis as the origin. The two segments to be checked for inter-joint coordination (i.e., the thigh and shank) were then selected, and the difference between the phase angles of the proximal and distal joints in each segment were used to calculate the CRP (Ø, Ø). CRP =│Ø - Ø│ Finally, inter-joint coordination variability was evaluated by using the deviation phase (DP), which was a mean value of the standard deviation calculated from each data point of the CRP. To evaluate the variability in single-joint coordination, an identical method was used to calculate variability of angles of the ankle joint, knee joint, and hip joint in terms of the mean standard deviation. To verify the effects of the Pilates exercise on the variability of inter-joint coordination in each subject’s lower extremities, 2-way ANOVA with repeated measure was used. Bonferroni correction was used as a post hoc test, as required. For all tests in this study, statistical significance was set at α=0.05.

RESULTS

There was a significant increase in the hip-knee DP value for the TG after the Pilates training had been completed. This increase was also significant when compared with that in the CG (Table 1, p<0.05). However, there was no significant difference in the knee-ankle DP value (Table 2, p>0.05).
Table 2.

Variability of inter-joint coordination of the training and control groups between exercise periods

Mean ± SD

TG (n=10)CG (n=10)
Hip-Knee DP (°)Pre12.51 ± 3.0912.26 ± 4.06
Post20.01 ± 7.34 ab11.66 ± 6.61
Knee-Ankle DP (°)Pre23.26 ± 13.2524.22 ± 13.88
Post24.77 ± 5.9125.53 ± 12.19

TG: modified Pilates training group; CG: control group. Values are shown as the group mean ± standard deviation. aSignificant difference between before and after Pilates training. bSignificant difference between groups (p<0.05).

TG: modified Pilates training group; CG: control group. Values are shown as the group mean ± standard deviation. aSignificant difference between before and after Pilates training. bSignificant difference between groups (p<0.05). There was no significant difference in the joint variability of the ankle, knee, and hip joints between the TG and CG, either before or after the intervention period (Table 3, p>0.05).
Table 3.

Variability of lower extremity joint angular positions of the training and control groups between exercise periods

Mean ± SD

TG (n=10)CG (n=10)
Hip SD (°)Pre1.30 ± 0.281.50 ± 0.75
Post1.47 ± 0.601.50 ± 0.80
Knee SD (°)Pre1.94 ± 0.422.12 ± 1.15
Post2.24 ± 0.682.14 ± 1.53
Ankle SD (°)Pre1.08 ± 0.201.20 ± 0.51
Post1.33 ± 0.241.25 ± 0.38

TG: modified Pilates training group; CG: control group

TG: modified Pilates training group; CG: control group

DISCUSSION

This study examined the influence of a modified Pilates training program on changes in the variability of inter-joint coordination during walking in elderly participants. The traditional concept of variability starts from “end-point variability.” According to this concept, low variability indicates a stable performance while performing motions aimed at achieving certain movements. Arutyunyan et al.27) and Hausdorff28) reported that the gait of healthy adults tends to demonstrate lower variability than that of the elderly, and this is also true of performance of higher-level athletes compared to lower-level athletes. Accordingly, research on biomechanics and motor control has used this variability as a marker of performance level29, 30). Unlike the variability described above, in the dynamic system theory, coordinative variability is considered diverse coordination patterns that appear while performing tasks rather than essentially good or bad of the performance31, 32), or is considered to present the adaptability required for adjusting movements22, 33). Generally, increased coordinative variability is interpreted as enhanced adjustment of coordination patterns required for adapting to new movement patterns or maintaining particular movements25, 34). On the other hand, decreased coordinative variability can explain the causes of injuries or diseases that occur when the decrease in coordinative variability reaches a decisive point22, 33). Arutyunyan et al.27) reported that the performance of higher-level athletes indicates low variability and high coordinative variability compared with that of lower-level athletes and that this signifies that higher coordinative variability allows diverse coordination patterns among segments or joints for achieving particular movements. In addition, Seay et al.34) emphasized the connection between the diversity of coordination patterns and risk of injuries in their report, as their “no injury history” group showed the highest coordinative variability, followed by their “injury history” group and then their “current injury” group. In this study, there was no significant difference in lower extremity joint variability between the intervention and control groups (Table 3, p>0.05), but significantly increased hip-knee coordinative variability was found in the TG compared with the CG (Table 1, p<0.05). Our results are consistent with previous studies on inter-joint coordination for preventing and reducing the risk of falls during walking in elderly participants35, 36). These studies also reported that elderly participants had significantly reduced hip-knee coordinative variability compared with that of healthy adults and that the higher the hip-knee coordinative variability, the more neuromuscular control strategies were shown during walking. In our study, the Pilates exercise group revealed an increase in hip-knee coordinative variability, while joint variability remained unchanged. This may be because the Pilates exercise developed the deep muscles, which may have helped to improve the flexibility of the pelvis and hip joints1,2,3,4, 7). This also suggests that more diverse coordination patterns are gained while maintaining the variability of the joint angular position. In conclusion, our study has demonstrated that an 8-week modified Pilates exercise program can have a positive impact on the gait of elderly participants, potentially by enhancing neuromuscular adjustment, which may have positive implications for reducing their fall risk.
  31 in total

1.  Nonlinear dynamics indicates aging affects variability during gait.

Authors:  Ugo H Buzzi; Nicholas Stergiou; Max J Kurz; Patricia A Hageman; Jack Heidel
Journal:  Clin Biomech (Bristol, Avon)       Date:  2003-06       Impact factor: 2.063

2.  Foot trajectory in human gait: a precise and multifactorial motor control task.

Authors:  D A Winter
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Review 3.  Falls in older people: epidemiology, risk factors and strategies for prevention.

Authors:  Laurence Z Rubenstein
Journal:  Age Ageing       Date:  2006-09       Impact factor: 10.668

Review 4.  Gait dynamics, fractals and falls: finding meaning in the stride-to-stride fluctuations of human walking.

Authors:  Jeffrey M Hausdorff
Journal:  Hum Mov Sci       Date:  2007-07-05       Impact factor: 2.161

Review 5.  Posture and movement: coordination and control.

Authors:  F Lacquaniti; C Maioli; N A Borghese; L Bianchi
Journal:  Arch Ital Biol       Date:  1997-09       Impact factor: 1.000

6.  Gender differences in lower extremity coupling variability during an unanticipated cutting maneuver.

Authors:  Christine D Pollard; Bryan C Heiderscheit; Richard E A van Emmerik; Joseph Hamill
Journal:  J Appl Biomech       Date:  2005-05       Impact factor: 1.833

7.  A theoretical model of phase transitions in human hand movements.

Authors:  H Haken; J A Kelso; H Bunz
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

8.  Pilates for improvement of muscle endurance, flexibility, balance, and posture.

Authors:  June A Kloubec
Journal:  J Strength Cond Res       Date:  2010-03       Impact factor: 3.775

9.  Efficacy of the addition of modified Pilates exercises to a minimal intervention in patients with chronic low back pain: a randomized controlled trial.

Authors:  Gisela C Miyamoto; Leonardo Oliveira Pena Costa; Thalissa Galvanin; Cristina Maria Nunes Cabral
Journal:  Phys Ther       Date:  2012-10-11

10.  Integrating pilates exercise into an exercise program for 65+ year-old women to reduce falls.

Authors:  Gonul Babayigit Irez; Recep Ali Ozdemir; Ruya Evin; Salih Gokhan Irez; Feza Korkusuz
Journal:  J Sports Sci Med       Date:  2011-03-01       Impact factor: 2.988

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Review 1.  Benefits of Pilates in the Elderly Population: A Systematic Review and Meta-Analysis.

Authors:  Mário José Pereira; Rodrigo Mendes; Rui Sousa Mendes; Fernando Martins; Ricardo Gomes; José Gama; Gonçalo Dias; Maria António Castro
Journal:  Eur J Investig Health Psychol Educ       Date:  2022-02-22
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