Treadmill-Based Locomotor Training with Leg Weights in People with Chronic Stroke
Deivendran Kalirathinam1*,Albin Jerome2, Bhagyashri BhagwanVichare3, NareshBaskar Raj1, Mahadeva Rao US4
1Faculty of Health Sciences, School of Rehabilitation, Universiti Sultan Zainal Abidin, Kuala Nerus,
Kuala Terengganu, Malaysia.
2School of Physiotherapy, Faculty of Allied Health Professions, AIMST University, Semeling, Malaysia.
3Breach Candy Hospital, 60 A, Bhulabhai Desai Road, Mumbai, Maharashtra, India.
4Faculty of Medicine, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia.
*Corresponding Author E-mail: devamptneuro@gmail.com.
ABSTRACT:
BACKGROUND OF STUDY: Novel locomotor training strategies for individuals with disorders of the central nervous system have associated with the improved locomotor function. OBJECTIVES: The goal of this study was to find the effects of treadmill-based locomotor training with leg weights in individuals with chronic stroke. We assessed impairment and gait parameters in functional ambulation persons with chronic stroke. METHODS: We used a Pretest-posttest design. Twenty individuals with chronic stroke who were community ambulatory were recruited. Participants underwent 30-minute treadmill-based locomotor training sessions three times per week for four weeks. The training program involved treadmill walking for 30 minutes with partial body weight support as needed. Leg weights, equivalent to 5% of body weight affixed around the paretic leg. Gait parameters such as cadence, step length, and stride length and the Modified Emory Functional Ambulation Profile (mEFAP) as an outcome measures used. RESULTS: Improvements were more significant in cadence than other gait parameters such as step length and stride length. The more significant improvement was seen in step length than in stride length. In mEFAP, 5.98% improvement was seen showing enhanced the functional ambulatory capacity of participants. In Chedokemcmaster Stroke Assessment Activity Inventory, 4.27% improvement was seen. CONCLUSION: This study demonstrates that treadmill-based locomotor training combined with leg weights could be a feasible approach for improving the ability to perform complex walking tasks, such as stair climbing, in individuals with chronic stroke.
KEYWORDS: Stroke; Weight load; Treadmill; Modified Emory Functional Ambulation Profile.
INTRODUCTION:
As reveal by the American Heart Association, stroke is the primary source of long-term disability [1]. As anybody may expect, the locomotor deficiencies observed following stroke profoundly affect activities of daily functional independence [2] and have been emphatically associated with fall of risk and vitality, and adversely corresponded with participation in the community [3–5]. Thus, there is a research and kinds of literature investigating the systems of fundamental post-stroke mechanism in gait abnormalities and the rehabilitation interventions. Rehabilitation in Treadmill (with or without body-weight support) has created as an intercession that upgrades locomotion speed in unique individuals who suffered by stroke[6-12]. Alternatively, one of the proposed points of interest in treadmill training is that it will inhibit and facilitates a physiologic gait pattern [13-16]. Another advantage of treadmill training is that it permits massed stepping practise [17]. Subsequently, treadmill training may realize horrid, the heightened routine of a more traditional walk outline after stroke. This gait training is helpful for individuals post stroke because they frequently have significant gait deviations. Particular differences like spatiotemporal asymmetry among stance duration, the period of double limb support [18],and stance duration[19]of the paretic and non-paretic limbs[9,20]. Stroke impairment also clearly seen in joint kinematic movement, this hideousness in the sagittal plane diminished knee flexion during the swing and diminished hip extension during terminal stance on the paretic leg[18,19,21].Abnormal kinematics in the frontal plane incorporate limb circumduction and hip hiking on the paretic side during the swing period of gait[19,22,23].
Stroke influences 180 subjects for each 100,000 community in the EC. Rehabilitation of gait is a major consideration for stroke patients to back them for a regular pattern of walking. Three months after stroke, 25% of the surviving subjects remain wheelchair-dependent, and in 50% gait, speed and continuance are extensively reduced [24].Ordinary treatment ideas put their accentuation on tone controlling and gait facilitating manoeuvres accepting an exchange of aptitude securing from one motor task to the next. Gait itself has rehearsed practically nothing, occasionally more than 50 to 100 steps for every session. As anyone might expect, a large result study fails to demonstrate an appropriate change of stride capacity and symmetry in 160 ambulatory subjects taking after four weeks of Bobathtreatment [25].
Gait Training on the treadmill, which facilitates walking on flat land area44, which endorse hemiplegic stroke patients' recovery to enhance their sway and to decrease their gait disturbance [26]. Gait Training in treadmill supporting the body weight has been accounted to improve the symmetry of gait and reduce the ankylosis and empower change that is more viable in stroke patients' walking and locomotor ability on flat land area alone[27]. Furthermore, it has been accounted for to enhance standing balance, as well as to strengthen muscle power, enhance adjust, and empower the motor control in gait patterns to be recently perceived [28]. The weight loaded on patient’s affected lower extremity to analyze the impact of pressure on walking speed, it accounted that in spite of the impact was not huge, and the weight expanded the muscle quality of the flexor muscles and enhanced the toe-off activity [29]. Difficulties with walking can severely affect many activities essential to daily life. In recent years, there will be an extensive research, conducted on the rehabilitation approaches to improve walking in people who have experienced a neurological insult such as stroke [30]. Active rehabilitation strategies to promote the recovery of walking are those that offer specific practice of gait on the principles of the neural control of walking and the capacity for the nervous system to reorganize itself after injury [31]. Treadmill-based locomotor training based on the premise that locomotor output from spinal centres and residual descending pathways will enhance the proper sensory cues during movement. In this way, treadmill-based locomotor training can target appropriate activation of leg muscle activity by maximizing weight-bearing and ensuring proper posture and limb kinematics through the stance phase [32].
Therapists must adjust various contending intrigues while selecting treadmill training for a patient with stroke. Limitations in cardiovascular wellbeing or balance may prevent patients from walking as fast as possible on the treadmill. In addition, speed may lead to undesirable changes in the gait pattern [33]. Consequently, in developing a rationale for the proper selection of fast treadmill training speeds, we sought to characterize the impact of systematic increases in gait speed on common gait deviations and compensations in individuals with stroke [34]. Albeit different studies discussed on treadmill training for improvement of hemiplegic stroke patients' locomotor ability, investigations of incremental weight loading in gait training including a treadmill are inadequate. In this way, this study analyzed the impacts of treadmill-based gait training with progressive weight loading on the affected side lower leg on the change of hemiplegic stroke patients, and to improve functional ambulation of people with chronic stroke and thus to make them independent in the ADL. Given the mast stepping practice that occurs during treadmill training, it is important for therapists to understand how the treadmill training speed selected influences the gait pattern that is practice on the treadmill.
METHODOLOGY:
Individuals with chronic stroke, more than six months old duration was recruited from the community to participate in this study. Written informed consent was taken from each participant. Each participant was assessed with the Chedoke McMaster Stroke Assessment Activity inventory and Impairment inventory for the leg and foot, which has been shown to be a reliable and valid tool to assess physical impairment after stroke. This assessment rates the degree of physical impairment in the paretic foot and leg on a scale ranging from 1 (flaccid paralysis) to 7 (normal movement pattern).
TRAINING PROTOCOL:
Treadmill speed of each training session was set to the maximum tolerated by the participant while ensuring maintenance of erect posture throughout the gait cycle (i.e. the legs do not lag behind the rest of the body).Leg weights were attached to the mid shank in all participants. The weights were secured using Velcro straps. The amount of added weight was 5% of body weight. Only the paretic leg was loaded. None of the participants required body weight support to produce proper stance limb kinematics during walking. Training occurred three times per week for four weeks. During each session, participants completed 30 minutes of walking. Participants were encouraged to walk erect by holding onto the handrails. Rest breaks were provided as needed, but participants had to complete 30 minutes of walking per session. The Borg rating of perceived exertion, a 15-point scale of perceived level of effort and vital parameters were monitored throughout the training.
Outcome Measures:
1. Gait parameters such as cadence, step length and stride length.
2. The Modified Emory Functional Ambulation Profile (mEFAP) was used as a measure of functional ambulatory capacity. This is a test that measures the time required to complete five different walking tasks: 1)Walking on a smooth floor surface for 5 meters; 2)Walking on a low-pile foam for 5 meters; 3)Rising from chair, walking 3 meters and returning to sit in the chair (Timed Up and Go); 4)Obstacle avoidance; and 5)Stair climbing (five steps up and down).The use of assistive devices and the level of manual assistance are also recorded. The time required to complete each subtask was recorded. The five subscores are then summed to provide a total score. The mEFAP has been shown to be a valid and reliable measure of functional ambulation after stroke. All measures were recorded within one week before the start of training (Pre) and within five days of training completion (Post).
DATA ANALYSIS AND RESULTS:
The step cycle duration was defined by the time between consecutive foot contacts. The swing phase duration was defined by the time between toe-off and subsequent foot contact and expressed as a percentage of step cycle duration. This variable was figured for both the paretic and non-paretic sides.
TABLE 1: Changes in Cadence.
|
Pre Training Cadence |
Post Training Cadence |
|
|
Mean |
76.05 |
83.15 |
|
Standard Deviation |
6.56 |
7.17 |
|
Standard Error of Mean |
1.47 |
1.6 |
|
Sample Size |
20 |
20 |
Statistical Significance:
The two-tailed ‘P’ value is less than 0.0001. By conventional criteria, this difference is considered to be extremely statistically significant at 95% confidence interval.
TABLE 2: Changes in Step length
|
|
Pre Training Step length |
Post Training Step length |
|
Mean |
58.725 |
62.665 |
|
Standard Deviation |
6.572 |
6.329 |
|
Standard Error of Mean |
1.469 |
1.415 |
|
Sample size |
20 |
20 |
Statistical Significance:
The two-tailed ‘P’ value is less than 0.0001. By conventional criteria, this difference is considered to be extremely statistically significant at 95% confidence interval.
TABLE 3: Changes in Stride length
|
|
Pre Training Stride length |
Post Training Stride length |
|
Mean |
116.135 |
122.435 |
|
Standard Deviation |
11.053 |
11.071 |
|
Standard Error of Mean |
2.472 |
2.475 |
|
Sample size |
20 |
20 |
Statistical Significance:
The two-tailed ‘P’ value is less than 0.0001. By conventional criteria, this difference is considered to be extremely statistically significant at 95% confidence interval.
TABLE 4: Changes in mEFAP score
|
|
Pre Training mEFAP |
Post Training mEFAP |
|
Mean |
78.415 |
73.72 |
|
Standard Deviation |
6.58 |
7.336 |
|
Standard Error of Mean |
1.471 |
1.64 |
|
Sample size |
20 |
20 |
Statistical Significance:
The two-tailed ‘P’ value is less than 0.0001. By conventional criteria, this difference is considered to be extremely statistically significant at 95% confidence interval.
TABLE 5: Changes in CMSA Activity Inventory score
|
|
Pre CMSA Activity Inventory |
Post CMSA Activity Inventory |
|
Mean |
92.95 |
97.1 |
|
Standard Deviation |
2.52 |
3.31 |
|
Standard Error of Mean |
0.56 |
0.74 |
|
Sample size |
20 |
20 |
Statistical Significance:
The two-tailed ‘P’ value is less than 0.0001. By conventional criteria, this difference is considered to be extremely statistically significant at 95% confidence interval.
|
|
Percentage change |
|
Cadence |
8.53 |
|
Step length |
6.28 |
|
Stride length |
5.14 |
|
Modified Emory Functional Ambulation Profile |
5.98 |
|
Chedoke McMaster Stroke Assessment Activity Inventory |
4.27 |
In this study, more significant improvement was seen in cadence than other gait parameters such as step length and stride length. More significant improvement was seen in step length than in stride length. In Modified Emory Functional Ambulation Profile, 5.98% improvement was seen showing enhanced functional ambulatory capacity of participants. In Chedoke McMaster Stroke Assessment Activity Inventory, 4.27% improvement was seen.
DISCUSSION:
This study examined the effect of a treadmill-based locomotor training protocol using leg weights on functional ambulatory capacity. Although the sample size of this study is small, the results indicate that treadmill-based locomotor training with leg weights is feasible and could be an effective strategy to improve functional ambulation in people with chronic stroke. Most of the participants who were regularly attending training showed an improvement in functional gait parameters, such as cadence, step length, and stride length. This study not only demonstrates that six weeks of an aerobically based treadmill training program improves global indices of gait function in chronic stroke but also begins to assess elemental spatial and temporal contributions to increased gait velocity. It differs from shorter duration interventions that use a treadmill with partial body-weight support because it emphasizes the level of aerobic intensity and the massed practice accrued over six weeks. We do not know whether similar gains could be made with less training. In this study, we provided a more challenging training environment by affixing weights, scaled to body weight, around participants’ lower leg. The amount of added weight around the leg was standardized at 5% of body weight, and it is based on the relationship between added weight and level of flexor muscle activation during the swing[35].All the participants underwent more intensive treadmill-based locomotor training with leg weights for four weeks, three times per week. It is possible that this may not have provided enough of training effect to significantly improve walking speed, stair climbing or obstacle crossing ability. The strategy of loading the flexor muscles by using leg weights was based on the concept that feedback during the swing phase can positively enhance ongoing flexor muscle activity[36-37]Sensory feedback mediated by spinal reflex pathways from length- and load-sensitive afferents in flexor muscle have an excitatory effect on ongoing flexor muscle activity. Rapid feedback-mediated facilitation occurs in lower limb flexor muscles after mechanical swing phase perturbations in adult humans [31-35]. With repeated exposure to mechanical swing phase perturbations (e.g. leg weights), participants developed anticipatory locomotor commands [37-43]. During initial training sessions, participants had difficulties while walking on the treadmill with leg weights. Few participants were not able to coordinate with treadmill belt on the first training session. For the purpose of the comfort of the participant, during the first week of training, treadmill speed was set to the minimum tolerated by the participant [38]. Few participants had a fear of fall in the first training session. Few participants used to stop in between while walking because of fatigue or leg pain by pressing rest breaks provided in treadmill but used to complete 30 minutes of walking; while others used to complete 30 minutes of walking without taking any halt [41]. The treadmill speed was increased gradually during program and was set to the maximum tolerated by each participant. Vital parameters were monitored during each session and were within normal range [37]. The Borg rating of perceived exertion, a 15-point self-report scale of perceived level of effort, was followed throughout the training and the median ratings of somewhat hard to all participants. Participants were encouraged while walking on a treadmill by instructing them for increasing their hip and knee flexion during swing phase throughout the training. Interestingly, most of our participants made a habit of walking around the gym at the end of each training session [39]. They stated that they enjoyed the light feeling in their legs and that it seemed to be easier to walk after the weights were removed. The disparity in the number of training sessions between participants arose from a variety of situations, such as scheduling and transportation difficulties (2 participants).Despite the difference in the number of training sessions, we did not find a relationship between any training effects and the duration of training [40-43]. In most participants, we observed increased hip and knee flexion during the swing phase of gait cycle indicating that training with leg weights could have positively affected swing phase activity. However, we found significant improvements in gait parameters in most of the participants who were regularly attending training sessions. Improved step length following treadmill-based locomotor training is due to enhancing cortical excitability and representation of the tibialis anterior muscle. All the participants showed improvement in cadence (t=6.5997, P<0.0001), step length (t=6.9465, P<0.0001), and stride length <t=5.5476, P<0.0001).All participants showed improvement in Modified Emory Functional Ambulation Profile (t=11.2258, P<0.0001).Stair climbing is noted to be the most difficult mobility task among most of the participants. We did not observe a consistent improvement in the Modified Emory Functional Ambulation Profile sub score for obstacle crossing. Reduced toe clearance and diminished knee flexion during the swing phase were observed as contributing factors to the difficulties with obstacle crossing in most participants. The gait parameters obtained in this study are similar to those published in cross-sectional studies reporting gait characteristics of subjects with post-stroke hemi paresis Stride length accounted for nearly two-thirds and cadence one-third, of the increased velocity seen in this study. Increased stride length is due to increases in bilateral step lengths. Both paretic and non-paretic step lengths demonstrated a clinically significant gain of nearly 5 cm. These spatial improvements, seen after Treadmill-based locomotor training program may be more beneficial than the hypothesized improvements in the temporal variable, cadence. The increased step lengths in both legs suggest improved paretic limb function. Changes in the paretic leg may allow increased propulsion, which leads to increased nonparetic step length. Conversely, increased paretic step length may be due to an increased range of motion in the paretic leg joints that allows the limb to swing farther forward. In addition to stride length, cadence increased. Increased cadence is due to decreases in bilateral step times. The global increase in gait velocity without improvements in symmetry suggests that compensatory strategies are retained and amplified. Further biomechanical studies are needed to evaluate the underlying mechanism. We did not conduct a kinematic analysis of any task and therefore could have missed other qualities that might have improved, such as clearance height over the obstacles. Further studies need to determine whether the effects of this form of treadmill-based locomotor training with leg weights generalize to biomechanical improvements in gait characteristics during tasks such as obstacle crossing or stair climbing. This protocol was otherwise found to be safe and feasible with median Borg ratings of somewhat hard across all participants. To conclude, this study demonstrates that treadmill-based locomotor training combined with leg weights could be a feasible approach for improving the ability to perform complex walking tasks, such as stair climbing, in individuals with chronic stroke.
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Received on 25.04.2017 Modified on 12.05.2017
Accepted on 23.05.2017 © RJPT All right reserved
Research J. Pharm. and Tech. 2017; 10(5): 1485-1490.
DOI: 10.5958/0974-360X.2017.00262.1