Literature DB >> 25540488

Relationships of stroke patients' gait parameters with fear of falling.

Jin Park1, Ingyu Yoo2.   

Abstract

[Purpose] The purpose of this study was to assess the correlation of gait parameters with fear of falling in stroke survivors. [Subjects] In total, 12 patients with stroke participated. [Methods] The subjects performed on a Biodex Gait Trainer 2 for 5 min to evaluate characteristic gait parameters. The kinematic gait parameters measured were gait speed, step cycle, step length, and time on each foot (step symmetry). All the subjects also completed a fall anxiety survey.
[Results] Correlations between gait parameters and fear of falling scores were calculated. There was a moderate degree of correlation between fear of falling scores and the step cycle item of gait parameters. [Conclusions] According to our results, the step cycle gait parameter may be related to increased fall anxiety.

Entities:  

Keywords:  Fall anxiety; Gait parameter; Stroke

Year:  2014        PMID: 25540488      PMCID: PMC4273048          DOI: 10.1589/jpts.26.1883

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


INTRODUCTION

About 60% of stroke patients experience posture and balance problems during gait1). Generally, they prefer to use the less affected side than the affected side for weight-bearing load during gait. This can lead to an asymmetric body posture, and the development of abnormal weight shifting in gait1). These conditions can limit the motion of stroke patients, and increase their risk of falls2). When stroke patients return to their homes, about 56% of them experience falls within 2 months3). Such falls can lead to the development of secondary impairments and disability in the nervous system and orthopedic problems. According to a previous study, stroke patients may have problems with the quality of their gait cycle (e.g., gait speed, poor endurance, reduced quality, and adaptability in walking patterns, and coordination of the legs)4). Also, these conditions cause deceleration control to increase, while acceleration control decreases during gait. Again, this can be lead to increased compensatory movements and asymmetric gait patterns4, 5). Consequently, these gait problems can result in balance impairment, and then falls. Previous studies have demonstrated that stroke patients have increased fear or anxiety during gait, and a high level of anxiety increases the risk of depression. These symptoms can lead to a reduced quality of life6). Many studies have demonstrated a relationship between falls and quality of life, even though they did not compare gait parameters with psychological aspects, such as fall anxiety. Thus, in this study, we investigated the gait parameters and fear and anxiety of stroke patients.

SUBJECTS AND METHODS

Twelve patients with stroke (mean age: 50.75±11.07 years; five females, seven males) participated in this study. All the participants provided their written informed consent before entering this pilot study. The inclusion criteria were a history of only one documented stroke event, no orthopedic disease, a Mini-Mental State Examination score above 25, and the ability to walk more than 10 m without a cane. The Biodex Gait Trainer 2 is a device which is used to assess and train the walking performance of patients with neurologic gait dysfunction. It consists of a treadmill with an instrumented deck that monitors and records kinematic gait parameters including gait speed, step cycle, step length, and time on each foot (step symmetry). Surveys have been developed to assess fear of falling. The simplest assessments of fear of falling are single questions. Lachman et al.7) developed the “Survey of Activities and Fear of Falling in the Elderly” (SAFE) measure that assesses fear of falling and also provides an index of activity avoidance due to fear. Responses use a four-point Likert scale (1 = not at all sure to 4 = very sure). Gait analysis was performed on the Biodex Gait Trainer 2 for 5 min. Characteristic gait parameters, including differences between the affected and unaffected sides, were assessed. All subjects walked on the Gait Trainer treadmill at a speed of 3 km/h wearing normal shoes. Before the experiment, they received instructions concerning the test procedure and walked for 3 min as a warm up and to adapt to the step speed and equipment. We told the subjects that they should try to maintain a comfortable gait speed, continuously. We measured gait parameters while subjects walked on the equipment. All participants underwent a fall anxiety assessment. SPSS software (ver. 22.0; SPSS Inc., Chicago, IL, USA) was used to analyze correlations between gait parameters and fear of falling. Comparisons of correlations between gait parameters and fear of falling were assessed using Spearman’s rank correlation test. A p value < 0.05 was considered to indicate statistical significance.

RESULTS

Correlation between gait parameters and fear of falling scores were calculated. A moderate degree of correlation between fear of falling score and the step cycle item of gait parameters was found (p < 0.05). No other gait parameter showed a significant degree of correlation with the fear of falling score (p > 0.05) (Table 1).
Table 1.

Correlation of gait parameters and fall anxiety (N=12)

Gait parameters

Gait speedStep cycleStep length(affected)Step length(unaffected)Time on each foot(affected)Time on each foot(unaffected)
SAFE−0.432−0.581*−0.112−0.070−0.2890.289

DISCUSSION

Many stroke patients feel a sense of loss over problems of gait ability. Indeed, gait disability can limit the independent living of stroke patients8). Many stroke survivors have a hard time maintaining their balance due to decreased weight shifting ability and stability8). A previous study found that gait patterns of stroke patients are slow and require excessive effort, and the patients showed uncoordinated movements in both legs1). It has also been demonstrated that gait speed is related to the ability to maintain balance. Patients with balance impairment show increased feet support time, and reduction in gait speed is a risk for falls, increasing anxiety9). Our study confirmed the possibility that certain gait parameters are associated with increased fear and anxiety. We found a moderate degree of correlation between the fear of falling score and the step cycle. A previous study demonstrated that the slow gait speed phenomenon was related to a decrease in cadence and a shortened stride length. Moreover, compared with healthy people, stroke patients show decreased cadence and increased gait cycles, which lead to an increased double-stance phase and stance phase of the unaffected side leg4). Indeed, our study showed that a decreased step cycle was associated with fear of falling scores, indicating that a decreased step cycle leads to increased fear of falling during gait. It can be demonstrated that asymmetrical limb support slows the step cycle10, 11). We hypothesize that one cause of this is the development of abnormal weight shifting in the step cycle, which makes subjects feel uneasy about falling10, 11). Generally, the step cycle is considered to be a temporal gait parameter10, 11). Thus, we suggest that temporal parameters are likely to be more closely related to falling anxiety than spatial gait parameters. Moreover, problems with functional independence skills affect the quality of life of stroke patients. Mence12) indicated that people with stroke could feel joy just by walking in the street. Thus, enhancing gait ability is an important means of improving the lives of stroke patients.
  11 in total

1.  Relationship between step length asymmetry and walking performance in subjects with chronic hemiparesis.

Authors:  Chitralakshmi K Balasubramanian; Mark G Bowden; Richard R Neptune; Steven A Kautz
Journal:  Arch Phys Med Rehabil       Date:  2007-01       Impact factor: 3.966

2.  Fear of falling and activity restriction: the survey of activities and fear of falling in the elderly (SAFE).

Authors:  M E Lachman; J Howland; S Tennstedt; A Jette; S Assmann; E W Peterson
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  1998-01       Impact factor: 4.077

Review 3.  Gait training in hemiplegia.

Authors:  K-H Mauritz
Journal:  Eur J Neurol       Date:  2002-05       Impact factor: 6.089

4.  Falls and injury prevention should be part of every stroke rehabilitation plan.

Authors:  S F H Mackintosh; K Hill; K J Dodd; P Goldie; E Culham
Journal:  Clin Rehabil       Date:  2005-06       Impact factor: 3.477

5.  Anterior-posterior ground reaction forces as a measure of paretic leg contribution in hemiparetic walking.

Authors:  Mark G Bowden; Chitralakshmi K Balasubramanian; Richard R Neptune; Steven A Kautz
Journal:  Stroke       Date:  2006-02-02       Impact factor: 7.914

6.  Associations of demographic, functional, and behavioral characteristics with activity-related fear of falling among older adults transitioning to frailty.

Authors:  R W Kressig; S L Wolf; R W Sattin; M O'Grady; A Greenspan; A Curns; M Kutner
Journal:  J Am Geriatr Soc       Date:  2001-11       Impact factor: 5.562

7.  Modified emory functional ambulation profile: an outcome measure for the rehabilitation of poststroke gait dysfunction.

Authors:  H R Baer; S L Wolf
Journal:  Stroke       Date:  2001-04       Impact factor: 7.914

8.  Leg orientation as a clinical sign for pusher syndrome.

Authors:  Leif Johannsen; Doris Broetz; Hans-Otto Karnath
Journal:  BMC Neurol       Date:  2006-08-23       Impact factor: 2.474

9.  A comparison of gait characteristics in the elderly people, people with knee pain, and people who are walker dependent people.

Authors:  In-Hee Lee; Sang-Young Park
Journal:  J Phys Ther Sci       Date:  2013-09-20

10.  Weight bearing asymmetry and functional ambulation performance in stroke survivors.

Authors:  B O A Adegoke; O Olaniyi; C O Akosile
Journal:  Glob J Health Sci       Date:  2012-02-29
View more
  7 in total

1.  Walking test procedures influence speed measurements in individuals with chronic stroke.

Authors:  Brice T Cleland; Arianna Perez-Ortiz; Sangeetha Madhavan
Journal:  Clin Biomech (Bristol, Avon)       Date:  2020-10-10       Impact factor: 2.063

2.  Concurrent validity of the GAITRite electronic walkway and the 10-m walk test for measurement of walking speed after stroke.

Authors:  Brice T Cleland; Haris Arshad; Sangeetha Madhavan
Journal:  Gait Posture       Date:  2018-12-26       Impact factor: 2.840

3.  Spatiotemporal and Kinematic Parameters Relating to Oriented Gait and Turn Performance in Patients with Chronic Stroke.

Authors:  Céline Bonnyaud; Didier Pradon; Nicolas Vuillerme; Djamel Bensmail; Nicolas Roche
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

4.  Sustained effects of once-a-week gait training with hybrid assistive limb for rehabilitation in chronic stroke: case study.

Authors:  Takahiko Yoshimoto; Issei Shimizu; Yasuhiro Hiroi
Journal:  J Phys Ther Sci       Date:  2016-09-29

5.  The effects of Pilates exercise training on static and dynamic balance in chronic stroke patients: a randomized controlled trial.

Authors:  Hee Sung Lim; You Lim Kim; Suk Min Lee
Journal:  J Phys Ther Sci       Date:  2016-06-28

6.  The Effectiveness of Additional Core Stability Exercises in Improving Dynamic Sitting Balance, Gait and Functional Rehabilitation for Subacute Stroke Patients (CORE-Trial): Study Protocol for a Randomized Controlled Trial.

Authors:  Rosa Cabanas-Valdés; Lídia Boix-Sala; Montserrat Grau-Pellicer; Juan Antonio Guzmán-Bernal; Fernanda Maria Caballero-Gómez; Gerard Urrútia
Journal:  Int J Environ Res Public Health       Date:  2021-06-19       Impact factor: 3.390

7.  Biomechanical Correlates of Falls Risk in Gait Impaired Stroke Survivors.

Authors:  Hanatsu Nagano; Catherine M Said; Lisa James; William A Sparrow; Rezaul Begg
Journal:  Front Physiol       Date:  2022-03-07       Impact factor: 4.566

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.