Literature DB >> 25540514

Relationship between Postural Sway and Dynamic Balance in Stroke Patients.

Kihun Cho1, Kyoungsuk Lee2, Byungjoon Lee2, Hwangjae Lee2, Wanhee Lee2.   

Abstract

[Purpose] The purpose of the current study was to investigate the relationship between postural sway and dynamic balance in post stroke patients. [Subjects] Thirty-one stroke patients (20 men and 11 women; age 64.25 years; stroke duration 12.70 months; MMSE-K score 26.35) participated in this study. [Methods] This study applied a cross-sectional design. A Good Balance system was used for measurement of the postural sway velocity (anteroposterior and mediolateral) and velocity moment of subjects under the eyes open and eyes closed conditions in a standing posture. The postural sway of subjects was measured under two surface conditions (stable and unstable surfaces).
[Results] On the unstable surface (foam), no significant correlation was observed between postural sway and dynamic balance except for the berg balance scale (BBS) score and anteroposterior postural sway velocity under the eyes open condition, anteroposterior postural sway velocity under the eyes closed condition, and postural sway velocity moment. In addition, in the stable condition, no significant correlation was observed between postural sway and dynamic balance.
[Conclusion] Our results indicate that a decrease in postural sway does not necessarily reflect improvement of dynamic balance ability. We believe that this finding may be useful in balance rehabilitation for prevention of falls after a stroke.

Entities:  

Keywords:  Dynamic balance; Postural sway; Stroke

Year:  2014        PMID: 25540514      PMCID: PMC4273074          DOI: 10.1589/jpts.26.1989

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


INTRODUCTIONS

Postural control is essential in performance of independent activities of daily living in stroke patients1). Postural control is defined as the ability to maintain the center of mass (COM) within the base of support with minimal postural sway, and the sensory systems (visual, somatosensory, and vestibular systems), cognitive processing, and movement strategies are needed for maintenance of postural control2). In general, postural control can be classified according to static and dynamic postural control3). Therefore, evaluation of postural control should be considered for both aspects of static and dynamic postural control. In the clinic or hospital setting, the Berg Balance Scale (BBS) and Timed Up and Go test (TUG) are used mainly for evaluation of dynamic postural control4, 5), and measurement of postural sway using a force platform is commonly used for evaluation of static postural control6). Postural sway is the movement of the COM in a standing position2). A force platform system can provide quantifying data for postural control of subjects by measuring the postural sway7). Previous studies reported an association of increased in postural sway with aging8). In addition, Lajoie et al.9) reported an association of increased postural sway with reduction of dynamic balance ability. On the other hand, some studies reported that an increase in postural sway is not necessarily an indication of poor dynamic balance ability but simply indicates static balance ability10, 11). Thus, the question of whether or not postural sway is associated with dynamic balance is still debatable. The purpose of the current study was to gain a more comprehensive understanding of the relationship between postural sway and dynamic balance in post stroke patients.

SUBJECTS AND METHODS

This study applied a cross-sectional design. Thirty-one stroke patients were recruited on a voluntary basis from an inpatient hospital. Subjects were included if (1) they had a diagnosis of stroke (cerebral cortex lesion: ischemic brain injury or intracerebral hemorrhage) based on magnetic resonance imaging or computed tomography, (2) they were able to understand and follow simple verbal instructions (Korean version of the mini-mental state examination score > 24), (3) they had no known musculoskeletal conditions that would affect the ability to stand safely; and (4) they had no serious visual impairment or hearing disorder. The exclusion criteria were (1) participation in another study or rehabilitation program, (2) severe heart disease or uncontrolled hypertension and pain, and (3) any neurologic or orthopedic disease that might interfere with the study. All subjects participated in conventional rehabilitation programs consisting of physical and occupational therapy during hospitalization. Three of the 34 potential subjects were excluded because they met the exclusion criteria (participation in another study or uncontrolled hypertension). Ultimately, 31 subjects (20 men and 11 women; age 64.25 years; stroke duration 12.70 months; MMSE-K score 26.35) were included in this study. The subjects were briefed on the experimental procedure, and written consent forms were collected from all subjects prior to conduct of the experiment; the subjects voluntarily signed informed consent forms. Human subject ethical approval was obtained from the relevant committee of the Sahmyook University institutional review board prior to conduct of the experiment. A Good Balance system (Good Balance system, Metitur, Oy, Jyvaskyla, Finland) was used for measurement of postural sway velocity and velocity moment of subjects in the standing posture. According to a previous study, the Good Balance system has adequate reliability for research and clinical use in stroke patients11). On the basis of the coordinate values for x and y, the following parameters were calculated: (1) mean speed of movement of the center of pressure (COP) in the anteroposterior (AP) direction (mm/s); (2) mean speed of movement of the COP in the mediolateral (ML) direction (mm/s), and (3) mean velocity moment (mm2/s). Postural sway velocity moment is defined as the average horizontal area covered by movement of the center (AP and ML direction) of force per second. The force platform, which was an equilateral triangle (800 mm), was connected to a three-channel DC amplifier. Signals from the amplifier were converted into digital form using a 12-byte converter (sampling frequency=50 Hz) and stored on the hard disk of a personal computer. For measurement of postural sway under the stable surface condition, subjects stood on the force plate with their legs spread at shoulder width and then looked at a number on a monitor three times for 30 seconds. For measurement of postural sway under the unstable surface condition, a subject stood on the force plate, which was covered with foam, with their legs spread at shoulder width and then looked at a number on a monitor three times for 30 seconds11). Three repeats of each measurement were performed, and the average was used in the statistical analysis. A rest period of three minutes was provided between measurements. The following instruction was communicated to the subjects in order to ask them to move their bodies as little as possible: “Please try your best to stand without swaying.” The Berg Balance Scale (BBS) and Timed Up and Go test (TUG) were used for measurement of dynamic balance ability. The BBS is a valid and reliable instrument for measurement of both the static and dynamic aspects of balance in elderly people after a stroke4). The TUG is measured as the time (seconds) required for performance of the following: stand up from a chair, walk 3 m at a normal walking speed, turn around, walk back to the chair, and sit back down on the chair. Use of assistive devices was permitted when necessary5). All measurements, including postural sway and dynamic balance (BBS and TUG), were performed while the patients were in a rehabilitation ward, and the assessor was blinded. The SPSS ver. 12.0 statistical software was used for all analyses. Descriptive statistics were used to describe patient characteristics after confirming normality. Descriptive statistics were used to describe patient characteristics. Correlations between postural sway under stable and unstable conditions and dynamic balance abilities (BBS and TUG) were assessed using Pearson’s correlational coefficient. A significance level of 0.05 was set for all analyses.

RESULTS

General characteristics and data concerning postural sway and dynamic balance ability of the subjects are summarized in Table 1.
Table 1.

General characteristics and dependent variables of the subjects (N=31)

VariablesM±SD (%)
Gender
Male/female (%)20/11 (64.5/35.5)
Paretic side
Right/left (%)25/6 (80.6/19.4)
Etiology
Infarction/hemorrhage (%)18/13 (58.1/41.9)
Age (years)64.2±4.8
Height (cm)165.3±6.2
Mass (kg)63.5±7.5
Post stroke duration (months)12.7±2.5
MMSE-K (score)26.3±2.2
Stable condition
AP-PSV(EO) (mm/s)7.1±2.4
ML-PSV(EO) (mm/s)10.8±3.4
PSVM(EO) (mm2)33.0±24.8
AP-PSV(EC) (mm/s)9.2±5.1
ML-PSV(EC) (mm/s)17.0±8.6
PSVM(EC) (mm2)58.6±64.1
Unstable condition
AP-PSV(EO) (mm/s)11.5±4.6
ML-PSV(EO) (mm/s)16.5±6.6
PSVM(EO) (mm2)71.8±38.2
AP-PSV(EC) (mm/s)20.6±11.8
ML-PSV(EC) (mm/s)41.2±43.6
PSVM(EC) (mm2)222.6±173.7
Dynamic balance
BBS (score)41.4±5.2
TUG (sec)21.7±4.1

Values are expressed as numbers (%) or means±SD.

MMSE-K: Korean version of the mini mental state examination. EO, eyes open; EC, eyes closed; AP-PSV, anteroposterior postural sway velocity; ML-PSV, mediolateral postural sway velocity; PSVM, postural sway velocity moment; BBS, Berg Balance Scale; TUG, Timed Up and Go test.

Values are expressed as numbers (%) or means±SD. MMSE-K: Korean version of the mini mental state examination. EO, eyes open; EC, eyes closed; AP-PSV, anteroposterior postural sway velocity; ML-PSV, mediolateral postural sway velocity; PSVM, postural sway velocity moment; BBS, Berg Balance Scale; TUG, Timed Up and Go test. The correlations between postural sway and dynamic balance in the stable and unstable conditions are summarized in Table 2. On the unstable surface (foam), no significant correlation was observed between postural sway and dynamic balance except for the BBS score and anteroposterior postural sway velocity in the eyes open condition (r=−0.46, p<0.01), anteroposterior postural sway velocity in the eyes closed condition (r=−0.42, p<0.05), and postural sway velocity moment (r=−0.50, p<0.01). However, in the stable condition, no significant correlation was observed between postural sway and dynamic balance.
Table 2.

Correlation between postural sway and dynamic balance (N=31)

AP-PSV (EO)mm/sML-PSV (EO)mm/sPSVM (EO)mm2AP-PSV (EC)mm/sML-PSV (EC)mm/sPSVM (EC)mm2
Stable conditionBBS (score)−0.24−0.100.20−0.14−0.110.07
TUG (sec)0.10−0.01−0.21−0.06−0.07−0.24
Unstable conditionBBS (score)−0.46**−0.060.20−0.42*−0.23−0.50**
TUG (sec)0.33−0.080.080.160.050.32

PSVM, postural sway velocity moment; AP-PSV, anteroposterior postural sway velocity; ML-PSV, mediolateral postural sway velocity; BBS, Berg Balance Scale; TUG: Timed Up and Go test; EO, eyes open; EC, eyes closed. *p<0.05, **p<0.01

PSVM, postural sway velocity moment; AP-PSV, anteroposterior postural sway velocity; ML-PSV, mediolateral postural sway velocity; BBS, Berg Balance Scale; TUG: Timed Up and Go test; EO, eyes open; EC, eyes closed. *p<0.05, **p<0.01

DISCUSSION

The current study was conducted in order to investigate the relationship between postural sway and dynamic balance in post stroke patients. According to our main findings, no significant correlation was observed between postural sway and dynamic balance except between the BBS score and anteroposterior postural sway velocity in the eyes open condition, anteroposterior postural sway velocity in the eyes closed condition, and postural sway velocity moment on the unstable surface (foam). In addition, in the stable condition, no significant correlation was observed between postural sway and dynamic balance. Postural control is defined as a complex skill involving interaction with sensory and motor systems, and postural control is essential and inevitable to maintenance of independent activities of daily living in stroke patients12, 13). Humans are swayed in several directions for maintenance of standing balance within the base of support, and a force platform is commonly used in assessment of postural sway14, 15). Through many previous studies3, 16, 17), increases in postural sway have been shown to be associated with a reduction in balnace ability and weight trasfer and to lead to an increased incidence of falls. Chisholm et al.18) reported an association of decreases in postural sway with functional movement. In addition, Niam et al.19) reported negative correlation of postural sway with dynamic balance (BBS) in stroke patients. In contrast, our findings showed no significant correlation between postural sway and dynamic balance. According to previous studies investigating dynamic balance and postural sway10, 20), postural sway does not always mean poor balance. Increases in postural sway may not be associated with maintenance of dynamic postural stability. In stroke patients with damage to the central nervous system, body movements are made as they attempt to control their posture in the standing position and as they try to maintain their center of mass21). Thus, the results of our study indicate that a decrease in postural sway does not necessarily reflect improvement of dynamic balance ability. We believe that this finding may be useful in balance rehabilitation for prevention of falls after stroke. This study had some limitations. According to previous studies22, 23), many factors can affect postural sway including the vestibular, somatosensory, and visual systems. In particular, postural control can be affected through fatigue in the musculature surrounding the ankles, knees, and hip24, 25). However, these factors were not investigated in this study. Thus, conduct of additional studies will be needed in order to fully understand the relation between postural sway and dynamic balance ability.
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Journal:  Arch Phys Med Rehabil       Date:  1999-10       Impact factor: 3.966

2.  Postural balance and physical activity in daily life (PADL) in physically independent older adults with different levels of aerobic exercise capacity.

Authors:  Daniela Hayashi; Cristiane G Gonçalves; Rodolfo B Parreira; Karen B P Fernandes; Denilson C Teixeira; Rubens A Silva; Vanessa S Probst
Journal:  Arch Gerontol Geriatr       Date:  2012-05-10       Impact factor: 3.250

3.  Standing balance training: effect on balance and locomotion in hemiparetic adults.

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Journal:  Arch Phys Med Rehabil       Date:  1989-10       Impact factor: 3.966

4.  The timed up & go test: its reliability and association with lower-limb impairments and locomotor capacities in people with chronic stroke.

Authors:  Shamay S Ng; Christina W Hui-Chan
Journal:  Arch Phys Med Rehabil       Date:  2005-08       Impact factor: 3.966

Review 5.  Balance retraining after stroke using force platform biofeedback.

Authors:  D S Nichols
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Review 6.  Balance control in hemiparetic stroke patients: main tools for evaluation.

Authors:  Clarissa Barros de Oliveira; Italo Roberto Torres de Medeiros; Norberto Anizio Ferreira Frota; Mário Edvin Greters; Adriana B Conforto
Journal:  J Rehabil Res Dev       Date:  2008

7.  Aging and posture control: changes in sensory organization and muscular coordination.

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8.  Postural balance and its sensory-motor correlates in 75-year-old men and women: a cross-national comparative study.

Authors:  P Era; M Schroll; H Ytting; I Gause-Nilsson; E Heikkinen; B Steen
Journal:  J Gerontol A Biol Sci Med Sci       Date:  1996-03       Impact factor: 6.053

9.  Sex differences in the postural sway characteristics of young and elderly subjects during quiet natural standing.

Authors:  Ji-Won Kim; Gwang-Moon Eom; Chul-Seung Kim; Da-Hye Kim; Jae-Ho Lee; Byung Kyu Park; Junghwa Hong
Journal:  Geriatr Gerontol Int       Date:  2010-01-19       Impact factor: 2.730

10.  Reliability of the good balance system(®) for postural sway measurement in poststroke patients.

Authors:  Hyungeun Ha; Kihun Cho; Wanhee Lee
Journal:  J Phys Ther Sci       Date:  2014-02-06
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1.  The effects of ankle joint strategy exercises with and without visual feedback on the dynamic balance of stroke patients.

Authors:  Si-Nae Jeon; Jung-Hyun Choi
Journal:  J Phys Ther Sci       Date:  2015-08-21

2.  A study on balance assessment according to the levels of difficulty in postural control.

Authors:  Dong-Won Kang; Jeong-Woo Seo; Dae-Hyeok Kim; Seung-Tae Yang; Jin-Seung Choi; Gye-Rae Tack
Journal:  J Phys Ther Sci       Date:  2016-06-28

3.  A study on the reliability of measuring dynamic balance ability using a smartphone.

Authors:  Seulki Han; Daehee Lee; Sangyong Lee
Journal:  J Phys Ther Sci       Date:  2016-09-29

4.  Reliability and validity of a novel Kinect-based software program for measuring posture, balance and side-bending.

Authors:  Wilhelmus Johannes Andreas Grooten; Lisa Sandberg; John Ressman; Nicolas Diamantoglou; Elin Johansson; Eva Rasmussen-Barr
Journal:  BMC Musculoskelet Disord       Date:  2018-01-08       Impact factor: 2.362

5.  The effects of the menstrual cycle on the static balance in healthy young women.

Authors:  Byung Joon Lee; Ki Hun Cho; Wan Hee Lee
Journal:  J Phys Ther Sci       Date:  2017-11-24

6.  Effects of (music-based) rhythmic auditory cueing training on gait and posture post-stroke: A systematic review & dose-response meta-analysis.

Authors:  Shashank Ghai; Ishan Ghai
Journal:  Sci Rep       Date:  2019-02-18       Impact factor: 4.379

7.  Effectiveness of LiuZiJue Qigong versus traditional core stability training for poststroke patients complicated with abnormal trunk postural control: study protocol for a single-center randomized controlled trial.

Authors:  Chen Wang; Long Yu; Jian Yang; Ren Wei Wang; Ya Nan Zheng; Ying Zhang
Journal:  Trials       Date:  2020-03-12       Impact factor: 2.279

8.  Evaluation of Postural Sway in Post-stroke Patients by Dynamic Time Warping Clustering.

Authors:  Dongdong Li; Kohei Kaminishi; Ryosuke Chiba; Kaoru Takakusaki; Masahiko Mukaino; Jun Ota
Journal:  Front Hum Neurosci       Date:  2021-12-03       Impact factor: 3.169

9.  Maze Control Training on Kinesthetic Awareness in Patients with Stroke: A Randomized Controlled Trial.

Authors:  Hanan Hosny M Battesha; Amir N Wadee; Marian M Shafeek; Ahmed M Tawfick; Hoda M Ibrahim
Journal:  Rehabil Res Pract       Date:  2022-02-24

10.  Estimating the sensorimotor components of cybersickness.

Authors:  Séamas Weech; Jessy Parokaran Varghese; Michael Barnett-Cowan
Journal:  J Neurophysiol       Date:  2018-07-25       Impact factor: 2.714

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