Mini-Balance Evaluation Systems Test Research Articles

The association of interlimb coordination and temporal symmetry with walking function and motor impairment after stroke.

Interlimb coordination during walking is impaired after stroke, with unknown effects on walking function. This cross-sectional study determined associations of interlimb coordination and temporal symmetry with walking function and motor impairment. During walking, participants wore wireless sensors to detect heel strikes. We calculated interlimb coordination as the phase coordination index and temporal symmetry as the ratio of contralesional (i.e., paretic) to ipsilesional (i.e., non-paretic) stance times. Associations with walking speed (10-meter walk test), walking endurance (6-minute walk test), dynamic balance (Mini Balance Evaluation Systems Test), and motor impairment (Fugl Meyer Lower Extremity assessment) were assessed. 56 individuals with chronic stroke were tested. Worse interlimb coordination was correlated with slower comfortable (R = -0.38, p = 0.004) and maximal (R = -0.36, p = 0.006) walking speed and worse motor function (R = -0.45, p = 0.001). Worse temporal symmetry was correlated with worse motor function (R = 0.39, p = 0.004). Interlimb coordination had stronger associations than temporal symmetry with comfortable (R: -0.38 vs. 0.08) and maximal walking speeds (R: -0.36 vs. 0.12). Poor interlimb coordination was associated with slow walking and motor impairment and had stronger associations with walking speeds than temporal symmetry did. Interlimb coordination may provide unique insights into walking function and a target for walking rehabilitation after stroke.

Improvement of gait and balance function in chronic post-stroke patients induced by Lower Extremity – Constraint Induced Movement Therapy: a randomized controlled clinical trial

ABSTRACT Objective To evaluate the effects of Lower Extremity – Constraint Induced Movement Therapy on gait function and balance in chronic hemiparetic patients. Methods Randomized, controlled, single-blinded study. We recruited chronic post stroke patients and allocated them to Lower Extremity – Constraint Induced Movement Tharapy (LE-CIMT) or Control Group. The LE-CIMT group received this protocol 2.5 hour/day for 15 followed days, including: 1) intensive supervised training, 2) use of shaping as a strategy for motor training, and 3) application of a transfer package. The control group received conventional physiotherapy for 2.5 hours/day for 15 followed days. Outcomes were assessed at baseline, after the interventions, and after 6 months, through 6-minute walk test and Mini-Balance Evaluation Systems Test; 10-meter walk test, Timed Up and Go, 3-D gait analysis, and Lower Extremity – Motor Activity Log. Results LE-CIMT was superior on the Assistance and confidence subscale of Lower Extremity – Motor Activity Log, Mini-BESTest and 6-minute walk test. The effect size for all outcomes was small when comparing both groups. LE-CIMT showed clinically significant differences in daily activities, balance, and gait capacity, with no clinically significant difference for spatiotemporal parameters. Conclusion The LE-CIMT protocol had positive outcomes on balance, performance, and confidence perception.

Involving Physiotherapists in the Conduct of Research: A Mixed Methods Study of Physiotherapist Experiences, Perceptions, and Clinical Practice in a Research Project Using a Standardized Clinical Measure of Standing Balance

Purpose: The objectives of this study were to understand the experiences, perceptions, and clinical practice of physiotherapists involved in planning, data collection, and interpretation for a study using a standardized measure of standing balance (the Mini Balance Evaluation Systems Test [Mini BESTest]). Method: We conducted a concurrent mixed methods study. We conducted semi-structured interviews with five phsyiotherapists exploring perceptions and experiences. We administered questionnaires on study satisfaction, confidence, and intention to use the Mini BESTest six times during the study. We extracted use of the Mini BESTest on non-study patients from a patient database. Results: Physiotherapists administered the Mini BESTest for all 59 clinical study patients. Study satisfaction was high (median 80%) and increased over time ( p < 0.05). Physiotherapists described generally positive experiences. Confidence in ability to administer, score, and interpret the Mini BESTest increased (all p < 0.05), although perceptions of the Mini BESTest varied. Intention to use the Mini BESTest did not change and physiotherapists used the Mini BESTest on non-study patients on average 11 times during the clinical study (range 0–33). Conclusions: Involving physiotherapists in clinical research increased confidence and use of the measure with non-study patients.

Postural balance in COPD with obstructive sleep apnoea: a cross-sectional study.

The aim of this study was to assess the postural balance in COPD patients with obstructive sleep apnoea (OSA). Physical activity, anxiety and depression symptoms, mood, and falls were also assessed in this population. Moderate to severe COPD patients were assessed for laboratory and clinical postural balance (force platform and mini-balance evaluation systems test (Mini-BESTest)), physical activity (accelerometry), OSA (polysomnography), sleep quality (Pittsburgh Sleep Quality Index), sleepiness (Epworth Sleepiness Scale), anxiety and depression symptoms (Hospital Anxiety and Depression Scale), dyspnoea (modified Medical Research Council), clinical status (COPD Assessment Test) and mood (Brunel Mood Scale). Self-reported falls were recorded for 6 months via phone calls. COPD patients (n=70) were divided according to the polysomnography findings into the no OSA (n=30), mild OSA (n=25), and moderate to severe OSA (n=15) groups. Compared to patients with no OSA, those with moderate to severe OSA (msOSA group) presented median (interquartile range) increased path length (30.5 (23.9-34.5) cm versus 39.0 (30.6-52.6) cm, anteroposterior displacement (1.89 (1.39-2.31) cm versus 2.54 (2.06-2.83) cm and postural adjustment velocity (1.02 (0.80-1.15) cm·s-1 versus 1.30 (1.02-1.76) cm·s-1) (p<0.05). No differences were observed in the Mini-BESTest scores among the groups. The msOSA group presented a greater number of recurrent fallers in the first follow-up trimester. No association was observed between postural balance and age and pulmonary function. Individuals with COPD and moderate to severe OSA present changes in postural balance, including broader oscillation, faster postural adjustments and a greater risk of falls than those with no OSA. Physical activity, anxiety and depression symptoms, and mood are similar between COPD patients with and without OSA.

Pooled Minimal Clinically Important Differences of the Mini-Balance Evaluation Systems Test in Patients With Early Subacute Stroke: A Multicenter Prospective Observational Study.

Balance problems are common in patients with stroke, and the Mini-Balance Evaluation Systems Test (Mini-BESTest) is a reliable and valid assessment tool for measuring balance function. Determining the minimal clinically important difference (MCID) is crucial for assessing treatment effectiveness. This study aimed to determine the MCID of the Mini-BESTest in patients with early subacute stroke. In this prospective multicenter study, 53 patients with early subacute stroke undergoing rehabilitation in inpatient units were included. The mean age of the patients was 72.6 (SD = 12.2) years. The Mini-BESTest, which consists of 14 items assessing various aspects of balance function, including anticipatory postural adjustments, postural responses, sensory orientation, and dynamic gait, was used as the assessment tool. The global rating of change (GRC) scales completed by the participants and physical therapists were used as external anchors to calculate the MCID. The GRC scale measured subjective improvement in balance function, ranging from -3 (very significantly worse) to +3 (very significantly better), with a GRC score of ≥+2 considered as meaningful improvement. Four methods were used to calculate the MCID: mean of participants with GRC of 2, receiver operating characteristic-based method, predictive modeling method, and adjustment of the predictive modeling method based on the rate of improvement. From the MCID values obtained using these methods, a single pooled MCID value was calculated. The MCID values for the Mini-BESTest obtained through the 4 methods ranged from 3.2 to 4.5 points when using the physical therapist's GRC score as the anchor but could not be calculated using the participant's GRC score. The pooled MCID value for the Mini-BESTest was 3.8 (95% CI = 2.9-5.0). The Mini-BESTest MCID obtained in this study is valuable for identifying improvements in balance function among patients with early subacute stroke. Determination of the MCID is valuable for evaluating treatment effectiveness. The study findings provide clinicians with practical values that can assist in interpreting Mini-BESTest results and assessing treatment effectiveness.

Effects of physical exercise interventions on balance, postural stability and general mobility in Parkinson's disease: a network meta-analysis.

To assess which type of physical exercise intervention has the most beneficial effects on balance, postural stability and general mobility in patients with Parkinson's disease. These parameters were assessed using the Activities-specific Balance Confidence (ABC) scale, Berg Balance Scale (BBS), Mini-Balance Evaluation Systems Test (MiniBESTest) and Timed Up and Go Test (TUG). Network meta-analysis. The PubMed, Cochrane Central Register of Controlled Trials, and Web of Science databases were searched up to August 2022 to identify randomized controlled trials on the effects of physical exercise interventions on balance, postural stability, and general mobility. The network meta-analysis included pairwise and indirect comparisons of results on the ABC scale, BBS, MiniBESTest, and TUG across 8 categories of physical exercise. Eighty-six studies with a total of 4,693 patients were included. For the ABC scale, the indirect comparison showed that the highest effect size was observed for balance vs sensorimotor training without including endurance interventions (0.62; 95% confidence interval (95% CI) 0.06, 1.17). The highest effect sizes for BBS were observed for alternative exercises (1.21; 95% CI 0.62, 1.81), body-weight supported (BWS) interventions (1.31; 95% CI 0.57, 2.05), dance (1.18; 95% CI 0.33, 2.03) and sensorimotor training, including endurance interventions (1.10; 95% CI 0.46, 1.75) vs control groups. Indirect comparisons showed that the highest effect size for the MiniBESTest were observed for balance (0.75; 95% CI 0.46, 1.04) and resistance (0.58; 95% CI 0.10, 1.07) vs control groups. For the TUG, comparisons showed a significant effect size for alternative exercises (-0.54; 95% CI -0.82, -0.26), balance (-0.42; 95% CI -0.75, -0.08), resistance (-0.60; 95% CI -0.89, -0.31), and sensorimotor training including endurance interventions (-0.61; 95% CI -0.95, -0.27) vs control comparisons. Balance interventions improve balance, postural stability, and general mobility in people with Parkinson's disease. Moreover, alternative exercises, dance, BWS interventions, resistance, and sensorimotor training, including and not including endurance interventions, are also effective.

LSVT®BIG versus progressive structured mobility training through synchronous telerehabilitation in Parkinson's disease: A randomized controlled trial.

Parkinson's disease (PD) is a common neurodegenerative illness associated with motor symptoms. The aim of study was to compare the effects of synchronous telerehabilitation-based Lee Silverman Voice Treatment® BIG (LSVT®BIG) protocol and progressive structured mobility training in patients with Parkinson's disease (PD). Thirty-two patients diagnosed with PD (aged 40-72years, Hoehn-Yahr stage 1-3) were randomly allocated into LSVT®BIG (Group 1) and Progressive Structured Mobility Training (Group 2) groups. Exercises were performed in both groups for 60min a day, 4days a week, for 4weeks under the supervision of a physiotherapist with synchronous online videoconference method. Dynamic balance was assessed with Mini-Balance Evaluation Systems Test (Mini-BESTest) as a primary outcome measure. The secondary outcome measurements were Timed Up and Go Test (TUG), spatiotemporal parameters of gait from Kinovea® software, and postural stability from the Biodex Balance System. Other outcome measures were Activity-Specific Balance Confidence Scale-Short Form (ABC-SF), Parkinson's Activity Scale (PAS), and Parkinson's Disease Quality of Life Questionnaire (PDQ-39). This study showed significant group-by-time interactions on Mini-BEST (p = 0.042), ABC-SF (p = 0.029), and PAS (p = 0.022) in favor of group 1. Also, TUG (p < 0.01), spatiotemporal parameters of gait (p < 0.01), and PDQ-39 (p < 0.01) were improved in both groups. Both synchronous telerehabilitation-based exercise protocols enhanced balance and gait, as well as activity level and quality of life in patients with PD. LSVT® BIG may be preferred to improve dynamic balance, balance confidence, and activity status in the early stages of PD. These results should be confirmed in future studies with more robust methodology. NCT04694872.

Structural Validity of the Mini-Balance Evaluation Systems Test in Individuals With Spinocerebellar Ataxia: A Rasch Analysis Study

ObjectiveTo examine the structural validity of the Mini-Balance Evaluation Systems Test (Mini-BESTest) in individuals with spinocerebellar ataxia (SCA). DesignMethodological research on data gathered in a cross-sectional study. A Rasch analysis was conducted (partial credit model). SettingInpatients in a hospital rehabilitation setting. ParticipantsA pooled sample of patients with SCA (N=65 [total 110 data]; 23 women, 42 men; mean±SD age 63.1±9.9y). InterventionsNot applicable. Main Outcome MeasuresWe evaluated the Mini-BESTest's category structure, unidimensionality, and measurement accuracy (0: unable to perform or requiring help to 2: normal performance). ResultsThe Mini-BESTest rating scale fulfilled the category functioning criteria. The analysis of the standardized Rasch residuals showed the scale's unidimensionality, but there were 7 item pairs indicating local dependence. All of the items fit the underlying scale construct (dynamic balance), with the exception of item #1, "Sit to stand," which was an underfit. The Mini-BESTest demonstrated adequate reliability (person separation reliability=.87) and separated the patients into 5 strata. The item-difficulty measures ranged from −4.49 to 2.02 logits, and the person ability–item difficulty matching was very good (the mean of person ability=−.07 logits and the mean of item difficulty=.00). No floor or ceiling effects were detected. The keyform identified items with small (#11, "Walk with head turns, horizontal") and large (#3, "Stand on 1 leg") item thresholds. ConclusionsThe Mini-BESTest has a unidimensional balance assessment scale with good category structure and reliability even for individuals with SCA. However, it also has some inherent shortcomings such as fit statistics, local item dependencies, and item thresholds. The results obtained when the Mini-BESTest is administered to patients with cerebellar ataxia should, thus, be interpreted cautiously.

Feasibility of a new intervention addressing group-based balance and high-intensity training, physical activity, and employment in individuals with multiple sclerosis: a pilot randomized controlled trial.

Impaired sensorimotor function, reduced physical activity and unemployment are common challenges in persons with multiple sclerosis (pwMS), even when disability is low. CoreDISTparticipation is a new, multidisciplinary intervention delivered across healthcare levels systematically addressing these elements. This study primarily aimed to evaluate the feasibility of CoreDISTparticipation in terms of process, resources, management, and scientific outcomes. The secondary aim was to evaluate initial efficacy in terms of possible short-term effects compared with the usual care on barriers to employment, balance, walking, health-related quality of life (HRQoL), and physical activity. This assessor-blinded prospective pilot randomized controlled trial included 29 pwMS [Expanded Disability Status Scale (EDSS): 0-3.5] randomly allocated to the intervention group (CoreDISTparticipation) (n = 15) or usual care (n = 14). CoreDISTparticipation consists of three phases: (1) hospital outpatient clinic: MS nurse work-focused session and physiotherapist exploring balance; (2) municipality: a digital meeting with pwMS, employer, MS nurse, and physiotherapist addressing employment and physical activity, 4 weeks indoor CoreDIST balance training (60 min × 2/week); and (3) 4 weeks outdoor CoreDIST balance training and high-intensity running/walking (60 min × 2/week). Assessments were undertaken at baseline and at weeks 6 and 11. Primary feasibility metric outcomes were the reporting of process, resources, management, and scientific outcomes. Efficacy measures included evaluation of the Multiple Sclerosis Work Difficulties Questionnaire-23 Norwegian Version (MSWDQ-23NV) and 6 Minute Walk-test as well as the Trunk Impairment Scale-modified Norwegian Version, Mini-Balance Evaluation Systems Test (Mini-BESTest), Multiple Sclerosis Walking Scale-12, Multiple Sclerosis Impact Scale-29 Norwegian Version (MSIS-29NV), ActiGraph wGT3x-BT monitors, and AccuGait Optimized force platform. The statistical analyses included repeated-measures mixed models performed in IBM SPSS Version 29. The primary feasibility metric outcomes demonstrated the need for minor adjustments in regard to the content of the intervention and increasing the number of staff. In regard to the efficacy measures, one person attended no postintervention assessments and was excluded, leaving 28 participants (mean EDSS: 1.8, SD: 1). The mean percentage employment was 46.3 (SD: 35.6) and 65.4 (SD: 39.3) in the CoreDISTparticipation and usual care group, respectively. No between-group differences were found. MSWDQ-23NV demonstrated a within-group difference of 5.7 points from baseline to Week 11 (P = 0.004; confidence interval: 2.2-9.3). Mini-BESTest and MSIS-29NV demonstrated within-group differences. The study is registered in ClinicalTrials.gov (Identifier: NCT05057338). The CoreDISTparticipation intervention is feasible to support pwMS when the identified feasibility metric outcomes in regard to process, resource, management, and scientific outcome metrics are adjusted to improve feasibility. Regarding efficacy measures, no between-group differences were detected; however, within-group differences in barriers to employment, balance, and HRQoL were detected for the CoreDISTparticipation group. A larger comparative trial is needed to explore between-group differences and should accurately and precisely define usual care and address the identified limitations of this study.

Comparison of usefulness between the Mini-Balance Evaluation Systems Test and the Berg Balance Scale for measuring balance in patients with subacute stroke: a prospective cohort study.

The aim of this study was to compare the clinical applicability of the Mini-Balance Evaluation Systems Test and the Berg Balance Scale for measuring balance in inpatients with subacute stroke. This was a prospective observational study which included 58 consecutive patients admitted to a convalescent rehabilitation hospital with a first-ever stroke and who met the inclusion/exclusion criteria. The Mini-Balance Evaluation Systems Test and the Berg Balance Scale were used to assess patient balance at admission and discharge. The ceiling and floor effects and responsiveness of each balance score were examined. In addition, receiver operating characteristic analysis based on each balance score at admission was used to examine its discriminative power to predict ambulatory independence and falls during hospitalization. The mean (standard deviation) change between admission and discharge for each balance scale was 4.4 (4.7) for the Mini-Balance Evaluation Systems Test and 8.3 (10.0) for the Berg Balance Scale, with standard response means, a measure of responsiveness of 0.9 (large) and 0.8 (medium), respectively. Each balance score at admission almost equally predicted gait independence and fallers during hospitalization. On the contrary, only the distribution of scores on the Berg Balance Scale at discharge showed a ceiling effect, with 25 patients (43%) obtaining a perfect score. The Mini-Balance Evaluation Systems Test may be useful as a balance measure for inpatients with subacute stroke because it is less susceptible to ceiling effects and more responsive than the Berg Balance Scale.

Factor analysis for construct validity of a trunk impairment scale in Parkinson's disease: a cross-sectional study.

To investigate the construct validity of the Trunk Impairment Scale (TIS), which was developed to assess trunk impairment in patients with stroke, in patients with Parkinson's disease (PD). This retrospective, cross-sectional study enrolled consecutive PD inpatients. Correlation analysis was performed to clarify whether the TIS assessment was related to other balance functions, lower extremity muscle strength, or walking ability. Factor analysis was performed to see how the background factors of TIS differ from balance function, lower limb muscle strength, and walking ability. Examining the data of 471 patients with PD, there were relationships between TIS and the Mini-Balance Evaluation Systems Test (r = 0.67), Barthel Index (r = 0.57), general lower limb extension torque (r = 0.51), two-minute walk test (r = 0.54), Hoehn and Yahr stage (r = -0.61), and Movement Disorder Society Unified Parkinson's Disease Rating Scale part III total points (r = -0.59). Factor analysis showed that TIS items were divided into three factors (an abdominal muscles and righting reflex component; a perception and verticality component; and a rotational component), differing from other scales that included clinical assessment items. The TIS can be useful for assessing the underlying trunk impairment as a basis for activities of daily living, gait function, and balance ability in patients with PD.

Reliability, Validity, and Identification Ability of a Commercialized Waist-Attached Inertial Measurement Unit (IMU) Sensor-Based System in Fall Risk Assessment of Older People.

Falls are a prevalent cause of injury among older people. While some wearable inertial measurement unit (IMU) sensor-based systems have been widely investigated for fall risk assessment, their reliability, validity, and identification ability in community-dwelling older people remain unclear. Therefore, this study evaluated the performance of a commercially available IMU sensor-based fall risk assessment system among 20 community-dwelling older recurrent fallers (with a history of ≥2 falls in the past 12 months) and 20 community-dwelling older non-fallers (no history of falls in the past 12 months), together with applying the clinical scale of the Mini-Balance Evaluation Systems Test (Mini-BESTest). The results show that the IMU sensor-based system exhibited a significant moderate to excellent test-retest reliability (ICC = 0.838, p < 0.001), an acceptable level of internal consistency reliability (Spearman's rho = 0.471, p = 0.002), an acceptable convergent validity (Cronbach's α = 0.712), and an area under the curve (AUC) value of 0.590 for the IMU sensor-based receiver-operating characteristic (ROC) curve. The findings suggest that while the evaluated IMU sensor-based system exhibited good reliability and acceptable validity, it might not be able to fully identify the recurrent fallers and non-fallers in a community-dwelling older population. Further system optimization is still needed.

Standardized measurement of balance and mobility post-stroke: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable.

Mobility is a key priority for stroke survivors. Worldwide consensus of standardized outcome instruments for measuring mobility recovery after stroke is an essential milestone to optimize the quality of stroke rehabilitation and recovery studies and to enable data synthesis across trials. Using a standardized methodology, which involved convening of 13 worldwide experts in the field of mobility rehabilitation, consensus was established through an a priori defined survey-based approach followed by group discussions. The group agreed on balance- and mobility-related definitions and recommended a core set of outcome measure instruments for lower extremity motor function, balance and mobility, biomechanical metrics, and technologies for measuring quality of movement. Selected measures included the Fugl-Meyer Motor Assessment lower extremity subscale for motor function, the Trunk Impairment Scale for sitting balance, and the Mini Balance Evaluation System Test (Mini-BESTest) and Berg Balance Scale (BBS) for standing balance. The group recommended the Functional Ambulation Category (FAC, 0-5) for walking independence, the 10-meter Walk Test (10 mWT) for walking speed, the 6-Minute Walk Test (6 MWT) for walking endurance, and the Dynamic Gait Index (DGI) for complex walking. An FAC score of less than three should be used to determine the need for an additional standing test (FAC < 3, add BBS to Mini-BESTest) or the feasibility to assess walking (FAC < 3, 10 mWT, 6 MWT, and DGI are "not testable"). In addition, recommendations are given for prioritized kinetic and kinematic metrics to be investigated that measure recovery of movement quality of standing balance and walking, as well as for assessment protocols and preferred equipment to be used. The present recommendations of measures, metrics, technology, and protocols build on previous consensus meetings of the International Stroke Recovery and Rehabilitation Alliance to guide the research community to improve the validity and comparability between stroke recovery and rehabilitation studies as a prerequisite for building high-quality, standardized "big data" sets. Ultimately, these recommendations could lead to high-quality, participant-specific data sets to aid the progress toward precision medicine in stroke rehabilitation.

Balance telerehabilitation and wearable technology for people with Parkinson’s disease (TelePD trial)

BackgroundBalance impairments, that lead to falls, are one of the main symptoms of Parkinson’s disease (PD). Telerehabilitation is becoming more common for people with PD; however, balance is particularly challenging to assess and treat virtually. The feasibility and efficacy of virtual assessment and virtual treatment of balance in people with PD are unknown. The present study protocol has three aims: I) to determine if a virtual balance and gait assessment (instrumented L-shape mobility test) with wearable sensors can predict a gold-standard, in-person clinical assessment of balance, the Mini Balance Evaluation Systems Test (Mini-BESTest); II) to explore the effects of 12 sessions of balance telerehabilitation and unsupervised home exercises on balance, gait, executive function, and clinical scales; and III) to explore if improvements after balance telerehabilitation transfer to daily-life mobility, as measured by instrumented socks with inertial sensors worn for 7 days.MethodsThe TelePD Trial is a prospective, single-center, parallel-group, single-blind, pilot, randomized, controlled trial. This trial will enroll 80 eligible people with PD. Participants will be randomized at a 1:1 ratio into receiving home-based balance exercises in either: 1) balance telerehabilitation (experimental group, n = 40) or 2) unsupervised exercises (control group, n = 40). Both groups will perform 12 sessions of exercise at home that are 60 min long. The primary outcome will be Mini-BESTest. The secondary outcomes will be upper and lower body gait metrics from a prescribed task (instrumented L-shape mobility test); daily-life mobility measures over 7 days with wearable sensors in socks, instrumented executive function tests, and clinical scales. Baseline testing and 7 days of daily-life mobility measurement will occur before and after the intervention period.ConclusionThe TelePD Trial will be the first to explore the usefulness of using wearable sensor-based measures of balance and gait remotely to assess balance, the feasibility and efficacy of balance telerehabilitation in people with PD, and the translation of balance improvements after telerehabilitation to daily-life mobility. These results will help to develop a more effective home-based balance telerehabilitation and virtual assessment that can be used remotely in people with balance impairments.Trial registrationThis trial was prospectively registered on ClinicalTrials.gov (NCT05680597).

Standardized measurement of balance and mobility post-stroke: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable.

Mobility is a key priority for stroke survivors. Worldwide consensus of standardized outcome instruments for measuring mobility recovery after stroke is an essential milestone to optimize the quality of stroke rehabilitation and recovery studies and to enable data synthesis across trials. Using a standardized methodology, which involved convening of 13 worldwide experts in the field of mobility rehabilitation, consensus was established through an a priori defined survey-based approach followed by group discussions. The group agreed on balance- and mobility-related definitions and recommended a core set of outcome measure instruments for lower extremity motor function, balance and mobility, biomechanical metrics, and technologies for measuring quality of movement. Selected measures included the Fugl-Meyer Motor Assessment lower extremity subscale for motor function, the Trunk Impairment Scale for sitting balance, and the Mini Balance Evaluation System Test (Mini-BESTest) and Berg Balance Scale (BBS) for standing balance. The group recommended the Functional Ambulation Category (FAC, 0-5) for walking independence, the 10-meter Walk Test (10 mWT) for walking speed, the 6-Minute Walk Test (6 MWT) for walking endurance, and the Dynamic Gait Index (DGI) for complex walking. An FAC score of less than three should be used to determine the need for an additional standing test (FAC < 3, add BBS to Mini-BESTest) or the feasibility to assess walking (FAC < 3, 10 mWT, 6 MWT, and DGI are "not testable"). In addition, recommendations are given for prioritized kinetic and kinematic metrics to be investigated that measure recovery of movement quality of standing balance and walking, as well as for assessment protocols and preferred equipment to be used. The present recommendations of measures, metrics, technology, and protocols build on previous consensus meetings of the International Stroke Recovery and Rehabilitation Alliance to guide the research community to improve the validity and comparability between stroke recovery and rehabilitation studies as a prerequisite for building high-quality, standardized "big data" sets. Ultimately, these recommendations could lead to high-quality, participant-specific data sets to aid the progress toward precision medicine in stroke rehabilitation.

Do measures of physical capacity and walking self-efficacy relate to frailty in older adults with difficulty walking outdoors? A secondary data analysis

Purpose Measures of physical capacity and self-efficacy may help rehabilitation professionals better understand and detect frailty in older adults. We aimed to characterize frailty, walking self-efficacy, physical capacity, and their inter-relationships in older adults with difficulty walking outdoors. Materials and methods A secondary analysis of baseline data from 187 older adults (age ≥ 65 years) with mobility limitations was performed. Frailty was evaluated using the cardiovascular health study frailty index. Physical capacity was measured using the 10-meter walk test (10mWT), 6-min walk test (6MWT), 30-second sit-to-stand test (30STST), mini balance evaluation systems test (mini-BESTest), and hand dynamometry. Self-efficacy was assessed using the ambulatory self-confidence questionnaire (ASCQ). We evaluated associations between scores on physical capacity and walking self-efficacy measures and frailty level using an ANOVA or the Kruskal Wallis H-test. Results The percentage of participants not frail, pre-frail, and frail was 33.7%, 57.2%, and 9.1%, respectively. Median score on the 10mWT-comfortable pace, 10mWT-fast pace, 6MWT, 30STST, mini-BESTest, grip strength, and ASCQ was 1.06 m/s, 1.42 m/s, 354.0 m, 9.0 repetitions, 22 points, 23.0 kg, and 8.1 points, respectively. Scores on physical capacity and walking self-efficacy measures were associated with frailty level (p < 0.01). Conclusions Findings provide insight into the utility of rehabilitation measures to indicate frailty among older adults with mobility limitations.

Pay attention: you can fall! The Mini-BESTest scale and the turning duration of the TUG test provide valid balance measures in neurological patients: a prospective study with falls as the balance criterion.

Balance, i.e., the ability not to fall, is often poor in neurological patients and this impairment increases their risk of falling. The Mini-Balance Evaluation System Test (Mini-BESTest), a rating scale, the Timed Up and Go (TUG) test, and gait measures are commonly used to quantify balance. This study assesses the criterion validity of these measures as balance measures. The probability of being a faller within nine months was used as the balance criterion. The Mini-BESTest, TUG (instrumented with inertial sensors), and walking test were administered before and after inpatient rehabilitation. Multiple and LASSO logistic regressions were used for the analysis. The diagnostic accuracy of the model was assessed with the area under the curve (AUC) of the receiver operating characteristic curve. Mobility measure validity was compared with the Akaike Information Criterion (AIC). Two hundred and fourteen neurological patients (stroke, peripheral neuropathy, or parkinsonism) were recruited. In total, 82 patients fell at least once in the nine-month follow-up. The Mini-BESTest (AUC = 0.69; 95%CI: 0.62-0.76), the duration of the TUG turning phase (AUC = 0.69; 0.62-0.76), and other TUG measures were significant faller predictors in regression models. However, only the turning duration (AIC = 274.0) and Mini-BESTest (AIC = 276.1) substantially improved the prediction of a baseline model, which only included fall risk factors from the medical history (AIC = 281.7). The LASSO procedure selected gender, disease chronicity, urinary incontinence, the Mini-BESTest, and turning duration as optimal faller predictors. The TUG turning duration and the Mini-BESTest predict the chance of being a faller. Their criterion validity as balance measures in neurological patients is substantial.

Evaluation of balance and executive function relationships in older individuals.

Executive function is an important cognitive factor in gait and balance control. Weakening of balance system components and executive functions due to aging may affect walking and balance and increase the risk of falling. The present study aimed to investigate the relationship between balance and executive function in older individuals and the contributions of physical activity and depression to this relationship. A total of 84 healthy individuals aged 60 and over were included in the study. In the study, the Timed Up and Go Test (TUG), Mini Balance Evaluation Systems Test (Mini-BESTest), Digit Symbol Substitution Test (DSST), Trail Making Test A and B (TMT A and TMT B), Physical Activity Scale for the Elderly (PASE), and Geriatric Depression Scale (GDS) were applied. The Mini-BESTest and TUG correlated with DSST, TMT A, and TMT B. GDS was correlated with TUG. PASE was correlated with Mini-BESTest and TUG. Executive functions differed according to education level; DSST, TMT B, and GDS were effective in fall history. There was a significant relationship between balance and executive function. It was found that balance and walking speed increased as executive function skills increased. Depression and physical activity are associated with balance and gait speed. Balance and executive functions are related to each other, and physical activity and depression contribute to this relationship. In order to protect against the negative effects of aging, cognitive and physical training can be performed to prevent balance and executive function declines.

Effect of Tai-chi on balance, mood, cognition, and quality of life in women with multiple sclerosis: A one-year prospective study

IntroductionOne of the most debilitating problems encountered by people with multiple sclerosis (MS) is the loss of balance and coordination. Our study aimed to comprehensively evaluate the effectiveness of one year of Tai-chi exercise in patients with MS using both subjective and objective methods, including posturography. MethodsThis was a single-group longitudinal one-year study performed from the 1st of January 2019 to the 1st of January 2020. The primary outcomes of interest were the Mini-Balance Evaluation Systems Test (Mini-BESTest) and static posturography measures as objective methods to detect subtle changes associated with postural control/balance impairment. Secondary outcomes were measures of depression, anxiety, cognitive performance, and quality of life. All objective and subjective parameters were assessed four times: at baseline, and after three, six and 12 months of regular Tai-chi training. The difference was calculated as a subtraction of baseline values from every timepoint value for each measurement. If the normality test was passed, parametric one-sample t-test was used, if failed, Wilcoxon signed ranks test was used to test the difference between the baseline and each timepoint. Alpha was set to 0.017 using Bonferroni correction for multiple comparisons. ResultsOut of 25 patients with MS enrolled, 15 women with MS (mean age 44.27 years) were included for statistical analyses after completing the 12-month program. After 12 months, significant improvements were found in all objective balance and gait tests: Mini-BESTest (p<0.001), static posturography measures (total area of the centre of foot pressure – TA; p = 0.015), 25 Feet Walk Test (25FWT; p = 0.001), anxiety (Beck Anxiety Inventory – BAI; p = 0.005) and cognition tests (Paced Auditory Serial Addition Test – PASAT; p = 0.003). Measures of depression (Beck Depression Inventory – BDI; p = 0.071), cognition (Symbol Digit Modalities Test – SDMT; p = 0.079), and health-related quality of life (European Quality of Life 5-Dimensions Questionnaire – EQ-5D-5L; p = 0.095) showed a trend of improvement but were not significant, which could be the result of a small sample and increased bias due the type II error. ConclusionAccording to these preliminary results, this study indicates the possible beneficial effects of long-term Tai-chi training on patients with MS. Although these findings need to be confirmed by further studies with a larger sample of participants of both genders and require more rigorous randomized controlled trials (RCT) design, our findings support the recommendation of regular and long-term Tai-chi exercise in patients with MS. ClinicalTrials.gov Identifier (retrospectively registered): NCT05474209

Clinical prediction rules for multi surfaces walking independence using the Berg Balance Scale or Mini-Balance Evaluation Systems Test in persons with stroke

ABSTRACT Background A Clinical prediction rule (CPR) for determining multi surfaces walking independence in persons with stroke has not been established. Objectives To develop a CPR for determining multi surfaces walking independence in persons with stroke. Methods This was a multicenter retrospective analysis of 419 persons with stroke. We developed a Berg Balance Scale (BBS)-model CPR combining the BBS, comfortable walking speed (CWS) and cognitive impairment, and a Mini-Balance Evaluation Systems Test (Mini-BESTest)-model CPR combining the Mini-BESTest, CWS, and cognitive impairment. A logistic regression analysis was conducted with multi surfaces walking independence as the dependent variable and each factor as an independent variable. The identified factors were scored (0, 1) based on reported cutoff values. The CPR’s accuracy was verified by the area under the curve (AUC). We used a bootstrap method internal validation and calculated the CPR’s posttest probability. Results The logistic regression analysis showed that the BBS, CWS, and cognitive impairment were factors in the BBS model, and the Mini-BESTest was a factor in the Mini-BESTest model. The CPRs were 0–3 points for the BBS model and 0–1 points for the Mini-BESTest model. The AUCs (bootstrap mean AUC) of the CPR score were 0.89 (0.90) for the BBS model and 0.72 (0.72) for the Mini-BESTest model. The negative predictive value (negative likelihood ratio) was 97% (0.054) for CPR scores < 2 for the BBS model and 94% (0.060) for CPR scores < 1 for the Mini-BESTest model. Conclusions The CPR developed herein is useful for determining multi surfaces walking independence.