Sections of the Brief-Balance Evaluation Systems Test Relevant for Discriminating Fast Versus Slow Walking Speeds in Community-Dwelling Older Women

Shinohara, Tomoyuki; Saida, Kosuke; Miyata, Kazuhiro; Usuda, Shigeru

doi:10.1519/jpt.0000000000000280

Cited by 5 publications

(3 citation statements)

References 46 publications

(105 reference statements)

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“…The stability in gait section showed good accuracy in discriminating between groups, with a good combination of sensitivity and specificity, and the positive predictive value was also high. This finding was in line with previous studies that analysed walking speed in relation to BESTest or Brief-BESTest section scores in older adults ( 14 , 27 ). It is interesting that the stability in gait section is strongly related to walking speed regardless of subject characteristics.…”

Section: Discussionsupporting

confidence: 93%

Which Balance Evaluation Systems Test sections best distinguish levels of post-stroke functional walking status?

Miyata

Hasegawa²,

Iwamoto³

et al. 2021

J Rehabil Med

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Objective To determine which sections of the Balance Evaluation Systems Test (BESTest) distinguish levels of post-stroke functional walking status and to establish their cut-off scores. Design A retrospective cross-sectional study. Subjects and methods The BESTest was administered to 87 stroke patients who were able to walk without physical assistance upon discharge from the hospital. Subjects were divided into 3 functional walking status groups: namely, household ambulators, limited community ambulators, and unlimited community ambulators. The receiver operating characteristic curve was determined and the cut-off score and area under the receiver operating characteristic curve (AUROC) of each section calculated. Results In the comparison of household and limited community ambulators, the accuracies of all BESTest sections were moderate (AUROC>0.7), and the cut-off scores were 36.1–78.6%. In the comparison of limited and unlimited community ambulators, one section (stability in gait) had high accuracy (AUROC=0.908, cut-off scores=73.8%) and 3 sections (biomechanical constraints, anticipatory postural adjustments, and postural response) had moderate accuracy (AUROC=0.812–0.834, cut-off scores=75.0–83.4%). Conclusion This study demonstrated that different sections of the BESTest had different abilities to discriminate levels of post-stroke functional walking status, and identified cut-off values for targeted improvement. LAY ABSTRACT The Balance Evaluation Systems Test (BESTest), a clinical postural control measure, categorizes postural control systems in 6 different sections. This study investigated which sections of the BESTest distinguish levels of post-stroke functional walking status, which, in turn, is based on walking speed. Among the slower walkers, all sections of the BESTest showed moderate relationships to categories of walking status. Among the faster walkers, 4 sections showed moderate to strong relationships and 2 sections showed weak relationships. This study may have clinical implications for rehabilitation aimed at improving functional walking status in individuals with stroke. These findings will help rehabilitation professionals assess postural control in relation to stroke patients’ ability to walk in different settings (e.g. their household or the community) and determine which postural control systems should be prioritized in therapeutic interventions.

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Section: Discussionsupporting

confidence: 93%

Which Balance Evaluation Systems Test sections best distinguish levels of post-stroke functional walking status?

Miyata

Hasegawa²,

Iwamoto³

et al. 2021

J Rehabil Med

View full text Add to dashboard Cite

show abstract

“…Many previous studies reported that gait speed could be used as an identi ed characteristic of frailty [32], daily life function [33], dementia [34] or cognition impairment [35], malnutrition [36], depression [37], and chronic pain [31]. Most of these studies considered the reduced gait speed to be a functional decline as a result of other syndromes, which did not classify the subjects based on the gait speed cut-off.…”

Section: Discussionmentioning

confidence: 99%

Slow gait speed as a potential indicator for common geriatric syndromes besides sarcopenia

He,

Li,

Chen

et al. 2023

Preprint

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Background Geriatric syndromes are posing increasing health threat in an aging population. The reliable indicator of geriatric syndromes is of great clinical value for early diagnosis and intervention. Aims To investigate the potential application of slow gait speed as a signal for identifying common geriatric syndromes besides sarcopenia in the elderly. Methods A total number of 985 elderly outpatients (457 men and 528 women) were recruited in the study. The subjects were classified into two groups according to the gait speed cut-off (1.0m/s), with the individuals being assigned as normal speed group (NSG) when the gait speed≥1.0m/s and the slow speed group (SSG) was defined as the gait speed <1.0m/s. CGA management system Simply Edition (CGA-SE) software was implemented to collect data, compare the demographic variations and assess the prevalence of functional decline in the two groups. Results Compared to the NSG, SSG subjects were significantly older, shorter in height, lighter in weight and consumed more medicine. SSG subjects also showed a higher score in Edmonton symptom assessment, Self-Rating Depression Scale (SDS), Self-rating Anxiety Scale (SAS), and Mini Nutritional Assessment (MNA), and had a lower score in Barthel index of Activities of Daily Living (BADL) assessment and Mini-Mental State Examination (MMSE). There was a significantly higher prevalence of frailty, disability, depression, and dementia in SSG when compared to NSG. In addition, gait speed was an independent predictive factor associated with a higher risk of frailty, disability, dementia, and swallowing dysfunction. Conclusions Slow gait speed could be used as an indicator for several common geriatric syndromes in elderly outpatients. We recommended the 6 meters walk test as a routine examination for the elderly in the geriatric department.

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“…Many previous studies reported that gait speed could be used as an identi ed characteristic of frailty [32], daily life function [33], dementia [34] or cognition impairment [35], malnutrition[36], depression [37], and chronic pain [31]. Most of them considered the gait speed as a performance of function decline but did not clarify which gait speed as cut-off had more risk.…”

Section: The Correlativity Of Gait Speed Geriatric Syndromesmentioning

confidence: 99%

Slow gait speed could be a signal for common geriatric syndromes besides sarcopenia

Zhang

Quan

et al. 2023

Preprint

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Background In China geriatricians is inadequate for the growing elderly. We need more doctors to recognize geriatric syndromes with a simple examination, which could help more elderly have better care.Aims Clarified that slow gait speed could be a signal to identify common geriatric syndromes besides sarcopenia in elderly outpatients.Methods According to the gait speed cut-off (< 1.0m/s), we classified 985 elderly outpatients (457 men and 528 women) into two groups. The groups were defined as the normal speed group (NSG, gait speed ≥ 1.0m/s), and the slow speed group (SSG, gait speed < 1.0m/s). We used the CGA management system Simply Edition (CGA-SE) software to collect data and compared demographic variations and the prevalence of functional decline in the two groups.Results Participants in SSG were significantly older, shorter in height, lighter in weight, used more drugs, and had a higher score in Edmonton, SDS, SAS, and MNA, and a lower score in BADL, and MMSE than in NSG. And they had significantly higher prevalence percentages in frailty, disability, depression, and dementia than in NSG. In addition, gait speed was an independent protective factor associated with frailty, disability, dementia, and swallowing dysfunction. And slow gait speed was an independent risk factor associated with frailty, depression, and dementia. Furthermore, participants with comorbidity, better function in daily life, and good cognition usually had faster gait speeds. However, participants with polypharmacy, low education, malnutrition risk, and frailty usually had slow gait speed(p < 0.05).Discuss Clinical physicians should give more attention to those with slow gait speed elderly outpatients, and be alert to their geriatric syndromes.Conclusions Slow gait speed could be a signal for several common geriatric syndromes in elderly outpatients. We recommended 6 meters gait speed test as a routine examination for the elderly, not only in the geriatric department but also others serving the elderly.

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Sections of the Brief-Balance Evaluation Systems Test Relevant for Discriminating Fast Versus Slow Walking Speeds in Community-Dwelling Older Women

Cited by 5 publications

References 46 publications

Which Balance Evaluation Systems Test sections best distinguish levels of post-stroke functional walking status?

Which Balance Evaluation Systems Test sections best distinguish levels of post-stroke functional walking status?

Slow gait speed as a potential indicator for common geriatric syndromes besides sarcopenia

Slow gait speed could be a signal for common geriatric syndromes besides sarcopenia

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