Predicting falls within the elderly community: comparison of postural sway, reaction time, the Berg balance scale and the Activities-specific Balance Confidence (ABC) scale for comparing fallers and non-fallers

Lajoie, Yves; Gallagher, Sean P.

doi:10.1016/s0167-4943(03)00082-7

Cited by 742 publications

(593 citation statements)

References 30 publications

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“…In geriatric populations, ABC scale scores have been shown to correlate with performance on balance measures and risk for falls. 37,38 The construct validity of the ABC scale with measures of balance and physical function has been established in the stroke population, 39 and the test-retest reliability of the scale is excellent (ICC=0.85). 40 The Physical Activity Scale for Individuals with Physical Disabilities (PASIPD) 41 is a 13-item questionnaire that assesses physical activity by reporting the number of days per week and hours per day an individual participates in recreational, household, and occupational activities over the last seven days.…”

Section: Data Collectionmentioning

confidence: 99%

The Impact of Falls on Motor and Cognitive Recovery after Discharge from In-Patient Stroke Rehabilitation

Wong

Brooks

Inness

et al. 2016

Journal of Stroke and Cerebrovascular Diseases

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Section: Data Collectionmentioning

confidence: 99%

The Impact of Falls on Motor and Cognitive Recovery after Discharge from In-Patient Stroke Rehabilitation

Wong

Brooks

Inness

et al. 2016

Journal of Stroke and Cerebrovascular Diseases

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“…Regarding the reporting of falls and postural balance evaluated using the BBS there were no significant difference in these variables in three years, although there are studies in the literature reporting changes in balance related to aging, such as increase in reaction time, greater postural sway in standing position and decrease in efficiency of motor strategies of postural balance 18 .…”

Section: Discussionmentioning

confidence: 83%

Estudo longitudinal do equilíbrio postural e da capacidade aeróbica de idosos independentes

Lima¹,

Vilaça²,

Lima³

et al. 2011

Rev. bras. fisioter.

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Objective: To evaluate the variation in aerobic capacity and postural balance of independents elderly for a period of three years. Methods:The aerobic capacity of the volunteers was assessed using a six minutes walk test (6MWT), the postural balance was assessed using the Berg Balance Scale (BBS), the number of falls was self-reported and physical activity level was assessed using the The present study demonstrated that balance, evaluated using BBS did not change in the active independent elderly for a period of three years. However, over the there year period there was a decrease in aerobic capacity evaluated using the 6MWT.Keywords: physical therapy; elderly; balance; aerobic capacity. ResumoObjetivo: Avaliar a variação da capacidade aeróbica e do equilíbrio postural em idosos independentes por um período de três anos. Houve diminuição da distância percorrida entre as duas avaliações, sendo que os voluntários percorreram 52,46±8,4 metros a menos na segunda avaliação. O IPAQ evidenciou aumento de indivíduos considerados ativos na segunda avaliação (83,3%). Conclusão: O presente estudo demonstrou que o equilíbrio postural, avaliado pela EEB, não se alterou nos idosos independentes e ativos no período de três anos. Nesse mesmo momento, observou-se uma redução da distância percorrida, avaliada pelo TC6.Palavras-chave: fisioterapia; idoso; equilíbrio; capacidade aeróbica.

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“…Some articles suggest the quantification of the patient's global risk of falling, so that an intervention is done when the risk exceeds a certain value (refer to [61], [25] and [62]). Global risk's quantification can be achieved by accessing different risk factors (i.e.…”

Section: Recent Studies On Fall Risk Predictionmentioning

confidence: 99%

“…building a risk profile through a multidimensional risk screening) and then combining them through the attribution of different weights to each risk factor. As a result, a likelihood of falling should be calculated [61,62,25]. The calculus of a likelihood of a fall implies the use of logistic regression methods to estimate the regression coefficients of each predictor of falling, as suggested by different articles (c.f.…”

Section: Recent Studies On Fall Risk Predictionmentioning

confidence: 99%

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Phone Based Fall Risk Prediction

Guimar�ães

Teixeira

Monteiro

et al. 2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Falls in older people can represent serious individual and socioeconomic problems. With the increasing number of older people in the population, management of falls is becoming a challenge.It is now recognized that several risk factors for falling can be identified, and specific interventions can be designed in order to reduce those risks. Several tools were then developed and are now available to screen for fall risk. However, these tools are applied with low frequency, usually requiring the use of expensive equipments that can only be manipulated by experts. This poses some constraints on the prevention of falls, since when these techniques are applied, it can be too late.In order to improve the earlier detection of risks and the application of fall prevention strategies, new community based solutions must be developed. In this project, the mobile phone was purposed as a potential instrument to perform fall risk screening. Several strategies were then evaluated to be adapted to the phone for fall risk screening purposes.Phone's inertial sensors were used to extract some parameters of gait that were related with an increased risk of falling. Foot contacts, gait phases, step length, step duration, walking velocity and variability parameters could then be determined from sensors data. Acceptable measures of step length and walking velocity could be obtained. Additionally, other risk factors were selected to be assessed by self-report, using some clinical scales/questionnaires.Results suggest that phone can be used as a major strategy to improve fall prevention, being a great value for older persons and society.i ii ResumoUma queda num idoso pode resultar em graves problemas individuais e socioeconómicos. Com o aumento do número de idosos na população, a gestão de quedas está a tornar-se um desafio.Actualmente, é possível identificar vários factores de risco para a ocorrência de quedas bem como reduzir esses riscos, através da aplicação da aplicação de intervenções especí-ficas. Nesse sentido, há já algumas ferramentas actualmente disponíveis para avaliar o risco de queda. Estas ferramentas no entanto usadas com baixa frequência, exigindo o uso de equipamentos caros que apenas podem ser manipulados por pessoas qualificadas. Muitas vezes, estas técnicas podem já ser aplicadas tarde demais.Para que a detecção dos riscos e a aplicação de estratégias de prevenção de quedas possa ser feita mais precocemente, é necessário o desenvolvimento de novas soluções dirigidas à população. Neste projecto, foi proposto o uso do telemóvel para a detecção do risco de queda nos idosos.Os sinais dos sensores do telemóvel foram utilizados para extrair parâmetros da marcha relacionados com um risco de queda aumentado. A partir deles, os contactos do pé com o chão, as fases da marcha, o tamanho e duração dos passos, a velocidade e parâmetros que quantificam a variabilidade da marcha puderam ser determinados. Medidas aceitáveis do tamanho dos passos e da velocidade foram obtidas. Adicionalmente, outros factores de risco foram sele...

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Predicting falls within the elderly community: comparison of postural sway, reaction time, the Berg balance scale and the Activities-specific Balance Confidence (ABC) scale for comparing fallers and non-fallers

Cited by 742 publications

References 30 publications

The Impact of Falls on Motor and Cognitive Recovery after Discharge from In-Patient Stroke Rehabilitation

The Impact of Falls on Motor and Cognitive Recovery after Discharge from In-Patient Stroke Rehabilitation

Estudo longitudinal do equilíbrio postural e da capacidade aeróbica de idosos independentes

Phone Based Fall Risk Prediction

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