Gait variability analysed using an accelerometer is associated with locomotive syndrome among the general elderly population: The GAINA study

Matsumoto, Hiromi; Hagino, Hiroshi; Osaki, Mari; Tanishima, Shinji; Tanimura, Chika; Matsuura, Akihiro; Makabe, Tomoyuki

doi:10.1016/j.jos.2016.02.003

Cited by 19 publications

(15 citation statements)

References 31 publications

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“…By contrast, other studies using GLFS-25 or GLFS-5 for screening of LS found the prevalence of LS in subjects aged 70 years is about 16% [7] , [14] , [15] , [16] . When GLFS-5 was used a similar prevalence of LS was found compared with the full-version GLFS-25 [10] , [17] , [18] ; namely, about 17% in a group of similar age and sex were found using the GLFS-25.…”

Section: Prevalence Of Lsmentioning

confidence: 89%

“…Japanese women with LS had a shorter unipedal stance time and a longer normal and fast 6 min walking time than those without LS [9] . We reported that acceleration signals during gait seen using an accelerometer have the potential to become general indicators for LS in the elderly [10] . Several physical assessments have validity for screening for LS, and assessment of gait function or potential for one-leg standing have been important methods for the screening because gait dysfunction and decline of extremity muscle strength can indicate LS.…”

Section: Screening Tests For Lsmentioning

confidence: 99%

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Locomotive syndrome presents a risk for falls and fractures in the elderly Japanese population

Matsumoto

Hagino

Wada

et al. 2016

Osteoporosis and Sarcopenia

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“Locomotive syndrome” is used to designate the condition of individuals with musculoskeletal disease who are highly likely to require nursing care. This article reviews screening, prevalence, causal and related factors, and the relationship between locomotive syndrome and falls and fractures in older adults with this syndrome. A few self-administered questionnaire tools are available to assess individuals for locomotive syndrome. Additionally, screening methods, including a physical functioning assessment, are appropriate for detailed discrimination of locomotive syndrome. The prevalence of locomotive syndrome is significantly higher in women than in men, and tends to increase markedly from 70 years of age. More severe locomotive syndrome is related to knee pain, osteoporosis, sarcopenia, and lumbar disease. The incidence of falling in locomotive syndrome is higher than the incidence for the older population in general. Locomotive training including squats and a unipedal standing exercise has been recommending to prevent locomotive syndrome. This training improves muscle strength and balance function for older people who have a risk for locomotive syndrome.

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Section: Prevalence Of Lsmentioning

confidence: 89%

Section: Screening Tests For Lsmentioning

confidence: 99%

Locomotive syndrome presents a risk for falls and fractures in the elderly Japanese population

Matsumoto

Hagino

Wada

et al. 2016

Osteoporosis and Sarcopenia

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“…This study analyzed participants enrolled in the Good Ageing and Intervention against Nursing Care and Activity Decline (GAINA) study. [6][7][8][9] The GAINA study, which began in 2014, is a population-based prospective study of the residents of Hino, a rural town in western Tottori Prefecture, Japan. In 2016, Hino had 3,352 residents and an aging rate of 45.0%.…”

Section: Setting and Participantsmentioning

confidence: 99%

A Path Model Analysis of the Causal Relationship between Self-care Agency and Healthy Behavior in Community-dwelling Older People from the GAINA Study

et al. 2019

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Background Self-care agency is an important determinant of self-care behavior. The purpose of this study was to identify the causal relationship between self-care agency and healthy behavior, and to construct a conceptual model of healthy behavior among older people living in a rural community. Methods This study was conducted as a crosssectional survey at the Hino, a town in western Tottori Prefecture, Japan. Participants who were enrolled in the Good Ageing and Intervention against Nursing Care and Activity Decline (GAINA) study from 2014 to 2018 (467 new participants) were initially investigated. Of 398 participants aged ≥ 65 years, 5 were excluded due to missing data, and thus 393 were analyzed. Nurse researchers conducted face-to-face interviews with participants to check the accuracy of data obtained from a selfadministered questionnaire, which included demographic information, physical condition (comorbidities, knee pain, low back pain, and locomotive syndrome), healthy behavior, and self-care agency. Correlations among variables were investigated by Pearson's correlation coefficient analysis, and path analysis was performed to assess causal relationships. Results A total of 393 persons (160 men and 233 women) were investigated, ranging in age from 65 to 92 years, with a mean age of 75.1 years (SD: 6.9 years). Path analysis revealed poor fit of a model in which pain and locomotive syndrome were factors inhibiting healthy behavior. When the model included only self-care agency, the indices of model fit were almost satisfactory (Goodness-of-fit index = 0.967, Adjusted goodnessof-fit index = 0.900, Comparative fit index = 0.951, and Root mean square error of approximation = 0.088), and the coefficient of determination (R 2) was 0.38. The selfcare agency items with the greatest influence on healthy behavior were the ability to "grasp the techniques/tips needed to maintain health," and the ability to "persist with healthy behavior." Conclusion Self-care agency can promote healthy behavior among community-dwelling older people. Regardless of physical problems such as pain and locomotive syndrome, older people have the potential to adopt positive healthy behavior if they acquire self-care agency.

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“…Se puede hacer uso de los acelerómetros para analizar las afecciones espaciotemporales de la marcha en pacientes con osteoartritis de rodilla, enfermedad de Parkinson, adultos mayores. Adicionalmente, con esta medición se pueden detectar asimetrías en cuanto a la velocidad, acho de paso, cadencia y control de tronco que se relacionen con riesgo de caída y alteración del balance en posición estática y dinámica (5,11,12,(42)(43)(44)(45)(46)(47)(48)(49)(50). De hecho, la evaluación a través de acelerometría puede detectar alteraciones en la marcha como perturbaciones, temblores, pasos cortos en pacientes con enfermedad de Parkinson y ser una evaluación objetiva para dirigir tratamientos enfocados en la rehabilitación de estos factores y tener un seguimiento cuantitativo de los resultados del paciente debido a que los acelerómetros permiten evaluar en planos frontal, sagital, transversal detectando alteraciones antero posteriores y laterales (51-57).…”

Section: Análisis De Movimiento Corporal Humanounclassified

Usos De Los Acelerómetros en Fisioterapia: Una Revisión De La Literatura

Mantilla

2017

Riccafd

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En la actualidad, los dispositivos electrónicos se están convirtiendo en herramientas de innovación tecnológica en ciencias de la salud. Entre los nuevos dispositivos se encuentran los acelerómetros, los cuales son sensores electrónicos encargados de la medición de la aceleración durante el movimiento. En fisioterapia, el uso de la tecnología como medio de evaluación e intervención está tomando rumbos encaminados a desarrollar e implementar protocolos estandarizados y validados para la utilización de estos equipos, por tal motivo el objetivo de este artículo es realizar una revisión sistemática de la literatura con relación al uso de los acelerómetros en rehabilitación.

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Gait variability analysed using an accelerometer is associated with locomotive syndrome among the general elderly population: The GAINA study

Cited by 19 publications

References 31 publications

Locomotive syndrome presents a risk for falls and fractures in the elderly Japanese population

Locomotive syndrome presents a risk for falls and fractures in the elderly Japanese population

A Path Model Analysis of the Causal Relationship between Self-care Agency and Healthy Behavior in Community-dwelling Older People from the GAINA Study

Usos De Los Acelerómetros en Fisioterapia: Una Revisión De La Literatura

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