Validity and reliability of a tool for accelerometric assessment of static balance in women

Abstract Purpose: The aim of this study was to identify factors of balance and items explaining each of them and then, using a model based on accelerometric variables, to develop an easy-to-apply tool for assessing static balance. Materials and methods: A descriptive and cross-sectional study was carried out in a random sample of 145 adult women (63.8 ± 8.4 years). Participants performed the following randomised tests of static equilibrium tests: monopodal balance with eyes closed; bipodal balance on mat with eyes open; bipodal balance with eyes closed; monopodal balance with eyes open and monopodal balance on mat with eyes closed. Each test was performed three times and an average calculated. Results: The resulting scale had three factors: monopodal balance on mat with eyes open, with four items; monopodal balance with eyes open, with four items; monopodal balance with eyes closed, with three items. Conclusions: This tool is easy to apply and analyse, and presents good criterion validity for explaining the state of static balance based on the accelerations of the centre of mass.

[1]  Merryn J Mathie,et al.  Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement , 2004, Physiological measurement.

[2]  J. D. Janssen,et al.  A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity , 1997, IEEE Transactions on Biomedical Engineering.

[3]  S. J. Redmond,et al.  Sensors-Based Wearable Systems for Monitoring of Human Movement and Falls , 2012, IEEE Sensors Journal.

[4]  Michael E Hahn,et al.  Can motion of individual body segments identify dynamic instability in the elderly? , 2003, Clinical biomechanics.

[5]  E. Peterson,et al.  Falls, aging, and disability. , 2010, Physical medicine and rehabilitation clinics of North America.

[6]  R. Moe-Nilssen Test-retest reliability of trunk accelerometry during standing and walking. , 1998, Archives of physical medicine and rehabilitation.

[7]  E. D. de Bruin,et al.  Concurrent validity of a trunk tri-axial accelerometer system for gait analysis in older adults. , 2009, Gait & posture.

[8]  S. Kritchevsky,et al.  The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. , 2006, The journals of gerontology. Series A, Biological sciences and medical sciences.

[9]  J. García-Soidán,et al.  Identificación de puntos de referencia anatómicos para la valoración del equilibrio mediante dispositivos cinemáticos , 2015 .

[10]  A. Monsch,et al.  Identifying a cut-off point for normal mobility: a comparison of the timed 'up and go' test in community-dwelling and institutionalised elderly women. , 2003, Age and ageing.

[11]  M. Weinstein,et al.  Preventing Falls in Older Adults: A Multifactorial Approach , 2006 .

[12]  R. Moe-Nilssen,et al.  A new method for evaluating motor control in gait under real-life environmental conditions. Part 1: The instrument. , 1998, Clinical biomechanics.

[13]  David A. Winter,et al.  Human balance and posture control during standing and walking , 1995 .

[14]  Jorunn L Helbostad,et al.  Short-term repeatability of body sway during quiet standing in people with hemiparesis and in frail older adults. , 2004, Archives of physical medicine and rehabilitation.

[15]  Yeh-Liang Hsu,et al.  A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring , 2010, Sensors.

[16]  Mau-Roung Lin,et al.  Psychometric Comparisons of the Timed Up and Go, One‐Leg Stand, Functional Reach, and Tinetti Balance Measures in Community‐Dwelling Older People , 2004, Journal of the American Geriatrics Society.

[17]  L. Bouter,et al.  Fall-risk screening test: a prospective study on predictors for falls in community-dwelling elderly. , 2001, Journal of clinical epidemiology.

[18]  J. Kofman,et al.  Review of fall risk assessment in geriatric populations using inertial sensors , 2013, Journal of NeuroEngineering and Rehabilitation.

[19]  T. Strandberg,et al.  Frailty in elderly people , 2007, The Lancet.

[20]  S. Straus,et al.  Using the systems framework for postural control to analyze the components of balance evaluated in standardized balance measures: a scoping review. , 2015, Archives of physical medicine and rehabilitation.

[21]  David Howard,et al.  A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data , 2009, IEEE Transactions on Biomedical Engineering.

[22]  Beatrix Vereijken,et al.  Physical activity monitoring by use of accelerometer-based body-worn sensors in older adults: a systematic literature review of current knowledge and applications. , 2012, Maturitas.

[23]  D. Sterling,et al.  Geriatric falls: injury severity is high and disproportionate to mechanism. , 1998, The Journal of trauma.

[24]  Kang Hee Cho,et al.  Effect of Lower Limb Strength on Falls and Balance of the Elderly , 2012, Annals of rehabilitation medicine.

[25]  W. Willett,et al.  Comparative performance of current definitions of sarcopenia against the prospective incidence of falls among community-dwelling seniors age 65 and older , 2015, Osteoporosis International.

[26]  Alex Mihailidis,et al.  Reducing fall risk by improving balance control: development, evaluation and knowledge-translation of new approaches. , 2011, Journal of safety research.

[27]  G Kamen,et al.  Detecting Balance Deficits in Frequent Fallers Using Clinical and Quantitative Evaluation Tools , 1998, Journal of the American Geriatrics Society.

[28]  Kenneth Meijer,et al.  Activity identification using body-mounted sensors—a review of classification techniques , 2009, Physiological measurement.

[29]  Erika Nelson-Wong,et al.  Increased fall risk is associated with elevated co-contraction about the ankle during static balance challenges in older adults , 2011, European Journal of Applied Physiology.

[30]  S. Owen,et al.  Effect of intense strength training on standing balance, walking speed, and sit-to-stand performance in older adults. , 2001, The journals of gerontology. Series A, Biological sciences and medical sciences.