A novel model to quantify balance alterations in older adults based on the center of pressure (CoP) measurements with a cross-sectional study

The timely detection of fall risk or balance impairment in older adults is transcendental because, based on a reliable diagnosis, clinical actions can be taken to prevent accidents. This study presents a statistical model to estimate the fall risk from the center of pressure (CoP) data. This study i...

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Bibliographic Details
Published in:PloS one 2021-08, Vol.16 (8), p.e0256129-e0256129
Main Authors: Estévez-Pedraza, Ángel Gabriel, Parra-Rodríguez, Lorena, Martínez-Méndez, Rigoberto, Portillo-Rodríguez, Otniel, Ronzón-Hernández, Zoraida
Format: Article
Language:English
Subjects:
Accident prevention
Adults
Aged
Area Under Curve
Balance
Biology and Life Sciences
Center of pressure
Chronic illnesses
Confidence intervals
Cross-Sectional Studies
Equilibrium (Physics)
Falls (Accidents)
Female
Geriatric Assessment - methods
Health risks
Humans
Independent Living
Laboratories
Male
Mathematical models
Medicine and Health Sciences
Mexico
Older people
People and Places
Physical Fitness - physiology
Physiological aspects
Postural Balance - physiology
Pressure
Prevention
Public health
Regression analysis
Regression models
Risk
Sensors
Statistical analysis
Statistical models
Velocity
Video Games
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Summary:The timely detection of fall risk or balance impairment in older adults is transcendental because, based on a reliable diagnosis, clinical actions can be taken to prevent accidents. This study presents a statistical model to estimate the fall risk from the center of pressure (CoP) data. This study is a cross-sectional analysis from a cohort of community-dwelling older adults aged 60 and over living in Mexico City. CoP balance assessments were conducted in 414 older adults (72.2% females) with a mean age of 70.23 ± 6.68, using a modified and previously validated Wii Balance Board (MWBB) platform. From this information, 78 CoP indexes were calculated and analyzed. Multiple logistic regression models were fitted in order to estimate the relationship between balance alteration and the CoP indexes and other covariables. The CoP velocity index in the Antero-Posterior direction with open eyes (MVELAPOE) had the best value of area under the curve (AUC) to identify a balance alteration (0.714), and in the adjusted model, AUC was increased to 0.827. Older adults with their mean velocity higher than 14.24 mm/s had more risk of presenting a balance alteration than those below this value (OR (Odd Ratio) = 2.94, p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0256129