Receiver Operating Characteristic Analysis of Posture and Gait Parameters to Prevent Frailty Condition and Fall Risk in the Elderly

Prevention strategies should be constantly improved to manage falls and frailty in the elderly. Therefore, we aimed at creating a screening and predictive protocol as a replicable model in clinical settings. Bioimpedance analysis was conducted on fifty subjects (mean age 76.9 ± 3.69 years) to obtain...

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Published inApplied sciences Vol. 13; no. 6; p. 3387
Main Authors Presta, Valentina, Galuppo, Laura, Condello, Giancarlo, Rodà, Francesca, Mirandola, Prisco, Vitale, Marco, Vaccarezza, Mauro, Gobbi, Giuliana
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2023
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ISSN2076-3417
2076-3417
DOI10.3390/app13063387

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Abstract Prevention strategies should be constantly improved to manage falls and frailty in the elderly. Therefore, we aimed at creating a screening and predictive protocol as a replicable model in clinical settings. Bioimpedance analysis was conducted on fifty subjects (mean age 76.9 ± 3.69 years) to obtain body composition; then, posture was analysed with a stabilometric platform. Gait performance was recorded by a 10 m walking test, six-minute walking test, and timed up and go test. After 12 months, subjects were interviewed to check for fall events. Non-parametric analysis was used for comparisons between fallers and non-fallers and between able and frail subjects. ROC curves were obtained to identify the predictive value of falling risk and frailty. Path length (area under the curve, AUC = 0.678), sway area (AUC = 0.727), and sway speed (AUC = 0.778) resulted predictive factors of fall events (p < 0.05). The six-minute walking test predicted frailty condition (AUC = 0.840). Timed up and go test was predictive of both frailty (AUC = 0.702) and fall events (AUC = 0.681). Stabilometry and gait tests should be, therefore, included in a screening protocol for the elderly to prevent fall events and recognize the condition of frailty at an early stage.
AbstractList Prevention strategies should be constantly improved to manage falls and frailty in the elderly. Therefore, we aimed at creating a screening and predictive protocol as a replicable model in clinical settings. Bioimpedance analysis was conducted on fifty subjects (mean age 76.9 ± 3.69 years) to obtain body composition; then, posture was analysed with a stabilometric platform. Gait performance was recorded by a 10 m walking test, six-minute walking test, and timed up and go test. After 12 months, subjects were interviewed to check for fall events. Non-parametric analysis was used for comparisons between fallers and non-fallers and between able and frail subjects. ROC curves were obtained to identify the predictive value of falling risk and frailty. Path length (area under the curve, AUC = 0.678), sway area (AUC = 0.727), and sway speed (AUC = 0.778) resulted predictive factors of fall events (p < 0.05). The six-minute walking test predicted frailty condition (AUC = 0.840). Timed up and go test was predictive of both frailty (AUC = 0.702) and fall events (AUC = 0.681). Stabilometry and gait tests should be, therefore, included in a screening protocol for the elderly to prevent fall events and recognize the condition of frailty at an early stage.
Audience Academic
Author Galuppo, Laura
Vaccarezza, Mauro
Rodà, Francesca
Presta, Valentina
Mirandola, Prisco
Gobbi, Giuliana
Condello, Giancarlo
Vitale, Marco
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Snippet Prevention strategies should be constantly improved to manage falls and frailty in the elderly. Therefore, we aimed at creating a screening and predictive...
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SubjectTerms Aging
Arthritis
Balance
Dementia
Economic impact
Falls
Falls (Accidents)
Frailty
Gait
Geriatrics
Hospitalization
Long term health care
Mortality
Older people
Osteoarthritis
Physical fitness
Posture
Prevention
Proprioception
Questionnaires
ROC curve
screening
Social isolation
Walking
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Title Receiver Operating Characteristic Analysis of Posture and Gait Parameters to Prevent Frailty Condition and Fall Risk in the Elderly
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https://doaj.org/article/218178d66d874a75834393c67041a2ca
Volume 13
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