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 obt...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
MDPI AG
2023
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/90775 |
| _version_ | 1848765424237281280 |
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| author | Presta, Valentina Galuppo, Laura Condello, Giancarlo Roda', Francesca Mirandola, Prisco Vitale, Marco Vaccarezza, Mauro Gobbi, Giuliana |
| author_facet | Presta, Valentina Galuppo, Laura Condello, Giancarlo Roda', Francesca Mirandola, Prisco Vitale, Marco Vaccarezza, Mauro Gobbi, Giuliana |
| author_sort | Presta, Valentina |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:35:02Z |
| format | Journal Article |
| id | curtin-20.500.11937-90775 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:35:02Z |
| publishDate | 2023 |
| publisher | MDPI AG |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-907752023-04-24T06:31:04Z Receiver Operating Characteristic Analysis of Posture and Gait Parameters to Prevent Frailty Condition and Fall Risk in the Elderly Presta, Valentina Galuppo, Laura Condello, Giancarlo Roda', Francesca Mirandola, Prisco Vitale, Marco Vaccarezza, Mauro Gobbi, Giuliana older people posture gait screening prevention ROC curve 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. 2023 Journal Article http://hdl.handle.net/20.500.11937/90775 10.3390/app13063387 English http://creativecommons.org/licenses/by/4.0/ MDPI AG fulltext |
| spellingShingle | older people posture gait screening prevention ROC curve Presta, Valentina Galuppo, Laura Condello, Giancarlo Roda', Francesca Mirandola, Prisco Vitale, Marco Vaccarezza, Mauro Gobbi, Giuliana Receiver Operating Characteristic Analysis of Posture and Gait Parameters to Prevent Frailty Condition and Fall Risk in the Elderly |
| title | Receiver Operating Characteristic Analysis of Posture
and Gait Parameters to Prevent Frailty Condition and Fall Risk
in the Elderly |
| title_full | Receiver Operating Characteristic Analysis of Posture
and Gait Parameters to Prevent Frailty Condition and Fall Risk
in the Elderly |
| title_fullStr | Receiver Operating Characteristic Analysis of Posture
and Gait Parameters to Prevent Frailty Condition and Fall Risk
in the Elderly |
| title_full_unstemmed | Receiver Operating Characteristic Analysis of Posture
and Gait Parameters to Prevent Frailty Condition and Fall Risk
in the Elderly |
| title_short | Receiver Operating Characteristic Analysis of Posture
and Gait Parameters to Prevent Frailty Condition and Fall Risk
in the Elderly |
| title_sort | receiver operating characteristic analysis of posture
and gait parameters to prevent frailty condition and fall risk
in the elderly |
| topic | older people posture gait screening prevention ROC curve |
| url | http://hdl.handle.net/20.500.11937/90775 |