Relationship of Community Mobility, Vital Space, and Faller Status in Older Adults

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dc.contributor.authorRobles Cruz, Diego
dc.contributor.authorLira Belmar, Andrea
dc.contributor.authorFleury, Anthony
dc.contributor.authorLam, Méline
dc.contributor.authorCastro Andrade, Rossana M.
dc.contributor.authorPuebla Quiñones, Sebastián
dc.contributor.authorTaramasco Toro, Carla
dc.date.accessioned2025-01-22T19:22:59Z
dc.date.available2025-01-22T19:22:59Z
dc.date.issued0024-12
dc.descriptionINDEXACION SCOPUS
dc.description.abstractCommunity mobility, encompassing both active (e.g., walking) and passive (e.g., driving) transport, plays a crucial role in maintaining autonomy and social interaction among older adults. This study aimed to quantify community mobility in older adults and explore the relationship between GPS- and accelerometer-derived metrics and fall risk. Methods: A total of 129 older adults, with and without a history of falls, were monitored over an 8 h period using GPS and accelerometer data. Three experimental conditions were evaluated: GPS data alone, accelerometer data alone, and a combination of both. Classification models, including Random Forest (RF), Support Vector Machines (SVMs), and K-Nearest Neighbors (KNN), were employed to classify participants based on their fall history. Results: For GPS data alone, RF achieved 74% accuracy, while SVM and KNN reached 67% and 62%, respectively. Using accelerometer data, RF achieved 95% accuracy, and both SVM and KNN achieved 90%. Combining GPS and accelerometer data improved model performance, with RF reaching 97% accuracy, SVM achieving 95%, and KNN 87%. Conclusion: The integration of GPS and accelerometer data significantly enhances the accuracy of distinguishing older adults with and without a history of falls. These findings highlight the potential of sensor-based approaches for accurate fall risk assessment in community-dwelling older adults. © 2024 by the authors.
dc.identifier.doi10.3390/s24237651
dc.identifier.issn14248220
dc.identifier.urihttps://repositorio.unab.cl/handle/ria/63208
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.rights.licenseCC BY LICENSE
dc.subjectcommunity mobility; fall risk; gait patterns
dc.titleRelationship of Community Mobility, Vital Space, and Faller Status in Older Adults
dc.typeArtículo
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