journal articles
DISCRIMINATION OF FRAILTY PHENOTYPE BY KINECTTM-BASED STEPPING PARAMETERS
Y. Osuka, N. Takeshima, N. Kojima, T. Kohama, E. Fujita, M. Kusunoki, Y. Kato, W.F. Brechue, H. Sasai
J Aging Res & Lifestyle 2023;12:100-104
Background: Frailty increases the risk of falling, hospitalization, and premature death, necessitating practical early-detection tools.
OBJECTIVES: To examine the discriminative ability of KinectTM-based stepping parameters for identifying frailty phenotype
DESIGN: Population-based cross-sectional study
SETTING: Eighteen neighborhoods near Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi, Tokyo, Japan.
PARTICIPANTS: In total, 563 community-dwelling older adults aged ≥75 years without mobility limitations, neurological disease, or dementia were included.
MEASUREMENTS: Step number (SN) and knee total movement distance (KMD) during a 20-s stepping test were evaluated using the KinectTM infrared depth sensor.
RESULTS: The number (%) of participants with frailty were 51 (9.1). The area under the receiver operating characteristic curves (95% confidence interval) of a parameter consisting of SN and KMD for frailty was 0.72 (0.64, 0.79).
CONCLUSIONS: Stepping parameters evaluated using KinectTM provided acceptable ability in identifying frailty phenotype, making it a practical screening tool in primary care and home settings.
CITATION:
Y. Osuka ; N. Takeshima ; N. Kojima ; T. Kohama ; E. Fujita ; M. Kusunoki ; Y. Kato ; W.F. Brechue ; H. Sasai ; (2023): Discrimination of Frailty Phenotype by KinectTM-Based Stepping Parameters. The Journal of Aging and Lifestyle (JARLife). http://dx.doi.org/10.14283/jarlife.2023.17