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.
Keywords: KinectTM; aging; digital biomarker; frailty; mobility.
© The Author(s) 2023.