JAR Life · Dec 20, 2023

Discrimination of Frailty Phenotype by KinectTM-Based Stepping Parameters

By Osuka Y, Takeshima N, Kojima N et al.

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.

doi.org/10.14283/jarlife.2023.17 Open access PubMed 38186668 Biomarkers