Discrimination of Frailty Phenotype by KinectTM-Based Stepping Parameters.

Abstract

Frailty increases the risk of falling, hospitalization, and premature death, necessitating practical early-detection tools. To examine the discriminative ability of KinectTM-based stepping parameters for identifying frailty phenotype. Population-based cross-sectional study. Eighteen neighborhoods near Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi, Tokyo, Japan. In total, 563 community-dwelling older adults aged ≥75 years without mobility limitations, neurological disease, or dementia were included. Step number (SN) and knee total movement distance (KMD) during a 20-s stepping test were evaluated using the KinectTM infrared depth sensor. 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). Stepping parameters evaluated using KinectTM provided acceptable ability in identifying frailty phenotype, making it a practical screening tool in primary care and home settings.