Factor Analysis of Locomotive Syndrome Through Principal Component Analysis and Construction of Diagnostic Model

摘要

The early detection of locomotive syndrome (here-inafter referred to as 'Locomo'), which requires nursing care, has recently gained importance. Hundred and five items presumed to be related to Locomo were examined for the elderly at Tottori University Hospital. In this study, the authors employed principal component analysis to extract the factors closely related to Locomo. Next, the Locomo diagnostic model was constructed using the extracted factors. Through k-division crossing verification, the visual evaluation of Locomo patients by physical therapists could be reproduced.