転倒歴と疫学データに基づく主成分分析を用いた転倒リスクの要因抽出

抄録

Early detection of fracture risk is important to prevent fractures, which account for 12% of the causes of needing care. The current diagnosis of fracture risk is based on the FRAX index defined by the WHO. However, since this is a numerical assessment only for experts, it is difficult for patients to recognize their own fracture risk, and this does not lead to improved awareness of fracture prevention. Therefore, the authors obtained epidemiological data on 397 fracture-related items and conducted a follow-up survey on the fact of falling one year later in 136 elderly women in Hino-cho, Hino-gun, Tottori Prefecture. In this paper, we used the fact of falling, which is a risk factor for fracture, as a classification criterion, and extracted epidemiological data with high relevance to the fact of falling by principal component analysis of the epidemiological data, and expressed them in the form of a two-dimensional map. In addition, the reliability of the two-dimensional map was demonstrated by referring to the correlation between epidemiological data and the fact of falling.