健康状態の評価尺度の構造化と指数化

Abstract

The purpose of the present study was to clarify the multi-dimensional spatial structures of conditions based on subjective and objective evaluations. In particular, poor health which is the transitional stage from positive to disease was diagnosed by a doctor in terms of medical checks in examinations. With this design, two types of self-rating questionnaires, consisting of 47 items related to the contents regarding physical and mental conditions based on subjective symptoms by self-estimation and 9 items related to consciousness and behavior for as well as measurements, such as physical fitness tests, and medical checks were administered to 608 middle-aged subjects. Then factor analysis was applied to the available data, and five factors were extracted. These factors could be regarded as structured scales on multi-dimensional figures. Next, principal components analyses were applied to the items that showed high factor loading. With this analysis, first principal components were extracted and interpreted as synthetic traits. Then, Hayashi's quantification method type III was applied to these traits in order to identify their locations on the multi-dimensional figure. As a result of this analysis, three phases representing subjectivity, objectivity, and consciousness, were extracted on two-dimensional space. By the combinations of these phases, it was possible to evaluate the condition from a multi-dimensional structural viewpoint. Next, Hayashi's quantification method type II were applied to the medical check items and principal components scores, respectively. The former was applied in order to confirm the predictive value of discriminating poor health, while the latter was applied in order to calculate the index number for the degree poor In the end, the linear function was computed from the latter analysis. It was suggested that this function was available as a index for distinguishing between poor health and good health.