2021 年 20 巻 2 号 p. 49-55
We proposed a model that represents health checkup data in binary according to data structure of the Specific Health Checkup and visually represents the state transition of health conditions. Each of four inspection factors (body type, blood sugar, lipids, and blood pressure) were expressed as binary variable using reference values in the Specific Health Checkup, yielding 16 health condition states, (0000) through (1111). The state transition probability (256 transitions x 4 age ranges) for each of four age groups were calculated. We then constructed a health state-transition model using two cubic lattices with eight vertices. We built our models each age groups and compared these models, and could show by those how people with certain health conditions are likely to continue to change in future. Our health state transition model provides an easy visual demonstration of the health state of examinees, as well as indicating direction of the state transition.