2019 Volume 39 Issue 2 Pages 85-98
The purpose of this study is to provide effective support for improvement of lifestyle habits of Type 2 diabetic patients in the area and proposal of effect indicators of that support. We visualized factors that influence “intention to improve lifestyle habits” and their regional characteristics. We also examined the effect of that patient improving lifestyle habits. We constructed a Bayesian network model using patient ID and postal code with injury name “2 type diabetes” and specific health checkup data items of Iwamizawa City Hokkaido National Health Insurance Reception Data. The model in urban areas showed that exercise habits of more than 30 minutes and BMI had a direct influence on ‘intention to improve lifestyle habits’. In addition, the model in the rural area showed that exercise habits of 30 minutes or more and weight change, sex, and drunk habit from 20 years have a direct influence. Furthermore, it was suggested that improving lifestyle habits would affect “weight change per year”.
