Analysis of the relation between health statistics and eating habits in Japanese prefectures using fuzzy robust regression model.

In recent years, the Japanese Ministry of Health, Labour, and Welfare is working to improve citizen׳s lifestyle and social environment to improve their health. This is because of the following reasons. Diseases related to lifestyle such as malignant neoplasms, heart disease, and cerebrovascular disease account for about 60% of the deaths in 2013. In addition, 32% of all medical expenditures are made on lifestyle-related disease. Lifestyle-related diseases can be prevented by daily exercise, a well-balanced diet, and not smoking. This ministry is promoting measures such as dietary education, physical activity, and exercise. Improvement of diet is the easiest way to reduce the occurrence of lifestyle-related diseases. Thus, in this paper, we analyze the relation between health and diet using our fuzzy robust regression model.

Analysis of Medical Care Expenditure by Japanese Prefecture using Fuzzy Robust Regression Model.

In 2012, 15.13% of the total fiscal medical care expenditure was for lifestyle-related health care costs, which was approximately 179 billion yen. Lifestyle-related diseases are not only the biggest factor in reducing healthy life expectancy but also have the most significant impact on the national medical care expenditure. In addition, lifestyle-related diseases can be prevented by moderate daily exercise, a well-balanced diet, and not smoking. Our fuzzy robust regression model is a controllable model describing a target system. Therefore, our model is used to analyze the relation between medical care expenditure and selected lifestyle factors.