Feature Analysis of Metabolic Syndrome in the Specific Health Checkup from Lifestyle Questionnaire Data

Abstract

In this study, we demonstrated the Specific Health Checkup (SHC) stratification of Metabolic Syndrome (MS), the quantification of the questionnaire data and lifestyle factors by using of the data in 5,423 males examined the SHC in two years (2006, 2007) when SHC was initially started. Based on these data we analyzed the differences in lifestyle habits between Good group (non-MS to non-MS) - Bad group (MS to MS) and Improvement group (MS to non-MS) - Worse group (non-MS to MS) for the state movement from 2006 to 2007, and extracted the characteristics of lifestyle factors specifying MS. As a result, we could grasp the lifestyle habits characterized by the difference between non-MS and MS. In addition, the lifestyle factors that affect the transition between MS and non-MS. It is important for specific health guidance to recognize the existence of lifestyle factors that characterize MS and non-MS to take preventive measures for MS. In the future, we would like to connect our findings to the construction of a health support system that uses big data for specific medical examinations by linking to more accurate health guidance.