Abstract

Thailand began the transition to an aging society in 2005 and is now stepping towards a completely aging society in 2021. The elderly's health problems are diffcult to avoid. This research aims to analyze the most and least infiuential factors on the elderly's health status. The association analysis approach is applied to discover the relationship between various factors that affect good health. Data from 17,804 Thai elderly people from the National Statistical Offce (NSO) of Thailand were employed. One hundred ninety-nine features were taken into the association rules mining modeling. The FP-growth algorithm was chosen to find the largest and the smallest factors affecting the health of the elderly. The interesting relationships among those factors are also disclosed. As a result, the feature that promotes good health is performing daily activities independently. Such a feature occurred with a support value of 99.99 percent. Additionally, several features that are less likely to appear, lower than 0.1 percent of support value, in healthy seniors are hard work, working at risk, living in an urban society, living with unfamiliar caregivers, having few children, and lacking suffcient government medical care. The knowledge gained from the findings can be considered for preparing health care for the aging society.