SEMTree를 활용한 중고령층 삶의 만족도 변화의 하위 유형 탐색: 활동적 노화 요인을 중심으로

초록

The middle-aged and older adults have been perceived as socially vulnerable traditionally, but recently, the concept of ‘active ageing’ has gained attention, emphasizing their potential to function as the subject of a healthy lives. This study aims to identify key factors from various factors of active ageing(health, participation, security) that significantly affect longitudinal changes in life satisfaction among middle-aged and older adults using machine learning techniques. Utilizing data from the 5th to 9th waves of the Korean Longitudinal Study of Ageing, we applied SEMTree and SEMForest methods for analysis. The results identified subjective health, subjective expectation for how long to live, and total household income as major influential factors on changes in life satisfaction. Based on these covariates, four distinct subgroups with different trajectories of life satisfaction changes were classified. Additionally, variable importance analysis revealed that various active ageing factors related to health, participation, and security also affect changes in life satisfaction among the middle-aged and older adults. We discussed on interventions and approaches centered on active ageing to enhance life satisfaction among this group based on our results. This study is meaningful in that it empirically examines the relationship between various active ageing factors and longitudinal changes in life satisfaction using model-based data mining techniques.

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