A Study on Predictors of Life Satisfaction of Single-Person Households by Life Cycle using Decision Tree Analysis : Focusing on Single-Person Households in Busan

This study aimed to improve life satisfaction of single-person households by exploring factors that could predict life satisfaction for single-person households by life cycle. It also aimed to find support measures that could reflect characteristics of each age group. To analyze predictors of life satisfaction for single-person households, 300 young single-person households, 300 middle-aged single-person households, and 300 elderly single-person households were surveyed, and decision tree analysis was performed. Analysis results are as follows. Without inputting predictors, 71.7% of single-person youth households, 57.7% of single-person middle-aged, and 42.7% of single-person elderly households had high life satisfaction. Variables that predicted the highest level of life satisfaction in single-person households were dietary level and physical health factors among young people, social relations, safety awareness, and depression factors among middle-aged people, and physical health, anxiety, and loneliness factors among the elderly. As such, predictors of life satisfaction in single-person households by age were different. Thus, it is necessary to provide support suitable for characteristics of single-person households by age.