Classification of Lonely Lives in Old Age and Exploration of Factors Leading to Lonely Lives
Title
Classification of Lonely Lives in Old Age and Exploration of Factors Leading to Lonely Lives
Alternative Author(s)
Her, Wonbin
; Oh, Young Sam
Keyword
Lonely Death
; Social Isolation
; Social Networks
; Functional Social Networks
; Structural Social Networks
Publication Year
2024-09-30
Publisher
Korea Institute for Health and Social Affairs
Citation
Health and Social Welfare Review Vol.44 No.3, pp.111-136
Abstract
The purpose of this study is to categorize the lonely lives of the elderly using social networks and to analyze the factors influencing lonely living. The analysis was conducted using the 2020 National Survey of Older Koreans, with a sample of 9,664 participants. In this study, social networks were divided into functional and structural social networks. The ‘functional social network’ consisted of the sum of emotional support, instrumental support, and physical support, while the ‘structural social network’ was composed of the frequency of interactions within the network and the frequency of social participation. The classification of lonely lives using structural and functional social networks showed that the functional network, based on whether the elderly lived alone or not, had strong discriminant validity, whereas the structural social network showed poor discriminant validity, and was not suitable for analysis. Therefore, the analysis based on functional social networks revealed that elderly individuals living alone or without a spouse are more likely to live lonely lives compared to those living with others or with a spouse. Elderly individuals with disabilities were more likely to live lonely lives compared to those without disabilities. Conversely, elderly individuals with a larger household size and those currently driving were less likely to live lonely lives. This study presents strategies for early identification of high-risk groups for lonely deaths by utilizing social networks. Based on these findings, the study provides practical and policy implications for early detection and intervention strategies for preventing lonely deaths.