Abstract

BackgroundThis paper has two objectives. Firstly, it provides an overview of the social network module, data collection procedures, and measurement of ego-centric and complete-network properties in the Korean Social Life, Health, and Aging Project (KSHAP). Secondly, it directly compares the KSHAP structure and results to the ego-centric network structure and results of the National Social Life, Health, and Aging Project (NSHAP), which conducted in-home interviews with 3,005 persons 57 to 85 years of age in the United States.MethodsThe structure of the complete social network of 814 KSHAP respondents living in Township K was measured and examined at two levels of networks. Ego-centric network properties include network size, composition, volume of contact with network members, density, and bridging potential. Complete-network properties are degree centrality, closeness centrality, betweenness centrality, and brokerage role.ResultsWe found that KSHAP respondents with a smaller number of social network members were more likely to be older and tended to have poorer self-rated health. Compared to the NSHAP, the KSHAP respondents maintained a smaller network size with a greater network density among their members and lower bridging potential. Further analysis of the complete network properties of KSHAP respondents revealed that more brokerage roles inside the same neighborhood (Ri) were significantly associated with better self-rated health. Socially isolated respondents identified by network components had the worst self-rated health.ConclusionsThe findings demonstrate the importance of social network analysis for the study of older adults’ health status in Korea. The study also highlights the importance of complete-network data and its ability to reveal mechanisms beyond ego-centric network data.

Highlights

  • Unlike the NSHAP, which collected data from a representative sample of American older adults, the KSHAP selected the entire population of older adults in Township K and asked them to provide the actual names of their social network members

  • Detailed information about the physical examinations and biomarkers are explained in another article [8], while this study focuses on the social network properties of KSHAP

  • People who felt closer to their social network members reported that they were living with their spouse and had better self-rated health

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Summary

Methods

The structure of the complete social network of 814 KSHAP respondents living in Township K was measured and examined at two levels of networks. Ego-centric network properties include network size, composition, volume of contact with network members, density, and bridging potential. Complete-network properties are degree centrality, closeness centrality, betweenness centrality, and brokerage role

Results
Conclusions
Background
12. Israel BA
16. Crawford MP
19. Bankoff EA
22. Cumming E
30. Van Tilburg T
32. Blazer DG
37. House JS
48. Litwin H
52. Emerson RM
69. Beauchamp MA
76. Burt RS
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