327P
Emotional Confidants in Ethnic Communities: Social Network Analysis of Korean American Older Adults
Methods. Data were drawn from a survey with 675 Korean American older residents of Central Florida (M age = 70.2, SD = 6.87). UCINET 6 was used to calculate in-degree centrality and visualize the network patterns. A predictive model of in-degree centrality was estimated using Poisson regression analysis, which is an optimal method for count data with a high level of skewness.
Results. In-degree centrality scores ranged from 0 to 7, with an average of 0.49 (SD = 0.95). The score distribution was non-normal (skewness = 2.66, SE = 0.09), and approximately 30% of the sample received at least one nomination. A higher level of in-degree centrality was predicted by male gender (B = 0.71, p < 0.001), advanced education (B = 0.55, p < 0.01), lower functional disability (B = −0.07, p < 0.05), fewer symptoms of depression (B = −0.04, p < 0.05), and higher levels of participation in social activities (B = 0.08, p < 0.001).
Discussion. The findings are in line with the notion of the Status Characteristics Theory (SCT) that personal characteristics and attributes determine one’s status in social interactions. Our findings suggest the application of SNA in identifying the key emotional support leaders in the community and utilizing them in community-based interventions. Given that the frequently-endorsed emotional confidants already play a role as non-professional peer counselors in the community, the findings call attention to the potential value of targeting them for educational programs on mental health. By promoting their mental health literacy and positive perceptions of mental health services, mental health needs in the community can be properly addressed.