TY - JOUR
T1 - A perceived community typology in older Korean Americans
T2 - implications for mental health
AU - Park, Nan Sook
AU - Kim, Jeongsuk
AU - Ko, Jung Eun
AU - Chung, Soondool
AU - Chiriboga, David A.
AU - Jang, Yuri
N1 - Publisher Copyright:
© 2024 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - Objectives: The aims of this study were to identify a community typology in older Korean Americans and to examine how the typology is associated with feelings of loneliness and mental distress. We hypothesized that distinct community groups would be identified and that they would be differentially associated with mental health and background characteristics. Method: Data were drawn from a survey with older Korean Americans aged 60 and older, collected during 2017−2018 in diverse locations (n = 2138). To identify a community typology, a series of latent profile analyses (LPA) were conducted using 15 community-related variables in three domains (neighbourhood characteristics, social cohesion, ethnic attachment). Results: Based on model evaluation criteria, an LPA model with five community groups was identified as the best fit. The five groups were identified as “safe/integrated” (10%), “safe/distant” (10%), “moderate integration” (38%), “marginal” (31%), and “vulnerable” (11%). After examining descriptive characteristics of the identified groups, regression models of loneliness and mental distress were estimated. Using the safe/integrated group as reference, the marginal and vulnerable groups were consistently associated with elevated feelings of loneliness and mental distress. Conclusions: The results suggest the need to understand community profiles and their relationships with health/well-being among older immigrants.
AB - Objectives: The aims of this study were to identify a community typology in older Korean Americans and to examine how the typology is associated with feelings of loneliness and mental distress. We hypothesized that distinct community groups would be identified and that they would be differentially associated with mental health and background characteristics. Method: Data were drawn from a survey with older Korean Americans aged 60 and older, collected during 2017−2018 in diverse locations (n = 2138). To identify a community typology, a series of latent profile analyses (LPA) were conducted using 15 community-related variables in three domains (neighbourhood characteristics, social cohesion, ethnic attachment). Results: Based on model evaluation criteria, an LPA model with five community groups was identified as the best fit. The five groups were identified as “safe/integrated” (10%), “safe/distant” (10%), “moderate integration” (38%), “marginal” (31%), and “vulnerable” (11%). After examining descriptive characteristics of the identified groups, regression models of loneliness and mental distress were estimated. Using the safe/integrated group as reference, the marginal and vulnerable groups were consistently associated with elevated feelings of loneliness and mental distress. Conclusions: The results suggest the need to understand community profiles and their relationships with health/well-being among older immigrants.
KW - loneliness
KW - mental distress
KW - Neighborhood
KW - older Korean Americans
KW - typology
UR - http://www.scopus.com/inward/record.url?scp=85208494950&partnerID=8YFLogxK
U2 - 10.1080/13607863.2024.2422907
DO - 10.1080/13607863.2024.2422907
M3 - Article
AN - SCOPUS:85208494950
SN - 1360-7863
JO - Aging and Mental Health
JF - Aging and Mental Health
ER -