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Stress, Social Isolation Profiles, and Depressive Symptoms Among Older Adults in a Low-Income Community in Singapore

Authors
Sung, PildooKoh, Vanessa Jean WenChan, Angelique
Issue Date
Dec-2025
Publisher
John Wiley & Sons Inc.
Keywords
depressive symptoms; latent class analysis; loneliness; Singapore; social isolation; stress buffering
Citation
International Journal of Geriatric Psychiatry, v.40, no.12, pp 1 - 11
Pages
11
Indexed
SCIE
SSCI
SCOPUS
Journal Title
International Journal of Geriatric Psychiatry
Volume
40
Number
12
Start Page
1
End Page
11
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210301
DOI
10.1002/gps.70183
ISSN
0885-6230
1099-1166
Abstract
Objectives: To identify distinct social isolation profiles and their associations, both direct and stress-moderating, with depressive symptoms using objective and subjective indicators of social isolation among older adults in a low-income community. Methods: Latent class analysis and multivariable regression were conducted with data from 881 individuals aged 60 years or above residing in public rental housing in the Chin Swee area of Singapore. Results: Four profiles emerged: “well-connected and less lonely” (27.9%), “structurally isolated but less lonely” (56.4%), “somewhat isolated and moderately lonely” (11.3%), and “severely isolated and highly lonely” (4.4%). The latter two profiles demonstrated significantly greater depressive symptoms than the former two. Additionally, the “somewhat isolated and moderately lonely” profile showed heightened vulnerability to stressors, exhibiting stronger associations between life stressors and depressive symptoms compared with the “well-connected and less lonely” profile. Conclusions: Subjective loneliness, more so than objective structural isolation, is pivotal in shaping older adults' mental health and stress vulnerability within low-income settings. Interventions should consider decoupling loneliness from social isolation, tailoring support to the specific needs associated with different social isolation profiles.
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