Living arrangements, social networks and depressive symptoms among older men and women in Singapore.

Published

Journal Article

OBJECTIVES: To examine the association of living arrangements and social networks outside the household with depressive symptoms among older men and women, ascertain if these relationships differ between older men and women, and investigate whether the association of living arrangements with depressive symptoms varies by strength of social networks. METHODS: Data for 4489 community-dwelling Singaporeans, aged 60 years and older, from a recent nationally representative survey were analyzed. Depressive symptoms were assessed using the 11-item CES-D (Center for Epidemiologic Studies) scale, social networks through Lubben's revised social network scale, and living arrangements through household composition. Analysis was stratified by gender, and descriptive and multivariate statistics were used to assess the risk of depressive symptoms by living arrangements and social networks, adjusting for age, ethnic group, education, housing type, functional status, number of chronic diseases and involvement in social activities. RESULTS: Women had higher depressive symptom scores than men. Living alone and living with at least 1 child (no spouse) (relative to living with spouse and children), and weak social networks outside the household were associated with higher depressive symptom scores among both men and women. Men living alone with weak social networks outside the household had higher depressive symptom scores than those with strong networks. CONCLUSION: The findings have implications regarding the importance of strengthening non-familial social networks of older adults, particularly for those living alone.

Full Text

Duke Authors

Cited Authors

  • Chan, A; Malhotra, C; Malhotra, R; Ostbye, T

Published Date

  • June 2011

Published In

Volume / Issue

  • 26 / 6

Start / End Page

  • 630 - 639

PubMed ID

  • 20677171

Pubmed Central ID

  • 20677171

Electronic International Standard Serial Number (EISSN)

  • 1099-1166

Digital Object Identifier (DOI)

  • 10.1002/gps.2574

Language

  • eng

Conference Location

  • England