==== Front
Innov Aging
Innov Aging
innovateage
Innovation in Aging
2399-5300 Oxford University Press US 

10.1093/geroni/igaa057.1312
igaa057.1312
Abstracts
Session 2955 (Poster)
Social Networks and Support I
AcademicSubjects/SOC02600
Social Networks and Depression Over Time: The Mediating Role of Social Support and Social Isolation
Visaria Abhijit  Sung Pildoo  Chan Angelique W M  
Duke-NUS Medical School, Singapore, Singapore
2020 
16 12 2020 
16 12 2020 
4 Suppl 1 Program Abstracts from The GSA 2020 Annual Scientific Meeting “Turning 75: Why Age Matters”407 408
© The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America.2020This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.Abstract
It is well established that a strong social network is an important factor for successful ageing, specifically for promoting and maintaining psychological wellbeing at older ages. Strong social networks are a source of social support especially at a time of need, and can also help older adults remain connected, active, and engaged in group activities. In this study, we seek to better understand the underlying pathways in the relationship between social networks and depressive symptoms, specifically comparing the extent to which the relationship is mediated by the receipt of material/monetary support, relative to perceived social isolation. We use data from the Panel on Health and Aging of Singaporean Elderly, a nationally-representative study of older Singapore citizens and permanent residents aged 60 years and older in 2009 (N=4990), with two follow-up surveys in 2011 (N=3103) and 2015 (N=1572). We conduct cross-lagged mediation analysis, and control for a number of potential confounders including cognitive function, chronic physical ailments, socioeconomic status, and demographic variables such as age, sex, marital status, and family size. Our preliminary analysis shows that a reciprocal relationship between social networks and depressive symptoms is mediated to a larger extent by social isolation compared to weaker social support.