Please use this identifier to cite or link to this item: https://doi.org/10.1159/000521213
Title: Transitions in Social Network Types over Time among Older Adults
Authors: Sung P. 
Malhotra R. 
Cheng G.H.-L. 
Chan A.W.-M. 
Keywords: Social network typology
Change in social network types
Latent transition analysis
Issue Date: 13-Jan-2022
Publisher: S. Karger AG
Citation: Sung P., Malhotra R., Cheng G.H.-L., Chan A.W.-M. (2022-01-13). Transitions in Social Network Types over Time among Older Adults. Gerontology : 1-12. ScholarBank@NUS Repository. https://doi.org/10.1159/000521213
Rights: Attribution-NonCommercial 4.0 International
Abstract: Objective: Network typology studies have identified heterogeneous types of older adults' social networks. However, little is known about stability and change in social network types over time. We investigate transitions in social network types among older adults, aged 60 years and older, and factors associated with such transitions. Methods: We used data on 1,305 older adults, participating in 2 waves of a national, longitudinal survey, conducted in 2016-2017 and 2019, in Singapore. Latent transition analysis identified the distinct types of social networks and their transition patterns between the waves. Multinomial logistic regression examined the association of baseline and change in physical, functional, and mental health and baseline sociodemographic characteristics with network transitions into more diverse or less diverse types. Results: We found 5 social network types at both waves, representing the most to the least diverse types - diverse, unmarried and diverse, extended family, immediate family, and restricted. Between waves, about 57% of respondents retained their social network type, whereas 24% transitioned into more diverse types and 19% into less diverse types. Those who were older and less educated and those with worsening functional and mental health were more likely to transition into less diverse types versus remaining in the same type. Discussion: The findings capture the dynamics in social network composition among older adults in the contemporary aging society. We highlight sociodemographic and health disparities contributing to later life social network diversity.
Source Title: Gerontology
URI: https://scholarbank.nus.edu.sg/handle/10635/219244
ISSN: 1423-0003
DOI: 10.1159/000521213
Rights: Attribution-NonCommercial 4.0 International
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