Identification of latent profiles of social isolation based on structural and functional aspects

Abstract Social isolation negatively impacts health, and incorporating multidimensional indicators into its measurement may better capture its complexity. This study examined latent profiles of older adults based on social isolation indicators and explored how various factors are associated with profile membership. Participants included 5,466 older adults aged 65 + (Mage = 75.16) from the 2012 and 2014 waves of the Health and Retirement Study. Social isolation was measured through both structural (contact frequency with children/other family members/friends and social participation) and functional (loneliness and social support) aspects. Furthermore, the study incorporated sociodemographic, psychological, environmental, and health-related factors as covariates. Latent Profile Analysis and logistic regression were conducted using Mplus. Results exhibited five social isolation group profiles: (1) ‘highly socially engaged’ (6%), (2) ‘moderately socially engaged’ (20%), (3) ‘moderately isolated, but not lonely’ (46%), (4) ‘socially active but unsupported’ (12%), and (5) ‘most socially isolated’ (16%). Structural and functional aspects of social isolation were generally aligned. However, the presence of the ‘socially active but unsupported’ group suggests that engagement in social activities does not necessarily equate to strong social support. Lower education levels were consistently associated with less social engagement across groups and men tended to belong to socially isolated groups more than women. Compared to the ‘highly socially engaged’ group, all other groups showed lower levels of extraversion and openness. The ‘moderately isolated, but not lonely’ and ‘most socially isolated’ groups exhibited worse cognition, more chronic conditions, and greater depressive symptoms. The findings reveal distinct typologies of social isolation among older adults.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.3111
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of latent profiles of social isolation based on structural and functional aspects

Elizabeth M. Zelinski, Teal S. Eich, Dokyung Yoon
Innovation in Aging
Health disparities and outcomes
article

Identification of latent profiles of social isolation based on structural and functional aspects

Elizabeth M. Zelinski, Teal S. Eich, Dokyung Yoon
article en

Abstract

Abstract Social isolation negatively impacts health, and incorporating multidimensional indicators into its measurement may better capture its complexity. This study examined latent profiles of older adults based on social isolation indicators and explored how various factors are associated with profile membership. Participants included 5,466 older adults aged 65 + (Mage = 75.16) from the 2012 and 2014 waves of the Health and Retirement Study. Social isolation was measured through both structural (contact frequency with children/other family members/friends and social participation) and functional (loneliness and social support) aspects. Furthermore, the study incorporated sociodemographic, psychological, environmental, and health-related factors as covariates. Latent Profile Analysis and logistic regression were conducted using Mplus. Results exhibited five social isolation group profiles: (1) ‘highly socially engaged’ (6%), (2) ‘moderately socially engaged’ (20%), (3) ‘moderately isolated, but not lonely’ (46%), (4) ‘socially active but unsupported’ (12%), and (5) ‘most socially isolated’ (16%). Structural and functional aspects of social isolation were generally aligned. However, the presence of the ‘socially active but unsupported’ group suggests that engagement in social activities does not necessarily equate to strong social support. Lower education levels were consistently associated with less social engagement across groups and men tended to belong to socially isolated groups more than women. Compared to the ‘highly socially engaged’ group, all other groups showed lower levels of extraversion and openness. The ‘moderately isolated, but not lonely’ and ‘most socially isolated’ groups exhibited worse cognition, more chronic conditions, and greater depressive symptoms. The findings reveal distinct typologies of social isolation among older adults.

Innovation in AgingVol. 9(Supplement_2)
University of Southern California (US)
Reduced inequalities
Openalex Percentile: Top 27%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Identification of latent profiles of social isolation based on structural and functional aspects — Elizabeth M. Zelinski, Teal S. Eich, et al. · Innovation in Aging (2025) | TGRS Research Map | TGRS