THE CO-EVOLUTION OF LONELINESS AND COMPANIONSHIPS IN AN ASSISTED LIVING COMMUNITY: A SOCIAL NETWORK ANALYSIS

Abstract Loneliness and social isolation are distinct constructs that tend to be moderately correlated. The Evolutionary Theory of Loneliness posits that loneliness can motivate people to increase or improve their social ties. However, interrelated factors including loneliness, desired relationship quality/quantity, actual relationships, and appraisals of existing social networks may affect whether loneliness leads to increased social ties. In assisted living communities (ALCs) most opportunities for socializing with non-family members occur within the community, restricting residents’ pool of potential friends and companions. This study investigates the co-evolution of loneliness and companionship ties among older residents in an ALC using three waves of secondary data from the Social Experiences in Assisted Living (SEAL) study. We estimated a stochastic actor-oriented network-behavioral co-evolution model for companionship and loneliness dynamics in a network of 38 ALC residents to understand the reciprocal effects of loneliness and companionships. We found that increased levels of loneliness were significantly associated with a decreased likelihood of subsequently maintaining or adding companionship ties among other residents (ϴ = -.131, p <.01). Changes in companionship ties were not significantly associated with changes in levels of loneliness. Greater frequency of contact with family members was significantly negatively associated with the likelihood of companionship ties with other residents (ϴ = -.113, p <.05), but was not significantly associated with levels of loneliness. These findings do not support the hypothesis that increased levels of loneliness lead to maintaining or adding companions in the ALC and have implication for both theory and practice.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2024-12-01
DOI
https://doi.org/10.1093/geroni/igae098.0105
Primary Topic
Innovative Approaches in Technology and Social Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE CO-EVOLUTION OF LONELINESS AND COMPANIONSHIPS IN AN ASSISTED LIVING COMMUNITY: A SOCIAL NETWORK ANALYSIS

Rebecca L. Mauldin, Joel A. Kirsh, Kayo Fujimoto
Innovation in Aging
Innovative Approaches in Technology and Social Development
article

THE CO-EVOLUTION OF LONELINESS AND COMPANIONSHIPS IN AN ASSISTED LIVING COMMUNITY: A SOCIAL NETWORK ANALYSIS

Rebecca L. Mauldin, Joel A. Kirsh, Kayo Fujimoto
article en

Abstract

Abstract Loneliness and social isolation are distinct constructs that tend to be moderately correlated. The Evolutionary Theory of Loneliness posits that loneliness can motivate people to increase or improve their social ties. However, interrelated factors including loneliness, desired relationship quality/quantity, actual relationships, and appraisals of existing social networks may affect whether loneliness leads to increased social ties. In assisted living communities (ALCs) most opportunities for socializing with non-family members occur within the community, restricting residents’ pool of potential friends and companions. This study investigates the co-evolution of loneliness and companionship ties among older residents in an ALC using three waves of secondary data from the Social Experiences in Assisted Living (SEAL) study. We estimated a stochastic actor-oriented network-behavioral co-evolution model for companionship and loneliness dynamics in a network of 38 ALC residents to understand the reciprocal effects of loneliness and companionships. We found that increased levels of loneliness were significantly associated with a decreased likelihood of subsequently maintaining or adding companionship ties among other residents (ϴ = -.131, p <.01). Changes in companionship ties were not significantly associated with changes in levels of loneliness. Greater frequency of contact with family members was significantly negatively associated with the likelihood of companionship ties with other residents (ϴ = -.113, p <.05), but was not significantly associated with levels of loneliness. These findings do not support the hypothesis that increased levels of loneliness lead to maintaining or adding companions in the ALC and have implication for both theory and practice.

Innovation in AgingVol. 8(Supplement_1)
The University of Texas at Arlington (US), The University of Texas Health Science Center at Houston (US)
Openalex Percentile: Top 58%
Innovative Approaches in Technology and Social Development
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.