Leveraging Egocentric Social Network Methodology to Understand Risk and Resiliency in Alzheimer’s Disease
Brea Perry, Siyun Peng

TL;DR
This paper explores how social networks affect Alzheimer's risk and cognitive resilience in older adults using egocentric network methods.
Contribution
The study introduces egocentric social network methodology to test social bridging and bonding theories in cognitive aging.
Findings
Egocentric networks help operationalize social bridging and bonding theories in cognitive aging.
Findings reveal specific mechanisms linking social connectedness to cognitive health and resilience.
Results highlight implications for addressing cognitive health disparities in older adults.
Abstract
Research suggests social connectedness reduces dementia risk and helps older adults with neuropathology maintain cognitive functionality and quality of life. However, relatively little empirical evidence identifies the specific underlying social and biological mechanisms. This presentation provides an overview of potential pathways through social bridging (i.e., cognitive enrichment through expansive social networks) and social bonding (i.e., neuroendocrine benefits of integration in cohesive social networks). We discuss egocentric social networks, which focus on the structure, function, and composition of ties between a single individual (i.e., the “ego”) and the people they are directly connected to (i.e., “alters”). This methodology is ideal for collecting relational data to operationalize social bridging and bonding theories and test hypotheses regarding risk and resilience in…
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Taxonomy
TopicsMental Health Research Topics · Health disparities and outcomes · Functional Brain Connectivity Studies
