Social isolation prevalence estimates and trends over time: it depends on what you measure
Yulin Yang, Karla Renata, Flores Romero, Irena Cenzer, Carla Perissinotto, Mary Thoma, Ruijia Chen, Jacqueline Torres, Ashwin Kotwal

TL;DR
This study shows how different ways of measuring social isolation among older adults lead to varying estimates, especially during the pandemic.
Contribution
The paper highlights how measurement differences affect social isolation trends and disparities across demographic groups.
Findings
Social isolation prevalence increased during the pandemic in the HRS but fluctuated in the NHATS.
Subgroup differences in social isolation varied by race and ethnicity across studies and time periods.
Measurement differences must be reconciled to track trends and inform interventions.
Abstract
Social isolation is common among older adults and worsened during COVID-19, but its population-level trends surrounding the pandemic remain unclear. Variations in the measures of social isolation across surveys may contribute to discrepancies in prevalence estimates over time. This study examines social isolation prevalence using two population-based studies, comparing pre-pandemic and pandemic periods and evaluating variation across population subgroups. We analyzed data from the Health and Retirement Study (HRS, 2016–2022) and the National Health and Aging Trends Study (NHATS, 2019–2022). Social isolation was measured across three domains: household and core contacts, social network interaction, and community engagement. We estimated survey-weighted prevalence, adjusting for socio-demographic covariates, and evaluated subgroup differences by socio-demographics (e.g., race and…
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Taxonomy
TopicsHealth disparities and outcomes · COVID-19 and Mental Health · Chronic Disease Management Strategies
