Changes in Social Network Size and Older Adults’ Health During the COVID-19 Pandemic

Structural characteristics of older adults' social networks, including network size, affect mental and physical health, while health conditions can also spur changes in network size. Understanding these patterns is particularly important during a global pandemic that disrupted many older adults' social connections and health. Using nationally representative survey data from the National Health and Aging Trends Study (<i>n</i> = 2869), models examine (1) pre-pandemic depressive symptoms, chronic conditions, and self-rated health predicting personal network size stability, growth, and contraction over the early pandemic and (2) how changes in network size predict health. Results indicate that greater pre-pandemic chronic conditions and worse self-rated health predict network contraction during the pandemic, while greater pre-pandemic depressive symptoms predict network growth. Network contraction predicts higher depressive levels. Results speak to older adults' poor physical health increasing risks to social resources, while network contraction presents risks to mental health during a global health crisis.

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Publication Details

Journal
Journal of Applied Gerontology
Published
2025-10-27
DOI
https://doi.org/10.1177/07334648251389285
Primary Topic
Health disparities and outcomes
Type
article
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article

Changes in Social Network Size and Older Adults’ Health During the COVID-19 Pandemic

Molly Copeland, Gerald Roman Nowak, Hui Liu
Journal of Applied Gerontology
Health disparities and outcomes
article

Changes in Social Network Size and Older Adults’ Health During the COVID-19 Pandemic

Molly Copeland, Gerald Roman Nowak, Hui Liu
article en

Abstract

Structural characteristics of older adults' social networks, including network size, affect mental and physical health, while health conditions can also spur changes in network size. Understanding these patterns is particularly important during a global pandemic that disrupted many older adults' social connections and health. Using nationally representative survey data from the National Health and Aging Trends Study (<i>n</i> = 2869), models examine (1) pre-pandemic depressive symptoms, chronic conditions, and self-rated health predicting personal network size stability, growth, and contraction over the early pandemic and (2) how changes in network size predict health. Results indicate that greater pre-pandemic chronic conditions and worse self-rated health predict network contraction during the pandemic, while greater pre-pandemic depressive symptoms predict network growth. Network contraction predicts higher depressive levels. Results speak to older adults' poor physical health increasing risks to social resources, while network contraction presents risks to mental health during a global health crisis.

Journal of Applied Gerontology
University of Notre Dame (US), Purdue University West Lafayette (US), Michigan State University (US)
Openalex Percentile: Top 61%
Health disparities and outcomes
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Changes in Social Network Size and Older Adults’ Health During the COVID-19 Pandemic — Molly Copeland, Gerald Roman Nowak, et al. · Journal of Applied Gerontology (2025) | TGRS Research Map | TGRS