Abstract
OBJECTIVES: Personal networks provide social support for older adults, perhaps especially during the coronavirus disease 2019 (COVID-19) pandemic when traditional avenues may be disrupted. We provide one of the first population-based studies on how prepandemic personal networks predict support during the pandemic among older adults, with attention to gender and race variation. METHOD: We analyzed longitudinal data from the National Social Life, Health, and Aging Project Round 3 (2015/2016) and COVID-19 Round (2020; N = 2622, 55.68% female, 78.75% White, aged 50-99), a nationally representative survey of community-dwelling older Americans. We considered structure (i.e., size, density) and composition (i.e., proportion female and kin) of prepandemic personal networks, estimating multinomial logistic models to predict self-reported need and receipt of instrumental help and emotional support during the pandemic. RESULTS: Larger prepandemic confidant networks predicted higher risk of receiving needed pandemic help and support, higher risk of receiving help and support more often than prepandemic, and lower risk of being unable to get help. Denser prepandemic networks also predicted higher risk of receiving pandemic help and support. Furthermore, how network size and density related to support differed with respondent race and a greater proportion of kin in prepandemic networks predicted higher risk of receiving help for non-White older adults only. DISCUSSION: Older adults' prepandemic confidant network structure and composition can provide underlying conditions for receiving pandemic social support. Findings speak to policies and programs that aim to foster social support or identify vulnerable groups that suffer the greatest unmet need for support during a global crisis.