Evidence map›Paper›PMID 42261269›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2026

Caregiver social networks and discontinued support during COVID-19: a multilevel dyadic analysis.

David P Kennedy, Esther M Friedman, James P Murphy, Allison Kirkegaard, Sarah Edgington, Daniela Golinelli, Regina Shih

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

David P KennedyIndependent Researcher, Los Angeles, California, United States.ORCID 0000-0001-7742-1792
Esther M FriedmanInstitute for Social Research, University of Michigan, Ann Arbor, Michigan, United States.ORCID 0000-0001-6813-6471
James P MurphyRAND Corporation, Santa Monica, California, United States.ORCID 0000-0001-5250-8357
Allison KirkegaardRAND Corporation, Santa Monica, California, United States.ORCID 0000-0002-2924-9868
Sarah EdgingtonRAND Corporation, Santa Monica, California, United States.ORCID 0009-0004-0962-0457
Daniela GolinelliRAND Corporation, Santa Monica, California, United States.ORCID 0000-0002-6433-1752
Regina ShihRAND Corporation, Santa Monica, California, United States.ORCID 0000-0003-0062-6356

Funding

Health, Wellbeing, and the Social Networks of Family Caregivers of People with Alzheimer's DiseaseR01AG066194 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FRIEDMAN, ESTHER M. · 2019 to 2024
$3.3M
NIA NIH HHS R01 AG066194NIH HHSNIH HHS R01 AG066194
6 · The paper itself

Abstract

objectivesFamily caregivers provide essential support to older adults, but their extended caregiving networks can be strained during crises. This study examines which characteristics of caregivers' personal networks were associated with discontinued support during the early stage of the COVID-19 pandemic, a period of widespread social disruption.

methodsWe analyzed data from the Care Network Connections over Time study, a longitudinal, nationally representative study of U.S. caregivers. Respondents (N = 2,116) reported on support before and during COVID-19. Multilevel logistic regression models assessed associations between discontinued support and network/caregiver characteristics while controlling for clustering within networks.

resultsSupport loss occurred among 5.84% of previously supportive network members. Discontinued support was significantly more likely when alters were Hispanic or of "other/multiple" race/ethnicity, aged <18 or >64, or were distant relatives or nonrelatives. Highly connected alters and those providing support to care recipients were less likely to have withdrawn support. At the network level, caregivers with low density, more diverse, or low care-recipient-supporting networks were more vulnerable to support discontinuation. DISCUSSION: Results demonstrate how caregiver network composition and connectivity shape social resilience under stress. Caregiving networks that have higher "bonding" social capital-densely interconnected and including close relatives and others who provide support to both caregivers and care recipients-may be more resilient due to strong support coordination and communication. Study insights can inform the development of support intervention strategies for caregivers. Findings suggest that promoting bonding capital in caregiver networks may help protect against the loss of critical support during crises.

Indexed as

CaregiversCOVID-19Social NetworkingSocial SupportAdultAgedFamily SupportFemaleHumansLongitudinal StudiesMaleMiddle AgedMultilevel AnalysisUnited StatesCaregivingEgocentric networksMultilevel modelingSocial capitalSocial support

Identifiers

PMID42261269
PMCPMC13353213

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.