Evidence map›Paper›PMID 36001071›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2023

Who Gets Help? A National Longitudinal Study of Personal Networks and Pandemic Support Among Older Adults.

Molly Copeland, Hui Liu

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Caregiver social networks and discontinued support during COVID-19: a multilevel dyadic analysis.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Molly CopelandDepartment of Sociology, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0002-4311-2673
Hui LiuDepartment of Sociology, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0001-5519-148X
Michigan State University · US

Funding

Marriage, Cognitive Trajectories and ADRD Risk in Late LifeR01AG061118 · NIA · PURDUE UNIVERSITY · PI LIU, HUI · 2019 to 2022
$1.1M
NIA NIH HHS R01 AG061118
6 · The paper itself

Abstract

objectivesPersonal 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.

methodWe 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.

resultsLarger 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.

Indexed as

COVID-19PandemicsAgedAgingFemaleHumansLongitudinal StudiesMaleSocial SupportCOVID-19Gender and raceSocial networksSocial support

Identifiers

PMID36001071
PMCPMC9452150
OpenAlexW4293012051

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.