Evidence map›Paper›PMID 35150949›Full record

ArticleGeriatric nursing (New York, N.Y.)

The impact of COVID-19 on older adults: Results from an annual survey.

Rachel Ungar, Lizi Wu, Stephanie MacLeod, Rifky Tkatch, Jinghua Huang, Sandra Kraemer, James Schaeffer, Charlotte Yeh

Open access · hybridAbstract read
In one paragraph

Article in Geriatric nursing (New York, N.Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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  6. International journal of environmental research and public health · 2022
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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

8 authors at 2 institutions in 1 country.

Rachel UngarResearch for Aging Populations, OptumLabs, 315 E. Eisenhower Parkway, Suite 305, Ann Arbor, MI 48108, United States. Electronic address: rachel.ungar@optum.com.
Lizi WuResearch for Aging Populations, OptumLabs, 315 E. Eisenhower Parkway, Suite 305, Ann Arbor, MI 48108, United States.
Stephanie MacLeodResearch for Aging Populations, OptumLabs, 315 E. Eisenhower Parkway, Suite 305, Ann Arbor, MI 48108, United States.
Rifky TkatchResearch for Aging Populations, OptumLabs, 315 E. Eisenhower Parkway, Suite 305, Ann Arbor, MI 48108, United States.
Jinghua HuangResearch for Aging Populations, OptumLabs, 315 E. Eisenhower Parkway, Suite 305, Ann Arbor, MI 48108, United States.
Sandra KraemerMedicare and Retirement, UnitedHealthcare Alliances, 9800 Health Care Lane, MN 006-E500, Minneapolis, MN 55343, United States.
James SchaefferResearch for Aging Populations, OptumLabs, 315 E. Eisenhower Parkway, Suite 305, Ann Arbor, MI 48108, United States.
Charlotte YehAARP Services Inc., 601 E. Street, N.W. Washington, D.C. 20049, United States.
Optum (United States) · USAARP · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAssess well-being among older adults through secondary analysis measured during an annual survey in 2018, 2019, and 2020, to determine trends from before and during the COVID-19 pandemic.

methodsMailed surveys sent annually included measures related to various psychosocial factors. MAIN

findingsResponse rates were 29% in 2018, 25% in 2019, and 24% in 2020. Most respondents reported average or high resilience (89% 2018-2020), high purpose (64% in 2018 and 2019, 63% in 2020), moderate optimism (46% in 2019, 44% in 2020) and low stress (88% in 2019 and 2020). Reported loneliness increased 13% from 2018 to 2020. In 2020, only 45% reported high comfort with technology, decreasing with age (>75). PRINCIPAL

conclusionPsychosocial well-being of respondents were doing well despite changes related to COVID-19. However, increased loneliness may negatively impact long-term health outcomes; thus, a focus on technology options to stay socially connected and access healthcare are needed.

Indexed as

LonelinessResilience, PsychologicalAgedCOVID-19HumansPandemicsSurveys and QuestionnairesCOVID-19LonelinessResilienceTechnology

Identifiers

PMID35150949
PMCPMC8801306
OpenAlexW4210287965

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.