Evidence map›Paper›PMID 34010355›Full record

ArticlePloS one2021

Measures of self- and other-directed ageism and worries concerning COVID-19 health consequences: Results from a nationally representative sample of Israelis over the age of 50.

Liat Ayalon, Ella Cohn-Schwartz

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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
1.0field-weighted citation impact, top 25% 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, 8 citations in OpenAlex.

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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 2 institutions in 1 country.

Liat AyalonLouis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel.ORCID 0000-0003-3339-7879
Ella Cohn-SchwartzGerontology Program, School of Public Health, Ben Gurion University of the Negev, Beersheba, Israel.
Bar-Ilan University · ILBen-Gurion University of the Negev · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worries associated with COVID-19 health consequences are well-justified. They may motivate people to take safety precautions, but may hinder if they become too intense. Current research has examined mainly age and gender as potential correlates associated with worries. This study instead, is focused on self-perceptions of aging (SPA) and perceived age discrimination as potential predictors of worry, in the light of the ageism pandemic which has co-occurred with the COVID-19 outbreak. The study is based on a national sample of 1,092 adults aged 50 and above in Israel. Phone interviews were conducted between March 29 2020 and May 3 2020, when Israel gradually moved from strict to partial lockdown. Respondents were queried about their worries related to COVID-19 health consequences, demographic characteristics, known-risk factors, SPA and perceived age-based discrimination in the healthcare system. Our findings show that in addition, to sex, financial status and chronic illness, SPA and age-based discrimination in the healthcare were significant predictors of worries and explained additional 8% of the variance. The findings point to the potentially negative impact of the ageism pandemic in an area that has not received much attention, thus far, namely people's worries. Interventions that address ageism directed by self or others might alleviate worries in the midst of the COVID-19 pandemic.

Indexed as

AgedAged, 80 and overAgeismAnxietyCommunicable Disease ControlCOVID-19FemaleHumansIsraelMaleMiddle AgedPandemicsSARS-CoV-2Self ConceptSelf Report

Identifiers

PMID34010355
PMCPMC8133423
OpenAlexW3160539481

What OpenQuestion holds

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LicenceCC BY
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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.