Evidence map›Paper›PMID 33262724›Full record

ArticleFrontiers in psychology2020

Psychological Pathways Linking Public Trust During the Coronavirus Pandemic to Mental and Physical Well-being.

Ayokunle A Olagoke, Olakanmi O Olagoke, Ashley M Hughes

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

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  3. Post-Pandemic Surges in Public Trust in the United Kingdom.Behavioral sciences (Basel, Switzerland) · 2025
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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

3 authors at 3 institutions in 1 country.

Ayokunle A OlagokeDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, IL, United States.
Olakanmi O OlagokeDepartment of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, United States.
Ashley M HughesCenter of Innovations in Chronic and Complex Healthcare, Edward Hines Jr. VA Medical Center, Hines, IL, United States.
Edward Hines, Jr. VA Hospital · USJohn H. Stroger, Jr. Hospital of Cook County · USUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The well-being of the public during the 2019 coronavirus (COVID-19) pandemic is deeply rooted in institutional trust in the government's risk communication effort. The objective of this study was to examine the psychological pathway through which public trust in the government is associated with mental and physical well-being. We collected cross-sectional data from 501 participants aged ≥18 years using an online panel. Public trust in the government was assessed as our exposure variable. We screened for psychological distress by combining the Patient Health Questionnaire and the General Anxiety Disorder scale. Physical well-being was examined using self-rated health. We further assessed the roles of risk perceptions. The author conducted a one-way analysis of variance (ANOVA), Pearson's correlations, multivariable regressions, and mediation analyses (using the Preachers and Hayes' approach). Participants were 55.29% female, 67.86% Caucasian/white with a mean age of 32.44 ± 11.94 years. Public trust in the government regarding COVID-19 was negatively correlated with psychological distress (

Indexed as

coronavirus diseasemental healthperceived self-efficacyphysical healthpublic trust

Identifiers

PMID33262724
PMCPMC7686134
OpenAlexW3100520795

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.