Evidence map›Paper›PMID 38181012›Full record

ArticlePloS one2024

Endorsement of COVID-19 misinformation among criminal legal involved individuals in the United States: Prevalence and relationship with information sources.

Xiaoquan Zhao, Aayushi Hingle, Cameron C Shaw, Amy Murphy, Breonna R Riddick, Rochelle R Davidson Mhonde, Bruce G Taylor, Phoebe A Lamuda, Harold A Pollack, John A Schneider and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

11 authors at 3 institutions in 1 country.

Xiaoquan ZhaoDepartment of Communication, George Mason University, Fairfax, Virginia, United States of America.ORCID 0000-0003-0264-6262
Aayushi HingleDepartment of ELAP, Linguistics, & Communication Studies, Montgomery College, Takoma Park, Maryland, United States of America.
Cameron C ShawSchar School of Public Policy, George Mason University, Fairfax, Virginia, United States of America.ORCID 0000-0003-1852-4294
Amy MurphySchar School of Public Policy, George Mason University, Fairfax, Virginia, United States of America.
Breonna R RiddickDepartment of Communication, George Mason University, Fairfax, Virginia, United States of America.
Rochelle R Davidson MhondeCollege of Public Health, George Mason University, Fairfax, Virginia, United States of America.
Bruce G TaylorNORC at the University of Chicago, Chicago, Illinois, United States of America.
Phoebe A LamudaNORC at the University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0003-0302-4465
Harold A PollackCrown Family School of Social Work, Policy, and Practice, University of Chicago, Chicago, Illinois, United States of America.
John A SchneiderCrown Family School of Social Work, Policy, and Practice, University of Chicago, Chicago, Illinois, United States of America.
Faye S TaxmanSchar School of Public Policy, George Mason University, Fairfax, Virginia, United States of America.
George Mason University · USUniversity of Chicago · USMontgomery College · US

Funding

Technical Assistance CoreU2CDA050097 · NIDA · GEORGE MASON UNIVERSITY · PI Todd David Molfenter, Jessica Hulsey Nickel · 2019 to 2026
$37.0M
Survey CoreU2CDA050098 · NIDA · UNIVERSITY OF CHICAGO · PI POLLACK, HAROLD ALEXANDER, SCHNEIDER, JOHN · 2019 to 2019
$17.2M
NIDA NIH HHS U2C DA050097NIDA NIH HHS U2C DA050098
6 · The paper itself

Abstract

Criminal legal system involvement (CLI) is a critical social determinant of health that lies at the intersection of multiple sources of health disparities. The COVID-19 pandemic exacerbates many of these disparities, and specific vulnerabilities faced by the CLI population. This study investigated the prevalence of COVID-19-related misinformation, as well as its relationship with COVID-19 information sources used among Americans experiencing CLI. A nationally representative sample of American adults aged 18+ (N = 1,161), including a subsample of CLI individuals (n = 168), were surveyed in February-March 2021. On a 10-item test, CLI participants endorsed a greater number of misinformation statements (M = 1.88 vs. 1.27) than non-CLI participants, p < .001. CLI participants reported less use of government and scientific sources (p = .017) and less use of personal sources (p = .003) for COVID-19 information than non-CLI participants. Poisson models showed that use of government and scientific sources was negatively associated with misinformation endorsement for non-CLI participants (IRR = .841, p < .001), but not for CLI participants (IRR = .957, p = .619). These findings suggest that building and leveraging trust in important information sources are critical to the containment and mitigation of COVID-19-related misinformation in the CLI population.

Indexed as

COVID-19CriminalsAdultHumansInformation SourcesPandemicsPrevalenceUnited States

Identifiers

PMID38181012
PMCPMC10769018
OpenAlexW4390604911

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.