Evidence map›Paper›PMID 36757678›Full record

ArticleAnxiety, stress, and coping2023

Implicit and explicit COVID-19 associations and mental health in the United States: a large-scale examination and replication.

Alexandra Werntz, Brian A O'Shea, Gustav Sjobeck, Jennifer Howell, Kristen P Lindgren, Bethany A Teachman

Abstract read
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In one paragraph

Article in Anxiety, stress, and coping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alexandra WerntzDepartment of Psychology, University of Virginia, Charlottesville, VA, USA.
Brian A O'SheaSchool of Psychology, University of Nottingham, Nottingham, United Kingdom.
Gustav SjobeckDepartment of Psychology, University of Virginia, Charlottesville, VA, USA.
Jennifer HowellPsychological Sciences, Health Sciences Research Institute, University of California Merced, CA, USA.
Kristen P LindgrenTrauma Recovery & Resilience Innovations, Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA.
Bethany A TeachmanDepartment of Psychology, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-9031-9343

Funding

Effectiveness of interpretation training to reduce anxiety: Evaluating technology-based delivery models and methods to reduce attritionR01MH113752 · NIMH · UNIVERSITY OF VIRGINIA · PI TEACHMAN, BETHANY A · 2017 to 2020
$2.5M
NIMH NIH HHS R01 MH113752
6 · The paper itself

Abstract

backgroundGiven the sensitive nature of COVID-19 beliefs, evaluating them explicitly and implicitly may provide a fuller picture of how these beliefs vary based on identities and how they relate to mental health.

objectiveThree novel brief implicit association tests (BIATs) were created and evaluated: two that measured COVID-19-as-dangerous (vs. safe) and one that measured COVID-19 precautions-as-necessary (vs. unnecessary). Implicit and explicit COVID-19 associations were examined based on individuals' demographic characteristics. Implicit associations were hypothesized to uniquely contribute to individuals' self-reports of mental health.

methodsParticipants (

resultsResults revealed older age was weakly associated with stronger implicit and explicit associations of COVID-as-dangerous and precautions-as-necessary. Black and Asian individuals reported greater necessity of taking precautions than White individuals (with small-to-medium effects); greater education was associated with greater explicit reports of COVID-19-as-dangerous and precautions-as-necessary with small effects. Replicated relationships between COVID-as-dangerous explicit associations and mental health had very small effects.

conclusionsImplicit associations did not predict mental health but there was evidence that stronger COVID-19-as-dangerous explicit associations are weakly associated with worse mental health.

Indexed as

AnxietyCOVID-19Mental HealthAdultBias, ImplicitFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPandemicsUnited StatesanxietyCOVID-19depressionimplicit associationsmental healthUnited States

Identifiers

PMID36757678
PMCPMC10409876

What OpenQuestion holds

Textmetadata
LicenceTDM
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.