Evidence map›Paper›PMID 39128179›Full record

ArticleJournal of anxiety disorders2024

Intolerance of uncertainty as a predictor of anxiety severity and trajectory during the COVID-19 pandemic.

Rosanna Breaux, Kristin Naragon-Gainey, Benjamin A Katz, Lisa R Starr, Jeremy G Stewart, Bethany A Teachman, Katie L Burkhouse, M Kathleen Caulfield, Christine B Cha, Samuel E Cooper and 17 more

Abstract read
In one paragraph

Article in Journal of anxiety disorders, 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
–field-weighted citation impact
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.

  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

27 authors.

Rosanna BreauxDepartment of Psychology, Virginia Tech, USA.
Kristin Naragon-GaineySchool of Psychological Science, University of Western Australia, Australia.
Benjamin A KatzDepartment of Psychology, Stony Brook University, USA.
Lisa R StarrDepartment of Psychology, University of Rochester, USA.
Jeremy G StewartDepartment of Psychology, Queen's University, UK.
Bethany A TeachmanDepartment of Psychology, University of Virginia, USA.
Katie L BurkhouseDepartment of Psychology, Penn State University, USA.
M Kathleen CaulfieldDepartment of Psychology, University of Pittsburgh, USA.
Christine B ChaDepartment of Counseling and Clinical Psychology, Columbia University, USA.
Samuel E CooperDepartment of Psychiatry and Behavioral Sciences, University of Texas, Austin, USA.
Edwin DalmaijerSchool of Psychological Science, University of Bristol, UK.
Katie KriegshauserDepartment of Psychology, University of Missouri, Kansas City, USA.
Susan KusmierskiDepartment of Psychology, University of Pittsburgh, USA.
Cecile D LadouceurDepartment of Psychiatry, University of Pittsburgh, USA.
Gordon J G AsmundsonDepartment of Psychology, University of Regina, Canada.
Darlene M Davis GoodwineAidan Behavioral Health and Consulting, USA.
Eiko I FriedDepartment of Clinical Psychology, Leiden University, USA.
Ilana GratchDepartment of Counseling and Clinical Psychology, Columbia University, USA.
Philip C KendallDepartment of Psychology and Neuroscience, Temple University, USA.
Shmuel LissekDepartment of Psychology, University of Minnesota, Twin Cities, USA.
Adrienne ManbeckDepartment of Psychology, University of Minnesota, Twin Cities, USA.
Tyler C McFaydenCarolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.
Rebecca B PriceDepartments of Psychiatry and Psychology, University of Pittsburgh, USA.
Kathryn RoeckleinDepartment of Psychology, University of Pittsburgh, USA.
Aidan G C WrightDepartment of Psychology, University of Michigan,USA.
Iftah YovelDepartment of Psychology, Hebrew University of Jerusalem, Israel.
Lauren S HallionDepartment of Psychology, University of Pittsburgh, USA. Electronic address: hallion@pitt.edu.

Funding

Common and Specific Neural Mechanisms of Perseverative Thought in Real-World ContextsK01MH116328 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HALLION, LAUREN S · 2018 to 2022
$876k
NIMH NIH HHS K01 MH116328
6 · The paper itself

Abstract

backgroundEfforts to identify risk and resilience factors for anxiety severity and course during the COVID-19 pandemic have focused primarily on demographic rather than psychological variables. Intolerance of uncertainty (IU), a transdiagnostic risk factor for anxiety, may be a particularly relevant vulnerability factor.

methodN = 641 adults with pre-pandemic anxiety data reported their anxiety, IU, and other pandemic and mental health-related variables at least once and up to four times during the COVID-19 pandemic, with assessments beginning in May 2020 through March 2021.

resultsIn preregistered analyses using latent growth models, higher IU at the first pandemic timepoint predicted more severe anxiety, but also a sharper decline in anxiety, across timepoints. This finding was robust to the addition of pre-pandemic anxiety and demographic predictors as covariates (in the full sample) as well as pre-pandemic depression severity (in participants for whom pre-pandemic depression data were available). Younger age, lower self/parent education, and self-reported history of COVID-19 illness at the first pandemic timepoint predicted more severe anxiety across timepoints with strong model fit, but did not predict anxiety trajectory.

conclusionsIU prospectively predicted more severe anxiety but a sharper decrease in anxiety over time during the pandemic, including after adjustment for covariates. IU therefore appears to have unique and specific predictive utility with respect to anxiety in the context of the COVID-19 pandemic.

Indexed as

AnxietyCOVID-19Severity of Illness IndexAdultAgedFemaleHumansMaleMiddle AgedRisk FactorsSARS-CoV-2UncertaintyYoung AdultAnxietyCOVID-19Intolerance of uncertaintyLatent growth modelLongitudinal

Identifiers

PMID39128179
PMCPMC11706592

What OpenQuestion holds

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Registered trials

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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.