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Record W4391836092 · doi:10.1016/j.actpsy.2024.104179

COVID-19 anxiety and its relation to anxiety-related disorder symptoms and mechanisms

2024· article· en· W4391836092 on OpenAlexafffundabout
Layton J. Byam, Alexander M. Penney

Bibliographic record

VenueActa Psychologica · 2024
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsMacEwan University
FundersMacEwan University
KeywordsAnxietyAnxiety sensitivityPanic disorderClinical psychologyPsychologyDisgustGeneralized anxiety disorderPsychiatryAnxiety disorderMental healthSpecific phobiaComorbidityMedicine

Abstract

fetched live from OpenAlex

The COVID-19 pandemic had a significant impact on the mental health of individuals, particularly in the area of anxiety-related disorders. Anxiety regarding COVID-19 has been associated with health anxiety, panic disorder, and obsessive-compulsive disorder symptoms. Additionally, COVID-19 anxiety has been associated with anxiety sensitivity, disgust, maladaptive metacognitions, and intolerance of uncertainty. While researchers have established that anxiety disorders and anxiety-related mechanisms were associated with COVID-19 anxiety, which specific anxiety-related symptoms and mechanisms are primarily associated with COVID-19 anxiety needs to be more extensively explored. The current study sought to further this area by examining which particular anxiety-related disorder symptoms and mechanisms were uniquely associated with COVID-19 anxiety. A non-clinical sample of 593 Canadian undergraduate participants (Mage = 21.13 years; 67.7 % female) completed this cross-sectional study between September 2020 and February 2021. Participants completed online questionaries assessing anxiety-related disorder symptoms and mechanisms in addition to multiple scales of COVID-19 anxiety. When examining symptoms, health anxiety (prs = 0.17-0.29) and obsessive-compulsive disorder (prs = 0.16-0.35) symptoms had the strongest unique associations with COVID-19 anxiety. Among the anxiety-related mechanisms, disgust sensitivity (prs = 0.14-0.16) and health anxiety-specific intolerance of uncertainty (prs = 0.12-0.30) had the strongest unique associations with COVID-19 anxiety. Individuals experiencing these disorders and anxiety-related mechanisms may be at a heightened vulnerability to experiencing heightened anxiety during future pandemics. Mental health professionals should discuss COVID-19 anxiety with individuals experiencing health anxiety or obsessive-compulsive disorder symptoms. Lastly, the study highlights the significance of considering a variety of specific anxiety-related disorder symptoms and mechanisms when working to understand pandemic anxiety.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.352
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2024
Admission routes3
Has abstractyes

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