COVID-19 anxiety and its relation to anxiety-related disorder symptoms and mechanisms
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".