The Impact of COVID-19 on Health Anxiety and Perceived Stress Among Persons with IBD: A Population-representative Study
Bibliographic record
Abstract
Background: The Corona Virus Immune Disease-2019 (COVID-19) pandemic has broadly impacted the mental health of individuals worldwide, especially with restrictions including social distancing and quarantining. Persons with IBD are at increased risk of mental health disorders. The aim was to understand how the COVID-19 pandemic affected adults with a chronic health issue, inflammatory bowel disease (IBD), using a population-based sample. Methods: A survey study in Manitoba was conducted during the second COVID-19 wave in autumn 2020. We assessed proportions of health anxiety and perceived stress using validated measures, as well as stressors during the COVID-19 pandemic. We used univariable and multivariable logistic regression analysis to assess predictors of perceived stress and health anxiety. Results: A total of 1,384 (47.1%) persons responded, with a mean age of 58.0, and 46.9% had Crohn's disease. Almost three quarters (73.7%) had increased stress, with 37.7% having increased stress about their IBD, and 33.6% worried about their IBD worsening. 46.0% felt increased stress about accessing their doctor or nurse, and 56.5% felt they had good access to their gastroenterologist. Elevated stress and health anxiety were seen in 63.5% and 17.2% of respondents, respectively. Younger age and being on immune-modifying therapy (IMT) was predictive of increased health anxiety and stress. Longer IBD duration was associated with decreased stress, including those on IMT. Conclusion: Persons with IBD reported high rates of stress and health anxiety early in the COVID-19 pandemic, especially among those on IMT. It will be important to determine how this evolved over time and to what extent this impacted on disease course.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".