COVID‐19–related personal product shortages are associated with psychological distress in people living with gastrointestinal disorders: A cross‐sectional survey
Bibliographic record
Abstract
BACKGROUND: The mental health response to the coronavirus (COVID-19) pandemic-related product shortages in those living with chronic gastrointestinal (GI) disorders has received little attention. We aimed to explore the association between the pandemic-related product shortages and psychological distress in people with GI disorders. METHODS: This online cross-sectional survey was nested within an ongoing, international, prospective study of well-being in people with GI disorders. The study was advertised in multiple countries in May-September 2020 via patient organizations and social media. The primary outcome measure was distress, evaluated by the Depression Anxiety Stress Scale. We utilized linear regressions, adjusting for covariates and testing individual moderation effects. KEY RESULTS: Overall, 831 people completed the survey from 27 countries, of whom 82% were female (mean age = 49 years). The most common disorders included inflammatory bowel disease (n = 322), celiac disease (n = 273), and irritable bowel syndrome (n = 260). Significant problems accessing food were reported by 19.8%, non-medical therapies by 16%, toilet paper by 10.8%, and essential medication by 8.9% of the sample (>5% pain medication). There was a positive association between toilet paper and pain medication shortages and distress, and a negative association between food shortages and distress. Significant moderation effects were identified for COVID-19 prevalence and toilet paper and food shortages, and between COVID-19 fear and pain medication shortages. CONCLUSIONS AND INFERENCES: The study documented a significant relationship between product shortages and psychological distress, which were associated with COVID-19 prevalence and fear. Strategies addressing COVID-19 fear could potentially modify the relationship between shortages and distress.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".