Fear of COVID-19 Among Patients with Inflammatory Bowel Disease as Compared to Patients with Other Gastrointestinal Conditions
Bibliographic record
Abstract
BACKGROUND: Although several studies have reported the impact of fears relating to coronavirus-19 on several chronic illnesses, there are few studies focused on gastrointestinal conditions. Therefore, the aim of this study was to compare the fear of coronavirus-19 in patients with inflammatory bowel disease to other gastrointestinal conditions and how the fear of COVID-19 manifests across different demographical backgrounds among inflammatory bowel disease respondents. METHODS: Participants with gastrointestinal conditions (age ≥ 18) were recruited from 27 countries. Demographic, clinical, and psychosocial information was collected. An adapted scale for inflammatory bowel disease patients measuring the fear of coronavirus-19 and gastrointestinal-specific fear of coronavirus-19 was used. RESULTS: In 831 participants (312 inflammatory bowel disease), only significant increases in gastrointestinal-fear of coronavirus-19 were found in between inflammatory bowel disease and other gastrointestinal conditions (mean [standard deviation]: 13.5 [5.5] vs 10.9 [5.0], P < .01). Among inflammatory bowel disease respondents, persons on sick leave had significantly more fear of coronavirus-19 than those employed (median [IQR], 31.0 [28.5-39.5] vs 26.0 [20.0-33.0], P = .035) and significantly more gastrointestinal-fear of coronavirus-19 compared to the employed (18.0 [14.5-22.0] vs 13.0 [9.0-17.0], P = .033) or respondents outside of the labor market (12.0 [7.0-16.0], P = .022). Persons living in a rural setting had significantly more fear of coronavirus-19 compared to persons living in regional setting (29.5 [22.0-37.8] vs 25.0 [20.0-31.3], P = .007) and gastrointestinal-fear of coronavirus-19 (15.0 [11.0-19.8] vs 12.0 [9.0-16.0], P = .02). CONCLUSION: Respondents with inflammatory bowel disease are more afraid of coronavirus-19 regarding their disease; especially, persons on sick leave or persons living in a rural setting. This should be taken into consideration to personalize the support that health care providers can offer in mitigating fear related to coronavirus-19.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".