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Record W3167437435 · doi:10.1093/ecco-jcc/jjab076.731

P610 Fear of COVID-19 among persons with Inflammatory Bowel Disease according to employment status, educational background and residential setting, as compared to persons with other gastrointestinal conditions

2021· article· en· W3167437435 on OpenAlexaff
Bobby Lo, Anna Mokrowiecka, Antonina Mikocka‐Walus, Çharles N. Bernstein, Inês A. Trindade, Johan Burisch, Manuel Barreiro‐de Acosta, Nuno Ferreira, Richard B. Gearry, Simon R. Knowles

Bibliographic record

VenueJournal of Crohn s and Colitis · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineCoronavirus disease 2019 (COVID-19)PsychosocialResidencePandemicInflammatory bowel diseaseDiseaseInternal medicineDemographyPsychiatryInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Abstract Background Although several studies have reported the impact of fears relating to COVID-19 on several chronic illness populations, there are few studies focused on gastrointestinal (GI) conditions. The aim was to compare how fear of COVID-19 is manifested in people living with Inflammatory Bowel Disease (IBD) compared to other GI conditions; and, how fear of COVID-19 is manifested across different demographic backgrounds (employment status, education level and country of residence) among IBD respondents using a large international sample. Methods Participants with a GI condition (≥18years of age) were recruited from 22 countries through a web-based questionnaire. Demographic, clinical, and psychosocial information was collected in relation to the COVID-19 pandemic. An adaptation of the scale developed for IBD by Trindade & Ferreira (2020) measuring fear of COVID-19 (FoC; original items 1–9) and GI specific fear of COVID-19 (GI-FoC; new items 10–14) was used. Results In 831 participants (312 IBD), there were no significant differences in FoC between IBD and other GI conditions; whilst significant increases in GI-FoC were found in IBD respondents (mean [SD]: 13.5 [5.5] vs. 10.9 [5.0], p<0.01). The greatest fears of IBD respondents were: their condition would get worse; impact on access to medical support; being at increased risk of getting COVID-19; and being at increased risk of death if they got COVID-19. Among IBD respondents, persons on sick leave had significantly more general FoC than those who were employed, and significantly more GI-FoC compared to the employed or respondents outside of the labour market (Figures 1a and 1b). Persons living in a rural setting had significantly more general FoC and GI-FoC (Figures 2a and 2b). These persons were fearful of contracting COVID-19, having contact with someone with respiratory symptoms, having contact with healthcare professionals, going outside, meeting people, having contact with someone who was in contact with an infected person, having contact with someone infected with COVID-19, and that their IBD means being at increased risk of death if they got COVID-19. There were no differences in general FoC and GI-FoC according to educational background. However, respondents with higher education were less afraid of dying from COVID-19. Conclusion Respondents with IBD are more afraid of the consequences of COVID-19 due to their disease compared to other GI diseases; especially, persons on sick leave or persons living in a rural setting. Persons with higher education were less afraid of dying from COVID-19. These findings should be taken into consideration to personalise the support health-care providers can offer in mitigating fear related to COVID-19 in IBD patients.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.032
GPT teacher head0.360
Teacher spread0.328 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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