MétaCan
Menu
Back to cohort
Record W4400193279 · doi:10.1136/gutjnl-2024-bsg.67

O67 Differences in dietary intake patterns contribute to variations in the worldwide prevalence and severity of irritable bowel syndrome

2024· article· en· W4400193279 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOral Presentations · 2024
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIrritable bowel syndromeMedicineInternal medicineEnvironmental healthGastroenterology

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> Diet undoubtedly plays an important role in irritable bowel syndrome (IBS). Whether regional dietary habits influence the prevalence and severity of IBS remains unclear. We hypothesised that examining food frequency patterns may offer a more meaningful insight into this issue, and investigated whether distinct dietary clusters are associated with variation in the worldwide prevalence and severity of IBS. <h3>Methods</h3> 54,127 participants from 26 countries completed online questionnaires including the Rome IV diagnostic questionnaire and the consumption frequency of 10 food groups, as part of the Rome Foundation Global Epidemiology Study. Correspondence analysis, a data-driven clustering method based on latent class analysis (LCA) of the 10 food groups adjusted for Rome-IV IBS status and country, was employed to assess the separation of countries within these dietary clusters. <h3>Results</h3> We identified four unique clusters which demonstrated marked geographical and regional differences in dietary patterns worldwide and an association with relative IBS prevalence (figure 1). There was a significant difference in IBS prevalence between the four dietary pattern groups (P&lt;0.001). Cluster A had the highest IBS prevalence at 5.5% (95%CI: 5.1–5.9) with a diet rich in bread, pasta, fruit and eggs, closely followed by Cluster B with a mean IBS prevalence of 5.0% (95%CI: 4.5 - 5.5) with diet including high consumption of dairy, fruits, and vegetables. Dietary clusters with the highest IBS prevalence (A and B) also had the highest mean IBS symptom severity scores (P&lt;0.001), and were predominantly represented by South American, Latin American, African and Mediterranean countries (figure 1). These were followed by Cluster C predominantly represented by European and North American countries (USA and Canada), as well as Australia, with a mean IBS prevalence of 3.5% (95% CI: 3.3 - 3.7) and a diet characterised by lower consumption of tofu, rice, and eggs. Cluster D with the lowest IBS prevalence (2.6% (95%CI: 2.3 - 2.9) had a diet characterised by a high consumption of rice, eggs, fish, tofu, and vegetables, and was strongly represented by Asian countries. <h3>Conclusions</h3> This study demonstrates an association between dietary habits on the global prevalence and severity of IBS. These findings suggest that the approach to dietary management of IBS may need to be customised and adapted for different countries.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

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

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 head0.034
GPT teacher head0.305
Teacher spread0.271 · 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