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Record W3013565741 · doi:10.1016/j.envint.2020.105676

Ambient air pollution and the risk of pediatric-onset inflammatory bowel disease: A population-based cohort study

2020· article· en· W3013565741 on OpenAlexafffundabout
Michael Elten, Eric I. Benchimol, Deshayne B. Fell, M Ellen Kuenzig, Glenys Smith, Hong Chen, Gilaad G. Kaplan, Éric Lavigne

Bibliographic record

VenueEnvironment International · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsPublic Health OntarioUniversity of TorontoUniversity of CalgaryChildren's Hospital of Eastern OntarioUniversity of OttawaHealth Canada
FundersCanadian Institutes of Health ResearchHealth CanadaOntario Ministry of Health and Long-Term Care
KeywordsMedicineHazard ratioInterquartile rangeInflammatory bowel diseasePopulationPediatricsEpidemiologyCohort studyPregnancyCohortProportional hazards modelConfidence intervalEnvironmental healthDiseaseInternal medicine

Abstract

fetched live from OpenAlex

High-income nations have the highest rates of inflammatory bowel disease (IBD). The incidence of pediatric-onset IBD is increasing faster than IBD diagnosed in older individuals. Previous epidemiological studies have shown that air pollution might be a risk factor for development of earlier-onset IBD, but results remain mixed. The objective of this study was to evaluate the associations between maternal and early-life exposures to nitrogen dioxide (NO2), fine particulate matter (PM2.5), ozone (O3,) and oxidant capacity (Ox) and risk of pediatric-onset IBD diagnosis. We conducted a retrospective cohort study using linked population-based health administrative data. Singleton livebirths in Ontario, Canada between April 1st, 1991 and March 31st, 2014 were included. We investigated the association between weekly exposures during pregnancy and annual exposures from birth until the age of 18 years, and IBD diagnosed <18 years of age using Cox proportional hazards models. We reported hazard ratios (HR) and 95% confidence intervals (CI) for an associated increase in the interquartile range (IQR) of each pollutant. Models were mutually adjusted for exposures in both prenatal and postnatal periods, as well as for sex, rurality of residence at birth, maternal IBD, and neighborhood income. 2,218,789 newborns were included in this study, of whom 2491 developed IBD during follow-up. Increased associations with pediatric-onset IBD were noted for childhood exposure to Ox (HR 1.08, 95% CI 1.01–1.16). IBD development was also associated with Ox during the second trimester (HR 1.21, 95% CI 1.03–1.42), but not the overall pregnancy period (HR 1.12, 95% CI 0.79–1.59). There were no associations of IBD with exposure to NO2, PM2.5, or O3. Exposure to Ox during childhood was associated with IBD < 18 years. This suggests that air pollution may impact the developing child physiology in such a way that leads to early onset of IBD.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.361
Threshold uncertainty score0.717

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.253
Teacher spread0.240 · 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".

Quick stats

Citations71
Published2020
Admission routes3
Has abstractyes

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