The Impact of Air Pollution on Bronchiolitis
Notice bibliographique
Résumé
SAB5-O-05 Introduction: Bronchiolitis, a major cause of infant morbidity, has been associated with environmental tobacco smoke. Its association with air pollution has been evaluated in several studies, but the results are mixed. We evaluated the impacts of several air pollutants on bronchiolitis in a nested case-control study using improved exposure methods. Methods: The study population was singleton children born in a metropolitan area in 1999 and 2000. Birth records were linked to health records to obtain data on all healthcare system encounters, as well as residential history and census tract information as part of the Border Air Quality Study. After excluding 723 missing census data and 22 with <25 weeks of gestation, 40,288 were available for analysis. Infants were followed from the second to the 12th month and 5678 outpatient and hospitalization cases were identified. Five controls born on the same date were incidence density matched to each case. Mean exposures to NOx, CO, SO2, PM10, PM2.5, and O3 were estimated using inverse distance-weighted average of all monitors in the study region. NOx and Black Carbon (filter absorbance) were estimated using temporally adjusted land-use regression (LUR) models. Exposures were estimated for the home address of the children for lifetime, 1 month, 2 months prior to diagnosis/reference date. Conditional logistic regression was used to adjust for infant sex, ethnicity [First Nations Status], and prematurity, as well as neighborhood income and maternal education. Results: Based on lifetime exposure, the strongest association was observed with O3 (OR = 1.38; 95% CI, 1.19–1.60 per 10 μg/m3). Smaller, suggestive observations were observed for PM10 (OR = 1.02; CI, 1.00–1.05, 1 μg/m3), PM2.5 (OR = 1.09; CI, 0.98–1.22, 1 μg/m3), and black carbon (OR = 1.05; CI, 0.95–1.16, 0.5 × 10−5 m−1 increase in filter absorbance). No association was observed for NOx based on either ambient monitors or LUR. Protective associations were observed for SO2 (OR = 0.95; CI, 0.92–0.97, 1 μg/m3) and CO (OR = 0.93; CI, 0.90–0.97, 100 μg/m3). These results were relatively unchanged when exposure in specific time windows was considered, with the exception of O3 where the effects were somewhat reduced (OR = 1.26; CI, 1.10–1.44, 1 month prior and OR = 1.28; CI, 1.11–1.48, 2 months prior). Seasonal stratification indicated that O3 and PM10 associations were highest in fall (ORs = 1.71 and 1.07, respectively) and winter (ORs = 1.69 and 1.05, respectively). Conclusions: This is the first study to observe an association between physician diagnosis and hospital admissions for bronchiolitis and ozone exposure. These findings add some support for previously reported associations between bronchiolitis and exposure to particulate matter.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».