The Effects of Outdoor Air Pollution on Inflammation and Preeclampsia
Notice bibliographique
Résumé
Background: Outdoor air pollution is a ubiquitous and deleterious environmental exposure, and its relationship with several chronic diseases and acute health outcomes is well established. Outdoor air pollution is also associated with pregnancy complications such as preeclampsia. PM2.5, NO2, and O3 are some of the most commonly studied air pollutants, and can influence important biological processes in pregnancy, such as inflammation. Methods: This thesis explored different aspects of the relationship between air pollution and inflammation, and air pollution and preeclampsia. In Component 1, effects between PM2.5 and NO2 with four inflammation biomarkers (C-reactive protein, interleukin-6, interleukin-8, tumour necrosis factor-α) during pregnancy were assessed. In Component 2, the multipollutant effects of PM2.5, NO2, and O3 as a mixture on C-reactive protein were assessed, with consideration of surrounding green space as a confounder or effect modifier. In Components 3 and 4, a dose-response meta-analysis and burden of disease analysis were conducted, respectively. The Maternal Infant Research on Environmental Chemicals birth cohort was used for nested analyses for Components 1 and 2. Component 3 used publicly available data from previously published studies, and Component 4 used ecologic measures of PM2.5. Statistical methods included linear regression, restricted cubic splines, and mixture methods in Components 1 and 2, and dose-response meta-analyses, and burden of disease analyses in Components 3 and 4. Results: In Components 1 and 2 a consistent relationship between PM2.5 and C-reactive protein, an important inflammation biomarker was observed. In Component 2 specifically, the relationship between a mixture of PM2.5, NO2, and O3 was stronger then when compared with individual pollutant effects. In the meta-analysis for a relationship between PM2.5 and preeclampsia, the summary RR estimate was 1.07 (95% CI: 0.99-1.15) per 10μg/m3 average increase in PM2.5, which was lower than previously published estimates. In burden of disease calculations, it was estimated that PM2.5 is responsible for 4.8% of preeclampsia cases in Canada. Discussion: This thesis adds to the literature on the relationship between air pollution and preeclampsia by elucidating on a biological mechanism through which PM2.5 might increase risk of preeclampsia, and providing summary burden of disease estimates for the relationship between PM2.5 and preeclampsia. The work highlights the importance of studying environmental exposures in pregnancy, and contributes to the understanding of inflammation as a mechanism through which PM2.5 might impact preeclampsia incidence.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».