Influence of environmental exposure to endocrine disruptors on cardiometabolic health
Notice bibliographique
Résumé
Obesity is a complex endocrine disease closely associated with other cardiometabolic risk factors such as hyperglycemia, dyslipidemia, and hypertension. Together, they increase the risk of diabetes, cardiovascular disease, cancer and premature death. Given the increasing global burden of obesity and metabolic disease, there is an urgent need to understand and intervene on all modifiable factors. Growing evidence suggests that endocrine-disrupting chemicals (EDCs) can disrupt energy and lipid metabolism, influencing obesity as well as cardiometabolic health. Furthermore, rapid infant growth is a well-established risk factor for obesity and could be an early target of EDCs since growth is partly regulated by hormones. This thesis aims to evaluate relationships between exposure to endocrine-disrupting chemicals and cardiometabolic risk factors in both adults and children, focusing on exposures which are ubiquitous in different populations.For the first objective, I used data from a cross-sectional and nationally representative biomonitoring survey in Canada (the Canadian Health Measures Survey) to investigate whether urinary concentrations of parabens, common preservative agents in cosmetic, personal care, food, and pharmaceutical products, are associated with obesity and cardiometabolic health in adults (n=1137) and children (n=1418). Despite the relatively short half-life of these chemicals, almost all Canadians (92%) had detectable levels of methyl paraben in their urine. The associations with metabolic syndrome appeared to differ by sex: among men, propyl paraben was associated with 40% (95% CI: 3, 90) higher prevalence per 10-fold increase in concentration, while ethyl paraben was associated with 63% (95% CI: 2, 86) lower prevalence among women. Additionally, inverse associations were observed with obesity and high-density lipoprotein among women. No associations were observed among children. For the second objective, I used data from a birth cohort in South Africa, the Venda Health Examination of Mothers, Babies and their Environment (VHEMBE) to examine whether maternal peri-partum serum or urine concentrations of dichlorodiphenyltrichloroethane (DDT) and pyrethroid insecticides used for malaria vector control are associated with adiposity and cardiometabolic health in the children at age 5 years (n=637). Using marginal structural models weighted by the inverse probability of treatment and censoring, I observed that prenatal exposure to pyrethroid insecticides, but not DDT, was associated with lower BMI z-score, waist circumference, and body fat percentage. These findings did not differ by sex.Finally, for the third objective I examined associations between prenatal exposure to these same insecticides and child growth trajectories from birth through to the age of 5, again using data from VHEMBE (n=751). I applied a flexible mixed-effects growth trajectory model which identified each child’s relative size and their age at peak weight velocity and included these parameters as outcomes in marginal structural models weighted by the inverse probability of treatment. This analysis showed that the pyrethroid metabolite trans-DCCA was associated with smaller size (-20.9 grams [95% CI: -41.6, -3.2] per 10-fold increase) among boys but not among girls. Associations with cis-DBCA and cis-DCCA were similar in magnitude but the confidence intervals included the null. Overall, the findings presented here provide evidence that parabens and pyrethroids may impact cardiometabolic health in adults and children, with different effects in males versus females. Though preservatives and pesticides have their benefits, given the ubiquity of these exposures, their effects on human health should be better understood in order to make informed public health decisions
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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| 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 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».