The social environment and dental caries development: A comprehensive investigation of potential mechanisms
Notice bibliographique
Résumé
Introduction: Despite considerable prevention efforts, dental caries remains the most prevalent oral disease worldwide, especially among people with lower socioeconomic positions, resulting in significant health inequities. This is partially attributable to overlooking the health impacts of the social environment. Various dimensions of the social environment may affect oral health, either independently or interdependently. However, previous studies have focused on separate social dimensions. Moreover, the underlying biological mechanisms linking the social environment to dental caries remain unclear. This thesis investigates the direct and indirect mechanisms through which the social environment influences dental caries development.Methods: Data for this thesis are drawn from the QUALITY Cohort, a population-based study conducted in Montreal, Sherbrooke, and Quebec City. A total of 630 children of Western European ancestry aged 8-10 years, with at least one biological parent with obesity, were recruited, together with both biological parents, for baseline assessment between 2005-2008. Follow-ups were conducted between 2007-2010 and 2012-2015. A wide range of information was collected at environmental, family, and individual levels.In Manuscript I, I identified distinct typologies of the neighbourhood social environment at baseline and estimated their associations with dental caries risk. In Manuscript II, I examined the diversity and composition of oral microbiota from baseline to the second follow-up and estimated the association between the diversity of oral microbiota in childhood and dental caries risk in adolescence. Based on findings from the previous two manuscripts, in Manuscript III, I investigated both the multiplicative and additive interactions of the neighbourhood social environment and diversity of oral microbiota in childhood and their associations with dental caries risk in adolescence.Results: Three socio-environmental typologies were identified: Type 1 (high social disorder and social deprivation, but low material deprivation), Type 2 (median social disorder, social deprivation, and material deprivation), and Type 3 (low social disorder and social deprivation, but high material deprivation). Compared to children living in Type 1 neighbourhoods, those in either Type 2 or Type 3 neighbourhoods had a lower risk of developing dental caries. Additionally, among children living in Type 1 neighbourhoods, a positive association was observed between the diversity of oral microbiota in childhood and dental caries risk in adolescence. This relationship was further strengthened in Type 2 and 3 neighbourhoods. The interaction between the neighbourhood social environment and the diversity of oral microbiota was super-multiplicative and super-additive, indicating the social environment may influence children’s risk of dental caries through interactions with oral microbiota.Conclusion: This thesis provides evidence that residing in neighbourhoods with favourable social environments may contribute to the prevention of dental caries. Furthermore, it suggests that the childhood social environment may influence children’s susceptibility to dental caries by interacting with the diversity of oral microbiota. Interventions for preventing dental caries among the pediatric population should consider improving the neighbourhood social environment. Future research with diverse populations and extended follow-up periods is necessary to validate these findings
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| 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 ».