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Record W7161839411 · doi:10.82308/35858

The social environment and dental caries development: A comprehensive investigation of potential mechanisms

2025· dissertation· en· W7161839411 on OpenAlexaboutno aff
Yue Ying

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsSocial environmentSocioeconomic statusAffect (linguistics)Neighbourhood (mathematics)Oral healthDiversity (politics)Baseline (sea)

Abstract

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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

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)0.002
metaresearch head score (Gemma)0.003
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.268
Teacher spread0.255 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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