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Associations between Socio-economic Circumstances at Two Stages of Life and Adolescents' Oral Health Status

2005· article· en· W2006195635 on OpenAlexaff
Belinda Nicolau, Wagner Marcenes, Mel Bartley, Aubrey Sheiham

Bibliographic record

VenueJournal of Public Health Dentistry · 2005
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsLogistic regressionDemographyMedicineOddsSocioeconomic statusOral healthOdds ratioStepwise regressionEnvironmental healthDentistryPopulation

Abstract

fetched live from OpenAlex

UNLABELLED: There is a consistent association between unfavourable socio-economic circumstances and oral health. Although the effects of poor social circumstances in childhood are known to have lasting influences on general health, there is little information on their effects regarding chronic oral diseases. OBJECTIVE: To assess the relationship between oral health status and socio-economic circumstances at two different periods of adolescents' life. METHODS: A two-phase cross sectional study was carried out in Brazil. In Phase I, 652 13-year-olds were clinically examined and interviewed. In the second phase, 311 families were randomly selected for in-depth interviews. Information was collected on several indicators of socio-economic circumstances, family related variables, school grade level, and oral health behaviour, at two different life stages, at birth and at 13 years of age. The outcome variable was oral health status at the age of 13. It was constructed by counting the worst scores of DMFT, gingival bleeding, calculus and dental plaque. The data analysis used stepwise logistic regression. RESULTS: The response rates for phases I and II were 85% and 94%. Boys, those at a lower grade level at school for their age, and those who experienced high levels of material deprivation at birth and at the age of 13 were more likely to have high levels of oral diseases; the odds ratios were 4.12 (1.86-9.16), 2.41 (1.01-5.76) and 4.61 (1.30-16.3), respectively. CONCLUSION: Brazilian adolescents experiencing adverse socio-economic circumstances at birth and at the age of 13 had high levels of oral diseases.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.052
Threshold uncertainty score0.887

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.386
Teacher spread0.322 · 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 teacher head, 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".

Quick stats

Citations48
Published2005
Admission routes1
Has abstractyes

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