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Record W2107117820

Smoking and oral health status.

2007· article· en· W2107117820 on OpenAlexaffabout
W J Millar, David Locker

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsEdentulismMedicineLogistic regressionPopulationToothacheEnvironmental healthDemographyOral healthHousehold incomeOddsOdds ratioMultivariate analysisDentistry
DOInot available

Abstract

fetched live from OpenAlex

Clinical studies suggest that smokers have a higher than average risk of periodontal disease and poor oral health status. In 2003, the Canadian Community Health Survey--a multistage, nationwide household survey--asked a series of questions related to oral health status. This report is based on the population aged 18 and older who answered the optional module on oral health (33,777 respondents). This subsample represents a weighted population of 23.9 million. The overall survey response rate was 80.6%.In our sample, 24% of respondents were current cigarette smokers, 43% were former smokers and 33% had never smoked. The prevalence of current smoking declined with advancing age and was inversely associated with household income and level of education. The prevalence of edentulism was 15% among current smokers compared with 7% among those who had never smoked. In the dentate population, current smokers were less likely to have visited a dentist in the past 3 years and more likely to report sensitivity of teeth, tooth ache in the previous month, pain in the mouth or face and social limitations because of teeth. When age, sex, household income and dental insurance were controlled in a multivariate logistic regression model, current smokers and former smokers had higher odds of reporting oral-facial pain than people who had never smoked. Prevention of smoking onset and support for cessation of smoking could contribute to improved oral health status.

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)0.001
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 score0.424
Threshold uncertainty score0.161

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.062
GPT teacher head0.326
Teacher spread0.264 · 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

Citations101
Published2007
Admission routes2
Has abstractyes

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