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Prevalence and Causes of Oral Injuries in a Population of Canadian Adults Aged 18 to 50 Years ‐ A Brief Communication

2006· article· en· W1968493018 on OpenAlexaffabout
David Locker

Bibliographic record

VenueJournal of Public Health Dentistry · 2006
Typearticle
Languageen
FieldHealth Professions
TopicDental Trauma and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineInjury preventionTelephone interviewPoison controlTelephone surveyPopulationAge groupsSuicide preventionOccupational safety and healthDentistryDemographyPhysical therapyGerontologyMedical emergencyEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the prevalence and causes of injuries to the mouth and teeth among adults aged 18 to 50 years in Ontario, Canada. METHODS: 2001 individuals in the target age range participated in a telephone interview survey based on random digit dialling. RESULTS: Overall, 15.5% of subjects reported a history of injury with 5.4% having multiple episodes of injury. One third of the injuries occurred in adulthood. The majority (85.0%) with a history of trauma reported damage to the teeth and of these, 26.0% broke one or more teeth, 25.4% reported one or more teeth being knocked out and 6.5% reported displacement of teeth. The most common cause of injury was playing sports, followed by collisions and falls. Violence accounted for 10.0% of the injuries reported. The causes of injury varied according to gender, education and the age at which the injury occurred. CONCLUSION: Oral and dental injuries occur throughout the lifespan, although the causes appear to vary according to the age at which they happen.

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 score0.131
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.107
GPT teacher head0.430
Teacher spread0.323 · 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

Citations2
Published2006
Admission routes2
Has abstractyes

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