Dental health and disease determinants among 35-year-olds in Oslo, Norway
Bibliographic record
Abstract
OBJECTIVE: The aim of the present study was to identify non-biological determinants associated with the number of sound teeth (ST) and presence of decayed surfaces (DS) among 35-year-old Oslo citizens. MATERIAL AND METHODS: Randomly selected participants (n=149, response rate 64%) completed a self-administered questionnaire and were examined clinically and radiographically. Dental caries was registered clinically following World Health Organization (WHO) diagnostic criteria for caries registration, and the findings were combined with radiographic caries recordings. The number of sound teeth and the presence of two or more dentine caries lesions (D(3)S > or = 2) were selected as dependent variables. Associations between selected dependent variables and possible determinants were assessed by linear and logistic regression analyses, taking into account the hierarchical relationships between the independent variables. RESULTS: On average, 35-year-olds had 17.1 (SD=5.6) ST. Half of the participants had no DS and 26% had D(3)S > or = 2. Non-Western region of birth, being single, and having a university education were significantly associated with higher numbers of ST. Low family income, presently a smoker, and irregular dental visits were significantly associated with the presence of dentine caries. CONCLUSIONS: The results of this study indicate that several non-biological determinants operating at different levels are important for health and disease in this adult population.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".