Sense of coherence and oral health of users of psychoactive substances
Bibliographic record
Abstract
Background: The aim of this study was to evaluate the factors associated with the sense of coherence (SOC) and oral health conditions among users of psychoactive substances.Methods: Data were obtained from 131 individuals accompanied by the Alcohol and Drug Psychosocial Care Center located at Brazil. The dependent variable was SOC, measured by means of the SOC 13 scale. Independent variables included sociodemographic conditions, access to dental services and presence of pain of dental origin. In addition, the participants’ caries experience was evaluated by the mean of the Decayed, Missing and Filled Teeth (DMFT) index.Results: As regards oral conditions, the mean DMFT index was 15.62 and the missing component represented the highest prevalence. Over half of the participants sought dental treatment for caries or treatment of pain recently and over a quarter of the sample reported dental pain in the last six months. Over half of the individuals had low SOC levels and the multiple logistic regression model showed that low scores on the SOC 13 scale were associated with substance users aged over 41 and female gender (p < .05).Conclusions: In conclusion, substance users had deteriorated oral health and low SOC levels. It is important to reinforce the SOC combined with the access to oral health services.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".