Association between depressive symptoms and temporomandibular disorders among students
Bibliographic record
Abstract
To evaluate the association between depressive symptoms and the severity of temporomandibular disorders (TMD). This cross-sectional study (763 students) used the Fonseca Anamnestic Index and Axis II of the Research Diagnostic Criteria for TMD. Pearson’s correlation test was applied to evaluate associations of sociodemographic and clinical characteristics with TMD (p ≤ 0.05). Multinomial logistic regression was performed to adjust for confounding variables. The prevalence of signs and symptoms of TMD among the participants was 63.8% (47.6% had signs and symptoms of depression). Students with moderate depressive symptoms were 5.11 times more likely to develop severe TMD symptoms (p < 0.001). Students with severe depressive symptoms were 12.51 times more likely to develop signs and symptoms of TMD (p < 0.001). There was a significant association between depressive symptoms and signs and symptoms of TMD. The greater the severity of symptoms of depression, the higher the risk of developing signs and symptoms of TMD.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".