Gender‐specific associations between the dimensions of alexithymia personality trait and dental anxiety in parents of the FinnBrain Birth Cohort Study
Bibliographic record
Abstract
We evaluated gender-specific associations of two dimensions of dental anxiety (anticipatory and treatment-related dental anxiety) with three dimensions of alexithymia: difficulty in identifying feelings, difficulty in describing feelings, and externally oriented thinking. The sample comprised 2558 parents from the general population participating in the FinnBrain Birth Cohort Study. Dental anxiety was measured with the Modified Dental Anxiety Scale and alexithymia with the 20-item Toronto Alexithymia Scale. Associations between dental anxiety and alexithymia dimensions were modelled using linear regression analysis adjusting for general anxiety and depressive symptoms, age, and education. Structural equation modeling assessed their interrelationships. In women, anticipatory dental anxiety was associated only with difficulty in identifying feelings, but treatment-related dental anxiety was associated with difficulty in identifying feelings, difficulty in describing feelings, and externally oriented thinking. In men, anticipatory dental anxiety was associated with only externally oriented thinking, whereas treatment-related dental anxiety was associated with difficulty in describing feelings, and with externally oriented thinking. Structural equation modelling showed that difficulty in identifying feelings was associated with anticipatory and treatment-related dental anxiety in women, whereas in men, only difficulty in describing feelings was associated with both types of dental anxiety. Anticipatory and treatment-related dental anxiety have different associations with alexithymia dimensions.
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 | 0.002 | 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".