Tension-Type Headache in Early Adolescents: Exploring the Predictive Role of Anxiety and Alexithymia
Bibliographic record
Abstract
Introduction Primary Headache, including Tension-Type Headache (TTH), represents one of the most common somatic disorders in children and adolescents with a strong impact on quality of life. Several risk factors, as environmental, familiar, and psychological features, including personality traits, are related to the development of Primary Headache. However, studies on specific subgroups of TTH are relatively few in early adolescents. Objectives Therefore, this cross-sectional pilot study aims at exploring the role of anxiety and alexithymia in early adolescents with and without TTH. Methods A sample of 70 early adolescents (Mage=14.59, SD=1.85; 71% females) consisting of a clinical group (31 with TTH) enrolled in an Italian Child Neuropsychiatry Clinic and a comparison group (38 without TTH) enrolled in schools, matched on gender and age, completed: 1) Multidimensional Anxiety Scale for Children (MASC) to detect the Total levels of Anxiety, also in their factor of Physical Symptoms, Social Anxiety, Harm Avoidance, and Separation Anxiety; 2) the Toronto Alexithymia Scale (TAS-20) to detect the Total levels of Alexithymia, also in their factor of Difficulty to Identifying and to Describing Feelings and Externally Oriented Thinking. Results TTH outcome positively correlated with Harm Avoidance (rho=.68, p<.001) and Total Alexithymia (rho=.72, p<.001). In a logistic regression, Harm Avoidance and Total Alexithymia predicted 69% of the variance in TTH outcome (p<.032). Conclusions This disorder may be a maladaptive strategy to cope with problems and feeling emotions, then early adolescents could be fostered in the acquisition of more adaptive emotion regulation abilities. Disclosure No significant relationships.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".