How are the youth? A brief‐longitudinal study on symptoms, alexithymia and expressive suppression among Italian adolescents during COVID‐19 pandemic
Bibliographic record
Abstract
Studies documented the negative consequences on adolescents' mental health of the stay‐at‐home measures adopted in reaction to the COVID‐19 outbreak. However, few contributions focused on the psychopathological trajectories after the end of these stressful measures or investigated the moderating role of this context in the relationship linking psychological symptoms with emotion regulation. This brief longitudinal study was performed with two measurement times: during the severe lockdown (T1), and when the restrictive measures were relaxed (T2). Ninety‐three community adolescents (45% boys; Mage = 14.94 years, SD = 1.64) completed the Youth Self Report, the Social Media Disorder Scale, the Binge Eating Scale, the Emotion Regulation Questionnaire and the Toronto Alexithymia Scale 20 items. Except for binge eating and externalising symptoms, all variables significantly decreased between T1 and T2. The relationship between expressive suppression and binge eating scores significantly decreased across time whereas the link between alexithymia and internalising symptoms increased with time. The study supported the idea that low‐risk adolescents experienced psychological relief from the relaxation of stay‐at‐home measures. Results suggest the importance of considering contextual factors when explaining the role of expressive suppression and alexithymia in binge eating and internalising symptoms among adolescents.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".