Alexithymia in adolescents with and without pets during the Covid-19 pandemic
Bibliographic record
Abstract
Introduction: With the spread of the Covid-19 pandemic, many countries in the world implemented necessary quarantines to prevent the spread of the virus. Research shows that quarantine measures can affect mental health; therefore, it is important to identify the psychological characteristics that make people more vulnerable. One of the factors that may increase the occurrence of psychological disorders in adolescents under these conditions is alexithymia. This study was conducted with the aim of investigating alexithymia and its components in adolescents with and without pets during the Covid-19 pandemic. Materials & Methods: The current study employs a descriptive and post-event comparative method, and the statistical population encompasses both adolescents with and without pets. The available sampling method selected 120 people, 60 of whom had pets and 60 of whom did not. The tools of this research were a demographic questionnaire and the Toronto Alexithymia Scale (TAS-20), and data analysis was done using descriptive statistics, independent t-tests, and multivariate analysis of variance (MANOVA) by SPSS version 26 at the level of significance less than 0.05. Results: The results indicated a significant difference in alexithymia between adolescents with and without a pet (t=2.441, P=0.016), with adolescents with a pet exhibiting a higher average of alexithymia compared to those without a pet. In addition, there is a difference between the component of objective thinking in adolescents with and without a pet (F=7.608, P=0.007). This means that the component of objective thinking in female adolescents who have a pet is higher than in male adolescents (F=7.622, P=0.008). Conclusion: The psychological construct of alexithymia significantly differs between adolescents with and without pets during the COVID-19 pandemic. In this case, adolescent girls struggle with objective thinking, tend to focus on concrete events under stress, tend to care for pets more frequently, and struggle with communication skills.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".