Mental Health and Alexithymia of Technical School Student Abused in Childhood.
Bibliographic record
Abstract
Objective: To study the effect of childhood abuse on students mental health and alexithymia, and to analyze the relationship between psychosomatic symptoms and alexithymia. Methods: 90 abused Technical Secondary School Students and 90 no-abused Technical Secondary School Students from Xuzhou were investigated by applying Symptom Checklist 90 ( SCL - 90 ) , Toronto alexithymia Scale ( TAS) . Results: Compared with no-abused students, the students who had been abused in childhood showed significantly higher psychiatric symptoms of somatization (1. 8±0. 6) , interpersonal relationship (2.0±0.7) , depression (1.9±0.6) , anxiety (1. 8±0. 5 ) , hostility (1. 8±0. 6) , paranoia (1. 9±0. 6) , psychoticism (1. 8±0. 6) , obsessive (2. 0±0. 6) , phobia (1. 7±0. 6) than control (1.4±0.5, 1.7±0.6, 1.6±0.6, 1.6±0.5, 1.5±0.5, 1.6±0.5, 1.6±0.5, 1.8±0.6, 1.5±0.5, P 0. 01 or P 0. 05) , and had significant higher total and factor scores of Toronto alexithymia Scale ( TAS) (78. 4±8. 2/68. 3±8. 1, P 0. 01 ) . The study showed that alexithymia was associated with psychiatric symptom ( r = - 0.24-0.25, P0. 05) . Conclusion: Childhood abuse can severely impact students'mental health and produce alexithymia, there were significant associations between them. Alexithymia may be one of core psychological characteristics for abused students.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".