The relationship between childhood trauma and internet addiction in adolescents with depression: the mediating role of insomnia and alexithymia
Bibliographic record
Abstract
BACKGROUND: The correlation between depressive symptoms and internet addiction in adolescents is strengthened, and childhood trauma is an important predictor of internet addiction. However, the mechanism of childhood trauma on internet addiction in adolescents with depression remains unclear. This study investigates the current status and factors influencing internet addiction in adolescents with depression and further examines whether insomnia and alexithymia mediate childhood trauma and internet addiction in adolescents with depression. METHODS: This study investigated 300 adolescent patients in 7 hospitals in Anhui province. General demographic characteristics such as age and gender were collected. The clinical characteristics of the patients were measured using the Childhood Trauma Questionnaire Short Form (CTQ-SF), Internet Addiction Test (IAT), Insomnia Severity Index (ISI) and 20-item Toronto Alexithymia Scale (TAS-20). PROCESS (Model 4) was used to examine the mediating effects of insomnia and alexithymia. RESULTS: The prevalence of internet addiction among adolescents with depression was 50.2%. There were statistically significant differences between the internet addiction group and the non-internet addiction group in terms of relationships with classmates, relationships with teachers, family relations, and economic status. The total score of CTQ and its five subscale scores were significantly and positively correlated with the total score of IAT. Insomnia and externally oriented thinking (EOT) played a significant mediating role in the effect of physical neglect (PN) on internet addiction. CONCLUSION: Insomnia and alexithymia play a significant mediating role between childhood trauma and internet addiction in adolescents with depression, which expand the existing understanding of internet addiction in adolescents with depression, and provide some theoretical references to address the problem of internet addiction in adolescents with depression and prevent the development of adolescent depression.
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 | 0.001 | 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".