RELATIONSHIP BETWEEN CHILDHOOD PHYSICAL ABUSE, NEGLECT AND ALEXITHYMIA AND MOBILE PHONE ADDICTION IN ADOLESCENTS
Bibliographic record
Abstract
BACKGROUND: The popularity of smart phones not only brings great convenience to people's lives, but also makes people more dependent on them. This study aims to explore the causes of mobile phone addiction in adolescents and clarify its correlation with childhood abuse, neglect, and alexithymia. SUBJECTS AND METHODS: A total of 684 middle school students from Jingzhou City in China were selected as research participants to investigate the degree of childhood psychological abuse, neglect and alexithymia by using the "Child Psychological Abuse and Neglect Scale (CPANS)," "Mobile Phone Addiction Tendency Scale (MPATS)," and "Toronto Alexithymia Scale (TAS)". According to survey results of mobile phone addiction, they were divided into the tendency group and the control group. RESULTS: Students in the tendency group have shown higher scores in the dimensions of psychological abuse (scolding, intimidation and interference), neglect (emotional, education, physical/supervisory), compared to the control group. The total scores of psychological abuse and neglect were positively related to the total score of mobile phone addiction tendency. Students in the tendency group have shown higher scores in emotion identification difficulty, emotion description difficulty, extroversion thinking, and total scores of alexithymia than those of control group. The total score of alexithymia was positively related to the total score of mobile phone addiction tendency. Regression analysis has shown that childhood psychological abuse and neglect could significantly predict the mobile phone addiction status in students. Alexithymia could also significantly predict the mobile phone addiction status among the student sample. CONCLUSION: Childhood abuse, neglect, and alexithymia were positively related to mobile phone addiction, and all of them had a significant regression-based predictive role regarding the mobile phone addiction in adolescents.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".