Exploring the Link between Early Memories of Warmth and Mobile Phone Addiction: Mediating Role of Alexithymia and Moderating Effects of Positive Coping Styles
Bibliographic record
Abstract
Background: In the information age, mobile phones have become an important tool in people’s lives. However, prolonged and frequent use of mobile phones can lead to mobile phone addiction and have a negative impact on people’s physical and mental development. Objective: The aim of this study was to explore the direct relationship between Early Memories of Warmth and Safeness (EMWS) and Mobile Phone Addiction (MPA) among university students, as well as the mediating role of alexithymia and the moderating role of positive coping styles. Methods: A sample of 422 Chinese university students (M = 20.00 years, SD = 1.40 years) anonymously responded to the EMWS Scale, Toronto Alexithymia Scale, MPA scale, and Positive Coping Style Scale. Results: EMWS were negatively associated with MPA. Alexithymia mediated the relationship between EMWS and MPA. Positive coping styles moderated the relationship between EMWS and MPA and that between EMWS and alexithymia. Specifically, With the increase in the level of positive coping styles, the negative effects of EMWS on MPA and alexithymia were gradually weakened. Conclusion: Results indicated that EMWS was intimately related to MPA and that EMWS affected MPA through alexithymia, with positive coping styles playing a moderating role. The results have implications for the prevention and intervention of MPA among college 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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".