Relationship Between Warm Childhood Memories and Mobile Phone Addiction: A Moderated Mediation Model
Bibliographic record
Abstract
Childhood experiences have an important effect on mobile phone addiction, but the relationship between positive childhood experiences and mobile phone addiction and its underlying mechanisms should be explored further. This study aims to explore a model linking early memories of warmth and safeness to mobile phone addiction via the mediating role of alexithymia and moderating role of negative coping styles. A total of 379 Chinese college students ( M age = 19.80 years, SD = 1.38; 240 females) completed a questionnaire consisting of the Early Memories of Warmth and Safeness Scale, Toronto Alexithymia Scale, Mobile Phone Addiction Scale, and Negative Coping Styles Scale. Results indicate that early memories of warmth and safeness are negatively correlated with mobile phone addiction, and alexithymia plays a mediating role in the link between early memories of warmth and safeness and mobile phone addiction. In addition, negative coping styles significantly moderate the relationship between early memories of warmth and safeness and alexithymia, specifically, the negative association between early memories of warmth and safeness and alexithymia is highly significant at high (vs. low) negative coping styles levels. The findings suggest that early memories of warmth and safeness are an important protective factor against mobile phone addiction, which enrich the literature on mobile phone addiction and provide empirical support for the prevention of mobile phone addiction.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".