Trait Mindfulness as a Protective Factor in Connections between Psychological Issues and Facebook Addiction among Turkish University Students
Bibliographic record
Abstract
Facebook addiction is a growing issue that has increasingly attracted the attention of clinicians and researchers in a variety of countries and cultures.Relying on the Cognitive-Behavioral Model for Pathological Internet Use, and in a sample of Turkish undergraduates, we investigate whether mindfulness might account for how self-esteem and psychological problems (depression, anxiety, and stress) connect to Facebook addiction.A total of 298 college students completed measures of Facebook addiction, self-esteem, mindfulness and psychological problems, which we analyzed using path analysis, testing various models of how Facebook addiction might be predicted by these factors.We found that Facebook addiction was positively associated with psychological problems and negatively associated with self-esteem and mindfulness, with mindfulness fully accounting for the association between psychological problems, self-esteem and Facebook addiction.These results support the role of mindfulness in the prevention of Facebook addiction and the treatment of addicted individuals.This study also helps clarify previous research connecting mindfulness to Internet addiction, and extends those findings cross-culturally to a Turkish context.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".