Negative Affect, Life Satisfaction, and Internet Gaming Disorder: Exploring the Mediating Effect of Coping and the Moderating Effect of Passion
Bibliographic record
Abstract
<em>No research has examined whether the effect of high negative affect and poor life satisfaction on Internet Gaming Disorder (IGD) is explained by gaming to cope or is dependent upon users’ passion for video gaming. An online sample of adults (N = 969 adults; 60.5% male) reported their passion for video games, positive and negative affect, life satisfaction, and IGD severity. A latent profile analysis on the passion subscales yielded four subgroups: (1) minimally passionate; (2) moderately passionate; (3) harmoniously passionate (HP); and (4) Obsessively Passionate (OP) video game users. Although negative affect was directly and indirectly associated with greater IGD through gaming to cope in the overall sample, a follow-up moderated-mediation model revealed that gaming to cope did not mediate the association between negative affect and IGD for OP users, but did for HP users. The implications for future research on the mechanisms of IGD are discussed.</em>
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 | 0.028 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".