Appearance satisfaction mediates the relationship between recreational screen time and depressive symptoms in adolescents
Bibliographic record
Abstract
BACKGROUND: Research suggests there is an association between high levels of recreational screen time and depression among adolescents; however, mechanisms driving this association remain unknown. The present study examined appearance and weight satisfaction and disordered eating behaviors as mediators in the relationship between recreational screen time and depressive symptoms in adolescents. METHOD: = 13.40) were analyzed through a moment structure model. RESULTS: Results revealed appearance dissatisfaction mediated the direct effect of recreational screen time on depressive symptoms (Estimate = 0.48, SE = .18, 95% CI [0.12, 0.84]), and that recreational screen time was significantly related to lower appearance satisfaction (Estimate = -0.06, SE = .02, 95% CI [-0.10, -0.01]), which was significantly predictive of more severe depressive symptoms (Estimate = -1.49, SE = .62, 95% CI [-2.71, -0.28]). CONCLUSIONS: These findings suggest that modulating screen time may be an efficacious strategy to reduce appearance dissatisfaction and depressive symptoms during adolescence.
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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 | 0.001 | 0.004 |
| 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) | 0.005 | 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".