Pathways from adolescent screen time to eating related symptoms: a multilevel longitudinal mediation analysis through self-esteem
Bibliographic record
Abstract
OBJECTIVE: Screen time and self-esteem have been shown to be important correlates of eating disorders in adolescence. However, there is an absence of longitudinal studies that distinguish between time-varying factors, accounting for parallel developmental changes and common underlying vulnerability. DESIGN: A total of 3,801 adolescents were administered self-report measures, annually, over the course of 5 years. The association of screen time (social media use, television watching, video gaming) on eating related symptoms was analyzed using a longitudinal Bayesian multilevel path analysis framework. Self-esteem was examined as a mediating factor in this model. This study investigated direct and indirect associations at between-person, concurrent within-person, and lagged-within-person levels, while controlling for gender. RESULTS: The findings revealed that all types of screen time exposure were significantly associated with eating related symptoms at between and within-person levels. A significant association at the lagged-within person level was only revealed for social media use. Self-esteem was found to be a significant mediating factor between screen time and eating related symptoms. CONCLUSION: An increase in social media use one year was associated with increased of eating related symptoms two years later through lower self-esteem. Implications for prevention are discussed.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".