Digital Screen Media Use, Movement Behaviors, and Child Health
Bibliographic record
Abstract
Abstract This chapter summarizes the associations between children’s digital screen media use (DSMU) and their health, within the 24-h movement behavior framework (physical activities, sedentary behaviors, sleep), provides recommendations for healthy DSMU, and highlights future research directions. Key concepts include behavior displacement, combined associations, and DSMU context and content. Displacement examples include more DSMU decreasing time for healthier behaviors (e.g., physical activity or sleep) or replacing reading books and magazines with DSMU alternatives (e.g., texting, social media). How DSMU affects the relationships between various combinations of movement behaviors and children’s health is largely unknown. Total DSMU is most frequently studied, but a deeper understanding of all movement behaviors requires examining the content and context of DSMUs. Insufficiently examining context and content inhibits a fulsome understanding of the health impact of child DSMU within a 24-h movement paradigm. Measurement limitations include overreliance on self- or proxy-report measures. Preliminary evidence may suggest that high DSMU contributes to an unhealthy movement behavior profile, but DSMU could also contribute to a healthy movement behavior profile (e.g., active video gaming, goal setting apps). Whether and how much DSMU can be part of a healthy combination of physical activities, sedentary behaviors, and sleep requires further study.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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; 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".