Relationship between screen time and metabolic syndrome in adolescents
Bibliographic record
Abstract
BACKGROUND: The primary objective was to determine the dose-response relation between screen time (television + computer) and the metabolic syndrome (MetS) in adolescents. METHODS: The study sample included 1803 adolescents (12-19 years) from the 1999-04 US National Health and Nutrition Examination Surveys. Average daily screen time (combined television, computer and video game use) was self-reported. MetS was defined according to adolescent criteria linked to the adult criteria of the National Cholesterol Education Program (> or =3 of high triglycerides, high fasting glucose, high waist circumference, high blood pressure and low HDL cholesterol). RESULTS: After adjustment for relevant covariates, the odds ratios (95% confidence intervals) for MetS increased in a dose-response manner (P(trend) < 0.01) across < or =1 h/day (1.00, referent), 2 h/day (1.21, 0.54-2.73), 3 h/day (2.16, 0.99-4.74), 4 h/day (1.73, 0.72-4.17) and > or =5 h/day (3.07, 1.48-6.34) screen time categories. Physical activity had a minimal impact on the relation between screen time and MetS. CONCLUSIONS: Screen time was associated with an increased likelihood of MetS in a dose-dependent manner independent of physical activity. These findings suggest that lifestyle-based public health interventions for youth should include a specific component aimed at reducing screen time.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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 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".