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Relationship between screen time and metabolic syndrome in adolescents

2008· article· en· 271 citations· W2137460945 on OpenAlex· 10.1093/pubmed/fdn022

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: ObservationalConsensus signal: Observational
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.012
Threshold uncertainty score
0.376
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.093
GPT teacher head0.335
Teacher spread
0.243 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

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.

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.

The record

Venue
Journal of Public Health
Topic
Obesity, Physical Activity, Diet
Field
Medicine
Canadian institutions
Queen's University
Funders
Ontario Ministry of Research and InnovationCanadian Institutes of Health Research
Keywords
Screen timeWaistMedicineMetabolic syndromeNational Cholesterol Education ProgramConfidence intervalOdds ratioNational Health and Nutrition Examination SurveyPsychological interventionPublic healthDemographyObesityGerontologyInternal medicineEnvironmental healthPopulation
Has abstract in OpenAlex
yes