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Record W2155643491 · doi:10.21149/spm.v55i5.7248

Screen time in Mexican children: findings from the 2012 National Health and Nutrition Survey (ENSANUT 2012)

2013· article· en· W2155643491 on OpenAlex
Ian Janssen, Catalina Medina, Andrea Pedroza-Tobías, Sı́món Barquera

Why this work is in the frame

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

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSalud Pública de México · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsQueen's University
Fundersnot available
KeywordsScreen timeSocioeconomic statusMedicineGuidelineDemographyEnvironmental healthPediatricsPhysical activityPopulationPhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: To provide descriptive information on the screen time levels of Mexican children. MATERIALS AND METHODS: 5 660 children aged 10-18 years from the 2012 National Health and Nutrition Survey (ENSANUT 2012) were studied. Screen time (watching television, movies, playing video games and using a computer) was self-reported. RESULTS: On average, children engaged in 3 hours/day of screen time, irrespective of gender and age. Screen time was higher in obese children, children from the northern and Federal District regions of the country, children living in urban areas, and children in the highest socioeconomic status and education categories. Approximately 33% of 10-14 year olds and 36% of 15-18 year olds met the screen time guideline of ≤ 2 hours/day. CONCLUSIONS: 10-18 year old Mexican children accumulate an average of 3 hours/day of screen time. Two thirds of Mexican children exceed the recommended maximal level of time for this activity.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.283
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it