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Record W2340148167

Physical activity in U.S. youth aged 12-15 years, 2012.

2014· article· en· W2340148167 on OpenAlexaboutno aff
Tala H.I. Fakhouri, Jeffery P. Hughes, Vicki L. Burt, Min Kyoung Song, Janet E. Fulton, Cynthia L. Ogden

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsNational Health and Nutrition Examination SurveyBasketballPhysical activityMedicineFootballNational Health Interview SurveyGerontologyPhysical therapyQuarter (Canadian coin)Youth Risk Behavior SurveyPhysical fitnessDemographyInjury preventionPoison controlEnvironmental healthPopulation
DOInot available

Abstract

fetched live from OpenAlex

KEY FINDINGS: Data from the combined National Health and Nutrition Examination Survey (NHANES) and the NHANES National Youth Fitness Survey, 2012. In 2012, about one-quarter of U.S. youth aged 12-15 years engaged in moderate-to-vigorous physical activity for at least 60 minutes daily. Basketball was the most common activity reported among active boys, followed by running, football, bike riding, and walking. Running was the most common activity among active girls, followed by walking, basketball, dancing, and bike riding. The percentage of male youth who were physically active for at least 60 minutes daily decreased as weight status increased. The 2008 Physical Activity Guidelines for Americans, which have been adopted by the First Lady's Let's Move! initiative and the American Academy of Pediatrics, recommend that youth participate in daily moderate-to-vigorous physical activity for at least 60 minutes (1-5). This report presents the most recent national data from 2012 on self-reported physical activity among youth aged 12-15 years, by sex and weight status. This report also describes the most common types of physical activities--outside of school-based physical education (PE) or gym classes--in which youth engage.

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.

How this classification was reachedexpand

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)0.000
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 score0.499
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.027
GPT teacher head0.248
Teacher spread0.221 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations112
Published2014
Admission routes1
Has abstractyes

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