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Simplified screening for overweight in children using the 2007 <scp>WHO R</scp>eference

2012· article· en· W1515641380 on OpenAlexaff
S M Hashim Nainar

Bibliographic record

VenuePediatric Obesity · 2012
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOverweightPercentileMedicineBody mass indexObesityPediatricsStatisticsMathematicsInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this study was to develop a screening instrument for easy identification of overweight in children and adolescents. METHODS: Data derived from the 2007 Growth Reference published by the World Health Organization (WHO) were utilized to compute gender-specific screening values for identification of overweight in 5- to 19-year-olds. Computations were based on age- and gender-specific +1 standard deviation z-scores for the body mass index and calculated for the various height percentiles at 6-month age intervals. RESULTS: The simplified approach for identification of overweight consisted of two tables, one each for girls and boys. Each table described the screening values for overweight at 6-month age intervals for all the 11 height percentiles described in the 2007 WHO Reference. CONCLUSION: The simplified approach uses only the child's height and weight measurements and without any additional computation provides an assessment of overweight status in children and adolescents.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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)

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 head0.031
GPT teacher head0.289
Teacher spread0.258 · 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

Citations5
Published2012
Admission routes1
Has abstractyes

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