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Record W4220811141 · doi:10.55549/ephels.13

Overweight-obesity in Children and Adolescents Aged 6 to 17 in Moncton, Canada

2022· article· en· W4220811141 on OpenAlexaffabout
Michelle ARSENAULT, Noureddine MENADI, Slimane Belbraouet

Bibliographic record

VenueThe Eurasia Proceedings of Health Environment and Life Sciences · 2022
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsOverweightObesityMedicineDemographyGerontologyPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Obesity and overweight are a public health problem not only in adults but also in children and adolescents. Objectives: The purpose of this study is to assess the prevalence of overweight and obesity and its relationship with certain risk factors in children and adolescents aged 6 to 17 years in the region of Greater Moncton (Canada). Methods: The size and weight of the subjects are collected through the general selfadministered questionnaire. BMI is extrapolated on growth curves based on the age of the CDC. Results: 3.8% subjects fall into the category under weight, 80.6% in the category healthy weight, 10.3% in the category overweight, 5.3% in the category obesity and 15.6% in the combined category (overweight and obesity). Conclusion: This study helped highlight that rates of obesity and overweight combined exceed not only the national rate but closer rates found among Aboriginal people living off-reserve.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueThe Eurasia Proceedings of Health Environment and Life Sciences→Same topicObesity, Physical Activity, Diet→French-language works237,207→