MétaCan
Menu
Back to cohort
Record W2004200481 · doi:10.1002/ajhb.20125

Stature and adiposity among children in contrasting neighborhoods in the city of Hamilton, Ontario, Canada

2005· article· en· W2004200481 on OpenAlexafffundabout
Tina Moffat, Tamara S. Galloway, J. Latham

Bibliographic record

VenueAmerican Journal of Human Biology · 2005
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of CanadaNational Science Foundation
KeywordsSocioeconomic statusOverweightDemographyBody mass indexObesityPercentileMedicineShort statureGeographyGerontologyPediatricsPopulationSociologyMathematicsEndocrinologyStatistics

Abstract

fetched live from OpenAlex

It is hypothesized in this study that body size and shape vary by local area within the North American urban environment. This study tests that hypothesis by comparing stature and adiposity among children (of age 6-10 years) attending elementary schools in three neighborhoods that contrast by socioeconomic status and recent immigrant status. While the whole sample of children (n = 266) has 27.4% of children that can be classified as overweight/obese (> or =85th percentile for body mass index), analysis by socioeconomic status (SES) reveals that there are approximately twice as many children in the overweight/obese category in the two low-SES schools compared to the high-SES school. Further analysis by individual school indicates that the school in the poorest neighborhood has a statistically significantly lower mean height-for-age Z score relative to the most affluent school. It is concluded that the influence of socioeconomic, demographic, and environmental factors on stature and adiposity can be investigated through studies such as this one that consider local area variation.

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 score0.200
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)

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 head0.007
GPT teacher head0.249
Teacher spread0.242 · 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

Citations40
Published2005
Admission routes3
Has abstractyes

Explore more

Same venueAmerican Journal of Human BiologySame topicObesity, Physical Activity, DietFrench-language works237,207