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Record W2087012968 · doi:10.1002/ajhb.20612

Selected anthropometric measurements of Akwesasne Mohawk youth: Skinfolds, circumferences, and breadths

2007· article· en· W2087012968 on OpenAlexaboutno aff
Mia V. Gallo, Lawrence M. Schell

Bibliographic record

VenueAmerican Journal of Human Biology · 2007
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
FundersNational Institute of Environmental Health SciencesState University of New York
KeywordsMohawkOverweightAnthropometryHumObesityDemographyNative americanBody mass indexGeographyEnvironmental healthGerontologySkinfold thicknessMedicineEthnologyArchaeologyLibrary scienceHistoryPathologySociology

Abstract

fetched live from OpenAlex

Nationally, Native American youth have been shown to be at risk for overweight, and an increased prevalence of obesity among Native American children has been consistently reported. We describe skinfolds, circumferences, and body breadths to assess body size and shape of Akwesasne Mohawk youth (n = 271) between the ages of 10.0 and 16.99. Akwesasne is a sovereign nation with territory in New York state and Canada. Sex- and age-specific comparisons were made to reference values published from the Advance Data from Vital and Health Statistics and from the Third National Health and Examination Survey (NHANES III). Akwesasne youth have thicker skinfolds and larger circumferences than youth in the national surveys. Additionally, these cross-sectional data indicate that body fat is more centrally distributed in Akwesasne Mohawk boys and girls. Given the numerous studies emphasizing the importance of body fat distribution as a risk factor for chronic, obesity-related diseases prevalent within Native American communities, and the high level of fatness presented in this study, more concerted efforts need to be applied to help reduce the development of overweight in children from an early age.

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)0.000
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 score0.062
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.040
GPT teacher head0.326
Teacher spread0.286 · 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

Citations9
Published2007
Admission routes1
Has abstractyes

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