Selected anthropometric measurements of Akwesasne Mohawk youth: Skinfolds, circumferences, and breadths
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".