MétaCan
Menu
← Back to cohort
Record W7162101704 · doi:10.82308/4977

Identifying the extent to which diet quality and physical activity levels relate to obesity and insulin resistance in liyiyiu Aschii (Cree) adults

2011· dissertation· en· W7162101704 on OpenAlexaboutno aff
Robert Lazzinnaro

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsObesityInsulin resistanceBody mass indexPhysical activityNutrition transitionDiabetes mellitusOdds ratioOdds

Abstract

fetched live from OpenAlex

In the James Bay Cree of Canada a nutrition transition has contributed to an increased prevalence of obesity and chronic diseases. A cross-sectional survey was conducted in five Iiyiyiu Aschii (Cree) communities. Dietary characteristics and physical activity levels were evaluated for their association with adiposity and insulin resistance in James Bay Cree adults (n = 486). The current analyses were restricted to those 18 years of age and older without a pre-existing diagnosis of diabetes mellitus. Diet quality, physical activity levels, and other characteristics were evaluated for their associations with obesity, impaired fasting glucose (IFG), and insulin resistance. The results revealed that regular walking (≥ 6 days/week) was inversely associated to adiposity measures and HOMA-IR (Homeostasis Model Assessment of Insulin Resistance). In addition, the consumption of high-sugar drinks was associated with having an at-risk body mass index (BMI) and increased odds ratio (OR) for having an IFG in analyses adjusted for age, sex, and regular walking. The results indicate that promotion of daily walking and cessation of high-sugar drinks may help mitigate nutrition and epidemiologic transition in Cree communities.

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)0.001
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 score0.283
Threshold uncertainty score0.570

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.101
GPT teacher head0.433
Teacher spread0.332 · 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
Published2011
Admission routes1
Has abstractyes

Explore more

Same topicIndigenous Studies and Ecology→French-language works237,207→