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Record W2323784490 · doi:10.1139/apnm-2012-0167

How is nutrition transition affecting dietary adequacy in Eeyouch (Cree) adults of Northern Quebec, Canada?

2013· article· en· W2323784490 on OpenAlexaffvenueabout
Louise Johnson‐Down, Grace M. Egeland

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMcGill University
Fundersnot available
KeywordsNutrition transitionGeographyGerontologyDemographyEnvironmental healthMedicineSociologyBody mass indexEndocrinologyOverweight

Abstract

fetched live from OpenAlex

Rapid development, including the building of hydroelectric projects and roads in remote areas of Northern Quebec, Canada, has led to concerns about the contamination of traditional foods (TF) and a transition to a diet characterized by increased commercial food intake. A cross-sectional study of 850 Cree adults, aged ≥19 years, from 7 of the 9 Eeyouch communities was conducted during the spring and summer seasons of 2005-2008. Anthropometric measures were collected. TF and dietary intake were assessed using food-frequency questionnaires (FFQs) and 24-h recalls. Obesity was high, with 77% of the women and 64% of the men classified as obese. Past-year TF consumption was 100%, and 41% of participants reported eating TF on the 24-h recall. TF intake as reported on both the FFQs and the 24-h recalls was higher in individuals aged >50 years of age and in men, relative to younger adults and women, respectively. TF consumption increased protein, vitamin D, iron, and magnesium in all individuals, and energy, cholesterol, magnesium, sodium, and zinc in men aged 19-50 years; it decreased vitamin C in men and women aged ≥51 years. Participants reported drinking a mean daily 0.78 ± 1.34 cans of soft drinks or other high-sugar beverages per day or 5.28% ± 8.92% of total energy. It is important to identify behaviours that are contributing to obesity and its health consequences in this population and to find culturally appropriate ways to promote the consumption of TF and to reduce the consumption of energy-dense and nutrient-poor beverages and food items.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score0.806

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 studies0.0010.000
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 head0.014
GPT teacher head0.264
Teacher spread0.250 · 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
Published2013
Admission routes3
Has abstractyes

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