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Record W1971093489 · doi:10.3402/ijch.v70i5.17863

Changing dietary patterns and body mass index over time in Canadian Inuit communities

2011· article· en· W1971093489 on OpenAlexaffabout
Nelofar Sheikh, Grace M. Egeland, Louise Johnson‐Down, Harriet V. Kuhnlein

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2011
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMcGill University
Fundersnot available
KeywordsBody mass indexDemographyObesityMedicineGerontologyEnvironmental healthOverweightGeography

Abstract

fetched live from OpenAlex

OBJECTIVES: The International Polar Year (IPY) Inuit Health Survey provided an opportunity to compare dietary and body mass index (BMI) data with data collected a decade earlier for the same communities. STUDY DESIGN: A dietary survey included 1,929 randomly selected participants aged 15 years or older, selected from 18 Inuit communities in 1998-1999. The IPY survey included 2,595 randomly selected participants aged 18 years or older, selected from 36 Inuit communities in 2007-2008. Data from the same 18 communities included in both surveys were compared for adults 20 years and older. METHODS: Twenty-four-hour dietary recall data were analysed to assess the percentage of energy from traditional and market foods by sex and age groups. Body mass index (BMI) was assessed to establish the prevalence of obesity by sex and age groups in both surveys. RESULTS: There was a significant decrease (p≤0.05) in energy contribution from traditional food and a significant increase in market food consumption over time. Sugar-sweetened beverages, chips and pasta all increased as percentages of energy. BMI increased overall for women and for each age stratum evaluated (p<0.05). CONCLUSION: The nutrition transition continues in the Canadian Arctic with a concurrent increase in BMI.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.355
Teacher spread0.310 · 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.

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

Citations68
Published2011
Admission routes2
Has abstractyes

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