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Assessment of dietary adequacy in a remote Inuvialuit population

2010· article· en· W1557802077 on OpenAlexaffabout
Eva Erber, Beth Hopping, Lindsay Beck, Tony Sheehy, E. De Roose, Sangita Sharma

Bibliographic record

VenueJournal of Human Nutrition and Dietetics · 2010
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of AlbertaGovernment of Northwest Territories
Fundersnot available
KeywordsMedicinePopulationEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Traditional foods are rich sources of essential nutrients, but Inuvialuit in the Northwest Territories (NWT), Canada, have been undergoing a nutrition transition, characterised by an increased consumption of non-nutrient-dense foods. The present study aimed to characterise energy, nutrient and food intakes amongst adult Inuvialuit. METHODS: The study collected up to three 24-h dietary recalls on nonconsecutive days for each participant in spring/summer of 2008 in one remote community in the NWT. Recall data were analysed for energy and nutrient intake, dietary adequacy, most commonly reported foods, and food contributors to energy and nutrients. RESULTS: Participants included 14 men and 50 women (response rate 79%). Median daily energy intake was 9.4 (interquartile range=5.7) MJ for men and 8.3 (3.6) MJ for women. The majority of adult Inuvialuit did not meet the recommendation for vitamins A [median intake=344.7 (246.3) μg-RAE in men, 248.9 (213.8) μg-RAE in women], B(6) [0.9 (0.8) mg in men, 1.0 (0.5) mg in women] and E [2.4 (2.1) mg in men, 1.8 (1.0) mg in women], dietary fibre [7.7 (5.7) g in men, 8.7 (4.4) g in women], calcium [779.6 (842.0) mg in men, 610.4 (431.5) mg in women] and total folate [222.6 (57.7) μg in men, 264.6 (127.5) μg in women]. Vitamin D intake was below the recommendation for most women [median intake=100.0 (119.2) IU]. Traditional foods contributed substantially to protein and iron intake. Juices were the main contributors to energy, carbohydrate and calcium. CONCLUSIONS: The present study revealed an inadequate consumption of essential nutrients in an Inuvialuit population. If these nutrient deficiencies continue, this population will face an increased burden of chronic diseases and malnutrition.

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 score0.076
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

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

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 head0.057
GPT teacher head0.439
Teacher spread0.382 · 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

Citations43
Published2010
Admission routes2
Has abstractyes

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