Assessment of dietary adequacy in a remote Inuvialuit population
Bibliographic record
Abstract
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.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".