Assessment of dietary intake in an Inuvialuit population undergoing a rapid nutrition transition
Bibliographic record
Abstract
Inuvialuit in Arctic Canada are undergoing a rapid nutrition transition and have increased burden of diet‐related chronic disease. However, little is known about the resulting dietary inadequacies. Up to three 24‐hour dietary recalls were collected among adult Inuvialuit in a remote community in the Northwest Territories. Recall data was analyzed for energy and nutrient intake, dietary adequacy, most commonly reported foods, and top food contributors to energy and selected nutrients. Respondents were 14 men and 49 women (mean age 47 and 44 years, respectively, response rate 79%). Mean daily intake of energy was 2,777 kcal for men and 2,457 kcal for women. Levels of dietary fiber and vitamin E were lower than the recommendation in >90% of men and women. Vitamin A intake was below the recommended levels for 79% of men and 82% of women, while 79% of men and 69% of women did not meet the recommendation for folate. Majority of men (79%) and women (92%) did not meet the recommendation for calcium. Traditional foods contributed substantially to protein and iron intake. Sweetened juices/drinks were the main contributors to energy, carbohydrate and sugar intake. This study highlighted the need for a nutritional and lifestyle intervention program such as Healthy Foods North to improve dietary adequacy and reduce risk of chronic disease. Supported by ADA, Government of NWT DHSS, Public Health Agency of Canada, CPHA, and Health Canada.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".