Vitamin D status in Greenland is influenced by diet and ethnicity: a population-based survey in an Arctic society in transition
Bibliographic record
Abstract
Vitamin D status as measured by plasma 25-hydroxyvitamin D (25(OH)D) is important to human health. Circumpolar people rely on dietary sources and societal changes in the Arctic are having profound dietary effects. The objective of the present study was to determine plasma 25(OH)D status and factors important to plasma 25(OH)D in populations in Greenland. Inuit and non-Inuit aged 50-69 years in the capital in West Greenland (latitude 64°15'N) and in a major town and remote settlements in East Greenland (latitude 65°35'N) were surveyed. Supplement use and lifestyle factors were determined by questionnaires. Inuit food scores were computed from a FFQ of seven traditional Inuit and seven imported food items. 25(OH)D₂ and 25(OH)D₃ levels were measured in the plasma. We invited 1 % of the population of Greenland, and 95 % participated. 25(OH)D₃ contributed 99·7 % of total plasma 25(OH)D. Non-Inuit had the lowest median plasma 25(OH)D of 41 (25th-75th percentile 23-53) nmol/l compared with 64 (25th-75th percentile 51-81) nmol/l in Inuit (P< 0·001). Plasma 25(OH)D was below 20 and 50 nmol/l in 13·8 and 60·1 % of participants, respectively, with Inuit food item scores below 40 % (P< 0·001), and in 0·2 and 25·0 % of participants, respectively, with higher scores (P< 0·001). The Inuit diet was an important determinant of plasma 25(OH)D (P< 0·001) and its effect was modified by ethnicity (P= 0·005). Seal (P= 0·005) and whale (P= 0·015) were major contributors to plasma 25(OH)D. In conclusion, a decrease in the intake of the traditional Inuit diet was associated with a decrease in plasma 25(OH)D levels, which may be influenced by ethnicity. The risk of plasma 25(OH)D deficiency in Arctic populations rises with the dietary transition of societies in Greenland. Vitamin D intake and plasma 25(OH)D status should be monitored.
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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 | 0.000 |
| 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 | 0.000 | 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".