Ethnic, geographic and dietary influences upon vasoactive hormones and blood pressure among Greenland Inuit and Danes
Bibliographic record
Abstract
AIM: To study levels of vasoactive hormones and urinary excretion of sodium and potassium between groups of Greenland Inuit and Danes, and to analyse the relationship between these hormones and 24-h blood pressure, including nightly blood pressure dips and pulse pressure. METHODS: 145 Greenlandic participants were categorized in three groups according to degree of westernization, based on dietary habits and current place of residence; 41 Danes were included as controls. Twenty-four-hour blood pressure was measured. Venous plasma concentrations of vasoactive hormones were measured. Urine was collected for 24 hours for analysis of excretion of sodium and potassium. RESULTS: The Inuit population of Greenland had a lower diastolic blood pressure, a higher pulse pressure and lower nocturnal blood pressure dip than Danes had. Angiotensin II in plasma and urine excretion of potassium were higher among Greenlanders compared with Danes, irrespective of diet and place of residence. Aldosterone and urine excretion of sodium were significantly higher among participants in Denmark compared with participants in Greenland. Brain natriuretic peptide and atrial natriuretic peptide were independently and negatively associated with diastolic blood pressure, and vasopressin was positively associated with systolic blood pressure and pulse pressure. Ethnic differences in the effect of vasoactive hormones or urinary sodium and potassium excretion could not explain the difference in blood pressure. CONCLUSION: It is suggested that a high dietary intake of potassium and low sodium intake among Greenlanders may affect blood pressure. Further attention should be drawn to the occurrence of high pulse pressure and high activity in the renin-angiotensin system in Inuit populations.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".