Very high concentrations of n-3 fatty acids in peri-and postmenopausal Inuit women from Greenland
Bibliographic record
Abstract
OBJECTIVES: The objectives of this study were to examine the profile of relative concentrations in plasma phospholipids of n-3 fatty acids among peri- and postmenopausal Inuit women living in Greenland and to verify their relationships with ischemic heart disease risk factors and more particularly, with concentrations of plasma triacylglycerols. STUDY DESIGN: This study was part of a survey conducted in 2000, which aimed to assess the prevalence of osteoporosis and the associated risk factors among peri- and postmenopausal Greenland Inuit women. METHODS: The study population consisted of 153 women aged 49-69 years (mean +/- SD: 55.3 +/- 4.4 y) randomly selected. Data were obtained through an interview (questionnaire on lifestyle habits, medical history etc) and a clinical session (physiologic and anthropologic measurements). Plasma samples were used to measure the fatty acid composition of plasma phospholipids. RESULTS: The mean body mass index of women was 27.9 +/- 6.1. Seventy-five percent were smokers and 9% were currently on hormone replacement therapy. Relative concentrations of total n-3 fatty acids were very high (13.8%, 95% CI: 13.1-14.6), with docosahexanoic and eicosapentanoic acids accounting for 4.7% and 7.2%, respectively. The ratio of n-3:n-6 fatty acids was 0.67. n-3 fatty acids were inversely correlated to triacylglycerols. CONCLUSION: These data show that peri- and post-menopausal Greenland Inuit women have very high plasma concentrations of n-3 fatty acids that protect them from ischemic heart disease.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".