Impact of low <i>v.</i> moderate intakes of long-chain <i>n</i>-3 fatty acids on risk of coronary heart disease
Bibliographic record
Abstract
The objective of the present study was to determine whether the consumption of ≥ 250 v. < 250 mg of the long-chain n-3 fatty acids (n-3 LCFA) per d is associated with a reduction in the risk of fatal and non-fatal CHD in individuals with no prior history of CHD. A comprehensive and systematic review of the published scientific literature resulted in the identification of eight prospective studies (seven cohorts and one nested case-control study) that met predefined inclusion criteria. Relative to the consumption of < 250 mg n-3 LCFA per d, the consumption of ≥ 250 mg/d was associated with a significant 35·1 % reduction in the risk of sudden cardiac death and a near-significant 16·6 % reduction in the risk of total fatal coronary events, while the risk of non-fatal myocardial infarction was not significantly reduced. In several meta-analyses, which were based on US studies, risk of CHD death was found to be dose-dependently reduced by the n-3 LCFA, with further risk reductions observed with intakes in excess of 250 mg/d. Prospective observational and intervention data from Japan, where intake of fish is very high, suggest that n-3 LCFA intakes of 900 to 1000 mg/d and greater may confer protection against non-fatal myocardial infarction. Thus, the intake of 250 mg n-3 LCFA per d may, indeed, be a minimum target to be achieved by the general population for the promotion of cardiovascular health.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".