n-3 Polyunsaturated Fatty Acids Increase: Thermic Effect of Food in Men with Metabolic Syndrome
Bibliographic record
Abstract
PURPOSE: Effects on energy metabolism of a test meal and a two-week dietary intervention were observed in men with metabolic syndrome (MetS). Both the meal and the intervention included foods containing fish-derived n-3 polyunsaturated fats (PUFA). METHODS: Six men with MetS (46.7 ± 12.1 years, 37.2 ± 5.6 kg/m(2), mean ± standard deviation) completed two test days, separated by a 14-day dietary intervention during which they consumed at least 2.0 g per day of n-3 PUFA from supplied foods. Pre- and post-intervention measurements included body composition, resting metabolic rate (RMR), and the thermic effect of food (TEF) measured for six hours after ingestion of a test meal consisting of 1.43 g of fish-derived n-3 PUFA. RESULTS: Intakes of n-3 PUFA increased over the 14-day intervention, from 0.43 g per day ± 0.48 to 2.92 g per day ± 1.97 (p=0.013), while no changes were observed in total energy intakes, weight, body composition, or RMR (all p>0.05). The TEF increased by 51.3% (p=0.036), and the non-protein respiratory quotient decreased by 36.0% (p=0.700). CONCLUSIONS: Subjects increased their intake of fish-derived n-3 PUFA in an isocaloric manner while maintaining body weight and composition, and increased the TEF. More studies with larger sample sizes and longer intervention periods are required to confirm the use of fish-derived n-3 PUFA as a therapeutic dietary strategy for people with MetS.
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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) | 0.001 | 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) | 0.002 | 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".