Comparing the Impact of Saturated Fatty Acids from Different Dairy Sources on Plasma Lipids: Preliminary Data from a Randomized Controlled Trial
Bibliographic record
Abstract
Objective To investigate the impact of saturated fatty acids (SFA) from different dairy products, namely cheese and butter, on plasma lipid levels in men and women. Methods This multicenter randomized crossover trial study involved 90 men and women with abdominal obesity and relatively low HDL‐C levels from the Quebec City and Winnipeg metropolitan areas. Subjects were randomized to sequences of 5 diets of 4 weeks each, with a 4 week washout between diets. The 5 isocaloric diets were the following: 1) a diet rich in SFA from cheese (CHEESE); 2) a diet rich in SFA from butter (BUTTER); 3) a diet rich in mono‐unsaturated fatty acids (MUFA); 4) a diet rich in poly‐unsaturated fatty acids (PUFA); and 5) a low‐fat, high carbohydrate diet (CHO). The macronutrient, calcium and sodium content of each diet is shown in . All foods were provided to participants in the context of this feeding study. Preliminary results Preliminary results are presented for a total of 57 participants recruited in Quebec City. There was no significant change in anthropometric measurements among the five diets. BUTTER significantly raised serum LDL‐C and HDL‐C (+7.1% and +8.0% respectively, p<0.01) while CHEESE only raised serum HDL‐C (+5.3%, p<0.05) compared with CHO. Serum LDL‐C concentrations were higher with BUTTER than with CHEESE (+2.5%, p=0.02) while serum TG were higher with CHEESE than with BUTTER (+9.5%, p=0.007). Lowest serum LDL‐C concentrations were seen after the MUFA and the PUFA diets. Conclusion Preliminary data from this carefully controlled feeding study suggest that the cardiometabolic change induced by consumption of SFA may be influenced by its food source. SFA from cheese may have less of an effect on serum LDL‐C but may be associated with increased plasma TG levels compared with SFA from butter. This suggests that the food matrix may influence the impact of constituent nutrients on health. The impact of such findings in terms of cardiovascular risk needs to be investigated further. Support or Funding Information Dairy Research Cluster Initiative ( Dairy Farmers of Canada, Agriculture and Agri‐Food Canada, the Canadian Dairy Network and the Canadian Dairy Commission) Macronutrient (% energy), calcium and sodium content of experimental diets CHEESE BUTTER MUFA PUFA CHO Lipids (%) 32 32 32 32 25 SFA (%) 13 13 6 6 6 MUFA (%) 14 14 21 14 14 PUFA (%) 5 5 5 12 5 Carbohydrates (%) 52 52 52 52 59 Proteins (%) 16 16 16 16 16 Calcium (mg/2500 kcal) 1261 812 812 812 842 Sodium (mg/2500 kcal) 2482 2480 2479 2479 2485
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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".