Milk consumption and cholesterol homeostasis in postmenopausal women with abdominal obesity
Bibliographic record
Abstract
The objective of this study was to investigate using a randomized, cross over study design the impact of milk consumption on markers of cholesterol absorption and synthesis in postmenopausal women with abdominal obesity. Twenty‐seven women with abdominal obesity consumed under controlled conditions a diet rich in milk (MILK) and a control diet designed according to the National Cholesterol Education Program (NCEP) dietary recommendations, in a random order for 6 weeks each. The macronutritional composition of both diets was comparable (55% carbohydrates, 15% proteins, 30% fat and 10% saturated fat). Milk accounted for 20% of energy intake in the MILK diet. Neither the MILK nor the NCEP diet had an impact on plasma cholesterol, triacylglycerol and apolipoprotein (apo) B concentrations. However, the plasma concentration of β‐sitosterol, a surrogate of intestinal cholesterol absorption, was reduced after the MILK diet compared with NCEP control diet (‐9.2%, P=0.07). The β‐sitosterol/lathosterol ratio, a marker of cholesterol homeostasis that shows a strong correlation with abdominal obesity, was also reduced significantly after the MILK diet compared with the NCEP diet (‐14.9%, P=0.01). These data suggest that while milk consumption may have little effect on plasma cholesterol concentration, it may be associated with subtle but significant changes in cholesterol homeostasis in women with abdominal obesity.
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 | 0.001 | 0.002 |
| 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) | 0.001 | 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".