Efficacy of a Therapeutic Lifestyle Change/Step 2 diet in moderately hypercholesterolemic middle-aged and elderly female and male subjects
Bibliographic record
Abstract
Lifestyle modification to decrease cardiovascular disease (CVD) risk has recently been reaffirmed by both the National Cholesterol Education Program and American Heart Association (AHA). Using a randomized crossover design, the Therapeutic Lifestyle Change (TLC)/Step 2 diet relative to a typical Western diet was assessed in 36 moderately hypercholesterolemic subjects in a clinical setting under iso-weight conditions. Mean lipoprotein and apolipoprotein levels (fasting and non-fasting), fatty acid profiles, parameters of HDL metabolism, and glucose homeostasis were determined. Relative to the Western diet, the TLC/Step 2 diet resulted in 11% and 7% lower LDL cholesterol (LDL-C) and HDL cholesterol (HDL-C), respectively, with no significant change in TG levels or total cholesterol-HDL-C ratio. Similar responses were observed in the non-fasting state. Linoleic (18:2n-6c) and α-linolenic (18:3n-3) acids increased at the expense of oleic acid (18:1n-9c) in the cholesteryl ester, TG, and phospholipid subfractions. The dietary changes had no significant effect on fractional esterification rate of HDL, phospholipid transfer protein (PLTP), or cholesterol ester transfer protein activities, or glucose and insulin levels. Female and male subjects responded similarly. The TLC/Step 2 diet resulted in a decrease in some CVD risk factors and no apparent adverse effects in others. —Lichtenstein, A. H., L. M. Ausman, S. M. Jalbert, M. Vilella-Bach, M. Jauhiainen, S. McGladdery, A. T. Erkkilä, C. Ehnholm, J. Frohlich, and E. J. Schaefer. Efficacy of a Therapeutic Lifestyle Change/Step 2 diet in moderately hypercholesterolemic middle-aged and elderly female and male subjects.
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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 | 0.001 | 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 | 0.001 | 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".