A single 1-h session of moderate-intensity aerobic exercise does not modify lipids and lipoproteins in normolipidemic obese women
Bibliographic record
Abstract
The purpose of this study was to quantify the effects of a single session of aerobic exercise on lipids and lipoproteins in women who were sedentary and obese. Women (n = 12) who were premenopausal, sedentary, and obese (body mass index, 30-40 kg·m(-2); waist circumference > 88 cm) completed exercise and control trials in a randomly assigned order. Exercise consisted of a single session of treadmill walking at 70% maximum oxygen uptake until 500 kcal were expended, and the control protocol consisted of 60 min of seated rest. Fasting blood samples were collected immediately prior to, 24 h, and 48 h following the exercise and control sessions and analyzed for triglyceride, total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), HDL(2)-C, and HDL(3)-C concentrations, and mean LDL, HDL(2), and HDL(3) particle size and cholesterol distributions. A 2 × 3 (trial × time) ANOVA with repeated measures revealed no significant (p > 0.05) changes in the lipid and lipoprotein variables 24 and 48 h following exercise. In contrast to previously published data in lean men and women, a single session of treadmill exercise at 70% maximum oxygen uptake that expended 500 kcal was insufficient to modify lipids and lipoproteins in women who were sedentary, normolipidemic, and obese.
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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 | 0.000 |
| 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".