The Effects Of Dairy Consumption On Bone, Inflammatory, Antioxidant & Metabolic Biomarker Responses To Exercise Or Nutritional Stressors In Humans
Bibliographic record
Abstract
The overall purpose of this dissertation was to examine the impact of dairy product consumption on outcomes of bone, inflammation, antioxidant & metabolic biomarkers both at rest (Chapter 5) and after exposure to different physiological stressors, including exercise (Chapter 3 & 4) and a high-calorie, high-fat meal (Chapter 6). To achieve this, two human intervention studies (divided into 4 papers) that used different stressors in combination with dairy product consumption were conducted. The collective findings indicate that increased dairy product consumption may confer some benefits to post-exercise bone remodeling and basal circulating inflammatory concentrations but does not have a significant effect on postprandial inflammatory, metabolic or glutathione responses. Therefore, including dairy products as part of a balanced diet could have minor beneficial effects if consumed following impact exercise and/or to potentially ameliorate resting low-grade chronic inflammation in people that may be at higher risk of developing metabolic disease.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".