The Role of Dietary Fats in Hypertension, Obesity and Insulin Resistance: A Comparative Study of Animals and Humans in Fetal and Adult Life
Bibliographic record
Abstract
It has long been established that dietary fats play a significant role in both the prevention and progression of chronic disease. Hypertension, obesity, and insulin resistance are three recognized risk factors for the development of cardiovascular disease and are largely influenced by dietary fat intake. Saturated fat intake is well known to promote the development of chronic disease. Monounsaturated fats are considered to be beneficial, whereas the role that polyunsaturated fats play in health and disease has become increasingly controversial. Polyunsaturated fats are generally thought to be beneficial for human health, however the controversy relates to whether these are rich in omega-6 or omega- 3 fatty acids, and the ratio of these fatty acids. Studies have shown that these fats can exert both positive and negative effects on weight gain, blood pressure, and glucose metabolism. Recent studies indicate that dietary fat intake can affect not only the health of the adult, but that fats may also play an important role during fetal development. This review examines the role that saturated, monounsaturated, and polyunsaturated fats play in the onset, progression, and prevention of hypertension, obesity, and insulin resistance in animal models and human studies. More specifically, we have addressed the role of dietary fats during fetal development and in the health of adults and children. Keywords: Dietary fat, hypertension, obesity, insulin resistance
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".