The impact of antioxidant diets, nutraceuticals and physical activity interventions in the prevention of cardiometabolic diseases: An overview
Bibliographic record
Abstract
Hippocrates - Father of Medicine (ca 460-370 BC) - endorsed the cuative effects of foods; he said: "Leave your drugs in the chemist's pot if you can heal the patient with food". This review focuses on the management of cardio-metabolic diseases (CMDs) with nutraceuticals and antioxidant diets such as Allium sativum, turmeric, soybean, peptides, phytosterols, resveratrol, polyphenolic substances etc. CMDs are a cluster of conditions linked to altered fat and carbohydrate metabolism as well as macroand micro-vascular problems. CMDs cause severe pathophysiological and metabolic alterations in the body, resulting in the occurrence of chronic diseases like atherosclerosis, coronary heart disease and stroke, neurodegenerative ailments, fatty liver, kidney malfunction, hypercholesterolaemia, hyperlipidaemia, insulin resi-tance and some cancers, consequently imposing a very high economic burden on the healthcare costs. Currently used pharmacotherapies are not only expensive but also are associated with undesirable adverse events. Thus, there is an urgent need for affordable, cost-effective and alternative safe therapies for the prevention and management of CMDs. Holistic approaches targeted for health promotion and prevention of CMDs include the intake of antioxidant-rich diets, anti-inflammation wholesome foods and moderate physical activity (about 30 min/day). Such strategies will not only prevent obesity-related CMDs, type 2 diabetes mellitus (T2DM), coronary heart disease and stroke, but also will improve the quality of patient's life and consequently reduce healthcare burdens. Nutraceuticals and probiotics exhibit anti-inflammation, anti-aging, anti-obesity and anti-diabetic effects, thereby reducing the adverse health risks associated with CMDs. Antioxidants protect cell membranes and DNA from excessive free radicals, which contribute to CMD related diseases. Physical exercise along with dietary interventions helps to mitigate oxidative stress, improve blood triglyceride levels, increase HDL-cholesterol and reduce LDLcholesterol and reverse the biological markers associated with CMDs. Many studies have provided robust scientific evidence and demonstrated links between dietary interventions, nutraceuticals, probiotics, wholesome foods and physical activity for the prevention of CMDs. The major limitations in promoting nonpharmacological therapies for health and well-being benefits are a lack of public awareness and a paucity of clinical nutrition instruction for medical students on the merits of complementary methods for the prevention and management of CMDs. The goals of this review are to provide up-to-date knowledge about selected nutraceuticals, wholesome foods and physical activity in the prevention of CMDs and the underlying mechanisms associated with each intervention, which will ultimately improve patient's quality of life and assist in reducing healthcare costs globally.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".