Exploring the Impact of Intermittent Fasting on Metabolic Syndrome, Prediabetes and Type 2 Diabetes: a systematic review
Bibliographic record
Abstract
Introduction: Metabolic syndrome, prediabetes and type 2 diabetes mellitus represent a growing and interconnected health challenge, gaining significant attention due to their high prevalence and impact they have on individuals' well-being. Intermittent Fasting (IF), involving cycling between periods of fasting and eating, has emerged as a promising dietary approach garnering substantial attention for its potential therapeutic effects on metabolic health. Purpose: This review aims to explore the impact of intermittent fasting on metabolic disease by examining recent studies. Methods: A review of the recent literature was conducted to explore potential positive effects of IF on relevant metabolic parameters. Results: The findings from the reviewed studies demonstrated favorable effects of IF associated with improvements in glycemic control as improved insulin sensitivity and decreased HbA1c levels. Additionally, it led to significant reductions in body weight and waist circumference. Beneficial effects on lipid profiles, such as reduced triglyceride levels, were also observed in some studies. Conclusions: The reviewed studies provide strong evidence supporting the effectiveness of IF regimens in improving metabolic factors, including weight, insulin sensitivity and lipid profiles in individuals with abnormal glucose metabolism. IF offers a promising dietary strategy potentially providing additional benefits beyond conventional dietary interventions. However, further research is needed to elucidate the long-term effects, optimal fasting protocols and potential mechanisms underlying the benefits of intermittent fasting in these conditions.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".