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These studies suggest that high protein diets, oat beta-glucan-enriched bread, Mediterranean-style diets, and personalized nutritional interventions can improve glycemic control and metabolic parameters in individuals with pre-diabetes.
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A high protein (HP) diet has shown remarkable success in achieving remission of pre-diabetes. In a randomized controlled trial, participants following a HP diet (30% protein, 30% fat, 40% carbohydrate) for six months experienced a 100% remission rate to normal glucose tolerance. This diet also significantly improved insulin sensitivity, cardiovascular risk factors, inflammatory cytokines, oxidative stress, and lean body mass compared to a high carbohydrate (HC) diet (15% protein, 30% fat, 55% carbohydrate).
Oat-based foods, particularly those enriched with beta-glucans, have been identified as beneficial for glycemic control. A multicenter randomized controlled trial is investigating the effects of consuming oat beta-glucan-enriched bread versus whole-grain wheat bread on glycated hemoglobin (HbA1c) levels in individuals with pre-diabetes. The study aims to provide long-term insights into the effectiveness of beta-glucan-enriched foods as part of a habitual diet.
The Mediterranean diet, characterized by high intake of fruits, vegetables, whole grains, and healthy fats, has been associated with significant health benefits for individuals with pre-diabetes. Studies have shown that this diet can reduce levels of HbA1c, triglycerides, and body mass index (BMI), making it an effective strategy for managing pre-diabetes and preventing progression to type 2 diabetes .
Very low carbohydrate or ketogenic diets (VLC/KDs) have gained popularity for managing pre-diabetes and type 2 diabetes. Systematic reviews and meta-analyses of randomized controlled trials suggest that these diets can effectively improve glycemic control and reduce the risk of diabetes progression. However, the long-term sustainability and overall health impacts of these diets require further investigation.
Personalized dietary interventions, which use machine-learning algorithms to predict individual glycemic responses to meals, are being explored as a more tailored approach to weight loss and glycemic control in pre-diabetes. These interventions consider individual physiological responses and aim to provide more effective dietary recommendations compared to the traditional "one-size-fits-all" approach.
Accurate measurement of dietary intake is crucial for understanding the impact of diet on pre-diabetes. Food frequency questionnaires (FFQs) are commonly used tools that assess usual dietary intake and identify consumption patterns linked to pre-diabetes risk. However, there is a need for more reliable and valid disease-specific FFQs to better capture dietary habits in this population.
Effective dietary management of pre-diabetes involves a variety of strategies, including high protein diets, beta-glucan-enriched foods, Mediterranean diets, low carbohydrate and ketogenic diets, and personalized dietary interventions. Accurate dietary assessment tools are essential for tailoring these interventions to individual needs. By adopting these evidence-based dietary strategies, individuals with pre-diabetes can significantly improve their glycemic control and reduce the risk of progressing to type 2 diabetes.
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