Diabetes Nutrition Algorithm - Prediabetes
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- 200
Summary
- Conditions
- Diabetes Mellitus - Type 2
- Dyslipoproteinemia
- NAFLD
- Obesity
- Prediabetes
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentMasking: None (Open Label)Primary Purpose: Prevention
Participation Requirements
- Age
- Between 18 years and 75 years
- Gender
- Both males and females
Description
Prediabetes, defined by either impaired fasting glucose and/or impaired glucose tolerance, is a known high-risk condition predisposing to future diabetes mellitus type 2. Strategies to prevent progression from prediabetes to diabetes have been widely studied, however, without striking long-term effe...
Prediabetes, defined by either impaired fasting glucose and/or impaired glucose tolerance, is a known high-risk condition predisposing to future diabetes mellitus type 2. Strategies to prevent progression from prediabetes to diabetes have been widely studied, however, without striking long-term effects of any kind of intervention (pharmacological, behavioral...). The investigators therefore investigate certain nutritional approaches concerning nutrient content and favorable food components, targeting metabolic improvement. The main comparison will assess differences in metabolic outcome due to low-carb or low-fat dietary intervention in short- and long-term design. Additionally, the role of PUFA will be assessed during long-term intervention to achieve better maintenance of metabolic improvements from the first study phase.
Tracking Information
- NCT #
- NCT02609243
- Collaborators
- German Diabetes Center
- Investigators
- Principal Investigator: Andreas FH Pfeiffer, Prof. Dr. German Institute of Human Nutrition