The Transcultural Diabetes Nutrition Algorithm: A Middle Eastern Version

Area of Science:

• Endocrinology
• Nutrition Science
• Public Health

Background:

• Diabetes prevalence is exceptionally high in the Middle East, with Gulf countries and Egypt facing significant public health challenges.
• Effective medical nutrition therapy (MNT) is crucial for managing diabetes, but requires culturally relevant dietary advice.
• Existing guidelines like the transcultural Diabetes Nutrition Algorithm (tDNA) need regional adaptation for optimal patient adherence.

Purpose of the Study:

• To adapt the international transcultural Diabetes Nutrition Algorithm (tDNA) for the specific needs of the Middle Eastern population.
• To develop region-specific recommendations and educational materials for healthcare professionals managing type 2 diabetes in the Middle East.
• To ensure nutritional guidance aligns with regional foods and cultural practices to improve patient outcomes.

Main Methods:

• Convening a Task Force of regional and global experts in diabetes, obesity, and metabolic disorders.
• Achieving consensus on Middle East-specific adaptations to the tDNA through expert deliberation.
• Developing recommendations, position statements, figures, and tables for the tDNA-Middle Eastern (tDNA-ME) version.

Main Results:

• The tDNA-ME Task Force successfully adapted the algorithm and created supportive educational materials.
• Evidence-based guidance tailored to Middle Eastern customs and foods was established.
• The adapted algorithm aims to enhance nutritional care for individuals with type 2 diabetes in the region.

Conclusions:

• The tDNA-ME provides a culturally sensitive, evidence-based framework for nutritional management of type 2 diabetes in the Middle East.
• Healthcare professionals can utilize the tDNA-ME and its educational resources to optimize patient care.
• Tailoring nutritional advice to regional practices is essential for improving diabetes management and patient adherence in the Middle East.