Next Article in Journal
l-Leucine Supplementation Worsens the Adiposity of Already Obese Rats by Promoting a Hypothalamic Pattern of Gene Expression that Favors Fat Accumulation
Previous Article in Journal
Comparison of Nutritional Quality of the Vegan, Vegetarian, Semi-Vegetarian, Pesco-Vegetarian and Omnivorous Diet
Open AccessReview

Transcultural Diabetes Nutrition Algorithm (tDNA): Venezuelan Application

Department of Physiology, School of Medicine, Universidad Centro-Occidental "Lisandro Alvarado", Cardio-Metabolic Unit, Barquisimeto 3001, Venezuela
Joslin Diabetes Center, Harvard University, Boston, MA 02215, USA
Endocrinology Service, Centro Médico Docente "La Trinidad", Caracas 1080A, Venezuela
Internal Medicine Department, Centro Médico "Guerra Méndez", Valencia 2001, Venezuela
MedERA, Inc., New York, NY 10019, USA
Department of Preventive Medicine and Community Health, University of Medicine and Dentistry of New Jersey, Newark, NJ 07101, USA
Abbott Nutrition International, Columbus, OH 43219, USA
Division of Endocrinology, Diabetes, and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Author to whom correspondence should be addressed.
Nutrients 2014, 6(4), 1333-1363;
Received: 12 December 2013 / Revised: 18 January 2014 / Accepted: 23 January 2014 / Published: 2 April 2014
Medical nutrition therapy (MNT) is a necessary component of comprehensive type 2 diabetes (T2D) management, but optimal outcomes require culturally-sensitive implementation. Accordingly, international experts created an evidence-based transcultural diabetes nutrition algorithm (tDNA) to improve understanding of MNT and to foster portability of current guidelines to various dysglycemic populations worldwide. This report details the development of tDNA-Venezuelan via analysis of region-specific cardiovascular disease (CVD) risk factors, lifestyles, anthropometrics, and resultant tDNA algorithmic modifications. Specific recommendations include: screening for prediabetes (for biochemical monitoring and lifestyle counseling); detecting obesity using Latin American cutoffs for waist circumference and Venezuelan cutoffs for BMI; prescribing MNT to people with prediabetes, T2D, or high CVD risk; specifying control goals in prediabetes and T2D; and describing regional differences in prevalence of CVD risk and lifestyle. Venezuelan deliberations involved evaluating typical food-based eating patterns, correcting improper dietary habits through adaptation of the Mediterranean diet with local foods, developing local recommendations for physical activity, avoiding stigmatizing obesity as a cosmetic problem, avoiding misuse of insulin and metformin, circumscribing bariatric surgery to appropriate indications, and using integrated health service networks to implement tDNA. Finally, further research, national surveys, and validation protocols focusing on CVD risk reduction in Venezuelan populations are necessary. View Full-Text
Keywords: diabetes; T2D; prediabetes; nutrition; MNT diabetes; T2D; prediabetes; nutrition; MNT
Show Figures

Figure 1

MDPI and ACS Style

Nieto-Martínez, R.; Hamdy, O.; Marante, D.; Marulanda, M.I.; Marchetti, A.; Hegazi, R.A.; Mechanick, J.I. Transcultural Diabetes Nutrition Algorithm (tDNA): Venezuelan Application. Nutrients 2014, 6, 1333-1363.

AMA Style

Nieto-Martínez R, Hamdy O, Marante D, Marulanda MI, Marchetti A, Hegazi RA, Mechanick JI. Transcultural Diabetes Nutrition Algorithm (tDNA): Venezuelan Application. Nutrients. 2014; 6(4):1333-1363.

Chicago/Turabian Style

Nieto-Martínez, Ramfis; Hamdy, Osama; Marante, Daniel; Marulanda, María I.; Marchetti, Albert; Hegazi, Refaat A.; Mechanick, Jeffrey I. 2014. "Transcultural Diabetes Nutrition Algorithm (tDNA): Venezuelan Application" Nutrients 6, no. 4: 1333-1363.

Find Other Styles

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Search more from Scilit
Back to TopTop