alexa Transcultural Diabetes Nutrition Algorithm: The Mexican Application
ISSN: 2155-6156

Journal of Diabetes & Metabolism
Open Access

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Review Article

Transcultural Diabetes Nutrition Algorithm: The Mexican Application

Alexis Bolio Galvis1*, Osama Hamdy2, Miguel Escalante Pulido3, Victoria Alejandra Rajme Haje4, Hugo Antonio Laviada Molina5, Mario Eduardo Martínez Sánchez6, David González Bárcena7, Teresita Huici y de Yta8, Albert Marchetti9, Refaat A Hegazi10 and Jeffrey I Mechanick11

1La Salle University School of Medicine, CEO AIS Asesoría e Investigación en Salud A.C., Mexico City, Mexico

2Joslin Diabetes Center, Harvard University, Boston, USA

3Occident Medical Center, Guadalajara, Jalisco, Mexico

4Medica Sur Hospital, Carlos Slim Institute, Mexico City, Mexico

5Health sciences School, Marista University, Merida Yucatan, Mexico

6Instituto Coubertin A.C., Oaxaca, Oaxaca, Mexico

7Angeles Metropolitano Hospital, Mexico City, Mexico

8Abbott Laboratories, Mexico City, 04980, Mexico

9Department of Preventive Medicine and Community Health, University of Medicine and Dentistry of New Jersey, Newark, NJ, USA

10Abbott Nutrition Research & Development, Columbus, OH, USA

11Division of Endocrinology, Diabetes, and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA

*Corresponding Author:
Alexis Bolio Galvis
Av. México 700 Int. Po14
Col. San Jerónimo Lídice
Del. Magdalena Contreras
CP 10200, Mexico DF
Tel: +(5255)51354877
E-mail: [email protected]

Received date: May 12, 2014; Accepted date: August 25, 2014; Published date: August 30, 2014

Citation: Galvis AB, Hamdy O, Pulido ME, Haje VAR, Molina HAL, et al. (2014) Transcultural Diabetes Nutrition Algorithm: The Mexican Application. J Diabetes Metab 5:423. doi: 10.4172/2155-6156.1000423

Copyright: © 2014 Galvis AB, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


In Mexico, Type 2 Diabetes (T2D), dyslipidemia, hypertension, and associated Cardiovascular Disease (CVD) have replaced infectious diseases as primary causes of morbidity and mortality. In less than four decades, T2D has become the foremost health problem of this middle income nation, affecting nearly one sixth of the adult population, more than 10 million people. Dyslipidemia is also problematic and widespread, with a national prevalence among the worlds highest. Contributing to these troubles, are alarming rates of weight disorders. Mexico now has one of the most overweight and obese populations in the world, where 66% of men and 72% of women over age 20 are overweight or obese. Additionally, Mexico has emerged as the country with the highest percentage of overweight and obese youth -26% of young children and 32% of teens. Among city children with weight disorders, hypertension has become more frequent, adding to the already high prevalence of hypertension in the country and contributing yet another dimension to an already complex problem with enormously detrimental clinical and economic consequences. These problems can be mitigated through lifestyle modifications that are vital components of comprehensive care for metabolic disorders and mandated in Clinical Practice Guidelines (CPG) for T2D. Unfortunately, CPG can be complicated and often lack portability. Simplification and transculturalization can enhance applicability and implementation. The transcultural Diabetes Nutrition Algorithm (tDNA) programmatically addresses these needs and concerns through an evidence-based patient-algorithm template that is amenable to cultural adaptation. Food choices, dietary practices, physical activities, and healthcare practices in Mexico were considered for the Mexican adaptation. The resultant algorithm and its underlying recommendations are herein presented and explained.


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