The transcultural diabetes nutrition algorithm: A Canadian perspective

Réjeanne Gougeon, John L. Sievenpiper, David Jenkins, Jean François Yale, Rhonda Bell, Jean Pierre Després, Thomas P.P. Ransom, Kathryn Camelon, John Dupre, Cyril Kendall, Refaat A. Hegazi, Albert Marchetti, Osama Hamdy, Jeffrey I. Mechanick

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The Transcultural Diabetes Nutrition Algorithm (tDNA) is a clinical tool designed to facilitate implementation of therapeutic lifestyle recommendations for people with or at risk for type 2 diabetes. Cultural adaptation of evidence-based clinical practice guidelines (CPG) recommendations is essential to address varied patient populations within and among diverse regions worldwide. The Canadian version of tDNA supports and targets behavioural changes to improve nutritional quality and to promote regular daily physical activity consistent with Canadian Diabetes Association CPG, as well as channelling the concomitant management of obesity, hypertension, dyslipidemia, and dysglycaemia in primary care. Assessing glycaemic index (GI) (the ranking of foods by effects on postprandial blood glucose levels) and glycaemic load (GL) (the product of mean GI and the total carbohydrate content of a meal) will be a central part of the Canadian tDNA and complement nutrition therapy by facilitating glycaemic control using specific food selections. This component can also enhance other metabolic interventions, such as reducing the need for antihyperglycaemic medication and improving the effectiveness of weight loss programs. This tDNA strategy will be adapted to the cultural specificities of the Canadian population and incorporated into the tDNA validation methodology.

Original languageEnglish
Article number151068
JournalInternational Journal of Endocrinology
Volume2014
DOIs
StatePublished - 2014

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