Title of article :
Identification of diet-disease relations through dietary pattern approach: A review
Author/Authors :
Esmaillzadeh, Ahmad Isfahan University of Medical Sciences , Entezari, Mohammad hasan Isfahan University of Medical Sciences , Paknahad, Zamzam Isfahan University of Medical Sciences , Safavi, Morteza Isfahan University of Medical Sciences , Jalali, Mohammad Isfahan University of Medical Sciences , Ghiasvand, Reza Isfahan University of Medical Sciences , Bahreini, Nimah Isfahan University of Medical Sciences , Nourian, Mojgan Isfahan University of Medical Sciences , Azadbakht, Leila Isfahan University of Medical Sciences
Pages :
12
From page :
337
To page :
348
Abstract :
Recently, diet-disease relations have been recommended to be looked for through dietary pattern approach rather than traditional approach (nutrient or food-oriented approach). Dietary pattern analysis allows consideration of the entire diet, rather than individual foods or ingredients. This approach can be particularly useful when traditional analyses in nutritional epidemiology cannot move beyond weak associations. The dietary pattern approach is more realistic than the food-based or nutrient approach, in that inter-correlations and biological interactions between foods and nutrients confound the associations of a single food or nutrient with a certain chronic disease. Several studies provide evidence supporting use of the dietary pattern approach in nutritional epidemiology. Most of these studies indicate that empirically derived food intake patterns by statistical methods are related to chronic diseases. This review aims to provide more detailed information about the methods of measurement, advantages and disadvantages of the dietary pattern approach and to assess whether major dietary patterns are related to the prevalence of metabolic syndrome and insulin resistance.
Keywords :
Dietary patterns , factor analysis , cluster analysis , diet , dietary assessment
Journal title :
Astroparticle Physics
Serial Year :
2008
Record number :
2474954
Link To Document :
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