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Dive into the complexities of researching whole grain intake, including database limitations and potential misclassifications, highlighting the need for a comprehensive and publicly available database to enhance accuracy.
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Research on Intake of Grain-Based Foods Alison L. Eldridge, Ph.D., R.D.
National Surveys • Nutrient data files contain information about macronutrient composition and components that can be measured analytically • Total carbohydrate • Soluble and insoluble fiber • Total fiber • USDA’s Food Pyramid Servings database estimates servings consistent with the Food Guide Pyramid • Whole grain servings • Refined grain servings
Databases for Research • No publicly available database on whole grain content of foods • Researchers construct their own databases of whole grain content • Generally categorize foods as High, Medium and Low in whole grain • Inconsistent assumptions about whole grain content across databases • Issues with whole grain intake estimates from FFQs • Limited number of whole grain foods • Possibility for misclassification of whole grain intake • Brown bread = whole grain • Estimates of whole grain intake are not very specific
Research Needs • Need a comprehensive, publicly available database of whole grain content of foods • Estimate g whole grain/100 g product • Estimate g refined grain/100 g product • Separate bran