ARS | Publication request: First release of the Dietary Supplement Ingredient Database: Nutrient estimates and methodology for 18 vitamins and minerals in adult multivitamin/minerals (MVMs)

Submitted to: Federation of American Societies for Experimental Biology Conference
Publication Type: Abstract Only
Publication Acceptance Date: November 5, 2008
Publication Date: April 22, 2009
Citation: Andrews, K., Roseland, J.M., Zhao, C., Feinberg, M., Middleton, A., Holden, J.M., Douglass, L., Dwyer, J., Picciano, M., Fisher, K., Saldanha, L., Yetley, E. 2009. First release of the Dietary Supplement Ingredient Database: nutrient estimates and methodology for 18 vitamins and minerals in adult multivitamin/minerals (MVMs). Federation of American Societies for Experimental Biology Conference, April 18-22, 2009, New Orleans, Louisiana.

Technical Abstract: The Dietary Supplement Ingredient Database (DSID) is a federal initiative to provide analytical validation of ingredients in dietary supplements. The first release on vitamins and minerals in adult MVMs is now available. Multiple lots of >100 representative adult MVMs were chemically analyzed for their nutrient content. Mean percent differences from label were calculated for each nutrient and compared to labeled levels using regression analysis. Prediction equations identified both linear (n=15) and quadratic (n=3) relationships. Standard errors of the mean (SEM), predicted values were calculated and include variation among lots within products, variation among products at each labeled level and residual variation about the regression line. For 11 of the 18 nutrients (iron, niacin, magnesium, zinc, vitamin E, manganese, potassium, copper, phosphorus, vitamin C and vitamin B-12), the predicted mean % difference from label at the most common adult MVM level ranged from 0 to10% above label. For four nutrients (riboflavin, folic acid, calcium and thiamin), the predicted mean % difference was >10 to 20% above label. For the remaining 3 nutrients (vitamin B-6, selenium and iodine), the predicted mean % difference was >20 to 30% above label. These analytically validated results can be used in population studies tracking MVM supplement usage to more accurately quantify nutrient intake. Funding: ARS/USDA & ODS/NIH Y1CN501006