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• W2072534163 abstract "Letters to the Editor Are WelcomeLetters to the Editor may be submitted at http://ees.elsevier.com/andjrnl for consideration regarding manuscripts published within the past 6 months. Letters should be no more than 500 words, can contain up to 20 references, and should include a funding disclosure, conflict of interest disclosure, and copyright/authorship form. All letters will be subjected to editorial review and decision before acceptance. Letters to the Editor may be submitted at http://ees.elsevier.com/andjrnl for consideration regarding manuscripts published within the past 6 months. Letters should be no more than 500 words, can contain up to 20 references, and should include a funding disclosure, conflict of interest disclosure, and copyright/authorship form. All letters will be subjected to editorial review and decision before acceptance. We commend Arsenault and colleagues1Arsenault J.E. Fulgoni V.L. Hersey J.C. Muth M.K. A novel approach to selecting and weighting nutrients for nutrient profiling of foods and diets.J Acad Nutr Diet. 2012; 112: 1968-1975Abstract Full Text Full Text PDF PubMed Scopus (37) Google Scholar for work on a nutrient profiling algorithm that incorporates weighting coefficients for nutrients, accounts for the beneficial health effects of unsaturated fats, and correlates with the nutritional quality of both foods and diets. We are, however, surprised by use of words such as “novel” and “unique” to characterize these efforts, including in the article title. As the authors themselves acknowledge, the Overall Nutritional Quality Index (ONQI)2Katz D.L. Njike V.N. Faridi Z. et al.The stratification of foods on the basis of overall nutritional quality: The Overall Nutritional Quality Index (ONQI).Am J Health Promot. 2009; 24: 133-143Crossref PubMed Scopus (57) Google Scholar used in the NuVal nutritional guidance system3NuVal LLCThe NuVal Nutritional Scoring System.http://www.nuval.comGoogle Scholar includes weighting coefficients for all nutrients,4Katz D.L. Njike V.Y. Rhee L.Q. Reingold A. Ayoob K.T. Performance characteristics of NuVal and the Overall Nutritional Quality Index (ONQI).Am J Clin Nutr. 2010; 91: 1102S-1108SCrossref PubMed Scopus (86) Google Scholar accounts for the beneficial health effects of unsaturated fats, and has been shown to correlate with the nutritional quality of both foods and diets.3NuVal LLCThe NuVal Nutritional Scoring System.http://www.nuval.comGoogle Scholar The authors' use of “novel” in the title may refer preferentially to their means rather than ends, notably the use of regression analysis to derive nutrient weights based on the Healthy Eating Index (HEI).5Center for Nutrition Policy and PromotionHealthy Eating Index.http://www.cnpp.usda.gov/healthyeatingindex.htmGoogle Scholar They indicate this is an advance relative to deriving weights from a review of the epidemiologic literature, as was done with the ONQI. They further suggest that the “weighted nutrient density score” represents an advance because it accounts for 65% of the variance in HEI scores, which “is more than other previous nutrient scoring algorithms.” There are two fundamental flaws with this assertion. First, while regression analysis was used to base the weighted nutrient density score on the HEI, the HEI, in turn, is based on the dietary guidelines,5Center for Nutrition Policy and PromotionHealthy Eating Index.http://www.cnpp.usda.gov/healthyeatingindex.htmGoogle Scholar which are in turn based on a review of the nutrition and epidemiologic literature every 5 years.6US Department of Health and Human Services, US Department of AgricultureDietary Guidelines for Americans.http://www.health.gov/DietaryGuidelines/Google Scholar The weighted nutrient density score is, thus, ultimately dependent on observational epidemiology and literature review for its weighting coefficients, with regression analysis representing only the most proximal step in a sequence of contingencies. Second, the authors imply advantages of their algorithm because of its relative concordance to the HEI, but the HEI itself has limited power to predict the health outcomes that truly matter, and other metrics do so better.7McCullough M.L. Willett W.C. Evaluating adherence to recommended diets in adults: the Alternate Healthy Eating Index.Public Health Nutr. 2006; 9: 152-157Crossref PubMed Scopus (170) Google Scholar Given the authors' obvious familiarity with the ONQI, the omission of a study by Chiuve and colleagues8Chiuve S.E. Sampson L. Willett W.C. The association between a nutritional quality index and risk of chronic disease.Am J Prev Med. 2011; 40: 505-513Abstract Full Text Full Text PDF PubMed Scopus (111) Google Scholar from their bibliography is surprising, indicating selective reference to relevant literature. In that study, NuVal scores were aggregated to account for total diet quality, and were shown to correlate directly with rates of chronic disease and all-cause mortality in a population of roughly 100,000 followed for 20 years, and did so somewhat more strongly than the HEI. To our knowledge, NuVal is to date the only nutrient profiling system shown to correlate with health outcomes. A higher degree of correlation with the HEI, a surrogate measure that itself corresponds only modestly to the true outcomes of interest, is not, as implied, an advance relative to a direct correlation with those outcomes. A Novel Approach to Selecting and Weighting Nutrients for Nutrient Profiling of Foods and DietsJournal of the Academy of Nutrition and DieteticsVol. 112Issue 12PreviewNutrient profiling of foods is the science of ranking or classifying foods based on their nutrient composition. Most profiling systems use similar weighting factors across nutrients due to lack of scientific evidence to assign levels of importance to nutrients. Full-Text PDF Authors' ResponseJournal of the Academy of Nutrition and DieteticsVol. 113Issue 5PreviewWe thank Dr Katz and colleagues for their interest in our article.1 We appreciate their enthusiasm for their proprietary food scoring system, NuVal, and we acknowledge the strong correlation of their algorithm scores with health outcomes in the study by Chiuve and colleagues.2 Our intention was not to imply that our algorithm is better than NuVal's algorithm, the Overall Nutritional Quality Index, which correlates well with health outcomes in part because the weighting factors were developed based on expert opinion and interpretation of the literature regarding correlation of nutrients with health; however, the weighting factors are not published. Full-Text PDF" @default.
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• W2072534163 title "Questions Regarding Nutrient Profiling System" @default.
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