Implications of US Nutrition Facts Label Changes on Micronutrient Density of Fortified Foods and Supplements

Procedure to identify fortified foods in the Dutch branded food database

Introduction

Information on fortified foods is needed for multiple purposes, including food consumption research and dietary advice. Branded food databases are a valuable source of food label data. European labeling legislation prescribes that food fortification should be indicated in the ingredient list, and nutrient values should be declared under certain conditions. This creates the potential to identify fortified foods in branded food databases, though it is not straightforward and labor-intensive. The aim of our study was to develop an automated approach to identify fortified foods in the Dutch branded food database called LEDA.

Methods

An automated procedure, based on a stepwise approach conforming with European labeling legislation, using a list of rules and search terms, was developed to identify fortified foods. Fortification with calcium, folic acid, vitamin B12, and zinc was studied as an example. The results of a random stratified sample with fortified and not-fortified foods were validated by two experts.

Results

The automated approach resulted in identifying 1,817 foods fortified with one or more of the selected nutrients in the LEDA dataset (0.94%). The proportions of fortified foods per nutrient were below 0.7%. The classification of fortified/non-fortified foods matched manual validation by experts for the majority of the foods in the sample, i.e., sensitivity and specificity indicating the probability of correctly identifying fortified and non-fortified foods was high (>94.0%).

Conclusion

The automated approach is capable of easily and quickly identifying fortified foods in the Dutch branded food database with high accuracy, although some improvements to the automated procedure could be made. In addition, the completeness, correctness, and consistency of the LEDA database can be improved. To fully benefit from this automated approach, it needs to be expanded to cover all micronutrients that may be added to foods.

Single and Combined Associations of Plasma and Urine Essential Trace Elements (Zn, Cu, Se, and Mn) with Cardiovascular Risk Factors in a Mediterranean Population

Trace elements are micronutrients that are required in very small quantities through diet but are crucial for the prevention of acute and chronic diseases. Despite the fact that initial studies demonstrated inverse associations between some of the most important essential trace elements (Zn, Cu, Se, and Mn) and cardiovascular disease, several recent studies have reported a direct association with cardiovascular risk factors due to the fact that these elements can act as both antioxidants and pro-oxidants, depending on several factors. This study aims to investigate the association between plasma and urine concentrations of trace elements and cardiovascular risk factors in a general population from the Mediterranean region, including 484 men and women aged 18−80 years and considering trace elements individually and as joint exposure. Zn, Cu, Se, and Mn were determined in plasma and urine using an inductively coupled plasma mass spectrometer (ICP-MS). Single and combined analysis of trace elements with plasma lipid, blood pressure, diabetes, and anthropometric variables was undertaken. Principal component analysis, quantile-based g-computation, and calculation of trace element risk scores (TERS) were used for the combined analyses. Models were adjusted for covariates. In single trace element models, we found statistically significant associations between plasma Se and increased total cholesterol and systolic blood pressure; plasma Cu and increased triglycerides and body mass index; and urine Zn and increased glucose. Moreover, in the joint exposure analysis using quantile g-computation and TERS, the combined plasma levels of Zn, Cu, Se (directly), and Mn (inversely) were strongly associated with hypercholesterolemia (OR: 2.03; 95%CI: 1.37−2.99; p < 0.001 per quartile increase in the g-computation approach). The analysis of urine mixtures revealed a significant relationship with both fasting glucose and diabetes (OR: 1.91; 95%CI: 1.01−3.04; p = 0.046). In conclusion, in this Mediterranean population, the combined effect of higher plasma trace element levels (primarily Se, Cu, and Zn) was directly associated with elevated plasma lipids, whereas the mixture effect in urine was primarily associated with plasma glucose. Both parameters are relevant cardiovascular risk factors, and increased trace element exposures should be considered with caution.

Modeling Possible Outcomes of Updated Daily Values on Nutrient Intakes of the United States Adult Population

The United States (US) Food and Drug Administration has updated the Daily Values (DVs) for the Nutrition Facts Label on packaged foods. We used the National Health and Nutrition Examination Survey 2009-2012 data with the International Life Sciences Institute, North America Fortification Database, which identifies intrinsic, mandatory enriched, and fortified sources of nutrients in foods and beverages, to model the new DVs' potential impact on adult (≥19 years of age) intake. We assumed that manufacturers will adjust voluntary fortification to maintain percent DV claims. We assessed the percent of the US population whose usual intake (UI) was < the Estimated Average Requirement (EAR), and ≥ the Upper Limit (UL) based on the current DVs, and modeled estimated UI and % Collapse

Key Words

• Daily Values (DV)
• Estimated Average Requirement (EAR)
• National Health and Nutrition Examination Survey (NHANES)
• Nutrition Facts Label
• Upper Limit (UL)
• adults
• fortification
• usual intake (UI)

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MESH Headings

• Adult
• Aged
• Diet
• Female
• Food Labeling
• Humans
• Male
• Micronutrients/analysis
• Middle Aged
• Models, Statistical
• Nutrition Surveys
• Nutritional Requirements/physiology
• Nutritional Status/physiology
• United States
• Vitamin A/analysis
• Vitamins/analysis
• Young Adult

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Grants

• funds to the Medical University of South Carolina International Life Sciences Institute North America

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Affiliation(s)

Jill C. Newman Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA;
Michael I. McBurney Human Health & Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada;
Kelly J. Hunt Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA; (K.J.H.); (A.M.M.)
Angela M. Malek Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA; (K.J.H.); (A.M.M.)
Bernadette P. Marriott Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC 29425, USA

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