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Objective To describe the history, key features, recent enhancements, and common applications of the Dietary Supplement Label Database (DSLD). Background and history Although many Americans use dietary supplements, databases of dietary supplements sold in the United States have not been widely available. The DSLD, an easily accessible public-use database was created in 2008 to provide information on dietary supplement composition for use by researchers and consumers. Rationale Accessing current information easily and quickly is crucial for documenting exposures to dietary supplements because they contain nutrients and other bioactive ingredients that may have beneficial or adverse effects on human health. This manuscript details recent developments with the DSLD to achieve this goal and provides examples of how the DSLD has been used. Recent developments With periodic updates to track changes in product composition and capture new products entering the market, the DSLD currently contains more than 71,000 dietary supplement labels. Following usability testing with consumer and researcher user groups completed in 2016, improvements to the DSLD interface were made. As of 2017, both a desktop and mobile device version are now available. Since its inception in 2008, the use of the DSLD has included research, exposure monitoring, and other purposes by users in the public and private sectors. Future directions Further refinement of the user interface and search features to facilitate ease of use for stakeholders is planned. Conclusions The DSLD can be used to track changes in product composition and capture new products entering the market. With over 71,000 DS labels it is a unique resource that policymakers, researchers, clinicians, and consumers may find valuable for multiple applications.

Launched in 2008, the Dietary Supplement Label Database (DSLD) permits the search of any term that appears anywhere on product labels. Since then, the database's search and download features have been periodically improved to enhance use for researchers and consumers. In this review, we describe how to customize searches and identify products and ingredients of interest to users in the DSLD, and provide the limitations of working with information derived from dietary supplement product labels. This article describes how data derived from information printed on product labels are entered and organized in the DSLD. Among the challenges are determining the chemical forms, types of extract, and amounts of dietary ingredients, especially when these are components of proprietary blends. The FDA announced new dietary supplement labeling regulations in May 2016. The 2017 DSLD has been updated to reflect them. These new regulations and examples cited in this article refer to this redesigned version of the DSLD. Search selection characteristics such as for product type and intended user group are as described in FDA guidance and regulations for dietary supplements. For this reason, some age groups (such as teens and seniors) and marketing recommendations for use (e.g., weight loss, performance, and other disease- or condition-specific claims) are not included in the search selections. The DSLD user interface features will be revised periodically to reflect regulatory and technologic developments to enhance user experience. A comprehensive database derived from analytically verified data on composition would be preferable to label data, but is not feasible for technical, logistic, and financial reasons. Therefore, a database derived from information printed on product labels is the only practical option at present for researchers, clinicians, and consumers interested in the composition of these products.

The Academy of Nutrition and Dietetics recognizes the importance of including dietary supplements in assessing and planning dietary intakes.1 Dietary supplement (DS) use in the United States has increased markedly during the last 30 years and is now widespread across all segments of society.2,3,4,5,6 Today, over half of adults and a third of US children have used one or more DS within the past 30 days, with multi-vitamin, multi-mineral (MVMM) products especially common.7, 8 Since supplements are now major sources of several nutrients such as calcium and vitamin D in American diets, it is important for registered dietitians and nutritionists (RDNs) to include their contributions when assessing intakes or planning diets.9,10,11 Likewise, for national nutrition surveillance the contributions to nutrient intakes from supplements must be considered in order to identify groups at dietary risk because their intakes fall below the estimated average requirement (EAR) or above the upper tolerable intake level (UL).12 For example, when supplements are included in assessments, the proportion of the United States population that is below the EAR is much less for several vitamins11 and fewer women are “at risk” (defined as below the EAR) for folate intake than when they are not.13,14 For some nutrients, like folic acid, the UL is established based solely for the form that comes from fortificants in foods and in dietary supplements. RDNs, epidemiologists, and public health officials also need accurate dietary supplement databases in order to evaluate possible associations between nutrient intake and disease outcomes. The National Health and Nutrition Examination Survey (NHANES) dietary supplement label database contains label-derived information from supplement products that is updated every two years. Information contained in the database is driven by what is reported by survey participants. The currently available database contains supplement label information for products reported from 1999–2010. While the NHANES DS database provides useful information, it is not comprehensive and is more likely to contain commonly used supplements and less likely to contain infrequently used supplements.15 In fact, MVMM products account for only about half of all supplements used.3 Additionally, not all information from the label is recorded and released in the database. For example, the NHANES database does not contain information such as health claims, other ingredients and warning statements that may have been on the label.

Food composition databases are critical to assess and plan dietary intakes. Dietary supplement databases are also needed because dietary supplements make significant contributions to total nutrient intakes. However, no uniform system exists for classifying dietary supplement products and indexing their ingredients in such databases. Differing approaches to classifying these products make it difficult to retrieve or link information effectively. A consistent approach to classifying information within food composition databases led to the development of LanguaL™, a structured vocabulary. LanguaL™ is being adapted as an interface tool for classifying and retrieving product information in dietary supplement databases. This paper outlines proposed changes to the LanguaL™ thesaurus for indexing dietary supplement products and ingredients in databases. The choice of 12 of the original 14 LanguaL™ facets pertinent to dietary supplements, modifications to their scopes, and applications are described. The 12 chosen facets are: Product Type; Source; Part of Source; Physical State, Shape or Form; Ingredients; Preservation Method, Packing Medium, Container or Wrapping; Contact Surface; Consumer Group/Dietary Use/Label Claim; Geographic Places and Regions; and Adjunct Characteristics of food.

This article illustrates the importance of having analytical data on the vitamin and mineral contents of dietary supplements in nutrition studies, and describes efforts to develop an analytically validated dietary supplement ingredient database (DSID) by a consortium of federal agencies in the USA. Preliminary studies of multivitamin mineral supplements marketed in the USA that were analyzed as candidates for the DSID are summarized. Challenges are summarized, possible future directions are outlined, and some related programs at the Office of Dietary Supplements, National Institutes of Health are described. The DSID should be helpful to researchers in assessing relationships between intakes of vitamins and minerals and health outcomes.

Many women use OTC prenatal MVM products to optimize nutrient intake before pregnancy, during pregnancy and lactation. Most prenatal MVM are purchased as prescription products, but the OTC market has increased, especially in the natural health and direct sales channels. Using a statistical sampling plan, 71 DS products were purchased, with 16 from mass market, 45 from natural health and 33 from direct channels. Multiple lots of each product were sent to qualified labs with quality control materials for the analysis of vitamins and minerals. Analytical results were compared to label and evaluated by regression across a range of labeled levels. The predicted mean % differences from label at the most common level ranged from 0 to 40% for chromium. The predicted mean % differences for thiamin, nia...