4.6 Article

Dietary supplement databases: Public health tools

Journal

JOURNAL OF FOOD COMPOSITION AND ANALYSIS
Volume 105, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jfca.2021.104244

Keywords

Dietary supplements; Dietary supplement databases; Software; Technology

Funding

  1. Office of Dietary Supplements, National Institutes of Health, US Department of Health and Human Services, Bethesda MD

Ask authors/readers for more resources

Dietary supplements contain bioactive constituents significant to health, but pose challenges to database developers due to poorly characterized ingredient data and lack of standardization. Lack of controlled vocabularies for supplements and nutrient analysis software programs hinder interoperability. Federal government involvement can help improve database quality and enhance interoperability.
Dietary supplements (DS) are widely used and contain many bioactive constituents that are significant to health. Databases of DS ingredients are needed to identify contents, document the prevalence of nutrient inadequacy and excess, evaluate interventions involving DS, and assess the contributions of DS product formulations to health. However, DS constituents pose unique challenges to database developers. Ingredient data are poorly characterized, making data entry difficult. Definitions and names of non-nutrient ingredients and chemical analyses of contents are unstandardized. Coding lacks uniformity and ingredients amounts are undisclosed in proprietary blends. DS database software challenges include lack of suitable controlled vocabularies for DS and nutrient analysis software programs and epidemiological questionnaires containing heterogeneous descriptions of similar constituents, leading to disparate results for similar intakes. Computer technology challenges include the lack of 'crosstalk' between DS, food, and drug databases. Antiquated software, data architecture and hardware hinder interoperability. Federal government involvement can help to develop DS databases for public use, establish appropriate standards for compiling databases, develop uniform, common definitions for similar ingredients in DS, food, and drug databases, and maximize interoperability between them. Robust, modernized DS databases can be achieved by funding and applying advances in software, data science, and database technology.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available