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Journal of Nutrition and Human Health | Volume 3
May 23-24, 2019 | Vienna, Austria
Joint Event
2
nd
International Conference on
Gastroenterology and Digestive Disor
ders
17
th
International Conference on
Nutrition and Fitness
&
Characteristics and challenges in using dietary supplement databases derived from
label information
Leila Saldanha
and
Johanna Dwyer
NutrIQ, USA
I
n the USA, dietary supplements are regulated as foods
and contain vitamins, minerals, botanicals and other
ingredients. Two types of supplement databases exist in
the USA. Databases of small, analytically-derived values
of representative samples of products sold on the market,
and large databases of values declared on product labels
(label-derived). Each has its own unique challenges.
Because chemical analyses of representative national
samples of products are expensive, and methods for
many botanical ingredients are not available, analytically-
derived databases are usually limited to nutrients provided
in popular supplements, such as multivitamin- mineral
supplements, omega 3 fatty acids and calcium-vitamin
D supplements. Databases that use values derived from
product labels, assume these values are valid and reflect
product contents. The Dietary Supplement Label Database
(DSLD) from the National Institutes of Health (NIH) is
free and contains information taken from over 85,000
labels of products marketed in the USA. Information
presented on product labels must conform to US Food
and Drug Administration (FDA)’s labeling regulations. The
2016 regulations revised the Daily Values (DV) and units
for expressing nutrients on product labels, as well as the
definitions for sugar and dietary fiber. The regulations
will not affect how information on botanicals and other
non- nutrients appear on labels. The regulations will
continue to give manufacturers considerable flexibility in
declaring these ingredients. For example, when botanicals
are labeled as propriety blends the level of individual
ingredients within the blend need not be declared. This
presentation will discuss on how the 2016 FDA labeling
regulations will affect product labels and data in label-
derived databases, demonstrate the characteristics
and challenges of working with label-derived data, and
challenges with conducting research using label-derived
data available in the DSLD.
e
:
lgs@nutriq-llc.com