Implementing food-based dietary guidelines for - United Nations ...
Implementing food-based dietary guidelines for - United Nations ...
Implementing food-based dietary guidelines for - United Nations ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Terminology and framework <strong>for</strong> nutrient intake values<br />
both “recommended” and “reference.”<br />
In addition to an average and recommended (or<br />
reference) nutrient intake value, recommendations<br />
include a lower reference intake that defines a value<br />
that is below the requirements of most individuals in<br />
the population, an upper intake value that is the highest<br />
intake unlikely to pose any health risks, a safe intake<br />
value (or range) or adequate intake that is used when<br />
the statistical distribution of requirements is unknown,<br />
and a range of intakes <strong>for</strong> macronutrients (adequate<br />
macronutrient distribution range [AMDR]) associated<br />
with a reduced risk of chronic disease.<br />
Proposed terminology <strong>for</strong> nutrient intake<br />
values (NIVs)<br />
To avoid confusion about the meaning of acronyms<br />
and the use of multiple acronyms <strong>for</strong> the same nutrient<br />
intake standard, we propose that a common set<br />
of terms and definitions be used by all countries and<br />
regions establishing NIVs. We recognize, however,<br />
that the absolute values will probably differ among<br />
the various countries and regions, because differences<br />
in body size, the bioavailability of <strong>food</strong> sources, and<br />
environmental conditions that affect nutrient needs<br />
(e.g., sunshine exposure or altitude) will influence the<br />
statistical distribution of nutrient requirements in a<br />
particular population. Nevertheless, we believe that the<br />
same terms and definitions can be used worldwide. The<br />
following terms are recommended.<br />
Average nutrient requirement (ANR)<br />
The ANR is the average or median requirement estimated<br />
from a statistical distribution of requirements<br />
<strong>for</strong> a specific criterion and <strong>for</strong> a particular age- and<br />
sex-specific group.<br />
Individual nutrient level x (INL x )<br />
The INL x is the recommended nutrient level <strong>for</strong> all<br />
healthy individuals in a specific subpopulation. Often<br />
committees add 2 SD to ANR, which will cover the<br />
needs of most (i.e., 98%) of the population, assuming<br />
that the distribution is symmetrical. In that case, the<br />
INL x would be INL 98 . But one might choose a lower<br />
level in the distribution of requirements <strong>for</strong> the recommended<br />
intake if the current nutrient policies of the<br />
country or region conclude that it is not practical to<br />
achieve an intake equal to the 98th percentile <strong>for</strong> the<br />
entire population. This might be the case, <strong>for</strong> example,<br />
if the additional cost of providing fish rich in omega-3<br />
fatty acids is inconsistent with the <strong>food</strong> supply <strong>for</strong> a<br />
country. Then one might choose to make a recommendation<br />
at a lower level, such as 1.5 SD above the<br />
ANR, or at the 93rd percentile. In that case, the INL 93<br />
S21<br />
would meet the needs of 93% of the population. Thus,<br />
the INL x <strong>for</strong> a specific country or region should be<br />
consistent with the overall nutrition policy.<br />
Upper nutrient level (UNL)<br />
The UNL is the highest level of daily nutrient intake<br />
that is likely to pose no risk of adverse health effects<br />
<strong>for</strong> almost all individuals in a specified life-stage group.<br />
Ideally, it is <strong>based</strong> on an analysis of the statistical distribution<br />
of risk <strong>for</strong> high nutrient intakes. The UNL is<br />
usually set at a level where the risk of excessive intakes<br />
is close to zero. Also, the UNL is a level of intake that<br />
should be avoided on a chronic basis [9].<br />
General framework <strong>for</strong> estimating nutrient<br />
intake values (NIVs)<br />
Starting with the report by the <strong>United</strong> Kingdom recommending<br />
a multiple reference framework <strong>for</strong> quantitative<br />
nutrient standards [10] and the subsequent reports<br />
of the US/Canadian <strong>dietary</strong> reference intakes (DRIs)<br />
[3–7], a new statistical approach was used <strong>for</strong> making<br />
<strong>dietary</strong> recommendations. The general features of this<br />
model were adopted by a number of other countries or<br />
regions, such as the Germanic language nutrition societies<br />
[15], South Korea [13], Southeast Asia [14], and<br />
Australia and New Zealand [16], as well as WHO/FAO<br />
[23]. The framework <strong>for</strong> assessing intakes of population<br />
groups stems from the work of a subcommittee of<br />
the US Food and Nutrition Board [25] that related the<br />
probability of inadequacy to nutrient requirements.<br />
The framework has since been expanded to include<br />
both assessment and planning of nutrient intakes and<br />
can now be applied to both individuals and groups<br />
[17, 26].<br />
Determining the average nutrient requirement<br />
The first step in estimating nutrient requirements is<br />
to determine the average nutrient requirement (ANR)<br />
<strong>for</strong> a defined population from primary research data<br />
(fig. 1). Once the distribution of requirements is<br />
known, the ANR can be estimated. Often the ANR<br />
<strong>for</strong> a population is estimated from experimental data<br />
derived from a subsample of individuals in the defined<br />
group, because in practice, rarely, if ever, are the specific<br />
nutrient requirements known <strong>for</strong> each person in<br />
a group of interest. However, it is usually not possible<br />
to mirror completely the diversity of the group. For<br />
most nutrients, data on individual responses to varying<br />
levels of nutrient intake are scant, resulting in the<br />
need to make many assumptions about the attributes of<br />
the population group from data obtained from a small<br />
subsample that has been studied in depth. With each<br />
assumption, there is potential error and a decrease in