Implementing food-based dietary guidelines for - United Nations ...
Implementing food-based dietary guidelines for - United Nations ...
Implementing food-based dietary guidelines for - United Nations ...
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S24<br />
with the overall nutrient policy.<br />
As an estimate of the between-individual variation,<br />
the standard deviation of the ANR (SD ANR ) is<br />
important in developing an INL. If the variation in<br />
requirements is small, then an INL that is set at 1.5, 2,<br />
or 2.5 SD ANR above the ANR will be relatively close to<br />
the ANR; if the variation is broader, then the INL will<br />
be larger. This demonstrates that the distribution of<br />
requirements is an important determinant of the INL.<br />
Two other NIVs, in addition to the INL x , may also be<br />
derived. A ”deficient” or lower nutrient intake level may<br />
be established at some point below the ANR (e.g., 2 SD<br />
below) to serve as an estimated intake that is probably<br />
below the needs of practically all individuals. Since the<br />
ANR is usually used to estimate the proportion of the<br />
population with inadequate intakes by determining<br />
the percentage below the ANR [2, 17], a lower nutrient<br />
intake level has limited use.<br />
If in<strong>for</strong>mation is available on the level of intake of<br />
a specific nutrient that carries health risks, an upper<br />
nutrient intake level (UNL) may also be established.<br />
The UNL is usually set where the risk of excessive<br />
intakes is very low, close to zero. The UNL is a level of<br />
intake that should be avoided on a chronic basis [9].<br />
There is no established benefit to consuming nutrient<br />
intakes above the INL set at 2 or 2.5 SD ANR .<br />
Estimating energy requirements<br />
Energy recommendations are set at levels that represent<br />
the average needs of individuals in the population. In<br />
determining energy standards, factors such as age, sex,<br />
and level of physical activity should be considered.<br />
Energy standards may be expressed as equations that<br />
permit the calculation of energy intake requirements<br />
<strong>based</strong> on these factors.<br />
It would not be appropriate to set an energy INL x as<br />
was done <strong>for</strong> the other nutrients, because adding an<br />
increment (e.g., 2 SD) to the average energy requirement<br />
would result in an intake goal that would lead to<br />
weight gain. If the energy intake is consistently above<br />
or below the average requirement <strong>for</strong> a long enough<br />
period of time, changes in body weight will occur<br />
and may adversely affect health. As a consequence,<br />
recommendations <strong>for</strong> energy are expressed in terms<br />
of energy expenditure rather than energy intake in<br />
order to prevent under- or overconsumption. Since<br />
nutrient standards are set <strong>for</strong> healthy individuals, it is<br />
assumed that body energy stores are appropriate and<br />
that the average requirement should be used as the<br />
standard <strong>for</strong> the entire population. Because energy<br />
intake and expenditure are not independent, it is not<br />
possible to determine the probability that energy intake<br />
is adequate.<br />
Acceptable macronutrient distribution<br />
ranges<br />
J. C. King et al.<br />
Recently, several countries or regions have established<br />
acceptable ranges <strong>for</strong> the percentage of energy coming<br />
from carbohydrate, protein, and fat in the diet, which<br />
are thought to reduce the risk of long-term or chronic<br />
disease while providing an adequate intake of essential<br />
nutrients. The term used to describe these recommendations<br />
is acceptable macronutrient distribution range<br />
(AMDR). The AMDR is expressed as a percentage of<br />
total energy intake, because the range is not independent<br />
of other fuel sources or of the energy requirement<br />
of the individual. As mentioned earlier, definitions used<br />
<strong>for</strong> macronutrient intakes as a percentage of energy<br />
vary. The AMDRs established by the <strong>United</strong> States and<br />
Canada refer to appropriate ranges of usual intakes of<br />
individuals, whereas the WHO standards are population<br />
mean intake goals [6, 22]. Thus, the WHO mean<br />
intake goal of 15% to 30% of the energy as fat implies<br />
that it is acceptable <strong>for</strong> half of the individuals in a<br />
population to have intakes below 15%.<br />
Although a range of protein intakes as a percentage<br />
of energy has been established, since protein is one of<br />
the fuel sources of the diet, there is also a specific minimum<br />
need <strong>for</strong> nitrogen and amino acids that serves as<br />
the basis <strong>for</strong> the protein ANR and INLx. Those values<br />
are usually presented as grams or milligrams per day.<br />
Since the need <strong>for</strong> nitrogen or amino acids is likely<br />
to be independent of intake, the theoretical statistical<br />
model can be used to estimate the probability of<br />
inadequacy <strong>for</strong> an individual and the prevalence of<br />
inadequate intakes in a population. When protein NIVs<br />
are derived, the committees need to ensure that those<br />
NIVs can be acquired within the range of acceptable<br />
protein intakes.<br />
General features of the statistical model <strong>for</strong><br />
estimating nutrient requirements<br />
There are two important caveats associated with this<br />
model <strong>for</strong> estimating nutrient intake values [31].<br />
First, the estimates of requirements pertain to the<br />
maintenance of health in already healthy individuals.<br />
Such estimates may or may not pertain to individuals<br />
with disease, and they certainly are inappropriate<br />
<strong>for</strong> individuals recovering from nutrient deficiencies.<br />
Second, nutrient intake refers to the usual intake of an<br />
individual or group, i.e., the average intake <strong>for</strong> weeks<br />
or months, not days.<br />
The primary advantage of this general framework<br />
is its simplicity. Only the midpoint of the requirement<br />
distribution (the ANR) needs to be determined from<br />
primary scientific data. Ideally, one would also like<br />
in<strong>for</strong>mation regarding the variance in the requirement<br />
in a large, representative population. However,