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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,

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