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What is Adequate Intake Based On?

4 min read

According to the National Institutes of Health, an Adequate Intake (AI) is set for a nutrient when there is not enough scientific evidence to determine a Recommended Dietary Allowance (RDA). This value is based on experimentally determined or observed intakes that appear to be sufficient to maintain a defined nutritional state in healthy people.

Quick Summary

Adequate Intake (AI) is a nutritional value for a specific nutrient derived from observing or estimating average intake levels in healthy populations. It is used when a Recommended Dietary Allowance (RDA) cannot be established due to limited scientific data.

Key Points

  • Scientific Evidence: AI is established when insufficient scientific evidence exists to set a Recommended Dietary Allowance (RDA).

  • Observational Data: It is based on observed or experimentally determined average nutrient intakes of healthy populations.

  • Infant Benchmark: The AI for young infants is derived from the mean nutrient content of human breast milk.

  • Individual Goal: The AI serves as a target goal for nutrient intake for individuals to ensure presumed nutritional adequacy.

  • Group Assessment Limitation: It cannot be used to determine the prevalence of inadequacy in a population if the mean intake falls below the AI.

In This Article

Adequate Intake (AI) is a key component of the Dietary Reference Intakes (DRIs), a system of nutrient reference values established by the Food and Nutrition Board of the National Academies of Sciences, Engineering, and Medicine. Unlike the Recommended Dietary Allowance (RDA), which is based on an Estimated Average Requirement (EAR), the AI is used when there is not enough data to confidently set an EAR. Its primary purpose is to provide a nutritional target for individuals to help prevent deficiency when more definitive information is unavailable.

The Core Basis of Adequate Intake

Adequate Intake is not derived from a statistical calculation but rather from observational or experimental data that approximates the intake of a healthy population. The specific methods used to derive an AI can vary significantly depending on the nutrient and the available research. The foundation is an estimate of average intake levels by a group of people who are assumed to be maintaining a healthy nutritional state. This assumption provides a useful benchmark, though it is considered with a greater degree of uncertainty than an RDA.

Derivation Methods for AI

  • Observation of Healthy Populations: This is a common method, where the average or median intake of a nutrient is measured in a healthy population or subgroup and then adopted as the AI. For instance, the AI for pantothenic acid is based on the estimated mean intakes of healthy individuals.
  • Experimental Approximations: In some cases, controlled experimental studies are used to determine the lowest intake level at which a specific criterion of adequacy is met. This level is sometimes used as the AI, even though it's different from the group's mean intake. For example, the AI for choline was based on a single experiment in adult men.
  • Nutrient-Specific Benchmarks: AIs can also be set based on specific biological indicators related to health outcomes. For example, the AI for calcium for adults is an approximation of the intake needed to maintain desirable calcium retention, based on balance studies and information on bone mineral density. The AI for Vitamin D was set based on the level needed to maintain a serum level above which deficiency diseases are avoided.
  • Human Milk Analysis: For infants, the AI is based on the average daily nutrient intake from human milk consumed by healthy, exclusively breastfed infants. This is considered the benchmark for nutrient adequacy in this age group.

Comparison Table: AI vs. RDA

Feature Adequate Intake (AI) Recommended Dietary Allowance (RDA)
Scientific Evidence Based on experimentally derived approximations or observations; less certainty. Based on an Estimated Average Requirement (EAR), with stronger scientific evidence.
Method of Derivation Observational data from healthy groups or experimental approximations. Calculated mathematically from the EAR to cover 97–98% of the population.
Individual Usage Goal for individual intake; presumed adequate but with unknown certainty. Goal for individual intake; ensures low probability of inadequacy.
Group Assessment Not suitable for assessing the prevalence of inadequacy in a population if the mean intake is below the AI. EAR is used to assess group inadequacy, not RDA.
Certainty High level of judgment involved due to insufficient data. Greater certainty due to a stronger evidence base.

Key Considerations and Limitations of Adequate Intake

While AIs are valuable tools for dietary planning when RDAs are not available, it is important to understand their limitations.

  • Unquantifiable Risk of Inadequacy: Because the AI is an approximation, a population's average intake falling below the AI does not indicate the percentage of individuals who are inadequate. The degree of risk is simply not known.
  • Uncertain Relationship to Requirement: The AI's relationship to the actual average requirement of the population is unknown, unlike the RDA, which is set with a known margin of safety over the average requirement.
  • Not a Maximum Intake Level: An AI is not an upper limit. It is possible for some individuals to have adverse effects from excessive intake, even if the nutrient does not have an established Tolerable Upper Intake Level (UL).

Conclusion

In conclusion, adequate intake is a nutritional reference value established by observing and estimating the intake of nutrients by healthy populations. It serves as a practical, evidence-based target for individuals when insufficient data exists to calculate a more precise Recommended Dietary Allowance. While it provides a reliable benchmark for promoting health and preventing nutrient deficiencies in individuals, its limitations mean it should be used cautiously, especially when assessing the nutritional adequacy of entire populations. Understanding what is adequate intake based on helps consumers and health professionals interpret nutritional guidelines and make informed dietary choices. For more information, consult reliable sources like the National Academies Press for details on Dietary Reference Intakes.

Frequently Asked Questions

The main difference is the level of scientific evidence. AI is based on less definitive data, often from observed intakes of healthy populations, while RDA is calculated from a statistically rigorous Estimated Average Requirement (EAR).

No. Due to its derivation based on observation rather than known requirements, if a group's average intake is below the AI, it is not possible to quantify the extent of inadequacy.

AI is set when the data is insufficient to establish an EAR and subsequent RDA, which is common for newer nutrients or those where requirements are harder to study. RDAs are set for nutrients with sufficient data.

An intake at or above the AI is assumed to be adequate for most healthy people. However, unlike the RDA, the exact percentage of individuals covered by the AI is unknown due to the limited data used to establish it.

For infants, the AI is based on the average daily nutrient intake from human milk consumed by healthy, exclusively breastfed infants.

There is no established benefit for healthy individuals from consuming nutrients in amounts that exceed the AI. Exceeding the Tolerable Upper Intake Level (UL) can even be harmful.

Examples include Vitamin K, biotin, and manganese, which have AIs established due to insufficient data for an Estimated Average Requirement.

References

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Medical Disclaimer

This content is for informational purposes only and should not replace professional medical advice.