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The following examples illustrate why insight into the quality of the data in a FCDB is important.

In the scheme below you can see that because of errors in food composition databases, the true (but unknown) nutrient intake of a population may differ from the nutrient intake that is observed (calculated) using food composition data.

Go to the next page to study examples of the consequences of errors in FCDB on

(1) epidemiological research results,

(2) individual dietary advice and

(3) public health decisions.