Risk assessment has been used to prevent health problems associated with eating habits in response to increased interest in a balanced diet. For nutritional risk assessment (NRA), it is important to 1) consider personal nutrition status based on year-round dietary intake, 2) organize core datasets such as food composition, intake, and health based guidance value (HBGV) datasets with public confidence, and 3) assess and predict the effects by using the computerized NRA tool. Our research staff constructed an integrated database system by compiling and organizing core datasets produced sporadically by different organizations and with different formats and developed a nutritional exposure and risk assessment system called Nutri-Risk (NUTRItional RISK assessment platform), which contained the database. Nutri-Risk is not only capable of NRA, but also contains additional data service functions. Here, the compilations and organization of an integrated database are outlined. In addition, the overall architectures of Nutri-Risk and dietary modeling are described and predictive simulation functions to support the regulatory decisions related to nutritional fortification or reduction policy were demonstrated.
Keywords: Dietary modeling; Integrated database; Nutritional fortification and reduction; Nutritional risk assessment; Simulation.
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