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Design Issues in Personalized Nutrition Advice Systems.

Iris M de Hoogh1,2, Machiel J Reinders3, Esmée L Doets4

  • 1Research Group Microbiology & Systems Biology, Netherlands Organization for Applied Scientific Research, Leiden, Netherlands.

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|March 29, 2023
PubMed
Summary

Personalized nutrition advice can improve public health. Digitalizing this process overcomes labor intensity, making tailored dietary guidance accessible and feasible through practical applications.

Keywords:
actbehavior change supportdietary adviceeHealth designhealth measurementsknowledge rulesmodelingpersonalized nutritionreasonsense

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Area of Science:

  • Nutrition Science
  • Digital Health
  • Behavioral Science

Background:

  • A healthy diet is crucial for public health, with personalized approaches showing promise for dietary behavior change.
  • Delivering personalized nutrition advice is labor-intensive, highlighting the need for digital solutions.
  • Existing digital advice systems vary in complexity, but often lack scientific rigor.

Purpose of the Study:

  • To explore the design considerations for digitalized personalized nutrition advice systems.
  • To address key questions in developing such systems, including input parameters, modeling, and delivery methods.
  • To demonstrate the feasibility of a digital infrastructure for personalized dietary advice.

Main Methods:

  • This viewpoint paper addresses the 'sense, reason, act' framework for personalized nutrition systems.
  • It discusses required input parameters, measurement methods, modeling techniques, and advice delivery modalities.
  • Feasibility is demonstrated through insights from two real-life practical applications.

Main Results:

  • Digitalization offers a scalable solution to the labor-intensive nature of personalized nutrition advice.
  • A structured approach considering input (sense), processing (reason), and output (act) is essential for effective systems.
  • Practical applications confirm the feasibility of implementing digital infrastructure for personalized dietary guidance.

Conclusions:

  • Digitalized personalized nutrition advice systems are feasible and can overcome previous limitations.
  • Careful consideration of data input, modeling, and delivery is key to successful implementation.
  • This approach has the potential to significantly benefit public health through improved dietary habits.