SEARCHNARRATIVE_REVIEWnutrition, dietetics

narrative_review·nutrition, dietetics, clinical nutrition, public health, research methods·PMC10509404

Perspective: A Conceptual Framework for Adaptive Personalized Nutrition Advice Systems (APNASs)

Advances in Nutrition · 15 authors, 8 centres

AI SUMMARY

FIDELITY 100%

This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.

AGENT 01 · STRUCTURED SUMMARY

TRACE TO SOURCE

“

TL;DR

This perspective paper proposes a novel conceptual framework called Adaptive Personalized Nutrition Advice Systems (APNASs) to extend current personalized nutrition approaches. It argues that such systems should adapt advice to individual needs, capacities, and real-time food environments to improve efficacy and equity.

Full summary

737 CHARS

The authors present a narrative perspective arguing that current personalized nutrition (PN) approaches, which often use genetic or other individual information, have shown only small to negligible effects on efficacy and effectiveness and may exacerbate health inequalities. They propose a new framework for Adaptive Personalized Nutrition Advice Systems (APNASs). The framework broadens PN goals beyond biomedical targets to include individual preferences, such as sustainable food choices. It emphasizes 'just-in-time' advice delivered in real-life environments via digital ecosystems, accounting for individual capacities and constraints. Finally, it calls for a participatory dialog between individuals and experts for goal-setting.

STUDY TYPE

narrative_review

SPECIALTY

nutrition

SUMMARISED BY

AI pipeline

FIDELITY CHECK

100% · A

ORIGINAL PAPER

PMC10509404

Perspective: A Conceptual Framework for Adaptive Personalized Nutrition Advice Systems (APNASs)

Advances in Nutrition

READ THE FULL PAPER

ABSTRACT

Nearly all approaches to personalized nutrition (PN) use information such as the gene variants of individuals to deliver advice that is more beneficial than a generic “1-size-fits-all” recommendation. Despite great enthusiasm and the increased availability of commercial services, thus far, scientific studies have only revealed small to negligible effects on the efficacy and effectiveness of personalized dietary recommendations, even when using genetic or other individual information. In addition, from a public health perspective, scholars are critical of PN because it primarily targets socially privileged groups rather than the general population, thereby potentially widening health inequality. Therefore, in this perspective, we propose to extend current PN approaches by creating adaptive personalized nutrition advice systems (APNASs) that are tailored to the type and timing of personalized advice for individual needs, capacities, and receptivity in real-life food environments. These systems encompass a broadening of current PN goals (i.e., what should be achieved) to incorporate “individual goal preferences” beyond currently advocated biomedical targets (e.g., making sustainable food choices). Moreover, they cover the “personalization processes of behavior change” by providing in situ, “just-in-time” information in real-life environments (how and when to change), which accounts for individual capacities and constraints (e.g., economic resources). Finally, they are concerned with a “participatory dialog between individuals and experts” (e.g., actual or virtual dieticians, nutritionists, and advisors) when setting goals and deriving measures of adaption. Within this framework, emerging digital nutrition ecosystems enable continuous, real-time monitoring, advice, and support in food environments from exposure to consumption. We present this vision of a novel PN framework along with scenarios and arguments that describe its potential to efficiently address individual and population needs and target groups that would benefit most from its implementation.

CITATION EXPORT

Britta Renner, Anette E. Buyken, Kurt Gedrich et al.. Perspective: A Conceptual Framework for Adaptive Personalized Nutrition Advice Systems (APNASs). Advances in Nutrition. (2023). https://doi.org/10.1016/j.advnut.2023.06.009

AUTHORS

15 · 8 CENTRES

Britta Renner, Anette E. Buyken, Kurt Gedrich, Stefan Lorkowski, Bernhard Watzl, Jakob Linseisen, Hannelore Daniel, Johanna Conrad, Paola G. Ferrario, Christina Holzapfel, Michael Leitzmann, Margrit Richter, Marie-Christine Simon, Christian Sina, Jan Wirsam

1Department of Psychology and Centre for the Advanced Study of Collective Behavior, Psychological Assessment and Health Psychology, University of Konstanz, Konstanz, Germany
2Public Health Nutrition, Paderborn University, Paderborn, Germany
3ZIEL–Institute for Food and Health, Technical University of Munich, Freising, Germany
4Institute of Nutritional Sciences Friedrich Schiller University Jena, Jena, Germany, and Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Germany
5Ex. Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
6University Hospital Augsburg, University of Augsburg, Augsburg, Germany
7Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
8Ex. School of Life Sciences, Technical University of Munich, Freising, Germany