Agostoni, C.; Boccia, S.; Graffigna, G.; Joanne, S.; Szajewska, H. The Evidence Behind Dietary Guidelines: Evolution, Consumers’ Trust and Perceptions. Preprints2023, 2023110663. https://doi.org/10.20944/preprints202311.0663.v1
APA Style
Agostoni, C., Boccia, S., Graffigna, G., Joanne, S., & Szajewska, H. (2023). The Evidence Behind Dietary Guidelines: Evolution, Consumers’ Trust and Perceptions. Preprints. https://doi.org/10.20944/preprints202311.0663.v1
Chicago/Turabian Style
Agostoni, C., Slavin Joanne and Hania Szajewska. 2023 "The Evidence Behind Dietary Guidelines: Evolution, Consumers’ Trust and Perceptions" Preprints. https://doi.org/10.20944/preprints202311.0663.v1
Abstract
Dietary guidance to recommend food patterns to deliver nutrients has been well accepted for the past century. Foods to deliver essential nutrients and energy are needed across the life cycle and are dependent upon local industries and accepted cultural practices to deliver essential nutrients to prevent nutrient deficiency diseases. Since the 1980s, dietary guidelines to prevent chronic diseases have relied on epidemiological research to predict what dietary patterns are linked to reduced risk of chronic disease or links to health outcomes. Dietary guidelines have been broad, typically recommending avoiding “too much sugar”, “too much saturated fat”, and “too much sodium”. Efforts to fine tune these recommendations have met with limited scientific data to support more specific recommendations across the life cycle. Consumers have become skeptical of dietary guidelines as media coverage of new studies is often in conflict with accepted nutrition dogma. We discuss whether we really have a science-based databank to support dietary guidelines, based on a scientific session at the 10th International Conference on Nutrition and Growth.
Keywords
dietary guidelines; evidence in nutrition; food behavior; sustainability; global health
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
