Precision Nutrition and Lifespan Health Outcomes
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition and Public Health".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 39
Special Issue Editor
Special Issue Information
Dear Colleagues,
Precision nutrition is an approach that uses information on individual and population characteristics to develop targeted nutritional advice, products, or services to enable the achievement of lasting dietary behavior change that is beneficial for health and wellbeing. It is analogous to precision prevention and embraces the integration of individual- and community-level data, including biologic, behavioral, socioeconomic, and epidemiologic data, to create and implement strategies tailored to reducing diet-related chronic diseases and health conditions in specific individuals or populations. It acknowledges the heterogeneity in responses to dietary interventions and the need to tailor and/or adapt dietary recommendations to individuals’ or families’ of differing physiologic, socioeconomic, or cultural circumstances. It integrates public health with health professionals’ care by considering socioeconomic, psychological/behavioral, and environmental/cultural factors in creating programs to improve the quality of life of individuals and populations. The inclusion of social determinants of health in an analytic framework recognizes the powerful effects of structural factors that influence diet-related chronic diseases, such as geography, income, education, and structural racism. Advances in Artificial Intelligence (AI) and Machine Learning (ML) are enabling integration and harmonization of individual- (e.g., dietary data) and community-level data, and combined with implementation, have the potential to provide the right dietary intervention for the right person or community at the right time. The use of data analytic tools that identify phenotypes in whom dietary recommendations could have beneficial effects underscores the opportunity for precision nutrition to mitigate health disparities in individuals and communities.
In this Special Issue on precision nutrition and lifespan health outcomes, we welcome submissions focusing on epidemiologic studies and clinical trials in precision nutrition across the lifespan (i.e., developmental transitions—pregnancy through childhood and adulthood, menopause, and older adulthood) with the goal of reducing disparities in diet-related chronic diseases and improving health and wellbeing.
Dr. Charlotte A Pratt
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Nutrients is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- precision nutrition
- personalized nutrition
- tailored nutrition
- health equity
- health disparities
- health promotion
- implementation science
- chronic diseases
- cardiovascular diseases
- low-resource settings
- data analytics
- artificial intelligence
- machine learning
