New Advances in Dietary Assessment
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition Methodology & Assessment".
Deadline for manuscript submissions: closed (31 January 2025) | Viewed by 2482
Special Issue Editor
Special Issue Information
Dear Colleagues,
Accurate measurements of dietary intake are fundamental to health and nutrition research; yet diet is inherently complex to measure due to its variability over time and across life stages. Recent technological advances have revolutionised dietary assessment, utilising mobile phones, sensors, wearable cameras, web-based platforms, biomarkers of nutrient intake, and more recently, artificial intelligence. These innovative methods have become popular alternatives to traditional pen-and-paper assessments, facilitating data collection across diverse geographic locations and often being preferred by participants. Technology-enhanced dietary assessments have been shown to reduce costs and provide more detailed and dynamic insights into dietary behaviours. However, using new technologies in dietary assessment also presents challenges, such as ensuring data accuracy and, in some cases, overcoming user adoption barriers.
This Special Issue invites contributions that explore innovative approaches and technologies in dietary assessment. We seek original research and review articles that demonstrate the application of these advancements in various populations and settings. Topics of interest include, but are not limited to, the following:
- Development and validation of new dietary assessment tools;
- Application of digital health technologies in dietary assessment;
- Use of big data and artificial intelligence in nutritional epidemiology;
- Integration of dietary assessment with biomarkers and genetic data;
- Cross-cultural adaptations of dietary assessment methods;
- Innovative approaches for analysing dietary intake data.
By showcasing cutting-edge research, this Special Issue aims to provide a comprehensive overview of the state of the art in dietary assessment. We hope to stimulate further innovation and collaboration in the field, ultimately leading to improved dietary assessment approaches. We encourage researchers and practitioners from diverse disciplines to contribute to this Special Issue by sharing their findings and perspectives on innovative approaches to collecting and analysing dietary intake data. These advances can provide greater insight into dietary behaviours across populations, enhancing our understanding of diet–health relationships and supporting public health efforts worldwide.
Dr. Claire Timon
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
- dietary assessment
- nutritional epidemiology
- digital health
- big data and AI
- dietary patterns
- biomarkers
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