Digital Technology and Diet-Related Health
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Public Health Statistics and Risk Assessment".
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 2424
Special Issue Editor
2. Illawarra Health and Medical Research Institute, Wollongong, NSW 2522, Australia
Interests: diet; eating behaviour change; digital health; mHealth; eHealth; dietary assessment
Special Issue Information
Dear Colleagues,
There is evidence that poor dietary habits are associated with a range of chronic diseases (e.g., heart disease, diabetes, and colorectal cancer). Evidence suggests that one in every five deaths worldwide is associated with poor dietary habits.
Advances in digital technologies can support the delivery of person-centred nutrition care for improving diet-related health. Digital technologies (e.g., the internet of things, big-data analytics, and artificial intelligence that uses deep learning) can be applied to help tackle the challenges of changes in eating behaviour.
This Special Issue plans to give an overview of the most recent advances in the field of using digital technologies to promote diet-related health. It aims to provide selected contributions on advances in the synthesis, characterisation, and applications of digital technologies with regard to changes in eating behaviour.
Potential topics include, but are not limited to:
- Use of digital technologies for eating behaviour change, nutrition intervention, and nutrition education;
- Use of digital technologies for tailored dietary advice and personalised nutrition;
- Use of digital technologies for dietary assessment;
- Image-based or image-assisted dietary assessment;
- Automation of nutrition care process;
- Use of advanced methods and tools to promote diet-related health.
Dr. Vivienne Guan
Guest Editor
Manuscript Submission Information
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Keywords
- diet
- eating behaviour change
- digital health
- mHealth
- eHealth
- tailored dietary advice
- personalised nutrition
- nutrition care process
- dietary assessment
- persuasive system
- automation
- human–computer interaction
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