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Advancement in Dietary Assessment and Self-Monitoring Using Technology
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Although methods to assess or self-monitor intake may be considered similar, the intended function of each is quite distinct. For the assessment of dietary intake, methods aim to measure food and nutrient intake and/or to derive dietary patterns for determining diet-disease relationships, population surveillance or the effectiveness of interventions. In comparison, dietary self-monitoring primarily aims to create awareness of and reinforce individual eating behaviours, in addition to tracking foods consumed. Advancements in the capabilities of technologies, such as smartphones and wearable devices, have enhanced the collection, analysis and interpretation of dietary intake data in both contexts. This Special Issue invites submissions on the use of novel technology-based approaches for the assessment of food and/or nutrient intake and for self-monitoring eating behaviours. Submissions may document any part of the development and evaluation of the technology-based approaches. Examples may include: web adaption of existing dietary assessment or self-monitoring tools (e.g., food frequency questionnaires, screeners) image-based or image-assisted methods mobile/smartphone applications for capturing intake for assessment or self-monitoring wearable cameras to record dietary intake or eating behaviours body sensors to measure eating behaviours and/or dietary intake use of technology-based methods to complement aspects of traditional dietary assessment or self-monitoring, such as portion size estimation.
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Keywords
- 24-h dietary recall
- 24-h recall
- accelerometer
- adults
- AIM
- Apps
- assessment
- Automated Self-Administered Dietary Assessment Tool (ASA24)
- automatic bolus calculator
- Biology, Life Sciences
- blood glucose
- calorie counting
- carbohydrate counting
- cardiovascular disease risk awareness
- chewing detection
- Children
- Developmental Disabilities
- DGA
- diabetes management
- Diabetes Mellitus
- diabetes self-care activities
- Diet
- diet apps
- diet assessment
- dietary application
- dietary assessment
- dietary behaviors
- dietary intake assessment
- dietary record
- doubly labeled water
- Down Syndrome
- East Asians
- eating activity detection
- Energy Intake
- food availability
- food choices
- food energy estimation
- food frequency questionnaire
- food intake detection
- food log
- food measurement
- food record
- fruits
- generative adversarial networks
- generative models
- glycemic control
- gyroscope
- hand-to-mouth movement
- healthy diet
- household food purchase behavior
- Human factors
- image-assisted method
- image-to-energy mapping
- Infant
- insulin dosage
- low socioeconomic status
- lower middle income countries
- Mathematics & science
- mHealth
- mobile app
- mobile applications
- mobile food record
- mobile technologies
- n/a
- neural networks
- nutrient database
- nutrient retention
- Nutrients
- Nutrition
- nutritional application
- nutritional science
- Obesity
- over-reporting
- overweight weight control
- Pediatrics
- physical activity
- protein and fat counting
- Qualitative research
- Recall
- recipe calculations
- Reference, information & interdisciplinary subjects
- regressions
- relative validity
- Reliability
- Research & information: general
- self-monitoring
- sensor validation
- shared plate eating
- smartphone
- spina bifida
- sugar intakes
- Technological innovations
- Technology
- Text Messages
- type 2 diabetes
- type 2 diabetes mellitus
- under-reporting
- usability
- validity
- Vegetables
- video annotation
- voice description of meals
- Web
- Web-based technologies
- wrist-mounted motion tracking sensor
- Young adults
Links
DOI: 10.3390/books978-3-03928-059-9Editions