Advancement in Dietary Assessment and Self-Monitoring Using Technology
Burrows, Tracy
Advancement in Dietary Assessment and Self-Monitoring Using Technology - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (348 p.)
Open Access
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.
Creative Commons
English
books978-3-03928-059-9 9783039280582 9783039280599
10.3390/books978-3-03928-059-9 doi
Research & information: general
Biology, life sciences
children dietary assessment nutrients carbohydrate counting protein and fat counting calorie counting automatic bolus calculator voice description of meals insulin dosage glycemic control diabetes mellitus nutrition food measurement nutrient database energy intake validity reliability food frequency questionnaire web under-reporting over-reporting mobile applications adults nutritional science qualitative research mobile food record 24-h recall developmental disabilities spina bifida down syndrome technology pediatrics image-assisted method infant food record doubly labeled water nutritional application smartphone DGA dietary behaviors household food purchase behavior obesity overweight weight control mobile technologies Web-based technologies usability human factors Automated Self-Administered Dietary Assessment Tool (ASA24) 24-h dietary recall low socioeconomic status diet assessment food log recall diet apps recipe calculations nutrient retention dietary intake assessment technological innovations Type 2 diabetes mellitus diabetes management dietary application physical activity blood glucose mHealth sugar intakes dietary record East Asians chewing detection AIM neural networks food intake detection video annotation sensor validation diet assessment relative validity young adults apps mobile app fruits vegetables self-monitoring healthy diet shared plate eating lower middle income countries food energy estimation generative models generative adversarial networks image-to-energy mapping regressions eating activity detection hand-to-mouth movement wrist-mounted motion tracking sensor accelerometer gyroscope text messages type 2 diabetes diabetes self-care activities cardiovascular disease risk awareness food availability food choices n/a
Advancement in Dietary Assessment and Self-Monitoring Using Technology - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (348 p.)
Open Access
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.
Creative Commons
English
books978-3-03928-059-9 9783039280582 9783039280599
10.3390/books978-3-03928-059-9 doi
Research & information: general
Biology, life sciences
children dietary assessment nutrients carbohydrate counting protein and fat counting calorie counting automatic bolus calculator voice description of meals insulin dosage glycemic control diabetes mellitus nutrition food measurement nutrient database energy intake validity reliability food frequency questionnaire web under-reporting over-reporting mobile applications adults nutritional science qualitative research mobile food record 24-h recall developmental disabilities spina bifida down syndrome technology pediatrics image-assisted method infant food record doubly labeled water nutritional application smartphone DGA dietary behaviors household food purchase behavior obesity overweight weight control mobile technologies Web-based technologies usability human factors Automated Self-Administered Dietary Assessment Tool (ASA24) 24-h dietary recall low socioeconomic status diet assessment food log recall diet apps recipe calculations nutrient retention dietary intake assessment technological innovations Type 2 diabetes mellitus diabetes management dietary application physical activity blood glucose mHealth sugar intakes dietary record East Asians chewing detection AIM neural networks food intake detection video annotation sensor validation diet assessment relative validity young adults apps mobile app fruits vegetables self-monitoring healthy diet shared plate eating lower middle income countries food energy estimation generative models generative adversarial networks image-to-energy mapping regressions eating activity detection hand-to-mouth movement wrist-mounted motion tracking sensor accelerometer gyroscope text messages type 2 diabetes diabetes self-care activities cardiovascular disease risk awareness food availability food choices n/a