06201nam 2201609z- 450 991055714740332120210501(CKB)5400000000040584(oapen)https://directory.doabooks.org/handle/20.500.12854/68592(oapen)doab68592(EXLCZ)99540000000004058420202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvancement in Dietary Assessment and Self-Monitoring Using TechnologyBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (348 p.)3-03928-058-9 3-03928-059-7 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.Biology, life sciencesbicsscResearch & information: generalbicssc24-h dietary recall24-h recallaccelerometeradultsAIMappsassessmentAutomated Self-Administered Dietary Assessment Tool (ASA24)automatic bolus calculatorblood glucosecalorie countingcarbohydrate countingcardiovascular disease risk awarenesschewing detectionchildrendevelopmental disabilitiesDGAdiabetes managementdiabetes mellitusdiabetes self-care activitiesdietdiet appsdiet assessmentdietary applicationdietary assessmentdietary behaviorsdietary intake assessmentdietary recorddoubly labeled waterdown syndromeEast Asianseating activity detectionenergy intakefood availabilityfood choicesfood energy estimationfood frequency questionnairefood intake detectionfood logfood measurementfood recordfruitsgenerative adversarial networksgenerative modelsglycemic controlgyroscopehand-to-mouth movementhealthy diethousehold food purchase behaviorhuman factorsimage-assisted methodimage-to-energy mappinginfantinsulin dosagelow socioeconomic statuslower middle income countriesmHealthmobile appmobile applicationsmobile food recordmobile technologiesn/aneural networksnutrient databasenutrient retentionnutrientsnutritionnutritional applicationnutritional scienceobesityover-reportingoverweight weight controlpediatricsphysical activityprotein and fat countingqualitative researchrecallrecipe calculationsregressionsrelative validityreliabilityself-monitoringsensor validationshared plate eatingsmartphonespina bifidasugar intakestechnological innovationstechnologytext messagestype 2 diabetesType 2 diabetes mellitusunder-reportingusabilityvalidityvegetablesvideo annotationvoice description of mealswebWeb-based technologieswrist-mounted motion tracking sensoryoung adultsBiology, life sciencesResearch & information: generalBurrows Tracyedt1288395Rollo MeganedtBurrows TracyothRollo MeganothBOOK9910557147403321Advancement in Dietary Assessment and Self-Monitoring Using Technology3031960UNINA