06164nam 2201585z- 450 991055714740332120231214133501.0(CKB)5400000000040584(oapen)https://directory.doabooks.org/handle/20.500.12854/68592(EXLCZ)99540000000004058420202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvancement in Dietary Assessment and Self-Monitoring Using TechnologyBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic 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.Research & information: generalbicsscBiology, life sciencesbicsscchildrendietary assessmentnutrientscarbohydrate countingprotein and fat countingcalorie countingautomatic bolus calculatorvoice description of mealsinsulin dosageglycemic controldiabetes mellitusnutritionfood measurementnutrient databaseenergy intakevalidityreliabilityfood frequency questionnairewebunder-reportingover-reportingmobile applicationsadultsnutritional sciencequalitative researchmobile food record24-h recalldevelopmental disabilitiesspina bifidadown syndrometechnologypediatricsimage-assisted methodinfantfood recorddoubly labeled waternutritional applicationsmartphoneDGAdietary behaviorshousehold food purchase behaviorobesityoverweight weight controlmobile technologiesWeb-based technologiesusabilityhuman factorsAutomated Self-Administered Dietary Assessment Tool (ASA24)24-h dietary recalllow socioeconomic statusdietassessmentfood logrecalldiet appsrecipe calculationsnutrient retentiondietary intake assessmenttechnological innovationsType 2 diabetes mellitusdiabetes managementdietary applicationphysical activityblood glucosemHealthsugar intakesdietary recordEast Asianschewing detectionAIMneural networksfood intake detectionvideo annotationsensor validationdiet assessmentrelative validityyoung adultsappsmobile appfruitsvegetablesself-monitoringhealthy dietshared plate eatinglower middle income countriesfood energy estimationgenerative modelsgenerative adversarial networksimage-to-energy mappingregressionseating activity detectionhand-to-mouth movementwrist-mounted motion tracking sensoraccelerometergyroscopetext messagestype 2 diabetesdiabetes self-care activitiescardiovascular disease risk awarenessfood availabilityfood choicesResearch & information: generalBiology, life sciencesBurrows Tracyedt1288395Rollo MeganedtBurrows TracyothRollo MeganothBOOK9910557147403321Advancement in Dietary Assessment and Self-Monitoring Using Technology3031960UNINA