grant
PASSPORT: PASsive Sensing to Prevent stress-related Overeating in Real-Time
Organization NORTHWESTERN UNIVERSITYLocation CHICAGO, UNITED STATESPosted 5 Sept 2025Deadline 30 Jun 2030
NIHUS FederalResearch GrantFY202521+ years oldAcuteAdherenceAdultAdult HumanAlgorithmsAndroid AppAndroid ApplicationAnimal ModelAnimal Models and Related StudiesAppetiteBehavior Conditioning TherapyBehavior ModificationBehavior TherapyBehavior TreatmentBehavioral Conditioning TherapyBehavioral ModificationBehavioral TherapyBehavioral TreatmentCaloriesCardiovascular DiseasesCell Phone ApplicationCell phone AppCellular Phone AppCellular Phone ApplicationChestClinicalColorConditioning TherapyConsumptionControlled EnvironmentDataDesire for foodDetectionDevelopmentDevicesDietECGEKGEatingEating BehaviorElectrocardiogramElectrocardiographyEvaluationEventExposure toFoodFood IntakeFood PreferencesFrequenciesFutureGeneral PopulationGeneral PublicGesturesHealthHourHyperphagiaImageIndividualIntakeInterventionJIT interventionKnowledgeLaboratoriesLight Reflection RheographyMeasuresModelingMonitorObesityOvereatingParticipantPatient Self-ReportPatternPerformancePersonsPhenotypePhotoplethysmographyPhotoreflexometriesPhotoreflexometryPhysiologicPhysiologicalPhysiologyPregnant WomenProcessProxyReportingResearchRisk BehaviorsRisk FactorsRisky BehaviorRunningSelf-ReportSkin TemperatureSmart Phone AppSmart Phone ApplicationSmartphone AppSourceSpeedStandardizationStimulusStressStressful EventTechnologyTestingThoraceThoracicThoraxTimeTrier Social Stress TestUpdateVisualWristacute stressadiposityadulthoodapp on a smartphoneapplication on a smartphoneartificial environmentat risk behaviorawakebehavior interventionbehavioral interventionbody sensorbody worn sensorcardiovascular disease riskcardiovascular disordercardiovascular disorder riskcardiovascular riskcardiovascular risk factorcell phone based appcompare interventioncomparison interventioncorpulencedata captured from wearablesdata collected from wearablesdata collected using wearablesdata gathered from wearabledata gathered through wearablesdata gathered via wearabledesigndesigningdevelopmentaldiet choicediet preferencedietary choicedietary preferencesdietsexpectant motherexpectant womenexpecting motherexpecting womenexperimentexperimental researchexperimental studyexperimentsflexibilityflexiblefood choiceiOS appiOS applicationiPhone AppiPhone Applicationimagingimprovedindividuals who are pregnantinnovateinnovationinnovativejust-in-time interventionlight weightlightweightmachine learned algorithmmachine learning algorithmmachine learning based algorithmmachine learning based methodmachine learning based modelmachine learning methodmachine learning methodologiesmachine learning modelmobile phone appmodel of animalnoveloutcome predictionpeople who are pregnantperceived stressperception of stressperformance testsphone appphone applicationpolyphagiapregnant femalespregnant motherspregnant peoplepregnant populationspreventpreventingresilienceresilientresponseself-reported stresssensing datasensing technologysensorsensor datasensor technologysensor-based technologysmartphone applicationsmartphone based appsmartphone based applicationstress perceptionstressful experiencestressful life eventstressful life experiencestressorthose who are pregnanttime usetoolwearablewearable biosensorwearable datawearable devicewearable device datawearable electronicswearable sensorwearable sensor datawearable sensor technologywearable systemwearable technologywearable toolwearableswomen who are pregnant
Description preview
Project Summary/Abstract
Stressful events, overeating, and obesity have been associated with cardiovascular disease (CVD).
Characterizing the relationship between these factors may inform targeted and timely interventions to prevent
overeating episodes. To date most research relies on self-reports to identify stress and overeating episodes.…
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