RECRUITING

EAT: A Reliable Eating Assessment Technology for Free-living Individuals

Study Overview

This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.

Description

This study utilizes a small, privacy-conscious wearable device intended to monitor human behaviors. The device is worn around the neck, capturing the wearer's head and upper torso within its field of view, and records color images without audio. Participants visit the lab for consent, device training and recording of several activities using the device. Participants will then take the device home and wear it during their normal schedules for four "active" weeks. During each active week, participants will wear the device, keep a log of all food and drink items consumed throughout the day and participate in unscheduled phone calls with a dietitian. A "washout" week occurs in between each active week in which participants do not need to complete any study tasks. Alongside the device, we have included three privacy filters (blur, edge, and avatar) capable of obscuring faces and objects seen in the device-captured images. All participants will be subject to unfiltered recording during their first week followed by a different filter each following active week in a random order. At the start of each active week, participants view an example of what their recorded images will look like that week (given the privacy filter). At the end of the seven weeks, participants will return the device and provide the lab with feedback on the design of the device and its privacy-preserving features.

Official Title

EAT: A Reliable Eating Assessment Technology for Free-living Individuals

Quick Facts

Study Start:2024-09-04
Study Completion:2025-10
Study Type:Not specified
Phase:Not Applicable
Enrollment:Not specified
Status:RECRUITING

Study ID

NCT06118528

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Ages Eligible for Study:18 Years
Sexes Eligible for Study:ALL
Accepts Healthy Volunteers:Yes
Standard Ages:ADULT, OLDER_ADULT
Inclusion CriteriaExclusion Criteria
  1. * BMI greater than or equal to 18.5
  2. * Chicago metropolitan area resident
  3. * Able to speak, read and write in English
  4. * Has a valid phone number
  5. * Owns a smartphone
  6. * Has access to a computer
  1. * Pregnant or breastfeeding individuals
  2. * Experienced significant weight loss/gain in the last three months (25 lbs or more)
  3. * Diagnosed with or has a family history of genetic obesity syndromes (e.g., Prader-Willi, Bardet-Biedl, Cohen Syndrome)
  4. * Member of household enrolled in the study

Contacts and Locations

Study Contact

Nabil Alshurafa
CONTACT
3125034517
nabil@northwestern.edu
Bonnie Nolan
CONTACT
3125031216
bonnie.nolan@northwestern.edu

Study Locations (Sites)

Northwestern University
Chicago, Illinois, 60611
United States

Collaborators and Investigators

Sponsor: Northwestern University

Study Record Dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Registration Dates

Study Start Date2024-09-04
Study Completion Date2025-10

Study Record Updates

Study Start Date2024-09-04
Study Completion Date2025-10

Terms related to this study

Keywords Provided by Researchers

  • Wearable
  • Electronic
  • Device
  • Behavior
  • Eat
  • Privacy
  • Camera
  • Obesity
  • Obfuscation
  • Filter
  • Cartoon
  • Blur
  • Raw
  • Edge
  • Burden
  • Wearer
  • Bystander
  • Monitor
  • BMI
  • Calories
  • Tool
  • Algorithm
  • RGB
  • Thermal
  • Data
  • Health
  • Chest

Additional Relevant MeSH Terms

  • Wearable Electronic Device