Dietary Intake
Conditions
Keywords
Voice recognition, 24-hr diet recall, Mobile application, Self-report
Brief summary
This project will pilot test a new app for self-monitoring food intake using natural spoken language (by voice recognition or text) to provide daily estimates of energy and nutrient intakes with a phone app.
Detailed description
Self-recording food intake is recommended for weight management and healthy eating. However, current methods, including web platforms and apps, are often burdensome leading to short-term use by the consumer. The solution uses cutting-edge speech and language understanding technology to streamline the food logging process. With this technology, the user simply describes what they ate and the system automatically selects the appropriate items and quantities consumed from the USDA food database, which calculates the nutrition profile of the entry.
Interventions
BEHAVIORALCOCO application
All participants will complete a screening survey to determine their eligibility for the study, if eligible and willing to participate, he or she will sign an informed consent form. Once participants are enrolled in the study, a demographics questionnaire will be completed along with 5 days of food tracking on the COCO application. Between days 3 and 7, participants will complete two 24-hr diet recall, one a day, and a patient satisfaction questionnaire.
Sponsors
Massachusetts Institute of Technology
Tufts University
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes
Inclusion criteria
* Generally healthy men and women 18-65 years if age * Currently participating in ongoing studies at the HNRCA * Willing and able to sign written informed consent prior to study entry * iPhone (iOS 11 or higher) user willing to download the COCO application and record food intake for 5 days
Exclusion criteria
* Android or iPhone (iOs 10 or lower) user unable to download and use the COCO application * Holds a graduate degree in nutrition
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in energy intake using food application COCO | Between days 3 and 7 of the study | The primary outcome will be to assess whether food capture using the mobile application is comparable with conventional 24-hour dietary recall. This will be done by measuring the energy intake (mean of two days) in the two methods. |
| Change in energy intake using 24 hour dietary recall | Between days 3 and 7 of the study | The primary outcome will be to assess whether food capture using the mobile application is comparable with conventional 24-hour dietary recall. This will be done by measuring the energy intake (mean of two days) in the two methods. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of food capture method using mobile application | Between days 3 and 7 of the study | The secondary outcome will measure the energy and nutrient content reported by the mobile application over time. Measured energy intake in a subset of participants in another study that provides dietary intake data will be compared to food intake data using the mobile application. |
Other
| Measure | Time frame | Description |
|---|---|---|
| Application feasibility | Betweens days 5 and 7 | Feasibility of the use of the application to record dietary intake will be measured through a patient satisfaction questionnaire. |
Countries
United States
Outcome results
None listed