Food Talk: A New App for Daily Food Monitoring

NCT ID: NCT03869658

Last Updated: 2019-09-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

40 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-08-01

Study Completion Date

2019-07-01

Brief Summary

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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

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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.

Conditions

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Dietary Intake

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Interventions

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COCO 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.

Intervention Type BEHAVIORAL

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Massachusetts Institute of Technology

OTHER

Sponsor Role collaborator

Tufts University

OTHER

Sponsor Role lead

Responsible Party

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Susan Roberts

Senior Scientist and Lab Director

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Human Nutrition Research Center on Aging

Boston, Massachusetts, United States

Site Status

Countries

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United States

References

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Wang Y, Beydoun MA. The obesity epidemic in the United States--gender, age, socioeconomic, racial/ethnic, and geographic characteristics: a systematic review and meta-regression analysis. Epidemiol Rev. 2007;29:6-28. doi: 10.1093/epirev/mxm007. Epub 2007 May 17.

Reference Type BACKGROUND
PMID: 17510091 (View on PubMed)

Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014 Feb 26;311(8):806-14. doi: 10.1001/jama.2014.732.

Reference Type BACKGROUND
PMID: 24570244 (View on PubMed)

Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual medical spending attributable to obesity: payer-and service-specific estimates. Health Aff (Millwood). 2009 Sep-Oct;28(5):w822-31. doi: 10.1377/hlthaff.28.5.w822. Epub 2009 Jul 27.

Reference Type BACKGROUND
PMID: 19635784 (View on PubMed)

Other Identifiers

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1234

Identifier Type: -

Identifier Source: org_study_id

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