Analysis of De-identified Data From Commercially-available App Lose It!

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

7007 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-05-01

Study Completion Date

2018-12-01

Brief Summary

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The study team analyzed de-identified user data provided by the commercial app Lose It!, an entity of FitNow, Inc.

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Detailed Description

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The study team analyzed de-identified user data collected by Lose It! for the purposes of investigating behavioral aspects of weight loss and maintenance, including engagement with the platform; user-reported data on diet, exercise, and other behaviors; data generated by Lose It! describing macronutrient or total calorie intake; periodicity of weight-related actions; user-reported demographic information; and any data from linked applications within Lose It!. All data was anonymized and exchanged as limited data sets.

Conditions

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Overweight and Obesity

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

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Lose It! commercial weight loss app

Lose It! is a commercial weight loss smart phone app designed for easy caloric tracking. It provides a free mobile and web interface for users to construct an individualized weight loss plan by entering their goal weight and desired weekly weight loss. Using the user's height, current weight, gender and age, the app generates a daily caloric budget designed for the user to reach their goal. Users can then log their caloric intake, exercise, and weight to track progress toward their goal.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

\- New app users located in the U.S. and Canada, between 18 and 80 years of age, that are overweight (25 \< BMI \< 30) or obese (BMI \> 30), who actively used the app each month from January to May of 2016, defined as users who logged food at least 8 times during the first or second half of each month (January, February, March, April and May).