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| Name | Class |
|---|---|
| FitNow Inc | UNKNOWN |
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The study team analyzed de-identified user data provided by the commercial app Lose It!, an entity of FitNow, Inc.
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.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Lose It! commercial weight loss app | Behavioral | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Percent body weight lost | Percent body weight lost over first five months of 2016 | five months |
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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).
Exclusion Criteria:
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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).
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| Name | Affiliation | Role |
|---|---|---|
| Lawrence Cheskin, MD | Johns Hopkins Bloomberg School of Public Health | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29661750 | Result | Hill C, Weir BW, Fuentes LW, Garcia-Alvarez A, Anouti DP, Cheskin LJ. Relationship Between Weekly Patterns of Caloric Intake and Reported Weight Loss Outcomes: Retrospective Cohort Study. JMIR Mhealth Uhealth. 2018 Apr 16;6(4):e83. doi: 10.2196/mhealth.8320. |
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| ID | Term |
|---|---|
| D050177 | Overweight |
| D009765 | Obesity |
| D000544 | Alzheimer Disease |
| D015431 | Weight Loss |
| D001519 | Behavior |
| ID | Term |
|---|---|
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
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| D012816 |
| Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D003704 | Dementia |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D024801 | Tauopathies |
| D019636 | Neurodegenerative Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D001836 | Body Weight Changes |