Behavior, Eating, Behavior, Health, Obesity, Overweight and Obesity, Self Efficacy, Weight Loss
Conditions
Brief summary
To evaluate the effect of one-on-one coaching in the Noom Healthy Weight Program, a digital behavior change, weight loss intervention, compared to the same program with no coaching, as well as influential factors.
Interventions
The intervention consists of a curriculum, provided through daily articles that users are encouraged to read; logging features for weight, meals, and physical activity; in-app groups; and a virtual coach, who will communicate with participants via in-app messaging. During the first week of the study, participants will be introduced to the program, the Noom app, and their coach. Coaches will use a secure dashboard to monitor patient progress, which is used to increase engagement and motivation. Participants are encouraged to log their weight and physical activity on a weekly basis, and meals daily.
The intervention consists of a curriculum, provided through daily articles that users are encouraged to read; logging features for weight, meals, and physical activity. During the first week of the study, participants will be introduced to the program, and the Noom app.
Sponsors
Study design
Eligibility
Inclusion criteria
* Able to understand and provide informed consent * 18-65 years old * Self-report of good health (physical and mental) * Not diagnosed with diabetes * Overweight or obesity (BMI ≥ 27) * Able to meet our criteria of adherence to the program (at least 1 engagement per week on one of the following: logged exercise, logged meals, steps, weigh-ins, coach messages, read articles, and days with at least one weigh-in.) For females * Not 6 months postpartum * Not planning to become pregnant in the next 5 months.
Exclusion criteria
* Inability or unwillingness of a participant to give written informed consent * Currently pregnant or ≤ 6 months postpartum * Presence of a condition or abnormality that in the opinion of the Investigator would compromise the quality of the data E.g., evidence of an eating disorder, major chronic condition
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Weight | 4 months | Self reported |
| Self reported in app engagement measures | 4 months | self reported and automatically logged |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Resilience via Devereux Adult Resilience Survey | 4 months | Provides insights into personal strengths |
| Quality of Life Via SF-12 | 4 months | Self-reported outcome measure assessing the impact of health on an individual's everyday life. It is often used as a quality of life measure |
| Linguistic Features via Linguistic Inquiry Word Count (LIWC) | 16 weeks | LIWC-derived linguistic analysis of emotional tone taken from from expressively written text following a writing task prompt |
| Self Efficacy via General Self-Efficacy Scale | 4 months | The scale was created to assess a general sense of perceived self-efficacy with the aim in mind to predict coping with daily hassles as well as adaptation after experiencing all kinds of stressful life events. |
| Eating Behavior via the Dutch Eating Behavior Questionnaire | 4 months | The Dutch Eating Behavior Questionnaire (DEBQ) assesses the structure of an individual's eating behavior. the DEBQ contains separate scales for emotional, external, and restrained eating behavior. |
Countries
United States