The purpose of this research was to develop and test the feasibility of Habit, a weight loss mobile application that was designed to coach patients through their weight loss challenges. In a pilot trial in 43 obese participants, investigators tested the feasibility of the Smart Coach mobile application when paired with a shortened online-delivered (8-week) behavioral weight loss intervention. Feasibility outcomes included frequency and duration of usage of the mobile app and each feature, recruitment, and retention. Post-intervention focus groups discussed the feasibility and acceptability of the intervention. The investigators also performed exploratory analyses comparing conditions on problem solving skills and weight loss at 8 and 16 weeks, which will inform a subsequent randomized controlled efficacy trial.
The investigators developed and tested the feasibility of Habit, a weight loss mobile app that includes common features such as self-monitoring, goal setting, and a social network, but even more importantly, an avatar-facilitated, idiographic problem solving feature that processes information intelligently to help patients identify solutions to their weight loss problems. In a pilot trial in 43 obese participants, investigators tested the feasibility of the Habit mobile application when paired with a shortened (8 week) behavioral weight loss intervention. Feasibility outcomes included frequency and duration of usage of the mobile app and each feature, recruitment, and retention. The investigators also performed analyses on problem solving skills and weight loss at 8 and 16 weeks, which will inform a subsequent randomized controlled efficacy trial. Data will support an efficacy trial of a Habit-assisted brief behavioral weight loss intervention relative to a brief behavioral weight loss intervention alone with 1 year follow-up. The investigators overarching goal is to develop mobile technology that reduces the intensity of lifestyle interventions as far as possible while preserving weight loss outcomes, to ultimately broaden reach.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
45
University of Connecticut
Storrs, Connecticut, United States
Feasibility (Total Uses)
Mean total uses of the problem solving function of the mobile application
Time frame: 8-week follow-up
Feasibility (Total Habits Attempted)
Total amount of new habits attempted during the study
Time frame: 8-week follow-up
Feasibility (Recruitment Rates)
Recruitment rates include the total number of participants contacting us to participate, which includes the intervention participants plus those screened out prior to starting the intervention (Total screened = 559; Total intervention participants = 43)
Time frame: Baseline
Feasibility (Retention Rates)
Total attendance at groups and total withdrawn from the study
Time frame: 8-weeks
Problem Solving Inventory
The social problem solving inventory measures strengths and weaknesses in ability to solve problems in all areas of life. The measure includes sub scales (positive problem orientation, rational problem-solving, negative problem orientation, impulsivity/carelessness style, and avoidance style). The means of the subscales are summed and then matched against an age chart to achieve the total score for the age being studied. This is done for each participant. The scoring range is 28 to 140. The higher the score the higher the problem solving ability.The change from baseline to 8-weeks is calculated by subtracting the baseline score from the 8 week score and then doing a 1-sample t-test of whether or not the change was different than 0.
Time frame: 8-week follow-up
% Weight Change
Measured in pounds with a digital scale
Time frame: 8-week follow-up
% Weight Change
Measured in pounds with a digital scale
Time frame: 16 week follow-up
Social Problem Solving Inventory
The social problem solving inventory measures strengths and weaknesses in ability to solve problems in all areas of life. The measure includes sub scales (positive problem orientation, rational problem-solving, negative problem orientation, impulsivity/carelessness style, and avoidance style). The means of the subscales are summed and then matched against an age chart to achieve the total score for the age being studied. This is done for each participant. The scoring range is 28 to 140. The higher the score the higher the problem solving ability. The change from baseline to 16-weeks is calculated by subtracting the baseline score from the 16 week score and then doing a 1-sample t-test of whether or not the change was different than 0.
Time frame: 16-week follow-up
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