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Feasibility Trial of a Problem-Solving Weight Loss Mobile Application

Feasibility Trial of a Problem-Solving Weight Loss Mobile Application

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02192905
Enrollment
45
Registered
2014-07-17
Start date
2015-12-31
Completion date
2017-01-31
Last updated
2018-09-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity, Weight Loss

Brief summary

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.

Detailed description

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.

Interventions

BEHAVIORALDiabetes Prevention Program Lifestyle Intervention

Sponsors

Worcester Polytechnic Institute
CollaboratorOTHER
University of Connecticut
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

Inclusion: Participants must 1) have a BMI between 30 and 45, 2) currently uses a smartphone with Android software, 3) have connectivity to the internet at home and work, 4) have PCP written clearance, and 5) age 18 or older. Exclusion: 1. Ages \<18 2. BMI \<30 and \>45 3. Does not currently use a smart phone with Android software version 4.4 or later 4. Does not use a smartphone supported by the app (will assess model and type of phone for each participant) 5. Does not have connectivity to the internet at home and work; or wifi access at home 6. Does not use smart phone regularly throughout the day 7. Has not used Android smartphone for at least a year 8. Has not used a weight loss mobile app in the last 6 months 9. Does not have a Facebook account, uses it infrequently, or does not actively engage on Facebook 10. Does not have a gmail account or is unwilling to create one 11. Does not have PCP written clearance 12. Bipolar disorder, substance abuse, psychosis, bulimia, or severe depression 13. Pregnant or lactating 14. Had bariatric surgery 15. Medication affecting weight 16. Adults unwilling to provide consent 17. Prisoners 18. Unable to read or understand English 19. Has type 1 or 2 diabetes 20. Have concerns about being audiotaped 21. Unable to walk unaided 22. Has any medical condition that precludes lifestyle changes

Design outcomes

Primary

MeasureTime frameDescription
Feasibility (Total Uses)8-week follow-upMean total uses of the problem solving function of the mobile application
Feasibility (Total Habits Attempted)8-week follow-upTotal amount of new habits attempted during the study
Feasibility (Recruitment Rates)BaselineRecruitment 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)
Feasibility (Retention Rates)8-weeksTotal attendance at groups and total withdrawn from the study

Secondary

MeasureTime frameDescription
% Weight Change8-week follow-upMeasured in pounds with a digital scale
Social Problem Solving Inventory16-week follow-upThe 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.
Problem Solving Inventory8-week follow-upThe 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.

Countries

United States

Participant flow

Pre-assignment details

In order to begin the intervention, participants needed to complete: an online eligibility screener, a telephone screening, the consent process, a screening survey, medical clearance, and a webinar. Missing any of these components would be reason for exclusion.

Participants by arm

ArmCount
Behavioral Weight Loss + Habit
Individuals randomized to this condition will receive 8 weeks of an online-delivered weight loss intervention adapted from the Diabetes Prevention Program Lifestyle Intervention and will use the Habit mobile app during the study. Diabetes Prevention Program Lifestyle Intervention
43
Total43

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyLost to Follow-up1

Baseline characteristics

CharacteristicBehavioral Weight Loss + Habit
Age, Continuous37.33 years
STANDARD_DEVIATION 11.29
Ethnicity (NIH/OMB)
Hispanic or Latino
1 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
42 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Facebook Use
Uses Facebook 5-6 times per week
9 Participants
Facebook Use
Uses Facebook daily or more
34 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
1 Participants
Race (NIH/OMB)
Black or African American
5 Participants
Race (NIH/OMB)
More than one race
2 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
White
35 Participants
Region of Enrollment
United States
43 participants
Sex: Female, Male
Female
29 Participants
Sex: Female, Male
Male
14 Participants
Social-Problem Solving Inventory-Revised107.3 Total score
STANDARD_DEVIATION 14.75
Weight202.02 pounds
STANDARD_DEVIATION 42.6

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 43
other
Total, other adverse events
9 / 43
serious
Total, serious adverse events
0 / 43

Outcome results

Primary

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

Population: Of the total number of participants screened for this study (n=559), 7.69% (n=43) were enrolled into the intervention.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Behavioral Weight Loss + HabitFeasibility (Recruitment Rates)43 Participants
Primary

Feasibility (Retention Rates)

Total attendance at groups and total withdrawn from the study

Time frame: 8-weeks

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Behavioral Weight Loss + HabitFeasibility (Retention Rates)42 Participants
Primary

Feasibility (Total Habits Attempted)

Total amount of new habits attempted during the study

Time frame: 8-week follow-up

ArmMeasureValue (MEAN)Dispersion
Behavioral Weight Loss + HabitFeasibility (Total Habits Attempted)17.4 mean habits attemptedStandard Deviation 11.6
Primary

Feasibility (Total Uses)

Mean total uses of the problem solving function of the mobile application

Time frame: 8-week follow-up

ArmMeasureValue (MEAN)Dispersion
Behavioral Weight Loss + HabitFeasibility (Total Uses)23.7 mean uses of the appStandard Deviation 19
Secondary

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

ArmMeasureValue (MEAN)Dispersion
Behavioral Weight Loss + HabitProblem Solving Inventory-.64 Total scoreStandard Deviation 8.31
p-value: 0.6395% CI: [-3.34, 2.05]t-test, 2 sided
Secondary

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

ArmMeasureValue (MEAN)Dispersion
Behavioral Weight Loss + HabitSocial Problem Solving Inventory-.76 Total scoreStandard Deviation 13.07
p-value: 0.7395% CI: [-5.11, 3.6]t-test, 2 sided
Secondary

% Weight Change

Measured in pounds with a digital scale

Time frame: 8-week follow-up

ArmMeasureValue (MEAN)Dispersion
Behavioral Weight Loss + Habit% Weight Change-1.9 percentage of poundsStandard Deviation 3
p-value: <0.00195% CI: [-0.0285, -0.0096]t-test, 2 sided
Secondary

% Weight Change

Measured in pounds with a digital scale

Time frame: 16 week follow-up

ArmMeasureValue (MEAN)Dispersion
Behavioral Weight Loss + Habit% Weight Change-1.67 percentage of poundsStandard Deviation 7.3
p-value: 0.14395% CI: [-0.039, 0.006]t-test, 2 sided

Source: ClinicalTrials.gov · Data processed: Feb 24, 2026