A Self-directed Mobile Intervention to Promote Weight Control Among Employees of a Lebanese University (WaznApp)

January 10, 2019 updated by: Marco Bardus, American University of Beirut Medical Center

Can Commercial Mobile Apps for Weight Management be Used in Interventions? Bridging the Gap Between Usability, Theoretical Adherence, and User Experience - Part II - WaznApp Trial

WaznApp study is a 12-week randomized controlled trial aimed to evaluate the feasibility and preliminary efficacy of a self-directed behavioral weight-loss intervention targeting employees of an academic institution, using two popular consumer mobile applications for weight loss. The hypothesis is that individuals assigned to the app that provides interactive feedback and proactively motivates engagement in healthy behaviors (eating healthily and being more active) will be significantly better than those who receive the comparison condition (a simple calorie tracking app).

Study Overview

Detailed Description

BACKGROUND: Recent reviews show that popular mobile apps for weight loss and weight management embed elements that are commonly associated with behavior change, such as setting goals, self-reporting and monitoring behavior, and prompting feedback on performance. These technologies show good potential for developing interventions for the prevention of noncommunicable diseases. Despite their potential, little is known about how these changes can occur and the way end-users perceive and use these apps. Few studies tested if commercial apps for weight management can be used in interventions for behavior change.

PURPOSE: To assess the feasibility and preliminary efficacy of a self-directed weight-loss intervention targeting employees of an academic institution, using consumer mobile applications for weight loss (Lark and MyFitnessPal).

SETTING: American University of Beirut campus and Medical Center, Beirut, Lebanon.

PARTICIPANTS: Employees (adults aged 18+), with criteria of being able to read, write, and understand English, being owners of a mobile phone with either Android (v4.4 or above) or iPhone operative system (v8 or later); in better controlling their weight, and provide written informed consent to participate in the trial.

RESEARCH DESIGN: The study is a single-center, parallel randomized controlled trial with two study arms (intervention and control). The intervention arm will use Lark, a mobile coach app, which provides a just-in-time adaptive intervention (JITAI) by providing motivational feedback, goal setting, and emotional social support, among other change techniques. The control group will use MyFitnessPal, a calorie-counting app, which does not include JITAI components, but allows users to keep track of their caloric intake and energy expenditure.

EXPECTED IMPACT: This project will provide preliminary evidence on the efficacy of weight management apps, promoting behavior change among employees of an academic workplace. The results will inform larger scale studies targeting this population in Lebanon, and will be used as benchmark for further investigations in other settings and with other target groups.

Study Type

Interventional

Enrollment (Actual)

123

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Beirut, Lebanon
        • AUB Health & Wellness Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  1. Be an employee of the American University of Beirut (AUB) or its Medical Center (AUBMC).
  2. To be able to read, write, and understand English.
  3. To own a mobile phone with either Android (v4.4 or above) with or iOS (v8 or later).
  4. To be interested in better controlling their weight.

Exclusion Criteria:

  1. Students, who cannot prove their status as full-time or part-time employees at AUB or AUBMC.
  2. Employees who are not able to read, write, and understand English.
  3. Employees who do not own a mobile phone with either Android (v4.4 or above) or iOS (v8 or later).
  4. Employees who have physical disabilities preventing them from exercising or walking.
  5. Employees who are on a special diet for treatment of chronic conditions (e.g., Diabetes).

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: PREVENTION
  • Allocation: RANDOMIZED
  • Interventional Model: PARALLEL
  • Masking: SINGLE

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Lark (JITAI)
Participants in the intervention arm will use for 12 weeks the pro version of a mHealth app called "Lark", developed by Lark Technologies Ltd. Lark is a coach app, which uses several variables to generate smart and empathic conversations. Variables include activity, sleep, meals, weight, and height data, weight goal set by the user/Lark coach, activity goal set by user/Lark coach, starchy food goal set by user/Lark coach. Lark uses all these variables to create a dynamic coaching system, constantly changing and adapting to the user in the moment and over time. For these features, Lark provides a just in time adaptive intervention (JITAI).
Lark works as a just-in-time adaptive intervention (JITAI), providing interactive counseling through a chat-style interface. The app prompts users to self-monitor, set goals, review them, provides feedback, and social support.
Other Names:
  • Lark
Active Comparator: MyFitnessPal (no JITAI)
Participants in the control arm will be assigned to use MyFitnessPal. Similar to the intervention arm, they will be instructed to use the app for 12 weeks. MyFitnessPal does not include JITAI components, but allows users to keep track of their caloric intake and energy expenditure. MyFitnessPal has features that can be associated with effective behavior change techniques, including: self-monitoring of behavior and outcomes, goal setting and feedback (similar to Lark). In MyFitnessPal, social support is limited to comments and 'likes' from friends of its restricted user community, therefore tackling the techniques of "social comparisons" and "social reward".
MyFitnessPal (MFP) is a calorie counting app, which relies on user input for food tracking, but automatically tracks activity through the phone or through integrations with wearable devices. This app provides allows to set weight and caloric goals, review them and to receive feedback, but it has limited social support, a feature that is generally lacking in calorie-counting apps.
Other Names:
  • MyFitnessPal

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Weight change (kg)
Time Frame: Baseline, 4, 8, 12 weeks
Absolute change in weight (kg)
Baseline, 4, 8, 12 weeks
Waist circumference change (cm)
Time Frame: Baseline, 12 weeks
Absolute change in waist circumference (cm)
Baseline, 12 weeks
BMI change (kg/m^2)
Time Frame: Baseline, 4, 8, 12 weeks
Absolute change in BMI (kg/m^2)
Baseline, 4, 8, 12 weeks
Physical activity change (self-reported - IPAQ-SF, MET-hours/week)
Time Frame: Baseline, 12 weeks
Measured through the International Physical Activity Questionnaire, short form (IPAQ-SF). IPAQ-SF requires respondents to estimate how much time they spent while doing activities in the previous week, in four domains: vigorous or moderate physical activity, walking and sitting. A total physical activity score is calculated by summing the time spent in each domain. Total physical activity score and sub-domain scores can be expressed in hours/week, or converted to metabolic-equivalents (METs), following the IPAQ scoring protocol.
Baseline, 12 weeks
Physical activity change (automatically tracked - steps/week)
Time Frame: Baseline, 4, 8, 12 weeks
Through mobile phone accelerometer.
Baseline, 4, 8, 12 weeks
Dietary caloric intake change
Time Frame: Baseline, 12 weeks
Automated Self-Administered 24-hour (ASA24) Dietary Assessment Tool, version 2016, developed by the National Cancer Institute, Bethesda, MD. The multiple pass approach in 24-hour recall consists of 8 modules: a meal based quick list, meal gap review, detail pass, final review, forgotten foods, last chance, usual intake question and supplements module. It provides a detailed assessment of dietary intake over the past 24 hours including food, drinks and supplements, as well as timing, form, portion size, the way food has been prepared, consumption of additions such as sugar, cream, dressing, etc., in addition to the source/brand of food. The 2016 version of the system includes also pictures of portions which are deemed to reduce overestimation or underestimation of food intake.
Baseline, 12 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Adherence
Time Frame: 4, 8, 12 weeks
Number of missing data within each of the surveys.
4, 8, 12 weeks
Rate of Recruitment and Retention
Time Frame: 4, 8, 12 weeks
Number of participants who were recruited, enrolled, successfully completed the study, and/or dropped out.
4, 8, 12 weeks
Program acceptability
Time Frame: 4, 8, 12 weeks
Qualitative acceptability feedback related to the program will be collected at each data point through open-ended questions ("Do you have any concerns about the study procedures? Write a comment in the field below"; "Do you have any concerns about the app you have used? Write a comment in the field below"; "Do you have any concerns about the questionnaires? Write a comment in the field below")
4, 8, 12 weeks
Satisfaction with the program
Time Frame: 12 weeks
7-point rating scale (semantic differential) ranging from extremely satisfied to extremely dissatisfied. An open-ended question will give participants the option to elaborate on their response.
12 weeks
Perceived app quality change (uMARS scale)
Time Frame: 4, 12 weeks
App quality will be assessed through the user version of the Mobile App Rating Scale - uMARS. The uMARS scale provides a measure of app quality based on the average of four sub-domains: engagement, functionality, aesthetics, and information. Each of the sub-domains is based on the average value of multiple items, assessed through 5-point Likert scales (engagement: 5 items; functionality and information: 4 items; aesthetics: 3 items). The uMARS includes also 4 items that are aimed to address a subjective quality domain, which are: Would you recommend this app to people who might benefit from it? How many times do you think you would use this app in the future if it was relevant to you? Would you pay for this app? What is your overall star rating of the app?
4, 12 weeks
Motivation to lose weight change (S-weight scale)
Time Frame: Baseline, 12 weeks
Stages of change (S-Weight) scale.
Baseline, 12 weeks
Motivation to lose weight change (P-weight scales)
Time Frame: Baseline, 12 weeks
Processes of change (P-Weight) scale.
Baseline, 12 weeks
Treatment Self-Regulation Questionnaire change (TSRQ scale)
Time Frame: Baseline, 4, 8, 12 weeks
TSRQ measures the motivation to participate in the program. The TSRQ scale includes autonomous and controlled regulation subscales.
Baseline, 4, 8, 12 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Marco Bardus, PhD, American University of Beirut Medical Center

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 5, 2018

Primary Completion (Actual)

July 30, 2018

Study Completion (Actual)

July 30, 2018

Study Registration Dates

First Submitted

October 11, 2017

First Submitted That Met QC Criteria

October 21, 2017

First Posted (Actual)

October 25, 2017

Study Record Updates

Last Update Posted (Actual)

January 14, 2019

Last Update Submitted That Met QC Criteria

January 10, 2019

Last Verified

January 1, 2019

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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