ClinicalTrials.gg
CompletedNCT03321331WaznAppUpdated Jan 14, 2019

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

An interventional study of Lark (JITAI) and MyFitnessPal (no JITAI) in Body Weight Changes, Overweight and Obesity and Sedentary Lifestyle, sponsored by American University of Beirut Medical Center. Completed at 1 site in Lebanon. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2019-01-14.

Sponsored by American University of Beirut Medical Center · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
123
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

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).

Read the 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.

02

Conditions studied

  • Body Weight Changes
  • Overweight and Obesity
  • Sedentary Lifestyle
  • Health Behavior

Keywords

  • Mobile Health
  • mobile apps
  • weight control
  • weight management
  • self-directed intervention
  • behavioral intervention
03

In context

Body Weight Changes

231 studies on the registry are indexed under Body Weight Changes; 30 are open to participants now.

This study's enrollment of 123 is above the median of 80 across 179 interventional studies indexed under Body Weight Changes.

Browse Body Weight Changes studies →

Lead sponsor

American University of Beirut Medical Center is the lead sponsor of 158 studies on the registry; 24 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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

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).
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
123 participants (actual)

Study arms

  • 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).

    Combination Product: Lark (JITAI)

  • 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".

    Combination Product: MyFitnessPal (no JITAI)

Interventions

  • Combination productLark (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.

    Also known as: Lark

  • Combination productMyFitnessPal (no JITAI)

    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.

    Also known as: MyFitnessPal

06

What researchers measure

Primary outcomes

  1. Weight change (kg)

    Absolute change in weight (kg)

    Time frame: Baseline, 4, 8, 12 weeks

  2. Waist circumference change (cm)

    Absolute change in waist circumference (cm)

    Time frame: Baseline, 12 weeks

  3. BMI change (kg/m^2)

    Absolute change in BMI (kg/m\^2)

    Time frame: Baseline, 4, 8, 12 weeks

  4. Physical activity change (self-reported - IPAQ-SF, MET-hours/week)

    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.

    Time frame: Baseline, 12 weeks

  5. Physical activity change (automatically tracked - steps/week)

    Through mobile phone accelerometer.

    Time frame: Baseline, 4, 8, 12 weeks

  6. Dietary caloric intake change

    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.

    Time frame: Baseline, 12 weeks

Secondary outcomes

  1. Adherence

    Number of missing data within each of the surveys.

    Time frame: 4, 8, 12 weeks

  2. Rate of Recruitment and Retention

    Number of participants who were recruited, enrolled, successfully completed the study, and/or dropped out.

    Time frame: 4, 8, 12 weeks

  3. Program acceptability

    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")

    Time frame: 4, 8, 12 weeks

  4. Satisfaction with the program

    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.

    Time frame: 12 weeks

  5. Perceived app quality change (uMARS scale)

    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?

    Time frame: 4, 12 weeks

  6. Motivation to lose weight change (S-weight scale)

    Stages of change (S-Weight) scale.

    Time frame: Baseline, 12 weeks

  7. Motivation to lose weight change (P-weight scales)

    Processes of change (P-Weight) scale.

    Time frame: Baseline, 12 weeks

  8. Treatment Self-Regulation Questionnaire change (TSRQ scale)

    TSRQ measures the motivation to participate in the program. The TSRQ scale includes autonomous and controlled regulation subscales.

    Time frame: Baseline, 4, 8, 12 weeks

07

Study locations

1 site
  • AUB Health & Wellness Center
    Beirut, Lebanon
08

References and documents

Publications

  • Bardus M, Hamadeh G, Hayek B, Al Kherfan R. A Self-Directed Mobile Intervention (WaznApp) to Promote Weight Control Among Employees at a Lebanese University: Protocol for a Feasibility Pilot Randomized Controlled Trial. JMIR Res Protoc. 2018 May 16;7(5):e133. doi: 10.2196/resprot.9793. PubMed 29769174 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Undecided

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Mar 2018 to primary completion in Jul 2018, 4 months.

Of 90 non-industry interventional studies with no phase under Body Weight Changes, half reached primary completion within 12 months of starting (the median), counting those still running; a quarter within 5 and three quarters within 28. This study's 4 months is below that.

Counting every sponsor, half of 99 studies reached it within 12 months; a quarter within 5 and three quarters within 27.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 11, 2017
First posted
Oct 25, 2017
StartActual
Mar 5, 2018
Primary completionActual
Jul 30, 2018
CompletionActual
Jul 30, 2018
Last update
Jan 14, 2019
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jan 14, 2019, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03321331
Responsible party
Marco Bardus (Assistant Professor, American University of Beirut Medical Center) — Principal investigator
First posted
Oct 25, 2017
Start date
Mar 5, 2018
Primary completion
Jul 30, 2018
Completion
Jul 30, 2018
Last update
Jan 14, 2019

Study contacts

Marco Bardus, PhD
principal investigator · American University of Beirut Medical Center

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jan 2019. You cannot join it, but the record below documents what was studied.

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