An interventional study of Full LIITA3H App and Partial LIITA3H App in Overweight and Obesity, sponsored by University of Michigan. Completed at 1 site in United States. Open to participants aged 13 Years to 17 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2022-11-14.
Sponsored by University of Michigan · Not applicable, Interventional, and Other
The goal of this project is to test whether the mobile application helps Black adolescents make healthy food choices at the point of purchase.
The epidemic of excess weight in childhood is impacted by exposure to, and consumption of, fast food and calorie dense foods prepared outside of the home. Black youth are more likely than their peers to live in communities with a high density of fast food restaurants. There is a need for interventions to help adolescents make healthy choices in these obesogenic environments.
Previous research revealed that adolescents welcomed health-related text messages (based on Self Determination Theory and Motivational Interviewing) if they viewed them as personally relevant and if they were received at times when they faced dietary choices. Based on these findings, the following is hypothesized: that delivering messages (tailored to users' preferences and values) at a time and place when they are making a dietary choice (e.g., in a restaurant) will positively influence their choices.
Thus, the Location Initiated Individualized Texts for African American Adolescent Health (LIITA3H) mobile application was developed. This app identifies when users were in a restaurant, automatically sends culturally relevant messages (based on focus group input from the target population) tailored to user preferences and the menu options at their location with the aim of prompting users to make a healthy choice, and allows users to submit an annotated photo response about their food choice.
For this R21 project the following will be achieved: 1) the LIITA3H app will be enhanced by incorporating user input regarding its design and by allowing greater automation in the identification of eating venues, and 2) the impact of the app on the number of visits by users to restaurants, and on the number of calories users consume from these venues will be tested. This will provide data regarding effect size and will form the foundation for a large randomized trial in a larger population and including a greater range of eating venues. A better understanding of how 'just in time" personalized cues to action, made possible by new location-based technology, might alter behavior among a high risk population, will help future efforts to address obesity and other illnesses impacted by lifestyle choices.
As of 2020, due to the influence of the public health emergency, lockdowns prevented any participants from engaging in going to restaurants as they previously would have. Due to the trial beginning in November 2019, no six month app based data was acquired before the lockdown, and research limitations were imposed. When behavioral research of this type was allowed to resume, months later, a very limited time remained before the funded study would have to end. Thus, certain aspects of the protocol and intervention were modified. To be pragmatic under these constrained circumstances, for new participants, the intervention was shortened from 6 months to 1 month. As behavioral change takes longer to be achieved, the 1 month abbreviated trial focused on exploring the functionality of the app to lay the groundwork for future studies.
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This study's enrollment of 19 is below the median of 73 across 3,175 interventional studies indexed under Overweight.
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Exclusion Criteria:
-
Participants were given the LIITA3H app, which is a combination product consisting of 3 main features that tracked their visits to fast food restaurants (using the ELI feature), sent tailored text messages to prompt healthy choices when they were in a fast food restaurant (using the POP feature), and allowed them to submit pictures of their food (using the SNAP feature).
Other: Full LIITA3H App
Participants were given the LIITA3H app that tracked their visits to fast food restaurants (using the ELI feature) and they submitted pictures of their food (using the SNAP feature). However, they did not receive tailored text messages.
Other: Partial LIITA3H App
Participants were given the LIITA3H app that tracked their visits to fast food restaurants (using the ELI feature) but they did not receive tailored messages or submit pictures of their food.
Other: LIITA3H Location only
This is the full version of the LIITA3H mobile app that will use the Enhanced Location Identification (ELI) technology to identify when a user is in an eating venue and then deliver culturally and individually tailored point of purchase prompts (POP) to encourage healthy choices and will allow participants to take pictures of the food they purchase using the Self-report of Nutrients with Annotated Photos (SNAP) function.
This is a version of the LIITA3H mobile app that will track participants' location and allow them to submit photos of their food.
This is a version of the LIITA3H mobile app that will only track participants' location.
Visits to Fast Food Restaurants
Change in number of weekly visits to Fast Food Restaurants
Time frame: Over 6 months
Calories Purchased From Fast Food Restaurants
Change in number of calories purchased per week at Fast Food Restaurants
Time frame: After 6 months of app use
Percentage of Times App Identifies Presence in Fast Food Restaurant (FFR)
Percentage of times the app correctly identifies that a participant is in a registered Fast Food Restaurant.
Time frame: Over 6 months
Percentage of Times App Delivers Appropriate Tailored Message
Percentage of times the app delivers a tailored message for a menu item at the Fast Food Restaurant in which the participant is located. (number of times a tailored message is delivered divided by the number of times the app identified that the user was in a Fast Food Restaurant x 100).
Time frame: over 1 month
Participants' Perception of the Experience of Using the App
Participants' perception of the acceptability of the app's content and design via qualitative assessment. While the original intent for this outcome measure was to assess perceptions after 6 months of app use, because of the constraints of COVID, these interviews were primarily performed after a single month in the study.
Time frame: At the completion of at least 1 month in the study
| Milestone | Intervention Group 1 Full LIITA3H App | Control Group 2 Partial LIITA3H App | Control Group 3 LIITA3H Location Only |
|---|---|---|---|
| Started | 7 | 7 | 5 |
| Completed | 7 | 5 | 4 |
| Not completed | 0 | 2 | 1 |
Change in number of weekly visits to Fast Food Restaurants
No measurements were reported for this outcome.
Change in number of calories purchased per week at Fast Food Restaurants
No measurements were reported for this outcome.
Percentage of times the app correctly identifies that a participant is in a registered Fast Food Restaurant.
No measurements were reported for this outcome.
Percentage of times the app delivers a tailored message for a menu item at the Fast Food Restaurant in which the participant is located. (number of times a tailored message is delivered divided by the number of times the app identified that the user was in a Fast Food Restaurant x 100).
| percentage of times | Intervention Group 1 Full LIITA3H App |
|---|---|
| Percentage of Times App Delivers Appropriate Tailored Message | 100 |
Participants' perception of the acceptability of the app's content and design via qualitative assessment. While the original intent for this outcome measure was to assess perceptions after 6 months of app use, because of the constraints of COVID, these interviews were primarily performed after a single month in the study.
| Participants | Intervention Group 1 Full LIITA3H App | Control Group 2 Partial LIITA3H App | Control Group 2 LIITA3H Location Only |
|---|---|---|---|
| Enjoyed Messages | 4 | NA | NA |
| Possible Desire to Continue App Use | 4 | NA | NA |
| Experienced at Least One Difficulty with App Functioning | 5 | 2 | 0 |
Collected over From initial enrollment to last interview; due to COVID -required interruption in research the longest interval between these events was 18 months.. Non-serious events are listed at a 0% frequency threshold.
| Group | Deaths | Serious | Other |
|---|---|---|---|
| Intervention Group 1 Full LIITA3H App | 0/7 (0%) | 0/7 (0%) | 0/7 (0%) |
| Control Group 2 Partial LIITA3H App | 0/7 (0%) | 0/7 (0%) | 0/7 (0%) |
| Control Group 3 LIITA3H Location Only | 0/5 (0%) | 0/5 (0%) | 0/5 (0%) |
| Age, Continuous(years) | Intervention Group 1 Full LIITA3H App | Control Group 2 Partial LIITA3H App | Control Group 3 LIITA3H Location Only | Total |
|---|---|---|---|---|
| Mean | 15 (13 to 17) | 14 (13 to 17) | 15 (13 to 17) | 15 (13 to 17) |
| Sex: Female, Male(Participants) | Intervention Group 1 Full LIITA3H App | Control Group 2 Partial LIITA3H App | Control Group 3 LIITA3H Location Only | Total |
|---|---|---|---|---|
| Female | 6 | 5 | 2 | 13 |
| Male | 1 | 2 | 3 | 6 |
| Ethnicity (NIH/OMB)(Participants) | Intervention Group 1 Full LIITA3H App | Control Group 2 Partial LIITA3H App | Control Group 3 LIITA3H Location Only | Total |
|---|---|---|---|---|
| Hispanic or Latino | 0 | 0 | 0 | 0 |
| Not Hispanic or Latino | 7 | 7 | 5 | 19 |
| Unknown or Not Reported | 0 | 0 | 0 | 0 |
| Race (NIH/OMB)(Participants) | Intervention Group 1 Full LIITA3H App | Control Group 2 Partial LIITA3H App | Control Group 3 LIITA3H Location Only | Total |
|---|---|---|---|---|
| American Indian or Alaska Native | 0 | 0 | 0 | 0 |
| Asian | 0 | 0 | 0 | 0 |
| Native Hawaiian or Other Pacific Islander | 0 | 0 | 0 | 0 |
| Black or African American | 7 | 7 | 5 | 19 |
| White | 0 | 0 | 0 | 0 |
| More than one race | 0 | 0 | 0 | 0 |
| Unknown or Not Reported | 0 | 0 | 0 | 0 |
| Region of Enrollment(participants) | Intervention Group 1 Full LIITA3H App | Control Group 2 Partial LIITA3H App | Control Group 3 LIITA3H Location Only | Total |
|---|---|---|---|---|
| United States | 7 | 7 | 5 | 19 |
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