Improving Nutritional Choices in Adolescents
| Status: | Not yet recruiting |
|---|---|
| Conditions: | Obesity Weight Loss |
| Therapuetic Areas: | Endocrinology |
| Healthy: | No |
| Age Range: | 13 - 17 |
| Updated: | 4/3/2019 |
| Start Date: | April 2019 |
| End Date: | November 30, 2019 |
| Contact: | Susan J Woolford, MD |
| Email: | swoolfor@med.umich.edu |
| Phone: | 7349041455 |
Location Initiated Individualized Texts for African American Adolescent Health
The goal of this project is to test whether the mobile application helps Black adolescents
make healthy food choices at the point of purchase.
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.
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.
Inclusion Criteria:
- Self identification as African American
- BMI at or above 85th percentile
- Eat at fast food restaurants at least 3 times per week at baseline
Exclusion Criteria:
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