PATHS-UP Health Behavior Self-monitoring Mobile App for Adolescents
PATHS-UP
Investigating the Efficacy of Mobile Health Monitoring and Self-care to Improve Obesity Outcomes in Hispanic Adolescence Populations
1 other identifier
interventional
30
1 country
1
Brief Summary
Hispanic adolescents in the U.S. are disproportionately burdened by type 2 diabetes (T2D) compared to non-Hispanic white youth (0.079% vs. 0.017%) contributing to higher rates of T2D-related vascular complications, cardiovascular disease, and mortality, among this population. Disparities in T2D are driven in part by independent, modifiable risk factors including low levels of physical activity, sleep, and poor diet. Lifestyle interventions are the cornerstone for maintaining glucose control and managing T2D. However, few studies have developed and tested lifestyle interventions for Hispanic youth with T2D. Digital health interventions that promote healthy lifestyle behaviors like physical activity, sleep, and diet, have demonstrated effectiveness among adults. Studies that use health-based smartphone applications have demonstrated preliminary efficacy for improving health-related lifestyle behaviors as these digital tools leverage behavior change techniques (e.g. self-monitoring, goal-setting, feedback) that have proven effective. Use of digital technology allows for the continuous delivery of intervention content into the home environment extending the reach of clinical care while engaging youth in a format that is age-appropriate given that today's youth are digital frontrunners. Unfortunately, while the use of digital health interventions have increased, few studies have focused on adolescents with overweight and obesity who are at high risk for T2D. The purpose of this study is to 1) develop a mobile health platform for remote and continuous monitoring of activity, sleep, and nutrition and 2) conduct a pilot study (30 days) to evaluate the efficacy of a novel digital health platform in improving obesity-related health outcomes outcomes in Hispanic adolescents (12-18 years; N=30) population.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Apr 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 14, 2025
CompletedStudy Start
First participant enrolled
April 30, 2025
CompletedFirst Posted
Study publicly available on registry
May 7, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2026
CompletedMarch 4, 2026
March 1, 2026
1 year
April 14, 2025
March 2, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (5)
Rate of Recruitment
The rate of recruitment will be assessed to determine the feasibility of the research team's ability to recruit the target sample (N=30).
From enrollment to the end of the 30 day study.
Feasibility of Technology
The number of technical issues reported by participants or the research team will be documented throughout the intervention.
through study completion, an average of 30 days
Usability
The system usability scale will be used to assess feasibility. Scores using this tool range from 0 to 100, with a higher score will indicating higher usability.
At the end of the 30 day study.
Acceptability
Acceptability will be assessed using an exit survey. The research team will use a Likert scale to assess the acceptability of various components of the study including the mobile phone app interface, content, etc. A higher score will indicate greater satisfaction.
At the end of the 30 day study.
Acceptability
To assess acceptability, the research team will also use an exit interview to gather more in-depth perspectives on the mobile phone application, the content, and the participant's experience using the app to improve health behaviors. These interviews will be analyzed using thematic content analysis.
at the end of the 30 day study
Secondary Outcomes (4)
Health beliefs
From enrollment to the end of the 30 day study.
Autonomous Motivation
From enrollment to the end of the 30 day study.
Diet
From enrollment to the end of the 30 day study.
Physical activity
From enrollment to the end of the 30 day study.
Other Outcomes (1)
Sleep
baseline, weekly through the 30 day intervention, and at post-intervention
Study Arms (1)
Mobile App
EXPERIMENTALYouth in the intervention will be given access to a health-based mobile phone application and a remote bluetooth scale. The app is focused on promoting health education and self-monitoring. For 30 days youth will be asked to engage with content focused on promoting healthy sleep, physical activity, and dietary habits every day. Youth will also be asked to self-monitor health behaviors using the app as it pulls in data on daily steps from the accelerometer embedded within the smartphone, information on weight from daily weigh-ins using the remote scale, sleep via weekly surveys within the app, and caloric intake using a daily food log that is powered through artificial intelligence within the app.
Interventions
Youth in the intervention will be given access to a health-based mobile phone application and a remote bluetooth scale. The app is focused on promoting health education and self-monitoring. For 30 days youth will be asked to engage with content focused on promoting healthy sleep, physical activity, and dietary habits every day. Youth will also be asked to self-monitor health behaviors using the app as it pulls in data on daily steps from the accelerometer embedded within the smartphone, information on weight from daily weigh-ins using the remote scale, sleep via a weekly survey within the app, and caloric intake using a daily food log that is powered through artificial intelligence within the app.
Eligibility Criteria
You may qualify if:
- self-identify as Hispanic or Latino
- years
- BMI% in the 85th-95th range,
- Owns their own iphone
You may not qualify if:
- Currently enrolled in a health program
- Diagnosed with T2D
- Present with a disease or condition that would prevent one from engaging in activity
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Baylor College of Medicinelead
- U.S. National Science Foundationcollaborator
Study Sites (1)
Children's Nutrition Research Center
Houston, Texas, 77003, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
April 14, 2025
First Posted
May 7, 2025
Study Start
April 30, 2025
Primary Completion
May 1, 2026
Study Completion
May 1, 2026
Last Updated
March 4, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share
We will share anonymous data through our institutional data registry.