PATHS-UP Health Behavior Self-monitoring Mobile App for Adolescents

To test the feasibility and acceptability of a health-based mobile phone application the research team will recruit a sample of Hispanic adolescents (12-18 years; N=30) with overweight and obesity. Once informed consent and youth assent have been collected, youth will be enrolled into the intervention. Investigators will leverage an existing digital monitoring platform consisting of a Bluetooth-enabled weight scale and the mobile health app developed through Apple iOS which provides advanced activity and sleep tracking features, visualizations and trends, and self-reporting functionality. This interface integrates data from the accelerometer embedded within the participant's own smartphone. This accelerometer integrates data including steps and physical activity minutes into the app. Users do not need to sign any agreements with apple or any end user licenses. All data obtained through the app is transmitted to the digital monitoring platform before it is integrated into a REDCap database. Youth will be provided with a remote bluetooth enabled scale which will transmit data into the digital platform. The app provides youth with an AI enabled component to log their daily diet as well as a weekly survey to assess sleep.

A longitudinal, pre-post design will be used to test the 30-day intervention. The investigators will leverage existing collaborations with the Department of Endocrinology at Texas Children's Hospital and an existing network of physicians within the Texas Children's Health Plan and Harris Health Pediatric Clinics. Study flyers will be placed in waiting and exam rooms and physicians in participating clinics will be encouraged to refer eligible patients to the study. The research team will also attend community-wide events such as back to school fairs and food drives at partnering community-based organizations (e.g. Baker Ripley) where the research team will pass out flyers and share study information for attendees. The research team also have a sign up sheet where interested participants can leave their contact information if they would like to receive more information about the study. Lastly, the Children's Nutrition Research Center maintains a volunteer participant registry, which includes youth who have expressed interest in participating in future research projects. Participants within the registry who are eligible will be invited via a phone call to participate in this study. These participants have consented to be contacted for future projects. The research team will also send a text message to interested participants who have consented through the registry or have volunteered their contact information at community events. This text will share a brief information video in English or Spanish to generate interest in the study.

If participants agree to join the study, they will receive information and parental consent and child assent will be obtained prior to any study procedures. Once they join the study, participants will receive an IndieHealth Bluetooth-enabled weight scale and a customized mobile health app and will be asked to conduct daily self-measurement of weight, complete daily educational tasks, and log meals for 30 days. Participants will receive instructions explaining how the accelerometer embedded within their phone will be used to integrate step and sleep data into the health app. Daily motivational and persuasive messages will be sent to participants to assist them in increasing their activity, sleep, and dietary habits towards the recommended national guidelines. Youth will also receive prompts to self-monitor their health behaviors. The messages and content that youth will receive are theory-informed and were previously developed with youth and research experts to ensure that they are theoretically adherent, culturally, and age appropriate.

Feasibility will be examined using research notes and careful documentation of recruitment, data collection, technical issues, engagement, and satisfaction. The acceptability, utility, and engagement with the mobile health platform will be measured using a study-specific, process evaluation questionnaire. This will provide information on the availability of high-risk youth in community clinics willing to participate in a digital health program and the ability to recruit, retain, and engage this population. Careful documentation of technical issues will speak to the feasibility of developing and implementing this type of technology for health promotion and disease prevention purposes.

In addition to feasibility, several outcomes will be assessed including weight, average steps/day, average minutes of sleep/night, and dietary intake as collected through the mobile health app. A remote scale will be used to measure weight, and a self-reported fat, fruit, and vegetable screener (National Cancer Institute) to assess dietary intake. Baseline and post-intervention assessments will be conducted and will consist of a demographic survey to be completed by parents. Motivation for exercise will be measured using a 9-item survey, which has shown acceptable validity and reliability among youth. Following the intervention, youth will be asked to complete a system usability scale to understand the acceptability and feasibility of the app and program from the perspective of the participant.

To further assess acceptability, an exit interview will be conducted with a subsample of participants (N=15) to evaluate the experience and identify barriers and opportunities for further redesigns. This information will also provide guidance on the acceptability of this strategy among this age and ethnic subgroup. In-depth interviews be conducted via a dedicated study line. They will be audio-recorded, transcribed, coded by two trained, independent coders, and qualitatively analyzed using NVivo version 9. Thematic content analysis will be used to identify emergent themes to adapt existing text messages. App related data (weight, steps, sleep, diet) will be monitored including engagement metrics (e.g. participant logins, app usage) and any data transmitted through the app including the food diary, step count, and weight data. All data will be de-identified and will only include a unique participant identifier in the form of a numerical number.

All surveys and assessments will be conducted remotely using secure links generated through REDCap.