App Proficiency, Behavior, Lifestyle
Conditions
Keywords
Biological age, Wellness app
Brief summary
This non-randomized pilot study program is focused on assessing the technical characteristics of the Aspire2B mobile device application.
Detailed description
Aspire2B is a mobile wellness app that uses non-invasive measurements to predict various physiological states and estimate biological age. Users are then enrolled in nutrition, fitness, or sleep challenges within the app that are aimed at improving overall wellness and thus helping to reduce biological age. Mobile health (mHealth) interventions require numerous decisions that integrate behavioral theory, user feedback, and technical and practical feasibility considerations. The main purpose of this research program is to test if the application works as intended. This pilot study program is managed internally by Pepsico clinical researchers.
Interventions
OTHERNutrition
Interact with mobile app and work toward personalized nutrition goals
OTHERFitness
Interact with mobile app and work toward personalized fitness goals
OTHERSleep
Interact with mobile app and work toward personalized sleep goals
Sponsors
PepsiCo Global R&D
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes
Inclusion criteria
* Fluent in reading and understanding English or Spanish * Smartphone users
Exclusion criteria
* Cannot proceed to onboarding without downloading the app, consenting to participate, and agreeing to app Terms of Use
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Assess the technical characteristics of the app (App proficiency) -Connection | Continuous for up to 6 weeks | Does the app work as intended: Ability to connect wearable devices |
| Assess the technical characteristics of the app (App proficiency) -Face scan age | Continuous for up to 6 weeks | Does the app work as intended: Ability to conduct face scan to provide biological age |
| Assess the technical characteristics of the app (App proficiency) -Face scan stress | Continuous for up to 6 weeks | Does the app work as intended: Ability to conduct face scan to provide stress index |
| Assess the technical characteristics of the app (App proficiency) -Face scan heart rate | Continuous for up to 6 weeks | Does the app work as intended: Ability to conduct face scan to provide heart rate |
| Assess the technical characteristics of the app (App proficiency) -Onboarding | Continuous for up to 6 weeks | Does the app work as intended: Onboarding sequence |
| Assess the technical characteristics of the app (App proficiency) -Goal selection | Continuous for up to 6 weeks | Does the app work as intended: Ability to enter own goal |
| Assess the technical characteristics of the app (App proficiency) -Goal progress | Continuous for up to 6 weeks | Does the app work as intended: Ability to track and measure goal progress (e.g., steps from a wearable device) |
| Assess the technical characteristics of the app (App proficiency) -Points assigned | Continuous for up to 6 weeks | Does the app work as intended: Do points earned reflect what was completed in the app? |
| Assess the technical characteristics of the app (App proficiency) -Wellness scoring | Continuous for up to 6 weeks | Does the app work as intended: Does wellness score change with lifestyle changes as intended? An improved wellness score is better. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Learnings to inform future versions of the app -Retention | Continuous for up to 6 weeks | Exploratory analyses of the data aimed to help to inform clinical trial retention rates |
| Learnings to Inform future versions of the app -Overall engagement | Continuous for up to 6 weeks | Exploratory analyses of the data aimed to help to inform predictors of engagement |
| Learnings to inform changes to future versions of the app -Specific engagement | Continuous for up to 6 weeks | Exploratory analyses of the data aimed at informing engagement with specific app features |
| Learnings to inform changes to future versions of the app - Dietary behaviors | Continuous for up to 6 weeks | Exploratory analyses of the data aimed at informing improvements in self-reported diet behaviors |
| Learnings to inform changes to future versions of the app -Lifestyle behaviors | Continuous for up to 6 weeks | Exploratory analyses of the data aimed at informing improvements in self-reported lifestyle behaviors |
Countries
United States
Contacts
PRINCIPAL_INVESTIGATORTristin Brisbois, PhD, MBS
PepsiCo Global R&D
Outcome results
None listed