The Effect of an mHealth Intervention on Physical Activity and Nutrition: the FutureMe Trial

Annette Mönninghoff

Status: Completed

Conditions: Healthy

Treatments: Behavioral: FutureMe App; Behavioral: Conventional TrackingApp

Study type: Interventional

Funder types: Other

Identifiers

NCT04505124

FSA2020

Details and patient eligibility

About

This study is a randomized controlled trial (RCT) which investigates the effect of a Future-Self Avatar intervention (FutureMe App) on physical activity (PA) and nutrition. The Health Action Process Approach (HAPA) and principles from consumer behavior theory were used to guide the development of the intervention.

The study investigates the impact of avatar-based interventions on PA and food purchasing behavior and aims to understand if avatars can help increase the stand-alone effectiveness of mHealth interventions.

Full description

Consumer behavior is a key determinant for chronic disease risk. Mobile health (mHealth) technologies are promising in addressing the rise in risky lifestyle behaviors, as they can be leveraged in large population samples without high human resource or monetary requirements. However, research shows that mHealth technologies are less effective when used stand-alone, meaning without intervention components that require human to human interaction. Leveraging virtual reality in mHealth applications could help increase their stand-alone effectiveness.

Building on behavioral biases, and the health-action-process approach (HAPA), this trial investigates the use of a future-self avatar smartphone intervention (FutureMe app) on consumers' physical activity and food purchasing behavior. A 12-week field experiment aims to show that avatar-based health applications can support behavior change towards more active lifestyles and healthier food choices.

The FutureMe trial has the following objectives:

1. To understand if avatar-based applications are more effective in promoting physical activity and improving food purchasing behavior compared to conventional tracking applications.
2. To understand if providing individualized shopping tips promotes self-efficacy.
3. To understand if providing consequential health behavior feedback increases behavior- related control over future health (outcome expectancy).
4. To understand if avatar-based applications increase intrinsic motivation compared to conventional health-tracking applications.
5. To understand if self-efficacy, outcome expectancy, user engagement or specific types of motivation moderate the effect on PA and foor purchasing.

The study participants recruitment process is supported by a large Swiss health insurance company. The insurer only provides access to potential study participants and is not involved in the design or execution of the study. The insurer has no access to participant study data. Participants are randomized into two groups and either receive the innovative FutureMe intervention or a control intervention consisting of a more conventional nutrition and physical activity tracking app (numeric feedback). Participants will download the respective apps to their personal mobile phone.

Step counts and food purchasing data is collected continuously throughout the trial. The respective psychological constructs (see outcome overview) are collected at baseline and after 12 weeks (end of intervention) via an online questionnaire.

The results of this study enable the evidence-based development of scalable interventions for sustainable physical activity and nutrition behavior change and advance the understanding of the psychological processes behind health behavior change.

Enrollment: 95 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

• Living in Switzerland
• German speaking
• Participating in at least one grocery loyalty program (Migros Cumulus and/or Coop SuperCard)
• Apple or Android smartphone
• Healthy (self-declaration)

Exclusion Criteria

• <18 years
• Increasing PA or adjusting nutrition creates health risk (e.g. diabetic)
• Not living in Switzerland
• Not German speaking
• Not using a grocery loyalty card

Trial design

Primary purpose: Prevention

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Quadruple Blind

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95 participants in 2 patient groups

FutureMe

Experimental group

Description:

Participants use the FutureMe app for 12 weeks. The app has the following functionality: * Opportunity to personalize one's avatar * Tracking of PA (steps) and nutrition (purchasing behavior at food retailers) * Feedback on health behaviors represented through a Future-self avatar (consequential and visual feedback) * Individualized shopping tipps

Treatment:

Behavioral: FutureMe App

Control

Active Comparator group

Description:

Participants use the a control app for 12 weeks. The control app has the following functionality: * Tracking of PA (steps) and nutrition (purchasing behavior at food retailers) * Feedback on health behaviors represented through conventional dashboards (numeric \& text feedback) * Individualized shopping tipps

Treatment:

Behavioral: Conventional TrackingApp