A Wearable mHealth Device to Promote Teenagers' Physical Activity

Physical Activity

Due to disparities in childhood obesity, interventions for physical activity promotion and obesity prevention for low socioeconomic and racial/ethnic minority children and adolescents are vital to address disparities across the lifespan. Mobile health applications (mHealth apps) are a rapidly growing and promising approach for interactive and individualized interventions for disease prevention. Smart phones are a promising platform to reach racial/ethnic minority and lower income groups due to high rates of adoption of smart phone usage among these groups When paired with wearable sensing devices, mHealth apps for smart phones can collect data and provide feedback to users in real time. In a study among university students regarding mHealth apps, participants expressed interest in the ability to record and track behaviors and goals and the ability to acquire advice and information 'on the go'. For physical activity in particular, wearable physical activity monitors designed for consumers that objectively measure and display data related to an individual's physical activity on smart phones through mHealth apps have become widely available and affordable. These wearable devices wirelessly upload data and provide users with physical activity data visualization and goal setting features that can be customized for each user via internet-based applications for smart phones, tablets, and/or computers. While several internet-based behavioral programs to promote pediatric physical activity have been reported in a recent review, none examined wearable sensing devices coupled with mHealth apps. Similarly, a 2013 review on mHealth technologies for physical activity assessment and promotion reported no studies that used wearable sensing devices for intervention delivery and called for research to evaluate feasibility. The Primary Goal is to conduct a pilot randomized controlled trial (RCT) of the FitBit Flex, a popular wearable physical activity sensing device that allows data visualization and goal setting on smart phones. The target population will be adolescents ages 14-18 years old in the Seattle-metro area (n=40) with approximately 50% from low income households or belonging to a racial/ethnic minority. We will target this older age group since they have the lowest levels of physical activity among the pediatric population. This pilot study will provide feasibility and preliminary data for a future R01-funded RCT of the Flex mHealth device and app.

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United States