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The SMART Study, a Mobile Health and Citizen Science Methodological Platform for Active Living Surveillance,
Tarun Reddy Katapally1,2,3, Jasmin Bhawra4, Scott T Leatherdale4
1Johnson Shoyama Graduate School of Public Policy, University of Regina, Regina, SK, Canada.
The SMART Study developed a mobile platform using citizen scientists to track physical activity and sedentary behavior. Findings highlight urban design and pets as facilitators, and work screen time as a barrier to active living.
Area of Science:
- Public Health
- Digital Health
- Citizen Science
Background:
- Physical inactivity is a global health crisis, contributing to significant healthcare costs.
- Traditional approaches to combating inactivity are insufficient.
- Ubiquitous technologies like smartphones can be repurposed to engage citizens in promoting active living.
Purpose of the Study:
- To develop a mobile and citizen science platform for active living surveillance, knowledge translation, and policy interventions (Saskatchewan, let's move and map our activity - SMART Study).
- To enumerate the conceptualization, design, implementation, data collection, and analytical strategies of the SMART Study platform.
- To assess the platform's potential for informing policy interventions.
Main Methods:
- A longitudinal, mixed-methods investigation involving citizen scientists over three years across four seasons.
- Recruitment of 317 adult citizen scientists who used a custom smartphone app (Ethica) for 8 days.
- Collection of objective (sensor-based) and subjective (validated surveys, geo-coded pictures, audio files) data on physical activity, sedentary behavior, motivation, environment perception, and well-being.
Main Results:
- Community voices (pictures, audio) identified intrinsic/extrinsic motivations, social contexts, and environment as key factors.
- Pets and favorable urban design emerged as significant facilitators of active living.
- Work-related screen time was identified as the primary barrier to physical activity.
Conclusions:
- The SMART Study platform demonstrated flexibility in identifying and addressing limitations using empirical evidence.
- Successful implementation of a participant-engaging platform to catalyze policy interventions.
- The platform, initially for surveillance, can be adapted for remote active living interventions, representing a novel approach to behavioral data capture for policy.
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