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Investigating the Role of the Environment on Physical Activity Interventions (the InSPACE Project): Protocol for a
Amy J Youngbloom1, Maya Rowland2, Stephen J Mooney1
1Department of Epidemiology, School of Public Health, University of Washington, 3980 15th Ave NE, Seattle, WA, 98195, United States, 1 2065431065.
The InSPACE study examines how neighborhood environments influence physical activity (PA) interventions. This research pools data to understand environmental moderators of PA, informing future public health strategies.
Area of Science:
- Public Health
- Environmental Science
- Behavioral Science
Background:
- Physical activity (PA) interventions aim to increase activity levels, but their effectiveness may be influenced by neighborhood environmental factors.
- Previous research has lacked the scope to fully assess the role of neighborhood attributes like walkability, crime, and greenspace on PA intervention outcomes.
Purpose of the Study:
- To assess the moderating effect of neighborhood attributes on interventions designed to increase physical activity.
- To create a harmonized dataset from multiple lifestyle intervention trials for comprehensive environmental analysis.
Main Methods:
- The Interventions Supporting Physical Activity and the Environment (InSPACE) study utilized the Automatic Context Measurement Tool (ACMT) to collect environmental data.
- Demographic, device-based activity (accelerometry), and ACMT-generated environmental data were pooled and harmonized from US-based PA intervention trials.
Main Results:
- As of August 2025, 39 PA intervention trials were recruited, with data from 31 trials processed, creating a pooled dataset of 4471 participants.
- A significant portion (97.5%) of participants have linked environmental data, and nearly half (49.4%) have accelerometry data for baseline and post-intervention assessment.
Conclusions:
- The InSPACE study will elucidate the role of the environment in modulating the effectiveness of PA interventions.
- The established protocols for data harmonization and analysis in InSPACE can guide future large-scale research projects.
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