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ExpoApp: An integrated system to assess multiple personal environmental exposures
David Donaire-Gonzalez1, Antònia Valentín2, Erik van Nunen3
1ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain; Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology (EEPI), Utrecht University, Utrecht, the Netherlands.
A new smartphone app, ExpoApp, reliably measures individual environmental exposures like ultrafine particles and green space contact. This tool aids in understanding how environmental factors impact disease development.
Area of Science:
- Environmental Health Sciences
- Epidemiology
- Mobile Health (mHealth)
Background:
- Assessing individual-level environmental exposures requires innovative methods and tools.
- Smartphone technology offers a platform for developing novel exposure assessment systems.
Purpose of the Study:
- To develop and evaluate ExpoApp, a smartphone-based system for individual environmental exposure assessment.
- To measure time spent in microenvironments, physical activity, and exposure to ultrafine particles (UFP).
Main Methods:
- ExpoApp integrates smartphone sensors (GPS, accelerometer), portable monitors, GIS, and user information.
- A panel study of 158 adults across five European cities deployed ExpoApp alongside reference tools (accelerometer, activity diary).
- System reliability and validity were assessed by comparing failure rates and agreement on microenvironment time and physical activity levels.
Main Results:
- ExpoApp demonstrated high agreement with reference tools for time in microenvironments (86.6%) and physical activity (75.7%).
- Participants inhaled an average of 16.5 × 10^10 UFP particles/day, with limited green space contact.
- Increased green space contact correlated with higher UFP inhalation, except in the Netherlands.
Conclusions:
- ExpoApp is a reliable and accurate system for individual environmental exposure assessment.
- The system's measurements can advance understanding of environmental exposures in disease etiology.
- This mHealth approach facilitates large-scale environmental health research.
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