Using geospatial technologies to explore activity-based retail food environments.

Area of Science:

• Public Health
• Environmental Health
• Nutritional Epidemiology

Background:

• Previous research links neighborhood food environments to health outcomes like obesity.
• Studies often rely on residential proximity, potentially misrepresenting individual exposure.
• A gap exists in understanding how daily movement patterns shape food access.

Purpose of the Study:

• To compare food environments derived from residential neighborhoods versus daily activity spaces.
• To investigate associations between personal characteristics and activity-based food environments.
• To examine relationships between diet, food purchasing, and activity-based food environments.

Main Methods:

• Recruited 121 participants providing three days of Global Positioning System (GPS) tracking data.
• Calculated food environment metrics within a half-mile radius of GPS-tracked activity spaces.
• Administered surveys on personal characteristics, diet, and food purchasing behaviors.

Main Results:

• Significant differences were found between activity-based and neighborhood-based food environments.
• Personal characteristics showed notable associations with activity-based food environment measures.
• Dietary intake, food purchasing patterns, and obesity correlated with specific activity-based food environment metrics.

Conclusions:

• Daily activity spaces provide a more nuanced view of food environments than traditional neighborhood definitions.
• Individualized food environment exposure is linked to personal characteristics, diet, and obesity.
• Future interventions should consider dynamic activity spaces for effective public health strategies.