Improving data accuracy of commercial food outlet databases

Area of Science:

• Public Health
• Nutrition Science
• Environmental Health

Background:

• Assessing food environments often relies on commercial databases.
• Existing databases use varied methods for classifying food outlets.
• A standardized approach is needed to accurately represent food environments.

Purpose of the Study:

• To describe a systematic strategy for reclassifying food outlets from commercial databases.
• To categorize food stores and restaurants based on healthy food availability.
• To improve the accuracy of food environment assessments in public health research.

Main Methods:

• Obtained commercial food outlet data for five New Jersey communities.
• Developed a reclassification methodology using literature-based criteria.
• Supplemented database information with internet searches and phone calls.

Main Results:

• Reclassification significantly altered outlet counts, notably decreasing supermarkets/grocery stores and increasing convenience/limited-service restaurants.
• The revised classification indicated a less healthy food environment compared to original database categorizations.
• Specific reclassification examples: supermarkets/grocery stores reduced, convenience stores tripled, limited-service restaurants doubled.

Conclusions:

• An explicit and replicable strategy for reclassifying food outlets in commercial databases was proposed.
• This methodology differentiates outlets based on healthy food availability.
• Aims to foster consensus on definitions for characterizing food outlets in public health research.