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Mapping ultra-processed foods (UPFs) in India: a formative research study.
Suparna Ghosh-Jerath1, Neha Khandpur2, Gaurika Kumar3
1The George Institute for Global Health, 308, Third Floor, Elegance Tower, Plot No. 8, Jasola District Centre, New Delhi, Delhi, 110025, India. SGhosh-Jerath@georgeinstitute.org.in.
BMC Public Health
|August 14, 2024
Summary
Ultra-processed foods (UPFs) consumption is linked to non-communicable diseases (NCDs). This study mapped Indian UPFs, identifying breads, chips, and sugar-sweetened beverages as most popular, to aid policy development for healthier diets.
Area of Science:
- Food Science
- Public Health Nutrition
- Consumer Behavior
Background:
- Increased consumption of ultra-processed foods (UPFs) is associated with diet-related non-communicable diseases (NCDs).
- India lacks standard criteria for identifying UPFs based on industrial processing.
- Existing dietary assessments classify foods by nutrient content, not processing level, hindering UPF identification.
Purpose of the Study:
- To map ultra-processed foods (UPFs) available in the Indian market.
- To scrutinize ingredient lists for ultra-processed components.
- To develop categories and understand consumer preferences for UPFs to inform a UPF screener.
Main Methods:
- Literature review and online grocery retailer scan of food labels.
- Identification and categorization of UPFs based on ingredient analysis.
- Saliency analysis to determine consumer preferences for different UPF categories.
Main Results:
- A uniform definition for UPFs is lacking in India, with terms like 'junk food' and 'packaged food' used interchangeably.
- An online scan identified 81 UPF items across 23 categories, including packaged traditional recipes.
- Breads, chips, and sugar-sweetened beverages were the most preferred UPFs, while frozen ready-to-eat/cook items were least preferred.
Conclusions:
- India requires a systematic food classification system based on industrial processing levels.
- Mapping UPFs is crucial for developing a screener to collect consumption data.
- This data can inform policy and regulations to address the impact of UPFs on NCDs.

