Data
Year of publication
2019
Kind
Mixed-Method
Design
Cross-sectional
Classification
NOVA, Other (International Food Information Council, University of North Carolina at Chape Hill)
Country studied
United Kingdom, Portugal, Ireland, Germany and France
Data
Secondary
Data collected
Two 24 hours recalls, database, literature
Study setting
Household and laboratory
Age group of participants
Children/6-12
Participant sex
Mixed
Target population
Vulnerable (children)
Sample size
n=8661 (participants)
Robustness of food processing classification systems.
goal
Evaluate the robustness of processing classification systems and to assess their utility as a measure of healthfulness in children's diets.
Results
UNC had the highest inter-rater reliability (_ = 0.97), followed by IFIC (_ = 0.78) and Nova (_ = 0.76). Lower potassium was predictive of IFIC’s classification of foods as moderately compared to minimally processed (p = 0.01); lower vitamin D was predictive of UNC’s classification of foods as highly compared to minimally processed (p = 0.04). Sodium and added sugars were predictive of all systems’ classification of highly compared to minimally processed foods (p < 0.05). Current classification systems may not suciently identify foods with high nutrient quality commonly consumed by children in the U.S.
Authors
Bleiweisis-Sande R, Chui K, Evans EW, Goldberg J, Amin S, Sacheck J.
Log
Nutrients
DOIs