Data
Year of publication
2020
Type
Quantitative
Design
Cross-sectional
Classification
NOVA
Country studied
Brazil
Data
Secondary
Data Collected
Two food records
Study setting
Household
Age group of participant
All ages/9+
Participant sex
Mixed
Target population
General
Sample size
n= 55,970 (households), n=32,746 (individuals)
Reducing ultra-processed foods and increasing diet quality in affordable and culturally acceptable diets: a study case from Brazil using linear programming
Goal
Design culturally acceptable and healthy diets with reduced energetic share of ultra-processed foods (UPF%) at no cost increment and to evaluate the impact of the change in the UPF% on diet quality.
Results
The mean populaiton UPF% was 23.8% - the lowest was 10%. The optimised diet cost was up to 20% cheaper than observed cost, depending on model and income level. The optimised diets had reduced UPF% and increased amounts of fruits, vegetabels, beans, tubers, dairy products, nuts, fibre, K, Mg, and vitamins A and C.
Authors
Verly-Jr E, Pereira Ada S, Marques ES, Horta PM, Canella DS, Cunha DB.
Journal
British Journal of Nutrition
DOI