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./British Journal of Nutrition

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

DOI