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Data

Year of publication

2020

Kind

Quantitative

Design

Cross-sectional

Classification

NOVA

Country studied

Brazil

Data

Secondary

Data collected

Two food records

Study setting

Household

Age group of participants

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.

Log

British Journal of Nutrition

DOIs

Département de Nutrition, Faculté de Médecine, Université de Montréal

2405 Chem. de la Côte-Sainte-Catherine, Montréal, QC H3T 1A8
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