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Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study

Authors :
Francine Silva dos Santos
Eurídice Martinez Steele
Caroline dos Santos Costa
Kamila Tiemman Gabe
Maria Alvim Leite
Rafael Moreira Claro
Mathilde Touvier
Bernard Srour
Maria Laura da Costa Louzada
Renata Bertazzi Levy
Carlos Augusto Monteiro
Source :
Public Health Nutrition, Vol 26, Pp 2366-2373 (2023)
Publication Year :
2023
Publisher :
Cambridge University Press, 2023.

Abstract

Abstract Objective: To assess the prospective association of two diet quality scores based on the Nova food classification with BMI gain. Design: The NutriNet-Brasil cohort is an ongoing web-based prospective study with continuous recruitment of participants aged ≥ 18 years since January 2020. A short 24-h dietary recall screener including ‘yes/no’ questions about the consumption of whole plant foods (WPF) and ultra-processed foods (UPF) was completed by participants at baseline. The Nova-WPF and the Nova-UPF scores were computed by adding up positive responses regarding the consumption of thirty-three varieties of WPF and twenty-three varieties of UPF, respectively. Participants reported their height at baseline and their weight at both baseline and after approximately 15 months of follow-up. A 15-month BMI (kg/m2) increase of ≥5 % was coded as BMI gain. Setting: Brazil. Participants: 9551 participants from the NutriNet-Brasil cohort. Results: Increasing quintiles of the Nova-UPF score were linearly associated with higher risk of BMI gain (relative risk Q5/Q1 = 1·34; 95 % CI 1·15, 1·56), whereas increasing quintiles of the Nova-WPF score were linearly associated with lower risk (relative risk Q5/Q1 = 0·80; 95 % CI 0·69, 0·94). We identified a moderate inverse correlation between the two scores (–0·33) and a partial mediating effect of the alternative score: 15 % for the total effect of the Nova-UPF score and 25 % for the total effect of the Nova-WPF score. Conclusions: The Nova-UPF and Nova-WPF scores are independently associated with mid-term BMI gain further justifying their use in diet quality monitoring systems.

Details

Language :
English
ISSN :
13689800 and 14752727
Volume :
26
Database :
Directory of Open Access Journals
Journal :
Public Health Nutrition
Publication Type :
Academic Journal
Accession number :
edsdoj.f285461d9d3248f192eead3ba9f2d6b8
Document Type :
article
Full Text :
https://doi.org/10.1017/S1368980023001532