Description and performance of two diet quality scores based on the Nova classification

Autores

DOI:

https://doi.org/10.11606/s1518-8787.2024058006470

Palavras-chave:

Eating, Surveys and Questionnaires, Diet Surveys, Validation Study

Resumo

OBJECTIVE: To describe two low-burden diet quality scores and evaluate their performance in reflecting the dietary share of the least and most processed foods defined within the Nova food system classification.

METHODS: This cross-sectional study included data from the NutriNet-Brasil cohort. Participants answered the Nova24hScreener, a 3-minute self-administered questionnaire measuring the consumption of a set of foods on the day before. Food items included in this tool belong to two main groups of the Nova classification: unprocessed or minimally processed whole plant foods (WPF, 33 items) and ultra-processed foods (UPF, 23 items). Two scores were obtained by summing the number of items checked: the Nova-WPF and the Nova-UPF. We compared the scores, respectively, with the dietary intake (% of total energy) of all unprocessed or minimally processed whole plant foods and all ultra-processed foods obtained from a full self-administered web-based 24-hour recall performed on the same day.

RESULTS: The approximate quintiles of each score had a direct and linear relationship with the corresponding % of energy intake (p-value for linear trend < 0.001). We found a substantial agreement between the intervals of each score and the corresponding % of energy intake (Nova-WPF score: Prevalence-Adjusted and Bias-Adjusted Kappa (PABAK) 0.72,  95%CI 0.64–0.81; Nova-UPF score: PABAK 0.79, 95%CI 0.69–0.88). CONCLUSIONS: These two scores performed well against the dietary share of unprocessed or minimally processed whole plant foods and ultra-processed foods in Brazil and can be used to evaluate and monitor diet quality. 

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Publicado

2024-11-28

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v. 58 n. 1 (2024)

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Artigos Originais

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Copyright (c) 2024 Caroline dos Santos Costa, Francine Silva dos Santos, Eurídice Martinez Steele, Fernanda Helena Marrocos-Leite, Neha Khandpur, Maria Laura da Costa Louzada, Kamila Tiemann Gabe, Fernanda Rauber, Renata Bertazzi Levy

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Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.

Como Citar

dos Santos Costa, C., Silva dos Santos, F. ., Martinez Steele, E. ., Helena Marrocos-Leite, F. ., Khandpur, N. ., Laura da Costa Louzada, M. ., Tiemann Gabe, K. ., Rauber, F. ., & Bertazzi Levy, R. (2024). Description and performance of two diet quality scores based on the Nova classification . Revista De Saúde Pública, 58(1). https://doi.org/10.11606/s1518-8787.2024058006470

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