Description and performance evaluation of two diet quality scores based on the Nova classification system Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1101/2023.05.19.23290255
Background and objectives The consumption of unprocessed or minimally processed whole plant foods and of ultra-processed foods, as defined by the Nova food classification system, are associated in opposite ways with diet quality and risk of diseases. However, it can be difficult to evaluate and monitor the consumption of these foods in some contexts due to lack of resources and time constraints for data collection. This study aimed to describe two simple and easily derived diet quality scores and evaluate their performance in reflecting the dietary share of unprocessed or minimally processed whole plant foods and ultra-processed foods. Methods A total of 812 adults (18 years old or older) answered the Nova24h screener, a 2-minute self-administered questionnaire that measures the consumption of a set of foods on the day before the interview. Food items included in this tool belong to two main groups of Nova classification: unprocessed or minimally processed whole plant foods (WPF, 33 food items) and ultra-processed foods (UPF, 23 food items). Two scores are obtained from this tool by summing the number of items checked - the Nova-WPF and the Nova-UPF. We compared the Nova-WPF and the Nova-UPF scores with the dietary intake (% of total energy) of all unprocessed or minimally processed whole plant foods and all ultra-processed foods, respectively, obtained through a full self-administered web-based 24-hour recall, applied on the same day. We evaluated the relationship between the approximate quintiles or intervals of each score and the corresponding % of energy intake by linear regression, and the agreement between the intervals of each score with the intervals of the corresponding % of energy intake, using the Prevalence-Adjusted and Bias-Adjusted Kappa (PABAK). Results Approximate quintiles of each score presented 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 of the corresponding % of energy intake (PABAK 0.72, 95% CI 0.64-0.81 for the Nova-WPF score and PABAK 0.79, 95% CI 0.69-0.88, for the Nova-UPF score). 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 thus be used to evaluate and monitor diet quality.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.05.19.23290255
- https://www.medrxiv.org/content/medrxiv/early/2023/05/21/2023.05.19.23290255.full.pdf
- OA Status
- green
- Cited By
- 9
- References
- 27
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4377194622Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2023.05.19.23290255Digital Object Identifier
- Title
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Description and performance evaluation of two diet quality scores based on the Nova classification systemWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-05-21Full publication date if available
- Authors
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Caroline dos Santos Costa, Francine Silva dos Santos, Kamila Tiemann Gabe, Eurídice Martínez Steele, Fernanda Helena Marrocos Leite, Neha Khandpur, Fernanda Rauber, Maria Laura da Costa Louzada, Renata Bertazzi Levy, Carlos Augusto MonteiroList of authors in order
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https://doi.org/10.1101/2023.05.19.23290255Publisher landing page
- PDF URL
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https://www.medrxiv.org/content/medrxiv/early/2023/05/21/2023.05.19.23290255.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2023/05/21/2023.05.19.23290255.full.pdfDirect OA link when available
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Nova (rocket), Consumption (sociology), Quality (philosophy), Food science, Mathematics, Environmental health, Medicine, Biology, Engineering, Philosophy, Epistemology, Aeronautics, Sociology, Social scienceTop concepts (fields/topics) attached by OpenAlex
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9Total citation count in OpenAlex
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2025: 2, 2024: 5, 2023: 2Per-year citation counts (last 5 years)
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27Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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