Validation of NOVA 27 ultra-processed food screener: adaptation and performance in Ecuador
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| Publicat a: | Public Health Nutrition vol. 28, no. 1 (2025) |
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| Autor principal: | |
| Altres autors: | , |
| Publicat: |
Cambridge University Press
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| Accés en línia: | Citation/Abstract Full Text Full Text - PDF |
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| Resum: | Objective:This study aimed to adapt and validate the NOVA 27 ultra-processed food (UPF) Screener for use in Ecuador by identifying commonly consumed foods, classifying them using the NOVA system and testing the screener’s validity in an urban sample and a national food survey.Design:A cross-sectional study was conducted in two phases: screener validation with a convenience sample of 327 adults in Quito through an online questionnaire (2021) and assessment of its applicability using data from the 2012 Ecuadorian National Health and Nutrition Survey (ENSANUT-Ecu). The method, adapted from a similar study in Brazil, compared NOVA UPF scores to the 24 h-Recall (24-HR) automated multiple-pass method, used as the gold standard.Setting:The study included Quito’s urban population for validation and secondary data from ENSANUT-Ecu.Participants:Three hundred and twenty-seven adults aged 18–64 from Quito were included in the validation phase, and 3510 adults from the ENSANUT-Ecu dataset were analysed in the secondary analysis.Results:The screener adaptation identified twenty-seven subgroups of commonly consumed UPF, summarising 90 % of UPF energy intake. Validation results indicated significant agreement between the NOVA-UPF score and UPF intake, with PABAK indices above 0·8 for most socio-demographic groups. Higher NOVA-UPF scores corresponded to increased UPF dietary shares, mirroring patterns observed in the ENSANUT-Ecu dataset.Conclusions:The adapted NOVA 27 UPF Screener is a valid tool for assessing UPF intake in Ecuador, offering a practical resource for future dietary surveys to monitor and address UPF intake among Ecuadorian adults. |
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| ISSN: | 1368-9800 1475-2727 |
| DOI: | 10.1017/S1368980025100475 |
| Font: | Health & Medical Collection |