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A novel web-based 24-h dietary recall tool in line with the Nova food processing classification: description and evaluation.
- Source :
-
Public health nutrition [Public Health Nutr] 2023 Oct; Vol. 26 (10), pp. 1997-2004. Date of Electronic Publication: 2023 Aug 07. - Publication Year :
- 2023
-
Abstract
- Objective: This paper describes the first web-based self-completed 24-h recall designed to categorise food intake according to Nova groups - Nova24h - and its agreement with a reference tool in estimating the dietary relative contribution of the four Nova food groups (% of total energy intake).<br />Design: Comparisons of estimates of dietary relative contributions of Nova groups obtained by Nova24h and one standard interviewer-led 24-h recall.<br />Setting: Nationwide adult cohort study in Brazil.<br />Participants: The subjects were 186 participants of the NutriNet Brasil Cohort Study ( n 186).<br />Results: No statistically significant differences were observed between the Nova24h and the reference tool mean contributions of unprocessed or minimally processed foods (52·3 % v . 52·6 %), processed culinary ingredients (11·6 % v . 11·9 %), processed foods (17·1 % v . 14·7 %) and ultra-processed foods (19·0 % v . 20·9 %). Intraclass correlation coefficients between individual estimates obtained for each Nova group showed moderate to good agreement (0·54-0·78). Substantial or almost perfect agreement between the tools was seen regarding the ability to rank participants according to quintiles of contribution of each Nova group (PABAK 0·69-0·81).<br />Conclusions: Nova24h is a suitable tool for estimating the dietary relative energy contribution of Nova food groups in the NutriNet Brasil cohort. New studies are necessary to verify its adequacy in other populations.
- Subjects :
- Adult
Humans
Cohort Studies
Food Handling
Energy Intake
Internet
Fast Foods
Diet
Subjects
Details
- Language :
- English
- ISSN :
- 1475-2727
- Volume :
- 26
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Public health nutrition
- Publication Type :
- Academic Journal
- Accession number :
- 37548217
- Full Text :
- https://doi.org/10.1017/S1368980023001623