A novel web-based 24-h dietary recall tool in line with the Nova food processing classification: description and evaluation

• 主要な著者: Daniela Neri (著者), Kamila Tiemann Gabe (著者), Caroline Dos Santos Costa (著者), Euridice Martinez Steele (著者), Fernanda Rauber (著者), Dirce Maria Marchioni (著者), Maria Laura da Costa Louzada (著者), Renata Bertazzi Levy (著者), Carlos Augusto Monteiro (著者)
• フォーマット: 図書
• 出版事項: Cambridge University Press, 2023-10-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

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 inta...