Reliability and validity of assigning ultraprocessed food categories to 24-h dietary recall data.

ABSTRACT:

Background

The Nova classification system categorizes foods into 4 processing levels, including ultraprocessed foods (UPFs). Consumption of UPFs is extensive in the United States, and high UPF consumption is associated with chronic disease risk. A reliable and valid method to Nova-categorize foods would advance understanding of UPF consumption and its relationship to health outcomes.

Objectives

Test the reliability and validity of training coders and assigning Nova categories to individual foods collected via 24-h dietary recalls.

Design

A secondary analysis of 24-h dietary recalls from 610 children who participated in a randomized controlled trial and were 3-5 y old at baseline was conducted. The Nutrition Data System for Research (NDSR) software was used to collect

SUBMITTER: Sneed NM 

PROVIDER: S-EPMC10196599 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature