Assessing daily energy intake in adult women: validity of a food-recognition mobile application compared to doubly labelled water.

ABSTRACT: Accurate dietary assessment is crucial for nutrition and health research. Traditional methods, such as food records, food frequency questionnaires, and 24-hour dietary recalls (24HR), have limitations, such as the need for trained interviewers, time-consuming procedures, and inaccuracies in estimations. Novel technologies, such as image-based dietary assessment apps, have been developed to overcome these limitations. SNAQ is a novel image-based food-recognition app which, based on computer vision, assesses food type and volume, and provides nutritional information about dietary intake. This cross-sectional observational study aimed to investigate the validity of SNAQ as a dietary assessment tool for measuring energy and macronutrient intake in adult women with normal body weight (n 

SUBMITTER: Serra M 

PROVIDER: S-EPMC10556674 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature