Relative validity of a mobile AI-technology-assisted dietary assessment in adolescent females in Vietnam.

ABSTRACT:

Background

There is a gap in data on dietary intake of adolescents in low- and middle-income countries (LMICs). Traditional methods for dietary assessment are resource intensive and lack accuracy with regard to portion-size estimation. Technology-assisted dietary assessment tools have been proposed but few have been validated for feasibility of use in LMICs.

Objectives

We assessed the relative validity of FRANI (Food Recognition Assistance and Nudging Insights), a mobile artificial intelligence (AI) application for dietary assessment in adolescent females (n = 36) aged 12-18 y in Vietnam, against a weighed records (WR) standard and compared FRANI performance with a multi-pass 24-h recall (24HR).

Methods

Dietary intake was assessed using 3 methods: FRANI, WR, and 24HRs

SUBMITTER: Nguyen PH 

PROVIDER: S-EPMC9535545 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature