Scientific Publication

Computer vision–assisted dietary assessment through mobile phones in female youth in urban Ghana: Validity against weighed records and comparison with 24-h recalls

author(s) Gelli, Aulo - Nwabuikwu, Odiche - Bannerman, Boateng - Ador, Gabriel - Atadze, Vicentia - Asante, Millicent
from International Food Policy Research Institute (IFPRI)
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themes
regions
  • Western Africa
  • Sub-Saharan Africa
  • Africa
  • World
citation

Gelli, Aulo et al., 'Computer vision–assisted dietary assessment through mobile phones in female youth in urban Ghana: Validity against weighed records and comparison with 24-h recalls', The American Journal of Clinical Nutrition, vol. 120(5), pp. 1105-1113, Elsevier BV, 2024

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Abstract

Background Gaps persist in the data on diets and on the validity of dietary assessment methods in youth in low-income and middle-income countries (LMICs) due to costs constraints. Although computer vision–assisted dietary assessment tools have been proposed, limited evidence exists on their validity in LMICs.

Objectives This study aimed to validate FRANI (Food Recognition Assistance and Nudging Insights), a mobile phone application with computer vision–assisted dietary assessment, against weighed records (WRs) and compare with 24-h recalls (24HR), in female youth in Ghana.

Methods Dietary intake was assessed on 2 nonconsecutive days using FRANI, WR, and 24HR in females aged 18–24 y recruited at the University of Ghana, Accra (n = 64). Equivalence was examined by comparing intake mean ratios (FRANI/WR and 24HR/WR) with error margins of 10%, 15%, and 20%, using mixed-effect regression models adjusting for repeated measures. Agreement between methods was assessed using the concordance correlation coefficient (CCC).

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