Children’s Nutrition Research Center Staff Publications

Language

English

Publication Date

9-20-2023

Journal

Nutrients

DOI

10.3390/nu15184075

PMID

37764857

PMCID

PMC10537234

PubMedCentral® Posted Date

9-20-2023

PubMedCentral® Full Text Version

Post-print

Abstract

Background: Accurate estimation of dietary intake is challenging. However, whilst some progress has been made in high-income countries, low- and middle-income countries (LMICs) remain behind, contributing to critical nutritional data gaps. This study aimed to validate an objective, passive image-based dietary intake assessment method against weighed food records in London, UK, for onward deployment to LMICs.

Methods: Wearable camera devices were used to capture food intake on eating occasions in 18 adults and 17 children of Ghanaian and Kenyan origin living in London. Participants were provided pre-weighed meals of Ghanaian and Kenyan cuisine and camera devices to automatically capture images of the eating occasions. Food images were assessed for portion size, energy, nutrient intake, and the relative validity of the method compared to the weighed food records.

Results: The Pearson and Intraclass correlation coefficients of estimates of intakes of food, energy, and 19 nutrients ranged from 0.60 to 0.95 and 0.67 to 0.90, respectively. Bland-Altman analysis showed good agreement between the image-based method and the weighed food record. Under-estimation of dietary intake by the image-based method ranged from 4 to 23%.

Conclusions: Passive food image capture and analysis provides an objective assessment of dietary intake comparable to weighed food records.

Keywords

Humans, Adult, Child, London, Ghana, Kenya, Eating, Food, dietary intake assessment, wearable camera, food, nutrients, portion size, nutritional analysis

Published Open-Access

yes

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