Journal article
Evaluation of acceptability, functionality, and validity of a passive image-based dietary intake assessment method in adults and children of Ghanaian and Kenyan origin living in London, UK
Nutrients, Vol.15(18), 4075
2023
PMID: 37764857
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.
Details
- Title
- Evaluation of acceptability, functionality, and validity of a passive image-based dietary intake assessment method in adults and children of Ghanaian and Kenyan origin living in London, UK
- Authors/Creators
- Modou L. Jobarteh - University of LondonMegan A. Mccrory - Boston UniversityBenny Lo - Imperial College LondonKonstantinos K. Triantafyllidis - Imperial College LondonJianing Qiu - Imperial College LondonJennifer P. Griffin - Imperial College LondonEdward Sazonov - University of AlabamaMingui Sun - University of PittsburghWenyan Jia - University of PittsburghTom Baranowski - Children's Nutrition Research Center at Baylor College of MedicineAlex K. Anderson - University of GeorgiaKathryn Maitland - Kenya Medical Research InstituteGary Frost - Imperial College London
- Publication Details
- Nutrients, Vol.15(18), 4075
- Publisher
- Mdpi
- Number of pages
- 16
- Grant note
- We would like to thank all the study participants, especially the families that welcomed us into their homes. We are grateful to the support of staff at NIHR Imperial CRF for allowing us to use their facility. We would like to acknowledge the support of Su
- Identifiers
- 991005884953007891
- Copyright
- © 2023 by the authors.
- Murdoch Affiliation
- Centre for Computational and Systems Medicine
- Language
- English
- Resource Type
- Journal article
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