Evaluation of Acceptability, Functionality, and Validity of a Passive Image-Based Dietary Intake Assessment Method in Individuals of Ghanaian and Kenyan Origin Living in London, UK: A Pilot Study

Modou L. Jobarteh; Megan A. McCrory; Benny Lo; Konstantinos K. Triantafyllidis; Jianing Qiu; Jennifer P. Griffin; Edward Sazonov; Mingui Sun; Wenyan Jia; Tom Baranowski; Alex K. Anderson; Kathryn Maitland; Gary Frost

doi:10.20944/preprints202309.0092.v1

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preprints.org > biology and life sciences > food science and technology > doi: 10.20944/preprints202309.0092.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Evaluation of Acceptability, Functionality, and Validity of a Passive Image-Based Dietary Intake Assessment Method in Individuals of Ghanaian and Kenyan Origin Living in London, UK: A Pilot Study

Modou L. Jobarteh

^* ,

Megan A. McCrory

Benny Lo

Konstantinos K. Triantafyllidis

Version 1 : Received: 31 August 2023 / Approved: 1 September 2023 / Online: 1 September 2023 (16:36:47 CEST)

A peer-reviewed article of this Preprint also exists.

Jobarteh, M.L.; McCrory, M.A.; Lo, B.; Triantafyllidis, K.K.; Qiu, J.; Griffin, J.P.; Sazonov, E.; Sun, M.; Jia, W.; Baranowski, T.; Anderson, A.K.; Maitland, K.; Frost, G. 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 2023, 15, 4075. Jobarteh, M.L.; McCrory, M.A.; Lo, B.; Triantafyllidis, K.K.; Qiu, J.; Griffin, J.P.; Sazonov, E.; Sun, M.; Jia, W.; Baranowski, T.; Anderson, A.K.; Maitland, K.; Frost, G. 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 2023, 15, 4075.

Abstract

Background: Accurate estimation of dietary intake is challenging. But 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 of 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, and nutrient intake, and relative validity of the method compared to the weighed food records. Results: Pearson and Intra-class correlation coefficient 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 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

Dietary intake assessment; Wearable camera; Food; Nutrients; Portion size; Nutritional analysis

Subject

Biology and Life Sciences, Food Science and Technology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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