Development and validation of objective, passive dietary assessment Method for estimating food and nutrient intake in households in Low and Middle-Income Countries (LMICs): a study protocol
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Malnutrition is a major concern in low- and middle-income countries (LMIC), but the full extent of nutritional deficiencies remains unknown largely due to lack of accurate assessment methods. This study seeks to develop and validate an objective, passive method of estimating food and nutrient intake in households in Ghana and Uganda. Household members (including under-5s and adolescents) are assigned a wearable camera device to capture images of their food intake during waking hours. Using custom software, images captured are then used to estimate an individual's food and nutrient (i.e., protein, fat, carbohydrate, energy, and micronutrients) intake. Passive food image capture and assessment provides an objective measure of food and nutrient intake in real time, minimizing some of the limitations associated with self-reported dietary intake methods. Its use in LMIC could potentially increase the understanding of a population's nutritional status, and the contribution of household food intake to the malnutrition burden. This project is registered at clinicaltrials.gov (NCT03723460).
Date Issued
2020-02-07
Date Acceptance
2020-02-06
Citation
Current Developments in Nutrition, 2020, 4 (2), pp.1-11
ISSN
2475-2991
Publisher
Oxford University Press (OUP)
Start Page
1
End Page
11
Journal / Book Title
Current Developments in Nutrition
Volume
4
Issue
2
Copyright Statement
© The Author(s) 2020.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor
Bill & Melinda Gates Foundation
Identifier
https://academic.oup.com/cdn/article/4/2/nzaa020/5729931
Grant Number
OPP1171395
Subjects
assessment
camera
devices
dietary
food
household
intake
nutrient
undernutrition
wearable
Publication Status
Published online
Date Publish Online
2020-02-07