Evidence map›Paper›PMID 32099953›Full record

ArticleCurrent developments in nutrition2020

Development and Validation of an Objective, Passive Dietary Assessment Method for Estimating Food and Nutrient Intake in Households in Low- and Middle-Income Countries: A Study Protocol.

Modou L Jobarteh, Megan A McCrory, Benny Lo, Mingui Sun, Edward Sazonov, Alex K Anderson, Wenyan Jia, Kathryn Maitland, Jianing Qiu, Matilda Steiner-Asiedu and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Current developments in nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03723460 (Development of a Passive Dietary Monitoring System to Estimate an Individual's Dietary Intake in Households in Low and Middle-income Countries), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03723460 unknown statusnot on this map

Development of a Passive Dietary Monitoring System to Estimate an Individual's Dietary Intake in Households in Low and Middle-income Countries

TypeobservationalSponsorImperial College LondonRan2018 to 2024Enrolled264ConditionsDietary Intake Assessment, Passive Dietary Monitoring, MalnutritionArmsPassive Dietary Monitoring
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  9. Review
  10. Diet composition and energy intake in humans.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  11. Estimating Amount of Food in a Circular Dining Bowl from a Single Image.MADiMa '23 : proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management · 2023
    Article
  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 10 institutions in 5 countries.

Modou L JobartehSection for Nutrition Research, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.ORCID 0000-0002-7350-6980
Megan A McCroryDepartment of Health Sciences, Boston University, Boston, MA, USA.ORCID 0000-0002-5024-1465
Benny LoHamlyn Centre, Imperial College London, London, UK.ORCID 0000-0002-5080-108X
Mingui SunDepartment of Neurological Surgery, University of Pittsburgh, PA, USA.ORCID 0000-0001-7948-9205
Edward SazonovDepartment of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL, USA.ORCID 0000-0001-7792-4234
Alex K AndersonDepartment of Foods and Nutrition, University of Georgia, Athens, GA, USA.ORCID 0000-0001-7048-8337
Wenyan JiaDepartment of Neurological Surgery, University of Pittsburgh, PA, USA.ORCID 0000-0002-4657-454X
Kathryn MaitlandKEMRI Wellcome Trust Programme, Kilifi, Kenya.ORCID 0000-0002-0007-0645
Jianing QiuHamlyn Centre, Imperial College London, London, UK.
Matilda Steiner-AsieduDepartment of Nutrition and Food Science, University of Ghana, Legon-Accra, Ghana.ORCID 0000-0001-5190-3988
Janine A HigginsDepartment of Pediatrics, Section of Endocrinology, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA.ORCID 0000-0002-4273-194X
Tom BaranowskiUSDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-0653-2222
Peter Olupot-OlupotMbale Clinical Research Institute, Mbale Regional Referral and Teaching Hospital, Mbale, Uganda.ORCID 0000-0002-5757-609X
Gary FrostSection for Nutrition Research, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.ORCID 0000-0003-0529-6325
Imperial College London · GBUniversity of Pittsburgh · USBoston University · USChildren's Nutrition Research Center at Baylor College of Medicine · USKenya Medical Research Institute · KEMbale Hospital · UGUniversity of Alabama · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Georgia · USUniversity of Ghana · GH

Funding

Automatic Recognition of Diet, Physical Activity and Sedentary Behavior Using a Smart Wearable DeviceR56DK113819 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SUN, MINGUI · 2018 to 2018
$490k
Medical Research Council MC_PC_MR/R019258/1NIDDK NIH HHS R56 DK113819
6 · The paper itself

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).

Indexed as

assessmentcameradevicesdietaryfoodhouseholdintakenutrientundernutritionwearable

Identifiers

PMID32099953
PMCPMC7031207
OpenAlexW3004923419

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.