Passive Dietary Intake Assessment Study
PDIAS
Development of a Passive Dietary Monitoring System to Estimate an Individual's Dietary Intake in Households in Low and Middle-income Countries
2 other identifiers
observational
264
1 country
1
Brief Summary
Currently, there is no accurate measurement of dietary intake. All current methodologies of assessing dietary intake have inaccuracy rates of 30 -70%. Accurate assessment of dietary intake is critical in understanding individual and population nutritional status and monitoring the effectiveness of public health interventions to maintain nutritional health. Estimating dietary intake in low and middle-income countries (LMICs) is remarkably challenging, albeit the high presence of malnutrition and the critical need for evidence-based data to inform policies and programmes on nutrition and health. This study aims to develop and validate a low-cost and robust system for accurate measurement of an individual's dietary intake in households in LMICs. This innovative system passively recognises food, records intake, and estimates nutrient content of food. The system will be validated in field trials in Ghana and Kenya.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Nov 2018
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 25, 2018
CompletedFirst Posted
Study publicly available on registry
October 29, 2018
CompletedStudy Start
First participant enrolled
November 15, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2024
CompletedMarch 19, 2024
March 1, 2024
5.4 years
October 25, 2018
March 18, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Dietary Intake Measures
This involves the use of camera/video imaging to estimate food volume/quantity, portion size (amount of ingested food) and nutrient content of food (macro and micronutrient content of food)
18 months
Study Arms (1)
Households
Household here means a family unit comprising of at least both parents (mother and father) and a child under 5 years of age or an adolescent child.
Interventions
Passive dietary monitoring devices will be used to monitor dietary intake in household in communities in Ghana and Kenya
Eligibility Criteria
The study population comprises of members of households living in rural and urban/per-urban communities in Ghana and Kenya
You may qualify if:
- Household comprising of both parents (mother and father) and at least a child/children under 5 years of age and/or an adolescent child
- Members of the household eat the same prepared meal
- Willingness to use a camera/video recording device to capture household food preparation and consumption.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Imperial College Londonlead
- KEMRI-Wellcome Trust Collaborative Research Programcollaborator
- University of Ghanacollaborator
- University of Pittsburghcollaborator
- Baylor College of Medicinecollaborator
- University of Alabama at Birminghamcollaborator
- Boston Universitycollaborator
- University of Colorado, Denvercollaborator
- University of Georgiacollaborator
Study Sites (1)
Imperial College London
London, W120NN, United Kingdom
Related Publications (1)
Jobarteh ML, McCrory MA, Lo B, Sun M, Sazonov E, Anderson AK, Jia W, Maitland K, Qiu J, Steiner-Asiedu M, Higgins JA, Baranowski T, Olupot-Olupot P, Frost G. 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. Curr Dev Nutr. 2020 Feb 7;4(2):nzaa020. doi: 10.1093/cdn/nzaa020. eCollection 2020 Feb.
PMID: 32099953DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Gary Frost, PhD
Imperial College London
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 25, 2018
First Posted
October 29, 2018
Study Start
November 15, 2018
Primary Completion
April 1, 2024
Study Completion
April 1, 2024
Last Updated
March 19, 2024
Record last verified: 2024-03
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR
- Time Frame
- 01 July 2020 - 30 January 2025
- Access Criteria
- Anonymised individual participant data will be shared to other researchers through a secure cloud data storage system and through publication in open access journals.
Anonymised individual participant data will be shared to other researchers through a secure cloud data storage system and through publication in open access journals.