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Passive Dietary Intake Assessment Study (PDIAS)

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ClinicalTrials.gov Identifier: NCT03723460
Recruitment Status : Not yet recruiting
First Posted : October 29, 2018
Last Update Posted : October 29, 2018
Sponsor:
Collaborators:
KEMRI-Wellcome Trust Collaborative Research Program
University of Ghana
University of Pittsburgh
Baylor College of Medicine
University of Alabama at Birmingham
Boston University
University of Colorado, Denver
University of Georgia
Information provided by (Responsible Party):
Imperial College London

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.


Condition or disease Intervention/treatment
Dietary Intake Assessment Passive Dietary Monitoring Malnutrition Other: Passive Dietary Monitoring

Detailed Description:

This protocol describes the process of developing and validating a passive dietary monitoring system for the assessment of an individual's dietary intake in households in Ghana and Kenya.

The first phase of the study involves preliminary testing of identified dietary monitoring camera/video devices in a lab setting at Imperial College London under conditions similar to those anticipated in Ghana and Kenya. These conditions may include low lighting, unique foods common to certain regions, communal eating (where more than one person eats from a shared plate of cooked food) and placement of the devices on the body. This is important to guide the design of a suitable passive dietary monitoring system.

The second phase of the study involves an in-depth understanding of household set-up, composition and eating behaviour and testing the feasibility and acceptability of using passive dietary monitoring devices/system in communities in Ghana and Kenya. The data gathered in this phase of the study will inform the choice of the passive dietary monitoring system and configuration to use in the field validation study.

Finally, in the validation phase of the study, the passive dietary monitoring system developed will be set up to record food intake and estimate nutrient content of food across 88 households in Ghana and Kenya. In addition, 24h dietary recall (a commonly used method of collecting dietary intake data in population studies) and weighed food records will be used to estimate food intake in the households. The dietary intake data obtained through the passive monitoring system will be compared to 24h dietary recall and weighed food record data to validate its accuracy.


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Study Type : Observational
Estimated Enrollment : 264 participants
Observational Model: Cohort
Time Perspective: Prospective
Official Title: Development of a Passive Dietary Monitoring System to Estimate an Individual's Dietary Intake in Households in Low and Middle-income Countries
Estimated Study Start Date : November 15, 2018
Estimated Primary Completion Date : January 30, 2020
Estimated Study Completion Date : June 30, 2020

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Malnutrition

Group/Cohort Intervention/treatment
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.
Other: Passive Dietary Monitoring
Passive dietary monitoring devices will be used to monitor dietary intake in household in communities in Ghana and Kenya




Primary Outcome Measures :
  1. Dietary Intake Measures [ Time Frame: 18 months ]
    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)



Information from the National Library of Medicine

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Ages Eligible for Study:   Child, Adult, Older Adult
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
The study population comprises of members of households living in rural and urban/per-urban communities in Ghana and Kenya
Criteria

Inclusion Criteria:

  1. Household comprising of both parents (mother and father) and at least a child/children under 5 years of age and/or an adolescent child
  2. Members of the household eat the same prepared meal
  3. Willingness to use a camera/video recording device to capture household food preparation and consumption.

Exclusion Criteria:

  • Households not meeting the above inclusion criteria will not be recruited

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03723460


Contacts
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Contact: Gary Frost, PhD 02083838037 g.frost@imperial.ac.uk
Contact: Modou L Jobarteh, PhD 02083838037 m.jobarteh@imperial.ac.uk

Sponsors and Collaborators
Imperial College London
KEMRI-Wellcome Trust Collaborative Research Program
University of Ghana
University of Pittsburgh
Baylor College of Medicine
University of Alabama at Birmingham
Boston University
University of Colorado, Denver
University of Georgia
Investigators
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Principal Investigator: Gary Frost, PhD Imperial College London

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Responsible Party: Imperial College London
ClinicalTrials.gov Identifier: NCT03723460     History of Changes
Other Study ID Numbers: Imperial College London
OPP1171395 ( Other Grant/Funding Number: Bill & Melinda Gates Foundation )
First Posted: October 29, 2018    Key Record Dates
Last Update Posted: October 29, 2018
Last Verified: October 2018
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: Yes
Plan Description: Anonymised individual participant data will be shared to other researchers through a secure cloud data storage system and through publication in open access journals.
Supporting Materials: Study Protocol
Statistical Analysis Plan (SAP)
Informed Consent Form (ICF)
Clinical Study Report (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.

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No

Keywords provided by Imperial College London:
Dietary Intake Assessment
Malnutrition

Additional relevant MeSH terms:
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Malnutrition
Nutrition Disorders