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
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|
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.
|Study Type :||Observational|
|Estimated Enrollment :||264 participants|
|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|
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
- 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)
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
|Contact: Gary Frost, PhDfirstname.lastname@example.org|
|Contact: Modou L Jobarteh, PhDemail@example.com|
|Principal Investigator:||Gary Frost, PhD||Imperial College London|