An observational study in Dietary Intake Assessment, Passive Dietary Monitoring and Malnutrition, sponsored by Imperial College London. Recruiting at 1 site in United Kingdom. Per ClinicalTrials.gov, last updated 2024-03-19.
Sponsored by Imperial College London · Observational
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.
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.
1,587 studies on the registry are indexed under Malnutrition; 237 are open to participants now.
This study's planned enrollment of 264 is above the median of 203 across 388 observational studies indexed under Malnutrition.
Browse Malnutrition studies →Imperial College London is the lead sponsor of 824 studies on the registry; 178 are open to participants now.
Of its 9 completed or terminated interventional studies of FDA-regulated products, 6 (67%) have results posted.
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The study population comprises of members of households living in rural and urban/per-urban communities in Ghana and Kenya
Exclusion Criteria:
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
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)
Time frame: 18 months
Plan to share: Yes — 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 information: Study protocol, Sap, Icf, Csr
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Imperial College London