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Validation of a Digital Diet Method for Use With Preschoolers

Validation of a Digital Diet Method for Use With Preschoolers

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01725347
Enrollment
94
Registered
2012-11-12
Start date
2012-02-29
Completion date
2016-12-31
Last updated
2017-07-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Feeding Behaviors

Keywords

nutrition assessment, children, preschool, eating behavior, Head Start, digital technology

Brief summary

The Validation of a Digital Diet Method project is very innovative because it links three methods to address the gap in measuring food intake of HS preschool children. Data collection is based on EMA theory; participant burden is low, and the Food Image App decreases participant and staff burden even further. Data management and analysis are semi-automated and relies on advanced computer algorithms. A strength of this approach is its semi-automation, which allows us to leverage the strengths of human operators and computer automation.

Detailed description

The goal of the proposed research is to modify the Remote Food Photography Method (RFPM) for use with preschoolers. Primary caregivers (the majority will be mothers) and HS assistants will use a Smartphone to capture 24-hour images of HS children's food selection and plate waste. The RFPM, Ecological Momentary Assessment (EMA). and the Food Photography Application© will be used to estimate the energy and nutrient intake of preschoolers. The accuracy of the RFPM will be examined by determining the energy and nutrient intake (collectively referred to as food intake \[FI\]) to established methods: 1) actual gram (g) weights of laboratory-based test meals and 2) doubly labeled water (DLW) in a natural environment.

Interventions

None listed

Sponsors

National Institutes of Health (NIH)
CollaboratorNIH
National Cancer Institute (NCI)
CollaboratorNIH
Baylor College of Medicine
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
3 Years to 5 Years
Healthy volunteers
Yes

Inclusion criteria

* 3-5 years old * Attends Head Start * African-American * Hispanic American * Can physically complete the tasks required in the proposed research

Exclusion criteria

* Younger than 3 years old * Older than 5 years old * Does not attend Head Start * Race/Ethnicity other than African-American or Hispanic-American * Cannot physically complete the tasks required in the proposed research

Design outcomes

Primary

MeasureTime frameDescription
This experiment will compare energy intake (EI) calculated using the test method (Remote Food Photography Method or RFPM) against energy intake calculated using weight measures (actual weighing of all food/beverages consumed).12 monthsThe Bland-Altman method was used to measure the agreement between digital photography estimated weight and actual weight. This method uses a two step process that evaluates the accuracy (validity) of a new measurement technique compared to and existing gold standard, which was the actual weights of foods.

Secondary

MeasureTime frameDescription
This experiment will compare energy intake (EI) calculated using the test method (Remote Food Photography Method or RFPM) against energy expenditure using the Doubly Labeled Water method (DLW).12 monthsThe Same statistical analysis methods used for the Primary Outcome Measure will be applied. Additionally, the Bland-Altman technique will be used to assess the degree of agreement between the two methods.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026