Validation of a Digital Diet Method for Use With Preschoolers

Baylor College of Medicine94 enrolled

Overview

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.

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.

Study Type

OBSERVATIONAL

Enrollment

Conditions

Feeding Behaviors

Eligibility

Sex: ALLMin age: 3 YearsMax age: 5 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

USDA/ARS Children's Nutrition Research Center

Houston, Texas, United States

Outcomes

Primary Outcomes

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).

The 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.

Time frame: 12 months

Secondary Outcomes

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).

The 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.

Time frame: 12 months

Data from ClinicalTrials.gov

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