Validation of a Digital Diet Method for Use With Preschoolers

NCT01725347 | Completed DMC

• 2 other identifiers: H-29112R01CA142919-01A1
• Study Type: observational
• Target: 94
• Locations: 1 country
• Sites: 1

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.

Conditions

Feeding Behaviors

Keywords

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

Outcome Measures

Primary Outcomes (1)

• 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.

  12 months

Secondary Outcomes (1)

• 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 months

Study Arms (4)

African American Girls

-25% of sample is African American Girls

African American Boys

-25% of sample is African American Boys

Hispanic American Girls

-25% of sample is Hispanic American Girls

Hispanic American Boys

-25% of sample is Hispanic American Boys

Eligibility Criteria

• Age: 3 Years - 5 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17)
• Sampling Method: Non-Probability Sample

Study Population

With an anticipated attrition rate of 15%, 62 children will be recruited, resulting in a sample size of 54 after attrition (14 HA boys; 14 HA girls; 13 AA boys; 13 AA girls).

You may qualify if:

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

You may not qualify if:

• 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

Sponsors & Collaborators

• Baylor College of Medicine: lead
• National Institutes of Health (NIH): collaborator
• National Cancer Institute (NCI): collaborator

Study Sites (1)

USDA/ARS Children's Nutrition Research Center

Houston, Texas, 77030, United States

Location

Related Publications (3)

• Nicklas TA, O'Neil CE, Stuff J, Goodell LS, Liu Y, Martin CK. Validity and feasibility of a digital diet estimation method for use with preschool children: a pilot study. J Nutr Educ Behav. 2012 Nov-Dec;44(6):618-23. doi: 10.1016/j.jneb.2011.12.001. Epub 2012 Jun 23.

  PMID: 22727939 RESULT

• Nicklas T, Saab R, Islam NG, Wong W, Butte N, Schulin R, Liu Y, Apolzan JW, Myers CA, Martin CK. Validity of the Remote Food Photography Method Against Doubly Labeled Water Among Minority Preschoolers. Obesity (Silver Spring). 2017 Sep;25(9):1633-1638. doi: 10.1002/oby.21931. Epub 2017 Jul 31.

  PMID: 28758370 DERIVED

• Nicklas T, Islam NG, Saab R, Schulin R, Liu Y, Butte NF, Apolzan JW, Myers CA, Martin CK. Validity of a Digital Diet Estimation Method for Use with Preschool Children. J Acad Nutr Diet. 2018 Feb;118(2):252-260. doi: 10.1016/j.jand.2017.05.005. Epub 2017 Jun 19.

  PMID: 28637631 DERIVED

Biospecimen

Retention: SAMPLES WITHOUT DNA

Urine samples are to be collected.

MeSH Terms

Conditions

Feeding Behavior

Condition Hierarchy (Ancestors)

Behavior, Animal; Behavior

Study Officials

• Theresa A Nicklas, DrPH

  Baylor College of Medicine

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor of Pediatric Nutrition

Study Record Dates

• First Submitted: October 31, 2012
• First Posted: November 12, 2012
• Study Start: February 1, 2012
• Primary Completion: May 1, 2015
• Study Completion: December 1, 2016
• Last Updated: July 12, 2017

Record last verified: 2017-07

Locations

US (1)