Validation of a Digital Diet Method for Use With Preschoolers

NCT ID: NCT01725347

Last Updated: 2017-07-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

94 participants

Study Classification

OBSERVATIONAL

Study Start Date

2012-02-29

Study Completion Date

2016-12-31

Brief Summary

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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

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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.

Conditions

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Feeding Behaviors

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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African American Girls

-25% of sample is African American Girls

No interventions assigned to this group

African American Boys

-25% of sample is African American Boys

No interventions assigned to this group

Hispanic American Girls

-25% of sample is Hispanic American Girls

No interventions assigned to this group

Hispanic American Boys

-25% of sample is Hispanic American Boys

No interventions assigned to this group

Eligibility Criteria

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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
Minimum Eligible Age

3 Years

Maximum Eligible Age

5 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Institutes of Health (NIH)

NIH

Sponsor Role collaborator

National Cancer Institute (NCI)

NIH

Sponsor Role collaborator

Baylor College of Medicine

OTHER

Sponsor Role lead

Responsible Party

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Theresa A Nicklas

Professor of Pediatric Nutrition

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Theresa A Nicklas, DrPH

Role: PRINCIPAL_INVESTIGATOR

Baylor College of Medicine

Locations

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USDA/ARS Children's Nutrition Research Center

Houston, Texas, United States

Site Status

Countries

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United States

References

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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.

Reference Type RESULT
PMID: 22727939 (View on PubMed)

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.

Reference Type DERIVED
PMID: 28758370 (View on PubMed)

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.

Reference Type DERIVED
PMID: 28637631 (View on PubMed)

Other Identifiers

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R01CA142919-01A1

Identifier Type: NIH

Identifier Source: secondary_id

View Link

H-29112

Identifier Type: -

Identifier Source: org_study_id

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