CClinicalTrials.gg
CompletedNCT03242863Updated Nov 18, 2020Results posted

Effect of Varying Proportions of Low and High Energy Dense Foods Over 5 Days in Preschool Children

An interventional study of Food proportionality in Feeding Behavior, sponsored by Penn State University. Completed at 1 site in United States. Open to participants aged 3 Years to 5 Years. Per ClinicalTrials.gov, last updated 2020-11-18.

Sponsored by Penn State University · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
57
Allocation
Randomized
Ages
3 Years to 5 Years
Sex
All
01

Study summary

In this study, the investigators will vary the proportions of high- and low-energy-dense foods served to preschool children at all meals and snacks during three 5-day periods. In the three experimental conditions, the same foods will be served; only the amounts and proportions of foods will be varied. In the Baseline condition, typical proportions of age-appropriate foods will be served. In the Addition condition, the portion sizes of low-energy-dense foods will be increased, and in the Substitution condition, the portions of low-energy-dense foods will be increased by replacing an equivalent amount of foods higher in energy density. The primary aim is to determine the effect on children's energy intake of varying the proportion of low- and high-energy-dense foods served, either by addition or substitution, over 5 days. It is hypothesized that children will consume less energy when they are served meals in which low-energy-dense foods are substituted for foods higher in energy density over 5 days and that children will consume more energy when served meals to which low-energy-dense foods are added. Additionally, we will test the hypothesis that daily energy intake in the three conditions will begin to converge across the 5-day period.

02

Conditions studied

  • Feeding Behavior
03

In context

Lead sponsor

Penn State University is the lead sponsor of 263 studies on the registry; 51 are open to participants now.

Of its 13 completed or terminated interventional studies of FDA-regulated products, 10 (77%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
3 Years to 5 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Attending one of the designated daycare centers

Exclusion criteria

Exclusion Criteria:

  • Food Allergies
  • Food restrictions
  • Health Issues that Preclude Participation
  • Not available for duration of the study
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Single (Participant)
Enrollment
57 participants (actual)

Study arms

  • Experimental
    Control

    Baseline proportions of high and low energy dense foods.

    Other: Food proportionality

  • Experimental
    Addition

    Increased portion of low energy dense foods.

    Other: Food proportionality

  • Experimental
    Substitution

    Increased portion of low energy dense foods substituted for equal portion of foods higher in energy density.

    Other: Food proportionality

Interventions

  • OtherFood proportionality

    Proportions of high and low energy dense foods manipulated

06

What researchers measure

Primary outcomes

  1. Differences in Food and Beverage Intake by Energy

    Differences in daily energy consumed of food and beverages, in kilocalories

    Time frame: Day 1-5 in weeks 1, 2, and 3

  2. Differences in Food and Beverage Intake by Weight

    Differences in daily weight consumed of food and beverages, in grams

    Time frame: Day 1-5 in weeks 1, 2, and 3

  3. Differences in Food and Beverage Intake by Weight

    Differences in daily weight consumed of vegetables and fruit, in grams

    Time frame: Day 1-5 in weeks 1, 2, and 3

Secondary outcomes

  1. Differences in Food and Beverage Intake by Energy Density

    Differences in daily energy density consumed of food and beverages, in kilocalories/gram

    Time frame: Day 1-5 in weeks 1, 2, and 3

07

Results

Posted Jun 16, 2020

Participant flow

Children were recruited from three childcare centers in central Pennsylvania between November 2017 and March 2019

Study Week 1
Participant flow — Study Week 1
MilestoneCon First, Then Add, Then SubAdd First, Then Sub, Then ConSub First, Then Con, Then AddCon First, Then Sub, Then AddAdd First, Then Con, Then SubSub First, Then Add, Then Con
Started131644155
Completed131544125
Not completed010030
Withdrew: Withdrawal by subject010030
Study Week 2
Participant flow — Study Week 2
MilestoneCon First, Then Add, Then SubAdd First, Then Sub, Then ConSub First, Then Con, Then AddCon First, Then Sub, Then AddAdd First, Then Con, Then SubSub First, Then Add, Then Con
Started131544125
Completed131544125
Not completed000000
Study Week 3
Participant flow — Study Week 3
MilestoneCon First, Then Add, Then SubAdd First, Then Sub, Then ConSub First, Then Con, Then AddCon First, Then Sub, Then AddAdd First, Then Con, Then SubSub First, Then Add, Then Con
Started131544125
Completed131544125
Not completed000000

Outcome measures

PrimaryDifferences in Food and Beverage Intake by Energy

Differences in daily energy consumed of food and beverages, in kilocalories

Time frame:
Day 1-5 in weeks 1, 2, and 3
Reported as:
Mean · kilocalories per day
Differences in Food and Beverage Intake by Energy
kilocalories per dayControlAdditionSubstitution
Differences in Food and Beverage Intake by Energy1059 ± 331118 ± 35977 ± 34
Statistical analysis
  • Control vs Addition vs Substitution · Mixed Models Analysis · p = <0.0001
PrimaryDifferences in Food and Beverage Intake by Weight

Differences in daily weight consumed of food and beverages, in grams

Time frame:
Day 1-5 in weeks 1, 2, and 3
Reported as:
Mean · grams per day
Differences in Food and Beverage Intake by Weight
grams per dayControlAdditionSubstitution
Differences in Food and Beverage Intake by Weight868 ± 35955 ± 36908 ± 35
Statistical analysis
  • Control vs Addition vs Substitution · Mixed Models Analysis · p = 0.0015
PrimaryDifferences in Food and Beverage Intake by Weight

Differences in daily weight consumed of vegetables and fruit, in grams

Time frame:
Day 1-5 in weeks 1, 2, and 3
Reported as:
Mean · grams per day
Differences in Food and Beverage Intake by Weight
grams per dayControlAdditionSubstitution
Differences in Food and Beverage Intake by Weight225 ± 15296 ± 15315 ± 15
Statistical analysis
  • Control vs Addition vs Substitution · Mixed Models Analysis · p = <0.0001
SecondaryDifferences in Food and Beverage Intake by Energy Density

Differences in daily energy density consumed of food and beverages, in kilocalories/gram

Time frame:
Day 1-5 in weeks 1, 2, and 3
Reported as:
Mean · kilocalories/gram per day
Differences in Food and Beverage Intake by Energy Density
kilocalories/gram per dayControlAdditionSubstitution
Differences in Food and Beverage Intake by Energy Density1.29 ± 0.0381.21 ± 0.0391.14 ± 0.038
Statistical analysis
  • Control vs Addition vs Substitution · Mixed Models Analysis · p = <0.0001

Adverse events

Collected over 6 weeks. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Control0/57 (0%)0/57 (0%)0/57 (0%)
Addition0/57 (0%)0/57 (0%)0/57 (0%)
Substitution0/57 (0%)0/57 (0%)0/57 (0%)

Baseline characteristics

Age, Continuous
Age, Continuous(years)Entire Study Population
Mean4.4 ± 0.8
Sex: Female, Male
Sex: Female, Male(Participants)Entire Study Population
Female25
Male28
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)Entire Study Population
Hispanic or Latino3
Not Hispanic or Latino44
Unknown or Not Reported6
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Entire Study Population
American Indian or Alaska Native0
Asian7
Native Hawaiian or Other Pacific Islander0
Black or African American2
White31
More than one race6
Unknown or Not Reported7
Region of Enrollment
Region of Enrollment(participants)Entire Study Population
United States53
08

Study locations

1 site
  • Laboratory for the Study of Human Ingestive Behavior
    University Park, Pennsylvania 16802, United States
09

References and documents

Publications

  • Roe LS, Sanchez CE, Smethers AD, Keller KL, Rolls BJ. Portion size can be used strategically to increase intake of vegetables and fruits in young children over multiple days: a cluster-randomized crossover trial. Am J Clin Nutr. 2022 Jan 11;115(1):272-283. doi: 10.1093/ajcn/nqab321. PubMed 34550306 ↗

Study documents

  • Informed consent form · Apr 18, 2019
  • Protocol and statistical analysis plan · Aug 31, 2018

Documents are hosted by the registry — open the source record to download them.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Nov 18, 2020, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT03242863
Lead sponsor
Penn State University
Collaborators
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Responsible party
Barbara J. Rolls (Professor of Nutrition and Director of the Laboratory for the Study of Human Ingestive Behavior, Penn State University) — Principal investigator
First posted
Aug 8, 2017
Start date
Nov 27, 2017
Primary completion
May 2, 2019
Completion
May 2, 2019
Results posted
Jun 16, 2020
Last update
Nov 18, 2020

Study contacts

Barbara J Rolls, PhD
principal investigator · Penn State University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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