ClinicalTrials.gg
CompletedNCT02091154Updated Feb 7, 2022

How Environmental Interventions Influence Behavior in School Lunchrooms

An interventional study of USDA Regulations and Marketing Kit in Child Behavior, Adolescent Behavior and Health Behavior, sponsored by Cornell University. Completed at 1 site in United States. Open to participants aged 5 Years to 19 Years. Per ClinicalTrials.gov, last updated 2022-02-07.

Sponsored by Cornell University · Not applicable, Interventional, and Other

Phase
Not applicable
Study type
Interventional
Enrollment
43
Allocation
Randomized
Ages
5 Years to 19 Years
Sex
All
01

Study summary

The investigators hypothesize that the new United States Department of Agriculture (USDA) regulations for lunches served as part of the National School Lunch Program will decrease the percentage of enrolled students purchasing lunch, increase the percentage of children taking fruit and vegetables, decrease the percentage of fruit and vegetable servings being thrown away, and increase the total number of fruit and vegetable servings eaten.

The investigators also hypothesize that when the regulations are in force, simple behavioral interventions can counteract the potentially negative impact on lunch sales and consumption. In other words, implementing the regulations and behavioral interventions together, the percentage of enrolled students taking a school lunch will increase at least back to baseline levels, the percentage of children taking fruits and vegetables will increase, the percentage of fruit and vegetable servings wasted will decrease, and the total number of fruit and vegetable servings eaten will increase.

Read the detailed description

This study was conducted in 43 schools in the New York City (NYC) School district in the spring of 2012. The new regulations for school lunches were scheduled to roll out nationally in the fall of the same year, so this study was designed to provide an indication of the impact the new regulations would have.

In addition to the regulations, the investigators also tested additional behavioral interventions, in conjunction with the regulations, to determine how the behavioral interventions might offset, or magnify, the impacts of the regulations.

02

Conditions studied

  • Child Behavior
  • Adolescent Behavior
  • Health Behavior

Keywords

  • Food Intake Regulation
  • Fruit
  • Vegetable
03

In context

Child Behavior

64 studies on the registry are indexed under Child Behavior; 20 are open to participants now.

This study's enrollment of 43 is below the median of 184 across 61 interventional studies indexed under Child Behavior.

Browse Child Behavior studies →

Lead sponsor

Cornell University is the lead sponsor of 103 studies on the registry; 18 are open to participants now.

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

04

Who can participate

Ages eligible
5 Years to 19 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Public schools with any combination of grades K-12

Exclusion criteria

Exclusion Criteria:

  • No point of sale system in school
  • Satellite school
  • Feeder school
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Factorial assignment
Masking
Double (Participant, Investigator)
Enrollment
43 participants (actual)

Study arms

  • Experimental
    USDA Regulations Only

    Implement USDA Regulations in assigned school cafeterias during the intervention period.

    Behavioral: USDA Regulations

  • Experimental
    USDA Regulations and Marketing Kit

    Implement new USDA regulations in assigned schools along with the Marketing Kit during the intervention period.

    Behavioral: USDA Regulations · Behavioral: Marketing Kit

  • Experimental
    USDA Regulations and SLM

    Implement USDA Regulations and Smarter Lunchrooms Makeover in assigned schools during intervention period.

    Behavioral: USDA Regulations · Behavioral: Smarter Lunchrooms Makeover (SLM)

  • No intervention
    Control

    Schools assigned to this intervention made no changes to their lunchroom or menus.

Interventions

  • BehavioralUSDA Regulations

    Implement new USDA regulations assigned school cafeterias. 1. Fruit or vegetable on every tray 2. Meet requirements for vegetable varieties 3. 50% of all grains must be whole grain 4. Milk must be 1% or skim; flavored milk must be skim

  • BehavioralMarketing Kit

    This marketing tool kit is designed to encourage purchasing of school lunches. The marketing tool kit included the following components: 1. 56''x72'' vinyl sign with the words "\[school mascot\] Cafe" 2. 8.5''x11'' signs describing the foods offered on a specific day 3. 2''x4'' signs used to name all foods. These were to be placed in a visible location near the corresponding food. 4. Magnetic board displaying a tray onto which magnets shaped as food can be placed to show what foods were being offered during a specific lunch shift.

  • BehavioralSmarter Lunchrooms Makeover (SLM)

    Implement three basic Smarter Lunchrooms techniques. It consists of the following components: 1. Place fruit in an attractive bowl or serving dish and set on two places on the line. One of the places should be at or near the register. 2. Give all vegetables descriptive names and write or type them on a 2''x4'' card. These cards should be visible and placed near the corresponding food. 3. Make white milk the most prominent milk in the milk coolers by making it the most available milk and easiest to take.

06

What researchers measure

Primary outcomes

  1. Change in percent fruit or vegetable waste by student

    In the twelve schools, tray waste data were collected twice in April 2012 and once in May 2012. Results were generated and reported in September 2012.

    Time frame: Six months

Secondary outcomes

  1. Change in lunch sales

    Lunch sales data were collected each school day in the 43 schools from March through May 2012. Results were generated and reported in September 2012.

    Time frame: Six months

Other outcomes

  1. Change in servings of fruits and vegetables taken

    Each school cafeteria keeps records on the number of servings of each food served during a lunch period. These data were collected each day in the 43 schools from March through May 2012. Results were generated and reported in September 2012.

    Time frame: Six months

07

Study locations

1 site
  • New York City School District
    New York, New York, United States
08

References and documents

Publications

  • Hanks AS, Wansink B, Just DR. Reliability and accuracy of real-time visualization techniques for measuring school cafeteria tray waste: validating the quarter-waste method. J Acad Nutr Diet. 2014 Mar;114(3):470-474. doi: 10.1016/j.jand.2013.08.013. Epub 2013 Oct 14. PubMed 24135053 ↗
  • Hanks AS, Just DR, Wansink B. Smarter lunchrooms can address new school lunchroom guidelines and childhood obesity. J Pediatr. 2013 Apr;162(4):867-9. doi: 10.1016/j.jpeds.2012.12.031. Epub 2013 Feb 22. PubMed 23434267 ↗
  • Wansink B, Just DR, Hanks AS, Smith LE. Pre-sliced fruit in school cafeterias: children's selection and intake. Am J Prev Med. 2013 May;44(5):477-80. doi: 10.1016/j.amepre.2013.02.003. PubMed 23597811 ↗
  • Hanks AS, Just DR, Smith LE, Wansink B. Healthy convenience: nudging students toward healthier choices in the lunchroom. J Public Health (Oxf). 2012 Aug;34(3):370-6. doi: 10.1093/pubmed/fds003. Epub 2012 Jan 31. PubMed 22294661 ↗
09

Timeline

Tracking since Sep 25, 2026
Not marked actual or estimatedDates not marked actual or estimated

The record gives a start of Mar 2012, a primary completion of May 2012 and a completion of May 2012. It does not say whether these dates are actual or estimated.

How these figures are worked out, and which studies are left out of them.

Registered
Mar 3, 2014
First posted
Mar 19, 2014
Start
Mar 2012
Primary completionActual
May 2012
CompletionActual
May 2012
Last update
Feb 7, 2022
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Feb 7, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT02091154
Lead sponsor
Cornell University
Collaborators
United States Department of Agriculture (USDA)
Responsible party
Sponsor
First posted
Mar 19, 2014
Start date
Mar 2012
Primary completion
May 2012
Completion
May 2012
Last update
Feb 7, 2022

Study contacts

Adam Brumberg, BA
principal investigator · Cornell University
Kathryn Hoy, RD, MFN
principal investigator · Cornell University
David Just, PhD
study chair · Cornell University
Brian Wansink, PhD
study director · Cornell University
Andrew Hanks, PhD
principal investigator · Cornell University

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

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