Evidence map›Paper›PMID 27756593›Full record

ArticleJournal of nutrition education and behavior2018

Development and Validation of a Technology-Based System for Tracking and Reporting Dietary Intake at School Meals.

Bradley M Appelhans, Molly A Martin, Marieli Guzman, Tamara Olinger, Andrew Pleasant, Jennifer Cabe, Lynda H Powell

Abstract read
In one paragraph

Article in Journal of nutrition education and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Validity of Weighed and Digital Photography Diet Estimation Study in a Childcare Setting.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Bradley M AppelhansDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL; Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL. Electronic address: brad_appelhans@rush.edu.
Molly A MartinDepartment of Pediatrics, University of Illinois at Chicago, Chicago, IL.
Marieli GuzmanDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL.
Tamara OlingerDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL.
Andrew PleasantCanyon Ranch Institute, Tucson, AZ.
Jennifer CabeCanyon Ranch Institute, Tucson, AZ.
Lynda H PowellDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL; Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL; Department of Internal Medicine, Rush University Medical Center, Chicago, IL; Department of Pharmacology, Rush University Medical Center, Chicago, IL.

Funding

STRESS MEASURES/PSYCHOMETRICSP50HL105189 · NHLBI · RUSH UNIVERSITY MEDICAL CENTER · PI POWELL, LYNDA H · 2010 to 2014
$10.5M
NHLBI NIH HHS P50 HL105189
6 · The paper itself

Abstract

objectiveThis report describes the development and validation of a technology-based system that integrates data on food choice, nutrition, and plate waste to generate feedback reports summarizing students' dietary intake at school meals.

methodsCafeteria staff used the system to document the school lunch choices of seventh-graders (n = 37) in an urban charter school for 5 months. Plate waste was assessed by research staff using a visual estimation method that was validated against directly weighed plate waste.

resultsMost food choices (97.1%) were correctly recorded through the system. Visual estimates of plate waste had excellent interrater reliability (r's ≥ .94) and agreement with direct measurements (ρ's ≥ .75). Plate waste assessment required approximately 10 s/tray. Fifty-four percent of parents received feedback reports consistently. CONCLUSIONS AND IMPLICATIONS: The technology-based system enabled staff to monitor dietary intake accurately at school meals. The system could potentially inform lunch menu modifications aimed at reducing plate waste.

Indexed as

Child Nutrition SciencesData CollectionDiet RecordsAdolescentAdultChildFemaleFood PreferencesFood ServicesHumansMaleMealsParentsReproducibility of ResultsSchoolsNational School Lunch Programplate wastepreventionschool nutritiontechnology

Identifiers

PMID27756593
PMCPMC5392376

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.