Evidence map›Paper›PMID 35215550›Full record

ArticleNutrients2022

A College Fast-Food Environment and Student Food and Beverage Choices: Developing an Integrated Database to Examine Food and Beverage Purchasing Choices among College Students.

Elizabeth F Racine, Rachel Schorno, Shafie Gholizadeh, Morium Barakat Bably, Faizeh Hatami, Casey Stephens, Wlodek Zadrozny, Lisa Schulkind, Rajib Paul

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Healthy Food Policies Documented in University Food Service Contracts.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. 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

9 authors at 2 institutions in 1 country.

Elizabeth F RacineTexas A&M AgriLife Research, Texas A&M University, El Paso, TX 79927, USA.
Rachel SchornoDepartment of Public Policy, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Shafie GholizadehDepartment of Computer Science, Computing and Informatics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Morium Barakat BablyDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Faizeh HatamiDepartment of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Casey StephensDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Wlodek ZadroznyDepartment of Computer Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0003-4844-9117
Lisa SchulkindDepartment of Economics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Rajib PaulDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0002-5120-7525
University of North Carolina at Charlotte · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Universities typically offer residential students a variety of fast-food dining options as part of the student meal plan. When residential students make fast-food purchases on campus there is a digital record of the transaction which can be used to study food purchasing behavior. This study examines the association between student demographic, economic, and behavioral factors and the healthfulness of student fast-food purchases. The 3781 fast-food items sold at the University of North Carolina at Charlotte from fall 2016 to spring 2019 were given a Fast-Food Health Score. Each student participating in the university meal plan was given a Student Average Fast-Food Health Score; calculated by averaging the Fast-Food Health Scores associated with each food and beverage item the student purchased at a fast-food vendor, concession stand, or convenience store over a semester. This analysis included 14,367 students who generated 1,593,235 transactions valued at $10,757,110. Multivariate analyses were used to examine demographic, economic, and behavioral factors associated with Student Average Fast-Food Health Scores. Being of a low income, spending more money on fast-food items, and having a lower GPA were associated with lower Student Average Fast-Food Health Scores. Future research utilizing institutional food transaction data to study healthy food choices is warranted.

Indexed as

Fast FoodsUniversitiesBeveragesConsumer BehaviorHumansStudentsemerging adultsfast-food restaurantsfood sales datahealthy food scoreintegrated datasetuniversity food environment

Identifiers

PMID35215550
PMCPMC8879900
OpenAlexW4213059478

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.