Evidence map›Paper›PMID 37754591›Full record

ArticleInternational journal of environmental research and public health2023

School-Level Socioeconomic Status and Nutrient Content of Outdoor Food/Beverage Advertisements.

Phoebe R Ruggles, Jacob E Thomas, Natalie S Poulos, Keryn E Pasch

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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. 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

4 authors.

Phoebe R RugglesDepartment of Kinesiology & Health Education, University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-5729-4781
Jacob E ThomasDepartment of Kinesiology & Health Education, University of Texas at Austin, Austin, TX 78712, USA.
Natalie S PoulosSchool of Community and Rural Health, Heath Science Center, The University of Texas at Tyler, Tyler, TX 78708, USA.
Keryn E PaschDepartment of Kinesiology & Health Education, University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-9267-2765

Funding

Unhealthy Food and Beverage Advertising Around SchoolsR03CA158962 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI PASCH, KERYN E · 2011 to 2012
$143k
NCI NIH HHS R03 CA158962
6 · The paper itself

Abstract

We examined if areas around schools with more students of lower socioeconomic status (SES) have more total food/beverage advertisements and/or more advertisements with poorer nutritional content as compared to areas around schools with fewer students with lower SES. All outdoor food/beverage advertisements within a half-mile radius of 47 middle and high schools in the United States were objectively documented in 2012 and coded for nutritional content. The total number of advertisements and the macronutrient and micronutrient contents (total calories, fat (g), protein (g), carbohydrate (g), sugar (g), and sodium (mg)) of food and beverage items depicted in the advertisements were calculated. In total, 9132 unique advertisements were recorded, with 3153 ads displaying food and beverages that could be coded for nutrient content. Schools located in areas of lower SES (≥60% students receiving free/reduced-price lunch) had significantly more advertisements displaying food and beverages that could be coded for nutrient content (z = 2.01,

Indexed as

AdvertisingBeveragesCarbohydratesHumansMicronutrientsNutrientsSchoolsSocial ClassSugarsCarbohydratesMicronutrientsNutrientsSugarsfood/beverage advertisingmarketingoutdoor advertisingschoolsSESyouth

Identifiers

PMID37754591
PMCPMC10530988

What OpenQuestion holds

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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.