Evidence map›Paper›PMID 32138233›Full record

ArticleInternational journal of environmental research and public health2020

Food Industry Donations to Academic Programs: A Cross-Sectional Examination of the Extent of Publicly Available Data.

Marie A Bragg, Brian Elbel, Marion Nestle

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Marie A BraggDepartment of Population Health, New York University School of Medicine, New York, NY 10016, USA.
Brian ElbelDepartment of Population Health, New York University School of Medicine, New York, NY 10016, USA.
Marion NestleDepartment of Nutrition and Food Studies, New York University Steinhardt School of Culture, Education, and Human Development, New York, NY 10003, USA.

Funding

Impact of Racially Targeted Food and Beverage Ads on Adolescent BehaviorDP5OD021373 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRAGG, MARIE · 2015 to 2019
$2.1M
NIH HHS DP5 OD021373
6 · The paper itself

Abstract

No studies have documented the prevalence of the food industry's funding of academic programs, which is problematic because such funding can create conflicts of interest in research and clinical practice. We aimed to quantify the publicly available information on the food industry's donations to academic programs by documenting the amount of donations given over time, categorizing the types of academic programs that receive food industry donations, cataloguing the source of the donation information, and identifying any stated reasons for donations. Researchers cataloged online data from publicly available sources (e.g., official press releases, news articles, tax documents) on the food industry's donations to academic programs from 2000 to 2016. Companies included 26 food and beverage corporations from the 2016 Fortune 500 list in the United States. Researchers recorded the: (1) monetary value of the donations; (2) years the donations were distributed; (3) the name and type of recipient; (4) source of donation information; and (5) reasons for donations. Adjusting for inflation, we identified $366 million in food industry donations (N = 3274) to academic programs. Universities received 45.2% (

Indexed as

Conflict of InterestDisclosureFood IndustrySchoolsCross-Sectional StudiesOrganizationsPrevalenceUnited Statesacademic donationsconflicts of interestfood industry

Identifiers

PMID32138233
PMCPMC7084227

What OpenQuestion holds

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Registered trials

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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.