Evidence map›Paper›PMID 38041091›Full record

ArticleGlobalization and health2023

The development of a method for the global health community to assess the proportion of food and beverage companies' sales that are derived from unhealthy foods.

Lauren Bandy, Jo Jewell, Madison Luick, Mike Rayner, Yuan Li, Katherine Shats, Susan Jebb, Suying Chang, Elizabeth Dunford

Open access · goldAbstract read
In one paragraph

Article in Globalization and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Impact of food, beverage, and alcohol brand marketing on consumptive behaviors and health in children and adults: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 4 institutions in 4 countries.

Lauren BandyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. lauren.bandy@phc.ox.ac.uk.ORCID 0000-0001-5551-8390
Jo JewellUNICEF, 3 United Nations Plaza, New York, USA.
Madison LuickNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Mike RaynerNuffield Department of Population Health, University of Oxford, Oxford, UK.
Yuan LiThe George Institute for Global Health, Beijing, China.
Katherine ShatsUNICEF, 3 United Nations Plaza, New York, USA.
Susan JebbNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Suying ChangUNICEF Office for China, 12 Sanlitun Road, Chaoyang District, Beijing, China.
Elizabeth DunfordThe George Institute for Global Health, UNSW, Sydney, Australia.
University of Oxford · GBUnited Nations Children's Fund · USUniversity of North Carolina at Chapel Hill · USUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextCorporate engagement with food and beverage companies who produce food associated with health harms is a divisive topic in the global nutrition community, with high-profile cases of conflict of interest increasingly coming under scrutiny. There is a need for an agreed method to support health organizations in deciding whether and how to engage with large food and beverage manufacturers.

aimThe aim of this study was to develop a method to quantify the proportion of sales from food and beverage companies that are derived from unhealthy foods to support organizations in determining which companies might be considered high-risk for engagement.

methodsThe 2015 WHO Euro nutrient profile model was applied to 35,550 products from 1294 brands manufactured by the top 20 global food and beverage companies from seven countries (Australia, Brazil, China, India, South Africa, UK and USA). For the purpose of this study, products that met the WHO Euro criteria were classified as "healthier" and those that failed were classified as "unhealthy". Products were grouped by brand and weighted by the brand's value sales for 2020. The primary outcome was the proportion of each company's sales that were classified as unhealthy and healthier by company and category.

resultsOverall, 89% of the top 20 companies' brand sales were classified as unhealthy. For every USD$10 spent on the top 20 companies' brands, only $1.10 was spent on products considered healthier. All companies saw the majority of their sales come from unhealthy foods, including soft drinks, confectionery and snacks. None of Red Bull or Ferrero's sales were classified as healthier and less than 5% of total sales were healthier for Mondelēz, Mars, and PepsiCo. Some companies had higher proportions of sales deriving from healthier products, including Grupo Bimbo (48%), Danone (34%) and Conagra (32%), although the majority of their sales were still derived from unhealthy foods. DISCUSSION: The results presented in this study highlight the reliance the leading food and beverage companies have on sales of unhealthy products that are contributing to diet-related disease globally. The method and steps we have laid out here could be used by organizations in the global health community to identify companies that have conflicts of interest when it comes to engaging with governments, international organizations and public health bodies on issues of policy and regulation.

Indexed as

BeveragesCommerceFoodGlobal HealthDietFood IndustryHumans

Identifiers

PMID38041091
PMCPMC10690999
OpenAlexW4389239003

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.