Evidence map›Paper›PMID 36073156›Full record

ArticlePublic health nutrition2022

Market concentration and the healthiness of packaged food and non-alcoholic beverage sales across the European single market.

Iris Van Dam, Olivier Allais, Stefanie Vandevijvere

Abstract read
In one paragraph

Article in Public health nutrition, 2022. 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
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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.

Iris Van DamUniversité Paris-Saclay, INRAE, UR ALISS, Ivry-Sur-Seine, France.
Olivier AllaisUniversité Paris-Saclay, INRAE, UR ALISS, Ivry-Sur-Seine, France.
Stefanie VandevijvereSciensano, Service of Lifestyle and Chronic Diseases, Ernest Blerotstraat 1, 1070 Anderlecht, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the relationship between market concentration and diversity, as indicators of market structure, and the healthiness of food and beverage sales across Europe.

designMarket share (MS) data per country were used to calculate market concentration, assessed by the four-firm concentration ratio and market diversity, and by the number of companies with ≥1 % MS and the number of companies uniquely present in one European country. The healthiness of food sales was assessed by applying the NOVA classification (level of processing). Simple and multiple linear regressions were performed to assess the relationship between market concentration, diversity and the healthiness of food and beverage sales.

settingThe European single market.

participantsThe twenty-seven European single market member states for which Euromonitor sales data were available at the most fine-grained Euromonitor packaged food and non-alcoholic beverage product subcategory level.

resultsIncreased market concentration with a country and a product category fixed effect significantly predicted increased sales of ultra-processed packaged food products. There was insufficient data variability in the level of processing of non-alcoholic beverage product categories to formulate conclusions for non-alcoholic beverages. Increased market diversity in turn significantly predicted reduced country-level sales of ultra-processed products.

conclusionsThe results indicated a relationship between market structure and the healthiness of packed food products sold on the European market. However, more research with detailed nutritional data is warranted to document and quantify this interaction.

Indexed as

BeveragesFoodCommerceEuropeFood SupplyHumansEuropeFood environmentsFood industryFood supplyMarket powerMarket structureNOVA

Identifiers

PMID36073156
PMCPMC9991654

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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.