Evidence map›Paper›PMID 31952317›Full record

ArticleFoods (Basel, Switzerland)2020

Fats are Glossy but Does Glossiness Imply Fatness? The Influence of Packaging Glossiness on Food Perceptions.

Laura De Kerpel, Barbara Kobuszewski Volles, Anneleen Van Kerckhove

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Visual communication via the design of food and beverage packaging.Cognitive research: principles and implications · 2022
    Review
  5. Review
  6. Article
  7. How Visuals Affect Food Choice.Foods (Basel, Switzerland) · 2020
    Article
  8. Review
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.

Laura De KerpelDepartment of Marketing, Innovation and Organisation, Faculty of Economics and Business Administration, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-6298-0708
Barbara Kobuszewski VollesDepartment of Marketing, Innovation and Organisation, Faculty of Economics and Business Administration, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-4993-0204
Anneleen Van KerckhoveDepartment of Marketing, Innovation and Organisation, Faculty of Economics and Business Administration, Ghent University, 9000 Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research brings together two research streams, one focusing on the influence of a diverse set of packaging attributes (e.g., shape, size, color, etc.) on perceptions of packaged food and the second one on the up- and downsides of using glossy materials, which are often studied in a non-food context. The current research deals with the influence of glossy (versus matte) food packages on consumers' perceptions of the food inside the package. With one online survey and one quasi-experiment, we show that consumers draw inferences on the food's fat level from the package surface, in that glossy packages are seen as a signal of fatness. This association is specific; consumers do not associate glossiness with every unhealthy product aspect. Sugar levels are unaffected by the package surface. However, due to the higher inferred fat level, a product in a glossy package is perceived to be less healthy, less tasty, and low in quality and product expensiveness. Thus, these findings suggest that glossy (versus matte) food packages mainly serve as a signal of negative product qualities.

Indexed as

consumer perceptionevolved associationfood packagingglossy surfacehealthy inferences

Identifiers

PMID31952317
PMCPMC7022501

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.