Evidence map›Paper›PMID 30941913›Full record

ArticleObesity (Silver Spring, Md.)2019

Blatant Dehumanization of People with Obesity.

Inge Kersbergen, Eric Robinson

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Target Weight and Gender Moderate Anti-Black Bias in Pain Perception.Social psychological and personality science · 2025
    Article
  3. Article
  4. Article
  5. Role of the media in promoting the dehumanization of people who use drugs.The American journal of drug and alcohol abuse · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

2 authors.

Inge KersbergenDepartment of Psychological Sciences, University of Liverpool, Liverpool, UK.ORCID 0000-0002-8799-8963
Eric RobinsonDepartment of Psychological Sciences, University of Liverpool, Liverpool, UK.

Funding

Medical Research Council MR/N000218/1
6 · The paper itself

Abstract

objectiveStigmatization of obesity is common, but whether this stigma extends to people with obesity also being considered less human than individuals without obesity has not been examined. This study investigated whether people with obesity are blatantly dehumanized (i.e., explicitly considered to be less human and more animallike) and whether this predicts obesity discrimination.

methodsIn four online studies (total N = 1,506) with American, British, and Indian participants, evidence for blatant dehumanization of people with obesity was examined. Whether blatant dehumanization of people with obesity was moderated by BMI and to what extent blatant dehumanization predicted support for weight discrimination were also investigated.

resultsIn all studies, participants believed that people with obesity were less evolved and less human than people without obesity. Although blatant dehumanization of people with obesity was most pronounced among thinner participants, the belief that people with obesity were less human was also observed among participants with class I obesity. Finally, dehumanization was predictive of support for policies that discriminate against people living with obesity.

conclusionsThis study provides the first evidence that people with obesity are blatantly dehumanized. This tendency to consider people with obesity as less human reveals the level of obesity stigma and may facilitate and/or justify weight discrimination.

Indexed as

DehumanizationSocial StigmaAdultFemaleHumansMaleObesity

Identifiers

PMID30941913
PMCPMC6563065

What OpenQuestion holds

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LicenceCC BY
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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.