Evidence map›Paper›PMID 24358291›Full record

ArticlePloS one2013

Overweight people have low levels of implicit weight bias, but overweight nations have high levels of implicit weight bias.

Maddalena Marini, Natarajan Sriram, Konrad Schnabel, Norbert Maliszewski, Thierry Devos, Bo Ekehammar, Reinout Wiers, Cai HuaJian, Mónika Somogyi, Kimihiro Shiomura and 14 more

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  7. Review
  8. Weightism in Asia: A Narrative Review and Implications for Practice.Journal of obesity & metabolic syndrome · 2024
    Review
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  10. Article
  11. Observational
  12. 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

24 authors.

Maddalena MariniDepartment of Psychology, University of Virginia, Charlottesville, Virginia, United States of America ; Department of Communication and Economics, University of Modena and Reggio Emilia, Reggio Emilia, Italy.
Natarajan SriramDepartment of Psychology, University of Virginia, Charlottesville, Virginia, United States of America.
Konrad SchnabelDepartment of Psychology, University of Potsdam, Potsdam, Germany.
Norbert MaliszewskiDepartment of Psychology, Warsaw University, Warsaw, Poland.
Thierry DevosDepartment of Psychology, San Diego State University, San Diego, California, United States of America.
Bo EkehammarDepartment of Psychology, Stockholm University, Stockholm, Sweden.
Reinout WiersDepartment of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
Cai HuaJianInstitute of Psychology, Chinese Academy of Sciences, Beijing, China.
Mónika SomogyiDepartment of Psychology, Eötvös Loránd University, Budapest, Hungary.
Kimihiro ShiomuraFerris University, Yokohama, Japan.
Simone SchnallDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Félix NetoFaculdade de Psicologia e de Ciências da Educação, Universidade do Porto, Porto, Portugal.
Yoav Bar-AnanDepartment of Psychology, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Michelangelo VianelloDepartment of Applied Psychology, University of Padova, Padova, Italy.
Alfonso AyalaInstituto Electoral Veracruzano, Xalapa, Mexico.
Gabriel DorantesFacultad de Psicología, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, México.
Jaihyun ParkDepartment of Psychology, Baruch College-City University of New York, New York, NY.
Selin KesebirLondon Business School, Regent's Park, London, UK.
Antonio PereiraBrain Institute Federal, University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Bogdan TulbureDepartment of Psychology, Transilvania University of Brasov, Brasov, Romania.
Tuulia OrtnerDepartment of Psychology, Division of Psychological Assessment, University of Salzburg, Salzburg, Austria.
Irena StepanikovaUniversity of South Carolina, Sloan College, Columbia, South Carolina, United States of America.
Anthony G GreenwaldDepartment of Psychology, University of Washington, Seattle, Washington, United States of America.
Brian A NosekDepartment of Psychology, University of Virginia, Charlottesville, Virginia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although a greater degree of personal obesity is associated with weaker negativity toward overweight people on both explicit (i.e., self-report) and implicit (i.e., indirect behavioral) measures, overweight people still prefer thin people on average. We investigated whether the national and cultural context - particularly the national prevalence of obesity - predicts attitudes toward overweight people independent of personal identity and weight status. Data were collected from a total sample of 338,121 citizens from 71 nations in 22 different languages on the Project Implicit website (https://implicit.harvard.edu/) between May 2006 and October 2010. We investigated the relationship of the explicit and implicit weight bias with the obesity both at the individual (i.e., across individuals) and national (i.e., across nations) level. Explicit weight bias was assessed with self-reported preference between overweight and thin people; implicit weight bias was measured with the Implicit Association Test (IAT). The national estimates of explicit and implicit weight bias were obtained by averaging the individual scores for each nation. Obesity at the individual level was defined as Body Mass Index (BMI) scores, whereas obesity at the national level was defined as three national weight indicators (national BMI, national percentage of overweight and underweight people) obtained from publicly available databases. Across individuals, greater degree of obesity was associated with weaker implicit negativity toward overweight people compared to thin people. Across nations, in contrast, a greater degree of national obesity was associated with stronger implicit negativity toward overweight people compared to thin people. This result indicates a different relationship between obesity and implicit weight bias at the individual and national levels.

Indexed as

Body WeightPrejudiceSelf ConceptStereotypingAdolescentAdultAgedAged, 80 and overFemaleGeographyHumansMaleMiddle AgedNegativismOverweightSocial Perception

Identifiers

PMID24358291
PMCPMC3866190

What OpenQuestion holds

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LicenceCC BY
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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.