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Cited by 314

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Impact of Perceived Consensus on Stereotypes About Obese People: A New Approach for Reducing Bias.

Puhl, Rebecca M., Schwartz, Marlene B., Brownell, Kelly D.·2005·Health Psychology

Abstract

In 3 experiments, the authors tested the effect of perceived social consensus on attitudes toward obese people. Participants completed self-report measures of attitudes toward obese people prior to and after manipulated consensus feedback depicting attitudes of others. In Study 1 (N=60), participants decreased negative and increased positive stereotypes after learning that others held more favorable attitudes toward obese people. In Study 2 (N=55), participants improved attitudes when they learned about favorable attitudes of obese people from an in-group versus an out-group source. In Study 3 (N=200), a consensus approach was compared with other stigma reduction methods. Social consensus feedback influenced participants' attitudes and beliefs about causes of obesity. Providing information about the uncontrollable causes of obesity and supposed scientific prevalence of traits also improved attitudes.

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Metadata

Authors
Puhl, R. M., Schwartz, M. B., & Brownell, K. D.
Venue
Health Psychology
Published
2005-09
Volume
24
Issue
5
Pages
517-525
ISSN
  • 0278-6133 (ISSN-L)
  • 1930-7810
OpenAlex
W2000706560
Cited by
314
References
7
FWCI
24.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Impact of Perceived Consensus on Stereotypes About Obese People: A New Approach for Reducing Bias. https://app.cochat.ai/papers/10.1037/0278-6133.24.5.517
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Puhl, R. M., Schwartz, M. B., & Brownell, K. D. (2005). Impact of Perceived Consensus on Stereotypes About Obese People: A New Approach for Reducing Bias. Health Psychology. https://doi.org/10.1037/0278-6133.24.5.517

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.