Evidence map›Paper›PMID 41606254›Full record

ArticleCommunications psychology2026

Perceptual exposure influences body size perceptions and anti-fat attitudes.

K L Neuenswander, E Hehman, K L Johnson

Abstract read
In one paragraph

Article in Communications psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

K L NeuenswanderDepartment of Psychology, University of Toronto, Toronto, ON, Canada. kelsey.neuenswander@utoronto.ca.ORCID http://orcid.org/0000-0002-3441-344X
E HehmanDepartment of Psychology, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0003-2227-1517
K L JohnsonDepartment of Psychology, University of California, Los Angeles, CA, USA.

Funding

National Science Foundation (NSF) BCS-2017245
6 · The paper itself

Abstract

Anti-fat attitudes are pervasive and contribute to deleterious social and health outcomes. The following research investigates perceptual exposure (i.e., visual exposure to larger bodies) as a potential mechanism for reducing anti-fat attitudes across various contexts and methodologies. Perceptual exposure in primary environments (i.e., the body sizes of people encountered in daily life) was examined using aggregated county-level data from the United States. Regions with higher adult obesity rates, indicating greater exposure to larger bodies, were associated with lower explicit but higher implicit anti-fat attitudes. Perceptual exposure in media (i.e., the body sizes of people in advertisements) was assessed using France's ban on extremely thin fashion models. Prior to the ban, explicit anti-fat attitudes increased over time. Following the ban, and coinciding with increased representation of larger bodies in French media, explicit anti-fat attitudes decreased. The impact on implicit attitudes was inconsistent. To test the mechanism underlying the relationship between perceptual exposure and attitudes, a two-week longitudinal experiment exposed participants to thin or fat bodies for three minutes daily. Exposure to fat bodies increased the threshold for categorizing bodies as fat, whereas exposure to thin bodies lowered it. Attitudes did not significantly change after two weeks. Together, these findings suggest that perceptual exposure influences body size categorization thresholds and may, over time, contribute to improvements in explicit anti-fat attitudes. The differential effects on explicit and implicit attitudes, as well as limitations and future directions, are discussed.

Identifiers

PMID41606254
PMCPMC12852812

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.