Evidence map›Paper›PMID 31701378›Full record

Trial reportEating and weight disorders : EWD2020

Real women have (just the right) curves: investigating anti-thin bias in college women.

Alexandria Davies, C Blair Burnette, Suzanne E Mazzeo

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Eating and weight disorders : EWD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Alexandria DaviesDepartment of Psychology, Virginia Commonwealth University, P.O. Box 842018, Richmond, VA, 23284-2018, USA. daviesae@mymail.vcu.edu.ORCID http://orcid.org/0000-0001-6978-4788
C Blair BurnetteDepartment of Psychology, Virginia Commonwealth University, P.O. Box 842018, Richmond, VA, 23284-2018, USA.
Suzanne E MazzeoDepartment of Psychology, Virginia Commonwealth University, P.O. Box 842018, Richmond, VA, 23284-2018, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeight stigma is associated with negative mental and physical health outcomes across the body mass index (BMI) continuum. However, few studies have examined discrimination experienced by people with low body weights.

objectivesThis study explored the presence of anti-thin bias, defined as the belief that individuals at lower body weights have undesirable personality characteristics, in young adult women. Additionally, we examined perceived etiology of weight for women with underweight.

methodParticipants (N =295 women, age 18.84 ± 2.32) were randomly assigned to read one of the six vignettes about women who differed by race (White and Black) and BMI status (slightly underweight, average weight, and slightly overweight).

resultsNegative personality characteristics were more likely to be ascribed to vignette characters with under- or overweight BMIs, compared to characters with average weight BMIs. Participants were more likely to attribute underweight characters' body weight to an eating disorder (ED) compared with average or overweight characters.

conclusionResults suggest that women with under- or overweight BMIs experience greater stigmatization for their body weight than women with average BMIs, underscoring the need for research to investigate weight discrimination across the weight spectrum. LEVEL OF EVIDENCE: Level I, experimental study.

Indexed as

OverweightThinnessAdolescentAdultBody Mass IndexBody WeightFemaleHumansUniversitiesYoung AdultAttributionsEating disorderThinnessUnderweightWeight stigma

Identifiers

PMID31701378

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.