Evidence map›Paper›PMID 35785000›Full record

ArticleCureus2022

Shifting the Standard of Beauty: Beginning of the Body Inclusive Model.

Jaclyn B Anderson, Melissa R Laughter, Jonny Hatch, Payal Patel, Mayra Maymone, Neelam A Vashi

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Jaclyn B AndersonDepartment of Dermatology, University of Colorado School of Medicine, Denver, USA.
Melissa R LaughterDepartment of Dermatology, University of Colorado School of Medicine, Denver, USA.
Jonny HatchMedicine, Texas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, USA.
Payal PatelDepartment of Dermatology, University of Illinois at Chicago, Chicago, USA.
Mayra MaymoneDepartment of Dermatology, Brown University, Providence, USA.
Neelam A VashiDepartment of Dermatology, Boston University School of Medicine, Boston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile the American standard of beauty idolizes unattainable thinness, social media exposure has been instrumental in crafting a more inclusive perception of beauty.

methodsUsing several websites with public data on models, we gathered body measurements and characteristics of both plus-size and the overall top 10 paid mainstream models. We then collected social media data for these models using the social media analytics tool called Social Blade. We compared social media data between plus-size and mainstream models.

resultsWhile plus-size models have increased BMI, the waist/hip ratio was 0.74 on average, compared to 0.71 in mainstream models. The average social media following among the top 10 plus-size models was 3.8 million compared to 38 million amongst the top 10 mainstream models (p = 0.039). There was no significant difference between the average likes per post, average comments per post, and total posts between the top mainstream models and top plus-size models (p-values 0.11, 0.12, and 0.15, respectively).

conclusionWith the changing societal body image in America, plus-size models have gained in popularity and positively impacted a body-inclusive model of beauty. However, the mainstream model still prevails as the social media powerhouse of influence.

Indexed as

body imageperception of beautyplus-size modelssocial mediawaist-hip ratio

Identifiers

PMID35785000
PMCPMC9249464

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.