Evidence map›Paper›PMID 37737876›Full record

ArticleAesthetic plastic surgery2023

The Effect of Social Media Usage, Appearance-Related Social Media Pressure and Body Mass Index on Body Appreciation of Cosmetic Procedure Patients.

Mehmet Sonmez, Elif Esiyok

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Article in Aesthetic plastic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

2 authors.

Mehmet SonmezDepartment of Plastic, Reconstructive and Aesthetic Surgery, Yildirim Beyazit University, Ankara Sehir Hastanesi, Universiteler Mah. 1604. Cad. No:9, 06800, Cankaya, Ankara, Turkey. mehmet_snmz@hotmail.com.ORCID 0000-0001-5466-883X
Elif EsiyokDepartment of Public Relations and Advertising, Atilim University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of cosmetic procedures has increased in recent years. Social media use and its effects on plastic surgery decisions are among the most widely discussed topics. This study aimed to test a research model that explores the relationship between social media usage frequency, appearance-related social media pressure, and body mass index (BMI) on the body appreciation of patients undergoing cosmetic procedures, and to evaluate their clinical impacts.

methodsIn total, 136 participants were included in this study, which met and exceeded the sample size requirement. The questionnaire was designed by using reliable scales and demographic data. Partial least squares structural equation modeling was used to test the hypothesized research model.

resultsThe mean age of the participants was 35 years, and 70% had normal BMI scores. Among them, 59.6% underwent invasive procedures and 40.4% underwent minimally invasive procedures. BMI negatively affected body appreciation (β = 0.199, p < 0.05). Social media did not have a significant effect on appearance-related social media pressure (β = 0.001, p > 0.05). Appearance-related social media pressure negatively affected body appreciation (β = - 0.280. p > 0.05).

conclusionSocial media is not only an information source but also creates pressure on appearance. Therefore, plastic surgeons should use social media and consider the psychology of patients during their communication. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

Plastic Surgery ProceduresSocial MediaSurgery, PlasticAdultBody Mass IndexHumansSurveys and QuestionnairesBody appreciationBody mass indexCosmetic procedurePressureSocial media

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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.