Evidence map›Paper›PMID 42601971›Full record

ArticleFrontiers in public health2026

Social media exposure and its association with acceptance of cosmetic surgery among adult females in Jazan.

Abdullah A Alharbi, Mohammed A Muaddi, Anas E Ahmed, Ahmad Assiri, Amr Youssef Arkoubi, Taif I Alameer, Shahad M Alharbi, Afnan H Abuzawah, Renad A Madkhali, Sawsan A Refaei and 4 more

Abstract read
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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Abdullah A AlharbiDepartment of Family and Community Medicine, College of Medicine, Jazan University, Jazan, Saudi Arabia.
Mohammed A MuaddiDepartment of Family and Community Medicine, College of Medicine, Jazan University, Jazan, Saudi Arabia.
Anas E AhmedDepartment of Family and Community Medicine, College of Medicine, Jazan University, Jazan, Saudi Arabia.
Ahmad AssiriDermatology Unit, Department of Internal Medicine, College of Medicine, Jazan University, Jazan, Saudi Arabia.
Amr Youssef ArkoubiDepartment of Anesthesia and Surgery, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
Taif I AlameerCollege of Medicine, Jazan University, Jazan, Saudi Arabia.
Shahad M AlharbiCollege of Medicine, Jazan University, Jazan, Saudi Arabia.
Afnan H AbuzawahCollege of Medicine, Jazan University, Jazan, Saudi Arabia.
Renad A MadkhaliCollege of Medicine, Jazan University, Jazan, Saudi Arabia.
Sawsan A RefaeiCollege of Medicine, Jazan University, Jazan, Saudi Arabia.
Raghd A BabaeerCollege of Medicine, Jazan University, Jazan, Saudi Arabia.
Amani A GharwiCollege of Medicine, Jazan University, Jazan, Saudi Arabia.
Amjad H MuthaffarCollege of Medicine, Jazan University, Jazan, Saudi Arabia.
Ahmad Y AlqassimDepartment of Family and Community Medicine, College of Medicine, Jazan University, Jazan, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social media exposure may be associated with women's attitudes toward cosmetic surgery, yet data from Saudi Arabia's Jazan region are lacking. Objectives: To evaluate acceptance of cosmetic surgery and its association with social media exposure among adult women in Jazan. Methods: This cross-sectional study recruited 1,206 women aged ≥18 years via WhatsApp and Snapchat between 1 and 30 January 2025. An Arabic Google Forms questionnaire included the validated Acceptance of Cosmetic Surgery Scale (ACSS), sociodemographic items, and social media behaviors. Multivariable linear regression identified factors associated with ACSS score. Results: Mean ACSS score was 58.90 (SD 25.07). Higher acceptance was observed among older participants (≥45 years: β = 11.62, 95% CI 5.32-17.92, Conclusions: Social media engagement and demographic factors were associated with cosmetic surgery acceptance among women in Jazan. These associations may have implications for media-literacy interventions, transparent content regulation, and ethical pre-procedure counseling. However, as recruitment occurred via social media apps, results may not generalize to all women in the region.

Indexed as

Social MediaSurgery, PlasticAdolescentAdultCross-Sectional StudiesDigital MediaFemaleHumansMedia ExposureMiddle AgedSaudi ArabiaSurveys and QuestionnairesYoung Adultbeauty standardscosmetic surgery acceptanceJazanperceptionSaudi Arabian womensocial media influence

Identifiers

PMID42601971
PMCPMC13472985

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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.