Original Articles

Mediating Role of Social Media and Body Image in Nursing Students’ Cosmetic Surgery Acceptance: A Multicenter Structural Equation Modeling Study

Volume 13 Publish Date: September 15, 2026
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Elif Budak ERTÜRK ORCID
Department of Nursing, Başkent University Faculty of Health Sciences, Ankara, Türkiye
Sevcan Avcı IŞIK ORCID
Department of Nursing, Başkent University Faculty of Health Sciences, Ankara, Türkiye
Nilgün ÖZBAŞ ORCID
Surgical Diseases Nursing, Akdağmadeni Health College Nursing Department, Yozgat Bozok University, Yozgat, Türkiye
Caner İNCEKAŞ ORCID
Department of Biostatistics, Başkent University Faculty of Medicine, Ankara, Türkiye
Budak ERTÜRK, E., Avcı IŞIK, S., ÖZBAŞ, N., & İNCEKAŞ, C. (2026). Mediating Role of Social Media and Body Image in Nursing Students’ Cosmetic Surgery Acceptance: A Multicenter Structural Equation Modeling Study. Archives of Health Science and Research, 13, 1–11. https://doi.org/10.5152/ArcHealthSciRes.2026.25140
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Abstract

Objective: This study aimed to examine the mediating role of social media awareness of appearance and body image (BI) in accepting plastic surgery among nursing students with multicenter structural equation modeling.

Methods: This cross-sectional study was conducted between May 25, 2024, and June 30, 2024, with a total of 379 students at 2 universities (1 public and 1 private) located in metropolitan and rural areas of Türkiye. Data were collected with a sociodemographic questionnaire, Acceptance of Cosmetic Surgery (ACS) Scale, BI Scale, and Appearance-Related Social Media Consciousness (ASMC) Scale and then analyzed.

Results: Structural equation modeling revealed that ASMC exerted significant direct effects on the subdimensions of ACS (standardized β: ACS-Thoughts = −0.623, P < .001; ACS-Social = −0.270, P = .025; ACS-Personal = −0.613, P < .001). Bootstrap mediation analyses demonstrated that ASMC also produced significant indirect effects on ACS through BI (ACS-Thoughts: β = 1.051, 95% CI [0.585, 1.917], P < .001; ACS-Social: β = 0.809, 95% CI [0.428, 1.489], P < .001; ACS- Personal: β = 0.991, 95% CI [0.573, 1.750], P < .001). Appearance-related social media consciousness significantly predicted BI1, BI2, and BI4, whereas BI3 was nonsignificant, indicating that mediation primarily occurred through BI2 and BI4, while the contribution of other BI pathways was negligible. The model demonstrated acceptable fit indices

(χ2/df = 2.91; Comparative Fit Index = 0.84; root mean square error of approximation = 0.071; standardized root mean square residual = 0.079), thereby supporting the partial mediation hypothesis.

Conclusion: The findings highlight the significant influence of social media awareness on the ACS, partially mediated by BI, suggesting the need for educational interventions addressing media literacy and body perception among nursing students.

Cite this article as: Budak Ertürk E, Avcı Işık S, Özbaş N, İncekaş C. Mediating role of social media and body image in nursing students’ cosmetic surgery acceptance: a multicenter structural equation modeling study. Arch Health Sci Res. 2026, 13, 0140, doi: 10.5152/ArcHealthSciRes.2026.25140.

Article Info
Published In
Journal Archives of Health Science and Research
Volume / Issue Volume 13
Pages 1-11
History
Published Online September 15, 2026
Affiliations
Elif Budak ERTÜRK ORCID
Department of Nursing, Başkent University Faculty of Health Sciences, Ankara, Türkiye
Sevcan Avcı IŞIK ORCID
Department of Nursing, Başkent University Faculty of Health Sciences, Ankara, Türkiye
Nilgün ÖZBAŞ ORCID
Surgical Diseases Nursing, Akdağmadeni Health College Nursing Department, Yozgat Bozok University, Yozgat, Türkiye
Caner İNCEKAŞ ORCID
Department of Biostatistics, Başkent University Faculty of Medicine, Ankara, Türkiye
Cite this Article
Budak ERTÜRK, E., Avcı IŞIK, S., ÖZBAŞ, N., & İNCEKAŞ, C. (2026). Mediating Role of Social Media and Body Image in Nursing Students’ Cosmetic Surgery Acceptance: A Multicenter Structural Equation Modeling Study. Archives of Health Science and Research, 13, 1–11. https://doi.org/10.5152/ArcHealthSciRes.2026.25140
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