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Is Women's Happiness and Life Satisfaction a Determinant of Cosmetic Surgery Acceptance? Latent Profile Analysis
Yağmur Sürmeli Akbal1, Esma Gökçe2
1Viranşehir School of Health Sciences, Department of Nursing, Harran University, Şanlıurfa, Türkiye.
Background:
This study aimed to investigate the acceptance of cosmetic surgery among women in relation to their happiness and life satisfaction.
Methods:
A cross-sectional, descriptive-correlational study employing latent profile analysis was conducted. An online survey was administered to 422 women between November 2024 and February 2025. Data were collected using a Sociodemographic Form, the Cosmetic Surgery Acceptance Scale, the Oxford Happiness Questionnaire-Short Form, and the Contentment with Life Assessment Scale.
Results:
Participants reported moderate average levels of happiness, life satisfaction, and cosmetic surgery acceptance. Correlation analysis revealed a significant positive relationship between happiness and life satisfaction. However, neither happiness nor life satisfaction showed a significant overall correlation with cosmetic surgery acceptance. In the latent profile analysis, participants were divided into three different groups as low (Class1), medium (Class2) and high (Class3) in cosmetic surgery acceptance. In the analysis, it was found that of the three acceptance groups defined, the high acceptance group had higher scores for happiness and life satisfaction than the other groups. In the logistic regression analysis, it was seen that sociodemographic variables had the potential to increase cosmetic surgery acceptance levels, but it was not found to be statistically significant.
Conclusion:
Happiness and life satisfaction are interrelated but do not predict overall acceptance of cosmetic surgery. The high acceptance group exhibited greater psychological well-being, revealing the heterogeneity of acceptance. Sociodemographic variables did not prove predictive. The findings call traditional assumptions into question.
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 .
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