Predictors of Acceptance of Cosmetic Surgery: Instagram Images-Based Activities, Appearance Comparison and Body Dissatisfaction Among Women

Background This study aimed to test a model in which Instagram images-based activities related to self, friends, and celebrities were associated with acceptance of cosmetic surgery via Instagram appearance comparison and body dissatisfaction. We predicted that Instagram use for images-related activities involving celebrities and self (but not friends) was associated with acceptance of cosmetic surgery both directly and indirectly. Methods The study participants were 305 Italian women (mean age, 23 years). They completed a questionnaire containing the Instagram Image Activity Scale, the Instagram Appearance Comparison Scale, the Body Shape Questionnaire-14, the Acceptance of Cosmetic Surgery Scale. A path analysis was performed in which the Instagram images-based activities were posited as predictors of the Instagram appearance comparison, body dissatisfaction and acceptance of cosmetic surgery, respectively. Results We found that only image-based activities related to celebrities and self were significantly related to acceptance of cosmetic surgery, whereas friends’ Instagram-related activities were not significantly related to this criterion variable. Moreover, the indirect effect of both Instagram self- and celebrities-images activities on acceptance of cosmetic surgery through Instagram appearance comparison and body dissatisfaction was significant. Friends’ Instagram images-related activities were not associated with acceptance of cosmetic surgery. Conclusions Overall, these findings provide information about the role that activities carried out on Instagram, appearance comparison and body dissatisfaction, play on the acceptance of surgery for aesthetic reasons among women. The study highlighted the importance for surgeons to consider some psychological aspects and the influence of sociocultural factors on the interest for cosmetic surgery. 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 .