Integrating Psychological Insights into Aesthetic Medicine: A Cross-Generational Analysis of Patient Archetypes (IMPACT Study)

Aesthetic medicine has evolved significantly, accommodating diverse demographics and motivations influenced by societal shifts and technological advancements. The IMPACT (integrative multigenerational psychological analysis for cosmetic treatment) study refines patient archetypes, integrating psychological theories to tailor treatments, especially for younger demographics and LGBTQIA + communities. This cross-sectional study utilized a comprehensive, validated survey with a Cronbach's alpha of 0.89 and a Content Validity Index (CVI) of 0.92, distributed across a globally diverse, generationally stratified sample. Techniques like regression analysis, ANOVA, Bayesian modelling, and factor analysis were employed to analyse the data, focusing on developing nuanced patient archetypes. Among 5645 participants, 5340 complete responses highlighted significant generational differences in aesthetic preferences. Millennials showed a strong preference for non-invasive procedures (β = 0.65, p < 0.001). ANOVA results confirmed significant variances across generations [F (3, 5118) = 157.6, p < 0.001], with post-hoc analyses delineating specific inter-group differences. Bayesian modelling provided insights into the probability of non-invasive preferences among younger cohorts at over 92% certainty. Factor analysis revealed key dimensions such as 'Generational Influence' and 'Technological Adoption,' which helped in defining archetypes including Dynamic Self-Identity, Digital Native, Stability Seeker, Classic Conservatism, and Holistic Health, collectively explaining up to 78% of the variance in responses. The IMPACT study underscores the influence of generational identity and digital exposure on aesthetic preferences, advocating for personalized, archetype-based treatment approaches. This aligns with enhancing patient satisfaction and treatment outcomes, promoting an adaptive aesthetic medicine practice that meets the evolving needs of modern patients. 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 .