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Updated: May 28, 2025

Quantification of Orofacial Phenotypes in Xenopus
Published on: November 6, 2014
Patient Factors That Impact FACE-Q Aesthetics Outcomes: An Exploratory Cross-sectional Regression Analysis
Patient characteristics like BMI, ethnicity, and gender predict outcomes from facial aesthetic treatments. Understanding these factors is crucial for accurate research using the FACE-Q Aesthetics tool.
Area of Science:
- Aesthetic Medicine
- Patient-Reported Outcomes
- Cosmetic Surgery Research
Background:
- The FACE-Q Aesthetics is a validated instrument for evaluating outcomes of facial aesthetic procedures.
- Identifying patient-specific variables is key to controlling confounders in research.
Purpose of the Study:
- To determine factors predicting scores on the FACE-Q Aesthetics scales.
- To enhance the interpretability of patient-reported outcomes in facial aesthetics.
Main Methods:
- A cross-sectional survey of 1259 participants who underwent noninvasive facial aesthetic procedures.
- Inclusion criteria: age 20+, procedures within the past year.
- Statistical analysis using univariable and multivariable linear regression.
Main Results:
- Lower BMI, African American ethnicity, male gender, Fitzpatrick skin Type V, US residency, financial stability, and prior treatment effects predicted higher scores.
- Younger age correlated with higher Face Overall scores.
- Mean scores: Face Overall (52.4), Psychological (56.5), Social (62.7).
Conclusions:
- Several demographic and clinical factors significantly predict patient-reported outcomes on the FACE-Q Aesthetics scales.
- These findings highlight the importance of considering patient-specific variables in research and clinical practice.
- Accounting for these predictors will improve the validity of future studies using the FACE-Q tool.
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