Abstract:Objective?This study aimed to investigate the epidemiological characteristics and influencing factors of acne among university students, providing a scientific basis for targeted prevention and control strategies. Methods?A cross-sectional study was conducted using a stratified random sampling strategy from May 2024 to May 2025, enrolling 123 students from a university in Shenzhen. Standardized questionnaires were administered to collect demographic data, with concurrent dermatological clinical assessments performed by certified practitioners.?Results?To explore acne-related risk factors, univariate analysis using the Chi-square test was first performed on variables including gender, academic year, lifestyle habits, skin characteristics, and family history. Statistically significant variables (P < 0.05) were subsequently included in a multivariate Logistic regression model to construct a predictive framework and evaluate the independent effects of each variable, reported as odds ratios (OR) with 95% confidence intervals (CI). The overall acne prevalence in the study population was 67.48% (83/123). Univariate analysis identified significant associations between acne occurrence and environmental perception (air quality evaluation), skin physiological traits (oily skin type), facial cleansing frequency, skincare product usage, family history of acne, and psychological stress levels (P < 0.05). Multivariate analysis demonstrated that family history exhibited the strongest risk effect (OR = 3.70, P < 0.001), followed by oily skin type (OR = 1.76, P = 0.025). Conversely, daily skincare regimen significantly reduced disease probability (OR ≈ 0.28, P = 0.002).?Conclusion?The high prevalence of acne among university youth warrants urgent attention, with its occurrence closely linked to genetic predisposition (family history) and skin physiological traits (oily skin type). Notably, standardized skincare practices, such as proper use of cleansing products, demonstrate preventive value. These findings highlight the necessity of integrating behavioral interventions with biological risk stratification in campus health management programs.