Objective: This study aimed to determine human papillomavirus (HPV)-related awareness and willingness to receive HPV vaccination among college students, in Wenzhou, and its associated factors. Methods: A cross-sectional epidemiological study was conducted among college students in Wenzhou to investigate their knowledge, attitude, and factors affecting their willingness to receive HPV vaccination. Results: A total of 1035 questionnaires were collected, of which 1002 were valid (males: 374, females: 628). In total, 904 (90.2%) college students had heard of HPV, with a lower rate among males than females (85.3% vs. 93.2%, p < 0.05) and 693 (69.2%) had heard of the HPV vaccine, with a significantly lower rate among males than females (53.7% vs. 78.3%, p < 0.05). Overall awareness of HPV and HPV vaccine among males and females was moderate, with lower awareness among males. A total of 55.9% of males and 80.4% of females indicated that they would be willing to receive the HPV vaccine, a significant difference (p < 0.001). The price, safety of HPV vaccine, and lack of knowledge about HPV and HPV vaccine were the major barriers to HPV vaccination for college students. Compared to females, inadequate knowledge of HPV was the main barrier factor for HPV vaccination among male college students. Conclusions: The overall knowledge level of males is lower than that of females. For male college students, providing more knowledge about HPV infection is helpful to promote their willingness to vaccinate. It is necessary to promote HPV-related knowledge for male and female college students, respectively.

Background: Most prostate cancers(PCa) rely on serum prostate-specific antigen (PSA) testing for biopsy confirmation, but the accuracy needs to be further improved. We need to continue to develop PCa prediction model with high clinical application value. Methods: Benign prostatic hyperplasia (BPH) and prostate cancer data were obtained from the Chinese National Clinical Medical Science Data Center for retrospective analysis. The model was constructed using the XGBoost algorithm, and patients’ age, body mass index (BMI), PSA-related parameters and serum biochemical parameters were used as model variables. Using decision analysis curve (DCA) to evaluate the clinical utility of the models. The shapley additive explanation (SHAP) framework was used to analyze the importance ranking and risk threshold of the variables. Results: A total of 1915 patients were included in this study, including 823 (43.0%) were BPH patients and 1092 (57.0%) were PCa patients. The XGBoost model provided better performance (AUC 0.82) compared with f/tPSA (AUC 0.75),tPSA (AUC 0.68) and fPSA (AUC 0.61), respectively. Based on SHAP values, f/tPSA was the most important variable, and the top five most important biochemical parameter variables were inorganic phosphorus (P), potassium (K), creatine kinase MB isoenzyme (CKMB), low-density lipoprotein cholesterol (LDL-C), and creatinine (Cre). PCa risk thresholds for these risk markers were f/tPSA (0.13), P (1.29 mmol/L), K (4.29 mmol/L), CKMB ( 11.6U/L), LDL-C (3.05mmol/L) and Cre (74.5-99.1umol/L). Conclusion: The present model has advantages of wide-spread availability and high net benefit, especially for underdeveloped countries and regions. Furthermore, these risk thresholds can assist in the diagnosis and screening of prostate cancer in clinical practice.