Abstract: OBJECTIVE To investigate the classification of high-risk human papilloma virus (HPV) infection in patients with cervical lesions and its influencing factors, and to construct a logistic regression equation model of risk factors. METHODS A total of 104 patients with cervical lesions admitted to the Central People's Hospital of Ji'an from Dec 2021 to Dec 2022 were retrospectively analyzed. According to whether high-risk HPV infection occurred, they were divided into the infection group (63 cases) and the non-infection group (41 cases). The distribution of cervical lesions and high-risk HPV typing in the infection group was statistically analyzed. The risk factors of high-risk HPV infection in patients with cervical lesions were analyzed by univariate and multivariate analysis, and the risk factor model was established. The receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of the risk factor for high-risk HPV infection in patients with cervical lesions. RESULTS There were 63 cases of high-risk HPV infection in 104 patients with cervical lesions, and the incidence of high-risk HPV infection was 60.58%. Among the 63 high-risk HPV patients with cervical lesions, cervical intraepithelial neoplasia (CIN) grade I, CIN Ⅱ and CIN Ⅲ were the main types, and the main HPV subtypes detected were HPV16, HPV18 and HPV58, accounting for 33.33%, 28.57% and 19.05%, respectively. Multivariate logistic analysis showed that young age of the first sexual intercourse, more births, more abortions, ≥2 sexual partners and genital tract inflammation were risk factors for high-risk HPV infection in patients with cervical lesions (P＜0.05). The risk factor model was established as follows: Logit (P) =-11.147+0.982× young age of first sexual intercourse +1.112× more births >1+0.987× more abortions >1+0.942× number of sexual partners +1.045× genital tract inflammation. The ROC curve for predicting the occurrence of high-risk HPV infection in patients with cervical lesions was plotted, which showed that the diagnostic sensitivity was 85.71%, and the specificity was 75.61%. CONCLUSION Patients with cervical lesions had a high probability of being infected with high-risk HPV. Young age of the first sexual intercourse, more parity and abortion, more sexual partners and genital tract inflammation are closely related to the occurrence of high-risk HPV infection in patients with cervical lesions. Therefore, it is of high value to establish a risk factor model to predict the infection of high-risk HPV in patients with cervical lesions. It is necessary for the hospital to take early targeted prevention and intervention measures based on the model so as to reduce the risk of high-risk HPV and the incidence of cervical lesions.