Hepatitis B virus infection seromarkers among college freshmen and their immune responses to different vaccination policies of hepatitis B vaccine

Identification of associated risk factors for serological distribution of hepatitis B virus via machine learning models

BACKGROUND

The provincial-level sero-survey was launched to learn the updated seroprevalence of hepatitis B virus (HBV) infection in the general population aged 1-69 years in Chongqing and to assess the risk factors for HBV infection to effectively screen persons with chronic hepatitis B (CHB).

METHODS

A total of 1828 individuals aged 1-69 years were investigated, and hepatitis B surface antigen (HBsAg), antibody to HBsAg (HBsAb), and antibody to B core antigen (HBcAb) were detected. Logistic regression and three machine learning (ML) algorithms, including random forest (RF), support vector machine (SVM), and stochastic gradient boosting (SGB), were developed for analysis.

RESULTS

The HBsAg prevalence of the total population was 3.83%, and among persons aged 1-14 years and 15-69 years, it was 0.24% and 4.89%, respectively. A large figure of 95.18% (770/809) of adults was unaware of their occult HBV infection. Age, region, and immunization history were found to be statistically associated with HBcAb prevalence with a logistic regression model. The prediction accuracies were 0.717, 0.727, and 0.725 for the proposed RF, SVM, and SGB models, respectively.

CONCLUSIONS

The logistic regression integrated with ML models could helpfully screen the risk factors for HBV infection and identify high-risk populations with CHB.

Analysis of Knowledge, Attitude and Practice of Hepatitis B Among Freshmen in Jiangsu Based on Lasso-Logistic Regression and Structural Equation Model

Objective

We aimed to describe the knowledge, attitude and practice (KAP) status of hepatitis B virus (HBV) among freshmen who were in the class of 2020 and from Jiangsu Province.

Methods

A random multistage sampling had been used to screen freshmen to conduct online questionnaire. The chi-square test was applied for pairwise comparison between sub-groups. Lasso regression and logistic regression were used to analyze the influencing factors of KAP about HBV. A structural equation model was established to explore the relationships among KAP of HBV.

Results

The total awareness rate of HBV among freshmen was 63.1%. More than 50% of freshmen reported that they were not willing to live with hepatitis B carriers. Only 51.0% of students had been immunized against HBV. The knowledge of HBV among students whose fathers had college/bachelor degree or above was 1.464 times higher than those whose fathers’ education level was junior high school or below (95% CI = 1.277~1.677). Both of positive attitude and behavior among female students were 1.424 times (95% CI = 1.329~1.525) and 1.468 times (95% CI = 1.291~1.669) than that within male students, respectively. The positive behaviors of students whose mothers had college education or above were 1.347 times higher than those whose mothers had the degree of junior high or below (95% CI = 1.147~1.582). Students who living with their parents were 1.167 times likely to have positive behaviors than those who living in other methods (95% CI = 1.020~1.334). The structural equation model had shown that the direct effect of knowledge on preventive motivation, attitude and behavior was 0.28, 0.53 and 0.10, respectively.

Conclusion

The population of freshmen still was far from a comprehensive understanding of HBV prevention and treatment. It is suggested that administrators of colleges and universities should pay more attentions to education of HBV knowledge as well as take multi-channel measures for prevention and management.