Prevalence and influencing factors of hepatitis B among a rural residential population in Zhejiang Province, China: a cross-sectional study.

Shigui Yang, Cheng Ding, Yuanxia Cui, Jie Wu, Chengbo Yu, Ping Chen, Kaijin Xu, Min Deng, Yiping Li, Juanjuan Liu, Pei Yin, Wen Ren, Yan Qiu, Qing Cao, Yuqing Zhou, Jun Yao, Bing Ruan, Jingjing Ren, Lanjuan Li
Author Information
  1. Shigui Yang: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  2. Cheng Ding: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  3. Yuanxia Cui: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  4. Jie Wu: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  5. Chengbo Yu: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  6. Ping Chen: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  7. Kaijin Xu: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  8. Min Deng: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  9. Yiping Li: Zhejiang Institute of Medical Care Information Technology, Hangzhou, China.
  10. Juanjuan Liu: Department of General Practice, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  11. Pei Yin: Department of General Practice, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  12. Wen Ren: Department of General Practice, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  13. Yan Qiu: Department of General Practice, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  14. Qing Cao: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  15. Yuqing Zhou: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  16. Jun Yao: Department of Immunization, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
  17. Bing Ruan: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  18. Jingjing Ren: Department of General Practice, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  19. Lanjuan Li: State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.

Abstract

OBJECTIVES: To reveal the prevalence and associated influencing factors of hepatitis B among a rural residential population in Zhejiang, China, in order to help develop specific control strategies.
METHODS: We conducted a cross-sectional study among a rural residential population in Zhejiang, China. Stratified multistage cluster sampling was utilised in five districts; a structured questionnaire was used to collect the information such as age, gender, education, occupation, living status, and other health related information of the participants by trained local staff; and the hepatitis B virus (HBV) infection status of the participants was determined by the chemiluminescence immunoassay test. Univariate and multivariate analyses were applied to evaluate the influencing factors of HBV infection. The odds ratio of each related factor was assessed with or without adjustment separately.
RESULTS: The mean age of the 16 601 participants (7881 males and 8720 females) who completed the survey was 40.28±19.47 years. The positive rate of hepatitis B surface antigen (HBsAg) was 4.04% (95% CI 3.74% to 4.35%), and 3.85% when standardised by age and gender. Univariate analysis showed that age, educational level, occupation, living status, history of hepatitis B examinations, history of blood transfusion, vaccination, family history, coastal living, and district were the potential influencing factors. Multivariate logistic regression indicated that occupation, living status, history of hepatitis B examinations, vaccination and district were the influencing factors. Undertaking a service-based tertiary industry job (OR 1.19, 95% CI 0.94 to 1.51) and non-single living (OR 2.84, 95% CI 2.17 to 3.70) might be risk factors, while vaccination (OR 0.43, 95% CI 0.34 to 0.53) and history of hepatitis B examinations (OR 0.71, 95% CI 0.48 to 1.03) were potential protective factors.
CONCLUSIONS: The prevalence of hepatitis B is at an intermediate epidemic level in a rural residential population in Zhejiang, China. Raising vaccination coverage, especially in adults, is a suitable strategy for the prevention and control of hepatitis B.

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MeSH Term

Adolescent
Adult
Age Factors
Aged
Aged, 80 and over
Blood Transfusion
Child
Child, Preschool
China
Cross-Sectional Studies
Educational Status
Female
Hepatitis B Surface Antigens
Hepatitis B Vaccines
Hepatitis B, Chronic
Humans
Infant
Infant, Newborn
Logistic Models
Male
Middle Aged
Multivariate Analysis
Occupations
Odds Ratio
Prevalence
Residence Characteristics
Risk Factors
Rural Population
Seroepidemiologic Studies
Young Adult

Chemicals

Hepatitis B Surface Antigens
Hepatitis B Vaccines