Background: High risk human papillomavirus (HPV) infection is the major cause of cervical cancer. Several epidemiological studies have performed HPV screening in Chinese women, but no report was for Shanghai suburb women.

Objectives: To understand the prevalence of HPV infection and risk factors in Shanghai suburbs.

Study Design: Between March 2011 and May 2011, 10,000 female volunteers lived in Fengxian District of Shanghai were recruited for the detection of 21 HPV types using PCR and fast flow hybridization of gene chip array. For the 508 HPV-positive patients, we performed the liquid-based ThinPrep cytology test (TCT) and histological examination for the diagnosis of local cervical lesions. The questionnaire surveyed demographic and behavioral indicators for the evaluation of risk factors of HPV infection.

Results: We found that the HPV-positive rate was 12.6%. The five top HPV types were as follows (in descending order): HPV52, 16, 58, 18 and 33. Moreover, HPV-positive rates were higher in women with older age, lower educational level, younger age of the first sexual intercourse, multiple sexual partners, no usage of condom for contraception, multiple deliveries, vaginal delivery, menopause, vaginal inflammation, cervical erosion and no regular cervical cytological examination. We also found that an HPV genotyping in combination with TCT and histological examination could improve early diagnosis for local cervical lesions.

Conclusion: HPV infection was associated with age, sexual behavior and chronic inflammation of the cervix and vagina. We recommend popularizing HPV genotyping in women with high risk factors for the early diagnosis and prevention of cervical cancer.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jcv.2013.06.012DOI Listing

Publication Analysis

Top Keywords

risk factors
16
hpv infection
12
hpv
9
human papillomavirus
8
high risk
8
cervical cancer
8
hpv types
8
tct histological
8
histological examination
8
diagnosis local
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!